index
int64 0
100k
| blob_id
stringlengths 40
40
| code
stringlengths 7
7.27M
| steps
listlengths 1
1.25k
| error
bool 2
classes |
|---|---|---|---|---|
98,700 |
013c59462ddc35d0ce6f5ffbece93de00c3369d4
|
import math
from functional.pipeline import Sequence
def dot_product(xs: Sequence, ys: Sequence) -> float:
return xs \
.zip(ys) \
.map(lambda t: t[0] * t[1]) \
.sum()
def euclidean_distance(xs: Sequence, ys: Sequence) -> float:
s = xs \
.zip(ys) \
.map(lambda t: (t[0] - t[1]) * (t[0] - t[1])) \
.sum()
return math.sqrt(s)
def root_mean_square_error_d(y_hat: Sequence, y: Sequence) -> float:
d = euclidean_distance(y_hat, y)
return d * d
def root_mean_square_error(y_hats_with_ys: Sequence) -> float:
(n, s) = y_hats_with_ys \
.map(lambda t: root_mean_square_error_d(t[0], t[1])) \
.fold_left((0, 0.0), lambda acc, x: (acc[0] + 1, acc[1] + x))
return math.sqrt(s / n)
|
[
"import math\n\nfrom functional.pipeline import Sequence\n\n\ndef dot_product(xs: Sequence, ys: Sequence) -> float:\n return xs \\\n .zip(ys) \\\n .map(lambda t: t[0] * t[1]) \\\n .sum()\n\n\ndef euclidean_distance(xs: Sequence, ys: Sequence) -> float:\n s = xs \\\n .zip(ys) \\\n .map(lambda t: (t[0] - t[1]) * (t[0] - t[1])) \\\n .sum()\n return math.sqrt(s)\n\n\ndef root_mean_square_error_d(y_hat: Sequence, y: Sequence) -> float:\n d = euclidean_distance(y_hat, y)\n return d * d\n\n\ndef root_mean_square_error(y_hats_with_ys: Sequence) -> float:\n (n, s) = y_hats_with_ys \\\n .map(lambda t: root_mean_square_error_d(t[0], t[1])) \\\n .fold_left((0, 0.0), lambda acc, x: (acc[0] + 1, acc[1] + x))\n return math.sqrt(s / n)\n",
"import math\nfrom functional.pipeline import Sequence\n\n\ndef dot_product(xs: Sequence, ys: Sequence) ->float:\n return xs.zip(ys).map(lambda t: t[0] * t[1]).sum()\n\n\ndef euclidean_distance(xs: Sequence, ys: Sequence) ->float:\n s = xs.zip(ys).map(lambda t: (t[0] - t[1]) * (t[0] - t[1])).sum()\n return math.sqrt(s)\n\n\ndef root_mean_square_error_d(y_hat: Sequence, y: Sequence) ->float:\n d = euclidean_distance(y_hat, y)\n return d * d\n\n\ndef root_mean_square_error(y_hats_with_ys: Sequence) ->float:\n n, s = y_hats_with_ys.map(lambda t: root_mean_square_error_d(t[0], t[1])\n ).fold_left((0, 0.0), lambda acc, x: (acc[0] + 1, acc[1] + x))\n return math.sqrt(s / n)\n",
"<import token>\n\n\ndef dot_product(xs: Sequence, ys: Sequence) ->float:\n return xs.zip(ys).map(lambda t: t[0] * t[1]).sum()\n\n\ndef euclidean_distance(xs: Sequence, ys: Sequence) ->float:\n s = xs.zip(ys).map(lambda t: (t[0] - t[1]) * (t[0] - t[1])).sum()\n return math.sqrt(s)\n\n\ndef root_mean_square_error_d(y_hat: Sequence, y: Sequence) ->float:\n d = euclidean_distance(y_hat, y)\n return d * d\n\n\ndef root_mean_square_error(y_hats_with_ys: Sequence) ->float:\n n, s = y_hats_with_ys.map(lambda t: root_mean_square_error_d(t[0], t[1])\n ).fold_left((0, 0.0), lambda acc, x: (acc[0] + 1, acc[1] + x))\n return math.sqrt(s / n)\n",
"<import token>\n\n\ndef dot_product(xs: Sequence, ys: Sequence) ->float:\n return xs.zip(ys).map(lambda t: t[0] * t[1]).sum()\n\n\ndef euclidean_distance(xs: Sequence, ys: Sequence) ->float:\n s = xs.zip(ys).map(lambda t: (t[0] - t[1]) * (t[0] - t[1])).sum()\n return math.sqrt(s)\n\n\ndef root_mean_square_error_d(y_hat: Sequence, y: Sequence) ->float:\n d = euclidean_distance(y_hat, y)\n return d * d\n\n\n<function token>\n",
"<import token>\n<function token>\n\n\ndef euclidean_distance(xs: Sequence, ys: Sequence) ->float:\n s = xs.zip(ys).map(lambda t: (t[0] - t[1]) * (t[0] - t[1])).sum()\n return math.sqrt(s)\n\n\ndef root_mean_square_error_d(y_hat: Sequence, y: Sequence) ->float:\n d = euclidean_distance(y_hat, y)\n return d * d\n\n\n<function token>\n",
"<import token>\n<function token>\n\n\ndef euclidean_distance(xs: Sequence, ys: Sequence) ->float:\n s = xs.zip(ys).map(lambda t: (t[0] - t[1]) * (t[0] - t[1])).sum()\n return math.sqrt(s)\n\n\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,701 |
80ed00de885686f1a017dd3a23d7a1903ec07139
|
"""TVM operator upsampling compute."""
from __future__ import absolute_import
import tvm
from .. import util
def upsampling(data, scale, layout="NCHW"):
"""Perform nearest neighbor upsampling on the data.
Bilinear upsampling is not supported.
Parameters
----------
data : tvm.Tensor
4-D with shape [batch, channel, in_height, in_width]
or [batch, in_height, in_width, channel]
scale: int
upsampling scaling factor
layout: string
either "NCHW" or "NHWC"
Returns
-------
output : tvm.Tensor
4-D with shape [batch, channel, in_height*scale, in_width*scale]
or [batch, in_height*scale, in_width*scale, channel]
"""
if layout == "NCHW":
return upsampling_nchw(data, scale)
elif layout == "NHWC":
return upsampling_nhwc(data, scale)
else:
raise ValueError("not support this layout {} yet".format(layout))
def upsampling_nchw(data, scale):
"""Perform nearest neighor upsampling on NCHW layout input.
Parameters
----------
data : tvm.Tensor
4-D with shape [batch, channel, in_height, in_width]
scale: int
upsampling scaling factor
Returns
-------
output : tvm.Tensor
4-D with shape [batch, channel, in_height*scale, in_width*scale]
"""
batch, channel, height, width = data.shape
out_height = util.simplify(height * scale)
out_width = util.simplify(width * scale)
return tvm.compute((batch, channel, out_height, out_width), \
lambda n, c, h, w: data[n, c, h/scale, w/scale])
def upsampling_nhwc(data, scale):
"""Perform nearest neighor upsampling on NHWC layout input.
Parameters
----------
data : tvm.Tensor
4-D with shape [batch, in_height, in_width, channel]
scale: int
upsampling scaling factor
"""
batch, height, width, channel = data.shape
out_height = util.simplify(height * scale)
out_width = util.simplify(width * scale)
return tvm.compute((batch, out_height, out_width, channel), \
lambda n, h, w, c: data[n, h/scale, w/scale, c])
|
[
"\"\"\"TVM operator upsampling compute.\"\"\"\nfrom __future__ import absolute_import\nimport tvm\nfrom .. import util\n\n\ndef upsampling(data, scale, layout=\"NCHW\"):\n \"\"\"Perform nearest neighbor upsampling on the data.\n Bilinear upsampling is not supported.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n or [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n layout: string\n either \"NCHW\" or \"NHWC\"\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n or [batch, in_height*scale, in_width*scale, channel]\n \"\"\"\n\n if layout == \"NCHW\":\n return upsampling_nchw(data, scale)\n elif layout == \"NHWC\":\n return upsampling_nhwc(data, scale)\n else:\n raise ValueError(\"not support this layout {} yet\".format(layout))\n\n\ndef upsampling_nchw(data, scale):\n \"\"\"Perform nearest neighor upsampling on NCHW layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n\n scale: int\n upsampling scaling factor\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n \"\"\"\n batch, channel, height, width = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n\n return tvm.compute((batch, channel, out_height, out_width), \\\n lambda n, c, h, w: data[n, c, h/scale, w/scale])\n\n\ndef upsampling_nhwc(data, scale):\n \"\"\"Perform nearest neighor upsampling on NHWC layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n \"\"\"\n\n batch, height, width, channel = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n\n return tvm.compute((batch, out_height, out_width, channel), \\\n lambda n, h, w, c: data[n, h/scale, w/scale, c])\n",
"<docstring token>\nfrom __future__ import absolute_import\nimport tvm\nfrom .. import util\n\n\ndef upsampling(data, scale, layout='NCHW'):\n \"\"\"Perform nearest neighbor upsampling on the data.\n Bilinear upsampling is not supported.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n or [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n layout: string\n either \"NCHW\" or \"NHWC\"\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n or [batch, in_height*scale, in_width*scale, channel]\n \"\"\"\n if layout == 'NCHW':\n return upsampling_nchw(data, scale)\n elif layout == 'NHWC':\n return upsampling_nhwc(data, scale)\n else:\n raise ValueError('not support this layout {} yet'.format(layout))\n\n\ndef upsampling_nchw(data, scale):\n \"\"\"Perform nearest neighor upsampling on NCHW layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n\n scale: int\n upsampling scaling factor\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n \"\"\"\n batch, channel, height, width = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n return tvm.compute((batch, channel, out_height, out_width), lambda n, c,\n h, w: data[n, c, h / scale, w / scale])\n\n\ndef upsampling_nhwc(data, scale):\n \"\"\"Perform nearest neighor upsampling on NHWC layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n \"\"\"\n batch, height, width, channel = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n return tvm.compute((batch, out_height, out_width, channel), lambda n, h,\n w, c: data[n, h / scale, w / scale, c])\n",
"<docstring token>\n<import token>\n\n\ndef upsampling(data, scale, layout='NCHW'):\n \"\"\"Perform nearest neighbor upsampling on the data.\n Bilinear upsampling is not supported.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n or [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n layout: string\n either \"NCHW\" or \"NHWC\"\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n or [batch, in_height*scale, in_width*scale, channel]\n \"\"\"\n if layout == 'NCHW':\n return upsampling_nchw(data, scale)\n elif layout == 'NHWC':\n return upsampling_nhwc(data, scale)\n else:\n raise ValueError('not support this layout {} yet'.format(layout))\n\n\ndef upsampling_nchw(data, scale):\n \"\"\"Perform nearest neighor upsampling on NCHW layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n\n scale: int\n upsampling scaling factor\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n \"\"\"\n batch, channel, height, width = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n return tvm.compute((batch, channel, out_height, out_width), lambda n, c,\n h, w: data[n, c, h / scale, w / scale])\n\n\ndef upsampling_nhwc(data, scale):\n \"\"\"Perform nearest neighor upsampling on NHWC layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n \"\"\"\n batch, height, width, channel = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n return tvm.compute((batch, out_height, out_width, channel), lambda n, h,\n w, c: data[n, h / scale, w / scale, c])\n",
"<docstring token>\n<import token>\n\n\ndef upsampling(data, scale, layout='NCHW'):\n \"\"\"Perform nearest neighbor upsampling on the data.\n Bilinear upsampling is not supported.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n or [batch, in_height, in_width, channel]\n\n scale: int\n upsampling scaling factor\n\n layout: string\n either \"NCHW\" or \"NHWC\"\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n or [batch, in_height*scale, in_width*scale, channel]\n \"\"\"\n if layout == 'NCHW':\n return upsampling_nchw(data, scale)\n elif layout == 'NHWC':\n return upsampling_nhwc(data, scale)\n else:\n raise ValueError('not support this layout {} yet'.format(layout))\n\n\ndef upsampling_nchw(data, scale):\n \"\"\"Perform nearest neighor upsampling on NCHW layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n\n scale: int\n upsampling scaling factor\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n \"\"\"\n batch, channel, height, width = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n return tvm.compute((batch, channel, out_height, out_width), lambda n, c,\n h, w: data[n, c, h / scale, w / scale])\n\n\n<function token>\n",
"<docstring token>\n<import token>\n<function token>\n\n\ndef upsampling_nchw(data, scale):\n \"\"\"Perform nearest neighor upsampling on NCHW layout input.\n\n Parameters\n ----------\n data : tvm.Tensor\n 4-D with shape [batch, channel, in_height, in_width]\n\n scale: int\n upsampling scaling factor\n\n Returns\n -------\n output : tvm.Tensor\n 4-D with shape [batch, channel, in_height*scale, in_width*scale]\n \"\"\"\n batch, channel, height, width = data.shape\n out_height = util.simplify(height * scale)\n out_width = util.simplify(width * scale)\n return tvm.compute((batch, channel, out_height, out_width), lambda n, c,\n h, w: data[n, c, h / scale, w / scale])\n\n\n<function token>\n",
"<docstring token>\n<import token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,702 |
490b7043fb91993d21ffa8b1d946bb10bebe3cb4
|
from common import getinput, bothparts, noop
from typing import List, Dict, Set
import re
from pathlib import Path
from os import sep
DIR = str(Path(__file__).parent) + sep
class IDProfiler:
__slots__ = ["hastwo", "hasthree", "rawstr"]
def __init__(self, rawstr: str = "") -> None:
self.rawstr: str = rawstr
self.hastwo: bool = False
self.hasthree: bool = False
counts: Dict[str, int] = dict()
for letter in rawstr:
if letter not in counts:
counts[letter] = 0
counts[letter] += 1
for key, val in counts.items():
if val == 2:
self.hastwo = True
elif val == 3:
self.hasthree = True
def sharedletters(self, idprofiler: "IDProfiler") -> str:
""" Return the shared in-order letters between self and idprofiler """
shared: str = ""
for i in range(len(self.rawstr)):
if self.rawstr[i] is idprofiler.rawstr[i]:
shared += self.rawstr[i]
return shared
def getidlist(data: str = None) -> List[IDProfiler]:
""" Return a list of IDProfilers from provided data or input.txt """
boxids: str = getinput(directory=DIR) if data is None else data
idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split("\n")))
return idlist
def part1(data: str = None) -> int:
""" Return the checksum """
idlist: List[IDProfiler] = getidlist(data)
hastwo: List[IDProfiler] = list(filter(lambda a: a.hastwo is True, idlist))
hasthree: List[IDProfiler] = list(filter(lambda a: a.hasthree is True, idlist))
return len(hastwo) * len(hasthree)
def part2(data: str = None) -> str:
""" Return the shared letters between two in which there is only one discrepancy """
idlist: List[IDProfiler] = getidlist(data)
for i in range(len(idlist)):
for j in range(i + 1, len(idlist)):
shared: str = idlist[i].sharedletters(idlist[j])
if len(shared) is len(idlist[i].rawstr) - 1:
return shared
def minpart1(data: str = open(DIR+"input.txt", "r").read()) -> int:
""" Return the checksum (minified version of part1) """
lines: List[str] = data.split("\n")
sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))
for i in range(ord("a"), ord("z") + 1):
for line in lines:
sets[len(re.findall(f"{chr(i)}", line))].add(line)
return len(sets[2]) * len(sets[3])
def minpart2(d: str = open(DIR+"input.txt", "r").read(), s: Set[str] = None, a: int = 0, b: int = 1, p: int = 0) -> str:
"""
Return the shared letters between two in which there is only one discrepancy
(minified version of part2) (longer runtime)
"""
seen: Set[str] = s if s is not None else set()
lines: List[str] = d.split("\n")
if p >= len(lines[a]) or b >= len(lines) or f"{a}-{b}-{p}" in seen or "found" in seen:
return ""
seen.add(f"{a}-{b}-{p}")
if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:] and seen.add("found") is None:
return lines[a][:p] + lines[a][p + 1:]
return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b + 1, p), minpart2(d, seen, a, b, p + 1))
if __name__ == '__main__': # pragma: no cover
bothparts(part1, part2)
noop()
|
[
"from common import getinput, bothparts, noop\nfrom typing import List, Dict, Set\nimport re\nfrom pathlib import Path\nfrom os import sep\n\nDIR = str(Path(__file__).parent) + sep\n\n\nclass IDProfiler:\n __slots__ = [\"hastwo\", \"hasthree\", \"rawstr\"]\n\n def __init__(self, rawstr: str = \"\") -> None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: \"IDProfiler\") -> str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = \"\"\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str = None) -> List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split(\"\\n\")))\n return idlist\n\n\ndef part1(data: str = None) -> int:\n \"\"\" Return the checksum \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n hastwo: List[IDProfiler] = list(filter(lambda a: a.hastwo is True, idlist))\n hasthree: List[IDProfiler] = list(filter(lambda a: a.hasthree is True, idlist))\n return len(hastwo) * len(hasthree)\n\n\ndef part2(data: str = None) -> str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str = open(DIR+\"input.txt\", \"r\").read()) -> int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split(\"\\n\")\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord(\"a\"), ord(\"z\") + 1):\n for line in lines:\n sets[len(re.findall(f\"{chr(i)}\", line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\ndef minpart2(d: str = open(DIR+\"input.txt\", \"r\").read(), s: Set[str] = None, a: int = 0, b: int = 1, p: int = 0) -> str:\n \"\"\"\n Return the shared letters between two in which there is only one discrepancy\n (minified version of part2) (longer runtime)\n \"\"\"\n seen: Set[str] = s if s is not None else set()\n lines: List[str] = d.split(\"\\n\")\n if p >= len(lines[a]) or b >= len(lines) or f\"{a}-{b}-{p}\" in seen or \"found\" in seen:\n return \"\"\n seen.add(f\"{a}-{b}-{p}\")\n if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:] and seen.add(\"found\") is None:\n return lines[a][:p] + lines[a][p + 1:]\n return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b + 1, p), minpart2(d, seen, a, b, p + 1))\n\n\nif __name__ == '__main__': # pragma: no cover\n bothparts(part1, part2)\n noop()\n",
"from common import getinput, bothparts, noop\nfrom typing import List, Dict, Set\nimport re\nfrom pathlib import Path\nfrom os import sep\nDIR = str(Path(__file__).parent) + sep\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\ndef part1(data: str=None) ->int:\n \"\"\" Return the checksum \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n hastwo: List[IDProfiler] = list(filter(lambda a: a.hastwo is True, idlist))\n hasthree: List[IDProfiler] = list(filter(lambda a: a.hasthree is True,\n idlist))\n return len(hastwo) * len(hasthree)\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str=open(DIR + 'input.txt', 'r').read()) ->int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split('\\n')\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord('a'), ord('z') + 1):\n for line in lines:\n sets[len(re.findall(f'{chr(i)}', line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\ndef minpart2(d: str=open(DIR + 'input.txt', 'r').read(), s: Set[str]=None,\n a: int=0, b: int=1, p: int=0) ->str:\n \"\"\"\n Return the shared letters between two in which there is only one discrepancy\n (minified version of part2) (longer runtime)\n \"\"\"\n seen: Set[str] = s if s is not None else set()\n lines: List[str] = d.split('\\n')\n if p >= len(lines[a]) or b >= len(lines\n ) or f'{a}-{b}-{p}' in seen or 'found' in seen:\n return ''\n seen.add(f'{a}-{b}-{p}')\n if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:\n ] and seen.add('found') is None:\n return lines[a][:p] + lines[a][p + 1:]\n return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b +\n 1, p), minpart2(d, seen, a, b, p + 1))\n\n\nif __name__ == '__main__':\n bothparts(part1, part2)\n noop()\n",
"<import token>\nDIR = str(Path(__file__).parent) + sep\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\ndef part1(data: str=None) ->int:\n \"\"\" Return the checksum \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n hastwo: List[IDProfiler] = list(filter(lambda a: a.hastwo is True, idlist))\n hasthree: List[IDProfiler] = list(filter(lambda a: a.hasthree is True,\n idlist))\n return len(hastwo) * len(hasthree)\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str=open(DIR + 'input.txt', 'r').read()) ->int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split('\\n')\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord('a'), ord('z') + 1):\n for line in lines:\n sets[len(re.findall(f'{chr(i)}', line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\ndef minpart2(d: str=open(DIR + 'input.txt', 'r').read(), s: Set[str]=None,\n a: int=0, b: int=1, p: int=0) ->str:\n \"\"\"\n Return the shared letters between two in which there is only one discrepancy\n (minified version of part2) (longer runtime)\n \"\"\"\n seen: Set[str] = s if s is not None else set()\n lines: List[str] = d.split('\\n')\n if p >= len(lines[a]) or b >= len(lines\n ) or f'{a}-{b}-{p}' in seen or 'found' in seen:\n return ''\n seen.add(f'{a}-{b}-{p}')\n if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:\n ] and seen.add('found') is None:\n return lines[a][:p] + lines[a][p + 1:]\n return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b +\n 1, p), minpart2(d, seen, a, b, p + 1))\n\n\nif __name__ == '__main__':\n bothparts(part1, part2)\n noop()\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\ndef part1(data: str=None) ->int:\n \"\"\" Return the checksum \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n hastwo: List[IDProfiler] = list(filter(lambda a: a.hastwo is True, idlist))\n hasthree: List[IDProfiler] = list(filter(lambda a: a.hasthree is True,\n idlist))\n return len(hastwo) * len(hasthree)\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str=open(DIR + 'input.txt', 'r').read()) ->int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split('\\n')\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord('a'), ord('z') + 1):\n for line in lines:\n sets[len(re.findall(f'{chr(i)}', line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\ndef minpart2(d: str=open(DIR + 'input.txt', 'r').read(), s: Set[str]=None,\n a: int=0, b: int=1, p: int=0) ->str:\n \"\"\"\n Return the shared letters between two in which there is only one discrepancy\n (minified version of part2) (longer runtime)\n \"\"\"\n seen: Set[str] = s if s is not None else set()\n lines: List[str] = d.split('\\n')\n if p >= len(lines[a]) or b >= len(lines\n ) or f'{a}-{b}-{p}' in seen or 'found' in seen:\n return ''\n seen.add(f'{a}-{b}-{p}')\n if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:\n ] and seen.add('found') is None:\n return lines[a][:p] + lines[a][p + 1:]\n return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b +\n 1, p), minpart2(d, seen, a, b, p + 1))\n\n\nif __name__ == '__main__':\n bothparts(part1, part2)\n noop()\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\ndef part1(data: str=None) ->int:\n \"\"\" Return the checksum \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n hastwo: List[IDProfiler] = list(filter(lambda a: a.hastwo is True, idlist))\n hasthree: List[IDProfiler] = list(filter(lambda a: a.hasthree is True,\n idlist))\n return len(hastwo) * len(hasthree)\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str=open(DIR + 'input.txt', 'r').read()) ->int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split('\\n')\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord('a'), ord('z') + 1):\n for line in lines:\n sets[len(re.findall(f'{chr(i)}', line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\ndef minpart2(d: str=open(DIR + 'input.txt', 'r').read(), s: Set[str]=None,\n a: int=0, b: int=1, p: int=0) ->str:\n \"\"\"\n Return the shared letters between two in which there is only one discrepancy\n (minified version of part2) (longer runtime)\n \"\"\"\n seen: Set[str] = s if s is not None else set()\n lines: List[str] = d.split('\\n')\n if p >= len(lines[a]) or b >= len(lines\n ) or f'{a}-{b}-{p}' in seen or 'found' in seen:\n return ''\n seen.add(f'{a}-{b}-{p}')\n if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:\n ] and seen.add('found') is None:\n return lines[a][:p] + lines[a][p + 1:]\n return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b +\n 1, p), minpart2(d, seen, a, b, p + 1))\n\n\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\n<function token>\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str=open(DIR + 'input.txt', 'r').read()) ->int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split('\\n')\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord('a'), ord('z') + 1):\n for line in lines:\n sets[len(re.findall(f'{chr(i)}', line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\ndef minpart2(d: str=open(DIR + 'input.txt', 'r').read(), s: Set[str]=None,\n a: int=0, b: int=1, p: int=0) ->str:\n \"\"\"\n Return the shared letters between two in which there is only one discrepancy\n (minified version of part2) (longer runtime)\n \"\"\"\n seen: Set[str] = s if s is not None else set()\n lines: List[str] = d.split('\\n')\n if p >= len(lines[a]) or b >= len(lines\n ) or f'{a}-{b}-{p}' in seen or 'found' in seen:\n return ''\n seen.add(f'{a}-{b}-{p}')\n if lines[a][:p] + lines[a][p + 1:] == lines[b][:p] + lines[b][p + 1:\n ] and seen.add('found') is None:\n return lines[a][:p] + lines[a][p + 1:]\n return max(minpart2(d, seen, a, b + 1, p), minpart2(d, seen, a + 1, b +\n 1, p), minpart2(d, seen, a, b, p + 1))\n\n\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\n<function token>\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\ndef minpart1(data: str=open(DIR + 'input.txt', 'r').read()) ->int:\n \"\"\" Return the checksum (minified version of part1) \"\"\"\n lines: List[str] = data.split('\\n')\n sets: List[Set[str]] = list(map(lambda a: set(), range(len(lines[0]) + 1)))\n for i in range(ord('a'), ord('z') + 1):\n for line in lines:\n sets[len(re.findall(f'{chr(i)}', line))].add(line)\n return len(sets[2]) * len(sets[3])\n\n\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\ndef getidlist(data: str=None) ->List[IDProfiler]:\n \"\"\" Return a list of IDProfilers from provided data or input.txt \"\"\"\n boxids: str = getinput(directory=DIR) if data is None else data\n idlist: List[IDProfiler] = list(map(IDProfiler, boxids.split('\\n')))\n return idlist\n\n\n<function token>\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\n<function token>\n<function token>\n\n\ndef part2(data: str=None) ->str:\n \"\"\" Return the shared letters between two in which there is only one discrepancy \"\"\"\n idlist: List[IDProfiler] = getidlist(data)\n for i in range(len(idlist)):\n for j in range(i + 1, len(idlist)):\n shared: str = idlist[i].sharedletters(idlist[j])\n if len(shared) is len(idlist[i].rawstr) - 1:\n return shared\n\n\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n __slots__ = ['hastwo', 'hasthree', 'rawstr']\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n <assignment token>\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n\n def sharedletters(self, idprofiler: 'IDProfiler') ->str:\n \"\"\" Return the shared in-order letters between self and idprofiler \"\"\"\n shared: str = ''\n for i in range(len(self.rawstr)):\n if self.rawstr[i] is idprofiler.rawstr[i]:\n shared += self.rawstr[i]\n return shared\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n <assignment token>\n\n def __init__(self, rawstr: str='') ->None:\n self.rawstr: str = rawstr\n self.hastwo: bool = False\n self.hasthree: bool = False\n counts: Dict[str, int] = dict()\n for letter in rawstr:\n if letter not in counts:\n counts[letter] = 0\n counts[letter] += 1\n for key, val in counts.items():\n if val == 2:\n self.hastwo = True\n elif val == 3:\n self.hasthree = True\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n\n\nclass IDProfiler:\n <assignment token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<assignment token>\n<class token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,703 |
2b49e98dde6a975422d2d804a7b7faf45b985702
|
colors = ["black", "red", "green", "yellow", "blue", "magenta", "cyan", "white"]
def make_colors(start):
res = {}
for i in range(len(colors)):
res[colors[i]] = '\033[' + str(start+i) + 'm'
return res
foreground_normal = make_colors(30)
foreground_bright = make_colors(90)
def color(s, c, scheme = None):
if (scheme == None):
scheme = foreground_bright
return scheme[c] + s + '\033[0m'
def bold(s):
return '\033[1m' + s + '\033[0m'
|
[
"\ncolors = [\"black\", \"red\", \"green\", \"yellow\", \"blue\", \"magenta\", \"cyan\", \"white\"]\n\ndef make_colors(start):\n res = {}\n for i in range(len(colors)):\n res[colors[i]] = '\\033[' + str(start+i) + 'm'\n return res\n\nforeground_normal = make_colors(30)\nforeground_bright = make_colors(90)\n\ndef color(s, c, scheme = None):\n if (scheme == None):\n scheme = foreground_bright\n return scheme[c] + s + '\\033[0m'\n\ndef bold(s):\n return '\\033[1m' + s + '\\033[0m'\n\n",
"colors = ['black', 'red', 'green', 'yellow', 'blue', 'magenta', 'cyan', 'white'\n ]\n\n\ndef make_colors(start):\n res = {}\n for i in range(len(colors)):\n res[colors[i]] = '\\x1b[' + str(start + i) + 'm'\n return res\n\n\nforeground_normal = make_colors(30)\nforeground_bright = make_colors(90)\n\n\ndef color(s, c, scheme=None):\n if scheme == None:\n scheme = foreground_bright\n return scheme[c] + s + '\\x1b[0m'\n\n\ndef bold(s):\n return '\\x1b[1m' + s + '\\x1b[0m'\n",
"<assignment token>\n\n\ndef make_colors(start):\n res = {}\n for i in range(len(colors)):\n res[colors[i]] = '\\x1b[' + str(start + i) + 'm'\n return res\n\n\n<assignment token>\n\n\ndef color(s, c, scheme=None):\n if scheme == None:\n scheme = foreground_bright\n return scheme[c] + s + '\\x1b[0m'\n\n\ndef bold(s):\n return '\\x1b[1m' + s + '\\x1b[0m'\n",
"<assignment token>\n<function token>\n<assignment token>\n\n\ndef color(s, c, scheme=None):\n if scheme == None:\n scheme = foreground_bright\n return scheme[c] + s + '\\x1b[0m'\n\n\ndef bold(s):\n return '\\x1b[1m' + s + '\\x1b[0m'\n",
"<assignment token>\n<function token>\n<assignment token>\n\n\ndef color(s, c, scheme=None):\n if scheme == None:\n scheme = foreground_bright\n return scheme[c] + s + '\\x1b[0m'\n\n\n<function token>\n",
"<assignment token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n"
] | false |
98,704 |
38ea60f0b933720cfaa87c007031f82e2841625b
|
import grpc
import calculator_pb2, calculator_pb2_grpc
def print_results(request, response, procedure_name) -> None:
"""
Prints results of a fulfilled request.
"""
procedure_names_dict = {
'SquareRoot': calculator_pb2_grpc.CalculatorServicer.SquareRoot.__name__,
'Square': calculator_pb2_grpc.CalculatorServicer.Square.__name__,
}
print_string = f"Request: {procedure_names_dict[procedure_name]} for {request.value}.\nResponse: {response.value}.\n"
print(print_string)
# open a gRPC channel
channel = grpc.insecure_channel("localhost:50051")
# create a stub: converts parameters passed between client and server during a remote procedure call
stub = calculator_pb2_grpc.CalculatorStub(channel)
# create a valid request message
request = calculator_pb2.Number(value=9)
# make the remote procedure call (rpc)
response = stub.SquareRoot(request)
print_results(request, response, 'SquareRoot')
# make new requests and fulfill
request = calculator_pb2.Number(value=16)
response = stub.SquareRoot(request)
print_results(request, response, 'SquareRoot')
# request: square
request = calculator_pb2.Number(value=5)
response = stub.Square(request)
print_results(request, response, 'Square')
|
[
"import grpc\n\nimport calculator_pb2, calculator_pb2_grpc\n\ndef print_results(request, response, procedure_name) -> None:\n \"\"\"\n Prints results of a fulfilled request.\n \"\"\"\n procedure_names_dict = {\n 'SquareRoot': calculator_pb2_grpc.CalculatorServicer.SquareRoot.__name__,\n 'Square': calculator_pb2_grpc.CalculatorServicer.Square.__name__,\n }\n print_string = f\"Request: {procedure_names_dict[procedure_name]} for {request.value}.\\nResponse: {response.value}.\\n\"\n print(print_string)\n\n\n# open a gRPC channel\nchannel = grpc.insecure_channel(\"localhost:50051\")\n\n# create a stub: converts parameters passed between client and server during a remote procedure call\nstub = calculator_pb2_grpc.CalculatorStub(channel)\n\n# create a valid request message\nrequest = calculator_pb2.Number(value=9)\n\n# make the remote procedure call (rpc)\nresponse = stub.SquareRoot(request)\n\nprint_results(request, response, 'SquareRoot')\n\n\n# make new requests and fulfill\nrequest = calculator_pb2.Number(value=16)\nresponse = stub.SquareRoot(request)\nprint_results(request, response, 'SquareRoot')\n\n\n# request: square\nrequest = calculator_pb2.Number(value=5)\nresponse = stub.Square(request)\nprint_results(request, response, 'Square')\n",
"import grpc\nimport calculator_pb2, calculator_pb2_grpc\n\n\ndef print_results(request, response, procedure_name) ->None:\n \"\"\"\n Prints results of a fulfilled request.\n \"\"\"\n procedure_names_dict = {'SquareRoot': calculator_pb2_grpc.\n CalculatorServicer.SquareRoot.__name__, 'Square':\n calculator_pb2_grpc.CalculatorServicer.Square.__name__}\n print_string = f\"\"\"Request: {procedure_names_dict[procedure_name]} for {request.value}.\nResponse: {response.value}.\n\"\"\"\n print(print_string)\n\n\nchannel = grpc.insecure_channel('localhost:50051')\nstub = calculator_pb2_grpc.CalculatorStub(channel)\nrequest = calculator_pb2.Number(value=9)\nresponse = stub.SquareRoot(request)\nprint_results(request, response, 'SquareRoot')\nrequest = calculator_pb2.Number(value=16)\nresponse = stub.SquareRoot(request)\nprint_results(request, response, 'SquareRoot')\nrequest = calculator_pb2.Number(value=5)\nresponse = stub.Square(request)\nprint_results(request, response, 'Square')\n",
"<import token>\n\n\ndef print_results(request, response, procedure_name) ->None:\n \"\"\"\n Prints results of a fulfilled request.\n \"\"\"\n procedure_names_dict = {'SquareRoot': calculator_pb2_grpc.\n CalculatorServicer.SquareRoot.__name__, 'Square':\n calculator_pb2_grpc.CalculatorServicer.Square.__name__}\n print_string = f\"\"\"Request: {procedure_names_dict[procedure_name]} for {request.value}.\nResponse: {response.value}.\n\"\"\"\n print(print_string)\n\n\nchannel = grpc.insecure_channel('localhost:50051')\nstub = calculator_pb2_grpc.CalculatorStub(channel)\nrequest = calculator_pb2.Number(value=9)\nresponse = stub.SquareRoot(request)\nprint_results(request, response, 'SquareRoot')\nrequest = calculator_pb2.Number(value=16)\nresponse = stub.SquareRoot(request)\nprint_results(request, response, 'SquareRoot')\nrequest = calculator_pb2.Number(value=5)\nresponse = stub.Square(request)\nprint_results(request, response, 'Square')\n",
"<import token>\n\n\ndef print_results(request, response, procedure_name) ->None:\n \"\"\"\n Prints results of a fulfilled request.\n \"\"\"\n procedure_names_dict = {'SquareRoot': calculator_pb2_grpc.\n CalculatorServicer.SquareRoot.__name__, 'Square':\n calculator_pb2_grpc.CalculatorServicer.Square.__name__}\n print_string = f\"\"\"Request: {procedure_names_dict[procedure_name]} for {request.value}.\nResponse: {response.value}.\n\"\"\"\n print(print_string)\n\n\n<assignment token>\nprint_results(request, response, 'SquareRoot')\n<assignment token>\nprint_results(request, response, 'SquareRoot')\n<assignment token>\nprint_results(request, response, 'Square')\n",
"<import token>\n\n\ndef print_results(request, response, procedure_name) ->None:\n \"\"\"\n Prints results of a fulfilled request.\n \"\"\"\n procedure_names_dict = {'SquareRoot': calculator_pb2_grpc.\n CalculatorServicer.SquareRoot.__name__, 'Square':\n calculator_pb2_grpc.CalculatorServicer.Square.__name__}\n print_string = f\"\"\"Request: {procedure_names_dict[procedure_name]} for {request.value}.\nResponse: {response.value}.\n\"\"\"\n print(print_string)\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<import token>\n<function token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,705 |
11e8b835f13d141d1766363f1fd9a0117d43b9ac
|
def s1r0 (text,key):
output = ""
for char in text:
if (65 <= ord(char) and ord(char) <= 90) or (97 <= ord(char) and ord(char) <= 122):
case = 97 if (97 <= ord(char) and ord(char) <= 122) else 65
shift = (chr(((ord(char)+(ord((key[(len(output) % len(key))]).lower()))-97-case) % 26)+ case))
output = output + shift
else:
output = output+char
return output;
|
[
"def s1r0 (text,key):\n output = \"\"\n for char in text: \n if (65 <= ord(char) and ord(char) <= 90) or (97 <= ord(char) and ord(char) <= 122):\n case = 97 if (97 <= ord(char) and ord(char) <= 122) else 65\n shift = (chr(((ord(char)+(ord((key[(len(output) % len(key))]).lower()))-97-case) % 26)+ case))\n output = output + shift\n else:\n output = output+char\n return output;\n ",
"def s1r0(text, key):\n output = ''\n for char in text:\n if 65 <= ord(char) and ord(char) <= 90 or 97 <= ord(char) and ord(char\n ) <= 122:\n case = 97 if 97 <= ord(char) and ord(char) <= 122 else 65\n shift = chr((ord(char) + ord(key[len(output) % len(key)].lower(\n )) - 97 - case) % 26 + case)\n output = output + shift\n else:\n output = output + char\n return output\n",
"<function token>\n"
] | false |
98,706 |
4292d2ec35dfb6f9d04823511443eadf85dd87c9
|
# -*- coding: utf-8 -*-
# author: Guixinyu
# create Time: 2019-10-17 18:15:39
from PyQt5.QtWidgets import *
import sys
import first
import fileselect
import shutil
from first import Ui_MainWindow
import AddLibraryPath
import Enterlibraries
from PyQt5.QtCore import *
from PyQt5.QtGui import *
import os
import re
import subprocess
import time
#读取log的线程
class BackendTread(QThread):
setvalue = pyqtSignal(int)
def __init__(self, parent=None):
super(BackendTread, self).__init__(parent)
self.working=True
def stopSig(self):
self.working=False
def run(self):
#cmd1 = r'''%s\bin\make -j8 all >console.log 2>&1''' % Hdir
'''os.chdir(self.ProjectName_2.text() + '/Default')
self.process = subprocess.call(cmd1)'''
while VAL<NUM and self.working:
num=0
for path,dir,files in os.walk(os.getcwd()):
for file in files:
if file.endswith('.o'):
num=num+1
self.setvalue.emit(num)
#开编译的线程
class BackendTread1(QThread):
startcompile1 = pyqtSignal(str)
endSig = pyqtSignal()
def __init__(self, parent=None):
super(BackendTread1, self).__init__(parent)
def startCom(self):
self.process = subprocess.Popen(cmd1)
def run(self):
#cmd1 = r'''%s\bin\make -j8 all >console.log 2>&1''' % Hdir
'''os.chdir(self.ProjectName_2.text() + '/Default')
self.process = subprocess.call(cmd1)'''
f=open('conerr.err','w+')
self.process = subprocess.Popen(cmd1,stdout=subprocess.PIPE,stderr=f,bufsize=1)
'''self.bt=BackendTread()
self.bt.startcompile.connect(self.PrintConsole)
self.bt.start()'''
self.sleep(3)
while self.process.poll() is None:
#print(1)
r = self.process.stdout.readline().decode('gbk')
if r:
self.startcompile1.emit(r)
if 'tool>pause'in r:
break
os.system(r"taskkill /f /t /im make.exe")#因为在做post-build的时候，al2的工具需要按回车键才能结束进程，因为在这里强制性的使其结束
self.endSig.emit()
class basePage(QMainWindow,Ui_MainWindow):
def __init__(self):
super(basePage, self).__init__()
self.setupUi(self)
self.startpath=os.getcwd()
self.actionbuild.triggered.connect(self.checkFLAG)
#self.menuclean.triggered.connect(self.CleanProject)
self.actionclean.triggered.connect(self.CleanProject)
self.actionopen_project.triggered.connect(self.ChooseProDir)
self.actionsave_project.triggered.connect(self.modifyFLAG)
#self.quitApp.triggered.connect(QCoreApplication.instance().quit) #关闭程序的第一种方式
self.actionexit.triggered.connect(qApp.quit)#关闭程序的第二种方式
#添加工具栏:停止和退出
self.tb1=self.addToolBar('tool')
actionopen1=QAction(QIcon('./Compile/file.png'),"打开工程",self)
self.tb1.addAction(actionopen1)
actionopen1.triggered.connect(self.ChooseProDir)
self.tb1.addSeparator()
actionstop=QAction(QIcon('./Compile/stop.png'),"停止",self)
self.tb1.addAction(actionstop)
actionstop.triggered.connect(self.KillProcess)
self.tb1.addSeparator()
actionExit=QAction(QIcon('./Compile/exit.png'),"退出",self)
self.tb1.addAction(actionExit)
actionExit.triggered.connect(qApp.quit)
##创建右键菜单
#self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)
#self.includeList.customContextMenuRequested.connect(self.showRightMenu)
#self.includeList.customContextMenuRequested[QPoint].connect(self.remove)
#单击一个选项
#self.f=""
#self.includeList.clicked.connect(self.check)
self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)
self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)
self.contextMenu=QMenu(self)
self.actionA=self.contextMenu.addAction("删除")
self.actionA.triggered.connect(self.remove)
self.includeList.customContextMenuRequested.connect(lambda :self.showContextMenu(1))
#self.contextMenu.triggered[QAction].connect(self.remove)
#self.includeList.customContextMenuRequested[QPoint].connect(self.remove1)#[]里的代表传入的参数，自带的
self.excludeList.customContextMenuRequested.connect(lambda :self.showContextMenu(2))
#self.excludeList.customContextMenuRequested[QPoint].connect(self.remove2) # []里的代表传入的参数，自带的
self.delPath1.clicked.connect(self.includeList.clear)
self.delPath2.clicked.connect(self.excludeList.clear)
self.addPath1.clicked.connect(lambda :self.ShowDialog(1))
self.addPath2.clicked.connect(self.AddExpath)
self.fileselect = fileselect.Ui_Dialog()
#初始化page
self.listWidget.currentRowChanged.connect(self.display)
#Library的初始化
self.initLibraryWindow()
self.Llist.setSelectionMode(3)
self.llist.setSelectionMode(3)
#self.add2.clidken.connect(self.ShowLWindow)
#状态栏的部件
self.barlabel = QLabel('barlabel')
#self.initDialog()
#self.fileselect.buttonBox
#print(self.fileselect.treeWidget.currentItem().text(0))
def initUI(self):
self.includeList.clear()
self.excludeList.clear()
self.Llist.clear()
self.llist.clear()
self.ProjectName.setText(self.DebugName)
self.HithTecDir.setText(self.HighTecDir)
self.GCCFLAGName.setText(self.CCFLAG)
self.LINKFLAGName.setText(self.LINKFLAG)
self.ProjectName_2.setText(self.PROJECTDIR)
self.ProjectName_2.setEnabled(False)
self.barlabel.setText('准备中')
self.statusBar.addPermanentWidget(self.barlabel)
self.Result.clear()
if self.includepath:
#a=1
self.includeList.addItems(self.includepath)
if self.excludefiles:
#a=1
self.excludeList.addItems(self.excludefiles)
if self.LibraryPath:
#a=1
self.Llist.addItems(self.LibraryPath)
if self.libraties:
#a=1
self.llist.addItems(self.libraties)
def display(self,index):
self.index=index
self.stackedWidget.setCurrentIndex(index)
def initLibraryWindow(self):
self.LWUI=AddLibraryPath.Ui_LSelect()
self.LWin=QWidget()
self.LWin.setWindowModality(Qt.ApplicationModal)#设置模态对话框
self.LWUI.setupUi(self.LWin)
self.LWUI.LibraryP.setText("")
self.add1.clicked.connect(self.LWin.show)
self.LWUI.L_Cancel.clicked.connect(self.LWin.close)
self.LWUI.L_Workspace.clicked.connect(lambda: self.ShowDialog(1))
self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)
self.del1.clicked.connect(self.DelLibraryPath)
self.lWUI = Enterlibraries.Ui_LSelect()
self.lWin = QWidget()
self.lWin.setWindowModality(Qt.ApplicationModal)
self.lWUI.setupUi(self.lWin)
self.LWUI.LibraryP.setText("")
self.add2.clicked.connect(self.lWin.show)
self.lWUI.l_OK.clicked.connect(self.AddLibraries)
self.lWUI.l_Cancel.clicked.connect(self.lWin.close)
self.del2.clicked.connect(self.DelLibraries)
def KillProcess(self):
#self.process.kill()
#self.process.pid
os.system(r"taskkill /f /t /im make.exe")
self.Result.append('用户终止执行')
def ChooseProDir(self):
dir=QFileDialog.getExistingDirectory()
dir=dir.replace('/','\\')
self.ProjectName_2.setText(dir)
if dir!='':
os.chdir(dir)
import automake_config as ac
(DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath, excludefiles, g_except_dir_list,
g_except_file_list,LibraryPath,libraties) = ac.maininit()
self.includepath=includepath
self.excludefiles=excludefiles
self.DebugName=DebugName
self.CCFLAG=CCFLAG
self.LINKFLAG=LINKFLAG
self.HighTecDir=HighTecDir
self.PROJECTDIR=dir
self.LibraryPath=LibraryPath
self.libraties=libraties
#print(os.getcwd())
self.AllPath=ac.FindAllPath(dir)
#print(self.AllPath)
self.initDialog()
#对Dialog按钮的设置
self.fileselect.buttonBox.accepted.connect(self.GetPath)
self.fileselect.treeWidget.setSelectionMode(3)
self.fileselect.buttonBox.rejected.connect(self.Cleartree)
#self.adds(dir,self.child0)
a.initUI()
def initDialog(self):
self.di = QDialog()
fileselect1 = self.fileselect
fileselect1.setupUi(self.di)
# self.di.show()
child0 = QTreeWidgetItem(fileselect1.treeWidget)
child0.setText(0, self.DebugName)
child0.setIcon(0, QIcon('./Compile/01.png'))
self.adds(os.getcwd(), child0)
child1 = QTreeWidgetItem(child0)
child1.setText(0, 'TOOLS')
child1.setIcon(0, QIcon('./Compile/01.png'))
#展开所有节点
fileselect1.treeWidget.expandAll()
def showContextMenu(self,id):
# 如果有选中项，则显示显示菜单
#if id==1:
items1 = self.includeList.selectedIndexes()
#self.idRm=id
#print(items)
#elif id==2:
items2 = self.excludeList.selectedIndexes()
#self.idRm = id
if items1 or items2:
self.contextMenu.show()
#self.f=QPoint
self.contextMenu.exec_(QCursor.pos()) # 在鼠标位置显示
def remove(self):
items1 = self.includeList.selectedIndexes()
items2 = self.excludeList.selectedIndexes()
if self.index==3:
if items1:
for jj in items1:
self.includeList.removeItemWidget(self.includeList.takeItem(jj.row()))
if self.index == 4:
if items2:
for jj in items2:
self.excludeList.removeItemWidget(self.excludeList.takeItem(jj.row()))
def EndResult(self):
print(os.getcwd())
f=open('./conerr.err','r')
lines=f.readlines()
j=0
for ii in lines:
if "error:"in ii:
self.Result.append("<font color=\"#FF0000\">%s</font> "%ii)
j=1
if j!=1:
self.Result.append("<font color=\"#FF0000\">finished!!!!!!!!</font> ")
self.barlabel.setText('已完成')
f.close()
os.remove('./conerr.err')
self.backend.working=False
self.statusBar.removeWidget(self.progressBar)
self.barlabel.setText('准备中')
os.chdir(self.ProjectName_2.text())
def initBar(self):
global NUM
self.progressBar = QProgressBar()
self.Result.clear()
self.barlabel.setText('正在编译：')
self.statusBar.addPermanentWidget(self.progressBar, stretch=2)
f = open('./Default/Default.objectlist','r')
lines = f.readlines()
f.close()
NUM=len(lines)
#self.progressBar.setGeometry(0,0,100,5)
self.progressBar.setRange(0,len(lines))
global VAL
VAL=0
def SetProgressBarVal(self,val):
#global VAL
n=VAL+val
self.progressBar.setValue(n)
def StartCompile(self,Hdir):
global cmd1
#cmd1 = r'''%s\bin\make -j8 all >console.log 2>&1''' % Hdir
cmd1 = r'''%s\bin\make -j8 all''' % Hdir
#cmd1 = self.startpath+'\Compile\compile.bat '+Hdir
# cmd1='cd ..'
# print(includepath)
# self.process =subprocess.Popen(self.startpath+ '\Compile\compile.bat ' + cmd1)
os.chdir(self.ProjectName_2.text() + '/Default')
#f=open('ccccc.txt','w')
#self.process = subprocess.Popen(cmd1)
self.backend1 = BackendTread1()
self.backend1.startcompile1.connect(self.PrintConsole)
self.backend1.endSig.connect(self.EndResult)
#time.sleep(3)
self.backend1.start()
self.backend = BackendTread()
self.backend.setvalue.connect(self.SetProgressBarVal)
#self.backend.endSig.connect(self.EndResult)
# time.sleep(3)
self.backend.start()
'''self.process = subprocess.call(cmd1)
self.process.wait()
f= open('console.log','r')
lines =f.readlines()
for ii in lines:
if 'error:'in ii:
self.Result.insertText(ii+'\n')'''
#os.chdir(self.ProjectName_2.text())
def PrintConsole(self,r):
#print(2222)
# None表示正在执行中
#r = self.process.stdout.readline()
#self.Result.append(r)
self.Result.append("<font color=\"#000000\">%s</font> "%r)
#self.backend.stopSig()
# 可修改输出方式，比如控制台、文件等
#print(self.process.poll())
# 重定向错误输出
def checkFLAG(self):
CCFLAG1 = self.GCCFLAGName.toPlainText()
#CCFLAG1 = CCFLAG1[0:len(CCFLAG1) - 1]
LINKFLAG1 = self.LINKFLAGName.toPlainText()
#LINKFLAG1 = LINKFLAG1[0:len(LINKFLAG1) - 1]
Hdir = self.HithTecDir.text()
DebugName1 = self.ProjectName.text()
inn=self.includeList.count()
inpath=[]
exn = self.excludeList.count()
expath = []
for i in range(inn):
inpath.append(self.includeList.item(i).text())
for i in range(exn):
expath.append(self.excludeList.item(i).text())
#print(CCFLAG1)
# POSTBUILD1 = pb.get()
# Hdir = Hdir[0:len(Hdir) - 1]
#if CCFLAG1 != self.CCFLAG or self.LINKFLAG != LINKFLAG1 or Hdir != self.HighTecDir or DebugName1 != self.DebugName or expath != self.excludefiles or inpath != self.includepath:
self.modifyFLAG()
'''for i in range(0,len(CCFALG)):
if CCFALG1[i]!=CCFALG[i]:
print(i)'''
cmd=self.startpath+'\Compile\python '+self.startpath+"\Compile/automake.py "+self.startpath
a=subprocess.call(cmd)
self.initBar()
#a.wait()
#cmd1 = Hdir + r'\bin\make'
#self.backend.update_date.connect(self.handleDisplay)
try:
self.StartCompile(Hdir)
except BaseException as e:
print(333333)
f=open('cons.log','w')
f.write(e.args)
f.close()
#def
def modifyFLAG(self):
# f=open('./TOOLS/Compile/automake_config.py','r',encoding='utf-8')
CCFLAGNOW = self.GCCFLAGName.toPlainText()
# CCFLAG1 = CCFLAG1[0:len(CCFLAG1) - 1]
LINKFLAGNOW = self.LINKFLAGName.toPlainText()
# LINKFLAG1 = LINKFLAG1[0:len(LINKFLAG1) - 1]
HighTecDirNOW = self.HithTecDir.text()
DebugNameNOW = self.ProjectName.text()
inn = self.includeList.count()
inpathNOW = []
exn = self.excludeList.count()
expathNOW = []
Ln = self.Llist.count()
LnNOW = []
ln = self.llist.count()
lnNOW = []
try:
for i in range(inn):
inpathNOW.append(self.includeList.item(i).text())
for i in range(exn):
expathNOW.append(self.excludeList.item(i).text())
f = open('./py.pyconfig', 'w', encoding='utf-8')
# lines=f.readlines()
tLink = re.split(' ',LINKFLAGNOW)
Linkchange=''
for iii in tLink:
if '-L' not in iii and '-l:' not in iii:
Linkchange+=iii+' '
for i in range(Ln):
p = re.split('{workspace}/',self.Llist.item(i).text())
#print(p)
if len(p)==1:
Linkchange+='''-L"'''+os.path.abspath(p[0])+'''" '''
else:
Linkchange += '''-L"''' + os.path.abspath(p[1]) + '''" '''
LnNOW.append(self.Llist.item(i).text())
for i in range(ln):
Linkchange+='-l'+self.llist.item(i).text()+' '
lnNOW.append(self.llist.item(i).text())
f.write('CCFLAG=' + CCFLAGNOW + "\n")
f.write('LINKFLAG=' + Linkchange + "\n")
f.write('HighTecDir=' + HighTecDirNOW + "\n")
f.write('DebugName=' + DebugNameNOW + "\n")
aa = "includepath="
for a in inpathNOW:
if a != "":
aa += a + ','
f.write(aa + '\n')
bb = "excludefiles="
for b in expathNOW:
if b != "":
bb += b + ','
f.write(bb + '\n')
cc = "LibraryPath="
for c in LnNOW:
if c != "":
cc += c + ','
dd = "libraties="
for d in lnNOW:
if d != "":
dd += d + ','
f.write(cc + '\n')
f.write(dd + '\n')
f.close()
self.LINKFLAGName.setText('')
self.LINKFLAGName.setText(Linkchange)
except:
f.close()
def CleanProject(self):
print('Cleanning project...... ')
if os.path.exists('./Default'):
shutil.rmtree('./Default')
if os.path.exists('./delivery'):
shutil.rmtree('./delivery')
QMessageBox.about(self, "消息", "Clean has finished!")
#tkinter.messagebox.showinfo('提示','Clean has finished!')
print('Clean has finished!')
def testaa(self):
print("1")
def CloseTools(self):
print(1)
def delPath(self,id):
if id==1:
self.includeList.clear()
if id == 2:
self.excludeList.clear()
def ShowDialog(self,id):
#self.di=QDialog()
#fileselect1 = fileselect.Ui_Dialog()
#fileselect1.setupUi(self.di)
self.idPath=id
self.di.exec()
# for path,dir,files in os.walk(os.getcwd()):
# for file in files:
# i=i+1
# if file.endswith('.h') and "TOOLS" not in path:
# if "TOOLS" not in path:
# a='child'+str(i)
# a=QTreeWidgetItem(child0)
def adds(self,paths, root):
if os.path.isdir(paths):
list = os.listdir(paths)
for i in list:
# j=0
# for path1 ,dirs,files in os.walk(os.path.join(paths,i)):
# for file in files:
# if file.endswith('.h') or file.endswith('.c'):
# j=1
if 'Default' not in i and '.' not in i and '_pycache_' not in os.path.join(paths,i) and os.path.join(
paths, i) in self.AllPath:
# self.adds(os.path.join(paths, i),root)
if os.path.isdir(os.path.join(paths, i)):
childs = QTreeWidgetItem(root)
childs.setText(0, i)
childs.setIcon(0, QIcon('./Compile/01.png'))
self.adds(os.path.join(paths, i), childs)
#注意：是对QDialog对象show()，并不是自己生成的Ui_Dialog对象 show()，开始没有写self.di，弹窗总是一闪而过，类的的函数加上self之后成功
#print(QFileDialog.getExistingDirectory(None, "请选择要添加的文件", os.getcwd()))
def GetPath(self):
if self.index==3:
pathlist = self.fileselect.treeWidget.selectedItems()
# pathlist = QTreeWidgetItemIterator(self.fileselect.treeWidget)
# print(pathlist.value().childCount())
tempinclude = []
for pathss in pathlist:
tpathss = pathss
tp = ""
while 1:
if tpathss.text(0)!=self.DebugName:
tp = tpathss.text(0) + tp
if tpathss.parent():
tpathss = tpathss.parent()
tp = '/' + tp
else:
break
if tp not in tempinclude and tp!="":
tempinclude.append(tp)
pathss.setSelected(False)
self.includeList.addItems(sorted(tempinclude))
elif self.idPath==2:
pathlist = self.fileselect.treeWidget.selectedItems()
#pathlist = QTreeWidgetItemIterator(self.fileselect.treeWidget)
#print(pathlist.value().childCount())
tempexclude=[]
for pathss in pathlist:
tpathss=pathss
tp=""
while 1:
if tpathss.text(0) != self.DebugName:
tp = tpathss.text(0)+tp
if tpathss.parent():
tpathss=tpathss.parent()
tp='/'+tp
else:
break
if tp not in tempexclude and tp!="":
tempexclude.append(tp)
self.excludeList.addItems(sorted(tempexclude))
elif self.index==2:
pathlist = self.fileselect.treeWidget.selectedItems()
# pathlist = QTreeWidgetItemIterator(self.fileselect.treeWidget)
# print(pathlist.value().childCount())
tempexclude = []
for pathss in pathlist:
tpathss = pathss
tp = ""
while 1:
if tpathss.text(0) != self.DebugName:
tp = tpathss.text(0) + tp
if tpathss.parent():
tpathss = tpathss.parent()
tp = '/' + tp
else:
break
if tp not in tempexclude and tp != "":
tempexclude.append("{workspace}"+tp)
pathss.setSelected(False)
self.Llist.addItems(tempexclude)
self.LWin.close()#如果是通过workspace选的直接关掉选择框
self.di.close()
'''for selectedPath in pathlist:
print(selectedPath.text(0))
print(pathlist)'''
#if pathlist.value().checkState(0) == Qt.Checked:
#n=self.fileselect.treeWidget.topLevelItemCount()
'''while pathlist.value():
if pathlist.value().checkState(0)==Qt.Checked:
print(pathlist.value.text(0))
break'''
def Cleartree(self):
pathlist = self.fileselect.treeWidget.selectedItems()
for pathss in pathlist:
pathss.setSelected(False)
self.di.close()
def AddExpath(self):
dir1,file1 = QFileDialog.getOpenFileNames (self,'选择过滤文件',os.getcwd(),"C FILES(*.c)")
#print(dir1,file1)
for ii in dir1:
if ii!='' :
dir2 = re.split(os.getcwd().replace('\\','/'),ii)[1]
self.excludeList.addItem(dir2)
#Library的具体操作
def AddLibraryPath(self):
txt=self.LWUI.LibraryP.text()
if txt:
self.Llist.addItem(txt)
self.LWin.close()
def AddLibraries(self):
txt = self.lWUI.libraries.text()
if txt:
self.llist.addItem(txt)
self.lWin.close()
def DelLibraryPath(self):
items1 = self.Llist.selectedIndexes()
if items1:
for jj in items1:
self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))
def DelLibraries(self):
items1 = self.llist.selectedIndexes()
if items1:
for jj in items1:
self.llist.removeItemWidget(self.llist.takeItem(jj.row()))
if __name__ == '__main__':
cmd1 = ""
NUM=0
VAL=0
app = QApplication(sys.argv)
app.setWindowIcon(QIcon('./Compile/mainwindowIcon.png'))
a=basePage()
a.ChooseProDir()
a.show()
#进入程序的主循环，并通过exit函数确保主循环安全结束
sys.exit(app.exec_())
|
[
"# -*- coding: utf-8 -*-\n\n#\tauthor:\tGuixinyu\n#\tcreate Time: 2019-10-17 18:15:39\n\nfrom PyQt5.QtWidgets import *\nimport sys\nimport first\nimport fileselect\nimport shutil\n\nfrom first import Ui_MainWindow\nimport AddLibraryPath\nimport Enterlibraries\nfrom PyQt5.QtCore import *\nfrom PyQt5.QtGui import *\nimport os\nimport re\nimport subprocess\nimport time\n#读取log的线程\nclass BackendTread(QThread):\n setvalue = pyqtSignal(int)\n def __init__(self, parent=None):\n super(BackendTread, self).__init__(parent)\n self.working=True\n def stopSig(self):\n self.working=False\n def run(self):\n #cmd1 = r'''%s\\bin\\make -j8 all >console.log 2>&1''' % Hdir\n '''os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)'''\n while VAL<NUM and self.working:\n num=0\n for path,dir,files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num=num+1\n self.setvalue.emit(num)\n\n\n#开编译的线程\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n #cmd1 = r'''%s\\bin\\make -j8 all >console.log 2>&1''' % Hdir\n '''os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)'''\n f=open('conerr.err','w+')\n\n self.process = subprocess.Popen(cmd1,stdout=subprocess.PIPE,stderr=f,bufsize=1)\n\n '''self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()'''\n self.sleep(3)\n\n while self.process.poll() is None:\n #print(1)\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause'in r:\n break\n os.system(r\"taskkill /f /t /im make.exe\")#因为在做post-build的时候，al2的工具需要按回车键才能结束进程，因为在这里强制性的使其结束\n self.endSig.emit()\n\n\nclass basePage(QMainWindow,Ui_MainWindow):\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n\n self.startpath=os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n #self.menuclean.triggered.connect(self.CleanProject)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n\n #self.quitApp.triggered.connect(QCoreApplication.instance().quit) #关闭程序的第一种方式\n self.actionexit.triggered.connect(qApp.quit)#关闭程序的第二种方式\n\n\n\n #添加工具栏:停止和退出\n self.tb1=self.addToolBar('tool')\n actionopen1=QAction(QIcon('./Compile/file.png'),\"打开工程\",self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop=QAction(QIcon('./Compile/stop.png'),\"停止\",self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit=QAction(QIcon('./Compile/exit.png'),\"退出\",self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n ##创建右键菜单\n #self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n #self.includeList.customContextMenuRequested.connect(self.showRightMenu)\n #self.includeList.customContextMenuRequested[QPoint].connect(self.remove)\n #单击一个选项\n #self.f=\"\"\n #self.includeList.clicked.connect(self.check)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu=QMenu(self)\n\n\n self.actionA=self.contextMenu.addAction(\"删除\")\n self.actionA.triggered.connect(self.remove)\n\n self.includeList.customContextMenuRequested.connect(lambda :self.showContextMenu(1))\n\n #self.contextMenu.triggered[QAction].connect(self.remove)\n #self.includeList.customContextMenuRequested[QPoint].connect(self.remove1)#[]里的代表传入的参数，自带的\n\n\n self.excludeList.customContextMenuRequested.connect(lambda :self.showContextMenu(2))\n #self.excludeList.customContextMenuRequested[QPoint].connect(self.remove2) # []里的代表传入的参数，自带的\n\n\n\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n\n\n self.addPath1.clicked.connect(lambda :self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n\n\n self.fileselect = fileselect.Ui_Dialog()\n\n #初始化page\n\n self.listWidget.currentRowChanged.connect(self.display)\n\n #Library的初始化\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n #self.add2.clidken.connect(self.ShowLWindow)\n #状态栏的部件\n self.barlabel = QLabel('barlabel')\n #self.initDialog()\n\n #self.fileselect.buttonBox\n #print(self.fileselect.treeWidget.currentItem().text(0))\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n\n if self.includepath:\n #a=1\n self.includeList.addItems(self.includepath)\n\n if self.excludefiles:\n #a=1\n self.excludeList.addItems(self.excludefiles)\n\n if self.LibraryPath:\n #a=1\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n #a=1\n self.llist.addItems(self.libraties)\n\n def display(self,index):\n self.index=index\n self.stackedWidget.setCurrentIndex(index)\n\n\n def initLibraryWindow(self):\n self.LWUI=AddLibraryPath.Ui_LSelect()\n self.LWin=QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)#设置模态对话框\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText(\"\")\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda: self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n\n\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText(\"\")\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n\n\n\n\n def KillProcess(self):\n #self.process.kill()\n\n #self.process.pid\n os.system(r\"taskkill /f /t /im make.exe\")\n\n self.Result.append('用户终止执行')\n\n\n def ChooseProDir(self):\n dir=QFileDialog.getExistingDirectory()\n dir=dir.replace('/','\\\\')\n self.ProjectName_2.setText(dir)\n\n if dir!='':\n os.chdir(dir)\n\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath, excludefiles, g_except_dir_list,\n g_except_file_list,LibraryPath,libraties) = ac.maininit()\n self.includepath=includepath\n self.excludefiles=excludefiles\n self.DebugName=DebugName\n self.CCFLAG=CCFLAG\n self.LINKFLAG=LINKFLAG\n self.HighTecDir=HighTecDir\n self.PROJECTDIR=dir\n self.LibraryPath=LibraryPath\n self.libraties=libraties\n #print(os.getcwd())\n self.AllPath=ac.FindAllPath(dir)\n #print(self.AllPath)\n self.initDialog()\n #对Dialog按钮的设置\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n\n #self.adds(dir,self.child0)\n a.initUI()\n\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n # self.di.show()\n\n\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n\n #展开所有节点\n fileselect1.treeWidget.expandAll()\n def showContextMenu(self,id):\n # 如果有选中项，则显示显示菜单\n\n #if id==1:\n items1 = self.includeList.selectedIndexes()\n\n #self.idRm=id\n #print(items)\n #elif id==2:\n items2 = self.excludeList.selectedIndexes()\n\n #self.idRm = id\n\n if items1 or items2:\n\n self.contextMenu.show()\n #self.f=QPoint\n self.contextMenu.exec_(QCursor.pos()) # 在鼠标位置显示\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index==3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n\n self.excludeList.removeItemWidget(self.excludeList.takeItem(jj.row()))\n\n\n\n\n def EndResult(self):\n print(os.getcwd())\n f=open('./conerr.err','r')\n lines=f.readlines()\n j=0\n for ii in lines:\n if \"error:\"in ii:\n self.Result.append(\"<font color=\\\"#FF0000\\\">%s</font> \"%ii)\n j=1\n if j!=1:\n self.Result.append(\"<font color=\\\"#FF0000\\\">finished!!!!!!!!</font> \")\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working=False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n\n\n\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist','r')\n lines = f.readlines()\n f.close()\n NUM=len(lines)\n #self.progressBar.setGeometry(0,0,100,5)\n self.progressBar.setRange(0,len(lines))\n global VAL\n VAL=0\n\n\n def SetProgressBarVal(self,val):\n #global VAL\n\n n=VAL+val\n self.progressBar.setValue(n)\n def StartCompile(self,Hdir):\n\n\n global cmd1\n #cmd1 = r'''%s\\bin\\make -j8 all >console.log 2>&1''' % Hdir\n cmd1 = r'''%s\\bin\\make -j8 all''' % Hdir\n #cmd1 = self.startpath+'\\Compile\\compile.bat '+Hdir\n # cmd1='cd ..'\n # print(includepath)\n # self.process =subprocess.Popen(self.startpath+ '\\Compile\\compile.bat ' + cmd1)\n\n os.chdir(self.ProjectName_2.text() + '/Default')\n #f=open('ccccc.txt','w')\n #self.process = subprocess.Popen(cmd1)\n\n\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n #time.sleep(3)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n #self.backend.endSig.connect(self.EndResult)\n # time.sleep(3)\n\n self.backend.start()\n\n\n\n '''self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\\n')'''\n #os.chdir(self.ProjectName_2.text())\n\n\n def PrintConsole(self,r):\n #print(2222)\n # None表示正在执行中\n #r = self.process.stdout.readline()\n #self.Result.append(r)\n self.Result.append(\"<font color=\\\"#000000\\\">%s</font> \"%r)\n #self.backend.stopSig()\n # 可修改输出方式，比如控制台、文件等\n\n #print(self.process.poll())\n\n # 重定向错误输出\n\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n #CCFLAG1 = CCFLAG1[0:len(CCFLAG1) - 1]\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n #LINKFLAG1 = LINKFLAG1[0:len(LINKFLAG1) - 1]\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n\n inn=self.includeList.count()\n inpath=[]\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n\n #print(CCFLAG1)\n # POSTBUILD1 = pb.get()\n # Hdir = Hdir[0:len(Hdir) - 1]\n #if CCFLAG1 != self.CCFLAG or self.LINKFLAG != LINKFLAG1 or Hdir != self.HighTecDir or DebugName1 != self.DebugName or expath != self.excludefiles or inpath != self.includepath:\n self.modifyFLAG()\n '''for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)'''\n cmd=self.startpath+'\\Compile\\python '+self.startpath+\"\\Compile/automake.py \"+self.startpath\n a=subprocess.call(cmd)\n self.initBar()\n #a.wait()\n #cmd1 = Hdir + r'\\bin\\make'\n\n #self.backend.update_date.connect(self.handleDisplay)\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f=open('cons.log','w')\n f.write(e.args)\n f.close()\n #def\n\n\n def modifyFLAG(self):\n # f=open('./TOOLS/Compile/automake_config.py','r',encoding='utf-8')\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n # CCFLAG1 = CCFLAG1[0:len(CCFLAG1) - 1]\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n # LINKFLAG1 = LINKFLAG1[0:len(LINKFLAG1) - 1]\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n # lines=f.readlines()\n tLink = re.split(' ',LINKFLAGNOW)\n Linkchange=''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange+=iii+' '\n\n for i in range(Ln):\n p = re.split('{workspace}/',self.Llist.item(i).text())\n #print(p)\n if len(p)==1:\n Linkchange+='''-L\"'''+os.path.abspath(p[0])+'''\" '''\n else:\n Linkchange += '''-L\"''' + os.path.abspath(p[1]) + '''\" '''\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange+='-l'+self.llist.item(i).text()+' '\n lnNOW.append(self.llist.item(i).text())\n\n\n f.write('CCFLAG=' + CCFLAGNOW + \"\\n\")\n f.write('LINKFLAG=' + Linkchange + \"\\n\")\n f.write('HighTecDir=' + HighTecDirNOW + \"\\n\")\n f.write('DebugName=' + DebugNameNOW + \"\\n\")\n aa = \"includepath=\"\n for a in inpathNOW:\n if a != \"\":\n aa += a + ','\n f.write(aa + '\\n')\n bb = \"excludefiles=\"\n for b in expathNOW:\n if b != \"\":\n bb += b + ','\n f.write(bb + '\\n')\n cc = \"LibraryPath=\"\n for c in LnNOW:\n if c != \"\":\n cc += c + ','\n dd = \"libraties=\"\n for d in lnNOW:\n if d != \"\":\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, \"消息\", \"Clean has finished!\")\n #tkinter.messagebox.showinfo('提示','Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print(\"1\")\n\n\n def CloseTools(self):\n print(1)\n def delPath(self,id):\n if id==1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n\n def ShowDialog(self,id):\n #self.di=QDialog()\n #fileselect1 = fileselect.Ui_Dialog()\n #fileselect1.setupUi(self.di)\n self.idPath=id\n self.di.exec()\n\n\n\n # for path,dir,files in os.walk(os.getcwd()):\n # for file in files:\n # i=i+1\n # if file.endswith('.h') and \"TOOLS\" not in path:\n # if \"TOOLS\" not in path:\n # a='child'+str(i)\n # a=QTreeWidgetItem(child0)\n\n def adds(self,paths, root):\n\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n # j=0\n # for path1 ,dirs,files in os.walk(os.path.join(paths,i)):\n # for file in files:\n # if file.endswith('.h') or file.endswith('.c'):\n # j=1\n\n if 'Default' not in i and '.' not in i and '_pycache_' not in os.path.join(paths,i) and os.path.join(\n paths, i) in self.AllPath:\n # self.adds(os.path.join(paths, i),root)\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n\n\n\n\n #注意：是对QDialog对象show()，并不是自己生成的Ui_Dialog对象 show()，开始没有写self.di，弹窗总是一闪而过，类的的函数加上self之后成功\n #print(QFileDialog.getExistingDirectory(None, \"请选择要添加的文件\", os.getcwd()))\n def GetPath(self):\n if self.index==3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n # pathlist = QTreeWidgetItemIterator(self.fileselect.treeWidget)\n # print(pathlist.value().childCount())\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = \"\"\n while 1:\n if tpathss.text(0)!=self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp!=\"\":\n tempinclude.append(tp)\n pathss.setSelected(False)\n\n\n self.includeList.addItems(sorted(tempinclude))\n\n\n\n elif self.idPath==2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n #pathlist = QTreeWidgetItemIterator(self.fileselect.treeWidget)\n #print(pathlist.value().childCount())\n tempexclude=[]\n for pathss in pathlist:\n tpathss=pathss\n tp=\"\"\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0)+tp\n if tpathss.parent():\n tpathss=tpathss.parent()\n tp='/'+tp\n else:\n break\n if tp not in tempexclude and tp!=\"\":\n tempexclude.append(tp)\n\n self.excludeList.addItems(sorted(tempexclude))\n\n\n elif self.index==2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n # pathlist = QTreeWidgetItemIterator(self.fileselect.treeWidget)\n # print(pathlist.value().childCount())\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = \"\"\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != \"\":\n tempexclude.append(\"{workspace}\"+tp)\n pathss.setSelected(False)\n\n\n self.Llist.addItems(tempexclude)\n self.LWin.close()#如果是通过workspace选的直接关掉选择框\n\n\n\n\n self.di.close()\n '''for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)'''\n #if pathlist.value().checkState(0) == Qt.Checked:\n\n\n #n=self.fileselect.treeWidget.topLevelItemCount()\n\n\n\n '''while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break'''\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1,file1 = QFileDialog.getOpenFileNames (self,'选择过滤文件',os.getcwd(),\"C FILES(*.c)\")\n #print(dir1,file1)\n for ii in dir1:\n if ii!='' :\n dir2 = re.split(os.getcwd().replace('\\\\','/'),ii)[1]\n self.excludeList.addItem(dir2)\n\n #Library的具体操作\n def AddLibraryPath(self):\n txt=self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\nif __name__ == '__main__':\n cmd1 = \"\"\n NUM=0\n VAL=0\n app = QApplication(sys.argv)\n app.setWindowIcon(QIcon('./Compile/mainwindowIcon.png'))\n\n a=basePage()\n\n a.ChooseProDir()\n\n\n\n a.show()\n\n #进入程序的主循环，并通过exit函数确保主循环安全结束\n sys.exit(app.exec_())",
"from PyQt5.QtWidgets import *\nimport sys\nimport first\nimport fileselect\nimport shutil\nfrom first import Ui_MainWindow\nimport AddLibraryPath\nimport Enterlibraries\nfrom PyQt5.QtCore import *\nfrom PyQt5.QtGui import *\nimport os\nimport re\nimport subprocess\nimport time\n\n\nclass BackendTread(QThread):\n setvalue = pyqtSignal(int)\n\n def __init__(self, parent=None):\n super(BackendTread, self).__init__(parent)\n self.working = True\n\n def stopSig(self):\n self.working = False\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n while VAL < NUM and self.working:\n num = 0\n for path, dir, files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num = num + 1\n self.setvalue.emit(num)\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\nif __name__ == '__main__':\n cmd1 = ''\n NUM = 0\n VAL = 0\n app = QApplication(sys.argv)\n app.setWindowIcon(QIcon('./Compile/mainwindowIcon.png'))\n a = basePage()\n a.ChooseProDir()\n a.show()\n sys.exit(app.exec_())\n",
"<import token>\n\n\nclass BackendTread(QThread):\n setvalue = pyqtSignal(int)\n\n def __init__(self, parent=None):\n super(BackendTread, self).__init__(parent)\n self.working = True\n\n def stopSig(self):\n self.working = False\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n while VAL < NUM and self.working:\n num = 0\n for path, dir, files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num = num + 1\n self.setvalue.emit(num)\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\nif __name__ == '__main__':\n cmd1 = ''\n NUM = 0\n VAL = 0\n app = QApplication(sys.argv)\n app.setWindowIcon(QIcon('./Compile/mainwindowIcon.png'))\n a = basePage()\n a.ChooseProDir()\n a.show()\n sys.exit(app.exec_())\n",
"<import token>\n\n\nclass BackendTread(QThread):\n setvalue = pyqtSignal(int)\n\n def __init__(self, parent=None):\n super(BackendTread, self).__init__(parent)\n self.working = True\n\n def stopSig(self):\n self.working = False\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n while VAL < NUM and self.working:\n num = 0\n for path, dir, files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num = num + 1\n self.setvalue.emit(num)\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n\n\nclass BackendTread(QThread):\n <assignment token>\n\n def __init__(self, parent=None):\n super(BackendTread, self).__init__(parent)\n self.working = True\n\n def stopSig(self):\n self.working = False\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n while VAL < NUM and self.working:\n num = 0\n for path, dir, files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num = num + 1\n self.setvalue.emit(num)\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n\n\nclass BackendTread(QThread):\n <assignment token>\n\n def __init__(self, parent=None):\n super(BackendTread, self).__init__(parent)\n self.working = True\n <function token>\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n while VAL < NUM and self.working:\n num = 0\n for path, dir, files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num = num + 1\n self.setvalue.emit(num)\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n\n\nclass BackendTread(QThread):\n <assignment token>\n <function token>\n <function token>\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n while VAL < NUM and self.working:\n num = 0\n for path, dir, files in os.walk(os.getcwd()):\n for file in files:\n if file.endswith('.o'):\n num = num + 1\n self.setvalue.emit(num)\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n\n\nclass BackendTread(QThread):\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BackendTread1(QThread):\n startcompile1 = pyqtSignal(str)\n endSig = pyqtSignal()\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BackendTread1(QThread):\n <assignment token>\n <assignment token>\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n\n def run(self):\n \"\"\"os.chdir(self.ProjectName_2.text() + '/Default')\n self.process = subprocess.call(cmd1)\"\"\"\n f = open('conerr.err', 'w+')\n self.process = subprocess.Popen(cmd1, stdout=subprocess.PIPE,\n stderr=f, bufsize=1)\n \"\"\"self.bt=BackendTread()\n self.bt.startcompile.connect(self.PrintConsole)\n self.bt.start()\"\"\"\n self.sleep(3)\n while self.process.poll() is None:\n r = self.process.stdout.readline().decode('gbk')\n if r:\n self.startcompile1.emit(r)\n if 'tool>pause' in r:\n break\n os.system('taskkill /f /t /im make.exe')\n self.endSig.emit()\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BackendTread1(QThread):\n <assignment token>\n <assignment token>\n\n def __init__(self, parent=None):\n super(BackendTread1, self).__init__(parent)\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n <function token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BackendTread1(QThread):\n <assignment token>\n <assignment token>\n <function token>\n\n def startCom(self):\n self.process = subprocess.Popen(cmd1)\n <function token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BackendTread1(QThread):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n\n def display(self, index):\n self.index = index\n self.stackedWidget.setCurrentIndex(index)\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n\n def AddExpath(self):\n dir1, file1 = QFileDialog.getOpenFileNames(self, '选择过滤文件', os.\n getcwd(), 'C FILES(*.c)')\n for ii in dir1:\n if ii != '':\n dir2 = re.split(os.getcwd().replace('\\\\', '/'), ii)[1]\n self.excludeList.addItem(dir2)\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n\n def initUI(self):\n self.includeList.clear()\n self.excludeList.clear()\n self.Llist.clear()\n self.llist.clear()\n self.ProjectName.setText(self.DebugName)\n self.HithTecDir.setText(self.HighTecDir)\n self.GCCFLAGName.setText(self.CCFLAG)\n self.LINKFLAGName.setText(self.LINKFLAG)\n self.ProjectName_2.setText(self.PROJECTDIR)\n self.ProjectName_2.setEnabled(False)\n self.barlabel.setText('准备中')\n self.statusBar.addPermanentWidget(self.barlabel)\n self.Result.clear()\n if self.includepath:\n self.includeList.addItems(self.includepath)\n if self.excludefiles:\n self.excludeList.addItems(self.excludefiles)\n if self.LibraryPath:\n self.Llist.addItems(self.LibraryPath)\n if self.libraties:\n self.llist.addItems(self.libraties)\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n\n def KillProcess(self):\n os.system('taskkill /f /t /im make.exe')\n self.Result.append('用户终止执行')\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n\n def ShowDialog(self, id):\n self.idPath = id\n self.di.exec()\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n\n def modifyFLAG(self):\n CCFLAGNOW = self.GCCFLAGName.toPlainText()\n LINKFLAGNOW = self.LINKFLAGName.toPlainText()\n HighTecDirNOW = self.HithTecDir.text()\n DebugNameNOW = self.ProjectName.text()\n inn = self.includeList.count()\n inpathNOW = []\n exn = self.excludeList.count()\n expathNOW = []\n Ln = self.Llist.count()\n LnNOW = []\n ln = self.llist.count()\n lnNOW = []\n try:\n for i in range(inn):\n inpathNOW.append(self.includeList.item(i).text())\n for i in range(exn):\n expathNOW.append(self.excludeList.item(i).text())\n f = open('./py.pyconfig', 'w', encoding='utf-8')\n tLink = re.split(' ', LINKFLAGNOW)\n Linkchange = ''\n for iii in tLink:\n if '-L' not in iii and '-l:' not in iii:\n Linkchange += iii + ' '\n for i in range(Ln):\n p = re.split('{workspace}/', self.Llist.item(i).text())\n if len(p) == 1:\n Linkchange += '-L\"' + os.path.abspath(p[0]) + '\" '\n else:\n Linkchange += '-L\"' + os.path.abspath(p[1]) + '\" '\n LnNOW.append(self.Llist.item(i).text())\n for i in range(ln):\n Linkchange += '-l' + self.llist.item(i).text() + ' '\n lnNOW.append(self.llist.item(i).text())\n f.write('CCFLAG=' + CCFLAGNOW + '\\n')\n f.write('LINKFLAG=' + Linkchange + '\\n')\n f.write('HighTecDir=' + HighTecDirNOW + '\\n')\n f.write('DebugName=' + DebugNameNOW + '\\n')\n aa = 'includepath='\n for a in inpathNOW:\n if a != '':\n aa += a + ','\n f.write(aa + '\\n')\n bb = 'excludefiles='\n for b in expathNOW:\n if b != '':\n bb += b + ','\n f.write(bb + '\\n')\n cc = 'LibraryPath='\n for c in LnNOW:\n if c != '':\n cc += c + ','\n dd = 'libraties='\n for d in lnNOW:\n if d != '':\n dd += d + ','\n f.write(cc + '\\n')\n f.write(dd + '\\n')\n f.close()\n self.LINKFLAGName.setText('')\n self.LINKFLAGName.setText(Linkchange)\n except:\n f.close()\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n\n def DelLibraries(self):\n items1 = self.llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.llist.removeItemWidget(self.llist.takeItem(jj.row()))\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n\n def initLibraryWindow(self):\n self.LWUI = AddLibraryPath.Ui_LSelect()\n self.LWin = QWidget()\n self.LWin.setWindowModality(Qt.ApplicationModal)\n self.LWUI.setupUi(self.LWin)\n self.LWUI.LibraryP.setText('')\n self.add1.clicked.connect(self.LWin.show)\n self.LWUI.L_Cancel.clicked.connect(self.LWin.close)\n self.LWUI.L_Workspace.clicked.connect(lambda : self.ShowDialog(1))\n self.LWUI.L_OK.clicked.connect(self.AddLibraryPath)\n self.del1.clicked.connect(self.DelLibraryPath)\n self.lWUI = Enterlibraries.Ui_LSelect()\n self.lWin = QWidget()\n self.lWin.setWindowModality(Qt.ApplicationModal)\n self.lWUI.setupUi(self.lWin)\n self.LWUI.LibraryP.setText('')\n self.add2.clicked.connect(self.lWin.show)\n self.lWUI.l_OK.clicked.connect(self.AddLibraries)\n self.lWUI.l_Cancel.clicked.connect(self.lWin.close)\n self.del2.clicked.connect(self.DelLibraries)\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n\n def DelLibraryPath(self):\n items1 = self.Llist.selectedIndexes()\n if items1:\n for jj in items1:\n self.Llist.removeItemWidget(self.Llist.takeItem(jj.row()))\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n\n def initBar(self):\n global NUM\n self.progressBar = QProgressBar()\n self.Result.clear()\n self.barlabel.setText('正在编译：')\n self.statusBar.addPermanentWidget(self.progressBar, stretch=2)\n f = open('./Default/Default.objectlist', 'r')\n lines = f.readlines()\n f.close()\n NUM = len(lines)\n self.progressBar.setRange(0, len(lines))\n global VAL\n VAL = 0\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n\n def remove(self):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if self.index == 3:\n if items1:\n for jj in items1:\n self.includeList.removeItemWidget(self.includeList.\n takeItem(jj.row()))\n if self.index == 4:\n if items2:\n for jj in items2:\n self.excludeList.removeItemWidget(self.excludeList.\n takeItem(jj.row()))\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n\n def testaa(self):\n print('1')\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n\n def StartCompile(self, Hdir):\n global cmd1\n cmd1 = '%s\\\\bin\\\\make -j8 all' % Hdir\n os.chdir(self.ProjectName_2.text() + '/Default')\n self.backend1 = BackendTread1()\n self.backend1.startcompile1.connect(self.PrintConsole)\n self.backend1.endSig.connect(self.EndResult)\n self.backend1.start()\n self.backend = BackendTread()\n self.backend.setvalue.connect(self.SetProgressBarVal)\n self.backend.start()\n \"\"\"self.process = subprocess.call(cmd1)\n self.process.wait()\n f= open('console.log','r')\n lines =f.readlines()\n for ii in lines:\n if 'error:'in ii:\n self.Result.insertText(ii+'\n')\"\"\"\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n\n def CloseTools(self):\n print(1)\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n\n def ChooseProDir(self):\n dir = QFileDialog.getExistingDirectory()\n dir = dir.replace('/', '\\\\')\n self.ProjectName_2.setText(dir)\n if dir != '':\n os.chdir(dir)\n import automake_config as ac\n (DebugName, HighTecDir, CCFLAG, LINKFLAG, includepath,\n excludefiles, g_except_dir_list, g_except_file_list,\n LibraryPath, libraties) = ac.maininit()\n self.includepath = includepath\n self.excludefiles = excludefiles\n self.DebugName = DebugName\n self.CCFLAG = CCFLAG\n self.LINKFLAG = LINKFLAG\n self.HighTecDir = HighTecDir\n self.PROJECTDIR = dir\n self.LibraryPath = LibraryPath\n self.libraties = libraties\n self.AllPath = ac.FindAllPath(dir)\n self.initDialog()\n self.fileselect.buttonBox.accepted.connect(self.GetPath)\n self.fileselect.treeWidget.setSelectionMode(3)\n self.fileselect.buttonBox.rejected.connect(self.Cleartree)\n a.initUI()\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n\n def AddLibraryPath(self):\n txt = self.LWUI.LibraryP.text()\n if txt:\n self.Llist.addItem(txt)\n self.LWin.close()\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n\n def __init__(self):\n super(basePage, self).__init__()\n self.setupUi(self)\n self.startpath = os.getcwd()\n self.actionbuild.triggered.connect(self.checkFLAG)\n self.actionclean.triggered.connect(self.CleanProject)\n self.actionopen_project.triggered.connect(self.ChooseProDir)\n self.actionsave_project.triggered.connect(self.modifyFLAG)\n self.actionexit.triggered.connect(qApp.quit)\n self.tb1 = self.addToolBar('tool')\n actionopen1 = QAction(QIcon('./Compile/file.png'), '打开工程', self)\n self.tb1.addAction(actionopen1)\n actionopen1.triggered.connect(self.ChooseProDir)\n self.tb1.addSeparator()\n actionstop = QAction(QIcon('./Compile/stop.png'), '停止', self)\n self.tb1.addAction(actionstop)\n actionstop.triggered.connect(self.KillProcess)\n self.tb1.addSeparator()\n actionExit = QAction(QIcon('./Compile/exit.png'), '退出', self)\n self.tb1.addAction(actionExit)\n actionExit.triggered.connect(qApp.quit)\n self.includeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.excludeList.setContextMenuPolicy(Qt.CustomContextMenu)\n self.contextMenu = QMenu(self)\n self.actionA = self.contextMenu.addAction('删除')\n self.actionA.triggered.connect(self.remove)\n self.includeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(1))\n self.excludeList.customContextMenuRequested.connect(lambda : self.\n showContextMenu(2))\n self.delPath1.clicked.connect(self.includeList.clear)\n self.delPath2.clicked.connect(self.excludeList.clear)\n self.addPath1.clicked.connect(lambda : self.ShowDialog(1))\n self.addPath2.clicked.connect(self.AddExpath)\n self.fileselect = fileselect.Ui_Dialog()\n self.listWidget.currentRowChanged.connect(self.display)\n self.initLibraryWindow()\n self.Llist.setSelectionMode(3)\n self.llist.setSelectionMode(3)\n self.barlabel = QLabel('barlabel')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n <function token>\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n\n def EndResult(self):\n print(os.getcwd())\n f = open('./conerr.err', 'r')\n lines = f.readlines()\n j = 0\n for ii in lines:\n if 'error:' in ii:\n self.Result.append('<font color=\"#FF0000\">%s</font> ' % ii)\n j = 1\n if j != 1:\n self.Result.append('<font color=\"#FF0000\">finished!!!!!!!!</font> '\n )\n self.barlabel.setText('已完成')\n f.close()\n os.remove('./conerr.err')\n self.backend.working = False\n self.statusBar.removeWidget(self.progressBar)\n self.barlabel.setText('准备中')\n os.chdir(self.ProjectName_2.text())\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n <function token>\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n\n def Cleartree(self):\n pathlist = self.fileselect.treeWidget.selectedItems()\n for pathss in pathlist:\n pathss.setSelected(False)\n self.di.close()\n <function token>\n <function token>\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n\n def checkFLAG(self):\n CCFLAG1 = self.GCCFLAGName.toPlainText()\n LINKFLAG1 = self.LINKFLAGName.toPlainText()\n Hdir = self.HithTecDir.text()\n DebugName1 = self.ProjectName.text()\n inn = self.includeList.count()\n inpath = []\n exn = self.excludeList.count()\n expath = []\n for i in range(inn):\n inpath.append(self.includeList.item(i).text())\n for i in range(exn):\n expath.append(self.excludeList.item(i).text())\n self.modifyFLAG()\n \"\"\"for i in range(0,len(CCFALG)):\n if CCFALG1[i]!=CCFALG[i]:\n print(i)\"\"\"\n cmd = (self.startpath + '\\\\Compile\\\\python ' + self.startpath +\n '\\\\Compile/automake.py ' + self.startpath)\n a = subprocess.call(cmd)\n self.initBar()\n try:\n self.StartCompile(Hdir)\n except BaseException as e:\n print(333333)\n f = open('cons.log', 'w')\n f.write(e.args)\n f.close()\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n <function token>\n <function token>\n <function token>\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n <function token>\n <function token>\n <function token>\n\n def AddLibraries(self):\n txt = self.lWUI.libraries.text()\n if txt:\n self.llist.addItem(txt)\n self.lWin.close()\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n\n def GetPath(self):\n if self.index == 3:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempinclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempinclude and tp != '':\n tempinclude.append(tp)\n pathss.setSelected(False)\n self.includeList.addItems(sorted(tempinclude))\n elif self.idPath == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append(tp)\n self.excludeList.addItems(sorted(tempexclude))\n elif self.index == 2:\n pathlist = self.fileselect.treeWidget.selectedItems()\n tempexclude = []\n for pathss in pathlist:\n tpathss = pathss\n tp = ''\n while 1:\n if tpathss.text(0) != self.DebugName:\n tp = tpathss.text(0) + tp\n if tpathss.parent():\n tpathss = tpathss.parent()\n tp = '/' + tp\n else:\n break\n if tp not in tempexclude and tp != '':\n tempexclude.append('{workspace}' + tp)\n pathss.setSelected(False)\n self.Llist.addItems(tempexclude)\n self.LWin.close()\n self.di.close()\n \"\"\"for selectedPath in pathlist:\n \n print(selectedPath.text(0))\n print(pathlist)\"\"\"\n \"\"\"while pathlist.value():\n if pathlist.value().checkState(0)==Qt.Checked:\n print(pathlist.value.text(0))\n break\"\"\"\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n\n def adds(self, paths, root):\n if os.path.isdir(paths):\n list = os.listdir(paths)\n for i in list:\n if ('Default' not in i and '.' not in i and '_pycache_' not in\n os.path.join(paths, i) and os.path.join(paths, i) in\n self.AllPath):\n if os.path.isdir(os.path.join(paths, i)):\n childs = QTreeWidgetItem(root)\n childs.setText(0, i)\n childs.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.path.join(paths, i), childs)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n\n def SetProgressBarVal(self, val):\n n = VAL + val\n self.progressBar.setValue(n)\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def PrintConsole(self, r):\n self.Result.append('<font color=\"#000000\">%s</font> ' % r)\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n\n def delPath(self, id):\n if id == 1:\n self.includeList.clear()\n if id == 2:\n self.excludeList.clear()\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def initDialog(self):\n self.di = QDialog()\n fileselect1 = self.fileselect\n fileselect1.setupUi(self.di)\n child0 = QTreeWidgetItem(fileselect1.treeWidget)\n child0.setText(0, self.DebugName)\n child0.setIcon(0, QIcon('./Compile/01.png'))\n self.adds(os.getcwd(), child0)\n child1 = QTreeWidgetItem(child0)\n child1.setText(0, 'TOOLS')\n child1.setIcon(0, QIcon('./Compile/01.png'))\n fileselect1.treeWidget.expandAll()\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def CleanProject(self):\n print('Cleanning project...... ')\n if os.path.exists('./Default'):\n shutil.rmtree('./Default')\n if os.path.exists('./delivery'):\n shutil.rmtree('./delivery')\n QMessageBox.about(self, '消息', 'Clean has finished!')\n print('Clean has finished!')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def showContextMenu(self, id):\n items1 = self.includeList.selectedIndexes()\n items2 = self.excludeList.selectedIndexes()\n if items1 or items2:\n self.contextMenu.show()\n self.contextMenu.exec_(QCursor.pos())\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass basePage(QMainWindow, Ui_MainWindow):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<code token>\n"
] | false |
98,707 |
04f13e8b33acb098928e8d1ee19836185730a48c
|
from typing import List
from lib.utils import hex_to_bin
from lib.utils import hash_sha256
from lib.transaction import Transaction, genesis_transaction
from dataclasses import dataclass
@dataclass
class Block:
index: int
bhash: str
prev_bhash: str
timestamp: int
data: List[Transaction]
difficulty: int
nonce: int
def valid(self, prev: 'Block') -> bool:
""" Checks block's validity """
return self.prev_bhash == prev.bhash and validate_hash_difficulty(
self.bhash, self.difficulty) and hash_block_content(
self.index, self.prev_bhash, self.timestamp, self.data,
self.difficulty, self.nonce) == self.bhash
def hash_block_content(index: int, prev_bhash: str, timestamp: int,
data: List[Transaction], difficulty: int, nonce: int):
""" Hashes content of block. """
return hash_sha256([index, prev_bhash, timestamp, data, difficulty, nonce])
def validate_hash_difficulty(bhash: str, difficulty: int) -> bool:
""" Checks if hash has expected difficulty. """
b = hex_to_bin(bhash)
print(b[:4], type(b))
return hex_to_bin(bhash).startswith('0' * difficulty)
def build_block(index: int, prev_bhash: str, timestamp: int,
data: List[Transaction], difficulty: int):
""" Mines single block. """
nonce: int = 0
print("hi")
while True:
bhash = hash_block_content(index, prev_bhash, timestamp, data,
difficulty, nonce)
if validate_hash_difficulty(bhash, difficulty):
return Block(index, bhash, prev_bhash, timestamp, data, difficulty,
nonce)
nonce += 1
def verify_block_hash(block: Block):
""" Verifies Block\'s Hash. """
return hash_block_content(block.index, block.prev_bhash, block.timestamp,
block.data, block.difficulty,
block.nonce) == block.bhash
genesis_block = Block(
0, '7300c100475b78a3840eccd0b5cb6b187a38fde950a8555915a84697029b26a8', '',
1627141460, [genesis_transaction], 0, 0)
|
[
"from typing import List\nfrom lib.utils import hex_to_bin\nfrom lib.utils import hash_sha256\nfrom lib.transaction import Transaction, genesis_transaction\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') -> bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(\n self.bhash, self.difficulty) and hash_block_content(\n self.index, self.prev_bhash, self.timestamp, self.data,\n self.difficulty, self.nonce) == self.bhash\n\n\ndef hash_block_content(index: int, prev_bhash: str, timestamp: int,\n data: List[Transaction], difficulty: int, nonce: int):\n \"\"\" Hashes content of block. \"\"\"\n return hash_sha256([index, prev_bhash, timestamp, data, difficulty, nonce])\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) -> bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\ndef build_block(index: int, prev_bhash: str, timestamp: int,\n data: List[Transaction], difficulty: int):\n \"\"\" Mines single block. \"\"\"\n nonce: int = 0\n print(\"hi\")\n while True:\n bhash = hash_block_content(index, prev_bhash, timestamp, data,\n difficulty, nonce)\n if validate_hash_difficulty(bhash, difficulty):\n return Block(index, bhash, prev_bhash, timestamp, data, difficulty,\n nonce)\n nonce += 1\n\n\ndef verify_block_hash(block: Block):\n \"\"\" Verifies Block\\'s Hash. \"\"\"\n return hash_block_content(block.index, block.prev_bhash, block.timestamp,\n block.data, block.difficulty,\n block.nonce) == block.bhash\n\n\ngenesis_block = Block(\n 0, '7300c100475b78a3840eccd0b5cb6b187a38fde950a8555915a84697029b26a8', '',\n 1627141460, [genesis_transaction], 0, 0)\n",
"from typing import List\nfrom lib.utils import hex_to_bin\nfrom lib.utils import hash_sha256\nfrom lib.transaction import Transaction, genesis_transaction\nfrom dataclasses import dataclass\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\ndef hash_block_content(index: int, prev_bhash: str, timestamp: int, data:\n List[Transaction], difficulty: int, nonce: int):\n \"\"\" Hashes content of block. \"\"\"\n return hash_sha256([index, prev_bhash, timestamp, data, difficulty, nonce])\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) ->bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\ndef build_block(index: int, prev_bhash: str, timestamp: int, data: List[\n Transaction], difficulty: int):\n \"\"\" Mines single block. \"\"\"\n nonce: int = 0\n print('hi')\n while True:\n bhash = hash_block_content(index, prev_bhash, timestamp, data,\n difficulty, nonce)\n if validate_hash_difficulty(bhash, difficulty):\n return Block(index, bhash, prev_bhash, timestamp, data,\n difficulty, nonce)\n nonce += 1\n\n\ndef verify_block_hash(block: Block):\n \"\"\" Verifies Block's Hash. \"\"\"\n return hash_block_content(block.index, block.prev_bhash, block.\n timestamp, block.data, block.difficulty, block.nonce) == block.bhash\n\n\ngenesis_block = Block(0,\n '7300c100475b78a3840eccd0b5cb6b187a38fde950a8555915a84697029b26a8', '',\n 1627141460, [genesis_transaction], 0, 0)\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\ndef hash_block_content(index: int, prev_bhash: str, timestamp: int, data:\n List[Transaction], difficulty: int, nonce: int):\n \"\"\" Hashes content of block. \"\"\"\n return hash_sha256([index, prev_bhash, timestamp, data, difficulty, nonce])\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) ->bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\ndef build_block(index: int, prev_bhash: str, timestamp: int, data: List[\n Transaction], difficulty: int):\n \"\"\" Mines single block. \"\"\"\n nonce: int = 0\n print('hi')\n while True:\n bhash = hash_block_content(index, prev_bhash, timestamp, data,\n difficulty, nonce)\n if validate_hash_difficulty(bhash, difficulty):\n return Block(index, bhash, prev_bhash, timestamp, data,\n difficulty, nonce)\n nonce += 1\n\n\ndef verify_block_hash(block: Block):\n \"\"\" Verifies Block's Hash. \"\"\"\n return hash_block_content(block.index, block.prev_bhash, block.\n timestamp, block.data, block.difficulty, block.nonce) == block.bhash\n\n\ngenesis_block = Block(0,\n '7300c100475b78a3840eccd0b5cb6b187a38fde950a8555915a84697029b26a8', '',\n 1627141460, [genesis_transaction], 0, 0)\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\ndef hash_block_content(index: int, prev_bhash: str, timestamp: int, data:\n List[Transaction], difficulty: int, nonce: int):\n \"\"\" Hashes content of block. \"\"\"\n return hash_sha256([index, prev_bhash, timestamp, data, difficulty, nonce])\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) ->bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\ndef build_block(index: int, prev_bhash: str, timestamp: int, data: List[\n Transaction], difficulty: int):\n \"\"\" Mines single block. \"\"\"\n nonce: int = 0\n print('hi')\n while True:\n bhash = hash_block_content(index, prev_bhash, timestamp, data,\n difficulty, nonce)\n if validate_hash_difficulty(bhash, difficulty):\n return Block(index, bhash, prev_bhash, timestamp, data,\n difficulty, nonce)\n nonce += 1\n\n\ndef verify_block_hash(block: Block):\n \"\"\" Verifies Block's Hash. \"\"\"\n return hash_block_content(block.index, block.prev_bhash, block.\n timestamp, block.data, block.difficulty, block.nonce) == block.bhash\n\n\n<assignment token>\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\n<function token>\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) ->bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\ndef build_block(index: int, prev_bhash: str, timestamp: int, data: List[\n Transaction], difficulty: int):\n \"\"\" Mines single block. \"\"\"\n nonce: int = 0\n print('hi')\n while True:\n bhash = hash_block_content(index, prev_bhash, timestamp, data,\n difficulty, nonce)\n if validate_hash_difficulty(bhash, difficulty):\n return Block(index, bhash, prev_bhash, timestamp, data,\n difficulty, nonce)\n nonce += 1\n\n\ndef verify_block_hash(block: Block):\n \"\"\" Verifies Block's Hash. \"\"\"\n return hash_block_content(block.index, block.prev_bhash, block.\n timestamp, block.data, block.difficulty, block.nonce) == block.bhash\n\n\n<assignment token>\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\n<function token>\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) ->bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\ndef build_block(index: int, prev_bhash: str, timestamp: int, data: List[\n Transaction], difficulty: int):\n \"\"\" Mines single block. \"\"\"\n nonce: int = 0\n print('hi')\n while True:\n bhash = hash_block_content(index, prev_bhash, timestamp, data,\n difficulty, nonce)\n if validate_hash_difficulty(bhash, difficulty):\n return Block(index, bhash, prev_bhash, timestamp, data,\n difficulty, nonce)\n nonce += 1\n\n\n<function token>\n<assignment token>\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\n<function token>\n\n\ndef validate_hash_difficulty(bhash: str, difficulty: int) ->bool:\n \"\"\" Checks if hash has expected difficulty. \"\"\"\n b = hex_to_bin(bhash)\n print(b[:4], type(b))\n return hex_to_bin(bhash).startswith('0' * difficulty)\n\n\n<function token>\n<function token>\n<assignment token>\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n\n def valid(self, prev: 'Block') ->bool:\n \"\"\" Checks block's validity \"\"\"\n return self.prev_bhash == prev.bhash and validate_hash_difficulty(self\n .bhash, self.difficulty) and hash_block_content(self.index,\n self.prev_bhash, self.timestamp, self.data, self.difficulty,\n self.nonce) == self.bhash\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<assignment token>\n",
"<import token>\n\n\n@dataclass\nclass Block:\n index: int\n bhash: str\n prev_bhash: str\n timestamp: int\n data: List[Transaction]\n difficulty: int\n nonce: int\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<assignment token>\n",
"<import token>\n<class token>\n<function token>\n<function token>\n<function token>\n<function token>\n<assignment token>\n"
] | false |
98,708 |
6c7d423709b64154473f24f9cb65a987877d64cc
|
from bottle import *
@route("/formy")
@post("/formy")
@view("fm", data = "")
def formy():
if request.POST.get("submit"):
val = request.POST.get("val")
return dict(data = val)
return dict()
@route("/names-ages")
@view("external", ttl = "Names & Ages")
def names_ages():
na = [('Lisa', 30), ("John", 21), ("Wanda", None)]
return dict(na_list = na)
## return template("external", name = name)
@route("/<uid:re:\d{2}>/<name>")
def info(uid, name):
return template("hello {{uid}}, {{name}}", uid = uid, name = name)
@route("/")
def hello():
return "<h1>hello</h1> there!"
debug(True)
## by default, host = localhost, port = 8080
## like to input it anyways because it blocks
## auto-incrementing.
run(reloader=True, host="localhost", port=8080)
|
[
"from bottle import *\n\n@route(\"/formy\")\n@post(\"/formy\")\n@view(\"fm\", data = \"\")\ndef formy():\n if request.POST.get(\"submit\"):\n val = request.POST.get(\"val\")\n return dict(data = val)\n return dict()\n\n@route(\"/names-ages\")\n@view(\"external\", ttl = \"Names & Ages\")\ndef names_ages():\n na = [('Lisa', 30), (\"John\", 21), (\"Wanda\", None)]\n return dict(na_list = na)\n\n## return template(\"external\", name = name)\n\n@route(\"/<uid:re:\\d{2}>/<name>\")\ndef info(uid, name):\n return template(\"hello {{uid}}, {{name}}\", uid = uid, name = name)\n\n@route(\"/\")\ndef hello():\n return \"<h1>hello</h1> there!\"\n\ndebug(True)\n## by default, host = localhost, port = 8080\n## like to input it anyways because it blocks\n## auto-incrementing.\nrun(reloader=True, host=\"localhost\", port=8080)\n",
"from bottle import *\n\n\n@route('/formy')\n@post('/formy')\n@view('fm', data='')\ndef formy():\n if request.POST.get('submit'):\n val = request.POST.get('val')\n return dict(data=val)\n return dict()\n\n\n@route('/names-ages')\n@view('external', ttl='Names & Ages')\ndef names_ages():\n na = [('Lisa', 30), ('John', 21), ('Wanda', None)]\n return dict(na_list=na)\n\n\n@route('/<uid:re:\\\\d{2}>/<name>')\ndef info(uid, name):\n return template('hello {{uid}}, {{name}}', uid=uid, name=name)\n\n\n@route('/')\ndef hello():\n return '<h1>hello</h1> there!'\n\n\ndebug(True)\nrun(reloader=True, host='localhost', port=8080)\n",
"<import token>\n\n\n@route('/formy')\n@post('/formy')\n@view('fm', data='')\ndef formy():\n if request.POST.get('submit'):\n val = request.POST.get('val')\n return dict(data=val)\n return dict()\n\n\n@route('/names-ages')\n@view('external', ttl='Names & Ages')\ndef names_ages():\n na = [('Lisa', 30), ('John', 21), ('Wanda', None)]\n return dict(na_list=na)\n\n\n@route('/<uid:re:\\\\d{2}>/<name>')\ndef info(uid, name):\n return template('hello {{uid}}, {{name}}', uid=uid, name=name)\n\n\n@route('/')\ndef hello():\n return '<h1>hello</h1> there!'\n\n\ndebug(True)\nrun(reloader=True, host='localhost', port=8080)\n",
"<import token>\n\n\n@route('/formy')\n@post('/formy')\n@view('fm', data='')\ndef formy():\n if request.POST.get('submit'):\n val = request.POST.get('val')\n return dict(data=val)\n return dict()\n\n\n@route('/names-ages')\n@view('external', ttl='Names & Ages')\ndef names_ages():\n na = [('Lisa', 30), ('John', 21), ('Wanda', None)]\n return dict(na_list=na)\n\n\n@route('/<uid:re:\\\\d{2}>/<name>')\ndef info(uid, name):\n return template('hello {{uid}}, {{name}}', uid=uid, name=name)\n\n\n@route('/')\ndef hello():\n return '<h1>hello</h1> there!'\n\n\n<code token>\n",
"<import token>\n\n\n@route('/formy')\n@post('/formy')\n@view('fm', data='')\ndef formy():\n if request.POST.get('submit'):\n val = request.POST.get('val')\n return dict(data=val)\n return dict()\n\n\n@route('/names-ages')\n@view('external', ttl='Names & Ages')\ndef names_ages():\n na = [('Lisa', 30), ('John', 21), ('Wanda', None)]\n return dict(na_list=na)\n\n\n<function token>\n\n\n@route('/')\ndef hello():\n return '<h1>hello</h1> there!'\n\n\n<code token>\n",
"<import token>\n\n\n@route('/formy')\n@post('/formy')\n@view('fm', data='')\ndef formy():\n if request.POST.get('submit'):\n val = request.POST.get('val')\n return dict(data=val)\n return dict()\n\n\n<function token>\n<function token>\n\n\n@route('/')\ndef hello():\n return '<h1>hello</h1> there!'\n\n\n<code token>\n",
"<import token>\n\n\n@route('/formy')\n@post('/formy')\n@view('fm', data='')\ndef formy():\n if request.POST.get('submit'):\n val = request.POST.get('val')\n return dict(data=val)\n return dict()\n\n\n<function token>\n<function token>\n<function token>\n<code token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,709 |
492f2f07da59d820f790c745eb222619654400a9
|
from urllib.request import urlopen
import urllib.parse, urllib.error
import xml.etree.ElementTree as ET
import ssl
# Ignore SSL certificate errors
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
url = input('Enter Location ')
uh = urlopen(url, context=ctx)
data=uh.read()
print('Retrieved', len(data), 'characters')
data.decode()
tree=ET.fromstring(data)
###REPLACE CODE BELOW WITH DESIRED CODEBLOCK###
comments=tree.findall('comments/comment')
print('count:', len(comments))
sum=0
for comment in comments:
sum=sum+int(comment.find('count').text)
print(sum)
|
[
"from urllib.request import urlopen\nimport urllib.parse, urllib.error\nimport xml.etree.ElementTree as ET\nimport ssl\n\n# Ignore SSL certificate errors\nctx = ssl.create_default_context()\nctx.check_hostname = False\nctx.verify_mode = ssl.CERT_NONE\n\nurl = input('Enter Location ')\nuh = urlopen(url, context=ctx)\ndata=uh.read()\n\nprint('Retrieved', len(data), 'characters')\n\ndata.decode()\ntree=ET.fromstring(data)\n\n###REPLACE CODE BELOW WITH DESIRED CODEBLOCK###\n\ncomments=tree.findall('comments/comment')\nprint('count:', len(comments))\n\nsum=0\n\nfor comment in comments:\n sum=sum+int(comment.find('count').text)\n\nprint(sum)",
"from urllib.request import urlopen\nimport urllib.parse, urllib.error\nimport xml.etree.ElementTree as ET\nimport ssl\nctx = ssl.create_default_context()\nctx.check_hostname = False\nctx.verify_mode = ssl.CERT_NONE\nurl = input('Enter Location ')\nuh = urlopen(url, context=ctx)\ndata = uh.read()\nprint('Retrieved', len(data), 'characters')\ndata.decode()\ntree = ET.fromstring(data)\ncomments = tree.findall('comments/comment')\nprint('count:', len(comments))\nsum = 0\nfor comment in comments:\n sum = sum + int(comment.find('count').text)\nprint(sum)\n",
"<import token>\nctx = ssl.create_default_context()\nctx.check_hostname = False\nctx.verify_mode = ssl.CERT_NONE\nurl = input('Enter Location ')\nuh = urlopen(url, context=ctx)\ndata = uh.read()\nprint('Retrieved', len(data), 'characters')\ndata.decode()\ntree = ET.fromstring(data)\ncomments = tree.findall('comments/comment')\nprint('count:', len(comments))\nsum = 0\nfor comment in comments:\n sum = sum + int(comment.find('count').text)\nprint(sum)\n",
"<import token>\n<assignment token>\nprint('Retrieved', len(data), 'characters')\ndata.decode()\n<assignment token>\nprint('count:', len(comments))\n<assignment token>\nfor comment in comments:\n sum = sum + int(comment.find('count').text)\nprint(sum)\n",
"<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,710 |
c8962372ade639d6c3ffd1e83c14bcae05c60aef
|
from datetime import datetime as d
from datetime import timedelta
import re
records = re.sub(r"^\s|\s$", "", open("day4.txt").read()).split("\n")
shiftTimes = {
d.strptime(re.sub(r"(^\s)|\[|(\].+)|(\s$)", "", rec), "%Y-%m-%d %H:%M"):
int(re.sub(r"\[.+\]|\D", "", rec))
for rec in records if "Guard" in rec
}
actionTimes = {
d.strptime(re.sub(r"(^\s)|\[|(\].+)|(\s$)", "", rec), "%Y-%m-%d %H:%M"):
re.sub(r"(\[[^a-z]+)|(\]\s+)", "", rec)
for rec in records if "Guard" not in rec
}
guardSleep = {}
guardMinutes = {}
guardInd = 0
topGuard = 0
sortedShifts = shiftTimes.keys()
sortedShifts.sort()
sortedActions = actionTimes.keys()
sortedActions.sort()
for timeInd in range(0, len(sortedActions), 2):
while guardInd < len(sortedShifts) - 1\
and sortedActions[timeInd] >= sortedShifts[guardInd + 1]:
guardInd += 1
guard = shiftTimes[sortedShifts[guardInd]]
if guard not in guardMinutes:
guardMinutes[guard] = {}
if guard not in guardSleep:
guardSleep[guard] = 0
for minute in range(sortedActions[timeInd].minute,
sortedActions[timeInd + 1].minute + 1):
if minute not in guardMinutes[guard]:
guardMinutes[guard][minute] = 0
guardMinutes[guard][minute] += 1
guardSleep[guard] += 1
if topGuard in guardSleep and guardSleep[guard] < guardSleep[topGuard]:
continue
topGuard = guard
topMinute = 0
for minute in range(0, 59):
if minute in guardMinutes[topGuard] and guardMinutes[topGuard][
minute] > guardMinutes[topGuard][topMinute]:
topMinute = minute
print "Guard " + str(topGuard) + " slept " + str(
guardSleep[topGuard]) + " minutes and was asleep during minute " + str(
topMinute) + " the most (" + str(
guardMinutes[topGuard][topMinute]) + " days)"
|
[
"from datetime import datetime as d\nfrom datetime import timedelta\nimport re\n\nrecords = re.sub(r\"^\\s|\\s$\", \"\", open(\"day4.txt\").read()).split(\"\\n\")\nshiftTimes = {\n d.strptime(re.sub(r\"(^\\s)|\\[|(\\].+)|(\\s$)\", \"\", rec), \"%Y-%m-%d %H:%M\"):\n int(re.sub(r\"\\[.+\\]|\\D\", \"\", rec))\n for rec in records if \"Guard\" in rec\n}\nactionTimes = {\n d.strptime(re.sub(r\"(^\\s)|\\[|(\\].+)|(\\s$)\", \"\", rec), \"%Y-%m-%d %H:%M\"):\n re.sub(r\"(\\[[^a-z]+)|(\\]\\s+)\", \"\", rec)\n for rec in records if \"Guard\" not in rec\n}\n\nguardSleep = {}\nguardMinutes = {}\nguardInd = 0\ntopGuard = 0\nsortedShifts = shiftTimes.keys()\nsortedShifts.sort()\nsortedActions = actionTimes.keys()\nsortedActions.sort()\n\nfor timeInd in range(0, len(sortedActions), 2):\n while guardInd < len(sortedShifts) - 1\\\n and sortedActions[timeInd] >= sortedShifts[guardInd + 1]:\n guardInd += 1\n\n guard = shiftTimes[sortedShifts[guardInd]]\n\n if guard not in guardMinutes:\n guardMinutes[guard] = {}\n\n if guard not in guardSleep:\n guardSleep[guard] = 0\n\n for minute in range(sortedActions[timeInd].minute,\n sortedActions[timeInd + 1].minute + 1):\n if minute not in guardMinutes[guard]:\n guardMinutes[guard][minute] = 0\n\n guardMinutes[guard][minute] += 1\n guardSleep[guard] += 1\n\n if topGuard in guardSleep and guardSleep[guard] < guardSleep[topGuard]:\n continue\n\n topGuard = guard\n\ntopMinute = 0\nfor minute in range(0, 59):\n if minute in guardMinutes[topGuard] and guardMinutes[topGuard][\n minute] > guardMinutes[topGuard][topMinute]:\n topMinute = minute\n\nprint \"Guard \" + str(topGuard) + \" slept \" + str(\n guardSleep[topGuard]) + \" minutes and was asleep during minute \" + str(\n topMinute) + \" the most (\" + str(\n guardMinutes[topGuard][topMinute]) + \" days)\"\n"
] | true |
98,711 |
cd2b4402b53c37b934c19abe46ee69a7ac4bc9d3
|
grade = {"A": 5, "B": 5, "C": 4, "D": 3, "E": 3, "FX": 2, "F": 1}
def formatted_grades(students):
count = 0
new_list = []
for i, j in students.items():
for x, z in grade.items():
if j == x:
count += 1
spisok = '{:>4}|{:<10}|{:^5}|{:^5}'.format (count, i, x, z)
new_list.append(spisok)
return new_list
students = {"Nick": "A", "Olga": "B", "Mike": "FX", "Anna": "C"}
print(formatted_grades(students))
|
[
"grade = {\"A\": 5, \"B\": 5, \"C\": 4, \"D\": 3, \"E\": 3, \"FX\": 2, \"F\": 1}\r\n\r\ndef formatted_grades(students):\r\n count = 0\r\n new_list = []\r\n for i, j in students.items():\r\n for x, z in grade.items():\r\n if j == x:\r\n count += 1\r\n spisok = '{:>4}|{:<10}|{:^5}|{:^5}'.format (count, i, x, z)\r\n new_list.append(spisok)\r\n return new_list\r\n \r\nstudents = {\"Nick\": \"A\", \"Olga\": \"B\", \"Mike\": \"FX\", \"Anna\": \"C\"}\r\n\r\nprint(formatted_grades(students))\r\n",
"grade = {'A': 5, 'B': 5, 'C': 4, 'D': 3, 'E': 3, 'FX': 2, 'F': 1}\n\n\ndef formatted_grades(students):\n count = 0\n new_list = []\n for i, j in students.items():\n for x, z in grade.items():\n if j == x:\n count += 1\n spisok = '{:>4}|{:<10}|{:^5}|{:^5}'.format(count, i, x, z)\n new_list.append(spisok)\n return new_list\n\n\nstudents = {'Nick': 'A', 'Olga': 'B', 'Mike': 'FX', 'Anna': 'C'}\nprint(formatted_grades(students))\n",
"<assignment token>\n\n\ndef formatted_grades(students):\n count = 0\n new_list = []\n for i, j in students.items():\n for x, z in grade.items():\n if j == x:\n count += 1\n spisok = '{:>4}|{:<10}|{:^5}|{:^5}'.format(count, i, x, z)\n new_list.append(spisok)\n return new_list\n\n\n<assignment token>\nprint(formatted_grades(students))\n",
"<assignment token>\n\n\ndef formatted_grades(students):\n count = 0\n new_list = []\n for i, j in students.items():\n for x, z in grade.items():\n if j == x:\n count += 1\n spisok = '{:>4}|{:<10}|{:^5}|{:^5}'.format(count, i, x, z)\n new_list.append(spisok)\n return new_list\n\n\n<assignment token>\n<code token>\n",
"<assignment token>\n<function token>\n<assignment token>\n<code token>\n"
] | false |
98,712 |
9e630a87c27a0300a0fbfbc9c53e69fdd8eca9f9
|
#encoding:utf-8
import sys
sys.path.insert(0, "/home/liuhongyu/intelligent")
sys.path.insert(1, "/home/liuhongyu/anaconda2/lib/python2.7/site-packages")
from intelligent.platform.predict.predict_server import PredictServer
#PredictServer().predict(
# projectname = '美赞臣基础预测服务',
# brands = '夕阳#移动',
# input = 'test.dat.xlsx',
# output = 'out.xlsx'
#)
PredictServer().predict(
projectname = '通信行业识别(仅有策略)',
input = 'yidong8-14.xlsx',
output = 'out1.xlsx'
)
print PredictServer().getServers()
|
[
"#encoding:utf-8\nimport sys\nsys.path.insert(0, \"/home/liuhongyu/intelligent\")\nsys.path.insert(1, \"/home/liuhongyu/anaconda2/lib/python2.7/site-packages\")\nfrom intelligent.platform.predict.predict_server import PredictServer\n\n#PredictServer().predict(\n# projectname = '美赞臣基础预测服务', \n# brands = '夕阳#移动',\n# input = 'test.dat.xlsx', \n# output = 'out.xlsx'\n#)\n\nPredictServer().predict(\n projectname = '通信行业识别(仅有策略)', \n input = 'yidong8-14.xlsx',\n output = 'out1.xlsx'\n)\n\nprint PredictServer().getServers()\n"
] | true |
98,713 |
555c13b358722a1a3563a72f07eb2e93348754ed
|
#!/usr/bin/python # This is server.py file
import socket # Import socket module
import threading # Import threads
import Queue # Queue to pass data safely between threads
class RobotNetworkService(threading.Thread):
_recvQueue = 0
_sendQueue = 0
def __init__(self, recv_queue, send_queue):
super(RobotNetworkService, self).__init__()
self._recvQueue = recv_queue
self._sendQueue = send_queue
self.alive = threading.Event()
self.alive.set()
# Routine for handling messages from the client.
def receive_thread(self, conn):
print 'Receive thread started'
rec_msg = ""
# Client disconnect is handled here, not sure how I feel about it.
while (self.alive.isSet() and rec_msg.lower() != "disconnect" and rec_msg.lower() != "quit"):
# TODO: Add a timeout!
rec_msg = conn.recv(1024)
# recv returns an empty string when the client disconnects
if rec_msg:
print 'Server received: ' + rec_msg
self._recvQueue.put(rec_msg)
else:
# Client is gone
print 'Client disconnected, exiting receive_thread'
self._recvQueue.put("Client disconnected: broken pipe")
return
# Client responsibly told us it was disconnecting
if (rec_msg.lower() == "quit"):
print 'Client issued quit, exiting receive_thread'
elif (rec_msg.lower() == "disconnect"):
print 'Client issued disconnect, exiting receive_thread'
else:
print 'Exiting receive_thread on join request'
# Routine for accepting a connection and starting the server.
def send_thread(self):
print 'Send thread started'
s = socket.socket() # Create a socket object
s.settimeout(1) # Default timeout of 1 second
# Commenting out the next line to remove restrictions on who can connect.
#host = socket.gethostname() # Get local machine name
port = 12345 # Reserve a port for your service.
try:
#s.bind((host, port)) # Bind to the port
s.bind(('', port)) # Bind to the port
s.listen(1) # Now wait for client connection.
except socket.error as msg:
s.close()
print 'Server socket error, exiting'
return
while (self.alive.isSet()):
# Holds message received from the remote
msg = ""
print 'Server is waiting for connection!'
# Try making a connection. If we timeout waiting check the
# while loop exit condition and keep trying.
# A timeout here prevents the server thread from blocking
# even when the program is trying to exit.
try:
c, addr = s.accept() # Establish connection with client.
except socket.timeout as msg:
print 'Server timeout on listen'
continue
print 'Server received connection from', addr
c.send('Robot server ready! Starting receive thread')
# Kick off the thread that will receive messages from the client.
receiveThread = threading.Thread(target = self.receive_thread, args = [c])
receiveThread.start()
# This loop will check for messages to transmit and send them.
# If the connection is lost, we are told to stop, or the receive
# thread quits, then break out of the loop.
# TODO: 'c' check may not be useful here
while (c and self.alive.isSet() and receiveThread.isAlive()):
# See if there are messages on the queue, block for a while
# and bail out if nothing is received. This allows us to check
# the stop condition on occasion.
try:
msg = self._sendQueue.get(True, 1)
except Queue.Empty:
# Not a bad thing, just need to check the exit conditions.
pass
else:
c.send(msg)
if (receiveThread.isAlive() == False):
print 'Server disconnected on receive thread death'
elif (self.alive.isSet() == False):
print 'Server exiting on join request'
elif (not c):
print 'Server disconnected on broken pipe'
# Left the loop
c.close() # Close the connection
receiveThread.join()
# Received a quit
print 'Server closed (Asked to quit)'
def run(self):
self.send_thread()
def join(self, timeout = None):
self.alive.clear()
threading.Thread.join(self, timeout)
|
[
"#!/usr/bin/python # This is server.py file\n\nimport socket # Import socket module\nimport threading # Import threads\nimport Queue # Queue to pass data safely between threads\n\nclass RobotNetworkService(threading.Thread):\n _recvQueue = 0\n _sendQueue = 0\n\n def __init__(self, recv_queue, send_queue):\n super(RobotNetworkService, self).__init__()\n self._recvQueue = recv_queue\n self._sendQueue = send_queue\n self.alive = threading.Event()\n self.alive.set()\n \n # Routine for handling messages from the client.\n def receive_thread(self, conn):\n print 'Receive thread started'\n rec_msg = \"\"\n\n # Client disconnect is handled here, not sure how I feel about it.\n while (self.alive.isSet() and rec_msg.lower() != \"disconnect\" and rec_msg.lower() != \"quit\"):\n # TODO: Add a timeout! \n rec_msg = conn.recv(1024)\n\n # recv returns an empty string when the client disconnects\n if rec_msg:\n print 'Server received: ' + rec_msg\n self._recvQueue.put(rec_msg)\n else:\n # Client is gone\n print 'Client disconnected, exiting receive_thread'\n self._recvQueue.put(\"Client disconnected: broken pipe\")\n return\n\n # Client responsibly told us it was disconnecting\n if (rec_msg.lower() == \"quit\"):\n print 'Client issued quit, exiting receive_thread'\n elif (rec_msg.lower() == \"disconnect\"):\n print 'Client issued disconnect, exiting receive_thread'\n else:\n print 'Exiting receive_thread on join request'\n\n # Routine for accepting a connection and starting the server.\n def send_thread(self):\n print 'Send thread started'\n\n s = socket.socket() # Create a socket object\n s.settimeout(1) # Default timeout of 1 second\n # Commenting out the next line to remove restrictions on who can connect.\n #host = socket.gethostname() # Get local machine name\n port = 12345 # Reserve a port for your service.\n try:\n #s.bind((host, port)) # Bind to the port\n s.bind(('', port)) # Bind to the port\n s.listen(1) # Now wait for client connection.\n except socket.error as msg:\n s.close()\n print 'Server socket error, exiting'\n return\n\n while (self.alive.isSet()):\n \n # Holds message received from the remote\n msg = \"\"\n\n print 'Server is waiting for connection!'\n\n # Try making a connection. If we timeout waiting check the\n # while loop exit condition and keep trying.\n # A timeout here prevents the server thread from blocking\n # even when the program is trying to exit.\n try:\n c, addr = s.accept() # Establish connection with client.\n except socket.timeout as msg:\n print 'Server timeout on listen'\n continue\n\n print 'Server received connection from', addr\n c.send('Robot server ready! Starting receive thread')\n\n # Kick off the thread that will receive messages from the client.\n receiveThread = threading.Thread(target = self.receive_thread, args = [c])\n receiveThread.start()\n\n # This loop will check for messages to transmit and send them.\n # If the connection is lost, we are told to stop, or the receive\n # thread quits, then break out of the loop.\n # TODO: 'c' check may not be useful here\n while (c and self.alive.isSet() and receiveThread.isAlive()):\n # See if there are messages on the queue, block for a while\n # and bail out if nothing is received. This allows us to check\n # the stop condition on occasion.\n try:\n msg = self._sendQueue.get(True, 1)\n except Queue.Empty:\n # Not a bad thing, just need to check the exit conditions.\n pass\n else:\n c.send(msg)\n\n if (receiveThread.isAlive() == False):\n print 'Server disconnected on receive thread death'\n elif (self.alive.isSet() == False):\n print 'Server exiting on join request'\n elif (not c):\n print 'Server disconnected on broken pipe'\n\n # Left the loop\n c.close() # Close the connection\n receiveThread.join()\n\n # Received a quit\n print 'Server closed (Asked to quit)'\n\n def run(self):\n self.send_thread()\n\n def join(self, timeout = None):\n self.alive.clear()\n threading.Thread.join(self, timeout)\n\n"
] | true |
98,714 |
fac9cf792a85085270d3251b4c0dca8e1d8c706b
|
import matlab.engine
def matlab_start():
eng=matlab.engine.start_matlab("-desktop")
l=['r',67]
eng.workspace['y'] = l
print(eng.workspace['y'])
print(type(eng.workspace['y']))
|
[
"import matlab.engine\ndef matlab_start():\n eng=matlab.engine.start_matlab(\"-desktop\")\nl=['r',67]\neng.workspace['y'] = l\nprint(eng.workspace['y'])\nprint(type(eng.workspace['y']))\n",
"import matlab.engine\n\n\ndef matlab_start():\n eng = matlab.engine.start_matlab('-desktop')\n\n\nl = ['r', 67]\neng.workspace['y'] = l\nprint(eng.workspace['y'])\nprint(type(eng.workspace['y']))\n",
"<import token>\n\n\ndef matlab_start():\n eng = matlab.engine.start_matlab('-desktop')\n\n\nl = ['r', 67]\neng.workspace['y'] = l\nprint(eng.workspace['y'])\nprint(type(eng.workspace['y']))\n",
"<import token>\n\n\ndef matlab_start():\n eng = matlab.engine.start_matlab('-desktop')\n\n\n<assignment token>\nprint(eng.workspace['y'])\nprint(type(eng.workspace['y']))\n",
"<import token>\n\n\ndef matlab_start():\n eng = matlab.engine.start_matlab('-desktop')\n\n\n<assignment token>\n<code token>\n",
"<import token>\n<function token>\n<assignment token>\n<code token>\n"
] | false |
98,715 |
f08daa5ac964d6c83ccc9603294c4d6275f4a874
|
#!/usr/bin/env pipenv run python
import re
import itertools
import collections
from dataclasses import dataclass
from get_input import get_input, line_parser
class Point:
def __init__(self, x, y):
self.x = x
self.y = y
def __add__(self, other):
if not isinstance(other, type(self)):
return NotImplemented
return Point(self.x + other.x, self.y + other.y)
def __repr__(self):
return f"Point(x={self.x}, y={self.y})"
def __hash__(self):
return hash((self.x, self.y))
def __eq__(self, other):
if not isinstance(other, type(self)):
return NotImplemented
return self.x == other.x and self.y == other.y
class BoardItem:
def __init__(self, board=None, pos=None):
self.board = board
self.pos = pos
def __str__(self):
return self.__class__.char
class Wall(BoardItem):
char = '#'
class Space(BoardItem):
char = '.'
class Unit(BoardItem):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._hp = type(self).cls_hp
self.ap = type(self).cls_ap
@property
def hp(self):
return self._hp
@hp.setter
def hp(self, other):
self._hp = other
if self._hp <= 0:
self.board[self.pos] = Space()
if self.on_death:
raise self.on_death(repr(self))
def is_enemy(self, other):
return isinstance(other, Unit) and not isinstance(other, type(self)) and other.hp > 0
def find_defender(self):
defender = None
for diff in [self.board[self.pos + diff] for diff in self.board.READ_ORDER]:
if self.is_enemy(diff):
if not defender or diff.hp < defender.hp:
defender = diff
return defender
@classmethod
def make_unit_class(cls, char, attack=3, hp=200, on_death=None):
unit_type = "Elf" if char == "E" else "Goblin"
class Cls(cls):
def __repr__(self):
return f"{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})"
Cls.char = char
Cls.cls_ap = attack
Cls.cls_hp = hp
Cls.on_death = on_death
return Cls
def get_targets(self):
targets = set()
enemies = [u for u in self.board.units if self.is_enemy(u)]
if enemies == []:
raise Board.NoEnemies
for unit in enemies:
for diff in self.board.READ_ORDER:
if isinstance(self.board[unit.pos + diff], Space) or \
self.pos == unit.pos + diff:
targets.add(unit.pos + diff)
return targets
def attack(self, defender):
if defender is not None:
defender.hp -= self.ap
class Board:
READ_ORDER = (Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1))
def __init__(self, power=3):
self._rows = []
self.round = 0
self.power = power
class NoEnemies(Exception):
pass
@classmethod
def make_board(cls, lines, mapping, power=3):
board = cls(power)
for y, line in enumerate(lines.splitlines()):
for x, char in enumerate(list(line)):
board[Point(x, y)] = mapping[char]()
board.unit_order = board.units
board.attacker = board.unit_order.pop(0)
return board
def __getitem__(self, pos):
if isinstance(pos, Point):
return self._rows[pos.y][pos.x]
return NotImplemented
def __setitem__(self, point, value):
if not isinstance(point, Point):
return NotImplemented
elif not isinstance(value, BoardItem):
return NotImplemented
while point.y >= len(self._rows):
self._rows.append([])
while point.x >= len(self._rows[point.y]):
self._rows[point.y].append(None)
self._rows[point.y][point.x] = value
value.board = self
value.pos = point
def __iter__(self):
return iter(self._rows)
@property
def units(self):
return [u for row in self for u in row if isinstance(u, Unit)]
def find_move(self, attacker, targets):
if attacker.pos in targets:
return None
queue = [(0, attacker.pos, None)]
step_map = {}
while queue:
steps, pos, prev = queue.pop(0)
if pos in step_map or not (isinstance(self[pos], Space) or prev is None):
continue
step_map[pos] = (steps, prev)
for diff in self.READ_ORDER:
queue.append((steps + 1, pos + diff, pos))
smallest, first = None, None
for square in [u for row in self for u in row]:
steps, pos = step_map.get(square.pos, (smallest, first))
if square.pos in targets and (smallest is None or smallest > steps):
smallest, first = steps, square.pos
if smallest is None:
return attacker.pos
prev = first
while smallest is not None and smallest > 1:
first = prev
smallest, prev = step_map[first]
return first or attacker.pos
def __repr__(self):
representation = [f"Round {self.round}/{self.power}"]
representation.extend(''.join(str(u) for u in row) for row in self)
representation.extend(repr(u) for u in self.units)
return '\n'.join(representation)
def play_round(self):
for attacker in self.units:
if attacker.hp <= 0:
continue
targets = attacker.get_targets()
move = self.find_move(attacker, targets)
self[attacker.pos], self[move] = self[move], self[attacker.pos]
defender = attacker.find_defender()
attacker.attack(defender)
self.round += 1
def part1(lines):
"""Solution to part 1"""
board = Board.make_board(lines, {
'E': Unit.make_unit_class('E'),
'G': Unit.make_unit_class('G'),
'#': Wall,
'.': Space})
while True:
try:
board.play_round()
except Board.NoEnemies:
break
return sum(u.hp for u in board.units) * board.round
def part2(lines):
"""Solution to part 2"""
goblin_class = Unit.make_unit_class('G')
class DeadElf(Exception):
pass
for elf_ap in itertools.count(4):
elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)
board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class, '#': Wall, '.': Space}, power=elf_ap)
try:
while True:
board.play_round()
except DeadElf:
continue
except Board.NoEnemies:
return sum(u.hp for u in board.units) * board.round
sample_boards = [("""#######
#.G...#
#...EG#
#.#.#G#
#..G#E#
#.....#
#######""", 27730, 4988),
("""#######
#G..#E#
#E#E.E#
#G.##.#
#...#E#
#...E.#
#######""", 36334, None),
("""#######
#E..EG#
#.#G.E#
#E.##E#
#G..#.#
#..E#.#
#######""", 39514, 31284),
("""#######
#E.G#.#
#.#G..#
#G.#.G#
#G..#.#
#...E.#
#######""", 27755, 3478),
("""#######
#.E...#
#.#..G#
#.###.#
#E#G#G#
#...#G#
#######""", 28944, 6474),
("""#########
#G......#
#.E.#...#
#..##..G#
#...##..#
#...#...#
#.G...G.#
#.....G.#
#########""", 18740, 1140),
]
if __name__ == '__main__':
for board, part1_score, part2_score in sample_boards:
assert part1_score == part1(board)
assert part2_score is None or part2_score == part2(board)
board = get_input(day=15, year=2018)
# Issues occure during round 90, (x: 10, y: 15)
# Moves right when it should move down (Why?)
print("Part 1: {}".format(part1(board)))
print("Part 2: {}".format(part2(board)))
# Not 47678 46140
# Is 46784
|
[
"#!/usr/bin/env pipenv run python\nimport re\nimport itertools\nimport collections\nfrom dataclasses import dataclass\n\nfrom get_input import get_input, line_parser\n\n\nclass Point:\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f\"Point(x={self.x}, y={self.y})\"\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\nclass BoardItem:\n def __init__(self, board=None, pos=None):\n self.board = board \n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n \nclass Wall(BoardItem):\n char = '#'\n\nclass Space(BoardItem):\n char = '.'\n\nclass Unit(BoardItem):\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = \"Elf\" if char == \"E\" else \"Goblin\"\n class Cls(cls):\n def __repr__(self):\n return f\"{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})\"\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls \n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space) or \\\n self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = (Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1))\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is None): \n continue \n step_map[pos] = (steps, prev)\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps):\n smallest, first = steps, square.pos \n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f\"Round {self.round}/{self.power}\"]\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\ndef part1(lines):\n \"\"\"Solution to part 1\"\"\"\n board = Board.make_board(lines, {\n 'E': Unit.make_unit_class('E'),\n 'G': Unit.make_unit_class('G'),\n '#': Wall,\n '.': Space})\n while True:\n try:\n board.play_round()\n except Board.NoEnemies:\n break\n return sum(u.hp for u in board.units) * board.round\n\ndef part2(lines):\n \"\"\"Solution to part 2\"\"\"\n goblin_class = Unit.make_unit_class('G')\n class DeadElf(Exception):\n pass\n for elf_ap in itertools.count(4):\n elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)\n board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class, '#': Wall, '.': Space}, power=elf_ap)\n try:\n while True:\n board.play_round()\n except DeadElf:\n continue\n except Board.NoEnemies:\n return sum(u.hp for u in board.units) * board.round\n\nsample_boards = [(\"\"\"#######\n#.G...#\n#...EG#\n#.#.#G#\n#..G#E#\n#.....#\n#######\"\"\", 27730, 4988),\n(\"\"\"#######\n#G..#E#\n#E#E.E#\n#G.##.#\n#...#E#\n#...E.#\n#######\"\"\", 36334, None),\n(\"\"\"#######\n#E..EG#\n#.#G.E#\n#E.##E#\n#G..#.#\n#..E#.#\n#######\"\"\", 39514, 31284),\n(\"\"\"#######\n#E.G#.#\n#.#G..#\n#G.#.G#\n#G..#.#\n#...E.#\n#######\"\"\", 27755, 3478),\n(\"\"\"#######\n#.E...#\n#.#..G#\n#.###.#\n#E#G#G#\n#...#G#\n#######\"\"\", 28944, 6474),\n(\"\"\"#########\n#G......#\n#.E.#...#\n#..##..G#\n#...##..#\n#...#...#\n#.G...G.#\n#.....G.#\n#########\"\"\", 18740, 1140),\n]\n\nif __name__ == '__main__':\n for board, part1_score, part2_score in sample_boards:\n assert part1_score == part1(board)\n assert part2_score is None or part2_score == part2(board)\n board = get_input(day=15, year=2018)\n # Issues occure during round 90, (x: 10, y: 15)\n # Moves right when it should move down (Why?)\n print(\"Part 1: {}\".format(part1(board)))\n print(\"Part 2: {}\".format(part2(board)))\n # Not 47678 46140\n # Is 46784\n",
"import re\nimport itertools\nimport collections\nfrom dataclasses import dataclass\nfrom get_input import get_input, line_parser\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\ndef part1(lines):\n \"\"\"Solution to part 1\"\"\"\n board = Board.make_board(lines, {'E': Unit.make_unit_class('E'), 'G':\n Unit.make_unit_class('G'), '#': Wall, '.': Space})\n while True:\n try:\n board.play_round()\n except Board.NoEnemies:\n break\n return sum(u.hp for u in board.units) * board.round\n\n\ndef part2(lines):\n \"\"\"Solution to part 2\"\"\"\n goblin_class = Unit.make_unit_class('G')\n\n\n class DeadElf(Exception):\n pass\n for elf_ap in itertools.count(4):\n elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)\n board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class,\n '#': Wall, '.': Space}, power=elf_ap)\n try:\n while True:\n board.play_round()\n except DeadElf:\n continue\n except Board.NoEnemies:\n return sum(u.hp for u in board.units) * board.round\n\n\nsample_boards = [(\n \"\"\"#######\n#.G...#\n#...EG#\n#.#.#G#\n#..G#E#\n#.....#\n#######\"\"\", 27730, \n 4988), (\"\"\"#######\n#G..#E#\n#E#E.E#\n#G.##.#\n#...#E#\n#...E.#\n#######\"\"\", \n 36334, None), (\n \"\"\"#######\n#E..EG#\n#.#G.E#\n#E.##E#\n#G..#.#\n#..E#.#\n#######\"\"\", 39514, \n 31284), (\"\"\"#######\n#E.G#.#\n#.#G..#\n#G.#.G#\n#G..#.#\n#...E.#\n#######\"\"\",\n 27755, 3478), (\n \"\"\"#######\n#.E...#\n#.#..G#\n#.###.#\n#E#G#G#\n#...#G#\n#######\"\"\", 28944, \n 6474), (\n \"\"\"#########\n#G......#\n#.E.#...#\n#..##..G#\n#...##..#\n#...#...#\n#.G...G.#\n#.....G.#\n#########\"\"\"\n , 18740, 1140)]\nif __name__ == '__main__':\n for board, part1_score, part2_score in sample_boards:\n assert part1_score == part1(board)\n assert part2_score is None or part2_score == part2(board)\n board = get_input(day=15, year=2018)\n print('Part 1: {}'.format(part1(board)))\n print('Part 2: {}'.format(part2(board)))\n",
"<import token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\ndef part1(lines):\n \"\"\"Solution to part 1\"\"\"\n board = Board.make_board(lines, {'E': Unit.make_unit_class('E'), 'G':\n Unit.make_unit_class('G'), '#': Wall, '.': Space})\n while True:\n try:\n board.play_round()\n except Board.NoEnemies:\n break\n return sum(u.hp for u in board.units) * board.round\n\n\ndef part2(lines):\n \"\"\"Solution to part 2\"\"\"\n goblin_class = Unit.make_unit_class('G')\n\n\n class DeadElf(Exception):\n pass\n for elf_ap in itertools.count(4):\n elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)\n board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class,\n '#': Wall, '.': Space}, power=elf_ap)\n try:\n while True:\n board.play_round()\n except DeadElf:\n continue\n except Board.NoEnemies:\n return sum(u.hp for u in board.units) * board.round\n\n\nsample_boards = [(\n \"\"\"#######\n#.G...#\n#...EG#\n#.#.#G#\n#..G#E#\n#.....#\n#######\"\"\", 27730, \n 4988), (\"\"\"#######\n#G..#E#\n#E#E.E#\n#G.##.#\n#...#E#\n#...E.#\n#######\"\"\", \n 36334, None), (\n \"\"\"#######\n#E..EG#\n#.#G.E#\n#E.##E#\n#G..#.#\n#..E#.#\n#######\"\"\", 39514, \n 31284), (\"\"\"#######\n#E.G#.#\n#.#G..#\n#G.#.G#\n#G..#.#\n#...E.#\n#######\"\"\",\n 27755, 3478), (\n \"\"\"#######\n#.E...#\n#.#..G#\n#.###.#\n#E#G#G#\n#...#G#\n#######\"\"\", 28944, \n 6474), (\n \"\"\"#########\n#G......#\n#.E.#...#\n#..##..G#\n#...##..#\n#...#...#\n#.G...G.#\n#.....G.#\n#########\"\"\"\n , 18740, 1140)]\nif __name__ == '__main__':\n for board, part1_score, part2_score in sample_boards:\n assert part1_score == part1(board)\n assert part2_score is None or part2_score == part2(board)\n board = get_input(day=15, year=2018)\n print('Part 1: {}'.format(part1(board)))\n print('Part 2: {}'.format(part2(board)))\n",
"<import token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\ndef part1(lines):\n \"\"\"Solution to part 1\"\"\"\n board = Board.make_board(lines, {'E': Unit.make_unit_class('E'), 'G':\n Unit.make_unit_class('G'), '#': Wall, '.': Space})\n while True:\n try:\n board.play_round()\n except Board.NoEnemies:\n break\n return sum(u.hp for u in board.units) * board.round\n\n\ndef part2(lines):\n \"\"\"Solution to part 2\"\"\"\n goblin_class = Unit.make_unit_class('G')\n\n\n class DeadElf(Exception):\n pass\n for elf_ap in itertools.count(4):\n elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)\n board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class,\n '#': Wall, '.': Space}, power=elf_ap)\n try:\n while True:\n board.play_round()\n except DeadElf:\n continue\n except Board.NoEnemies:\n return sum(u.hp for u in board.units) * board.round\n\n\n<assignment token>\nif __name__ == '__main__':\n for board, part1_score, part2_score in sample_boards:\n assert part1_score == part1(board)\n assert part2_score is None or part2_score == part2(board)\n board = get_input(day=15, year=2018)\n print('Part 1: {}'.format(part1(board)))\n print('Part 2: {}'.format(part2(board)))\n",
"<import token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\ndef part1(lines):\n \"\"\"Solution to part 1\"\"\"\n board = Board.make_board(lines, {'E': Unit.make_unit_class('E'), 'G':\n Unit.make_unit_class('G'), '#': Wall, '.': Space})\n while True:\n try:\n board.play_round()\n except Board.NoEnemies:\n break\n return sum(u.hp for u in board.units) * board.round\n\n\ndef part2(lines):\n \"\"\"Solution to part 2\"\"\"\n goblin_class = Unit.make_unit_class('G')\n\n\n class DeadElf(Exception):\n pass\n for elf_ap in itertools.count(4):\n elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)\n board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class,\n '#': Wall, '.': Space}, power=elf_ap)\n try:\n while True:\n board.play_round()\n except DeadElf:\n continue\n except Board.NoEnemies:\n return sum(u.hp for u in board.units) * board.round\n\n\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n\n\ndef part2(lines):\n \"\"\"Solution to part 2\"\"\"\n goblin_class = Unit.make_unit_class('G')\n\n\n class DeadElf(Exception):\n pass\n for elf_ap in itertools.count(4):\n elf_class = Unit.make_unit_class('E', elf_ap, 200, DeadElf)\n board = Board.make_board(lines, {'E': elf_class, 'G': goblin_class,\n '#': Wall, '.': Space}, power=elf_ap)\n try:\n while True:\n board.play_round()\n except DeadElf:\n continue\n except Board.NoEnemies:\n return sum(u.hp for u in board.units) * board.round\n\n\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n\n def __add__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return Point(self.x + other.x, self.y + other.y)\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n\n def __init__(self, x, y):\n self.x = x\n self.y = y\n <function token>\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n <function token>\n <function token>\n\n def __repr__(self):\n return f'Point(x={self.x}, y={self.y})'\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n <function token>\n <function token>\n <function token>\n\n def __hash__(self):\n return hash((self.x, self.y))\n\n def __eq__(self, other):\n if not isinstance(other, type(self)):\n return NotImplemented\n return self.x == other.x and self.y == other.y\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n <function token>\n <function token>\n <function token>\n\n def __hash__(self):\n return hash((self.x, self.y))\n <function token>\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass Point:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n\n def __str__(self):\n return self.__class__.char\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BoardItem:\n\n def __init__(self, board=None, pos=None):\n self.board = board\n self.pos = pos\n <function token>\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n\n\nclass BoardItem:\n <function token>\n <function token>\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass Wall(BoardItem):\n char = '#'\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n\n\nclass Wall(BoardItem):\n <assignment token>\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n\n\nclass Space(BoardItem):\n char = '.'\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n\n\nclass Space(BoardItem):\n <assignment token>\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n\n def __init__(self, *args, **kwargs):\n super().__init__(*args, **kwargs)\n self._hp = type(self).cls_hp\n self.ap = type(self).cls_ap\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n\n def attack(self, defender):\n if defender is not None:\n defender.hp -= self.ap\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n\n @property\n def hp(self):\n return self._hp\n\n @hp.setter\n def hp(self, other):\n self._hp = other\n if self._hp <= 0:\n self.board[self.pos] = Space()\n if self.on_death:\n raise self.on_death(repr(self))\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n\n @property\n def hp(self):\n return self._hp\n <function token>\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n <function token>\n <function token>\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n\n def get_targets(self):\n targets = set()\n enemies = [u for u in self.board.units if self.is_enemy(u)]\n if enemies == []:\n raise Board.NoEnemies\n for unit in enemies:\n for diff in self.board.READ_ORDER:\n if isinstance(self.board[unit.pos + diff], Space\n ) or self.pos == unit.pos + diff:\n targets.add(unit.pos + diff)\n return targets\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n <function token>\n <function token>\n\n def is_enemy(self, other):\n return isinstance(other, Unit) and not isinstance(other, type(self)\n ) and other.hp > 0\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n <function token>\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n <function token>\n <function token>\n <function token>\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n\n @classmethod\n def make_unit_class(cls, char, attack=3, hp=200, on_death=None):\n unit_type = 'Elf' if char == 'E' else 'Goblin'\n\n\n class Cls(cls):\n\n def __repr__(self):\n return (\n f'{unit_type}({repr(self.pos)}, attack={self.ap}, hp={self.hp})'\n )\n Cls.char = char\n Cls.cls_ap = attack\n Cls.cls_hp = hp\n Cls.on_death = on_death\n return Cls\n <function token>\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n <function token>\n <function token>\n <function token>\n\n def find_defender(self):\n defender = None\n for diff in [self.board[self.pos + diff] for diff in self.board.\n READ_ORDER]:\n if self.is_enemy(diff):\n if not defender or diff.hp < defender.hp:\n defender = diff\n return defender\n <function token>\n <function token>\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Unit(BoardItem):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n READ_ORDER = Point(0, -1), Point(-1, 0), Point(1, 0), Point(0, 1)\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n\n def __setitem__(self, point, value):\n if not isinstance(point, Point):\n return NotImplemented\n elif not isinstance(value, BoardItem):\n return NotImplemented\n while point.y >= len(self._rows):\n self._rows.append([])\n while point.x >= len(self._rows[point.y]):\n self._rows[point.y].append(None)\n self._rows[point.y][point.x] = value\n value.board = self\n value.pos = point\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n\n def find_move(self, attacker, targets):\n if attacker.pos in targets:\n return None\n queue = [(0, attacker.pos, None)]\n step_map = {}\n while queue:\n steps, pos, prev = queue.pop(0)\n if pos in step_map or not (isinstance(self[pos], Space) or prev is\n None):\n continue\n step_map[pos] = steps, prev\n for diff in self.READ_ORDER:\n queue.append((steps + 1, pos + diff, pos))\n smallest, first = None, None\n for square in [u for row in self for u in row]:\n steps, pos = step_map.get(square.pos, (smallest, first))\n if square.pos in targets and (smallest is None or smallest > steps\n ):\n smallest, first = steps, square.pos\n if smallest is None:\n return attacker.pos\n prev = first\n while smallest is not None and smallest > 1:\n first = prev\n smallest, prev = step_map[first]\n return first or attacker.pos\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n\n def __init__(self, power=3):\n self._rows = []\n self.round = 0\n self.power = power\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n <function token>\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n\n @classmethod\n def make_board(cls, lines, mapping, power=3):\n board = cls(power)\n for y, line in enumerate(lines.splitlines()):\n for x, char in enumerate(list(line)):\n board[Point(x, y)] = mapping[char]()\n board.unit_order = board.units\n board.attacker = board.unit_order.pop(0)\n return board\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n <function token>\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n <function token>\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n <function token>\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n\n def play_round(self):\n for attacker in self.units:\n if attacker.hp <= 0:\n continue\n targets = attacker.get_targets()\n move = self.find_move(attacker, targets)\n self[attacker.pos], self[move] = self[move], self[attacker.pos]\n defender = attacker.find_defender()\n attacker.attack(defender)\n self.round += 1\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n <function token>\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n\n @property\n def units(self):\n return [u for row in self for u in row if isinstance(u, Unit)]\n <function token>\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n <function token>\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n <function token>\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n <function token>\n <function token>\n\n def __repr__(self):\n representation = [f'Round {self.round}/{self.power}']\n representation.extend(''.join(str(u) for u in row) for row in self)\n representation.extend(repr(u) for u in self.units)\n return '\\n'.join(representation)\n <function token>\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n <function token>\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n\n def __iter__(self):\n return iter(self._rows)\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n <function token>\n\n def __getitem__(self, pos):\n if isinstance(pos, Point):\n return self._rows[pos.y][pos.x]\n return NotImplemented\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Board:\n <assignment token>\n <function token>\n\n\n class NoEnemies(Exception):\n pass\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<function token>\n<function token>\n<assignment token>\n<code token>\n"
] | false |
98,716 |
14bc43d423ee5003079eedd030a83db13a44850a
|
# encoding: utf-8
"""
@author: lileilei
@file: htmltestreport.py
@time: 2017/6/5 17:04
"""
import os
titles = '接口测试'
def title(titles):
title = '''<!DOCTYPE html>
<html>
<head>
<title>%s</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<!-- 引入 Bootstrap -->
<link href="https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css" rel="stylesheet">
<!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->
<!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js"></script>
<script src="https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js"></script>
<![endif]-->
<style type="text/css">
.hidden-detail,.hidden-tr{
display:none;
}
</style>
</head>
<body>
''' % (titles)
return title
connent = '''
<div class='col-md-5 col-md-offset-5' style="margin-left: 2%;margin-top: -16px;">
<h1>FXTest测试平台接口测试的结果</h1>'''
def time(starttime, endtime, passge, fail, excepts, yuqi, weizhi, maxs, mins, pingluns):
beijing = '''
<table class="table table-hover table-condensed">
<tbody>
<tr>
<td><strong>开始时间:</strong> %s</td>
</tr>
<td><strong>结束时间:</strong> %s</td></tr>
<td><strong>耗时:</strong> %s</td></tr>
<td>
<strong>结果:</strong>
<span >通过:
<strong >%s</strong>
失败:
<strong >%s</strong>
Exception:
<strong >%s</strong>
预期不存在:
<strong >%s</strong>
未知错误:
<strong >%s</strong>
</td>
</tr>
<tr>
<td>
<strong>单接口耗时最大值:</strong>%s s，
<strong>最小值:</strong> %s s，
<strong>平均耗时:</strong> %s s
</td>
</tr>
</tbody></table>
</div> ''' % (
starttime, endtime, (endtime - starttime), passge, fail, excepts, yuqi, weizhi, maxs, mins, pingluns)
return beijing
shanghai = '''<div class="row " style="margin:35px">
<div style=' margin-top: 18%;' >
<div class="btn-group" role="group" aria-label="...">
<button type="button" id="check-all" class="btn btn-primary">所有用例</button>
<button type="button" id="check-success" class="btn btn-success">成功用例</button>
<button type="button" id="check-danger" class="btn btn-danger">失败用例</button>
<button type="button" id="check-warning" class="btn btn-warning">错误用例</button>
<button type="button" id="check-except" class="btn btn-defult">异常用例</button>
</div>
<div class="btn-group" role="group" aria-label="...">
</div>
<table class="table table-hover table-condensed table-bordered" style="word-wrap:break-word; word-break:break-all; margin-top: 7px;">
<tr >
<td ><strong>用例ID </strong></td>
<td><strong>项目</strong></td>
<td><strong>url</strong></td>
<td><strong>请求方式</strong></td>
<td><strong>参数</strong></td>
<td><strong>headers</strong></td>
<td><strong>预期</strong></td>
<td><strong>实际返回</strong></td>
<td><strong>结果</strong></td>
</tr>
'''
def passfail(tend):
if tend == 'pass':
htl = ' <td bgcolor="green">pass</td>'
elif tend == 'fail':
htl = ' <td bgcolor="fail">fail</td>'
elif tend == 'Exception':
htl = '<td bgcolor="#8b0000">Exception</td>'
elif tend == '预期不存在':
htl = '<td bgcolor="#8b0000">预期不存在</td>'
elif tend == '未知错误':
htl = '<td bgcolor="#8b0000">未知错误</td>'
elif tend == '测试环境不存在':
htl = '<td bgcolor="#8b0000">测试环境不存在</td>'
else:
htl = '<td bgcolor="#8b0000">查看日志</td>'
return htl
def ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust, headers):
xiangqing = '''
<tr class="case-tr %s">
<td>%s</td>
<td>%s</td>
<td>%s</td>
<td>%s</td>
<td>%s</td>
<td>%s</td>
<td>%s</td>
<td>%s</td>
%s
</tr>
''' % (res_id, id, name, coneent, url, meth, headers, yuqi, json, (passfail(relust)))
return xiangqing
weibu = '''</div></div></table><script src="https://code.jquery.com/jquery.js"></script>
<script src="https://cdn.bootcss.com/bootstrap/3.3.6/js/bootstrap.min.js"></script>
<script type="text/javascript">
$("#check-danger").click(function(e){
$(".case-tr").removeClass("hidden-tr");
$(".success").addClass("hidden-tr");
$(".warning").addClass("hidden-tr");
$(".error").addClass("hidden-tr");
});
$("#check-warning").click(function(e){
$(".case-tr").removeClass("hidden-tr");
$(".success").addClass("hidden-tr");
$(".danger").addClass("hidden-tr");
$(".error").addClass("hidden-tr");
});
$("#check-success").click(function(e){
$(".case-tr").removeClass("hidden-tr");
$(".warning").addClass("hidden-tr");
$(".danger").addClass("hidden-tr");
$(".error").addClass("hidden-tr");
});
$("#check-except").click(function(e){
$(".case-tr").removeClass("hidden-tr");
$(".warning").addClass("hidden-tr");
$(".danger").addClass("hidden-tr");
$(".success").addClass("hidden-tr");
});
$("#check-all").click(function(e){
$(".case-tr").removeClass("hidden-tr");
});
</script>
</body>
</html>'''
def relust(titles, starttime, endtime, passge, fail, id: list, name: list, headers: list, coneent: list, url: list,
meth: list, yuqi: list, json: list, relust: list, excepts, yuqis, weizhi, maxs, mins, pingluns):
if type(name) is list:
relus = ' '
for i in range(len(name)):
if relust[i] == "pass":
clazz = "success"
elif relust[i] == "fail":
clazz = "warning"
elif relust[i] == "未知错误":
clazz = "danger"
else:
clazz = 'error'
relus += (
ceshixiangqing(clazz, id[i], name[i], coneent=coneent[i], url=url[i], headers=headers[i], meth=meth[i],
yuqi=yuqi[i], json=json[i], relust=relust[i]))
text = title(titles) + connent + time(starttime, endtime, passge, fail, excepts, yuqis, weizhi, maxs, mins,
pingluns) + shanghai + relus + weibu
else:
text = title(titles) + connent + time(starttime, endtime, passge, fail, excepts, yuqis, weizhi, maxs, mins,
pingluns) + shanghai + ceshixiangqing(id=id, name=name, headers=headers,
coneent=coneent, url=url, meth=meth,
yuqi=int(yuqi), json=json,
relust=relust) + weibu
return text
def createHtml(filepath, titles, starttime, endtime, passge, fail, id, name, headers, coneent, url, meth, yuqi, json,
relusts, excepts, yuqis, weizhi, maxs, mins, pingluns):
texts = relust(titles=titles, starttime=starttime, endtime=endtime, passge=passge, fail=fail, id=id, name=name,
headers=headers, coneent=coneent,
url=url, meth=meth, yuqi=yuqi, json=json, relust=relusts, excepts=excepts, yuqis=yuqis,
weizhi=weizhi, maxs=maxs, mins=mins, pingluns=pingluns)
with open(filepath, 'wb') as f:
f.write(texts.encode())
|
[
"# encoding: utf-8\n\"\"\"\n@author: lileilei\n@file: htmltestreport.py\n@time: 2017/6/5 17:04\n\"\"\"\nimport os\n\ntitles = '接口测试'\n\n\ndef title(titles):\n title = '''<!DOCTYPE html>\n<html>\n<head>\n\t<title>%s</title>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <!-- 引入 Bootstrap -->\n <link href=\"https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css\" rel=\"stylesheet\">\n <!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->\n <!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->\n <!--[if lt IE 9]>\n <script src=\"https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js\"></script>\n <script src=\"https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js\"></script>\n <![endif]-->\n <style type=\"text/css\">\n .hidden-detail,.hidden-tr{\n display:none;\n }\n </style>\n</head>\n<body>\n\t''' % (titles)\n return title\n\n\nconnent = '''\n<div class='col-md-5 col-md-offset-5' style=\"margin-left: 2%;margin-top: -16px;\">\n<h1>FXTest测试平台接口测试的结果</h1>'''\n\n\ndef time(starttime, endtime, passge, fail, excepts, yuqi, weizhi, maxs, mins, pingluns):\n beijing = '''\n <table class=\"table table-hover table-condensed\">\n <tbody>\n <tr>\n\t\t<td><strong>开始时间:</strong> %s</td>\n\t\t</tr>\n\t\t<td><strong>结束时间:</strong> %s</td></tr>\n\t\t<td><strong>耗时:</strong> %s</td></tr>\n\t\t<td>\n\t\t\t<strong>结果:</strong>\n\t\t\t<span >通过: \n\t\t\t<strong >%s</strong>\n\t\t\t失败: \n\t\t\t<strong >%s</strong>\n\t\t\tException: \n\t\t\t<strong >%s</strong>\n\t\t\t预期不存在: \n\t\t\t<strong >%s</strong>\n\t\t\t未知错误: \n\t\t\t<strong >%s</strong>\n\t\t\t</td> \n\t\t\t </tr>\n\t\t\t <tr>\n\t\t\t <td>\n\t\t\t <strong>单接口耗时最大值:</strong>%s s，\n\t\t\t <strong>最小值:</strong> %s s，\n\t\t\t <strong>平均耗时:</strong> %s s\n\t\t\t </td>\n\t\t\t </tr> \n\t\t\t </tbody></table>\n\t\t\t </div> ''' % (\n starttime, endtime, (endtime - starttime), passge, fail, excepts, yuqi, weizhi, maxs, mins, pingluns)\n return beijing\n\n\nshanghai = '''<div class=\"row \" style=\"margin:35px\">\n <div style=' margin-top: 18%;' >\n <div class=\"btn-group\" role=\"group\" aria-label=\"...\">\n <button type=\"button\" id=\"check-all\" class=\"btn btn-primary\">所有用例</button>\n <button type=\"button\" id=\"check-success\" class=\"btn btn-success\">成功用例</button>\n <button type=\"button\" id=\"check-danger\" class=\"btn btn-danger\">失败用例</button>\n <button type=\"button\" id=\"check-warning\" class=\"btn btn-warning\">错误用例</button>\n <button type=\"button\" id=\"check-except\" class=\"btn btn-defult\">异常用例</button>\n </div>\n <div class=\"btn-group\" role=\"group\" aria-label=\"...\">\n </div>\n <table class=\"table table-hover table-condensed table-bordered\" style=\"word-wrap:break-word; word-break:break-all; margin-top: 7px;\">\n\t\t<tr >\n <td ><strong>用例ID </strong></td>\n <td><strong>项目</strong></td>\n <td><strong>url</strong></td>\n <td><strong>请求方式</strong></td>\n <td><strong>参数</strong></td>\n <td><strong>headers</strong></td>\n <td><strong>预期</strong></td>\n <td><strong>实际返回</strong></td> \n <td><strong>结果</strong></td>\n </tr>\n '''\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust, headers):\n xiangqing = '''\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n ''' % (res_id, id, name, coneent, url, meth, headers, yuqi, json, (passfail(relust)))\n return xiangqing\n\n\nweibu = '''</div></div></table><script src=\"https://code.jquery.com/jquery.js\"></script>\n<script src=\"https://cdn.bootcss.com/bootstrap/3.3.6/js/bootstrap.min.js\"></script>\n<script type=\"text/javascript\">\n\t$(\"#check-danger\").click(function(e){\n\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-warning\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-success\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-except\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-all\").click(function(e){\n\t $(\".case-tr\").removeClass(\"hidden-tr\");\n\t});\n</script>\n</body>\n</html>'''\n\n\ndef relust(titles, starttime, endtime, passge, fail, id: list, name: list, headers: list, coneent: list, url: list,\n meth: list, yuqi: list, json: list, relust: list, excepts, yuqis, weizhi, maxs, mins, pingluns):\n if type(name) is list:\n relus = ' '\n for i in range(len(name)):\n if relust[i] == \"pass\":\n clazz = \"success\"\n elif relust[i] == \"fail\":\n clazz = \"warning\"\n elif relust[i] == \"未知错误\":\n clazz = \"danger\"\n else:\n clazz = 'error'\n relus += (\n ceshixiangqing(clazz, id[i], name[i], coneent=coneent[i], url=url[i], headers=headers[i], meth=meth[i],\n yuqi=yuqi[i], json=json[i], relust=relust[i]))\n text = title(titles) + connent + time(starttime, endtime, passge, fail, excepts, yuqis, weizhi, maxs, mins,\n pingluns) + shanghai + relus + weibu\n else:\n text = title(titles) + connent + time(starttime, endtime, passge, fail, excepts, yuqis, weizhi, maxs, mins,\n pingluns) + shanghai + ceshixiangqing(id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth,\n yuqi=int(yuqi), json=json,\n relust=relust) + weibu\n return text\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name, headers, coneent, url, meth, yuqi, json,\n relusts, excepts, yuqis, weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime, passge=passge, fail=fail, id=id, name=name,\n headers=headers, coneent=coneent,\n url=url, meth=meth, yuqi=yuqi, json=json, relust=relusts, excepts=excepts, yuqis=yuqis,\n weizhi=weizhi, maxs=maxs, mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\nimport os\ntitles = '接口测试'\n\n\ndef title(titles):\n title = (\n \"\"\"<!DOCTYPE html>\n<html>\n<head>\n\t<title>%s</title>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <!-- 引入 Bootstrap -->\n <link href=\"https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css\" rel=\"stylesheet\">\n <!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->\n <!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->\n <!--[if lt IE 9]>\n <script src=\"https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js\"></script>\n <script src=\"https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js\"></script>\n <![endif]-->\n <style type=\"text/css\">\n .hidden-detail,.hidden-tr{\n display:none;\n }\n </style>\n</head>\n<body>\n\t\"\"\"\n % titles)\n return title\n\n\nconnent = \"\"\"\n<div class='col-md-5 col-md-offset-5' style=\"margin-left: 2%;margin-top: -16px;\">\n<h1>FXTest测试平台接口测试的结果</h1>\"\"\"\n\n\ndef time(starttime, endtime, passge, fail, excepts, yuqi, weizhi, maxs,\n mins, pingluns):\n beijing = (\n \"\"\"\n <table class=\"table table-hover table-condensed\">\n <tbody>\n <tr>\n\t\t<td><strong>开始时间:</strong> %s</td>\n\t\t</tr>\n\t\t<td><strong>结束时间:</strong> %s</td></tr>\n\t\t<td><strong>耗时:</strong> %s</td></tr>\n\t\t<td>\n\t\t\t<strong>结果:</strong>\n\t\t\t<span >通过: \n\t\t\t<strong >%s</strong>\n\t\t\t失败: \n\t\t\t<strong >%s</strong>\n\t\t\tException: \n\t\t\t<strong >%s</strong>\n\t\t\t预期不存在: \n\t\t\t<strong >%s</strong>\n\t\t\t未知错误: \n\t\t\t<strong >%s</strong>\n\t\t\t</td> \n\t\t\t </tr>\n\t\t\t <tr>\n\t\t\t <td>\n\t\t\t <strong>单接口耗时最大值:</strong>%s s，\n\t\t\t <strong>最小值:</strong> %s s，\n\t\t\t <strong>平均耗时:</strong> %s s\n\t\t\t </td>\n\t\t\t </tr> \n\t\t\t </tbody></table>\n\t\t\t </div> \"\"\"\n % (starttime, endtime, endtime - starttime, passge, fail, excepts,\n yuqi, weizhi, maxs, mins, pingluns))\n return beijing\n\n\nshanghai = \"\"\"<div class=\"row \" style=\"margin:35px\">\n <div style=' margin-top: 18%;' >\n <div class=\"btn-group\" role=\"group\" aria-label=\"...\">\n <button type=\"button\" id=\"check-all\" class=\"btn btn-primary\">所有用例</button>\n <button type=\"button\" id=\"check-success\" class=\"btn btn-success\">成功用例</button>\n <button type=\"button\" id=\"check-danger\" class=\"btn btn-danger\">失败用例</button>\n <button type=\"button\" id=\"check-warning\" class=\"btn btn-warning\">错误用例</button>\n <button type=\"button\" id=\"check-except\" class=\"btn btn-defult\">异常用例</button>\n </div>\n <div class=\"btn-group\" role=\"group\" aria-label=\"...\">\n </div>\n <table class=\"table table-hover table-condensed table-bordered\" style=\"word-wrap:break-word; word-break:break-all; margin-top: 7px;\">\n\t\t<tr >\n <td ><strong>用例ID </strong></td>\n <td><strong>项目</strong></td>\n <td><strong>url</strong></td>\n <td><strong>请求方式</strong></td>\n <td><strong>参数</strong></td>\n <td><strong>headers</strong></td>\n <td><strong>预期</strong></td>\n <td><strong>实际返回</strong></td> \n <td><strong>结果</strong></td>\n </tr>\n \"\"\"\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\nweibu = \"\"\"</div></div></table><script src=\"https://code.jquery.com/jquery.js\"></script>\n<script src=\"https://cdn.bootcss.com/bootstrap/3.3.6/js/bootstrap.min.js\"></script>\n<script type=\"text/javascript\">\n\t$(\"#check-danger\").click(function(e){\n\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-warning\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-success\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-except\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-all\").click(function(e){\n\t $(\".case-tr\").removeClass(\"hidden-tr\");\n\t});\n</script>\n</body>\n</html>\"\"\"\n\n\ndef relust(titles, starttime, endtime, passge, fail, id: list, name: list,\n headers: list, coneent: list, url: list, meth: list, yuqi: list, json:\n list, relust: list, excepts, yuqis, weizhi, maxs, mins, pingluns):\n if type(name) is list:\n relus = ' '\n for i in range(len(name)):\n if relust[i] == 'pass':\n clazz = 'success'\n elif relust[i] == 'fail':\n clazz = 'warning'\n elif relust[i] == '未知错误':\n clazz = 'danger'\n else:\n clazz = 'error'\n relus += ceshixiangqing(clazz, id[i], name[i], coneent=coneent[\n i], url=url[i], headers=headers[i], meth=meth[i], yuqi=yuqi\n [i], json=json[i], relust=relust[i])\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + relus + weibu\n else:\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + ceshixiangqing(id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=int(yuqi), json=json,\n relust=relust) + weibu\n return text\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name,\n headers, coneent, url, meth, yuqi, json, relusts, excepts, yuqis,\n weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime,\n passge=passge, fail=fail, id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=yuqi, json=json, relust=\n relusts, excepts=excepts, yuqis=yuqis, weizhi=weizhi, maxs=maxs,\n mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\n<import token>\ntitles = '接口测试'\n\n\ndef title(titles):\n title = (\n \"\"\"<!DOCTYPE html>\n<html>\n<head>\n\t<title>%s</title>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <!-- 引入 Bootstrap -->\n <link href=\"https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css\" rel=\"stylesheet\">\n <!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->\n <!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->\n <!--[if lt IE 9]>\n <script src=\"https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js\"></script>\n <script src=\"https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js\"></script>\n <![endif]-->\n <style type=\"text/css\">\n .hidden-detail,.hidden-tr{\n display:none;\n }\n </style>\n</head>\n<body>\n\t\"\"\"\n % titles)\n return title\n\n\nconnent = \"\"\"\n<div class='col-md-5 col-md-offset-5' style=\"margin-left: 2%;margin-top: -16px;\">\n<h1>FXTest测试平台接口测试的结果</h1>\"\"\"\n\n\ndef time(starttime, endtime, passge, fail, excepts, yuqi, weizhi, maxs,\n mins, pingluns):\n beijing = (\n \"\"\"\n <table class=\"table table-hover table-condensed\">\n <tbody>\n <tr>\n\t\t<td><strong>开始时间:</strong> %s</td>\n\t\t</tr>\n\t\t<td><strong>结束时间:</strong> %s</td></tr>\n\t\t<td><strong>耗时:</strong> %s</td></tr>\n\t\t<td>\n\t\t\t<strong>结果:</strong>\n\t\t\t<span >通过: \n\t\t\t<strong >%s</strong>\n\t\t\t失败: \n\t\t\t<strong >%s</strong>\n\t\t\tException: \n\t\t\t<strong >%s</strong>\n\t\t\t预期不存在: \n\t\t\t<strong >%s</strong>\n\t\t\t未知错误: \n\t\t\t<strong >%s</strong>\n\t\t\t</td> \n\t\t\t </tr>\n\t\t\t <tr>\n\t\t\t <td>\n\t\t\t <strong>单接口耗时最大值:</strong>%s s，\n\t\t\t <strong>最小值:</strong> %s s，\n\t\t\t <strong>平均耗时:</strong> %s s\n\t\t\t </td>\n\t\t\t </tr> \n\t\t\t </tbody></table>\n\t\t\t </div> \"\"\"\n % (starttime, endtime, endtime - starttime, passge, fail, excepts,\n yuqi, weizhi, maxs, mins, pingluns))\n return beijing\n\n\nshanghai = \"\"\"<div class=\"row \" style=\"margin:35px\">\n <div style=' margin-top: 18%;' >\n <div class=\"btn-group\" role=\"group\" aria-label=\"...\">\n <button type=\"button\" id=\"check-all\" class=\"btn btn-primary\">所有用例</button>\n <button type=\"button\" id=\"check-success\" class=\"btn btn-success\">成功用例</button>\n <button type=\"button\" id=\"check-danger\" class=\"btn btn-danger\">失败用例</button>\n <button type=\"button\" id=\"check-warning\" class=\"btn btn-warning\">错误用例</button>\n <button type=\"button\" id=\"check-except\" class=\"btn btn-defult\">异常用例</button>\n </div>\n <div class=\"btn-group\" role=\"group\" aria-label=\"...\">\n </div>\n <table class=\"table table-hover table-condensed table-bordered\" style=\"word-wrap:break-word; word-break:break-all; margin-top: 7px;\">\n\t\t<tr >\n <td ><strong>用例ID </strong></td>\n <td><strong>项目</strong></td>\n <td><strong>url</strong></td>\n <td><strong>请求方式</strong></td>\n <td><strong>参数</strong></td>\n <td><strong>headers</strong></td>\n <td><strong>预期</strong></td>\n <td><strong>实际返回</strong></td> \n <td><strong>结果</strong></td>\n </tr>\n \"\"\"\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\nweibu = \"\"\"</div></div></table><script src=\"https://code.jquery.com/jquery.js\"></script>\n<script src=\"https://cdn.bootcss.com/bootstrap/3.3.6/js/bootstrap.min.js\"></script>\n<script type=\"text/javascript\">\n\t$(\"#check-danger\").click(function(e){\n\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-warning\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-success\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".error\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-except\").click(function(e){\n\t\t $(\".case-tr\").removeClass(\"hidden-tr\");\n $(\".warning\").addClass(\"hidden-tr\");\n $(\".danger\").addClass(\"hidden-tr\");\n $(\".success\").addClass(\"hidden-tr\");\n\t});\n\t$(\"#check-all\").click(function(e){\n\t $(\".case-tr\").removeClass(\"hidden-tr\");\n\t});\n</script>\n</body>\n</html>\"\"\"\n\n\ndef relust(titles, starttime, endtime, passge, fail, id: list, name: list,\n headers: list, coneent: list, url: list, meth: list, yuqi: list, json:\n list, relust: list, excepts, yuqis, weizhi, maxs, mins, pingluns):\n if type(name) is list:\n relus = ' '\n for i in range(len(name)):\n if relust[i] == 'pass':\n clazz = 'success'\n elif relust[i] == 'fail':\n clazz = 'warning'\n elif relust[i] == '未知错误':\n clazz = 'danger'\n else:\n clazz = 'error'\n relus += ceshixiangqing(clazz, id[i], name[i], coneent=coneent[\n i], url=url[i], headers=headers[i], meth=meth[i], yuqi=yuqi\n [i], json=json[i], relust=relust[i])\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + relus + weibu\n else:\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + ceshixiangqing(id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=int(yuqi), json=json,\n relust=relust) + weibu\n return text\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name,\n headers, coneent, url, meth, yuqi, json, relusts, excepts, yuqis,\n weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime,\n passge=passge, fail=fail, id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=yuqi, json=json, relust=\n relusts, excepts=excepts, yuqis=yuqis, weizhi=weizhi, maxs=maxs,\n mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\n<import token>\n<assignment token>\n\n\ndef title(titles):\n title = (\n \"\"\"<!DOCTYPE html>\n<html>\n<head>\n\t<title>%s</title>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <!-- 引入 Bootstrap -->\n <link href=\"https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css\" rel=\"stylesheet\">\n <!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->\n <!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->\n <!--[if lt IE 9]>\n <script src=\"https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js\"></script>\n <script src=\"https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js\"></script>\n <![endif]-->\n <style type=\"text/css\">\n .hidden-detail,.hidden-tr{\n display:none;\n }\n </style>\n</head>\n<body>\n\t\"\"\"\n % titles)\n return title\n\n\n<assignment token>\n\n\ndef time(starttime, endtime, passge, fail, excepts, yuqi, weizhi, maxs,\n mins, pingluns):\n beijing = (\n \"\"\"\n <table class=\"table table-hover table-condensed\">\n <tbody>\n <tr>\n\t\t<td><strong>开始时间:</strong> %s</td>\n\t\t</tr>\n\t\t<td><strong>结束时间:</strong> %s</td></tr>\n\t\t<td><strong>耗时:</strong> %s</td></tr>\n\t\t<td>\n\t\t\t<strong>结果:</strong>\n\t\t\t<span >通过: \n\t\t\t<strong >%s</strong>\n\t\t\t失败: \n\t\t\t<strong >%s</strong>\n\t\t\tException: \n\t\t\t<strong >%s</strong>\n\t\t\t预期不存在: \n\t\t\t<strong >%s</strong>\n\t\t\t未知错误: \n\t\t\t<strong >%s</strong>\n\t\t\t</td> \n\t\t\t </tr>\n\t\t\t <tr>\n\t\t\t <td>\n\t\t\t <strong>单接口耗时最大值:</strong>%s s，\n\t\t\t <strong>最小值:</strong> %s s，\n\t\t\t <strong>平均耗时:</strong> %s s\n\t\t\t </td>\n\t\t\t </tr> \n\t\t\t </tbody></table>\n\t\t\t </div> \"\"\"\n % (starttime, endtime, endtime - starttime, passge, fail, excepts,\n yuqi, weizhi, maxs, mins, pingluns))\n return beijing\n\n\n<assignment token>\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\n<assignment token>\n\n\ndef relust(titles, starttime, endtime, passge, fail, id: list, name: list,\n headers: list, coneent: list, url: list, meth: list, yuqi: list, json:\n list, relust: list, excepts, yuqis, weizhi, maxs, mins, pingluns):\n if type(name) is list:\n relus = ' '\n for i in range(len(name)):\n if relust[i] == 'pass':\n clazz = 'success'\n elif relust[i] == 'fail':\n clazz = 'warning'\n elif relust[i] == '未知错误':\n clazz = 'danger'\n else:\n clazz = 'error'\n relus += ceshixiangqing(clazz, id[i], name[i], coneent=coneent[\n i], url=url[i], headers=headers[i], meth=meth[i], yuqi=yuqi\n [i], json=json[i], relust=relust[i])\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + relus + weibu\n else:\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + ceshixiangqing(id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=int(yuqi), json=json,\n relust=relust) + weibu\n return text\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name,\n headers, coneent, url, meth, yuqi, json, relusts, excepts, yuqis,\n weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime,\n passge=passge, fail=fail, id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=yuqi, json=json, relust=\n relusts, excepts=excepts, yuqis=yuqis, weizhi=weizhi, maxs=maxs,\n mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\n<import token>\n<assignment token>\n\n\ndef title(titles):\n title = (\n \"\"\"<!DOCTYPE html>\n<html>\n<head>\n\t<title>%s</title>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <!-- 引入 Bootstrap -->\n <link href=\"https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css\" rel=\"stylesheet\">\n <!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->\n <!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->\n <!--[if lt IE 9]>\n <script src=\"https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js\"></script>\n <script src=\"https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js\"></script>\n <![endif]-->\n <style type=\"text/css\">\n .hidden-detail,.hidden-tr{\n display:none;\n }\n </style>\n</head>\n<body>\n\t\"\"\"\n % titles)\n return title\n\n\n<assignment token>\n<function token>\n<assignment token>\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\n<assignment token>\n\n\ndef relust(titles, starttime, endtime, passge, fail, id: list, name: list,\n headers: list, coneent: list, url: list, meth: list, yuqi: list, json:\n list, relust: list, excepts, yuqis, weizhi, maxs, mins, pingluns):\n if type(name) is list:\n relus = ' '\n for i in range(len(name)):\n if relust[i] == 'pass':\n clazz = 'success'\n elif relust[i] == 'fail':\n clazz = 'warning'\n elif relust[i] == '未知错误':\n clazz = 'danger'\n else:\n clazz = 'error'\n relus += ceshixiangqing(clazz, id[i], name[i], coneent=coneent[\n i], url=url[i], headers=headers[i], meth=meth[i], yuqi=yuqi\n [i], json=json[i], relust=relust[i])\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + relus + weibu\n else:\n text = title(titles) + connent + time(starttime, endtime, passge,\n fail, excepts, yuqis, weizhi, maxs, mins, pingluns\n ) + shanghai + ceshixiangqing(id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=int(yuqi), json=json,\n relust=relust) + weibu\n return text\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name,\n headers, coneent, url, meth, yuqi, json, relusts, excepts, yuqis,\n weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime,\n passge=passge, fail=fail, id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=yuqi, json=json, relust=\n relusts, excepts=excepts, yuqis=yuqis, weizhi=weizhi, maxs=maxs,\n mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\n<import token>\n<assignment token>\n\n\ndef title(titles):\n title = (\n \"\"\"<!DOCTYPE html>\n<html>\n<head>\n\t<title>%s</title>\n\t<meta charset=\"UTF-8\">\n\t<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n <!-- 引入 Bootstrap -->\n <link href=\"https://cdn.bootcss.com/bootstrap/3.3.6/css/bootstrap.min.css\" rel=\"stylesheet\">\n <!-- HTML5 Shim 和 Respond.js 用于让 IE8 支持 HTML5元素和媒体查询 -->\n <!-- 注意： 如果通过 file:// 引入 Respond.js 文件，则该文件无法起效果 -->\n <!--[if lt IE 9]>\n <script src=\"https://oss.maxcdn.com/libs/html5shiv/3.7.0/html5shiv.js\"></script>\n <script src=\"https://oss.maxcdn.com/libs/respond.js/1.3.0/respond.min.js\"></script>\n <![endif]-->\n <style type=\"text/css\">\n .hidden-detail,.hidden-tr{\n display:none;\n }\n </style>\n</head>\n<body>\n\t\"\"\"\n % titles)\n return title\n\n\n<assignment token>\n<function token>\n<assignment token>\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\n<assignment token>\n<function token>\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name,\n headers, coneent, url, meth, yuqi, json, relusts, excepts, yuqis,\n weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime,\n passge=passge, fail=fail, id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=yuqi, json=json, relust=\n relusts, excepts=excepts, yuqis=yuqis, weizhi=weizhi, maxs=maxs,\n mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<assignment token>\n<function token>\n<assignment token>\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\n<assignment token>\n<function token>\n\n\ndef createHtml(filepath, titles, starttime, endtime, passge, fail, id, name,\n headers, coneent, url, meth, yuqi, json, relusts, excepts, yuqis,\n weizhi, maxs, mins, pingluns):\n texts = relust(titles=titles, starttime=starttime, endtime=endtime,\n passge=passge, fail=fail, id=id, name=name, headers=headers,\n coneent=coneent, url=url, meth=meth, yuqi=yuqi, json=json, relust=\n relusts, excepts=excepts, yuqis=yuqis, weizhi=weizhi, maxs=maxs,\n mins=mins, pingluns=pingluns)\n with open(filepath, 'wb') as f:\n f.write(texts.encode())\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<assignment token>\n<function token>\n<assignment token>\n\n\ndef passfail(tend):\n if tend == 'pass':\n htl = ' <td bgcolor=\"green\">pass</td>'\n elif tend == 'fail':\n htl = ' <td bgcolor=\"fail\">fail</td>'\n elif tend == 'Exception':\n htl = '<td bgcolor=\"#8b0000\">Exception</td>'\n elif tend == '预期不存在':\n htl = '<td bgcolor=\"#8b0000\">预期不存在</td>'\n elif tend == '未知错误':\n htl = '<td bgcolor=\"#8b0000\">未知错误</td>'\n elif tend == '测试环境不存在':\n htl = '<td bgcolor=\"#8b0000\">测试环境不存在</td>'\n else:\n htl = '<td bgcolor=\"#8b0000\">查看日志</td>'\n return htl\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\n<assignment token>\n<function token>\n<function token>\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<assignment token>\n<function token>\n<assignment token>\n<function token>\n\n\ndef ceshixiangqing(res_id, id, name, coneent, url, meth, yuqi, json, relust,\n headers):\n xiangqing = (\n \"\"\"\n <tr class=\"case-tr %s\">\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n <td>%s</td>\n %s\n </tr>\n \"\"\"\n % (res_id, id, name, coneent, url, meth, headers, yuqi, json,\n passfail(relust)))\n return xiangqing\n\n\n<assignment token>\n<function token>\n<function token>\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<assignment token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n<assignment token>\n<function token>\n<function token>\n"
] | false |
98,717 |
0fc4bfe3f8058b159e753ce9cd7deed3261ef9ae
|
import attr
from pi_pid.hardware.mock import Sensor, Switch
from pi_pid.controller import controller
@attr.s
class SimpleStrategy():
sensor = attr.ib()
def evaluate(self):
if self.sensor.read() > 0:
return 'on'
else:
return 'off'
def test_on_when_high():
sense = Sensor()
strat = SimpleStrategy(sensor=sense)
switch = Switch()
controller(switch, strategy=strat)
assert switch.state == 'ON'
def test_off_when_low():
sense = Sensor()
sense.reading = 0
strat = SimpleStrategy(sensor=sense)
switch = Switch()
controller(switch, strategy=strat)
assert switch.state == 'OFF'
|
[
"import attr\nfrom pi_pid.hardware.mock import Sensor, Switch\nfrom pi_pid.controller import controller\n\n\[email protected]\nclass SimpleStrategy():\n\n sensor = attr.ib()\n\n def evaluate(self):\n if self.sensor.read() > 0:\n return 'on'\n else:\n return 'off'\n\n\ndef test_on_when_high():\n sense = Sensor()\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'ON'\n\n\ndef test_off_when_low():\n sense = Sensor()\n sense.reading = 0\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'OFF'\n",
"import attr\nfrom pi_pid.hardware.mock import Sensor, Switch\nfrom pi_pid.controller import controller\n\n\[email protected]\nclass SimpleStrategy:\n sensor = attr.ib()\n\n def evaluate(self):\n if self.sensor.read() > 0:\n return 'on'\n else:\n return 'off'\n\n\ndef test_on_when_high():\n sense = Sensor()\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'ON'\n\n\ndef test_off_when_low():\n sense = Sensor()\n sense.reading = 0\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'OFF'\n",
"<import token>\n\n\[email protected]\nclass SimpleStrategy:\n sensor = attr.ib()\n\n def evaluate(self):\n if self.sensor.read() > 0:\n return 'on'\n else:\n return 'off'\n\n\ndef test_on_when_high():\n sense = Sensor()\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'ON'\n\n\ndef test_off_when_low():\n sense = Sensor()\n sense.reading = 0\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'OFF'\n",
"<import token>\n\n\[email protected]\nclass SimpleStrategy:\n sensor = attr.ib()\n\n def evaluate(self):\n if self.sensor.read() > 0:\n return 'on'\n else:\n return 'off'\n\n\ndef test_on_when_high():\n sense = Sensor()\n strat = SimpleStrategy(sensor=sense)\n switch = Switch()\n controller(switch, strategy=strat)\n assert switch.state == 'ON'\n\n\n<function token>\n",
"<import token>\n\n\[email protected]\nclass SimpleStrategy:\n sensor = attr.ib()\n\n def evaluate(self):\n if self.sensor.read() > 0:\n return 'on'\n else:\n return 'off'\n\n\n<function token>\n<function token>\n",
"<import token>\n\n\[email protected]\nclass SimpleStrategy:\n <assignment token>\n\n def evaluate(self):\n if self.sensor.read() > 0:\n return 'on'\n else:\n return 'off'\n\n\n<function token>\n<function token>\n",
"<import token>\n\n\[email protected]\nclass SimpleStrategy:\n <assignment token>\n <function token>\n\n\n<function token>\n<function token>\n",
"<import token>\n<class token>\n<function token>\n<function token>\n"
] | false |
98,718 |
ef54c241982ad83eeeae2095c92b1eccd82b856a
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Создать класс Goods (товар). В классе должны быть представлены поля: наименование
# товара, дата оформления, цена товара, количество единиц товара, номер накладной, по
# которой товар поступил на склад. Реализовать методы изменения цены товара, изменения
# количества товара (увеличения и уменьшения), вычисления стоимости товара
import math
class Goods:
def __init__(self):
self.__coast = 0
self.__date = 0
self.__name = 0
self.__quan = 0
self.__number = 0
def read(self, name, quan, date, coast, number):
self.name(name)
self.quan(quan)
self.date(date)
self.coast(coast)
self.number(number)
def name(self, prompt=None):
self.__name = input() if prompt is None else input(prompt)
def date(self, prompt=None):
self.__date = input() if prompt is None else input(prompt)
def coast(self, prompt=None):
self.__coast = int(input()) if prompt is None else input(prompt)
def quan(self, prompt=None):
self.__quan = int(input()) if prompt is None else input(prompt)
def number(self, prompt=None):
self.__number = input() if prompt is None else input(prompt)
def set_coast(self, a):
self.__coast = a
def set_quan(self, a):
self.__quan = a
def get_info(self):
return self.__coast, self.__date, self.__name, self.__quan, self.__number
def __stiom(self):
return int(self.__coast) * int(self.__quan)
def dispaly(self):
print("Наименование товара: {}; "
"Дата оформления - {}; "
"Цена товара - {};"
"Количество единиц товара - {}; "
"Номер накладной - {}."
"Стоимость всего товара - {}".format(self.__name, self.__date, self.__coast, self.__quan, self.__number,
self.__stiom()
)
)
if __name__ == '__main__':
T1 = Goods()
T1.read("Введите названия ",
"Введите количество товара ",
"Введите дату оформления ",
"цену товара ",
" и номер накладной "
)
T1.dispaly()
T1.set_quan(50)
T1.set_coast(250)
T1.dispaly()
|
[
"#!/usr/bin/env python3\r\n# -*- coding: utf-8 -*-\r\n\r\n# Создать класс Goods (товар). В классе должны быть представлены поля: наименование\r\n# товара, дата оформления, цена товара, количество единиц товара, номер накладной, по\r\n# которой товар поступил на склад. Реализовать методы изменения цены товара, изменения\r\n# количества товара (увеличения и уменьшения), вычисления стоимости товара\r\n\r\nimport math\r\n\r\n\r\nclass Goods:\r\n\r\n def __init__(self):\r\n self.__coast = 0\r\n self.__date = 0\r\n self.__name = 0\r\n self.__quan = 0\r\n self.__number = 0\r\n\r\n def read(self, name, quan, date, coast, number):\r\n self.name(name)\r\n self.quan(quan)\r\n self.date(date)\r\n self.coast(coast)\r\n self.number(number)\r\n\r\n def name(self, prompt=None):\r\n self.__name = input() if prompt is None else input(prompt)\r\n\r\n def date(self, prompt=None):\r\n self.__date = input() if prompt is None else input(prompt)\r\n\r\n def coast(self, prompt=None):\r\n self.__coast = int(input()) if prompt is None else input(prompt)\r\n\r\n def quan(self, prompt=None):\r\n self.__quan = int(input()) if prompt is None else input(prompt)\r\n\r\n def number(self, prompt=None):\r\n self.__number = input() if prompt is None else input(prompt)\r\n\r\n def set_coast(self, a):\r\n self.__coast = a\r\n\r\n def set_quan(self, a):\r\n self.__quan = a\r\n\r\n def get_info(self):\r\n return self.__coast, self.__date, self.__name, self.__quan, self.__number\r\n\r\n def __stiom(self):\r\n return int(self.__coast) * int(self.__quan)\r\n\r\n def dispaly(self):\r\n print(\"Наименование товара: {}; \"\r\n \"Дата оформления - {}; \"\r\n \"Цена товара - {};\"\r\n \"Количество единиц товара - {}; \"\r\n \"Номер накладной - {}.\"\r\n \"Стоимость всего товара - {}\".format(self.__name, self.__date, self.__coast, self.__quan, self.__number,\r\n self.__stiom()\r\n )\r\n )\r\n\r\n\r\nif __name__ == '__main__':\r\n T1 = Goods()\r\n T1.read(\"Введите названия \",\r\n \"Введите количество товара \",\r\n \"Введите дату оформления \",\r\n \"цену товара \",\r\n \" и номер накладной \"\r\n )\r\n T1.dispaly()\r\n T1.set_quan(50)\r\n T1.set_coast(250)\r\n T1.dispaly()\r\n",
"import math\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n\n def coast(self, prompt=None):\n self.__coast = int(input()) if prompt is None else input(prompt)\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n\n def set_quan(self, a):\n self.__quan = a\n\n def get_info(self):\n return (self.__coast, self.__date, self.__name, self.__quan, self.\n __number)\n\n def __stiom(self):\n return int(self.__coast) * int(self.__quan)\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\nif __name__ == '__main__':\n T1 = Goods()\n T1.read('Введите названия ', 'Введите количество товара ',\n 'Введите дату оформления ', 'цену товара ', ' и номер накладной ')\n T1.dispaly()\n T1.set_quan(50)\n T1.set_coast(250)\n T1.dispaly()\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n\n def coast(self, prompt=None):\n self.__coast = int(input()) if prompt is None else input(prompt)\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n\n def set_quan(self, a):\n self.__quan = a\n\n def get_info(self):\n return (self.__coast, self.__date, self.__name, self.__quan, self.\n __number)\n\n def __stiom(self):\n return int(self.__coast) * int(self.__quan)\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\nif __name__ == '__main__':\n T1 = Goods()\n T1.read('Введите названия ', 'Введите количество товара ',\n 'Введите дату оформления ', 'цену товара ', ' и номер накладной ')\n T1.dispaly()\n T1.set_quan(50)\n T1.set_coast(250)\n T1.dispaly()\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n\n def coast(self, prompt=None):\n self.__coast = int(input()) if prompt is None else input(prompt)\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n\n def set_quan(self, a):\n self.__quan = a\n\n def get_info(self):\n return (self.__coast, self.__date, self.__name, self.__quan, self.\n __number)\n\n def __stiom(self):\n return int(self.__coast) * int(self.__quan)\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n\n def coast(self, prompt=None):\n self.__coast = int(input()) if prompt is None else input(prompt)\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n\n def set_quan(self, a):\n self.__quan = a\n <function token>\n\n def __stiom(self):\n return int(self.__coast) * int(self.__quan)\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n\n def coast(self, prompt=None):\n self.__coast = int(input()) if prompt is None else input(prompt)\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n <function token>\n <function token>\n\n def __stiom(self):\n return int(self.__coast) * int(self.__quan)\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n\n def coast(self, prompt=None):\n self.__coast = int(input()) if prompt is None else input(prompt)\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n\n def name(self, prompt=None):\n self.__name = input() if prompt is None else input(prompt)\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n <function token>\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n <function token>\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n\n def set_coast(self, a):\n self.__coast = a\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n\n def __init__(self):\n self.__coast = 0\n self.__date = 0\n self.__name = 0\n self.__quan = 0\n self.__number = 0\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n <function token>\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n <function token>\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n <function token>\n\n def quan(self, prompt=None):\n self.__quan = int(input()) if prompt is None else input(prompt)\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n <function token>\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n\n def date(self, prompt=None):\n self.__date = input() if prompt is None else input(prompt)\n <function token>\n <function token>\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n <function token>\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def dispaly(self):\n print(\n 'Наименование товара: {}; Дата оформления - {}; Цена товара - {};Количество единиц товара - {}; Номер накладной - {}.Стоимость всего товара - {}'\n .format(self.__name, self.__date, self.__coast, self.__quan,\n self.__number, self.__stiom()))\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n <function token>\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def number(self, prompt=None):\n self.__number = input() if prompt is None else input(prompt)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n <function token>\n\n def read(self, name, quan, date, coast, number):\n self.name(name)\n self.quan(quan)\n self.date(date)\n self.coast(coast)\n self.number(number)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n\n\nclass Goods:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<code token>\n"
] | false |
98,719 |
45b2b132e4985b20d06b4a982a4ccc0c31b25640
|
from collections import defaultdict
class Solution:
def countPoints(self, rings: str) -> int:
l = len(rings)
d = defaultdict(list)
for i in range(1, l, 2):
d[rings[i]].append(rings[i - 1])
res = 0
for k, v in d.items():
v = "".join(v)
if set(v) == set("RGB"):
res += 1
return res
if __name__ == '__main__':
rings = "B0B6G0R6R0R6G9"
sol = Solution().countPoints
print(sol(rings))
|
[
"from collections import defaultdict\r\n\r\n\r\nclass Solution:\r\n def countPoints(self, rings: str) -> int:\r\n l = len(rings)\r\n d = defaultdict(list)\r\n for i in range(1, l, 2):\r\n d[rings[i]].append(rings[i - 1])\r\n res = 0\r\n for k, v in d.items():\r\n v = \"\".join(v)\r\n if set(v) == set(\"RGB\"):\r\n res += 1\r\n return res\r\n\r\n\r\nif __name__ == '__main__':\r\n rings = \"B0B6G0R6R0R6G9\"\r\n sol = Solution().countPoints\r\n print(sol(rings))\r\n",
"from collections import defaultdict\n\n\nclass Solution:\n\n def countPoints(self, rings: str) ->int:\n l = len(rings)\n d = defaultdict(list)\n for i in range(1, l, 2):\n d[rings[i]].append(rings[i - 1])\n res = 0\n for k, v in d.items():\n v = ''.join(v)\n if set(v) == set('RGB'):\n res += 1\n return res\n\n\nif __name__ == '__main__':\n rings = 'B0B6G0R6R0R6G9'\n sol = Solution().countPoints\n print(sol(rings))\n",
"<import token>\n\n\nclass Solution:\n\n def countPoints(self, rings: str) ->int:\n l = len(rings)\n d = defaultdict(list)\n for i in range(1, l, 2):\n d[rings[i]].append(rings[i - 1])\n res = 0\n for k, v in d.items():\n v = ''.join(v)\n if set(v) == set('RGB'):\n res += 1\n return res\n\n\nif __name__ == '__main__':\n rings = 'B0B6G0R6R0R6G9'\n sol = Solution().countPoints\n print(sol(rings))\n",
"<import token>\n\n\nclass Solution:\n\n def countPoints(self, rings: str) ->int:\n l = len(rings)\n d = defaultdict(list)\n for i in range(1, l, 2):\n d[rings[i]].append(rings[i - 1])\n res = 0\n for k, v in d.items():\n v = ''.join(v)\n if set(v) == set('RGB'):\n res += 1\n return res\n\n\n<code token>\n",
"<import token>\n\n\nclass Solution:\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<code token>\n"
] | false |
98,720 |
a683bc3d4f119427bcf42cf480cb632dd4f457a8
|
#!/usr/bin/env python
import radio_status
import subprocess
import time
import sys
# utility function to test connection to server
def ping(address):
args = ['ping', '-I', 'ppp0', '-c1', address]
f = open('/dev/null', 'w')
return (0 == subprocess.call(args, stdout=f))
if __name__ == '__main__':
radio = radio_status.gsp1720(dtr_pin=None)
(avail, rssi) = radio.is_service_available()
while not avail:
sys.stdout.write(' ' + str(rssi))
sys.stdout.flush()
time.sleep(5)
(avail, rssi) = radio.is_service_available()
print('\nservice available!')
# Wait a small amount of time before making a call, possibly the
# radio is getting messed up
(status, msg) = radio.call('777')
if status:
print('call success!')
time.sleep(0.5)
args = [ '/usr/sbin/pppd', '/dev/ttyO2', '19200', 'noauth', 'defaultroute', 'persist', 'maxfail', '0', 'crtscts', 'local' ]
subprocess.call(args)
time.sleep(10)
server_state = ping('www.google.com')
print('server state = {}'.format(server_state))
else:
print('call failed: ' + msg)
|
[
"#!/usr/bin/env python\n\nimport radio_status\nimport subprocess\nimport time\nimport sys\n\n# utility function to test connection to server\ndef ping(address):\n args = ['ping', '-I', 'ppp0', '-c1', address]\n f = open('/dev/null', 'w')\n return (0 == subprocess.call(args, stdout=f))\n\nif __name__ == '__main__':\n radio = radio_status.gsp1720(dtr_pin=None)\n (avail, rssi) = radio.is_service_available()\n while not avail:\n sys.stdout.write(' ' + str(rssi))\n sys.stdout.flush()\n time.sleep(5)\n (avail, rssi) = radio.is_service_available()\n print('\\nservice available!')\n\n # Wait a small amount of time before making a call, possibly the\n # radio is getting messed up\n (status, msg) = radio.call('777')\n if status:\n print('call success!')\n time.sleep(0.5)\n\n args = [ '/usr/sbin/pppd', '/dev/ttyO2', '19200', 'noauth', 'defaultroute', 'persist', 'maxfail', '0', 'crtscts', 'local' ]\n subprocess.call(args)\n\n time.sleep(10)\n server_state = ping('www.google.com')\n print('server state = {}'.format(server_state))\n else:\n print('call failed: ' + msg)\n\n",
"import radio_status\nimport subprocess\nimport time\nimport sys\n\n\ndef ping(address):\n args = ['ping', '-I', 'ppp0', '-c1', address]\n f = open('/dev/null', 'w')\n return 0 == subprocess.call(args, stdout=f)\n\n\nif __name__ == '__main__':\n radio = radio_status.gsp1720(dtr_pin=None)\n avail, rssi = radio.is_service_available()\n while not avail:\n sys.stdout.write(' ' + str(rssi))\n sys.stdout.flush()\n time.sleep(5)\n avail, rssi = radio.is_service_available()\n print('\\nservice available!')\n status, msg = radio.call('777')\n if status:\n print('call success!')\n time.sleep(0.5)\n args = ['/usr/sbin/pppd', '/dev/ttyO2', '19200', 'noauth',\n 'defaultroute', 'persist', 'maxfail', '0', 'crtscts', 'local']\n subprocess.call(args)\n time.sleep(10)\n server_state = ping('www.google.com')\n print('server state = {}'.format(server_state))\n else:\n print('call failed: ' + msg)\n",
"<import token>\n\n\ndef ping(address):\n args = ['ping', '-I', 'ppp0', '-c1', address]\n f = open('/dev/null', 'w')\n return 0 == subprocess.call(args, stdout=f)\n\n\nif __name__ == '__main__':\n radio = radio_status.gsp1720(dtr_pin=None)\n avail, rssi = radio.is_service_available()\n while not avail:\n sys.stdout.write(' ' + str(rssi))\n sys.stdout.flush()\n time.sleep(5)\n avail, rssi = radio.is_service_available()\n print('\\nservice available!')\n status, msg = radio.call('777')\n if status:\n print('call success!')\n time.sleep(0.5)\n args = ['/usr/sbin/pppd', '/dev/ttyO2', '19200', 'noauth',\n 'defaultroute', 'persist', 'maxfail', '0', 'crtscts', 'local']\n subprocess.call(args)\n time.sleep(10)\n server_state = ping('www.google.com')\n print('server state = {}'.format(server_state))\n else:\n print('call failed: ' + msg)\n",
"<import token>\n\n\ndef ping(address):\n args = ['ping', '-I', 'ppp0', '-c1', address]\n f = open('/dev/null', 'w')\n return 0 == subprocess.call(args, stdout=f)\n\n\n<code token>\n",
"<import token>\n<function token>\n<code token>\n"
] | false |
98,721 |
930dbf7e1c94e3703dbb768118de71da30eda0cd
|
'''
Author: Alejandro Meza Tudela
Simulate the action of taking from input
values to a vector that is declared
'''
def clean_screen():
print()
vector = list()
len_vector = (int)(input("Enter the number of elements of the vector: "))
clean_screen()
print("Now, enter the elements for the vector: ")
for i in range(len_vector):
elem = (int)(input(f"elem {i+1}: "))
vector.append(elem)
clean_screen()
print(f"The vector is {vector}")
|
[
"'''\r\nAuthor: Alejandro Meza Tudela\r\n Simulate the action of taking from input\r\n values to a vector that is declared\r\n'''\r\n\r\ndef clean_screen():\r\n print()\r\n\r\nvector = list()\r\nlen_vector = (int)(input(\"Enter the number of elements of the vector: \"))\r\nclean_screen()\r\nprint(\"Now, enter the elements for the vector: \")\r\nfor i in range(len_vector):\r\n elem = (int)(input(f\"elem {i+1}: \"))\r\n vector.append(elem)\r\nclean_screen()\r\nprint(f\"The vector is {vector}\")\r\n",
"<docstring token>\n\n\ndef clean_screen():\n print()\n\n\nvector = list()\nlen_vector = int(input('Enter the number of elements of the vector: '))\nclean_screen()\nprint('Now, enter the elements for the vector: ')\nfor i in range(len_vector):\n elem = int(input(f'elem {i + 1}: '))\n vector.append(elem)\nclean_screen()\nprint(f'The vector is {vector}')\n",
"<docstring token>\n\n\ndef clean_screen():\n print()\n\n\n<assignment token>\nclean_screen()\nprint('Now, enter the elements for the vector: ')\nfor i in range(len_vector):\n elem = int(input(f'elem {i + 1}: '))\n vector.append(elem)\nclean_screen()\nprint(f'The vector is {vector}')\n",
"<docstring token>\n\n\ndef clean_screen():\n print()\n\n\n<assignment token>\n<code token>\n",
"<docstring token>\n<function token>\n<assignment token>\n<code token>\n"
] | false |
98,722 |
fcd6e3eaf410786c0f9cb442b740ebb9aa04e4af
|
# -*- coding: utf-8 -*-
import math
class FuncionPertenencia:
def __init__(self,valor,tipo,coordenadas):
self.valor = float(valor)
self.tipo = tipo
self.coordenadas = coordenadas
def determinarFuncion(self):
if self.tipo == "Trapezoidal":
return Trapezoidal(self.valor,self.coordenadas)
if self.tipo == "Triangular":
return Triangular(self.valor,self.coordenadas)
if self.tipo == "Singleton":
return Singleton(self.valor,self.coordenadas)
if self.tipo == "Gausiana":
return Gausiana(self.valor,self.coordenadas)
if self.tipo == "Campana":
return Campana(self.valor,self.coordenadas)
if self.tipo == "Sigmoide":
return Sigmoide(self.valor,self.coordenadas)
class Trapezoidal:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a,self.b,self.c,self.d = coordenadas
self.vp = 0
def calcular(self):
if self.valor < self.a:
self.vp = 0
return self.vp
if self.a <= self.valor <= self.b:
self.vp = (self.valor - self.a) / (self.b - self.a)
return self.vp
if self.b <= self.valor <= self.c:
self.vp = 1
return self.vp
if self.c <= self.valor <= self.d:
self.vp = (self.d - self.valor) / (self.d - self.c)
return self.vp
if self.valor > self.d:
self.vp = 0
return self.vp
class Trapezoidal_Derecho:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a,self.b = coordenadas
self.vp = 0
def calcular(self):
if self.valor < self.a:
self.vp = 0
return self.vp
if self.a <= self.valor <= self.b:
self.vp = (self.valor - self.a) / (self.b - self.a)
return self.vp
if self.valor > self.b:
self.vp = 1
return self.vp
class Trapezoidal_Izquierdo:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a,self.b = coordenadas
self.vp = 0
def calcular(self):
if self.valor < self.a:
self.vp = 1
return self.vp
if self.a <= self.valor <= self.b:
self.vp = (self.b-self.valor) / (self.b - self.a)
return self.vp
if self.valor > self.b:
self.vp = 0
return self.vp
class Triangular:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a,self.b,self.c = coordenadas
self.vp = 0
def calcular(self):
if self.valor < self.a:
self.vp = 0
return self.vp
if self.a <= self.valor <= self.b:
self.vp = (self.valor - self.a) / (self.b - self.a)
return self.vp
if self.b <= self.valor <= self.c:
self.vp = (self.c - self.valor) / (self.c - self.b)
return self.vp
if self.valor > self.c:
self.vp = 0
return self.vp
class Singleton:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a = coordenadas
self.vp = 0
def calcular(self):
if self.valor == self.a:
self.vp = 1
return self.vp
else:
self.valor = 0
return self.vp
class Gausiana:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a, self.b = coordenadas
self.vp = 0
def calcular(self):
self.vp = math.exp((-1/2)*(((self.valor-self.a)/self.b)**2))
return self.vp
class Campana:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a,self.b,self.c = coordenadas
self.vp = 0
def calcular(self):
self.vp = 1 / (1 + (abs((self.valor - self.c) / self.a)**(2 * self.b)))
return self.vp
class Sigmoide:
def __init__(self,valor,coordenadas):
self.valor = valor
self.a,self.b = coordenadas
self.vp = 0
def calcular(self):
self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))
return self.vp
|
[
"# -*- coding: utf-8 -*-\nimport math\n\n\nclass FuncionPertenencia:\n\n def __init__(self,valor,tipo,coordenadas):\n self.valor = float(valor)\n self.tipo = tipo\n self.coordenadas = coordenadas\n\n def determinarFuncion(self):\n if self.tipo == \"Trapezoidal\":\n return Trapezoidal(self.valor,self.coordenadas)\n\n if self.tipo == \"Triangular\":\n return Triangular(self.valor,self.coordenadas)\n\n if self.tipo == \"Singleton\":\n return Singleton(self.valor,self.coordenadas)\n\n if self.tipo == \"Gausiana\":\n return Gausiana(self.valor,self.coordenadas)\n\n if self.tipo == \"Campana\":\n return Campana(self.valor,self.coordenadas)\n\n if self.tipo == \"Sigmoide\":\n return Sigmoide(self.valor,self.coordenadas)\n\n\nclass Trapezoidal:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a,self.b,self.c,self.d = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n\n if self.b <= self.valor <= self.c:\n self.vp = 1\n return self.vp\n\n if self.c <= self.valor <= self.d:\n self.vp = (self.d - self.valor) / (self.d - self.c)\n return self.vp\n\n if self.valor > self.d:\n self.vp = 0\n return self.vp\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a,self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a,self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n\n if self.a <= self.valor <= self.b:\n self.vp = (self.b-self.valor) / (self.b - self.a)\n return self.vp\n\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a,self.b,self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp((-1/2)*(((self.valor-self.a)/self.b)**2))\n return self.vp\n\n\nclass Campana:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a,self.b,self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + (abs((self.valor - self.c) / self.a)**(2 * self.b)))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self,valor,coordenadas):\n self.valor = valor\n self.a,self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n\n",
"import math\n\n\nclass FuncionPertenencia:\n\n def __init__(self, valor, tipo, coordenadas):\n self.valor = float(valor)\n self.tipo = tipo\n self.coordenadas = coordenadas\n\n def determinarFuncion(self):\n if self.tipo == 'Trapezoidal':\n return Trapezoidal(self.valor, self.coordenadas)\n if self.tipo == 'Triangular':\n return Triangular(self.valor, self.coordenadas)\n if self.tipo == 'Singleton':\n return Singleton(self.valor, self.coordenadas)\n if self.tipo == 'Gausiana':\n return Gausiana(self.valor, self.coordenadas)\n if self.tipo == 'Campana':\n return Campana(self.valor, self.coordenadas)\n if self.tipo == 'Sigmoide':\n return Sigmoide(self.valor, self.coordenadas)\n\n\nclass Trapezoidal:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c, self.d = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = 1\n return self.vp\n if self.c <= self.valor <= self.d:\n self.vp = (self.d - self.valor) / (self.d - self.c)\n return self.vp\n if self.valor > self.d:\n self.vp = 0\n return self.vp\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n\n\nclass FuncionPertenencia:\n\n def __init__(self, valor, tipo, coordenadas):\n self.valor = float(valor)\n self.tipo = tipo\n self.coordenadas = coordenadas\n\n def determinarFuncion(self):\n if self.tipo == 'Trapezoidal':\n return Trapezoidal(self.valor, self.coordenadas)\n if self.tipo == 'Triangular':\n return Triangular(self.valor, self.coordenadas)\n if self.tipo == 'Singleton':\n return Singleton(self.valor, self.coordenadas)\n if self.tipo == 'Gausiana':\n return Gausiana(self.valor, self.coordenadas)\n if self.tipo == 'Campana':\n return Campana(self.valor, self.coordenadas)\n if self.tipo == 'Sigmoide':\n return Sigmoide(self.valor, self.coordenadas)\n\n\nclass Trapezoidal:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c, self.d = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = 1\n return self.vp\n if self.c <= self.valor <= self.d:\n self.vp = (self.d - self.valor) / (self.d - self.c)\n return self.vp\n if self.valor > self.d:\n self.vp = 0\n return self.vp\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n\n\nclass FuncionPertenencia:\n <function token>\n\n def determinarFuncion(self):\n if self.tipo == 'Trapezoidal':\n return Trapezoidal(self.valor, self.coordenadas)\n if self.tipo == 'Triangular':\n return Triangular(self.valor, self.coordenadas)\n if self.tipo == 'Singleton':\n return Singleton(self.valor, self.coordenadas)\n if self.tipo == 'Gausiana':\n return Gausiana(self.valor, self.coordenadas)\n if self.tipo == 'Campana':\n return Campana(self.valor, self.coordenadas)\n if self.tipo == 'Sigmoide':\n return Sigmoide(self.valor, self.coordenadas)\n\n\nclass Trapezoidal:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c, self.d = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = 1\n return self.vp\n if self.c <= self.valor <= self.d:\n self.vp = (self.d - self.valor) / (self.d - self.c)\n return self.vp\n if self.valor > self.d:\n self.vp = 0\n return self.vp\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n\n\nclass FuncionPertenencia:\n <function token>\n <function token>\n\n\nclass Trapezoidal:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c, self.d = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = 1\n return self.vp\n if self.c <= self.valor <= self.d:\n self.vp = (self.d - self.valor) / (self.d - self.c)\n return self.vp\n if self.valor > self.d:\n self.vp = 0\n return self.vp\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n\n\nclass Trapezoidal:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c, self.d = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = 1\n return self.vp\n if self.c <= self.valor <= self.d:\n self.vp = (self.d - self.valor) / (self.d - self.c)\n return self.vp\n if self.valor > self.d:\n self.vp = 0\n return self.vp\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n\n\nclass Trapezoidal:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c, self.d = coordenadas\n self.vp = 0\n <function token>\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n\n\nclass Trapezoidal:\n <function token>\n <function token>\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n\n\nclass Trapezoidal_Derecho:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n\n\nclass Trapezoidal_Derecho:\n <function token>\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 1\n return self.vp\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n\n\nclass Trapezoidal_Derecho:\n <function token>\n <function token>\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 1\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.b - self.valor) / (self.b - self.a)\n return self.vp\n if self.valor > self.b:\n self.vp = 0\n return self.vp\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n\n\nclass Trapezoidal_Izquierdo:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n <function token>\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n\n\nclass Trapezoidal_Izquierdo:\n <function token>\n <function token>\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Triangular:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Triangular:\n <function token>\n\n def calcular(self):\n if self.valor < self.a:\n self.vp = 0\n return self.vp\n if self.a <= self.valor <= self.b:\n self.vp = (self.valor - self.a) / (self.b - self.a)\n return self.vp\n if self.b <= self.valor <= self.c:\n self.vp = (self.c - self.valor) / (self.c - self.b)\n return self.vp\n if self.valor > self.c:\n self.vp = 0\n return self.vp\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Triangular:\n <function token>\n <function token>\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n\n def calcular(self):\n if self.valor == self.a:\n self.vp = 1\n return self.vp\n else:\n self.valor = 0\n return self.vp\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Singleton:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a = coordenadas\n self.vp = 0\n <function token>\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Singleton:\n <function token>\n <function token>\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Gausiana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Gausiana:\n <function token>\n\n def calcular(self):\n self.vp = math.exp(-1 / 2 * ((self.valor - self.a) / self.b) ** 2)\n return self.vp\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Gausiana:\n <function token>\n <function token>\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Campana:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b, self.c = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Campana:\n <function token>\n\n def calcular(self):\n self.vp = 1 / (1 + abs((self.valor - self.c) / self.a) ** (2 * self.b))\n return self.vp\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Campana:\n <function token>\n <function token>\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Sigmoide:\n\n def __init__(self, valor, coordenadas):\n self.valor = valor\n self.a, self.b = coordenadas\n self.vp = 0\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Sigmoide:\n <function token>\n\n def calcular(self):\n self.vp = 1 / (1 + math.exp(-self.a * (self.valor - self.b)))\n return self.vp\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass Sigmoide:\n <function token>\n <function token>\n",
"<import token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n"
] | false |
98,723 |
03c9437a7b6b474d4c486970aade85e4739d1961
|
# Generated by Django 2.1.7 on 2019-02-19 14:37
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Film',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('film_title', models.CharField(max_length=200)),
('year', models.PositiveSmallIntegerField(blank=True, null=True)),
('genre', models.CharField(max_length=100)),
],
options={
'ordering': ['film_title'],
},
),
migrations.CreateModel(
name='Review',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('summary', models.TextField(null=True)),
('review', models.TextField()),
('review_film', models.ForeignKey(default=1, on_delete=django.db.models.deletion.SET_DEFAULT, to='film_info.Film')),
],
),
]
|
[
"# Generated by Django 2.1.7 on 2019-02-19 14:37\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n initial = True\n\n dependencies = [\n ]\n\n operations = [\n migrations.CreateModel(\n name='Film',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('film_title', models.CharField(max_length=200)),\n ('year', models.PositiveSmallIntegerField(blank=True, null=True)),\n ('genre', models.CharField(max_length=100)),\n ],\n options={\n 'ordering': ['film_title'],\n },\n ),\n migrations.CreateModel(\n name='Review',\n fields=[\n ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),\n ('summary', models.TextField(null=True)),\n ('review', models.TextField()),\n ('review_film', models.ForeignKey(default=1, on_delete=django.db.models.deletion.SET_DEFAULT, to='film_info.Film')),\n ],\n ),\n ]\n",
"from django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n initial = True\n dependencies = []\n operations = [migrations.CreateModel(name='Film', fields=[('id', models\n .AutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), ('film_title', models.CharField(max_length=200\n )), ('year', models.PositiveSmallIntegerField(blank=True, null=True\n )), ('genre', models.CharField(max_length=100))], options={\n 'ordering': ['film_title']}), migrations.CreateModel(name='Review',\n fields=[('id', models.AutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), ('summary', models.TextField(\n null=True)), ('review', models.TextField()), ('review_film', models\n .ForeignKey(default=1, on_delete=django.db.models.deletion.\n SET_DEFAULT, to='film_info.Film'))])]\n",
"<import token>\n\n\nclass Migration(migrations.Migration):\n initial = True\n dependencies = []\n operations = [migrations.CreateModel(name='Film', fields=[('id', models\n .AutoField(auto_created=True, primary_key=True, serialize=False,\n verbose_name='ID')), ('film_title', models.CharField(max_length=200\n )), ('year', models.PositiveSmallIntegerField(blank=True, null=True\n )), ('genre', models.CharField(max_length=100))], options={\n 'ordering': ['film_title']}), migrations.CreateModel(name='Review',\n fields=[('id', models.AutoField(auto_created=True, primary_key=True,\n serialize=False, verbose_name='ID')), ('summary', models.TextField(\n null=True)), ('review', models.TextField()), ('review_film', models\n .ForeignKey(default=1, on_delete=django.db.models.deletion.\n SET_DEFAULT, to='film_info.Film'))])]\n",
"<import token>\n\n\nclass Migration(migrations.Migration):\n <assignment token>\n <assignment token>\n <assignment token>\n",
"<import token>\n<class token>\n"
] | false |
98,724 |
d4ff49f491a986503a0afd50aeb1ac2144e35f4e
|
#!/usr/bin/env python
import rospy
from std_msgs.msg import Int16
from sensor_msgs.msg import Joy
# Base on the joystick code by Author: Andrew Dai but converted for my purpose
# This ROS Node converts Joystick inputs from the joy node
# into commands for the motors
# Receives joystick messages (subscribed to Joy topic) then converts that to
# Int16 messages to the topics for: left_motor_effort and right_motor_effort.
# Then will take the value passed in by the joystick left thumbstick up and down (index 1) and
# and the value passed in by the joystick right thumbstick left and right (index 2) and
# shift the values right by 7. Doing this because the numbers coming in are 16 bit signed and
# the desired output is an 9 bit signed number. The output to the motor is actually an 8 bit
# unsigned number but I am using the nineth bit for the desired direction and converting
# it on the Mega. Shifting the number to the left effectively spreading the value over the integer
# range -255 to +255. This value will be added to the obosite side and subtracted from the same
# side so the vehicle will turn even if no value is applied to the left thumbstick. An example
# of the operation being a desired right turn, the thumbstick applied and the value is subtracted # from the right motor rotating it backward and the value will be added to the left motor rotating # it forward allowing for a right turn. If the vehicle is already in motion and the value is
# applied then the same thing will happen only now they will no longer be adding or subtracting
# from zero but rather the left thumbstick value. This shows that each right value with just
# subtract or add to the left value.
def callback(data):
# the left thumb value is the up or down value read from the controller
left_thumb_value = 100*data.axes[1]
# the right thumb value is the left right value.
right_thumb_value = 100*data.axes[2]
# right motor command value
right_motor_command = 0
# left motor command value
left_motor_command = 0
# minimum value to turn on
mc = 20
# checking to see if the left thumbstick is up or down
if left_thumb_value < -mc:
right_motor_command = int(left_thumb_value - right_thumb_value)
left_motor_command = int(left_thumb_value + right_thumb_value)
elif left_thumb_value > mc:
right_motor_command = int(left_thumb_value + right_thumb_value)
left_motor_command = int(left_thumb_value - right_thumb_value)
else:
right_motor_command = 0
left_motor_command = 0
left_motor.publish(left_motor_command)
right_motor.publish(right_motor_command)
# Intializes everything
def start():
# publishing to the left motor and the right motor
global left_motor
global right_motor
left_motor = rospy.Publisher('left_motor_effort', Int16, queue_size=10)
right_motor = rospy.Publisher('right_motor_effort', Int16, queue_size=10)
# subscribing to the joystick inputs on topic "joy" to get inputs from the controller
rospy.Subscriber("joy", Joy, callback)
# starting the node
rospy.init_node('Joy2Turtle')
rospy.spin()
if __name__ == '__main__':
start()
|
[
"#!/usr/bin/env python\nimport rospy\nfrom std_msgs.msg import Int16\nfrom sensor_msgs.msg import Joy\n\n# Base on the joystick code by Author: Andrew Dai but converted for my purpose\n# This ROS Node converts Joystick inputs from the joy node\n# into commands for the motors\n\n# Receives joystick messages (subscribed to Joy topic) then converts that to \n# Int16 messages to the topics for: left_motor_effort and right_motor_effort.\n# Then will take the value passed in by the joystick left thumbstick up and down (index 1) and \n# and the value passed in by the joystick right thumbstick left and right (index 2) and \n# shift the values right by 7. Doing this because the numbers coming in are 16 bit signed and \n# the desired output is an 9 bit signed number. The output to the motor is actually an 8 bit \n# unsigned number but I am using the nineth bit for the desired direction and converting \n# it on the Mega. Shifting the number to the left effectively spreading the value over the integer \n# range -255 to +255. This value will be added to the obosite side and subtracted from the same \n# side so the vehicle will turn even if no value is applied to the left thumbstick. An example \n# of the operation being a desired right turn, the thumbstick applied and the value is subtracted # from the right motor rotating it backward and the value will be added to the left motor rotating # it forward allowing for a right turn. If the vehicle is already in motion and the value is \n# applied then the same thing will happen only now they will no longer be adding or subtracting \n# from zero but rather the left thumbstick value. This shows that each right value with just \n# subtract or add to the left value.\n\ndef callback(data):\n # the left thumb value is the up or down value read from the controller\n left_thumb_value = 100*data.axes[1]\n # the right thumb value is the left right value.\n right_thumb_value = 100*data.axes[2]\n # right motor command value\n right_motor_command = 0\n # left motor command value\n left_motor_command = 0\n # minimum value to turn on\n mc = 20\n\n # checking to see if the left thumbstick is up or down\n if left_thumb_value < -mc:\n right_motor_command = int(left_thumb_value - right_thumb_value)\n left_motor_command = int(left_thumb_value + right_thumb_value)\n\n elif left_thumb_value > mc:\n right_motor_command = int(left_thumb_value + right_thumb_value)\n left_motor_command = int(left_thumb_value - right_thumb_value)\n\n else:\n right_motor_command = 0\n left_motor_command = 0\n \n \n left_motor.publish(left_motor_command)\n right_motor.publish(right_motor_command)\n\n# Intializes everything\ndef start():\n # publishing to the left motor and the right motor\n global left_motor\n global right_motor\n \n left_motor = rospy.Publisher('left_motor_effort', Int16, queue_size=10)\n right_motor = rospy.Publisher('right_motor_effort', Int16, queue_size=10)\n \n # subscribing to the joystick inputs on topic \"joy\" to get inputs from the controller\n rospy.Subscriber(\"joy\", Joy, callback)\n # starting the node \n rospy.init_node('Joy2Turtle')\n rospy.spin()\n\nif __name__ == '__main__':\n start()\n\n",
"import rospy\nfrom std_msgs.msg import Int16\nfrom sensor_msgs.msg import Joy\n\n\ndef callback(data):\n left_thumb_value = 100 * data.axes[1]\n right_thumb_value = 100 * data.axes[2]\n right_motor_command = 0\n left_motor_command = 0\n mc = 20\n if left_thumb_value < -mc:\n right_motor_command = int(left_thumb_value - right_thumb_value)\n left_motor_command = int(left_thumb_value + right_thumb_value)\n elif left_thumb_value > mc:\n right_motor_command = int(left_thumb_value + right_thumb_value)\n left_motor_command = int(left_thumb_value - right_thumb_value)\n else:\n right_motor_command = 0\n left_motor_command = 0\n left_motor.publish(left_motor_command)\n right_motor.publish(right_motor_command)\n\n\ndef start():\n global left_motor\n global right_motor\n left_motor = rospy.Publisher('left_motor_effort', Int16, queue_size=10)\n right_motor = rospy.Publisher('right_motor_effort', Int16, queue_size=10)\n rospy.Subscriber('joy', Joy, callback)\n rospy.init_node('Joy2Turtle')\n rospy.spin()\n\n\nif __name__ == '__main__':\n start()\n",
"<import token>\n\n\ndef callback(data):\n left_thumb_value = 100 * data.axes[1]\n right_thumb_value = 100 * data.axes[2]\n right_motor_command = 0\n left_motor_command = 0\n mc = 20\n if left_thumb_value < -mc:\n right_motor_command = int(left_thumb_value - right_thumb_value)\n left_motor_command = int(left_thumb_value + right_thumb_value)\n elif left_thumb_value > mc:\n right_motor_command = int(left_thumb_value + right_thumb_value)\n left_motor_command = int(left_thumb_value - right_thumb_value)\n else:\n right_motor_command = 0\n left_motor_command = 0\n left_motor.publish(left_motor_command)\n right_motor.publish(right_motor_command)\n\n\ndef start():\n global left_motor\n global right_motor\n left_motor = rospy.Publisher('left_motor_effort', Int16, queue_size=10)\n right_motor = rospy.Publisher('right_motor_effort', Int16, queue_size=10)\n rospy.Subscriber('joy', Joy, callback)\n rospy.init_node('Joy2Turtle')\n rospy.spin()\n\n\nif __name__ == '__main__':\n start()\n",
"<import token>\n\n\ndef callback(data):\n left_thumb_value = 100 * data.axes[1]\n right_thumb_value = 100 * data.axes[2]\n right_motor_command = 0\n left_motor_command = 0\n mc = 20\n if left_thumb_value < -mc:\n right_motor_command = int(left_thumb_value - right_thumb_value)\n left_motor_command = int(left_thumb_value + right_thumb_value)\n elif left_thumb_value > mc:\n right_motor_command = int(left_thumb_value + right_thumb_value)\n left_motor_command = int(left_thumb_value - right_thumb_value)\n else:\n right_motor_command = 0\n left_motor_command = 0\n left_motor.publish(left_motor_command)\n right_motor.publish(right_motor_command)\n\n\ndef start():\n global left_motor\n global right_motor\n left_motor = rospy.Publisher('left_motor_effort', Int16, queue_size=10)\n right_motor = rospy.Publisher('right_motor_effort', Int16, queue_size=10)\n rospy.Subscriber('joy', Joy, callback)\n rospy.init_node('Joy2Turtle')\n rospy.spin()\n\n\n<code token>\n",
"<import token>\n\n\ndef callback(data):\n left_thumb_value = 100 * data.axes[1]\n right_thumb_value = 100 * data.axes[2]\n right_motor_command = 0\n left_motor_command = 0\n mc = 20\n if left_thumb_value < -mc:\n right_motor_command = int(left_thumb_value - right_thumb_value)\n left_motor_command = int(left_thumb_value + right_thumb_value)\n elif left_thumb_value > mc:\n right_motor_command = int(left_thumb_value + right_thumb_value)\n left_motor_command = int(left_thumb_value - right_thumb_value)\n else:\n right_motor_command = 0\n left_motor_command = 0\n left_motor.publish(left_motor_command)\n right_motor.publish(right_motor_command)\n\n\n<function token>\n<code token>\n",
"<import token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,725 |
8afc3e942b93d7d9b8565041685dfea6179ca16e
|
from text_parser import *
from lmfit import Model
import os
dir_path = './2020_03_18'
CDBS_files = glob.glob(os.path.join(dir_path, "*CDBS*.asc"))
file_name = []
DBS_matrix = {}
CDBS_matrix = {}
label_list = ['sample A', 'sample B', 'sample 1', 'sample 2', 'sample 3']
width = 30
gmodel = Model(gaussian)
linestyle = ['s', 'o', '^', '.', '-.', ':', '--']
for n, file in enumerate(CDBS_files):
basename = os.path.basename(file)
file_name.append(basename)
f = open(file, 'r')
lines = f.readlines()
CDBS_data = []
for i in range(1024):
count = lines[i+23].split(",")
count = list(map(int, count))
del count[0]
CDBS_data.append(count)
DBS_matrix[basename] = np.array(CDBS_data, dtype=float)
rot_matrix = ndimage.rotate(np.array(CDBS_data, dtype=float), -45)
CDBS_matrix[basename] = ndimage.zoom(rot_matrix, 1 / np.sqrt(2))
x, y, max_point = find_sudo_peak(DBS_matrix[basename], width=width)
x_CDBS, y_CDBS, max_point_CBDS = find_sudo_peak(CDBS_matrix[basename], width=width)
# plt.plot(x, np.divide(y, AUC), '.', label=basename)
params = gmodel.make_params(cen=max_point[1], amp=np.max(y) * (np.sqrt(2 * np.pi) * width / 2), wid=width / 2)
result = gmodel.fit(y, params, x=x)
AUC = integrate.simps(result.best_fit, x)
x_adj = np.add(0.134*np.subtract(x, max_point[1]), 511)
print(result.best_values['wid'])
plt.plot(x_adj, np.divide(y, AUC), linestyle[n], label=label_list[n])
######################################################################
params_CDBS = gmodel.make_params(cen=max_point_CBDS[1], amp=np.max(y_CDBS) * (np.sqrt(2 * np.pi) * width / 2),
wid=width / 2)
result_CDBS = gmodel.fit(y_CDBS, params_CDBS, x=x_CDBS)
AUC_CDBS = integrate.simps(result_CDBS.best_fit, x_CDBS)
x_adj_CDBS = np.add(0.134 * np.subtract(x_CDBS, max_point_CBDS[1]), 511)
print(result_CDBS.best_values['wid'])
plt.plot(x_adj_CDBS, np.divide(y_CDBS, AUC_CDBS), linestyle[n], label=label_list[n]+'CDBS')
# x_hr = np.linspace(x[0], x[-1], 10*len(x))
# y_hr = gaussian(x_hr, cen=result.best_values['cen'], amp=result.best_values['amp'], wid=result.best_values['wid'])
# plt.plot(x_hr, y_hr, '-')
margin = 0.06
plt.xlim(x_adj_CDBS[0]-margin, 515)
plt.yscale('log')
plt.xlabel("Energy (keV)")
plt.ylabel("Counts (A.U.)")
plt.legend(loc='best')
plt.show()
|
[
"from text_parser import *\nfrom lmfit import Model\nimport os\n\ndir_path = './2020_03_18'\nCDBS_files = glob.glob(os.path.join(dir_path, \"*CDBS*.asc\"))\nfile_name = []\nDBS_matrix = {}\nCDBS_matrix = {}\nlabel_list = ['sample A', 'sample B', 'sample 1', 'sample 2', 'sample 3']\n\nwidth = 30\ngmodel = Model(gaussian)\n\n\nlinestyle = ['s', 'o', '^', '.', '-.', ':', '--']\n\nfor n, file in enumerate(CDBS_files):\n basename = os.path.basename(file)\n file_name.append(basename)\n f = open(file, 'r')\n lines = f.readlines()\n CDBS_data = []\n for i in range(1024):\n count = lines[i+23].split(\",\")\n count = list(map(int, count))\n del count[0]\n CDBS_data.append(count)\n DBS_matrix[basename] = np.array(CDBS_data, dtype=float)\n rot_matrix = ndimage.rotate(np.array(CDBS_data, dtype=float), -45)\n CDBS_matrix[basename] = ndimage.zoom(rot_matrix, 1 / np.sqrt(2))\n\n x, y, max_point = find_sudo_peak(DBS_matrix[basename], width=width)\n x_CDBS, y_CDBS, max_point_CBDS = find_sudo_peak(CDBS_matrix[basename], width=width)\n\n # plt.plot(x, np.divide(y, AUC), '.', label=basename)\n\n params = gmodel.make_params(cen=max_point[1], amp=np.max(y) * (np.sqrt(2 * np.pi) * width / 2), wid=width / 2)\n result = gmodel.fit(y, params, x=x)\n AUC = integrate.simps(result.best_fit, x)\n\n x_adj = np.add(0.134*np.subtract(x, max_point[1]), 511)\n print(result.best_values['wid'])\n plt.plot(x_adj, np.divide(y, AUC), linestyle[n], label=label_list[n])\n######################################################################\n params_CDBS = gmodel.make_params(cen=max_point_CBDS[1], amp=np.max(y_CDBS) * (np.sqrt(2 * np.pi) * width / 2),\n wid=width / 2)\n result_CDBS = gmodel.fit(y_CDBS, params_CDBS, x=x_CDBS)\n AUC_CDBS = integrate.simps(result_CDBS.best_fit, x_CDBS)\n\n x_adj_CDBS = np.add(0.134 * np.subtract(x_CDBS, max_point_CBDS[1]), 511)\n print(result_CDBS.best_values['wid'])\n plt.plot(x_adj_CDBS, np.divide(y_CDBS, AUC_CDBS), linestyle[n], label=label_list[n]+'CDBS')\n # x_hr = np.linspace(x[0], x[-1], 10*len(x))\n # y_hr = gaussian(x_hr, cen=result.best_values['cen'], amp=result.best_values['amp'], wid=result.best_values['wid'])\n # plt.plot(x_hr, y_hr, '-')\n\nmargin = 0.06\nplt.xlim(x_adj_CDBS[0]-margin, 515)\nplt.yscale('log')\nplt.xlabel(\"Energy (keV)\")\nplt.ylabel(\"Counts (A.U.)\")\nplt.legend(loc='best')\nplt.show()\n\n",
"from text_parser import *\nfrom lmfit import Model\nimport os\ndir_path = './2020_03_18'\nCDBS_files = glob.glob(os.path.join(dir_path, '*CDBS*.asc'))\nfile_name = []\nDBS_matrix = {}\nCDBS_matrix = {}\nlabel_list = ['sample A', 'sample B', 'sample 1', 'sample 2', 'sample 3']\nwidth = 30\ngmodel = Model(gaussian)\nlinestyle = ['s', 'o', '^', '.', '-.', ':', '--']\nfor n, file in enumerate(CDBS_files):\n basename = os.path.basename(file)\n file_name.append(basename)\n f = open(file, 'r')\n lines = f.readlines()\n CDBS_data = []\n for i in range(1024):\n count = lines[i + 23].split(',')\n count = list(map(int, count))\n del count[0]\n CDBS_data.append(count)\n DBS_matrix[basename] = np.array(CDBS_data, dtype=float)\n rot_matrix = ndimage.rotate(np.array(CDBS_data, dtype=float), -45)\n CDBS_matrix[basename] = ndimage.zoom(rot_matrix, 1 / np.sqrt(2))\n x, y, max_point = find_sudo_peak(DBS_matrix[basename], width=width)\n x_CDBS, y_CDBS, max_point_CBDS = find_sudo_peak(CDBS_matrix[basename],\n width=width)\n params = gmodel.make_params(cen=max_point[1], amp=np.max(y) * (np.sqrt(\n 2 * np.pi) * width / 2), wid=width / 2)\n result = gmodel.fit(y, params, x=x)\n AUC = integrate.simps(result.best_fit, x)\n x_adj = np.add(0.134 * np.subtract(x, max_point[1]), 511)\n print(result.best_values['wid'])\n plt.plot(x_adj, np.divide(y, AUC), linestyle[n], label=label_list[n])\n params_CDBS = gmodel.make_params(cen=max_point_CBDS[1], amp=np.max(\n y_CDBS) * (np.sqrt(2 * np.pi) * width / 2), wid=width / 2)\n result_CDBS = gmodel.fit(y_CDBS, params_CDBS, x=x_CDBS)\n AUC_CDBS = integrate.simps(result_CDBS.best_fit, x_CDBS)\n x_adj_CDBS = np.add(0.134 * np.subtract(x_CDBS, max_point_CBDS[1]), 511)\n print(result_CDBS.best_values['wid'])\n plt.plot(x_adj_CDBS, np.divide(y_CDBS, AUC_CDBS), linestyle[n], label=\n label_list[n] + 'CDBS')\nmargin = 0.06\nplt.xlim(x_adj_CDBS[0] - margin, 515)\nplt.yscale('log')\nplt.xlabel('Energy (keV)')\nplt.ylabel('Counts (A.U.)')\nplt.legend(loc='best')\nplt.show()\n",
"<import token>\ndir_path = './2020_03_18'\nCDBS_files = glob.glob(os.path.join(dir_path, '*CDBS*.asc'))\nfile_name = []\nDBS_matrix = {}\nCDBS_matrix = {}\nlabel_list = ['sample A', 'sample B', 'sample 1', 'sample 2', 'sample 3']\nwidth = 30\ngmodel = Model(gaussian)\nlinestyle = ['s', 'o', '^', '.', '-.', ':', '--']\nfor n, file in enumerate(CDBS_files):\n basename = os.path.basename(file)\n file_name.append(basename)\n f = open(file, 'r')\n lines = f.readlines()\n CDBS_data = []\n for i in range(1024):\n count = lines[i + 23].split(',')\n count = list(map(int, count))\n del count[0]\n CDBS_data.append(count)\n DBS_matrix[basename] = np.array(CDBS_data, dtype=float)\n rot_matrix = ndimage.rotate(np.array(CDBS_data, dtype=float), -45)\n CDBS_matrix[basename] = ndimage.zoom(rot_matrix, 1 / np.sqrt(2))\n x, y, max_point = find_sudo_peak(DBS_matrix[basename], width=width)\n x_CDBS, y_CDBS, max_point_CBDS = find_sudo_peak(CDBS_matrix[basename],\n width=width)\n params = gmodel.make_params(cen=max_point[1], amp=np.max(y) * (np.sqrt(\n 2 * np.pi) * width / 2), wid=width / 2)\n result = gmodel.fit(y, params, x=x)\n AUC = integrate.simps(result.best_fit, x)\n x_adj = np.add(0.134 * np.subtract(x, max_point[1]), 511)\n print(result.best_values['wid'])\n plt.plot(x_adj, np.divide(y, AUC), linestyle[n], label=label_list[n])\n params_CDBS = gmodel.make_params(cen=max_point_CBDS[1], amp=np.max(\n y_CDBS) * (np.sqrt(2 * np.pi) * width / 2), wid=width / 2)\n result_CDBS = gmodel.fit(y_CDBS, params_CDBS, x=x_CDBS)\n AUC_CDBS = integrate.simps(result_CDBS.best_fit, x_CDBS)\n x_adj_CDBS = np.add(0.134 * np.subtract(x_CDBS, max_point_CBDS[1]), 511)\n print(result_CDBS.best_values['wid'])\n plt.plot(x_adj_CDBS, np.divide(y_CDBS, AUC_CDBS), linestyle[n], label=\n label_list[n] + 'CDBS')\nmargin = 0.06\nplt.xlim(x_adj_CDBS[0] - margin, 515)\nplt.yscale('log')\nplt.xlabel('Energy (keV)')\nplt.ylabel('Counts (A.U.)')\nplt.legend(loc='best')\nplt.show()\n",
"<import token>\n<assignment token>\nfor n, file in enumerate(CDBS_files):\n basename = os.path.basename(file)\n file_name.append(basename)\n f = open(file, 'r')\n lines = f.readlines()\n CDBS_data = []\n for i in range(1024):\n count = lines[i + 23].split(',')\n count = list(map(int, count))\n del count[0]\n CDBS_data.append(count)\n DBS_matrix[basename] = np.array(CDBS_data, dtype=float)\n rot_matrix = ndimage.rotate(np.array(CDBS_data, dtype=float), -45)\n CDBS_matrix[basename] = ndimage.zoom(rot_matrix, 1 / np.sqrt(2))\n x, y, max_point = find_sudo_peak(DBS_matrix[basename], width=width)\n x_CDBS, y_CDBS, max_point_CBDS = find_sudo_peak(CDBS_matrix[basename],\n width=width)\n params = gmodel.make_params(cen=max_point[1], amp=np.max(y) * (np.sqrt(\n 2 * np.pi) * width / 2), wid=width / 2)\n result = gmodel.fit(y, params, x=x)\n AUC = integrate.simps(result.best_fit, x)\n x_adj = np.add(0.134 * np.subtract(x, max_point[1]), 511)\n print(result.best_values['wid'])\n plt.plot(x_adj, np.divide(y, AUC), linestyle[n], label=label_list[n])\n params_CDBS = gmodel.make_params(cen=max_point_CBDS[1], amp=np.max(\n y_CDBS) * (np.sqrt(2 * np.pi) * width / 2), wid=width / 2)\n result_CDBS = gmodel.fit(y_CDBS, params_CDBS, x=x_CDBS)\n AUC_CDBS = integrate.simps(result_CDBS.best_fit, x_CDBS)\n x_adj_CDBS = np.add(0.134 * np.subtract(x_CDBS, max_point_CBDS[1]), 511)\n print(result_CDBS.best_values['wid'])\n plt.plot(x_adj_CDBS, np.divide(y_CDBS, AUC_CDBS), linestyle[n], label=\n label_list[n] + 'CDBS')\n<assignment token>\nplt.xlim(x_adj_CDBS[0] - margin, 515)\nplt.yscale('log')\nplt.xlabel('Energy (keV)')\nplt.ylabel('Counts (A.U.)')\nplt.legend(loc='best')\nplt.show()\n",
"<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,726 |
f9f1ce8f646990cbe0a34883db41b080c3896081
|
"""TTAccount.py is for communicating with account servers"""
from pandac.PandaModules import *
from pandac.PandaModules import *
from direct.directnotify import DirectNotifyGlobal
from direct.showbase import PythonUtil
from otp.otpbase import OTPLocalizer
import HTTPUtil
import RemoteValueSet
import copy
accountServer = ''
accountServer = launcher.getAccountServer()
print "TTAccount: accountServer from launcher: ", (accountServer)
configAccountServer = base.config.GetString('account-server', '')
if configAccountServer:
accountServer = configAccountServer
print "TTAccount: overriding accountServer from config: ", (accountServer)
if not accountServer:
accountServer = "https://toontown.go.com"
print "TTAccount: default accountServer: ", (accountServer)
accountServer = URLSpec(accountServer, 1)
def getAccountServer():
return accountServer
# TTAccount only raises HTTPUtil exceptions; rename the base
# exception for easy/handsome client exception catching
TTAccountException = HTTPUtil.HTTPUtilException
class TTAccount:
notify = DirectNotifyGlobal.directNotify.newCategory("TTAccount")
def __init__(self, cr):
self.cr = cr
self.response = None
"""
UNLESS OTHERWISE SPECIFIED,
these functions return None on success,
return an error string on 'normal' failure,
and raise a TTAccountException on connection problem, bad response, etc.
"""
def createAccount(self, loginName, password, data):
"""
Ask the account server to create a new account.
see talk() for list of required fields in 'data' dict
see above for return values
"""
return self.talk('create',
data=self.__makeLoginDict(loginName, password, data))
def authorize(self, loginName, password):
"""
Ask the account server to give us a play token.
see above for return values
"""
return self.talk('play', data=self.__makeLoginDict(loginName, password))
def createBilling(self, loginName, password, data):
"""
Start paying using a credit card.
see talk() for list of required fields in 'data' dict
see above for return values
"""
return self.talk('purchase',
data=self.__makeLoginDict(loginName, password, data))
def setParentPassword(self, loginName, password, parentPassword):
"""
set the parent password
see above for return values
"""
return self.talk(
'setParentPassword',
data=self.__makeLoginDict(loginName, password,
{'parentPassword': parentPassword}))
def supportsParentPassword(self):
"""Returns true if authenticateParentPassword is implemented
and meaningful for this type of account system."""
return 1
def authenticateParentPassword(self, loginName,
password, parentPassword):
"""
try to authenticate the parent password
NOTE: this does not actually set any state on the account,
it just tests a parent password
returns (int success, string error)
you will get:
(1, None) --> success, password cleared
(0, None) --> failure, password did not clear
(0, '<some message>') --> failure, but not due to bad password,
error msg explains what the problem is
this function will never intentionally raise an exception
"""
try:
errorMsg = self.talk(
'authenticateParentPassword',
data=self.__makeLoginDict(loginName, parentPassword))
if not errorMsg:
return (1, None)
# we got an error message; check to see if it's the
# 'wrong password' error
if self.response.getInt('errorCode') in (5, 72):
return (0, None)
# some other error, pass it back
return (0, errorMsg)
except TTAccountException, e:
# connection error, bad response, etc.
# pass it back
return (0, str(e))
def supportsAuthenticateDelete(self):
""" Returns true if authenticateDelete is implemented
for this type of account system """
return 1
def authenticateDelete(self, loginName, password):
"""
authenticate the deletion of a toon
password can be either the login or parent password
NOTE: this does not actually set any state on the account,
it just authenticates the password
returns (int success, string error)
you will get:
(1, None) --> success, password cleared
(0, None) --> failure, password did not clear
(0, '<some message>') --> failure, but not due to bad password,
error msg explains what the problem is
this function will never intentionally raise an exception
"""
try:
errorMsg = self.talk(
'authenticateDelete',
data=self.__makeLoginDict(loginName, password))
if not errorMsg:
return (1, None)
# we got an error message; check to see if it's the
# 'wrong password' error
if self.response.getInt('errorCode') in (5, 72):
return (0, None)
# some other error, pass it back
return (0, errorMsg)
except TTAccountException, e:
# connection error, bad response, etc.
# pass it back
return (0, str(e))
def enableSecretFriends(self, loginName, password,
parentPassword, enable=1):
"""
attempt to enable secret friends
returns (int success, string error)
you will get:
(1, None) --> success, password cleared, operation gperformed
(0, None) --> failure, password did not clear, operation not performed
(0, '<some message>') --> failure, but not due to bad password,
error msg explains what the problem is
this function will never intentionally raise an exception
"""
try:
errorMsg = self.talk(
'setSecretChat',
data=self.__makeLoginDict(loginName, parentPassword,
{'chat': base.cr.secretChatAllowed,
'secretsNeedParentPassword': base.cr.secretChatNeedsParentPassword}
)
)
if not errorMsg:
return (1, None)
# we got an error message; check to see if it's the
# 'wrong password' error
if self.response.getInt('errorCode') in (5, 72):
return (0, None)
# some other error, pass it back
return (0, errorMsg)
except TTAccountException, e:
# connection error, bad response, etc.
# pass it back
return (0, str(e))
def changePassword(self, loginName, password, newPassword):
"""
change password to newPassword
see above for return values
"""
return self.talk(
'purchase',
data=self.__makeLoginDict(loginName, password,
{'newPassword': newPassword}))
def requestPwdReminder(self, email=None, acctName=None):
"""
request an email with the password(s)
will be sent to the parent/billing email address
pass email OR acctName
see above for return values
"""
assert acctName or email
assert not (acctName and email)
data = {}
if email is not None:
data['email'] = email
else:
data['accountName'] = acctName
return self.talk('forgotPassword', data)
def cancelAccount(self, loginName, password):
"""
Stop paying.
see above for return values
"""
return self.talk('cancel',
data=self.__makeLoginDict(loginName, password))
def getAccountData(self, loginName, password):
"""
retrieves account fields for a specific account
all field values are strings
on success, account data is available in self.accountData dictionary
see above for return values
"""
errorMsg = self.talk(
'get',
data=self.__makeLoginDict(loginName, password))
# if there was an error msg from the server, return it
if errorMsg:
self.notify.warning('getAccountData error: %s' % errorMsg)
return errorMsg
# TODO: check that we got all the expected fields
# if there's an error field, print it out
if self.response.hasKey('errorMsg'):
self.notify.warning("error field is: '%s'" %
self.response.getString('errorMsg'))
# make an independent copy of the raw result dictionary
self.accountData = copy.deepcopy(self.response)
fieldNameMap = {
'em': 'email',
'l1': 'addr1',
'l2': 'addr2',
'l3': 'addr3',
}
# rename some fields
dict = self.accountData.dict
for fieldName in dict.keys():
if fieldNameMap.has_key(fieldName):
dict[fieldNameMap[fieldName]] = dict[fieldName]
del dict[fieldName]
return None
def getLastErrorMsg(self, forceCustServNum=0):
""" call this function if you need to show the customer
service # unconditionally on all errors, or if you
have a threshold condition beyond which the CS # should
always be included.
For error codes >= 100, we always add the CS #. It might
be simpler for the server to add it, but that would waste
bandwidth.
"""
assert self.response.hasKey('errorCode')
assert self.response.hasKey('errorMsg')
errCode = self.response.getInt('errorCode')
if errCode < 100:
# these are 'user-fixable' problems
# don't show customer service number if
# suppress flag is true
msg = self.response.getString('errorMsg')
if forceCustServNum:
# put up an 'if you need help, call...' msg
msg += (' ' + OTPLocalizer.TTAccountCustomerServiceHelp %
self.cr.accountServerConstants.getString('customerServicePhoneNumber'))
elif errCode < 200:
# these are non-user fixable, but it's useful
# for the user to see what the error is
msg = self.response.getString('errorMsg')
msg += (' ' + OTPLocalizer.TTAccountCustomerServiceHelp %
self.cr.accountServerConstants.getString('customerServicePhoneNumber'))
elif errCode >= 500:
# these are non-user fixable, and there's no
# useful information that we can give to the user
msg = OTPLocalizer.TTAccountIntractibleError
msg += (' ' + OTPLocalizer.TTAccountCallCustomerService %
self.cr.accountServerConstants.getString('customerServicePhoneNumber'))
else:
# don't know what this range of errors is all about...
# log a warning...
self.notify.warning("unknown error code class: %s: %s" %
(self.response.getInt('errorCode'),
self.response.getString('errorMsg')))
# and pass on the server's error msg, with the Cust. Serv. #
msg = self.response.getString('errorMsg')
msg += (' ' + OTPLocalizer.TTAccountCallCustomerService %
self.cr.accountServerConstants.getString('customerServicePhoneNumber'))
return msg
def __makeLoginDict(self, loginName, password, data=None):
""" many of the TTAccount API functions accept
a login and password separately from the dict
of data fields; this function puts the login
and password into a dict, the way talk() wants
it """
dict = {
'accountName': loginName,
'password': password
}
if data:
dict.update(data)
return dict
def makeLoginDict(self, loginName, password, data=None):
return self.__makeLoginDict(loginName, password,data)
def talk(self, operation, data={}):
"""
A utility function used by other members of this class.
returns:
None: no error
string: user error msg (bad password...)
raises TTAccountException on connection failure, etc.
"""
self.notify.debug("TTAccount.talk()")
# ensure that data contains nothing but strings
for key in data.keys():
data[key] = str(data[key])
# assert that 'data' contains all the required data
if operation in ('play', 'get', 'cancel',
'authenticateParentPassword',
'authenticateDelete',
'authenticateParentPasswordNewStyle',
'authenticateDeleteNewStyle'):
assert PythonUtil.contains(
data.keys(),
('accountName',
'password'))
elif operation == 'authenticateParentUsernameAndPassword':
assert PythonUtil.contains(
data.keys(),
('accountName',
'parentUsername',
'parentPasswordNewStyle',
'userid'))
elif operation == 'forgotPassword':
assert data.has_key('accountName') or data.has_key('email')
elif operation == 'setParentPassword':
assert PythonUtil.contains(
data.keys(),
('accountName',
'password',
'parentPassword',))
elif operation == 'setSecretChat':
assert PythonUtil.contains(
data.keys(),
('accountName',
'password',
'chat',))
elif operation == 'create':
assert PythonUtil.contains(
data.keys(),
('accountName',
'password',
#'dobYear',
#'dobMonth',
#'dobDay',
#'email',
#'referrer',
))
elif operation == 'purchase':
# is this a password change or a purchase op?
if data.has_key('newPassword'):
assert PythonUtil.contains(
data.keys(),
('accountName',
'password'))
else:
assert PythonUtil.contains(
data.keys(),
('accountName',
'password',
'email',
#'dobMonth',
#'dobYear',
'ccType',
'ccNumber',
'ccMonth',
'ccYear',
'nameOnCard',
'addr1',
'addr2',
'city',
'state',
'country',
'zip'))
else:
self.notify.error('Internal TTAccount error: need to add '
'\'required data\' checking for %s operation' %
operation)
# map operations to php pages
op2Php = {
'play': 'play',
'get': 'get',
'cancel': 'cancel',
'create': 'create',
'purchase': 'purchase',
'setParentPassword': 'setSecrets',
'authenticateParentPassword': 'authenticateChat',
'authenticateDelete': 'authDelete',
'setSecretChat': 'setChat',
'forgotPassword': 'forgotPw',
# these last 3 are exclusive to the redesigned web site
'authenticateParentPasswordNewStyle' : 'api/authChat',
'authenticateParentUsernameAndPassword' : 'api/authParentChat',
'authenticateDeleteNewStyle' : 'api/authDelete',
}
newWebOperations = ('authenticateParentPasswordNewStyle',
'authenticateParentUsernameAndPassword',
'authenticateDeleteNewStyle')
url = URLSpec(getAccountServer())
if operation in newWebOperations :
url.setPath('/%s' % (op2Php[operation]))
else:
url.setPath('/%s.php' % (op2Php[operation]))
body = ''
if data.has_key('accountName'):
if operation not in newWebOperations:
# name is put on url for documentation only
url.setQuery('n=%s' % (URLSpec.quote(data['accountName'])))
serverFields = {
# map: local field name --> server field name
'accountName': 'n', # accountName
'password': 'p', # accountPassword
'parentPassword': 'sp',# parent password
'newPassword': 'np', # new password for password change
'chat': 'chat', # chat enable flag
'email': 'em', # email address
'dobYear': 'doby', # date of birth year
'dobMonth': 'dobm', # date of birth month
'dobDay': 'dobd', # date of birth day
'ccNumber': 'ccn', # credit card number
'ccMonth': 'ccm', # credit card expiration month (1==January)
'ccYear': 'ccy', # credit card expiration year
'nameOnCard': 'noc', # NameOnCard, the credit card owner
'addr1': 'l1', # Address line 1
'addr2': 'l2', # Address line 2
'addr3': 'l3', # Address line 3
'city': 'city', # Billing address city
'state': 'state', # Billing address state
'country': 'country', # Billing address country code
'zip': 'zip', # Billing address zip/postal code
'referrer': 'ref', # referrer code
'secretsNeedParentPassword': 'secretsNeedsParentPassword', # restricted secret chat
'parentPasswordNewStyle' : 'pp',
'parentUsername' : 'pu',
'userid' : 'userid',
}
ignoredFields = ('ccType',)
# add all of the fields in 'data' to the HTTP body
# populate a map of serverField:value pairs so that we
# can add the fields in alphabetical order
outBoundFields = {}
for fieldName in data.keys():
if not serverFields.has_key(fieldName):
if not fieldName in ignoredFields:
# unknown field name
self.notify.error(
'unknown data field: %s' % fieldName)
else:
outBoundFields[serverFields[fieldName]] = data[fieldName]
# add the fields to the body in alphabetical order
orderedFields = outBoundFields.keys()
orderedFields.sort()
for fieldName in orderedFields:
if len(body):
body += '&'
body += "%s=%s" % (
fieldName,
URLSpec.quotePlus(outBoundFields[fieldName]))
self.notify.debug("url="+url.cStr())
# important: the body may contain the password; only print in debug env
self.notify.debug("body="+body)
if operation in ('get',):
expectedHeader = 'ACCOUNT INFO'
elif operation in ('play', 'cancel', 'create', 'purchase',
'setParentPassword', 'setSecretChat',
'authenticateParentPassword',
'authenticateDelete',
'forgotPassword',
'authenticateParentPasswordNewStyle',
'authenticateParentUsernameAndPassword',
'authenticateDeleteNewStyle',):
expectedHeader = 'ACCOUNT SERVER RESPONSE'
else:
self.notify.error('Internal TTAccount error: need to set '
'expected response header for \'%s\' operation' %
operation)
# In certain circumstances in which the Disney proxy fails to
# contact the server, it seems to report a successful
# connection and simply returns a bogus response.
# Make sure to check for the proper header in the response.
self.response = RemoteValueSet.RemoteValueSet(
url, self.cr.http, body=body, expectedHeader=expectedHeader)
self.notify.debug(" self.response="+str(self.response))
# was there an error?
if self.response.hasKey('errorCode'):
errorCode = self.response.getInt('errorCode')
self.notify.info('account server error code: %s' % errorCode)
# if free time has expired, set it on the cr
if errorCode == 10:
self.cr.freeTimeExpiresAt = 0
# if there's an error message in the response,
# pass it back
if self.response.hasKey('errorMsg'):
# add the customer service # for error messages that
# should always have the #
return self.getLastErrorMsg()
# grab some info out of the response for easy access
if operation in ('get', 'forgotPassword', 'authenticateDelete',
'play', 'cancel', 'create', 'purchase',
'setParentPassword', 'authenticateParentPassword',
'authenticateParentPasswordNewStyle',
'authenticateParentUsernameAndPassword',
'authenticateDeleteNewStyle'):
# none of these require data from the web anymore
pass
elif operation == 'setSecretChat':
# setSecretChat needs a new playToken
self.playToken = self.response.getString('playToken')
self.playTokenIsEncrypted=1
else:
self.notify.error('Internal TTAccount error: need to extract '
'useful data for %s operation' %
operation)
return None # no error
def authenticateParentUsernameAndPassword(self, loginName,
password, parentUsername, parentPassword):
"""
try to authenticate the parent password
NOTE: this does not actually set any state on the account,
it just tests a parent password
returns (int success, string error)
you will get:
(1, None) --> success, password cleared
(0, None) --> failure, password did not clear
(0, '<some message>') --> failure, but not due to bad password,
error msg explains what the problem is
this function will never intentionally raise an exception
"""
try:
errorMsg = self.talk(
'authenticateParentUsernameAndPassword',
data=self.__makeLoginDict(loginName, password,
{'parentUsername': parentUsername,
'parentPasswordNewStyle' : parentPassword,
'userid': loginName}))
if not errorMsg:
return (1, None)
# we got an error message; check to see if it's the
# 'wrong password' error
if self.response.getInt('errorCode') in (5, 72):
return (0, None)
# some other error, pass it back
return (0, errorMsg)
except TTAccountException, e:
# connection error, bad response, etc.
# pass it back
return (0, str(e))
|
[
"\"\"\"TTAccount.py is for communicating with account servers\"\"\"\n\nfrom pandac.PandaModules import *\nfrom pandac.PandaModules import *\nfrom direct.directnotify import DirectNotifyGlobal\nfrom direct.showbase import PythonUtil\nfrom otp.otpbase import OTPLocalizer\nimport HTTPUtil\nimport RemoteValueSet\nimport copy\n\naccountServer = ''\naccountServer = launcher.getAccountServer()\nprint \"TTAccount: accountServer from launcher: \", (accountServer)\n \nconfigAccountServer = base.config.GetString('account-server', '')\nif configAccountServer:\n accountServer = configAccountServer\n print \"TTAccount: overriding accountServer from config: \", (accountServer)\n\nif not accountServer:\n accountServer = \"https://toontown.go.com\"\n print \"TTAccount: default accountServer: \", (accountServer)\n\naccountServer = URLSpec(accountServer, 1)\n\ndef getAccountServer():\n return accountServer\n\n# TTAccount only raises HTTPUtil exceptions; rename the base\n# exception for easy/handsome client exception catching\nTTAccountException = HTTPUtil.HTTPUtilException\n\nclass TTAccount:\n notify = DirectNotifyGlobal.directNotify.newCategory(\"TTAccount\")\n \n def __init__(self, cr):\n self.cr = cr\n self.response = None\n\n \"\"\"\n UNLESS OTHERWISE SPECIFIED,\n these functions return None on success,\n return an error string on 'normal' failure,\n and raise a TTAccountException on connection problem, bad response, etc.\n \"\"\"\n\n def createAccount(self, loginName, password, data):\n \"\"\"\n Ask the account server to create a new account.\n see talk() for list of required fields in 'data' dict\n see above for return values\n \"\"\"\n return self.talk('create',\n data=self.__makeLoginDict(loginName, password, data))\n\n def authorize(self, loginName, password):\n \"\"\"\n Ask the account server to give us a play token.\n see above for return values\n \"\"\"\n return self.talk('play', data=self.__makeLoginDict(loginName, password))\n \n def createBilling(self, loginName, password, data):\n \"\"\"\n Start paying using a credit card.\n see talk() for list of required fields in 'data' dict\n see above for return values\n \"\"\"\n return self.talk('purchase',\n data=self.__makeLoginDict(loginName, password, data))\n\n def setParentPassword(self, loginName, password, parentPassword):\n \"\"\"\n set the parent password\n see above for return values\n \"\"\"\n return self.talk(\n 'setParentPassword',\n data=self.__makeLoginDict(loginName, password,\n {'parentPassword': parentPassword}))\n\n def supportsParentPassword(self):\n \"\"\"Returns true if authenticateParentPassword is implemented\n and meaningful for this type of account system.\"\"\"\n return 1\n\n def authenticateParentPassword(self, loginName,\n password, parentPassword):\n \"\"\"\n try to authenticate the parent password\n NOTE: this does not actually set any state on the account,\n it just tests a parent password\n returns (int success, string error)\n you will get:\n (1, None) --> success, password cleared\n (0, None) --> failure, password did not clear\n (0, '<some message>') --> failure, but not due to bad password,\n error msg explains what the problem is\n this function will never intentionally raise an exception\n \"\"\"\n try:\n errorMsg = self.talk(\n 'authenticateParentPassword',\n data=self.__makeLoginDict(loginName, parentPassword))\n if not errorMsg:\n return (1, None)\n \n # we got an error message; check to see if it's the\n # 'wrong password' error\n if self.response.getInt('errorCode') in (5, 72):\n return (0, None)\n\n # some other error, pass it back\n return (0, errorMsg)\n except TTAccountException, e:\n # connection error, bad response, etc.\n # pass it back\n return (0, str(e))\n\n def supportsAuthenticateDelete(self):\n \"\"\" Returns true if authenticateDelete is implemented\n for this type of account system \"\"\"\n return 1\n\n def authenticateDelete(self, loginName, password):\n \"\"\"\n authenticate the deletion of a toon\n password can be either the login or parent password\n NOTE: this does not actually set any state on the account,\n it just authenticates the password\n returns (int success, string error)\n you will get:\n (1, None) --> success, password cleared\n (0, None) --> failure, password did not clear\n (0, '<some message>') --> failure, but not due to bad password,\n error msg explains what the problem is\n this function will never intentionally raise an exception\n \"\"\"\n try:\n errorMsg = self.talk(\n 'authenticateDelete',\n data=self.__makeLoginDict(loginName, password))\n if not errorMsg:\n return (1, None)\n \n # we got an error message; check to see if it's the\n # 'wrong password' error\n if self.response.getInt('errorCode') in (5, 72):\n return (0, None)\n\n # some other error, pass it back\n return (0, errorMsg)\n except TTAccountException, e:\n # connection error, bad response, etc.\n # pass it back\n return (0, str(e))\n \n def enableSecretFriends(self, loginName, password,\n parentPassword, enable=1):\n \"\"\"\n attempt to enable secret friends\n returns (int success, string error)\n you will get:\n (1, None) --> success, password cleared, operation gperformed\n (0, None) --> failure, password did not clear, operation not performed\n (0, '<some message>') --> failure, but not due to bad password,\n error msg explains what the problem is\n this function will never intentionally raise an exception\n \"\"\"\n try:\n errorMsg = self.talk(\n 'setSecretChat',\n data=self.__makeLoginDict(loginName, parentPassword,\n {'chat': base.cr.secretChatAllowed,\n 'secretsNeedParentPassword': base.cr.secretChatNeedsParentPassword}\n )\n )\n if not errorMsg:\n return (1, None)\n \n # we got an error message; check to see if it's the\n # 'wrong password' error\n if self.response.getInt('errorCode') in (5, 72):\n return (0, None)\n\n # some other error, pass it back\n return (0, errorMsg)\n except TTAccountException, e:\n # connection error, bad response, etc.\n # pass it back\n return (0, str(e))\n \n def changePassword(self, loginName, password, newPassword):\n \"\"\"\n change password to newPassword\n see above for return values\n \"\"\"\n return self.talk(\n 'purchase',\n data=self.__makeLoginDict(loginName, password,\n {'newPassword': newPassword}))\n\n def requestPwdReminder(self, email=None, acctName=None):\n \"\"\"\n request an email with the password(s)\n will be sent to the parent/billing email address\n\n pass email OR acctName\n see above for return values\n \"\"\"\n assert acctName or email\n assert not (acctName and email)\n data = {}\n if email is not None:\n data['email'] = email\n else:\n data['accountName'] = acctName\n return self.talk('forgotPassword', data)\n \n def cancelAccount(self, loginName, password):\n \"\"\"\n Stop paying.\n see above for return values\n \"\"\"\n return self.talk('cancel',\n data=self.__makeLoginDict(loginName, password))\n\n def getAccountData(self, loginName, password):\n \"\"\"\n retrieves account fields for a specific account\n all field values are strings\n\n on success, account data is available in self.accountData dictionary\n see above for return values\n \"\"\"\n errorMsg = self.talk(\n 'get',\n data=self.__makeLoginDict(loginName, password))\n # if there was an error msg from the server, return it\n if errorMsg:\n self.notify.warning('getAccountData error: %s' % errorMsg)\n return errorMsg\n\n # TODO: check that we got all the expected fields\n\n # if there's an error field, print it out\n if self.response.hasKey('errorMsg'):\n self.notify.warning(\"error field is: '%s'\" %\n self.response.getString('errorMsg'))\n\n # make an independent copy of the raw result dictionary\n self.accountData = copy.deepcopy(self.response)\n\n fieldNameMap = {\n 'em': 'email',\n 'l1': 'addr1',\n 'l2': 'addr2',\n 'l3': 'addr3',\n }\n\n # rename some fields\n dict = self.accountData.dict\n for fieldName in dict.keys():\n if fieldNameMap.has_key(fieldName):\n dict[fieldNameMap[fieldName]] = dict[fieldName]\n del dict[fieldName]\n\n return None\n\n def getLastErrorMsg(self, forceCustServNum=0):\n \"\"\" call this function if you need to show the customer\n service # unconditionally on all errors, or if you\n have a threshold condition beyond which the CS # should\n always be included.\n\n For error codes >= 100, we always add the CS #. It might\n be simpler for the server to add it, but that would waste\n bandwidth.\n \"\"\"\n assert self.response.hasKey('errorCode')\n assert self.response.hasKey('errorMsg')\n errCode = self.response.getInt('errorCode')\n\n if errCode < 100:\n # these are 'user-fixable' problems\n # don't show customer service number if\n # suppress flag is true\n msg = self.response.getString('errorMsg')\n if forceCustServNum:\n # put up an 'if you need help, call...' msg\n msg += (' ' + OTPLocalizer.TTAccountCustomerServiceHelp %\n self.cr.accountServerConstants.getString('customerServicePhoneNumber'))\n elif errCode < 200:\n # these are non-user fixable, but it's useful\n # for the user to see what the error is\n msg = self.response.getString('errorMsg')\n msg += (' ' + OTPLocalizer.TTAccountCustomerServiceHelp %\n self.cr.accountServerConstants.getString('customerServicePhoneNumber'))\n elif errCode >= 500:\n # these are non-user fixable, and there's no\n # useful information that we can give to the user\n msg = OTPLocalizer.TTAccountIntractibleError\n msg += (' ' + OTPLocalizer.TTAccountCallCustomerService %\n self.cr.accountServerConstants.getString('customerServicePhoneNumber'))\n else:\n # don't know what this range of errors is all about...\n # log a warning...\n self.notify.warning(\"unknown error code class: %s: %s\" %\n (self.response.getInt('errorCode'),\n self.response.getString('errorMsg')))\n # and pass on the server's error msg, with the Cust. Serv. #\n msg = self.response.getString('errorMsg')\n msg += (' ' + OTPLocalizer.TTAccountCallCustomerService %\n self.cr.accountServerConstants.getString('customerServicePhoneNumber'))\n\n return msg\n\n def __makeLoginDict(self, loginName, password, data=None):\n \"\"\" many of the TTAccount API functions accept\n a login and password separately from the dict\n of data fields; this function puts the login\n and password into a dict, the way talk() wants\n it \"\"\"\n dict = {\n 'accountName': loginName,\n 'password': password\n }\n if data:\n dict.update(data)\n return dict\n\n def makeLoginDict(self, loginName, password, data=None):\n return self.__makeLoginDict(loginName, password,data)\n\n def talk(self, operation, data={}):\n \"\"\"\n A utility function used by other members of this class.\n returns:\n None: no error\n string: user error msg (bad password...)\n raises TTAccountException on connection failure, etc.\n \"\"\"\n self.notify.debug(\"TTAccount.talk()\")\n\n # ensure that data contains nothing but strings\n for key in data.keys():\n data[key] = str(data[key])\n\n # assert that 'data' contains all the required data\n if operation in ('play', 'get', 'cancel',\n 'authenticateParentPassword',\n 'authenticateDelete',\n 'authenticateParentPasswordNewStyle',\n 'authenticateDeleteNewStyle'):\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'password'))\n elif operation == 'authenticateParentUsernameAndPassword':\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'parentUsername',\n 'parentPasswordNewStyle',\n 'userid'))\n elif operation == 'forgotPassword':\n assert data.has_key('accountName') or data.has_key('email')\n elif operation == 'setParentPassword':\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'password',\n 'parentPassword',))\n elif operation == 'setSecretChat':\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'password',\n 'chat',))\n elif operation == 'create':\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'password',\n #'dobYear',\n #'dobMonth',\n #'dobDay',\n #'email',\n #'referrer',\n ))\n elif operation == 'purchase':\n # is this a password change or a purchase op?\n if data.has_key('newPassword'):\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'password'))\n else:\n assert PythonUtil.contains(\n data.keys(),\n ('accountName',\n 'password',\n 'email', \n #'dobMonth',\n #'dobYear',\n 'ccType',\n 'ccNumber',\n 'ccMonth',\n 'ccYear',\n 'nameOnCard',\n 'addr1',\n 'addr2',\n 'city',\n 'state',\n 'country',\n 'zip'))\n else:\n self.notify.error('Internal TTAccount error: need to add '\n '\\'required data\\' checking for %s operation' %\n operation)\n\n # map operations to php pages\n op2Php = {\n 'play': 'play',\n 'get': 'get',\n 'cancel': 'cancel',\n 'create': 'create',\n 'purchase': 'purchase',\n 'setParentPassword': 'setSecrets',\n 'authenticateParentPassword': 'authenticateChat',\n 'authenticateDelete': 'authDelete',\n 'setSecretChat': 'setChat',\n 'forgotPassword': 'forgotPw',\n # these last 3 are exclusive to the redesigned web site\n 'authenticateParentPasswordNewStyle' : 'api/authChat',\n 'authenticateParentUsernameAndPassword' : 'api/authParentChat',\n 'authenticateDeleteNewStyle' : 'api/authDelete',\n }\n\n newWebOperations = ('authenticateParentPasswordNewStyle',\n 'authenticateParentUsernameAndPassword',\n 'authenticateDeleteNewStyle')\n url = URLSpec(getAccountServer())\n if operation in newWebOperations :\n\n url.setPath('/%s' % (op2Php[operation])) \n else:\n url.setPath('/%s.php' % (op2Php[operation]))\n body = ''\n\n if data.has_key('accountName'):\n if operation not in newWebOperations:\n # name is put on url for documentation only\n url.setQuery('n=%s' % (URLSpec.quote(data['accountName'])))\n\n serverFields = {\n # map: local field name --> server field name\n 'accountName': 'n', # accountName\n 'password': 'p', # accountPassword\n 'parentPassword': 'sp',# parent password\n 'newPassword': 'np', # new password for password change\n 'chat': 'chat', # chat enable flag\n 'email': 'em', # email address\n 'dobYear': 'doby', # date of birth year\n 'dobMonth': 'dobm', # date of birth month\n 'dobDay': 'dobd', # date of birth day\n 'ccNumber': 'ccn', # credit card number\n 'ccMonth': 'ccm', # credit card expiration month (1==January)\n 'ccYear': 'ccy', # credit card expiration year\n 'nameOnCard': 'noc', # NameOnCard, the credit card owner\n 'addr1': 'l1', # Address line 1\n 'addr2': 'l2', # Address line 2\n 'addr3': 'l3', # Address line 3\n 'city': 'city', # Billing address city\n 'state': 'state', # Billing address state\n 'country': 'country', # Billing address country code\n 'zip': 'zip', # Billing address zip/postal code\n 'referrer': 'ref', # referrer code\n 'secretsNeedParentPassword': 'secretsNeedsParentPassword', # restricted secret chat\n 'parentPasswordNewStyle' : 'pp',\n 'parentUsername' : 'pu',\n 'userid' : 'userid',\n }\n ignoredFields = ('ccType',)\n\n # add all of the fields in 'data' to the HTTP body\n\n # populate a map of serverField:value pairs so that we\n # can add the fields in alphabetical order\n outBoundFields = {}\n for fieldName in data.keys():\n if not serverFields.has_key(fieldName):\n if not fieldName in ignoredFields:\n # unknown field name\n self.notify.error(\n 'unknown data field: %s' % fieldName)\n else:\n outBoundFields[serverFields[fieldName]] = data[fieldName]\n\n # add the fields to the body in alphabetical order\n orderedFields = outBoundFields.keys()\n orderedFields.sort()\n for fieldName in orderedFields:\n if len(body):\n body += '&'\n body += \"%s=%s\" % (\n fieldName,\n URLSpec.quotePlus(outBoundFields[fieldName]))\n\n self.notify.debug(\"url=\"+url.cStr())\n # important: the body may contain the password; only print in debug env\n self.notify.debug(\"body=\"+body)\n\n if operation in ('get',):\n expectedHeader = 'ACCOUNT INFO'\n elif operation in ('play', 'cancel', 'create', 'purchase',\n 'setParentPassword', 'setSecretChat',\n 'authenticateParentPassword',\n 'authenticateDelete',\n 'forgotPassword',\n 'authenticateParentPasswordNewStyle',\n 'authenticateParentUsernameAndPassword',\n 'authenticateDeleteNewStyle',):\n expectedHeader = 'ACCOUNT SERVER RESPONSE'\n else:\n self.notify.error('Internal TTAccount error: need to set '\n 'expected response header for \\'%s\\' operation' %\n operation)\n\n # In certain circumstances in which the Disney proxy fails to\n # contact the server, it seems to report a successful\n # connection and simply returns a bogus response.\n # Make sure to check for the proper header in the response.\n self.response = RemoteValueSet.RemoteValueSet(\n url, self.cr.http, body=body, expectedHeader=expectedHeader)\n self.notify.debug(\" self.response=\"+str(self.response))\n\n # was there an error?\n if self.response.hasKey('errorCode'):\n errorCode = self.response.getInt('errorCode')\n\n self.notify.info('account server error code: %s' % errorCode)\n\n # if free time has expired, set it on the cr\n if errorCode == 10:\n self.cr.freeTimeExpiresAt = 0\n\n # if there's an error message in the response,\n # pass it back\n if self.response.hasKey('errorMsg'):\n # add the customer service # for error messages that\n # should always have the #\n return self.getLastErrorMsg()\n\n # grab some info out of the response for easy access\n if operation in ('get', 'forgotPassword', 'authenticateDelete',\n 'play', 'cancel', 'create', 'purchase',\n 'setParentPassword', 'authenticateParentPassword',\n 'authenticateParentPasswordNewStyle',\n 'authenticateParentUsernameAndPassword',\n 'authenticateDeleteNewStyle'):\n # none of these require data from the web anymore\n pass\n elif operation == 'setSecretChat':\n # setSecretChat needs a new playToken\n self.playToken = self.response.getString('playToken')\n self.playTokenIsEncrypted=1\n else:\n self.notify.error('Internal TTAccount error: need to extract '\n 'useful data for %s operation' %\n operation)\n\n return None # no error\n\n\n def authenticateParentUsernameAndPassword(self, loginName,\n password, parentUsername, parentPassword):\n \"\"\"\n try to authenticate the parent password\n NOTE: this does not actually set any state on the account,\n it just tests a parent password\n returns (int success, string error)\n you will get:\n (1, None) --> success, password cleared\n (0, None) --> failure, password did not clear\n (0, '<some message>') --> failure, but not due to bad password,\n error msg explains what the problem is\n this function will never intentionally raise an exception\n \"\"\"\n try:\n errorMsg = self.talk(\n 'authenticateParentUsernameAndPassword',\n data=self.__makeLoginDict(loginName, password,\n {'parentUsername': parentUsername,\n 'parentPasswordNewStyle' : parentPassword,\n 'userid': loginName}))\n \n if not errorMsg:\n return (1, None)\n \n # we got an error message; check to see if it's the\n # 'wrong password' error\n if self.response.getInt('errorCode') in (5, 72):\n return (0, None)\n\n # some other error, pass it back\n return (0, errorMsg)\n except TTAccountException, e:\n # connection error, bad response, etc.\n # pass it back\n return (0, str(e))\n\n"
] | true |
98,727 |
ac887273a56ae000004bf5a6eb36d42edff3b6d0
|
"""
Network-related utility functions.
"""
# Standard library imports
import errno
import logging
import platform
import socket
import subprocess
# Local imports
from brokkr.constants import Errors
import brokkr.utils.log
import brokkr.utils.misc
BUFFER_SIZE_DEFAULT = 4096
MAX_DATA_SIZE = 2**31 - 2
MAX_DATA_PRINT_LENGTH = 1024
TIMEOUT_S_DEFAULT = 2
SUBPROCESS_TIMEOUT_EXTRA = 2
PING_COUNT_PARAM = "-n" if platform.system().lower() == "windows" else "-c"
ERROR_CODES_ADDRESS_LINK_DOWN = {
getattr(errno, "EADDRNOTAVAIL", None),
getattr(errno, "WSAEADDRNOTAVAIL", None),
}
LOGGER = logging.getLogger(__name__)
LOG_HELPER = brokkr.utils.log.LogHelper(LOGGER)
def ping(
host,
count=1,
timeout_s=TIMEOUT_S_DEFAULT,
record_output=False,
):
# Set the correct option for the number of packets based on platform.
if platform.system().lower() == "windows":
count_param = "-n"
else:
count_param = "-c"
# Build the command, e.g. ping -c 1 -w 1 10.10.10.1
command = ["ping", count_param, str(count), "-w", str(timeout_s), host]
LOGGER.debug("Running ping command %s ...", " ".join(command))
if record_output:
extra_args = {
"stdout": subprocess.PIPE,
"stderr": subprocess.PIPE,
"encoding": "utf-8",
"errors": "surrogateescape",
}
else:
extra_args = {
"stdout": subprocess.DEVNULL,
"stderr": subprocess.DEVNULL,
}
ping_output = subprocess.run(
command,
timeout=timeout_s + SUBPROCESS_TIMEOUT_EXTRA,
check=False,
**extra_args,
)
return ping_output
def handle_socket_error(e, errors=Errors.RAISE, **log_kwargs):
if errors == Errors.RAISE:
raise e
if errors in {Errors.WARN, Errors.LOG}:
LOGGER.error("%s with socket: %s", type(e).__name__, e)
LOG_HELPER.log(socket=log_kwargs)
elif errors == Errors.IGNORE:
LOGGER.debug("Suppressing %s with socket: %s", type(e).__name__, e)
LOG_HELPER.log(log_helper_log_level="debug", socket=log_kwargs)
else:
error_levels = {"Errors." + errors.name for errors in Errors}
LOGGER.critical(
"Error level for %s.handle_socket_error must be one of %r, not %r;"
" assuming raise", __file__, error_levels, errors)
LOGGER.info("Stack trace:", stack_info=True)
raise e
def setup_socket( # pylint: disable=dangerous-default-value
sock,
address_tuple,
action,
timeout_s=None,
errors=Errors.RAISE,
error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN,
):
valid_actions = {"bind", "connect"}
if action is not None and action not in valid_actions:
LOGGER.critical("Action for %s.setup_socket must be one of %r, not %r",
__file__, valid_actions, action)
LOGGER.info("Stack trace:", stack_info=True)
raise ValueError(
f"Action must be one of {valid_actions!r}, not {action!r}")
try:
sock.settimeout(timeout_s)
if action is not None:
getattr(sock, action)(address_tuple)
except Exception as e:
if isinstance(e, OSError):
# pylint: disable=no-member, useless-suppression
if error_codes_suppress and (
isinstance(e, socket.timeout)
or (e.errno
and e.errno in error_codes_suppress)):
errors = Errors.IGNORE
handle_socket_error(e, errors=errors, socket=sock,
address=address_tuple, action=action)
return None
else:
LOGGER.debug("Listening on socket %r", sock)
return sock
def recieve_all(
sock,
data_length=None,
timeout_s=None,
errors=Errors.RAISE,
buffer_size=BUFFER_SIZE_DEFAULT,
):
start_time_recieve = None
chunks = []
bytes_remaining = (
data_length if data_length else (MAX_DATA_SIZE - buffer_size))
while (bytes_remaining > 0
and (not start_time_recieve
or not timeout_s
or (brokkr.utils.misc.monotonic_ns()
- start_time_recieve * brokkr.utils.misc.NS_IN_S)
<= (timeout_s * brokkr.utils.misc.NS_IN_S))):
try:
chunk = sock.recv(buffer_size)
if not chunks:
LOGGER.debug(
"First chunk of network data recieved of length %s bytes",
len(chunk))
LOGGER.debug(
"First %s bytes of first chunk: %r",
MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])
except socket.timeout as e:
LOGGER.debug("Socket timed out in %s s while waiting for data",
timeout_s)
handle_socket_error(
e, errors=Errors.IGNORE, socket=sock, data_length=data_length,
n_chunks=len(chunks), bytes_remaining=bytes_remaining)
break
except Exception as e:
handle_socket_error(
e, errors=errors, socket=sock, data_length=data_length,
n_chunks=len(chunks), bytes_remaining=bytes_remaining)
return None
if start_time_recieve is None:
start_time_recieve = brokkr.utils.misc.monotonic_ns()
if not chunk:
if not data_length:
errors = Errors.IGNORE
try:
raise RuntimeError(
f"Null {chunk!r} found in recieved socket data chunk")
except RuntimeError as e:
handle_socket_error(
e, errors=errors, socket=sock, data_length=data_length,
n_chunks=len(chunks), bytes_remaining=bytes_remaining)
break
bytes_remaining -= len(chunk)
buffer_size = min([buffer_size, bytes_remaining])
chunks.append(chunk)
LOGGER.debug("%s total chunks of network data recieved", len(chunks))
if not chunks:
LOGGER.debug("No network data to return")
return None
data = b"".join(chunks)
if data_length:
data = data[:data_length]
if not data:
LOGGER.debug("Null network data recieved: %r", data)
else:
LOGGER.debug("Network data recieved of length %s bytes", len(data))
LOGGER.debug("First %s bytes: %r",
MAX_DATA_PRINT_LENGTH, data[:MAX_DATA_PRINT_LENGTH])
return data
def read_socket_data(
host,
port,
action,
socket_family=socket.AF_INET,
socket_type=socket.SOCK_STREAM,
timeout_s=TIMEOUT_S_DEFAULT,
errors=Errors.RAISE,
shutdown=False,
**recieve_kwargs,
):
address_tuple = (host, port)
LOGGER.debug(
"Creating socket of family %r, type %r with host %r, port %r, "
"action %r, timeout %r",
socket_family, socket_type, host, port, action, timeout_s)
with socket.socket(socket_family, socket_type) as sock:
LOGGER.debug("Created socket %r", sock)
setup_sock = setup_socket(
sock, address_tuple, action, timeout_s=timeout_s, errors=errors)
if setup_sock is not None:
sock = setup_sock
LOGGER.debug(
"Waiting for data from socket %r with kwargs %r",
sock, recieve_kwargs)
data = recieve_all(
sock, timeout_s=timeout_s, errors=errors, **recieve_kwargs)
else:
data = None
if shutdown:
try:
LOGGER.debug("Shutting down socket %r", sock)
sock.shutdown(socket.SHUT_RDWR)
except Exception as e:
handle_socket_error(e, errors=Errors.IGNORE, socket=sock,
address=address_tuple, action=action)
return data
def netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):
recieved_data = None
address_tuple = (host, port)
LOGGER.info(
"Running netcat with data %r, host %r, port %r, timeout %r",
data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
LOGGER.debug("Created socket %r", sock)
sock = setup_socket(
sock, address_tuple, action="connect", timeout_s=timeout_s,
errors=Errors.RAISE, error_codes_suppress=None)
LOGGER.debug("Sending data %r to socket %r",
data_to_send[:MAX_DATA_PRINT_LENGTH], sock)
if data_to_send is not None:
sock.sendall(data_to_send)
sock.shutdown(socket.SHUT_WR)
if recieve_reply:
LOGGER.debug("Recieving data from socket %r", sock)
recieved_data = recieve_all(
sock, timeout_s=timeout_s, errors=Errors.RAISE)
sock.shutdown(socket.SHUT_RD)
return recieved_data
@brokkr.utils.log.basic_logging
def netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):
if data_to_send is not None:
LOGGER.debug("Encoding input data %r to bytes",
data_to_send[:MAX_DATA_PRINT_LENGTH])
data_to_send = data_to_send.encode()
LOGGER.debug("Encoded data: %r",
data_to_send[:MAX_DATA_PRINT_LENGTH].hex())
recieved_data = netcat(
data_to_send, recieve_reply=recieve_reply, **netcat_args)
if recieve_reply:
try:
LOGGER.debug("First %s bytes of recieved data: %r",
MAX_DATA_PRINT_LENGTH,
recieved_data[:MAX_DATA_PRINT_LENGTH].hex())
recieved_data = recieved_data.decode()
except Exception:
pass
LOGGER.info("Recieved responce:\n")
print(recieved_data)
return recieved_data
|
[
"\"\"\"\nNetwork-related utility functions.\n\"\"\"\n\n# Standard library imports\nimport errno\nimport logging\nimport platform\nimport socket\nimport subprocess\n\n# Local imports\nfrom brokkr.constants import Errors\nimport brokkr.utils.log\nimport brokkr.utils.misc\n\n\nBUFFER_SIZE_DEFAULT = 4096\nMAX_DATA_SIZE = 2**31 - 2\n\nMAX_DATA_PRINT_LENGTH = 1024\n\nTIMEOUT_S_DEFAULT = 2\nSUBPROCESS_TIMEOUT_EXTRA = 2\n\nPING_COUNT_PARAM = \"-n\" if platform.system().lower() == \"windows\" else \"-c\"\n\nERROR_CODES_ADDRESS_LINK_DOWN = {\n getattr(errno, \"EADDRNOTAVAIL\", None),\n getattr(errno, \"WSAEADDRNOTAVAIL\", None),\n }\n\nLOGGER = logging.getLogger(__name__)\nLOG_HELPER = brokkr.utils.log.LogHelper(LOGGER)\n\n\ndef ping(\n host,\n count=1,\n timeout_s=TIMEOUT_S_DEFAULT,\n record_output=False,\n ):\n # Set the correct option for the number of packets based on platform.\n if platform.system().lower() == \"windows\":\n count_param = \"-n\"\n else:\n count_param = \"-c\"\n\n # Build the command, e.g. ping -c 1 -w 1 10.10.10.1\n command = [\"ping\", count_param, str(count), \"-w\", str(timeout_s), host]\n LOGGER.debug(\"Running ping command %s ...\", \" \".join(command))\n if record_output:\n extra_args = {\n \"stdout\": subprocess.PIPE,\n \"stderr\": subprocess.PIPE,\n \"encoding\": \"utf-8\",\n \"errors\": \"surrogateescape\",\n }\n else:\n extra_args = {\n \"stdout\": subprocess.DEVNULL,\n \"stderr\": subprocess.DEVNULL,\n }\n\n ping_output = subprocess.run(\n command,\n timeout=timeout_s + SUBPROCESS_TIMEOUT_EXTRA,\n check=False,\n **extra_args,\n )\n return ping_output\n\n\ndef handle_socket_error(e, errors=Errors.RAISE, **log_kwargs):\n if errors == Errors.RAISE:\n raise e\n if errors in {Errors.WARN, Errors.LOG}:\n LOGGER.error(\"%s with socket: %s\", type(e).__name__, e)\n LOG_HELPER.log(socket=log_kwargs)\n elif errors == Errors.IGNORE:\n LOGGER.debug(\"Suppressing %s with socket: %s\", type(e).__name__, e)\n LOG_HELPER.log(log_helper_log_level=\"debug\", socket=log_kwargs)\n else:\n error_levels = {\"Errors.\" + errors.name for errors in Errors}\n LOGGER.critical(\n \"Error level for %s.handle_socket_error must be one of %r, not %r;\"\n \" assuming raise\", __file__, error_levels, errors)\n LOGGER.info(\"Stack trace:\", stack_info=True)\n raise e\n\n\ndef setup_socket( # pylint: disable=dangerous-default-value\n sock,\n address_tuple,\n action,\n timeout_s=None,\n errors=Errors.RAISE,\n error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN,\n ):\n valid_actions = {\"bind\", \"connect\"}\n if action is not None and action not in valid_actions:\n LOGGER.critical(\"Action for %s.setup_socket must be one of %r, not %r\",\n __file__, valid_actions, action)\n LOGGER.info(\"Stack trace:\", stack_info=True)\n raise ValueError(\n f\"Action must be one of {valid_actions!r}, not {action!r}\")\n\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n # pylint: disable=no-member, useless-suppression\n if error_codes_suppress and (\n isinstance(e, socket.timeout)\n or (e.errno\n and e.errno in error_codes_suppress)):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock,\n address=address_tuple, action=action)\n return None\n else:\n LOGGER.debug(\"Listening on socket %r\", sock)\n\n return sock\n\n\ndef recieve_all(\n sock,\n data_length=None,\n timeout_s=None,\n errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT,\n ):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (\n data_length if data_length else (MAX_DATA_SIZE - buffer_size))\n while (bytes_remaining > 0\n and (not start_time_recieve\n or not timeout_s\n or (brokkr.utils.misc.monotonic_ns()\n - start_time_recieve * brokkr.utils.misc.NS_IN_S)\n <= (timeout_s * brokkr.utils.misc.NS_IN_S))):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n \"First chunk of network data recieved of length %s bytes\",\n len(chunk))\n LOGGER.debug(\n \"First %s bytes of first chunk: %r\",\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug(\"Socket timed out in %s s while waiting for data\",\n timeout_s)\n handle_socket_error(\n e, errors=Errors.IGNORE, socket=sock, data_length=data_length,\n n_chunks=len(chunks), bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(\n e, errors=errors, socket=sock, data_length=data_length,\n n_chunks=len(chunks), bytes_remaining=bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f\"Null {chunk!r} found in recieved socket data chunk\")\n except RuntimeError as e:\n handle_socket_error(\n e, errors=errors, socket=sock, data_length=data_length,\n n_chunks=len(chunks), bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n\n LOGGER.debug(\"%s total chunks of network data recieved\", len(chunks))\n if not chunks:\n LOGGER.debug(\"No network data to return\")\n return None\n\n data = b\"\".join(chunks)\n if data_length:\n data = data[:data_length]\n\n if not data:\n LOGGER.debug(\"Null network data recieved: %r\", data)\n else:\n LOGGER.debug(\"Network data recieved of length %s bytes\", len(data))\n LOGGER.debug(\"First %s bytes: %r\",\n MAX_DATA_PRINT_LENGTH, data[:MAX_DATA_PRINT_LENGTH])\n\n return data\n\n\ndef read_socket_data(\n host,\n port,\n action,\n socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM,\n timeout_s=TIMEOUT_S_DEFAULT,\n errors=Errors.RAISE,\n shutdown=False,\n **recieve_kwargs,\n ):\n address_tuple = (host, port)\n LOGGER.debug(\n \"Creating socket of family %r, type %r with host %r, port %r, \"\n \"action %r, timeout %r\",\n socket_family, socket_type, host, port, action, timeout_s)\n\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug(\"Created socket %r\", sock)\n setup_sock = setup_socket(\n sock, address_tuple, action, timeout_s=timeout_s, errors=errors)\n\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug(\n \"Waiting for data from socket %r with kwargs %r\",\n sock, recieve_kwargs)\n data = recieve_all(\n sock, timeout_s=timeout_s, errors=errors, **recieve_kwargs)\n else:\n data = None\n\n if shutdown:\n try:\n LOGGER.debug(\"Shutting down socket %r\", sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n\n return data\n\n\ndef netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):\n recieved_data = None\n address_tuple = (host, port)\n LOGGER.info(\n \"Running netcat with data %r, host %r, port %r, timeout %r\",\n data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)\n\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n LOGGER.debug(\"Created socket %r\", sock)\n sock = setup_socket(\n sock, address_tuple, action=\"connect\", timeout_s=timeout_s,\n errors=Errors.RAISE, error_codes_suppress=None)\n LOGGER.debug(\"Sending data %r to socket %r\",\n data_to_send[:MAX_DATA_PRINT_LENGTH], sock)\n if data_to_send is not None:\n sock.sendall(data_to_send)\n sock.shutdown(socket.SHUT_WR)\n\n if recieve_reply:\n LOGGER.debug(\"Recieving data from socket %r\", sock)\n recieved_data = recieve_all(\n sock, timeout_s=timeout_s, errors=Errors.RAISE)\n\n sock.shutdown(socket.SHUT_RD)\n\n return recieved_data\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug(\"Encoding input data %r to bytes\",\n data_to_send[:MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug(\"Encoded data: %r\",\n data_to_send[:MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(\n data_to_send, recieve_reply=recieve_reply, **netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug(\"First %s bytes of recieved data: %r\",\n MAX_DATA_PRINT_LENGTH,\n recieved_data[:MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info(\"Recieved responce:\\n\")\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\nimport errno\nimport logging\nimport platform\nimport socket\nimport subprocess\nfrom brokkr.constants import Errors\nimport brokkr.utils.log\nimport brokkr.utils.misc\nBUFFER_SIZE_DEFAULT = 4096\nMAX_DATA_SIZE = 2 ** 31 - 2\nMAX_DATA_PRINT_LENGTH = 1024\nTIMEOUT_S_DEFAULT = 2\nSUBPROCESS_TIMEOUT_EXTRA = 2\nPING_COUNT_PARAM = '-n' if platform.system().lower() == 'windows' else '-c'\nERROR_CODES_ADDRESS_LINK_DOWN = {getattr(errno, 'EADDRNOTAVAIL', None),\n getattr(errno, 'WSAEADDRNOTAVAIL', None)}\nLOGGER = logging.getLogger(__name__)\nLOG_HELPER = brokkr.utils.log.LogHelper(LOGGER)\n\n\ndef ping(host, count=1, timeout_s=TIMEOUT_S_DEFAULT, record_output=False):\n if platform.system().lower() == 'windows':\n count_param = '-n'\n else:\n count_param = '-c'\n command = ['ping', count_param, str(count), '-w', str(timeout_s), host]\n LOGGER.debug('Running ping command %s ...', ' '.join(command))\n if record_output:\n extra_args = {'stdout': subprocess.PIPE, 'stderr': subprocess.PIPE,\n 'encoding': 'utf-8', 'errors': 'surrogateescape'}\n else:\n extra_args = {'stdout': subprocess.DEVNULL, 'stderr': subprocess.\n DEVNULL}\n ping_output = subprocess.run(command, timeout=timeout_s +\n SUBPROCESS_TIMEOUT_EXTRA, check=False, **extra_args)\n return ping_output\n\n\ndef handle_socket_error(e, errors=Errors.RAISE, **log_kwargs):\n if errors == Errors.RAISE:\n raise e\n if errors in {Errors.WARN, Errors.LOG}:\n LOGGER.error('%s with socket: %s', type(e).__name__, e)\n LOG_HELPER.log(socket=log_kwargs)\n elif errors == Errors.IGNORE:\n LOGGER.debug('Suppressing %s with socket: %s', type(e).__name__, e)\n LOG_HELPER.log(log_helper_log_level='debug', socket=log_kwargs)\n else:\n error_levels = {('Errors.' + errors.name) for errors in Errors}\n LOGGER.critical(\n 'Error level for %s.handle_socket_error must be one of %r, not %r; assuming raise'\n , __file__, error_levels, errors)\n LOGGER.info('Stack trace:', stack_info=True)\n raise e\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\ndef recieve_all(sock, data_length=None, timeout_s=None, errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (data_length if data_length else MAX_DATA_SIZE -\n buffer_size)\n while bytes_remaining > 0 and (not start_time_recieve or not timeout_s or\n brokkr.utils.misc.monotonic_ns() - start_time_recieve * brokkr.\n utils.misc.NS_IN_S <= timeout_s * brokkr.utils.misc.NS_IN_S):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n 'First chunk of network data recieved of length %s bytes',\n len(chunk))\n LOGGER.debug('First %s bytes of first chunk: %r',\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug('Socket timed out in %s s while waiting for data',\n timeout_s)\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(e, errors=errors, socket=sock, data_length=\n data_length, n_chunks=len(chunks), bytes_remaining=\n bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f'Null {chunk!r} found in recieved socket data chunk')\n except RuntimeError as e:\n handle_socket_error(e, errors=errors, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n LOGGER.debug('%s total chunks of network data recieved', len(chunks))\n if not chunks:\n LOGGER.debug('No network data to return')\n return None\n data = b''.join(chunks)\n if data_length:\n data = data[:data_length]\n if not data:\n LOGGER.debug('Null network data recieved: %r', data)\n else:\n LOGGER.debug('Network data recieved of length %s bytes', len(data))\n LOGGER.debug('First %s bytes: %r', MAX_DATA_PRINT_LENGTH, data[:\n MAX_DATA_PRINT_LENGTH])\n return data\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\ndef netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):\n recieved_data = None\n address_tuple = host, port\n LOGGER.info('Running netcat with data %r, host %r, port %r, timeout %r',\n data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n LOGGER.debug('Created socket %r', sock)\n sock = setup_socket(sock, address_tuple, action='connect',\n timeout_s=timeout_s, errors=Errors.RAISE, error_codes_suppress=None\n )\n LOGGER.debug('Sending data %r to socket %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH], sock)\n if data_to_send is not None:\n sock.sendall(data_to_send)\n sock.shutdown(socket.SHUT_WR)\n if recieve_reply:\n LOGGER.debug('Recieving data from socket %r', sock)\n recieved_data = recieve_all(sock, timeout_s=timeout_s, errors=\n Errors.RAISE)\n sock.shutdown(socket.SHUT_RD)\n return recieved_data\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\nBUFFER_SIZE_DEFAULT = 4096\nMAX_DATA_SIZE = 2 ** 31 - 2\nMAX_DATA_PRINT_LENGTH = 1024\nTIMEOUT_S_DEFAULT = 2\nSUBPROCESS_TIMEOUT_EXTRA = 2\nPING_COUNT_PARAM = '-n' if platform.system().lower() == 'windows' else '-c'\nERROR_CODES_ADDRESS_LINK_DOWN = {getattr(errno, 'EADDRNOTAVAIL', None),\n getattr(errno, 'WSAEADDRNOTAVAIL', None)}\nLOGGER = logging.getLogger(__name__)\nLOG_HELPER = brokkr.utils.log.LogHelper(LOGGER)\n\n\ndef ping(host, count=1, timeout_s=TIMEOUT_S_DEFAULT, record_output=False):\n if platform.system().lower() == 'windows':\n count_param = '-n'\n else:\n count_param = '-c'\n command = ['ping', count_param, str(count), '-w', str(timeout_s), host]\n LOGGER.debug('Running ping command %s ...', ' '.join(command))\n if record_output:\n extra_args = {'stdout': subprocess.PIPE, 'stderr': subprocess.PIPE,\n 'encoding': 'utf-8', 'errors': 'surrogateescape'}\n else:\n extra_args = {'stdout': subprocess.DEVNULL, 'stderr': subprocess.\n DEVNULL}\n ping_output = subprocess.run(command, timeout=timeout_s +\n SUBPROCESS_TIMEOUT_EXTRA, check=False, **extra_args)\n return ping_output\n\n\ndef handle_socket_error(e, errors=Errors.RAISE, **log_kwargs):\n if errors == Errors.RAISE:\n raise e\n if errors in {Errors.WARN, Errors.LOG}:\n LOGGER.error('%s with socket: %s', type(e).__name__, e)\n LOG_HELPER.log(socket=log_kwargs)\n elif errors == Errors.IGNORE:\n LOGGER.debug('Suppressing %s with socket: %s', type(e).__name__, e)\n LOG_HELPER.log(log_helper_log_level='debug', socket=log_kwargs)\n else:\n error_levels = {('Errors.' + errors.name) for errors in Errors}\n LOGGER.critical(\n 'Error level for %s.handle_socket_error must be one of %r, not %r; assuming raise'\n , __file__, error_levels, errors)\n LOGGER.info('Stack trace:', stack_info=True)\n raise e\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\ndef recieve_all(sock, data_length=None, timeout_s=None, errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (data_length if data_length else MAX_DATA_SIZE -\n buffer_size)\n while bytes_remaining > 0 and (not start_time_recieve or not timeout_s or\n brokkr.utils.misc.monotonic_ns() - start_time_recieve * brokkr.\n utils.misc.NS_IN_S <= timeout_s * brokkr.utils.misc.NS_IN_S):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n 'First chunk of network data recieved of length %s bytes',\n len(chunk))\n LOGGER.debug('First %s bytes of first chunk: %r',\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug('Socket timed out in %s s while waiting for data',\n timeout_s)\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(e, errors=errors, socket=sock, data_length=\n data_length, n_chunks=len(chunks), bytes_remaining=\n bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f'Null {chunk!r} found in recieved socket data chunk')\n except RuntimeError as e:\n handle_socket_error(e, errors=errors, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n LOGGER.debug('%s total chunks of network data recieved', len(chunks))\n if not chunks:\n LOGGER.debug('No network data to return')\n return None\n data = b''.join(chunks)\n if data_length:\n data = data[:data_length]\n if not data:\n LOGGER.debug('Null network data recieved: %r', data)\n else:\n LOGGER.debug('Network data recieved of length %s bytes', len(data))\n LOGGER.debug('First %s bytes: %r', MAX_DATA_PRINT_LENGTH, data[:\n MAX_DATA_PRINT_LENGTH])\n return data\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\ndef netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):\n recieved_data = None\n address_tuple = host, port\n LOGGER.info('Running netcat with data %r, host %r, port %r, timeout %r',\n data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n LOGGER.debug('Created socket %r', sock)\n sock = setup_socket(sock, address_tuple, action='connect',\n timeout_s=timeout_s, errors=Errors.RAISE, error_codes_suppress=None\n )\n LOGGER.debug('Sending data %r to socket %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH], sock)\n if data_to_send is not None:\n sock.sendall(data_to_send)\n sock.shutdown(socket.SHUT_WR)\n if recieve_reply:\n LOGGER.debug('Recieving data from socket %r', sock)\n recieved_data = recieve_all(sock, timeout_s=timeout_s, errors=\n Errors.RAISE)\n sock.shutdown(socket.SHUT_RD)\n return recieved_data\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n\n\ndef ping(host, count=1, timeout_s=TIMEOUT_S_DEFAULT, record_output=False):\n if platform.system().lower() == 'windows':\n count_param = '-n'\n else:\n count_param = '-c'\n command = ['ping', count_param, str(count), '-w', str(timeout_s), host]\n LOGGER.debug('Running ping command %s ...', ' '.join(command))\n if record_output:\n extra_args = {'stdout': subprocess.PIPE, 'stderr': subprocess.PIPE,\n 'encoding': 'utf-8', 'errors': 'surrogateescape'}\n else:\n extra_args = {'stdout': subprocess.DEVNULL, 'stderr': subprocess.\n DEVNULL}\n ping_output = subprocess.run(command, timeout=timeout_s +\n SUBPROCESS_TIMEOUT_EXTRA, check=False, **extra_args)\n return ping_output\n\n\ndef handle_socket_error(e, errors=Errors.RAISE, **log_kwargs):\n if errors == Errors.RAISE:\n raise e\n if errors in {Errors.WARN, Errors.LOG}:\n LOGGER.error('%s with socket: %s', type(e).__name__, e)\n LOG_HELPER.log(socket=log_kwargs)\n elif errors == Errors.IGNORE:\n LOGGER.debug('Suppressing %s with socket: %s', type(e).__name__, e)\n LOG_HELPER.log(log_helper_log_level='debug', socket=log_kwargs)\n else:\n error_levels = {('Errors.' + errors.name) for errors in Errors}\n LOGGER.critical(\n 'Error level for %s.handle_socket_error must be one of %r, not %r; assuming raise'\n , __file__, error_levels, errors)\n LOGGER.info('Stack trace:', stack_info=True)\n raise e\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\ndef recieve_all(sock, data_length=None, timeout_s=None, errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (data_length if data_length else MAX_DATA_SIZE -\n buffer_size)\n while bytes_remaining > 0 and (not start_time_recieve or not timeout_s or\n brokkr.utils.misc.monotonic_ns() - start_time_recieve * brokkr.\n utils.misc.NS_IN_S <= timeout_s * brokkr.utils.misc.NS_IN_S):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n 'First chunk of network data recieved of length %s bytes',\n len(chunk))\n LOGGER.debug('First %s bytes of first chunk: %r',\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug('Socket timed out in %s s while waiting for data',\n timeout_s)\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(e, errors=errors, socket=sock, data_length=\n data_length, n_chunks=len(chunks), bytes_remaining=\n bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f'Null {chunk!r} found in recieved socket data chunk')\n except RuntimeError as e:\n handle_socket_error(e, errors=errors, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n LOGGER.debug('%s total chunks of network data recieved', len(chunks))\n if not chunks:\n LOGGER.debug('No network data to return')\n return None\n data = b''.join(chunks)\n if data_length:\n data = data[:data_length]\n if not data:\n LOGGER.debug('Null network data recieved: %r', data)\n else:\n LOGGER.debug('Network data recieved of length %s bytes', len(data))\n LOGGER.debug('First %s bytes: %r', MAX_DATA_PRINT_LENGTH, data[:\n MAX_DATA_PRINT_LENGTH])\n return data\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\ndef netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):\n recieved_data = None\n address_tuple = host, port\n LOGGER.info('Running netcat with data %r, host %r, port %r, timeout %r',\n data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n LOGGER.debug('Created socket %r', sock)\n sock = setup_socket(sock, address_tuple, action='connect',\n timeout_s=timeout_s, errors=Errors.RAISE, error_codes_suppress=None\n )\n LOGGER.debug('Sending data %r to socket %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH], sock)\n if data_to_send is not None:\n sock.sendall(data_to_send)\n sock.shutdown(socket.SHUT_WR)\n if recieve_reply:\n LOGGER.debug('Recieving data from socket %r', sock)\n recieved_data = recieve_all(sock, timeout_s=timeout_s, errors=\n Errors.RAISE)\n sock.shutdown(socket.SHUT_RD)\n return recieved_data\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n\n\ndef ping(host, count=1, timeout_s=TIMEOUT_S_DEFAULT, record_output=False):\n if platform.system().lower() == 'windows':\n count_param = '-n'\n else:\n count_param = '-c'\n command = ['ping', count_param, str(count), '-w', str(timeout_s), host]\n LOGGER.debug('Running ping command %s ...', ' '.join(command))\n if record_output:\n extra_args = {'stdout': subprocess.PIPE, 'stderr': subprocess.PIPE,\n 'encoding': 'utf-8', 'errors': 'surrogateescape'}\n else:\n extra_args = {'stdout': subprocess.DEVNULL, 'stderr': subprocess.\n DEVNULL}\n ping_output = subprocess.run(command, timeout=timeout_s +\n SUBPROCESS_TIMEOUT_EXTRA, check=False, **extra_args)\n return ping_output\n\n\n<function token>\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\ndef recieve_all(sock, data_length=None, timeout_s=None, errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (data_length if data_length else MAX_DATA_SIZE -\n buffer_size)\n while bytes_remaining > 0 and (not start_time_recieve or not timeout_s or\n brokkr.utils.misc.monotonic_ns() - start_time_recieve * brokkr.\n utils.misc.NS_IN_S <= timeout_s * brokkr.utils.misc.NS_IN_S):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n 'First chunk of network data recieved of length %s bytes',\n len(chunk))\n LOGGER.debug('First %s bytes of first chunk: %r',\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug('Socket timed out in %s s while waiting for data',\n timeout_s)\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(e, errors=errors, socket=sock, data_length=\n data_length, n_chunks=len(chunks), bytes_remaining=\n bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f'Null {chunk!r} found in recieved socket data chunk')\n except RuntimeError as e:\n handle_socket_error(e, errors=errors, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n LOGGER.debug('%s total chunks of network data recieved', len(chunks))\n if not chunks:\n LOGGER.debug('No network data to return')\n return None\n data = b''.join(chunks)\n if data_length:\n data = data[:data_length]\n if not data:\n LOGGER.debug('Null network data recieved: %r', data)\n else:\n LOGGER.debug('Network data recieved of length %s bytes', len(data))\n LOGGER.debug('First %s bytes: %r', MAX_DATA_PRINT_LENGTH, data[:\n MAX_DATA_PRINT_LENGTH])\n return data\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\ndef netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):\n recieved_data = None\n address_tuple = host, port\n LOGGER.info('Running netcat with data %r, host %r, port %r, timeout %r',\n data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n LOGGER.debug('Created socket %r', sock)\n sock = setup_socket(sock, address_tuple, action='connect',\n timeout_s=timeout_s, errors=Errors.RAISE, error_codes_suppress=None\n )\n LOGGER.debug('Sending data %r to socket %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH], sock)\n if data_to_send is not None:\n sock.sendall(data_to_send)\n sock.shutdown(socket.SHUT_WR)\n if recieve_reply:\n LOGGER.debug('Recieving data from socket %r', sock)\n recieved_data = recieve_all(sock, timeout_s=timeout_s, errors=\n Errors.RAISE)\n sock.shutdown(socket.SHUT_RD)\n return recieved_data\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\ndef recieve_all(sock, data_length=None, timeout_s=None, errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (data_length if data_length else MAX_DATA_SIZE -\n buffer_size)\n while bytes_remaining > 0 and (not start_time_recieve or not timeout_s or\n brokkr.utils.misc.monotonic_ns() - start_time_recieve * brokkr.\n utils.misc.NS_IN_S <= timeout_s * brokkr.utils.misc.NS_IN_S):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n 'First chunk of network data recieved of length %s bytes',\n len(chunk))\n LOGGER.debug('First %s bytes of first chunk: %r',\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug('Socket timed out in %s s while waiting for data',\n timeout_s)\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(e, errors=errors, socket=sock, data_length=\n data_length, n_chunks=len(chunks), bytes_remaining=\n bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f'Null {chunk!r} found in recieved socket data chunk')\n except RuntimeError as e:\n handle_socket_error(e, errors=errors, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n LOGGER.debug('%s total chunks of network data recieved', len(chunks))\n if not chunks:\n LOGGER.debug('No network data to return')\n return None\n data = b''.join(chunks)\n if data_length:\n data = data[:data_length]\n if not data:\n LOGGER.debug('Null network data recieved: %r', data)\n else:\n LOGGER.debug('Network data recieved of length %s bytes', len(data))\n LOGGER.debug('First %s bytes: %r', MAX_DATA_PRINT_LENGTH, data[:\n MAX_DATA_PRINT_LENGTH])\n return data\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\ndef netcat(data_to_send, host, port, recieve_reply=True, timeout_s=1):\n recieved_data = None\n address_tuple = host, port\n LOGGER.info('Running netcat with data %r, host %r, port %r, timeout %r',\n data_to_send[:MAX_DATA_PRINT_LENGTH], host, port, timeout_s)\n with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:\n LOGGER.debug('Created socket %r', sock)\n sock = setup_socket(sock, address_tuple, action='connect',\n timeout_s=timeout_s, errors=Errors.RAISE, error_codes_suppress=None\n )\n LOGGER.debug('Sending data %r to socket %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH], sock)\n if data_to_send is not None:\n sock.sendall(data_to_send)\n sock.shutdown(socket.SHUT_WR)\n if recieve_reply:\n LOGGER.debug('Recieving data from socket %r', sock)\n recieved_data = recieve_all(sock, timeout_s=timeout_s, errors=\n Errors.RAISE)\n sock.shutdown(socket.SHUT_RD)\n return recieved_data\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\ndef recieve_all(sock, data_length=None, timeout_s=None, errors=Errors.RAISE,\n buffer_size=BUFFER_SIZE_DEFAULT):\n start_time_recieve = None\n chunks = []\n bytes_remaining = (data_length if data_length else MAX_DATA_SIZE -\n buffer_size)\n while bytes_remaining > 0 and (not start_time_recieve or not timeout_s or\n brokkr.utils.misc.monotonic_ns() - start_time_recieve * brokkr.\n utils.misc.NS_IN_S <= timeout_s * brokkr.utils.misc.NS_IN_S):\n try:\n chunk = sock.recv(buffer_size)\n if not chunks:\n LOGGER.debug(\n 'First chunk of network data recieved of length %s bytes',\n len(chunk))\n LOGGER.debug('First %s bytes of first chunk: %r',\n MAX_DATA_PRINT_LENGTH, chunk[:MAX_DATA_PRINT_LENGTH])\n except socket.timeout as e:\n LOGGER.debug('Socket timed out in %s s while waiting for data',\n timeout_s)\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n except Exception as e:\n handle_socket_error(e, errors=errors, socket=sock, data_length=\n data_length, n_chunks=len(chunks), bytes_remaining=\n bytes_remaining)\n return None\n if start_time_recieve is None:\n start_time_recieve = brokkr.utils.misc.monotonic_ns()\n if not chunk:\n if not data_length:\n errors = Errors.IGNORE\n try:\n raise RuntimeError(\n f'Null {chunk!r} found in recieved socket data chunk')\n except RuntimeError as e:\n handle_socket_error(e, errors=errors, socket=sock,\n data_length=data_length, n_chunks=len(chunks),\n bytes_remaining=bytes_remaining)\n break\n bytes_remaining -= len(chunk)\n buffer_size = min([buffer_size, bytes_remaining])\n chunks.append(chunk)\n LOGGER.debug('%s total chunks of network data recieved', len(chunks))\n if not chunks:\n LOGGER.debug('No network data to return')\n return None\n data = b''.join(chunks)\n if data_length:\n data = data[:data_length]\n if not data:\n LOGGER.debug('Null network data recieved: %r', data)\n else:\n LOGGER.debug('Network data recieved of length %s bytes', len(data))\n LOGGER.debug('First %s bytes: %r', MAX_DATA_PRINT_LENGTH, data[:\n MAX_DATA_PRINT_LENGTH])\n return data\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\n<function token>\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef setup_socket(sock, address_tuple, action, timeout_s=None, errors=Errors\n .RAISE, error_codes_suppress=ERROR_CODES_ADDRESS_LINK_DOWN):\n valid_actions = {'bind', 'connect'}\n if action is not None and action not in valid_actions:\n LOGGER.critical('Action for %s.setup_socket must be one of %r, not %r',\n __file__, valid_actions, action)\n LOGGER.info('Stack trace:', stack_info=True)\n raise ValueError(\n f'Action must be one of {valid_actions!r}, not {action!r}')\n try:\n sock.settimeout(timeout_s)\n if action is not None:\n getattr(sock, action)(address_tuple)\n except Exception as e:\n if isinstance(e, OSError):\n if error_codes_suppress and (isinstance(e, socket.timeout) or e\n .errno and e.errno in error_codes_suppress):\n errors = Errors.IGNORE\n handle_socket_error(e, errors=errors, socket=sock, address=\n address_tuple, action=action)\n return None\n else:\n LOGGER.debug('Listening on socket %r', sock)\n return sock\n\n\n<function token>\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\n<function token>\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\n<function token>\n\n\[email protected]_logging\ndef netcat_main(data_to_send=None, recieve_reply=True, **netcat_args):\n if data_to_send is not None:\n LOGGER.debug('Encoding input data %r to bytes', data_to_send[:\n MAX_DATA_PRINT_LENGTH])\n data_to_send = data_to_send.encode()\n LOGGER.debug('Encoded data: %r', data_to_send[:\n MAX_DATA_PRINT_LENGTH].hex())\n recieved_data = netcat(data_to_send, recieve_reply=recieve_reply, **\n netcat_args)\n if recieve_reply:\n try:\n LOGGER.debug('First %s bytes of recieved data: %r',\n MAX_DATA_PRINT_LENGTH, recieved_data[:MAX_DATA_PRINT_LENGTH\n ].hex())\n recieved_data = recieved_data.decode()\n except Exception:\n pass\n LOGGER.info('Recieved responce:\\n')\n print(recieved_data)\n return recieved_data\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef read_socket_data(host, port, action, socket_family=socket.AF_INET,\n socket_type=socket.SOCK_STREAM, timeout_s=TIMEOUT_S_DEFAULT, errors=\n Errors.RAISE, shutdown=False, **recieve_kwargs):\n address_tuple = host, port\n LOGGER.debug(\n 'Creating socket of family %r, type %r with host %r, port %r, action %r, timeout %r'\n , socket_family, socket_type, host, port, action, timeout_s)\n with socket.socket(socket_family, socket_type) as sock:\n LOGGER.debug('Created socket %r', sock)\n setup_sock = setup_socket(sock, address_tuple, action, timeout_s=\n timeout_s, errors=errors)\n if setup_sock is not None:\n sock = setup_sock\n LOGGER.debug('Waiting for data from socket %r with kwargs %r',\n sock, recieve_kwargs)\n data = recieve_all(sock, timeout_s=timeout_s, errors=errors, **\n recieve_kwargs)\n else:\n data = None\n if shutdown:\n try:\n LOGGER.debug('Shutting down socket %r', sock)\n sock.shutdown(socket.SHUT_RDWR)\n except Exception as e:\n handle_socket_error(e, errors=Errors.IGNORE, socket=sock,\n address=address_tuple, action=action)\n return data\n\n\n<function token>\n<function token>\n",
"<docstring token>\n<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,728 |
209d4e8b2ab80799f21df756069fd2a4a598ff46
|
import re
import os
import subprocess
import gzip
repeat = '/mnt/gluster/home/sonal.singhal1/reference/taeGut1.repeatMaskerBlast.repeatLibrary20140131.out'
vcf = '/mnt/gluster/home/sonal.singhal1/ZF/after_vqsr/by_chr/gatk.ug.all_zf.%s.coverage.filtered.vqsr.vcf.gz'
chrs = { 'chr10': 20806668, 'chr11': 21403021, 'chr12': 21576510, 'chr13': 16962381,
'chr14': 16419078, 'chr15': 14428146, 'chr16': 9909, 'chr17': 11648728,
'chr18': 11201131, 'chr19': 11587733, 'chr1A': 73657157, 'chr1B': 1083483,
'chr1': 118548696, 'chr20': 15652063, 'chr21': 5979137, 'chr22': 3370227,
'chr23': 6196912, 'chr24': 8021379, 'chr25': 1275379, 'chr26': 4907541,
'chr27': 4618897, 'chr28': 4963201, 'chr2': 156412533, 'chr3': 112617285,
'chr4A': 20704505, 'chr4': 69780378, 'chr5': 62374962, 'chr6': 36305782,
'chr7': 39844632, 'chr8': 27993427, 'chr9': 27241186, 'chrLG2': 109741,
'chrLG5': 16416, 'chrLGE22': 883365, 'chrZ': 72861351}
repeats = {}
f = open(repeat, 'r')
for l in f:
if re.search('^\s+\d+', l):
d = re.split('\s+', l.rstrip())
if d[5] in chrs:
if d[5] not in repeats:
repeats[d[5]] = {}
start = int(d[6])
end = int(d[7]) + 1
for pos in range(start, end):
repeats[d[5]][str(pos)] = 1
f.close()
for chr in chrs:
vcffile = vcf % chr
out = vcffile.replace('coverage.filtered', 'coverage.filtered.repeatmasked')
f = gzip.open(vcffile, 'r')
o = gzip.open(out, 'w')
for l in f:
l = l.rstrip()
if re.search('^#', l):
o.write(l + '\n')
else:
if re.search('PASS', l):
d = re.split('\t', l)
if d[0] in repeats:
if d[1] not in repeats[d[0]]:
o.write(l + '\n')
else:
o.write(l + '\n')
f.close()
o.close()
|
[
"import re\nimport os\nimport subprocess\nimport gzip\n\nrepeat = '/mnt/gluster/home/sonal.singhal1/reference/taeGut1.repeatMaskerBlast.repeatLibrary20140131.out'\nvcf = '/mnt/gluster/home/sonal.singhal1/ZF/after_vqsr/by_chr/gatk.ug.all_zf.%s.coverage.filtered.vqsr.vcf.gz' \n\nchrs = { 'chr10': 20806668, 'chr11': 21403021, 'chr12': 21576510, 'chr13': 16962381,\n 'chr14': 16419078, 'chr15': 14428146, 'chr16': 9909, 'chr17': 11648728,\n 'chr18': 11201131, 'chr19': 11587733, 'chr1A': 73657157, 'chr1B': 1083483,\n 'chr1': 118548696, 'chr20': 15652063, 'chr21': 5979137, 'chr22': 3370227,\n 'chr23': 6196912, 'chr24': 8021379, 'chr25': 1275379, 'chr26': 4907541,\n 'chr27': 4618897, 'chr28': 4963201, 'chr2': 156412533, 'chr3': 112617285,\n 'chr4A': 20704505, 'chr4': 69780378, 'chr5': 62374962, 'chr6': 36305782,\n 'chr7': 39844632, 'chr8': 27993427, 'chr9': 27241186, 'chrLG2': 109741,\n 'chrLG5': 16416, 'chrLGE22': 883365, 'chrZ': 72861351}\n\nrepeats = {}\nf = open(repeat, 'r')\nfor l in f:\n\tif re.search('^\\s+\\d+', l):\n\t\td = re.split('\\s+', l.rstrip())\n\t\tif d[5] in chrs:\n\t\t\tif d[5] not in repeats:\n\t\t\t\trepeats[d[5]] = {}\n\t\t\tstart = int(d[6])\n\t\t\tend = int(d[7]) + 1\n\n\t\t\tfor pos in range(start, end):\n\t\t\t\trepeats[d[5]][str(pos)] = 1\nf.close()\n\nfor chr in chrs:\n\tvcffile = vcf % chr\n\tout = vcffile.replace('coverage.filtered', 'coverage.filtered.repeatmasked')\n\t\n\tf = gzip.open(vcffile, 'r')\n\to = gzip.open(out, 'w')\n\t\n\tfor l in f:\n\t\tl = l.rstrip()\n\t\tif re.search('^#', l):\n\t\t\to.write(l + '\\n')\n\t\telse:\n\t\t\tif re.search('PASS', l):\n\t\t\t\td = re.split('\\t', l)\n\t\t\t\tif d[0] in repeats:\n\t\t\t\t\tif d[1] not in repeats[d[0]]:\n\t\t\t\t\t\to.write(l + '\\n')\n\t\t\t\telse:\n\t\t\t\t\to.write(l + '\\n')\n\tf.close()\n\to.close()\n",
"import re\nimport os\nimport subprocess\nimport gzip\nrepeat = (\n '/mnt/gluster/home/sonal.singhal1/reference/taeGut1.repeatMaskerBlast.repeatLibrary20140131.out'\n )\nvcf = (\n '/mnt/gluster/home/sonal.singhal1/ZF/after_vqsr/by_chr/gatk.ug.all_zf.%s.coverage.filtered.vqsr.vcf.gz'\n )\nchrs = {'chr10': 20806668, 'chr11': 21403021, 'chr12': 21576510, 'chr13': \n 16962381, 'chr14': 16419078, 'chr15': 14428146, 'chr16': 9909, 'chr17':\n 11648728, 'chr18': 11201131, 'chr19': 11587733, 'chr1A': 73657157,\n 'chr1B': 1083483, 'chr1': 118548696, 'chr20': 15652063, 'chr21': \n 5979137, 'chr22': 3370227, 'chr23': 6196912, 'chr24': 8021379, 'chr25':\n 1275379, 'chr26': 4907541, 'chr27': 4618897, 'chr28': 4963201, 'chr2': \n 156412533, 'chr3': 112617285, 'chr4A': 20704505, 'chr4': 69780378,\n 'chr5': 62374962, 'chr6': 36305782, 'chr7': 39844632, 'chr8': 27993427,\n 'chr9': 27241186, 'chrLG2': 109741, 'chrLG5': 16416, 'chrLGE22': 883365,\n 'chrZ': 72861351}\nrepeats = {}\nf = open(repeat, 'r')\nfor l in f:\n if re.search('^\\\\s+\\\\d+', l):\n d = re.split('\\\\s+', l.rstrip())\n if d[5] in chrs:\n if d[5] not in repeats:\n repeats[d[5]] = {}\n start = int(d[6])\n end = int(d[7]) + 1\n for pos in range(start, end):\n repeats[d[5]][str(pos)] = 1\nf.close()\nfor chr in chrs:\n vcffile = vcf % chr\n out = vcffile.replace('coverage.filtered', 'coverage.filtered.repeatmasked'\n )\n f = gzip.open(vcffile, 'r')\n o = gzip.open(out, 'w')\n for l in f:\n l = l.rstrip()\n if re.search('^#', l):\n o.write(l + '\\n')\n elif re.search('PASS', l):\n d = re.split('\\t', l)\n if d[0] in repeats:\n if d[1] not in repeats[d[0]]:\n o.write(l + '\\n')\n else:\n o.write(l + '\\n')\n f.close()\n o.close()\n",
"<import token>\nrepeat = (\n '/mnt/gluster/home/sonal.singhal1/reference/taeGut1.repeatMaskerBlast.repeatLibrary20140131.out'\n )\nvcf = (\n '/mnt/gluster/home/sonal.singhal1/ZF/after_vqsr/by_chr/gatk.ug.all_zf.%s.coverage.filtered.vqsr.vcf.gz'\n )\nchrs = {'chr10': 20806668, 'chr11': 21403021, 'chr12': 21576510, 'chr13': \n 16962381, 'chr14': 16419078, 'chr15': 14428146, 'chr16': 9909, 'chr17':\n 11648728, 'chr18': 11201131, 'chr19': 11587733, 'chr1A': 73657157,\n 'chr1B': 1083483, 'chr1': 118548696, 'chr20': 15652063, 'chr21': \n 5979137, 'chr22': 3370227, 'chr23': 6196912, 'chr24': 8021379, 'chr25':\n 1275379, 'chr26': 4907541, 'chr27': 4618897, 'chr28': 4963201, 'chr2': \n 156412533, 'chr3': 112617285, 'chr4A': 20704505, 'chr4': 69780378,\n 'chr5': 62374962, 'chr6': 36305782, 'chr7': 39844632, 'chr8': 27993427,\n 'chr9': 27241186, 'chrLG2': 109741, 'chrLG5': 16416, 'chrLGE22': 883365,\n 'chrZ': 72861351}\nrepeats = {}\nf = open(repeat, 'r')\nfor l in f:\n if re.search('^\\\\s+\\\\d+', l):\n d = re.split('\\\\s+', l.rstrip())\n if d[5] in chrs:\n if d[5] not in repeats:\n repeats[d[5]] = {}\n start = int(d[6])\n end = int(d[7]) + 1\n for pos in range(start, end):\n repeats[d[5]][str(pos)] = 1\nf.close()\nfor chr in chrs:\n vcffile = vcf % chr\n out = vcffile.replace('coverage.filtered', 'coverage.filtered.repeatmasked'\n )\n f = gzip.open(vcffile, 'r')\n o = gzip.open(out, 'w')\n for l in f:\n l = l.rstrip()\n if re.search('^#', l):\n o.write(l + '\\n')\n elif re.search('PASS', l):\n d = re.split('\\t', l)\n if d[0] in repeats:\n if d[1] not in repeats[d[0]]:\n o.write(l + '\\n')\n else:\n o.write(l + '\\n')\n f.close()\n o.close()\n",
"<import token>\n<assignment token>\nfor l in f:\n if re.search('^\\\\s+\\\\d+', l):\n d = re.split('\\\\s+', l.rstrip())\n if d[5] in chrs:\n if d[5] not in repeats:\n repeats[d[5]] = {}\n start = int(d[6])\n end = int(d[7]) + 1\n for pos in range(start, end):\n repeats[d[5]][str(pos)] = 1\nf.close()\nfor chr in chrs:\n vcffile = vcf % chr\n out = vcffile.replace('coverage.filtered', 'coverage.filtered.repeatmasked'\n )\n f = gzip.open(vcffile, 'r')\n o = gzip.open(out, 'w')\n for l in f:\n l = l.rstrip()\n if re.search('^#', l):\n o.write(l + '\\n')\n elif re.search('PASS', l):\n d = re.split('\\t', l)\n if d[0] in repeats:\n if d[1] not in repeats[d[0]]:\n o.write(l + '\\n')\n else:\n o.write(l + '\\n')\n f.close()\n o.close()\n",
"<import token>\n<assignment token>\n<code token>\n"
] | false |
98,729 |
27bc4e498763b1d26daea3a86fdac8a96c544f61
|
if __name__ == "__main__":
t = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)
#s = "cats"
#print("".join(tuple(list(s))))
t2 = ("cats",)
print(t2[0])
|
[
"if __name__ == \"__main__\":\n t = (0, 1, 2, 3, 4, 5, 6, 7, 8, 9)\n #s = \"cats\"\n #print(\"\".join(tuple(list(s))))\n t2 = (\"cats\",)\n print(t2[0])\n",
"if __name__ == '__main__':\n t = 0, 1, 2, 3, 4, 5, 6, 7, 8, 9\n t2 = 'cats',\n print(t2[0])\n",
"<code token>\n"
] | false |
98,730 |
00c2018e1b9e2604fed4f87867414681e8eb4e12
|
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import SubsetRandomSampler, DataLoader
from torch.autograd import Variable
import argparse
from tqdm import trange, tqdm
import os
import wandb
import numpy as np
from data.dataset import Concrete
from model import feedforward, MyEnsemble, cnn, feedforward_50, RMSELoss
from cross_val import cross_val
# *Argument parser
parser = argparse.ArgumentParser(
description='Conditional Text Generation: Train Discriminator'
)
parser.add_argument('--maxepoch', default=1000, help='maximum iteration (default=1000)')
parser.add_argument('--agr_maxepoch', default=1000, help='maximum aggregate iteration (default=1000)')
parser.add_argument('--lr', default=0.1, help='learing rate (default=0.1)')
parser.add_argument('--batch', default=32, help='minibatch size (default=32)')
parser.add_argument('--b', default=2, help='number of bag (default=2)')
parser.add_argument('--seed', default=2, help='number of bag (default=2)')
parser.add_argument('--bsize', default=100, help='number of bag size sample (default=100)')
parser.add_argument('--local', default=False, action='store_true')
parser.add_argument('--wandb', default=False, action='store_true')
parser.add_argument('--trainable_bag', default=False, action='store_true')
parser.add_argument('--b_max', default=2)
parser.add_argument('--k', default=10)
parser.add_argument('--model', default='feedforward')
parser.add_argument('--quiet', default=False, action='store_true')
args = parser.parse_args()
cloud_dir = '/content/gdrive/My Drive/'
saved_model_path = f'trained'
if not args.local: saved_model_path = cloud_dir + saved_model_path
if not os.path.exists(saved_model_path): os.makedirs(saved_model_path)
b = int(args.b)
b_max = int(args.b_max)
random_seed = int(args.seed)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
np.random.seed(random_seed)
torch.manual_seed(random_seed)
random_seed = np.random.randint(100, size=b_max)
# Creating dataset
batch_size = int(args.batch)
val_batch_size = int(args.batch)
validation_split = .8
dataset_folder = 'data/'
# data = Concrete(dataset_folder+'concrete.csv', args.model)
data = Concrete(dataset_folder+'concrete_no_day1.csv', args.model)
# Creating dataset split
data_size = len(data)
indices = list(range(data_size))
split = int(np.floor(validation_split * data_size))
np.random.shuffle(indices)
if args.wandb: wandb.init(project="concrete-mix-design", name=f'bootstrap', notes=f'{b}')
# Creating PT data samplers and loaders:
train_indices, test_indices = indices[:split], indices[split:]
np.random.seed(random_seed[int(args.b)])
data.X_mean = data.X[train_indices[:]].mean(dim=0)
data.X_std = data.X[train_indices[:]].std(dim=0)
data.y_mean = data.y[train_indices[:]].mean(dim=0)
data.y_std = data.y[train_indices[:]].std(dim=0)
train_indices = np.random.choice(train_indices, size=int(np.floor(len(train_indices) * .7)))
# Hyperparameter
learning_rate = float(args.lr)
max_epoch = int(args.maxepoch)
momentum=0.1
k = int(args.k)
if args.model == 'feedforward':
model = feedforward()
elif args.model == 'feedforward_50':
model = feedforward_50()
else:
model = cnn()
model.to(device)
optimizer = optim.Adadelta(model.parameters(), lr=learning_rate, rho=0.99, eps=1.0e-8)
criterion = nn.MSELoss()
best_params = cross_val(train_indices, optimizer, criterion, model, data, batch_size, k, max_epoch)
model.load_state_dict(best_params)
# if args.wandb: wandb.watch(model)
# for epoch in trange(0, max_epoch, total=max_epoch, initial=0):
# model.train()
# for it, (X, y) in enumerate(train_loader):
# model.zero_grad()
# inputs = Variable(X, requires_grad=True).to(device)
# output = model.forward(inputs)
# target = Variable(y.unsqueeze(1)).to(device)
# loss = criterion(output, target)
# # l1_norm = 0.
# # for p in model.parameters():
# # l1_norm += 1.0e-5*torch.norm(p, p=1)
# # loss += l1_norm
# loss.backward()
# # nn.utils.clip_grad_value_(model.parameters(), 10)
# if args.wandb:
# wandb.log({"Train Loss": loss.data.cpu().item()}, step=epoch)
# if it == 0 and not args.quiet:
# tqdm.write(f'{float(output[0].cpu().data)} ==> {float(target[0].cpu().data)}')
# optimizer.step()
# optimizer.zero_grad()
# model.eval()
# val_loss = 0.
# for it, (X, y) in enumerate(validation_loader):
# model.zero_grad()
# inputs = Variable(X, requires_grad=True).to(device)
# output = model.forward(inputs)
# target = Variable(y.unsqueeze(1)).to(device)
# val_loss += F.mse_loss(output, target, reduction='sum').sum().data.cpu().item()
# if args.wandb: wandb.log({"Validation Loss": val_loss/len(val_indices)}, step=epoch)
if args.wandb:
train_loss = np.loadtxt('train.csv')
validation_loss = np.loadtxt('validation.csv')
for i, (t, v) in enumerate(zip(train_loss, validation_loss)):
wandb.log({"Train Loss": t}, step=i+1)
wandb.log({"Validation Loss": v}, step=i+1)
torch.save(model.state_dict(), f'{saved_model_path}/model-{b}.pth')
|
[
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torch.utils.data import SubsetRandomSampler, DataLoader\nfrom torch.autograd import Variable\n\nimport argparse\nfrom tqdm import trange, tqdm\nimport os\nimport wandb\n\nimport numpy as np\n\nfrom data.dataset import Concrete\nfrom model import feedforward, MyEnsemble, cnn, feedforward_50, RMSELoss\n\nfrom cross_val import cross_val\n\n# *Argument parser\nparser = argparse.ArgumentParser(\n description='Conditional Text Generation: Train Discriminator'\n)\n\nparser.add_argument('--maxepoch', default=1000, help='maximum iteration (default=1000)')\nparser.add_argument('--agr_maxepoch', default=1000, help='maximum aggregate iteration (default=1000)')\nparser.add_argument('--lr', default=0.1, help='learing rate (default=0.1)')\nparser.add_argument('--batch', default=32, help='minibatch size (default=32)')\nparser.add_argument('--b', default=2, help='number of bag (default=2)')\nparser.add_argument('--seed', default=2, help='number of bag (default=2)')\nparser.add_argument('--bsize', default=100, help='number of bag size sample (default=100)')\nparser.add_argument('--local', default=False, action='store_true')\nparser.add_argument('--wandb', default=False, action='store_true')\nparser.add_argument('--trainable_bag', default=False, action='store_true')\nparser.add_argument('--b_max', default=2)\nparser.add_argument('--k', default=10)\nparser.add_argument('--model', default='feedforward')\nparser.add_argument('--quiet', default=False, action='store_true')\n\n\nargs = parser.parse_args()\ncloud_dir = '/content/gdrive/My Drive/'\nsaved_model_path = f'trained'\nif not args.local: saved_model_path = cloud_dir + saved_model_path\nif not os.path.exists(saved_model_path): os.makedirs(saved_model_path)\nb = int(args.b)\nb_max = int(args.b_max)\nrandom_seed = int(args.seed)\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nnp.random.seed(random_seed)\ntorch.manual_seed(random_seed)\n\nrandom_seed = np.random.randint(100, size=b_max)\n\n# Creating dataset\nbatch_size = int(args.batch)\nval_batch_size = int(args.batch)\nvalidation_split = .8\ndataset_folder = 'data/'\n# data = Concrete(dataset_folder+'concrete.csv', args.model)\ndata = Concrete(dataset_folder+'concrete_no_day1.csv', args.model)\n\n# Creating dataset split\ndata_size = len(data)\nindices = list(range(data_size))\nsplit = int(np.floor(validation_split * data_size))\nnp.random.shuffle(indices)\n\nif args.wandb: wandb.init(project=\"concrete-mix-design\", name=f'bootstrap', notes=f'{b}')\n\n# Creating PT data samplers and loaders:\ntrain_indices, test_indices = indices[:split], indices[split:]\nnp.random.seed(random_seed[int(args.b)])\n\ndata.X_mean = data.X[train_indices[:]].mean(dim=0)\ndata.X_std = data.X[train_indices[:]].std(dim=0)\n\ndata.y_mean = data.y[train_indices[:]].mean(dim=0)\ndata.y_std = data.y[train_indices[:]].std(dim=0)\n\ntrain_indices = np.random.choice(train_indices, size=int(np.floor(len(train_indices) * .7)))\n\n# Hyperparameter\nlearning_rate = float(args.lr)\nmax_epoch = int(args.maxepoch)\nmomentum=0.1\nk = int(args.k)\n\nif args.model == 'feedforward':\n model = feedforward()\nelif args.model == 'feedforward_50':\n model = feedforward_50()\nelse:\n model = cnn()\nmodel.to(device)\n\noptimizer = optim.Adadelta(model.parameters(), lr=learning_rate, rho=0.99, eps=1.0e-8)\ncriterion = nn.MSELoss()\n\nbest_params = cross_val(train_indices, optimizer, criterion, model, data, batch_size, k, max_epoch)\nmodel.load_state_dict(best_params)\n# if args.wandb: wandb.watch(model)\n\n# for epoch in trange(0, max_epoch, total=max_epoch, initial=0):\n# model.train()\n# for it, (X, y) in enumerate(train_loader):\n# model.zero_grad()\n# inputs = Variable(X, requires_grad=True).to(device)\n# output = model.forward(inputs)\n# target = Variable(y.unsqueeze(1)).to(device)\n# loss = criterion(output, target)\n# # l1_norm = 0.\n# # for p in model.parameters():\n# # l1_norm += 1.0e-5*torch.norm(p, p=1)\n# # loss += l1_norm\n# loss.backward()\n# # nn.utils.clip_grad_value_(model.parameters(), 10)\n# if args.wandb:\n# wandb.log({\"Train Loss\": loss.data.cpu().item()}, step=epoch)\n# if it == 0 and not args.quiet:\n# tqdm.write(f'{float(output[0].cpu().data)} ==> {float(target[0].cpu().data)}')\n\n# optimizer.step()\n# optimizer.zero_grad()\n\n# model.eval()\n# val_loss = 0.\n# for it, (X, y) in enumerate(validation_loader):\n# model.zero_grad()\n# inputs = Variable(X, requires_grad=True).to(device)\n# output = model.forward(inputs)\n# target = Variable(y.unsqueeze(1)).to(device)\n# val_loss += F.mse_loss(output, target, reduction='sum').sum().data.cpu().item()\n# if args.wandb: wandb.log({\"Validation Loss\": val_loss/len(val_indices)}, step=epoch)\nif args.wandb:\n train_loss = np.loadtxt('train.csv')\n validation_loss = np.loadtxt('validation.csv')\n for i, (t, v) in enumerate(zip(train_loss, validation_loss)):\n wandb.log({\"Train Loss\": t}, step=i+1)\n wandb.log({\"Validation Loss\": v}, step=i+1)\n \ntorch.save(model.state_dict(), f'{saved_model_path}/model-{b}.pth')\n\n",
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torch.utils.data import SubsetRandomSampler, DataLoader\nfrom torch.autograd import Variable\nimport argparse\nfrom tqdm import trange, tqdm\nimport os\nimport wandb\nimport numpy as np\nfrom data.dataset import Concrete\nfrom model import feedforward, MyEnsemble, cnn, feedforward_50, RMSELoss\nfrom cross_val import cross_val\nparser = argparse.ArgumentParser(description=\n 'Conditional Text Generation: Train Discriminator')\nparser.add_argument('--maxepoch', default=1000, help=\n 'maximum iteration (default=1000)')\nparser.add_argument('--agr_maxepoch', default=1000, help=\n 'maximum aggregate iteration (default=1000)')\nparser.add_argument('--lr', default=0.1, help='learing rate (default=0.1)')\nparser.add_argument('--batch', default=32, help='minibatch size (default=32)')\nparser.add_argument('--b', default=2, help='number of bag (default=2)')\nparser.add_argument('--seed', default=2, help='number of bag (default=2)')\nparser.add_argument('--bsize', default=100, help=\n 'number of bag size sample (default=100)')\nparser.add_argument('--local', default=False, action='store_true')\nparser.add_argument('--wandb', default=False, action='store_true')\nparser.add_argument('--trainable_bag', default=False, action='store_true')\nparser.add_argument('--b_max', default=2)\nparser.add_argument('--k', default=10)\nparser.add_argument('--model', default='feedforward')\nparser.add_argument('--quiet', default=False, action='store_true')\nargs = parser.parse_args()\ncloud_dir = '/content/gdrive/My Drive/'\nsaved_model_path = f'trained'\nif not args.local:\n saved_model_path = cloud_dir + saved_model_path\nif not os.path.exists(saved_model_path):\n os.makedirs(saved_model_path)\nb = int(args.b)\nb_max = int(args.b_max)\nrandom_seed = int(args.seed)\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nnp.random.seed(random_seed)\ntorch.manual_seed(random_seed)\nrandom_seed = np.random.randint(100, size=b_max)\nbatch_size = int(args.batch)\nval_batch_size = int(args.batch)\nvalidation_split = 0.8\ndataset_folder = 'data/'\ndata = Concrete(dataset_folder + 'concrete_no_day1.csv', args.model)\ndata_size = len(data)\nindices = list(range(data_size))\nsplit = int(np.floor(validation_split * data_size))\nnp.random.shuffle(indices)\nif args.wandb:\n wandb.init(project='concrete-mix-design', name=f'bootstrap', notes=f'{b}')\ntrain_indices, test_indices = indices[:split], indices[split:]\nnp.random.seed(random_seed[int(args.b)])\ndata.X_mean = data.X[train_indices[:]].mean(dim=0)\ndata.X_std = data.X[train_indices[:]].std(dim=0)\ndata.y_mean = data.y[train_indices[:]].mean(dim=0)\ndata.y_std = data.y[train_indices[:]].std(dim=0)\ntrain_indices = np.random.choice(train_indices, size=int(np.floor(len(\n train_indices) * 0.7)))\nlearning_rate = float(args.lr)\nmax_epoch = int(args.maxepoch)\nmomentum = 0.1\nk = int(args.k)\nif args.model == 'feedforward':\n model = feedforward()\nelif args.model == 'feedforward_50':\n model = feedforward_50()\nelse:\n model = cnn()\nmodel.to(device)\noptimizer = optim.Adadelta(model.parameters(), lr=learning_rate, rho=0.99,\n eps=1e-08)\ncriterion = nn.MSELoss()\nbest_params = cross_val(train_indices, optimizer, criterion, model, data,\n batch_size, k, max_epoch)\nmodel.load_state_dict(best_params)\nif args.wandb:\n train_loss = np.loadtxt('train.csv')\n validation_loss = np.loadtxt('validation.csv')\n for i, (t, v) in enumerate(zip(train_loss, validation_loss)):\n wandb.log({'Train Loss': t}, step=i + 1)\n wandb.log({'Validation Loss': v}, step=i + 1)\ntorch.save(model.state_dict(), f'{saved_model_path}/model-{b}.pth')\n",
"<import token>\nparser = argparse.ArgumentParser(description=\n 'Conditional Text Generation: Train Discriminator')\nparser.add_argument('--maxepoch', default=1000, help=\n 'maximum iteration (default=1000)')\nparser.add_argument('--agr_maxepoch', default=1000, help=\n 'maximum aggregate iteration (default=1000)')\nparser.add_argument('--lr', default=0.1, help='learing rate (default=0.1)')\nparser.add_argument('--batch', default=32, help='minibatch size (default=32)')\nparser.add_argument('--b', default=2, help='number of bag (default=2)')\nparser.add_argument('--seed', default=2, help='number of bag (default=2)')\nparser.add_argument('--bsize', default=100, help=\n 'number of bag size sample (default=100)')\nparser.add_argument('--local', default=False, action='store_true')\nparser.add_argument('--wandb', default=False, action='store_true')\nparser.add_argument('--trainable_bag', default=False, action='store_true')\nparser.add_argument('--b_max', default=2)\nparser.add_argument('--k', default=10)\nparser.add_argument('--model', default='feedforward')\nparser.add_argument('--quiet', default=False, action='store_true')\nargs = parser.parse_args()\ncloud_dir = '/content/gdrive/My Drive/'\nsaved_model_path = f'trained'\nif not args.local:\n saved_model_path = cloud_dir + saved_model_path\nif not os.path.exists(saved_model_path):\n os.makedirs(saved_model_path)\nb = int(args.b)\nb_max = int(args.b_max)\nrandom_seed = int(args.seed)\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nnp.random.seed(random_seed)\ntorch.manual_seed(random_seed)\nrandom_seed = np.random.randint(100, size=b_max)\nbatch_size = int(args.batch)\nval_batch_size = int(args.batch)\nvalidation_split = 0.8\ndataset_folder = 'data/'\ndata = Concrete(dataset_folder + 'concrete_no_day1.csv', args.model)\ndata_size = len(data)\nindices = list(range(data_size))\nsplit = int(np.floor(validation_split * data_size))\nnp.random.shuffle(indices)\nif args.wandb:\n wandb.init(project='concrete-mix-design', name=f'bootstrap', notes=f'{b}')\ntrain_indices, test_indices = indices[:split], indices[split:]\nnp.random.seed(random_seed[int(args.b)])\ndata.X_mean = data.X[train_indices[:]].mean(dim=0)\ndata.X_std = data.X[train_indices[:]].std(dim=0)\ndata.y_mean = data.y[train_indices[:]].mean(dim=0)\ndata.y_std = data.y[train_indices[:]].std(dim=0)\ntrain_indices = np.random.choice(train_indices, size=int(np.floor(len(\n train_indices) * 0.7)))\nlearning_rate = float(args.lr)\nmax_epoch = int(args.maxepoch)\nmomentum = 0.1\nk = int(args.k)\nif args.model == 'feedforward':\n model = feedforward()\nelif args.model == 'feedforward_50':\n model = feedforward_50()\nelse:\n model = cnn()\nmodel.to(device)\noptimizer = optim.Adadelta(model.parameters(), lr=learning_rate, rho=0.99,\n eps=1e-08)\ncriterion = nn.MSELoss()\nbest_params = cross_val(train_indices, optimizer, criterion, model, data,\n batch_size, k, max_epoch)\nmodel.load_state_dict(best_params)\nif args.wandb:\n train_loss = np.loadtxt('train.csv')\n validation_loss = np.loadtxt('validation.csv')\n for i, (t, v) in enumerate(zip(train_loss, validation_loss)):\n wandb.log({'Train Loss': t}, step=i + 1)\n wandb.log({'Validation Loss': v}, step=i + 1)\ntorch.save(model.state_dict(), f'{saved_model_path}/model-{b}.pth')\n",
"<import token>\n<assignment token>\nparser.add_argument('--maxepoch', default=1000, help=\n 'maximum iteration (default=1000)')\nparser.add_argument('--agr_maxepoch', default=1000, help=\n 'maximum aggregate iteration (default=1000)')\nparser.add_argument('--lr', default=0.1, help='learing rate (default=0.1)')\nparser.add_argument('--batch', default=32, help='minibatch size (default=32)')\nparser.add_argument('--b', default=2, help='number of bag (default=2)')\nparser.add_argument('--seed', default=2, help='number of bag (default=2)')\nparser.add_argument('--bsize', default=100, help=\n 'number of bag size sample (default=100)')\nparser.add_argument('--local', default=False, action='store_true')\nparser.add_argument('--wandb', default=False, action='store_true')\nparser.add_argument('--trainable_bag', default=False, action='store_true')\nparser.add_argument('--b_max', default=2)\nparser.add_argument('--k', default=10)\nparser.add_argument('--model', default='feedforward')\nparser.add_argument('--quiet', default=False, action='store_true')\n<assignment token>\nif not args.local:\n saved_model_path = cloud_dir + saved_model_path\nif not os.path.exists(saved_model_path):\n os.makedirs(saved_model_path)\n<assignment token>\nnp.random.seed(random_seed)\ntorch.manual_seed(random_seed)\n<assignment token>\nnp.random.shuffle(indices)\nif args.wandb:\n wandb.init(project='concrete-mix-design', name=f'bootstrap', notes=f'{b}')\n<assignment token>\nnp.random.seed(random_seed[int(args.b)])\n<assignment token>\nif args.model == 'feedforward':\n model = feedforward()\nelif args.model == 'feedforward_50':\n model = feedforward_50()\nelse:\n model = cnn()\nmodel.to(device)\n<assignment token>\nmodel.load_state_dict(best_params)\nif args.wandb:\n train_loss = np.loadtxt('train.csv')\n validation_loss = np.loadtxt('validation.csv')\n for i, (t, v) in enumerate(zip(train_loss, validation_loss)):\n wandb.log({'Train Loss': t}, step=i + 1)\n wandb.log({'Validation Loss': v}, step=i + 1)\ntorch.save(model.state_dict(), f'{saved_model_path}/model-{b}.pth')\n",
"<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,731 |
3a4ed23272729614c36735048c8940e8d910217f
|
# coding=utf-8
# Copyright (C) 2020 NumS Development Team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import boto3
import numpy as np
from moto import mock_s3
from nums.core.array.application import ArrayApplication
from nums.core.array.blockarray import BlockArray
from nums.core.grid.grid import ArrayGrid
from nums.core.storage.storage import StoredArrayS3
# pylint: disable = import-outside-toplevel, import-error
@mock_s3
def test_rwd(app_inst_s3: ArrayApplication):
conn = boto3.resource("s3", region_name="us-east-1")
assert conn.Bucket("darrays") not in conn.buckets.all()
conn.create_bucket(Bucket="darrays")
array: np.ndarray = np.random.random(35).reshape(7, 5)
ba: BlockArray = app_inst_s3.array(array, block_shape=(3, 4))
filename = "darrays/read_write_delete_array_test"
write_result: BlockArray = app_inst_s3.write_s3(ba, filename)
write_result_arr = app_inst_s3.get(write_result)
for grid_entry in write_result.grid.get_entry_iterator():
assert "ETag" in write_result_arr[grid_entry]
ba_read: BlockArray = app_inst_s3.read_s3(filename)
assert app_inst_s3.get(app_inst_s3.allclose(ba, ba_read))
delete_result: BlockArray = app_inst_s3.delete_s3(filename)
delete_result_arr = app_inst_s3.get(delete_result)
for grid_entry in delete_result.grid.get_entry_iterator():
deleted_key = delete_result_arr[grid_entry]["Deleted"][0]["Key"]
assert deleted_key == StoredArrayS3(filename, delete_result.grid).get_key(
grid_entry
)
@mock_s3
def test_array_rwd():
conn = boto3.resource("s3", region_name="us-east-1")
assert conn.Bucket("darrays") not in conn.buckets.all()
conn.create_bucket(Bucket="darrays")
X: np.ndarray = np.random.random(3)
stored_X = StoredArrayS3("darrays/%s_X" % "__test__")
stored_X.put_grid(
ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=np.float64.__name__)
)
stored_X.init_grid()
stored_X.put_array(X)
assert np.allclose(X, stored_X.get_array())
stored_X.del_array()
stored_X.delete_grid()
def test_grid_copy():
grid = ArrayGrid(shape=(1, 2), block_shape=(1, 2), dtype=np.float64.__name__)
assert grid.copy() is not grid
if __name__ == "__main__":
# pylint: disable=import-error, no-member
from tests import conftest
app_inst = conftest.get_app("serial")
test_rwd(app_inst)
test_array_rwd()
test_grid_copy()
|
[
"# coding=utf-8\n# Copyright (C) 2020 NumS Development Team.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n\nimport boto3\nimport numpy as np\nfrom moto import mock_s3\n\nfrom nums.core.array.application import ArrayApplication\nfrom nums.core.array.blockarray import BlockArray\nfrom nums.core.grid.grid import ArrayGrid\nfrom nums.core.storage.storage import StoredArrayS3\n\n\n# pylint: disable = import-outside-toplevel, import-error\n\n\n@mock_s3\ndef test_rwd(app_inst_s3: ArrayApplication):\n\n conn = boto3.resource(\"s3\", region_name=\"us-east-1\")\n assert conn.Bucket(\"darrays\") not in conn.buckets.all()\n conn.create_bucket(Bucket=\"darrays\")\n\n array: np.ndarray = np.random.random(35).reshape(7, 5)\n ba: BlockArray = app_inst_s3.array(array, block_shape=(3, 4))\n filename = \"darrays/read_write_delete_array_test\"\n write_result: BlockArray = app_inst_s3.write_s3(ba, filename)\n write_result_arr = app_inst_s3.get(write_result)\n for grid_entry in write_result.grid.get_entry_iterator():\n assert \"ETag\" in write_result_arr[grid_entry]\n ba_read: BlockArray = app_inst_s3.read_s3(filename)\n assert app_inst_s3.get(app_inst_s3.allclose(ba, ba_read))\n delete_result: BlockArray = app_inst_s3.delete_s3(filename)\n delete_result_arr = app_inst_s3.get(delete_result)\n for grid_entry in delete_result.grid.get_entry_iterator():\n deleted_key = delete_result_arr[grid_entry][\"Deleted\"][0][\"Key\"]\n assert deleted_key == StoredArrayS3(filename, delete_result.grid).get_key(\n grid_entry\n )\n\n\n@mock_s3\ndef test_array_rwd():\n conn = boto3.resource(\"s3\", region_name=\"us-east-1\")\n assert conn.Bucket(\"darrays\") not in conn.buckets.all()\n conn.create_bucket(Bucket=\"darrays\")\n\n X: np.ndarray = np.random.random(3)\n stored_X = StoredArrayS3(\"darrays/%s_X\" % \"__test__\")\n stored_X.put_grid(\n ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=np.float64.__name__)\n )\n stored_X.init_grid()\n stored_X.put_array(X)\n assert np.allclose(X, stored_X.get_array())\n stored_X.del_array()\n stored_X.delete_grid()\n\n\ndef test_grid_copy():\n grid = ArrayGrid(shape=(1, 2), block_shape=(1, 2), dtype=np.float64.__name__)\n assert grid.copy() is not grid\n\n\nif __name__ == \"__main__\":\n # pylint: disable=import-error, no-member\n from tests import conftest\n\n app_inst = conftest.get_app(\"serial\")\n\n test_rwd(app_inst)\n test_array_rwd()\n test_grid_copy()\n",
"import boto3\nimport numpy as np\nfrom moto import mock_s3\nfrom nums.core.array.application import ArrayApplication\nfrom nums.core.array.blockarray import BlockArray\nfrom nums.core.grid.grid import ArrayGrid\nfrom nums.core.storage.storage import StoredArrayS3\n\n\n@mock_s3\ndef test_rwd(app_inst_s3: ArrayApplication):\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n array: np.ndarray = np.random.random(35).reshape(7, 5)\n ba: BlockArray = app_inst_s3.array(array, block_shape=(3, 4))\n filename = 'darrays/read_write_delete_array_test'\n write_result: BlockArray = app_inst_s3.write_s3(ba, filename)\n write_result_arr = app_inst_s3.get(write_result)\n for grid_entry in write_result.grid.get_entry_iterator():\n assert 'ETag' in write_result_arr[grid_entry]\n ba_read: BlockArray = app_inst_s3.read_s3(filename)\n assert app_inst_s3.get(app_inst_s3.allclose(ba, ba_read))\n delete_result: BlockArray = app_inst_s3.delete_s3(filename)\n delete_result_arr = app_inst_s3.get(delete_result)\n for grid_entry in delete_result.grid.get_entry_iterator():\n deleted_key = delete_result_arr[grid_entry]['Deleted'][0]['Key']\n assert deleted_key == StoredArrayS3(filename, delete_result.grid\n ).get_key(grid_entry)\n\n\n@mock_s3\ndef test_array_rwd():\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n X: np.ndarray = np.random.random(3)\n stored_X = StoredArrayS3('darrays/%s_X' % '__test__')\n stored_X.put_grid(ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=\n np.float64.__name__))\n stored_X.init_grid()\n stored_X.put_array(X)\n assert np.allclose(X, stored_X.get_array())\n stored_X.del_array()\n stored_X.delete_grid()\n\n\ndef test_grid_copy():\n grid = ArrayGrid(shape=(1, 2), block_shape=(1, 2), dtype=np.float64.\n __name__)\n assert grid.copy() is not grid\n\n\nif __name__ == '__main__':\n from tests import conftest\n app_inst = conftest.get_app('serial')\n test_rwd(app_inst)\n test_array_rwd()\n test_grid_copy()\n",
"<import token>\n\n\n@mock_s3\ndef test_rwd(app_inst_s3: ArrayApplication):\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n array: np.ndarray = np.random.random(35).reshape(7, 5)\n ba: BlockArray = app_inst_s3.array(array, block_shape=(3, 4))\n filename = 'darrays/read_write_delete_array_test'\n write_result: BlockArray = app_inst_s3.write_s3(ba, filename)\n write_result_arr = app_inst_s3.get(write_result)\n for grid_entry in write_result.grid.get_entry_iterator():\n assert 'ETag' in write_result_arr[grid_entry]\n ba_read: BlockArray = app_inst_s3.read_s3(filename)\n assert app_inst_s3.get(app_inst_s3.allclose(ba, ba_read))\n delete_result: BlockArray = app_inst_s3.delete_s3(filename)\n delete_result_arr = app_inst_s3.get(delete_result)\n for grid_entry in delete_result.grid.get_entry_iterator():\n deleted_key = delete_result_arr[grid_entry]['Deleted'][0]['Key']\n assert deleted_key == StoredArrayS3(filename, delete_result.grid\n ).get_key(grid_entry)\n\n\n@mock_s3\ndef test_array_rwd():\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n X: np.ndarray = np.random.random(3)\n stored_X = StoredArrayS3('darrays/%s_X' % '__test__')\n stored_X.put_grid(ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=\n np.float64.__name__))\n stored_X.init_grid()\n stored_X.put_array(X)\n assert np.allclose(X, stored_X.get_array())\n stored_X.del_array()\n stored_X.delete_grid()\n\n\ndef test_grid_copy():\n grid = ArrayGrid(shape=(1, 2), block_shape=(1, 2), dtype=np.float64.\n __name__)\n assert grid.copy() is not grid\n\n\nif __name__ == '__main__':\n from tests import conftest\n app_inst = conftest.get_app('serial')\n test_rwd(app_inst)\n test_array_rwd()\n test_grid_copy()\n",
"<import token>\n\n\n@mock_s3\ndef test_rwd(app_inst_s3: ArrayApplication):\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n array: np.ndarray = np.random.random(35).reshape(7, 5)\n ba: BlockArray = app_inst_s3.array(array, block_shape=(3, 4))\n filename = 'darrays/read_write_delete_array_test'\n write_result: BlockArray = app_inst_s3.write_s3(ba, filename)\n write_result_arr = app_inst_s3.get(write_result)\n for grid_entry in write_result.grid.get_entry_iterator():\n assert 'ETag' in write_result_arr[grid_entry]\n ba_read: BlockArray = app_inst_s3.read_s3(filename)\n assert app_inst_s3.get(app_inst_s3.allclose(ba, ba_read))\n delete_result: BlockArray = app_inst_s3.delete_s3(filename)\n delete_result_arr = app_inst_s3.get(delete_result)\n for grid_entry in delete_result.grid.get_entry_iterator():\n deleted_key = delete_result_arr[grid_entry]['Deleted'][0]['Key']\n assert deleted_key == StoredArrayS3(filename, delete_result.grid\n ).get_key(grid_entry)\n\n\n@mock_s3\ndef test_array_rwd():\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n X: np.ndarray = np.random.random(3)\n stored_X = StoredArrayS3('darrays/%s_X' % '__test__')\n stored_X.put_grid(ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=\n np.float64.__name__))\n stored_X.init_grid()\n stored_X.put_array(X)\n assert np.allclose(X, stored_X.get_array())\n stored_X.del_array()\n stored_X.delete_grid()\n\n\ndef test_grid_copy():\n grid = ArrayGrid(shape=(1, 2), block_shape=(1, 2), dtype=np.float64.\n __name__)\n assert grid.copy() is not grid\n\n\n<code token>\n",
"<import token>\n\n\n@mock_s3\ndef test_rwd(app_inst_s3: ArrayApplication):\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n array: np.ndarray = np.random.random(35).reshape(7, 5)\n ba: BlockArray = app_inst_s3.array(array, block_shape=(3, 4))\n filename = 'darrays/read_write_delete_array_test'\n write_result: BlockArray = app_inst_s3.write_s3(ba, filename)\n write_result_arr = app_inst_s3.get(write_result)\n for grid_entry in write_result.grid.get_entry_iterator():\n assert 'ETag' in write_result_arr[grid_entry]\n ba_read: BlockArray = app_inst_s3.read_s3(filename)\n assert app_inst_s3.get(app_inst_s3.allclose(ba, ba_read))\n delete_result: BlockArray = app_inst_s3.delete_s3(filename)\n delete_result_arr = app_inst_s3.get(delete_result)\n for grid_entry in delete_result.grid.get_entry_iterator():\n deleted_key = delete_result_arr[grid_entry]['Deleted'][0]['Key']\n assert deleted_key == StoredArrayS3(filename, delete_result.grid\n ).get_key(grid_entry)\n\n\n@mock_s3\ndef test_array_rwd():\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n X: np.ndarray = np.random.random(3)\n stored_X = StoredArrayS3('darrays/%s_X' % '__test__')\n stored_X.put_grid(ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=\n np.float64.__name__))\n stored_X.init_grid()\n stored_X.put_array(X)\n assert np.allclose(X, stored_X.get_array())\n stored_X.del_array()\n stored_X.delete_grid()\n\n\n<function token>\n<code token>\n",
"<import token>\n<function token>\n\n\n@mock_s3\ndef test_array_rwd():\n conn = boto3.resource('s3', region_name='us-east-1')\n assert conn.Bucket('darrays') not in conn.buckets.all()\n conn.create_bucket(Bucket='darrays')\n X: np.ndarray = np.random.random(3)\n stored_X = StoredArrayS3('darrays/%s_X' % '__test__')\n stored_X.put_grid(ArrayGrid(shape=X.shape, block_shape=X.shape, dtype=\n np.float64.__name__))\n stored_X.init_grid()\n stored_X.put_array(X)\n assert np.allclose(X, stored_X.get_array())\n stored_X.del_array()\n stored_X.delete_grid()\n\n\n<function token>\n<code token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,732 |
82e62f7b6cd67bfbce0131d0f8f423440dcba941
|
"""
Comparison of original xtcav calibration constants
with the same constants saved and retrieved in CDB.
"""
import sys
#from psana.pscalib.calib.XtcavConstants import Load, dict_from_xtcav_calib_object, compare_dicts
from psana.pscalib.calib.XtcavUtils import Load, dict_from_xtcav_calib_object
import psana.pscalib.calib.MDBUtils as dbu
from psana.pscalib.calib.CalibUtils import parse_calib_file_name #history_dict_for_file, history_list_of_dicts
from psana.pscalib.calib.MDBConvertLCLS1 import detname_conversion
from psana.pscalib.calib.MDBConvertUtils import compare_dicts
from psana.pscalib.calib.CalibConstants import HOST, PORT
#------------------------------
def usage(fname) :
msg = 'Usage: python lcls2/psana/psana/pscalib/examples/ex07-cdb-xtcav.py [<full-path-to-calib-file>]'\
'\n by default calib file is %s' % fname
print(msg)
#------------------------------
def test_xtcav_calib_constants(fname=
'/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data',\
add_constants_to_db=False) :
_, exp, _, cvers, detname, ctype, cfname = fname.rsplit('/',6)
resp = parse_calib_file_name(cfname)
begin, end, ext = resp if resp is not None else (None, None, None)
det = detname_conversion(detname)
run = begin
dbname_exp = dbu.db_prefixed_name(exp)
dbname_det = dbu.db_prefixed_name(det)
print('LCLS1 Xtcav calibration file: %s' % fname)
print('Parameters form path: exp:%s det:%s ctype:%s run:%s dbname_exp:%s dbname_det:%s'%\
(exp, det, ctype, run, dbname_exp, dbname_det))
#Save(ct,fname)
o1 = Load(fname)
d1 = dict_from_xtcav_calib_object(o1)
print('Xtcav calibration constants as dict:\n', d1)
if not add_constants_to_db : return
#==================================
#---- Delete databases for experiment and detector
client = dbu.connect_to_server(HOST, PORT)
print('Open client on host:%s port:%s' % (HOST, PORT))
print('Delete database %s'% dbname_exp)
dbu.delete_database(client, dbname_exp)
print('Delete database %s'% dbname_det)
dbu.delete_database(client, dbname_det)
#---- Add data to experiment and detector dbs
print('Add Xtcav constants')
kwargs = {'host' : HOST,\
'port' : PORT,\
'version' : 'V01',\
'comment' : 'test of add-retrieve xtcav constants'
}
#insert_calib_data(data, *kwargs)
dbu.insert_constants(o1, exp, det, ctype, run, time_sec='1000000000', **kwargs)
#msg = dbu.database_info(client, dbname_exp, level=10)
#print(msg)
print('Xtcav constants inserted, now retrieve them from db:%s collection:%s' % (dbname_exp, det))
db, fs = dbu.db_and_fs(client, dbname_exp)
col = dbu.collection(db, det)
#for doc in col.find() :
# print(doc)
doc = dbu.find_doc(col, query={'ctype':ctype, 'run':run})
print('Found doc:\n', doc)
o2 = dbu.get_data_for_doc(fs, doc)
d2 = dict_from_xtcav_calib_object(o2)
print('Xtcav calib object converted to dict:\n', d2)
#print('cmp(d1,d2) :', str(d1==d2))
print('\nCompare dictionaries for Xtcav calib objects loaded directly from calib file and passed through the CDB')
compare_dicts(d1,d2)
client.close()
return
#------------------------------
if __name__ == "__main__":
path='/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'
#path='/reg/d/psdm/XCS/xcsm9816/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/lasingoffreference/31-end.data'
#path='/reg/d/psdm/XCS/xcsm9816/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/30-end.data'
fname = sys.argv[1] if len(sys.argv) > 1 else path
add_consts_to_cdb = True if len(sys.argv) > 2 else False
test_xtcav_calib_constants(fname, add_consts_to_cdb)
usage(path)
#------------------------------
|
[
"\"\"\"\nComparison of original xtcav calibration constants \nwith the same constants saved and retrieved in CDB.\n\"\"\"\nimport sys\n#from psana.pscalib.calib.XtcavConstants import Load, dict_from_xtcav_calib_object, compare_dicts\nfrom psana.pscalib.calib.XtcavUtils import Load, dict_from_xtcav_calib_object\nimport psana.pscalib.calib.MDBUtils as dbu\nfrom psana.pscalib.calib.CalibUtils import parse_calib_file_name #history_dict_for_file, history_list_of_dicts\nfrom psana.pscalib.calib.MDBConvertLCLS1 import detname_conversion\nfrom psana.pscalib.calib.MDBConvertUtils import compare_dicts\nfrom psana.pscalib.calib.CalibConstants import HOST, PORT\n\n#------------------------------\n\ndef usage(fname) :\n msg = 'Usage: python lcls2/psana/psana/pscalib/examples/ex07-cdb-xtcav.py [<full-path-to-calib-file>]'\\\n '\\n by default calib file is %s' % fname\n print(msg)\n\n#------------------------------\n\ndef test_xtcav_calib_constants(fname=\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data',\\\n add_constants_to_db=False) :\n\n _, exp, _, cvers, detname, ctype, cfname = fname.rsplit('/',6) \n resp = parse_calib_file_name(cfname)\n begin, end, ext = resp if resp is not None else (None, None, None)\n det = detname_conversion(detname)\n run = begin\n dbname_exp = dbu.db_prefixed_name(exp)\n dbname_det = dbu.db_prefixed_name(det)\n\n print('LCLS1 Xtcav calibration file: %s' % fname)\n print('Parameters form path: exp:%s det:%s ctype:%s run:%s dbname_exp:%s dbname_det:%s'%\\\n (exp, det, ctype, run, dbname_exp, dbname_det))\n\n #Save(ct,fname)\n o1 = Load(fname)\n d1 = dict_from_xtcav_calib_object(o1)\n print('Xtcav calibration constants as dict:\\n', d1)\n\n if not add_constants_to_db : return\n #==================================\n\n #---- Delete databases for experiment and detector\n\n client = dbu.connect_to_server(HOST, PORT)\n print('Open client on host:%s port:%s' % (HOST, PORT))\n\n print('Delete database %s'% dbname_exp)\n dbu.delete_database(client, dbname_exp)\n\n print('Delete database %s'% dbname_det)\n dbu.delete_database(client, dbname_det)\n\n #---- Add data to experiment and detector dbs\n print('Add Xtcav constants') \n\n kwargs = {'host' : HOST,\\\n 'port' : PORT,\\\n 'version' : 'V01',\\\n 'comment' : 'test of add-retrieve xtcav constants'\n }\n #insert_calib_data(data, *kwargs)\n dbu.insert_constants(o1, exp, det, ctype, run, time_sec='1000000000', **kwargs)\n\n #msg = dbu.database_info(client, dbname_exp, level=10)\n #print(msg)\n\n print('Xtcav constants inserted, now retrieve them from db:%s collection:%s' % (dbname_exp, det))\n\n db, fs = dbu.db_and_fs(client, dbname_exp)\n col = dbu.collection(db, det)\n\n #for doc in col.find() :\n # print(doc)\n\n doc = dbu.find_doc(col, query={'ctype':ctype, 'run':run})\n print('Found doc:\\n', doc)\n\n o2 = dbu.get_data_for_doc(fs, doc)\n d2 = dict_from_xtcav_calib_object(o2)\n print('Xtcav calib object converted to dict:\\n', d2)\n\n #print('cmp(d1,d2) :', str(d1==d2))\n\n print('\\nCompare dictionaries for Xtcav calib objects loaded directly from calib file and passed through the CDB')\n compare_dicts(d1,d2)\n\n client.close()\n return\n\n\n#------------------------------\n\nif __name__ == \"__main__\":\n path='/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n #path='/reg/d/psdm/XCS/xcsm9816/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/lasingoffreference/31-end.data'\n #path='/reg/d/psdm/XCS/xcsm9816/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/30-end.data'\n\n fname = sys.argv[1] if len(sys.argv) > 1 else path\n add_consts_to_cdb = True if len(sys.argv) > 2 else False\n\n test_xtcav_calib_constants(fname, add_consts_to_cdb)\n usage(path)\n\n#------------------------------\n",
"<docstring token>\nimport sys\nfrom psana.pscalib.calib.XtcavUtils import Load, dict_from_xtcav_calib_object\nimport psana.pscalib.calib.MDBUtils as dbu\nfrom psana.pscalib.calib.CalibUtils import parse_calib_file_name\nfrom psana.pscalib.calib.MDBConvertLCLS1 import detname_conversion\nfrom psana.pscalib.calib.MDBConvertUtils import compare_dicts\nfrom psana.pscalib.calib.CalibConstants import HOST, PORT\n\n\ndef usage(fname):\n msg = (\n \"\"\"Usage: python lcls2/psana/psana/pscalib/examples/ex07-cdb-xtcav.py [<full-path-to-calib-file>]\n by default calib file is %s\"\"\"\n % fname)\n print(msg)\n\n\ndef test_xtcav_calib_constants(fname=\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n , add_constants_to_db=False):\n _, exp, _, cvers, detname, ctype, cfname = fname.rsplit('/', 6)\n resp = parse_calib_file_name(cfname)\n begin, end, ext = resp if resp is not None else (None, None, None)\n det = detname_conversion(detname)\n run = begin\n dbname_exp = dbu.db_prefixed_name(exp)\n dbname_det = dbu.db_prefixed_name(det)\n print('LCLS1 Xtcav calibration file: %s' % fname)\n print(\n 'Parameters form path: exp:%s det:%s ctype:%s run:%s dbname_exp:%s dbname_det:%s'\n % (exp, det, ctype, run, dbname_exp, dbname_det))\n o1 = Load(fname)\n d1 = dict_from_xtcav_calib_object(o1)\n print('Xtcav calibration constants as dict:\\n', d1)\n if not add_constants_to_db:\n return\n client = dbu.connect_to_server(HOST, PORT)\n print('Open client on host:%s port:%s' % (HOST, PORT))\n print('Delete database %s' % dbname_exp)\n dbu.delete_database(client, dbname_exp)\n print('Delete database %s' % dbname_det)\n dbu.delete_database(client, dbname_det)\n print('Add Xtcav constants')\n kwargs = {'host': HOST, 'port': PORT, 'version': 'V01', 'comment':\n 'test of add-retrieve xtcav constants'}\n dbu.insert_constants(o1, exp, det, ctype, run, time_sec='1000000000',\n **kwargs)\n print(\n 'Xtcav constants inserted, now retrieve them from db:%s collection:%s'\n % (dbname_exp, det))\n db, fs = dbu.db_and_fs(client, dbname_exp)\n col = dbu.collection(db, det)\n doc = dbu.find_doc(col, query={'ctype': ctype, 'run': run})\n print('Found doc:\\n', doc)\n o2 = dbu.get_data_for_doc(fs, doc)\n d2 = dict_from_xtcav_calib_object(o2)\n print('Xtcav calib object converted to dict:\\n', d2)\n print(\n \"\"\"\nCompare dictionaries for Xtcav calib objects loaded directly from calib file and passed through the CDB\"\"\"\n )\n compare_dicts(d1, d2)\n client.close()\n return\n\n\nif __name__ == '__main__':\n path = (\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n )\n fname = sys.argv[1] if len(sys.argv) > 1 else path\n add_consts_to_cdb = True if len(sys.argv) > 2 else False\n test_xtcav_calib_constants(fname, add_consts_to_cdb)\n usage(path)\n",
"<docstring token>\n<import token>\n\n\ndef usage(fname):\n msg = (\n \"\"\"Usage: python lcls2/psana/psana/pscalib/examples/ex07-cdb-xtcav.py [<full-path-to-calib-file>]\n by default calib file is %s\"\"\"\n % fname)\n print(msg)\n\n\ndef test_xtcav_calib_constants(fname=\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n , add_constants_to_db=False):\n _, exp, _, cvers, detname, ctype, cfname = fname.rsplit('/', 6)\n resp = parse_calib_file_name(cfname)\n begin, end, ext = resp if resp is not None else (None, None, None)\n det = detname_conversion(detname)\n run = begin\n dbname_exp = dbu.db_prefixed_name(exp)\n dbname_det = dbu.db_prefixed_name(det)\n print('LCLS1 Xtcav calibration file: %s' % fname)\n print(\n 'Parameters form path: exp:%s det:%s ctype:%s run:%s dbname_exp:%s dbname_det:%s'\n % (exp, det, ctype, run, dbname_exp, dbname_det))\n o1 = Load(fname)\n d1 = dict_from_xtcav_calib_object(o1)\n print('Xtcav calibration constants as dict:\\n', d1)\n if not add_constants_to_db:\n return\n client = dbu.connect_to_server(HOST, PORT)\n print('Open client on host:%s port:%s' % (HOST, PORT))\n print('Delete database %s' % dbname_exp)\n dbu.delete_database(client, dbname_exp)\n print('Delete database %s' % dbname_det)\n dbu.delete_database(client, dbname_det)\n print('Add Xtcav constants')\n kwargs = {'host': HOST, 'port': PORT, 'version': 'V01', 'comment':\n 'test of add-retrieve xtcav constants'}\n dbu.insert_constants(o1, exp, det, ctype, run, time_sec='1000000000',\n **kwargs)\n print(\n 'Xtcav constants inserted, now retrieve them from db:%s collection:%s'\n % (dbname_exp, det))\n db, fs = dbu.db_and_fs(client, dbname_exp)\n col = dbu.collection(db, det)\n doc = dbu.find_doc(col, query={'ctype': ctype, 'run': run})\n print('Found doc:\\n', doc)\n o2 = dbu.get_data_for_doc(fs, doc)\n d2 = dict_from_xtcav_calib_object(o2)\n print('Xtcav calib object converted to dict:\\n', d2)\n print(\n \"\"\"\nCompare dictionaries for Xtcav calib objects loaded directly from calib file and passed through the CDB\"\"\"\n )\n compare_dicts(d1, d2)\n client.close()\n return\n\n\nif __name__ == '__main__':\n path = (\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n )\n fname = sys.argv[1] if len(sys.argv) > 1 else path\n add_consts_to_cdb = True if len(sys.argv) > 2 else False\n test_xtcav_calib_constants(fname, add_consts_to_cdb)\n usage(path)\n",
"<docstring token>\n<import token>\n\n\ndef usage(fname):\n msg = (\n \"\"\"Usage: python lcls2/psana/psana/pscalib/examples/ex07-cdb-xtcav.py [<full-path-to-calib-file>]\n by default calib file is %s\"\"\"\n % fname)\n print(msg)\n\n\ndef test_xtcav_calib_constants(fname=\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n , add_constants_to_db=False):\n _, exp, _, cvers, detname, ctype, cfname = fname.rsplit('/', 6)\n resp = parse_calib_file_name(cfname)\n begin, end, ext = resp if resp is not None else (None, None, None)\n det = detname_conversion(detname)\n run = begin\n dbname_exp = dbu.db_prefixed_name(exp)\n dbname_det = dbu.db_prefixed_name(det)\n print('LCLS1 Xtcav calibration file: %s' % fname)\n print(\n 'Parameters form path: exp:%s det:%s ctype:%s run:%s dbname_exp:%s dbname_det:%s'\n % (exp, det, ctype, run, dbname_exp, dbname_det))\n o1 = Load(fname)\n d1 = dict_from_xtcav_calib_object(o1)\n print('Xtcav calibration constants as dict:\\n', d1)\n if not add_constants_to_db:\n return\n client = dbu.connect_to_server(HOST, PORT)\n print('Open client on host:%s port:%s' % (HOST, PORT))\n print('Delete database %s' % dbname_exp)\n dbu.delete_database(client, dbname_exp)\n print('Delete database %s' % dbname_det)\n dbu.delete_database(client, dbname_det)\n print('Add Xtcav constants')\n kwargs = {'host': HOST, 'port': PORT, 'version': 'V01', 'comment':\n 'test of add-retrieve xtcav constants'}\n dbu.insert_constants(o1, exp, det, ctype, run, time_sec='1000000000',\n **kwargs)\n print(\n 'Xtcav constants inserted, now retrieve them from db:%s collection:%s'\n % (dbname_exp, det))\n db, fs = dbu.db_and_fs(client, dbname_exp)\n col = dbu.collection(db, det)\n doc = dbu.find_doc(col, query={'ctype': ctype, 'run': run})\n print('Found doc:\\n', doc)\n o2 = dbu.get_data_for_doc(fs, doc)\n d2 = dict_from_xtcav_calib_object(o2)\n print('Xtcav calib object converted to dict:\\n', d2)\n print(\n \"\"\"\nCompare dictionaries for Xtcav calib objects loaded directly from calib file and passed through the CDB\"\"\"\n )\n compare_dicts(d1, d2)\n client.close()\n return\n\n\n<code token>\n",
"<docstring token>\n<import token>\n<function token>\n\n\ndef test_xtcav_calib_constants(fname=\n '/reg/d/psdm/XPP/xpptut15/calib/Xtcav::CalibV1/XrayTransportDiagnostic.0:Opal1000.0/pedestals/101-102.data'\n , add_constants_to_db=False):\n _, exp, _, cvers, detname, ctype, cfname = fname.rsplit('/', 6)\n resp = parse_calib_file_name(cfname)\n begin, end, ext = resp if resp is not None else (None, None, None)\n det = detname_conversion(detname)\n run = begin\n dbname_exp = dbu.db_prefixed_name(exp)\n dbname_det = dbu.db_prefixed_name(det)\n print('LCLS1 Xtcav calibration file: %s' % fname)\n print(\n 'Parameters form path: exp:%s det:%s ctype:%s run:%s dbname_exp:%s dbname_det:%s'\n % (exp, det, ctype, run, dbname_exp, dbname_det))\n o1 = Load(fname)\n d1 = dict_from_xtcav_calib_object(o1)\n print('Xtcav calibration constants as dict:\\n', d1)\n if not add_constants_to_db:\n return\n client = dbu.connect_to_server(HOST, PORT)\n print('Open client on host:%s port:%s' % (HOST, PORT))\n print('Delete database %s' % dbname_exp)\n dbu.delete_database(client, dbname_exp)\n print('Delete database %s' % dbname_det)\n dbu.delete_database(client, dbname_det)\n print('Add Xtcav constants')\n kwargs = {'host': HOST, 'port': PORT, 'version': 'V01', 'comment':\n 'test of add-retrieve xtcav constants'}\n dbu.insert_constants(o1, exp, det, ctype, run, time_sec='1000000000',\n **kwargs)\n print(\n 'Xtcav constants inserted, now retrieve them from db:%s collection:%s'\n % (dbname_exp, det))\n db, fs = dbu.db_and_fs(client, dbname_exp)\n col = dbu.collection(db, det)\n doc = dbu.find_doc(col, query={'ctype': ctype, 'run': run})\n print('Found doc:\\n', doc)\n o2 = dbu.get_data_for_doc(fs, doc)\n d2 = dict_from_xtcav_calib_object(o2)\n print('Xtcav calib object converted to dict:\\n', d2)\n print(\n \"\"\"\nCompare dictionaries for Xtcav calib objects loaded directly from calib file and passed through the CDB\"\"\"\n )\n compare_dicts(d1, d2)\n client.close()\n return\n\n\n<code token>\n",
"<docstring token>\n<import token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,733 |
8968c129194262355366a6ca563b0713c140cb42
|
###
### Copyright (C) 2018-2019 Intel Corporation
###
### SPDX-License-Identifier: BSD-3-Clause
###
from ....lib import *
from .util import *
import os
@slash.requires(have_gst)
@slash.requires(*have_gst_element("msdk"))
@slash.requires(*have_gst_element("checksumsink2"))
@slash.requires(using_compatible_driver)
class TranscoderTest(slash.Test):
requirements = dict(
decode = {
"avc" : dict(
sw = (dict(maxres = (16384, 16384)), have_gst_element("avdec_h264"), "h264parse ! avdec_h264"),
hw = (platform.get_caps("decode", "avc"), have_gst_element("msdkh264dec"), "h264parse ! msdkh264dec"),
),
"hevc-8" : dict(
sw = (dict(maxres = (16384, 16384)), have_gst_element("avdec_h265"), "h265parse ! avdec_h265"),
hw = (platform.get_caps("decode", "hevc_8"), have_gst_element("msdkh265dec"), "h265parse ! msdkh265dec"),
),
"mpeg2" : dict(
sw = (dict(maxres = (2048, 2048)), have_gst_element("avdec_mpeg2video"), "mpegvideoparse ! avdec_mpeg2video"),
hw = (platform.get_caps("decode", "mpeg2"), have_gst_element("msdkmpeg2dec"), "mpegvideoparse ! msdkmpeg2dec"),
),
"mjpeg" : dict(
sw = (dict(maxres = (16384, 16384)), have_gst_element("jpegdec"), "jpegparse ! jpegdec"),
hw = (platform.get_caps("decode", "jpeg"), have_gst_element("msdkmjpegdec"), "jpegparse ! msdkmjpegdec"),
),
"vc1" : dict(
sw = (
dict(maxres = (16384, 16384)), have_gst_element("avdec_vc1"),
"'video/x-wmv,profile=(string)advanced'"
",width={width},height={height},framerate=14/1 ! avdec_vc1"
),
hw = (
platform.get_caps("decode", "vc1"), have_gst_element("msdkvc1dec"),
"'video/x-wmv,profile=(string)advanced'"
",width={width},height={height},framerate=14/1 ! msdkvc1dec"
),
),
},
encode = {
"avc" : dict(
sw = (dict(maxres = (16384, 16384)), have_gst_element("x264enc"), "x264enc ! video/x-h264,profile=main ! h264parse"),
hw = (platform.get_caps("encode", "avc"), have_gst_element("msdkh264enc"), "msdkh264enc ! video/x-h264,profile=main ! h264parse"),
),
"hevc-8" : dict(
sw = (dict(maxres = (16384, 16384)), have_gst_element("x265enc"), "videoconvert chroma-mode=none dither=0 ! video/x-raw,format=I420 ! x265enc ! video/x-h265,profile=main ! h265parse"),
hw = (platform.get_caps("encode", "hevc_8"), have_gst_element("msdkh265enc"), "msdkh265enc ! video/x-h265,profile=main ! h265parse"),
),
"mpeg2" : dict(
sw = (dict(maxres = (2048, 2048)), have_gst_element("avenc_mpeg2video"), "avenc_mpeg2video ! mpegvideoparse"),
hw = (platform.get_caps("encode", "mpeg2"), have_gst_element("msdkmpeg2enc"), "msdkmpeg2enc ! mpegvideoparse"),
),
"mjpeg" : dict(
sw = (dict(maxres = (16384, 16384)), have_gst_element("jpegenc"), "jpegenc ! jpegparse"),
hw = (platform.get_caps("vdenc", "jpeg"), have_gst_element("msdkmjpegenc"), "msdkmjpegenc ! jpegparse"),
),
},
vpp = {
"scale" : dict(
sw = (True, have_gst_element("videoscale"), "videoscale ! video/x-raw,width={width},height={height}"),
hw = (platform.get_caps("vpp", "scale"), have_gst_element("msdkvpp"), "msdkvpp hardware=true scaling-mode=1 ! video/x-raw,format={format},width={width},height={height}"),
),
},
)
# hevc implies hevc 8 bit
requirements["encode"]["hevc"] = requirements["encode"]["hevc-8"]
requirements["decode"]["hevc"] = requirements["decode"]["hevc-8"]
def before(self):
self.refctx = []
def get_requirements_data(self, ttype, codec, mode):
return self.requirements[ttype].get(
codec, {}).get(
mode, (None, (False, "{}:{}:{}".format(ttype, codec, mode)), None))
def get_decoder(self, codec, mode):
_, _, decoder = self.get_requirements_data("decode", codec, mode)
assert decoder is not None, "failed to find a suitable decoder: {}:{}".format(codec, mode)
return decoder.format(**vars(self))
def get_encoder(self, codec, mode):
_, _, encoder = self.get_requirements_data("encode", codec, mode)
assert encoder is not None, "failed to find a suitable encoder: {}:{}".format(codec, mode)
return encoder.format(**vars(self))
def get_vpp_scale(self, width, height, mode):
if width is None and height is None:
return None
_, _, scale = self.get_requirements_data("vpp", "scale", mode)
assert scale is not None, "failed to find a suitable vpp scaler: {}".format(mode)
return scale.format(width = width or self.width, height = height or self.height, format = self.format)
def get_file_ext(self, codec):
return {
"avc" : "h264",
"hevc" : "h265",
"hevc-8" : "h265",
"mpeg2" : "m2v",
"mjpeg" : "mjpeg",
}.get(codec, "???")
def validate_caps(self):
assert len(self.outputs), "Invalid test case specification, outputs data empty"
assert self.mode in ["sw", "hw"], "Invalid test case specification as mode type not valid"
icaps, ireq, _ = self.get_requirements_data("decode", self.codec, self.mode)
requires = [ireq,]
if icaps is None:
slash.skip_test(
"decode.{codec}.{mode} unsupported".format(**vars(self)))
maxw, maxh = icaps["maxres"]
if self.width > maxw or self.height > maxh:
slash.skip_test(
"decode.{codec}.{mode}.{width}x{height} unsupported".format(**vars(self)))
for output in self.outputs:
codec = output["codec"]
mode = output["mode"]
assert mode in ["sw", "hw"], "Invalid test case specification as output mode type not valid"
ocaps, oreq, _ = self.get_requirements_data("encode", codec, mode)
requires.append(oreq)
if ocaps is None:
slash.skip_test(
"encode.{codec}.{mode} unsupported".format(codec = codec, mode = mode))
maxw, maxh = ocaps["maxres"]
w = output.get("width", None)
h = output.get("height", None)
if (w or self.width) > maxw or (h or self.height) > maxh:
slash.skip_test(
"encode.{codec}.{mode}.{width}x{height} unsupported".format(
codec = codec, mode = mode,
width = (w or self.width),
height = (h or self.height)))
if w is not None or h is not None:
ocaps, oreq, _ = self.get_requirements_data("vpp", "scale", mode)
requires.append(oreq)
if ocaps is None:
slash.skip_test(
"vpp.scale.{mode} unsupported".format(mode = mode))
unmet = set([m for t,m in requires if not t])
if len(unmet) != 0:
slash.skip_test(
"Missing one or more required gstreamer elements: {}".format(list(unmet)))
self.format = vars(self).get("format", "NV12")
def gen_input_opts(self):
opts = "filesrc location={source}"
opts += " ! " + self.get_decoder(self.codec, self.mode)
opts += " ! video/x-raw,format={format}"
return opts.format(**vars(self))
def gen_output_opts(self):
self.goutputs = dict()
opts = "tee name=transcoder"
for n, output in enumerate(self.outputs):
codec = output["codec"]
mode = output["mode"]
encoder = self.get_encoder(codec, mode)
ext = self.get_file_ext(codec)
vppscale = self.get_vpp_scale(
output.get("width", None), output.get("height", None), mode)
for channel in range(output.get("channels", 1)):
ofile = get_media()._test_artifact(
"{}_{}_{}.{}".format(self.case, n, channel, ext))
self.goutputs.setdefault(n, list()).append(ofile)
opts += " ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0"
if vppscale is not None:
opts += " ! {}".format(vppscale)
opts += " ! {}".format(encoder)
opts += " ! filesink location={} transcoder.".format(ofile)
# dump decoded source to yuv for reference comparison
self.srcyuv = get_media()._test_artifact(
"src_{case}.yuv".format(**vars(self)))
opts += " ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0"
opts += " ! checksumsink2 file-checksum=false qos=false"
opts += " frame-checksum=false plane-checksum=false dump-output=true"
opts += " dump-location={srcyuv}"
return opts.format(**vars(self))
@timefn("gst")
def call_gst(self, iopts, oopts):
call("gst-launch-1.0 -vf {iopts} ! {oopts}".format(
iopts = iopts, oopts = oopts))
def transcode(self):
self.validate_caps()
iopts = self.gen_input_opts()
oopts = self.gen_output_opts()
get_media().test_call_timeout = vars(self).get("call_timeout", 0)
self.call_gst(iopts, oopts)
for n, output in enumerate(self.outputs):
get_media()._set_test_details(**{"output.{}".format(n) : output})
for channel in range(output.get("channels", 1)):
encoded = self.goutputs[n][channel]
yuv = get_media()._test_artifact(
"{}_{}_{}.yuv".format(self.case, n, channel))
iopts = "filesrc location={} ! {}"
oopts = self.get_vpp_scale(self.width, self.height, "hw")
oopts += " ! checksumsink2 file-checksum=false qos=false"
oopts += " frame-checksum=false plane-checksum=false dump-output=true"
oopts += " dump-location={}"
self.call_gst(
iopts.format(encoded, self.get_decoder(output["codec"], "hw")),
oopts.format(yuv))
self.check_metrics(yuv, refctx = [(n, channel)])
get_media()._purge_test_artifact(yuv)
def check_metrics(self, yuv, refctx):
get_media().baseline.check_psnr(
psnr = calculate_psnr(
self.srcyuv, yuv,
self.width, self.height,
self.frames, self.format),
context = self.refctx + refctx,
)
|
[
"###\n### Copyright (C) 2018-2019 Intel Corporation\n###\n### SPDX-License-Identifier: BSD-3-Clause\n###\n\nfrom ....lib import *\nfrom .util import *\nimport os\n\[email protected](have_gst)\[email protected](*have_gst_element(\"msdk\"))\[email protected](*have_gst_element(\"checksumsink2\"))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n requirements = dict(\n decode = {\n \"avc\" : dict(\n sw = (dict(maxres = (16384, 16384)), have_gst_element(\"avdec_h264\"), \"h264parse ! avdec_h264\"),\n hw = (platform.get_caps(\"decode\", \"avc\"), have_gst_element(\"msdkh264dec\"), \"h264parse ! msdkh264dec\"),\n ),\n \"hevc-8\" : dict(\n sw = (dict(maxres = (16384, 16384)), have_gst_element(\"avdec_h265\"), \"h265parse ! avdec_h265\"),\n hw = (platform.get_caps(\"decode\", \"hevc_8\"), have_gst_element(\"msdkh265dec\"), \"h265parse ! msdkh265dec\"),\n ),\n \"mpeg2\" : dict(\n sw = (dict(maxres = (2048, 2048)), have_gst_element(\"avdec_mpeg2video\"), \"mpegvideoparse ! avdec_mpeg2video\"),\n hw = (platform.get_caps(\"decode\", \"mpeg2\"), have_gst_element(\"msdkmpeg2dec\"), \"mpegvideoparse ! msdkmpeg2dec\"),\n ),\n \"mjpeg\" : dict(\n sw = (dict(maxres = (16384, 16384)), have_gst_element(\"jpegdec\"), \"jpegparse ! jpegdec\"),\n hw = (platform.get_caps(\"decode\", \"jpeg\"), have_gst_element(\"msdkmjpegdec\"), \"jpegparse ! msdkmjpegdec\"),\n ),\n \"vc1\" : dict(\n sw = (\n dict(maxres = (16384, 16384)), have_gst_element(\"avdec_vc1\"),\n \"'video/x-wmv,profile=(string)advanced'\"\n \",width={width},height={height},framerate=14/1 ! avdec_vc1\"\n ),\n hw = (\n platform.get_caps(\"decode\", \"vc1\"), have_gst_element(\"msdkvc1dec\"),\n \"'video/x-wmv,profile=(string)advanced'\"\n \",width={width},height={height},framerate=14/1 ! msdkvc1dec\"\n ),\n ),\n },\n encode = {\n \"avc\" : dict(\n sw = (dict(maxres = (16384, 16384)), have_gst_element(\"x264enc\"), \"x264enc ! video/x-h264,profile=main ! h264parse\"),\n hw = (platform.get_caps(\"encode\", \"avc\"), have_gst_element(\"msdkh264enc\"), \"msdkh264enc ! video/x-h264,profile=main ! h264parse\"),\n ),\n \"hevc-8\" : dict(\n sw = (dict(maxres = (16384, 16384)), have_gst_element(\"x265enc\"), \"videoconvert chroma-mode=none dither=0 ! video/x-raw,format=I420 ! x265enc ! video/x-h265,profile=main ! h265parse\"),\n hw = (platform.get_caps(\"encode\", \"hevc_8\"), have_gst_element(\"msdkh265enc\"), \"msdkh265enc ! video/x-h265,profile=main ! h265parse\"),\n ),\n \"mpeg2\" : dict(\n sw = (dict(maxres = (2048, 2048)), have_gst_element(\"avenc_mpeg2video\"), \"avenc_mpeg2video ! mpegvideoparse\"),\n hw = (platform.get_caps(\"encode\", \"mpeg2\"), have_gst_element(\"msdkmpeg2enc\"), \"msdkmpeg2enc ! mpegvideoparse\"),\n ),\n \"mjpeg\" : dict(\n sw = (dict(maxres = (16384, 16384)), have_gst_element(\"jpegenc\"), \"jpegenc ! jpegparse\"),\n hw = (platform.get_caps(\"vdenc\", \"jpeg\"), have_gst_element(\"msdkmjpegenc\"), \"msdkmjpegenc ! jpegparse\"),\n ),\n },\n vpp = {\n \"scale\" : dict(\n sw = (True, have_gst_element(\"videoscale\"), \"videoscale ! video/x-raw,width={width},height={height}\"),\n hw = (platform.get_caps(\"vpp\", \"scale\"), have_gst_element(\"msdkvpp\"), \"msdkvpp hardware=true scaling-mode=1 ! video/x-raw,format={format},width={width},height={height}\"),\n ),\n },\n )\n\n # hevc implies hevc 8 bit\n requirements[\"encode\"][\"hevc\"] = requirements[\"encode\"][\"hevc-8\"]\n requirements[\"decode\"][\"hevc\"] = requirements[\"decode\"][\"hevc-8\"]\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(\n codec, {}).get(\n mode, (None, (False, \"{}:{}:{}\".format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data(\"decode\", codec, mode)\n assert decoder is not None, \"failed to find a suitable decoder: {}:{}\".format(codec, mode)\n return decoder.format(**vars(self))\n\n def get_encoder(self, codec, mode):\n _, _, encoder = self.get_requirements_data(\"encode\", codec, mode)\n assert encoder is not None, \"failed to find a suitable encoder: {}:{}\".format(codec, mode)\n return encoder.format(**vars(self))\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data(\"vpp\", \"scale\", mode)\n assert scale is not None, \"failed to find a suitable vpp scaler: {}\".format(mode)\n return scale.format(width = width or self.width, height = height or self.height, format = self.format)\n\n def get_file_ext(self, codec):\n return {\n \"avc\" : \"h264\",\n \"hevc\" : \"h265\",\n \"hevc-8\" : \"h265\",\n \"mpeg2\" : \"m2v\",\n \"mjpeg\" : \"mjpeg\",\n }.get(codec, \"???\")\n\n def validate_caps(self):\n assert len(self.outputs), \"Invalid test case specification, outputs data empty\"\n assert self.mode in [\"sw\", \"hw\"], \"Invalid test case specification as mode type not valid\"\n\n icaps, ireq, _ = self.get_requirements_data(\"decode\", self.codec, self.mode)\n requires = [ireq,]\n\n if icaps is None:\n slash.skip_test(\n \"decode.{codec}.{mode} unsupported\".format(**vars(self)))\n\n maxw, maxh = icaps[\"maxres\"]\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n \"decode.{codec}.{mode}.{width}x{height} unsupported\".format(**vars(self)))\n\n for output in self.outputs:\n codec = output[\"codec\"]\n mode = output[\"mode\"]\n assert mode in [\"sw\", \"hw\"], \"Invalid test case specification as output mode type not valid\"\n ocaps, oreq, _ = self.get_requirements_data(\"encode\", codec, mode)\n requires.append(oreq)\n\n if ocaps is None:\n slash.skip_test(\n \"encode.{codec}.{mode} unsupported\".format(codec = codec, mode = mode))\n\n maxw, maxh = ocaps[\"maxres\"]\n w = output.get(\"width\", None)\n h = output.get(\"height\", None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n \"encode.{codec}.{mode}.{width}x{height} unsupported\".format(\n codec = codec, mode = mode,\n width = (w or self.width),\n height = (h or self.height)))\n\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data(\"vpp\", \"scale\", mode)\n requires.append(oreq)\n\n if ocaps is None:\n slash.skip_test(\n \"vpp.scale.{mode} unsupported\".format(mode = mode))\n\n unmet = set([m for t,m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n \"Missing one or more required gstreamer elements: {}\".format(list(unmet)))\n\n self.format = vars(self).get(\"format\", \"NV12\")\n\n def gen_input_opts(self):\n opts = \"filesrc location={source}\"\n opts += \" ! \" + self.get_decoder(self.codec, self.mode)\n opts += \" ! video/x-raw,format={format}\"\n return opts.format(**vars(self))\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = \"tee name=transcoder\"\n\n for n, output in enumerate(self.outputs):\n codec = output[\"codec\"]\n mode = output[\"mode\"]\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n\n vppscale = self.get_vpp_scale(\n output.get(\"width\", None), output.get(\"height\", None), mode)\n\n for channel in range(output.get(\"channels\", 1)):\n ofile = get_media()._test_artifact(\n \"{}_{}_{}.{}\".format(self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n\n opts += \" ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0\"\n if vppscale is not None:\n opts += \" ! {}\".format(vppscale)\n opts += \" ! {}\".format(encoder)\n opts += \" ! filesink location={} transcoder.\".format(ofile)\n\n # dump decoded source to yuv for reference comparison\n self.srcyuv = get_media()._test_artifact(\n \"src_{case}.yuv\".format(**vars(self)))\n opts += \" ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0\"\n opts += \" ! checksumsink2 file-checksum=false qos=false\"\n opts += \" frame-checksum=false plane-checksum=false dump-output=true\"\n opts += \" dump-location={srcyuv}\"\n\n return opts.format(**vars(self))\n\n @timefn(\"gst\")\n def call_gst(self, iopts, oopts):\n call(\"gst-launch-1.0 -vf {iopts} ! {oopts}\".format(\n iopts = iopts, oopts = oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n\n get_media().test_call_timeout = vars(self).get(\"call_timeout\", 0)\n\n self.call_gst(iopts, oopts)\n\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{\"output.{}\".format(n) : output})\n for channel in range(output.get(\"channels\", 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact(\n \"{}_{}_{}.yuv\".format(self.case, n, channel))\n iopts = \"filesrc location={} ! {}\"\n oopts = self.get_vpp_scale(self.width, self.height, \"hw\")\n oopts += \" ! checksumsink2 file-checksum=false qos=false\"\n oopts += \" frame-checksum=false plane-checksum=false dump-output=true\"\n oopts += \" dump-location={}\"\n self.call_gst(\n iopts.format(encoded, self.get_decoder(output[\"codec\"], \"hw\")),\n oopts.format(yuv))\n self.check_metrics(yuv, refctx = [(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(\n psnr = calculate_psnr(\n self.srcyuv, yuv,\n self.width, self.height,\n self.frames, self.format),\n context = self.refctx + refctx,\n )\n",
"from ....lib import *\nfrom .util import *\nimport os\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n requirements = dict(decode={'avc': dict(sw=(dict(maxres=(16384, 16384)),\n have_gst_element('avdec_h264'), 'h264parse ! avdec_h264'), hw=(\n platform.get_caps('decode', 'avc'), have_gst_element('msdkh264dec'),\n 'h264parse ! msdkh264dec')), 'hevc-8': dict(sw=(dict(maxres=(16384,\n 16384)), have_gst_element('avdec_h265'), 'h265parse ! avdec_h265'),\n hw=(platform.get_caps('decode', 'hevc_8'), have_gst_element(\n 'msdkh265dec'), 'h265parse ! msdkh265dec')), 'mpeg2': dict(sw=(dict\n (maxres=(2048, 2048)), have_gst_element('avdec_mpeg2video'),\n 'mpegvideoparse ! avdec_mpeg2video'), hw=(platform.get_caps(\n 'decode', 'mpeg2'), have_gst_element('msdkmpeg2dec'),\n 'mpegvideoparse ! msdkmpeg2dec')), 'mjpeg': dict(sw=(dict(maxres=(\n 16384, 16384)), have_gst_element('jpegdec'), 'jpegparse ! jpegdec'),\n hw=(platform.get_caps('decode', 'jpeg'), have_gst_element(\n 'msdkmjpegdec'), 'jpegparse ! msdkmjpegdec')), 'vc1': dict(sw=(dict\n (maxres=(16384, 16384)), have_gst_element('avdec_vc1'),\n \"'video/x-wmv,profile=(string)advanced',width={width},height={height},framerate=14/1 ! avdec_vc1\"\n ), hw=(platform.get_caps('decode', 'vc1'), have_gst_element(\n 'msdkvc1dec'),\n \"'video/x-wmv,profile=(string)advanced',width={width},height={height},framerate=14/1 ! msdkvc1dec\"\n ))}, encode={'avc': dict(sw=(dict(maxres=(16384, 16384)),\n have_gst_element('x264enc'),\n 'x264enc ! video/x-h264,profile=main ! h264parse'), hw=(platform.\n get_caps('encode', 'avc'), have_gst_element('msdkh264enc'),\n 'msdkh264enc ! video/x-h264,profile=main ! h264parse')), 'hevc-8':\n dict(sw=(dict(maxres=(16384, 16384)), have_gst_element('x265enc'),\n 'videoconvert chroma-mode=none dither=0 ! video/x-raw,format=I420 ! x265enc ! video/x-h265,profile=main ! h265parse'\n ), hw=(platform.get_caps('encode', 'hevc_8'), have_gst_element(\n 'msdkh265enc'),\n 'msdkh265enc ! video/x-h265,profile=main ! h265parse')), 'mpeg2':\n dict(sw=(dict(maxres=(2048, 2048)), have_gst_element(\n 'avenc_mpeg2video'), 'avenc_mpeg2video ! mpegvideoparse'), hw=(\n platform.get_caps('encode', 'mpeg2'), have_gst_element(\n 'msdkmpeg2enc'), 'msdkmpeg2enc ! mpegvideoparse')), 'mjpeg': dict(\n sw=(dict(maxres=(16384, 16384)), have_gst_element('jpegenc'),\n 'jpegenc ! jpegparse'), hw=(platform.get_caps('vdenc', 'jpeg'),\n have_gst_element('msdkmjpegenc'), 'msdkmjpegenc ! jpegparse'))},\n vpp={'scale': dict(sw=(True, have_gst_element('videoscale'),\n 'videoscale ! video/x-raw,width={width},height={height}'), hw=(\n platform.get_caps('vpp', 'scale'), have_gst_element('msdkvpp'),\n 'msdkvpp hardware=true scaling-mode=1 ! video/x-raw,format={format},width={width},height={height}'\n ))})\n requirements['encode']['hevc'] = requirements['encode']['hevc-8']\n requirements['decode']['hevc'] = requirements['decode']['hevc-8']\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data('decode', codec, mode)\n assert decoder is not None, 'failed to find a suitable decoder: {}:{}'.format(\n codec, mode)\n return decoder.format(**vars(self))\n\n def get_encoder(self, codec, mode):\n _, _, encoder = self.get_requirements_data('encode', codec, mode)\n assert encoder is not None, 'failed to find a suitable encoder: {}:{}'.format(\n codec, mode)\n return encoder.format(**vars(self))\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n\n def get_file_ext(self, codec):\n return {'avc': 'h264', 'hevc': 'h265', 'hevc-8': 'h265', 'mpeg2':\n 'm2v', 'mjpeg': 'mjpeg'}.get(codec, '???')\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n\n def gen_input_opts(self):\n opts = 'filesrc location={source}'\n opts += ' ! ' + self.get_decoder(self.codec, self.mode)\n opts += ' ! video/x-raw,format={format}'\n return opts.format(**vars(self))\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n requirements = dict(decode={'avc': dict(sw=(dict(maxres=(16384, 16384)),\n have_gst_element('avdec_h264'), 'h264parse ! avdec_h264'), hw=(\n platform.get_caps('decode', 'avc'), have_gst_element('msdkh264dec'),\n 'h264parse ! msdkh264dec')), 'hevc-8': dict(sw=(dict(maxres=(16384,\n 16384)), have_gst_element('avdec_h265'), 'h265parse ! avdec_h265'),\n hw=(platform.get_caps('decode', 'hevc_8'), have_gst_element(\n 'msdkh265dec'), 'h265parse ! msdkh265dec')), 'mpeg2': dict(sw=(dict\n (maxres=(2048, 2048)), have_gst_element('avdec_mpeg2video'),\n 'mpegvideoparse ! avdec_mpeg2video'), hw=(platform.get_caps(\n 'decode', 'mpeg2'), have_gst_element('msdkmpeg2dec'),\n 'mpegvideoparse ! msdkmpeg2dec')), 'mjpeg': dict(sw=(dict(maxres=(\n 16384, 16384)), have_gst_element('jpegdec'), 'jpegparse ! jpegdec'),\n hw=(platform.get_caps('decode', 'jpeg'), have_gst_element(\n 'msdkmjpegdec'), 'jpegparse ! msdkmjpegdec')), 'vc1': dict(sw=(dict\n (maxres=(16384, 16384)), have_gst_element('avdec_vc1'),\n \"'video/x-wmv,profile=(string)advanced',width={width},height={height},framerate=14/1 ! avdec_vc1\"\n ), hw=(platform.get_caps('decode', 'vc1'), have_gst_element(\n 'msdkvc1dec'),\n \"'video/x-wmv,profile=(string)advanced',width={width},height={height},framerate=14/1 ! msdkvc1dec\"\n ))}, encode={'avc': dict(sw=(dict(maxres=(16384, 16384)),\n have_gst_element('x264enc'),\n 'x264enc ! video/x-h264,profile=main ! h264parse'), hw=(platform.\n get_caps('encode', 'avc'), have_gst_element('msdkh264enc'),\n 'msdkh264enc ! video/x-h264,profile=main ! h264parse')), 'hevc-8':\n dict(sw=(dict(maxres=(16384, 16384)), have_gst_element('x265enc'),\n 'videoconvert chroma-mode=none dither=0 ! video/x-raw,format=I420 ! x265enc ! video/x-h265,profile=main ! h265parse'\n ), hw=(platform.get_caps('encode', 'hevc_8'), have_gst_element(\n 'msdkh265enc'),\n 'msdkh265enc ! video/x-h265,profile=main ! h265parse')), 'mpeg2':\n dict(sw=(dict(maxres=(2048, 2048)), have_gst_element(\n 'avenc_mpeg2video'), 'avenc_mpeg2video ! mpegvideoparse'), hw=(\n platform.get_caps('encode', 'mpeg2'), have_gst_element(\n 'msdkmpeg2enc'), 'msdkmpeg2enc ! mpegvideoparse')), 'mjpeg': dict(\n sw=(dict(maxres=(16384, 16384)), have_gst_element('jpegenc'),\n 'jpegenc ! jpegparse'), hw=(platform.get_caps('vdenc', 'jpeg'),\n have_gst_element('msdkmjpegenc'), 'msdkmjpegenc ! jpegparse'))},\n vpp={'scale': dict(sw=(True, have_gst_element('videoscale'),\n 'videoscale ! video/x-raw,width={width},height={height}'), hw=(\n platform.get_caps('vpp', 'scale'), have_gst_element('msdkvpp'),\n 'msdkvpp hardware=true scaling-mode=1 ! video/x-raw,format={format},width={width},height={height}'\n ))})\n requirements['encode']['hevc'] = requirements['encode']['hevc-8']\n requirements['decode']['hevc'] = requirements['decode']['hevc-8']\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data('decode', codec, mode)\n assert decoder is not None, 'failed to find a suitable decoder: {}:{}'.format(\n codec, mode)\n return decoder.format(**vars(self))\n\n def get_encoder(self, codec, mode):\n _, _, encoder = self.get_requirements_data('encode', codec, mode)\n assert encoder is not None, 'failed to find a suitable encoder: {}:{}'.format(\n codec, mode)\n return encoder.format(**vars(self))\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n\n def get_file_ext(self, codec):\n return {'avc': 'h264', 'hevc': 'h265', 'hevc-8': 'h265', 'mpeg2':\n 'm2v', 'mjpeg': 'mjpeg'}.get(codec, '???')\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n\n def gen_input_opts(self):\n opts = 'filesrc location={source}'\n opts += ' ! ' + self.get_decoder(self.codec, self.mode)\n opts += ' ! video/x-raw,format={format}'\n return opts.format(**vars(self))\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data('decode', codec, mode)\n assert decoder is not None, 'failed to find a suitable decoder: {}:{}'.format(\n codec, mode)\n return decoder.format(**vars(self))\n\n def get_encoder(self, codec, mode):\n _, _, encoder = self.get_requirements_data('encode', codec, mode)\n assert encoder is not None, 'failed to find a suitable encoder: {}:{}'.format(\n codec, mode)\n return encoder.format(**vars(self))\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n\n def get_file_ext(self, codec):\n return {'avc': 'h264', 'hevc': 'h265', 'hevc-8': 'h265', 'mpeg2':\n 'm2v', 'mjpeg': 'mjpeg'}.get(codec, '???')\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n\n def gen_input_opts(self):\n opts = 'filesrc location={source}'\n opts += ' ! ' + self.get_decoder(self.codec, self.mode)\n opts += ' ! video/x-raw,format={format}'\n return opts.format(**vars(self))\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data('decode', codec, mode)\n assert decoder is not None, 'failed to find a suitable decoder: {}:{}'.format(\n codec, mode)\n return decoder.format(**vars(self))\n\n def get_encoder(self, codec, mode):\n _, _, encoder = self.get_requirements_data('encode', codec, mode)\n assert encoder is not None, 'failed to find a suitable encoder: {}:{}'.format(\n codec, mode)\n return encoder.format(**vars(self))\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n\n def gen_input_opts(self):\n opts = 'filesrc location={source}'\n opts += ' ! ' + self.get_decoder(self.codec, self.mode)\n opts += ' ! video/x-raw,format={format}'\n return opts.format(**vars(self))\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data('decode', codec, mode)\n assert decoder is not None, 'failed to find a suitable decoder: {}:{}'.format(\n codec, mode)\n return decoder.format(**vars(self))\n <function token>\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n\n def gen_input_opts(self):\n opts = 'filesrc location={source}'\n opts += ' ! ' + self.get_decoder(self.codec, self.mode)\n opts += ' ! video/x-raw,format={format}'\n return opts.format(**vars(self))\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n\n def get_decoder(self, codec, mode):\n _, _, decoder = self.get_requirements_data('decode', codec, mode)\n assert decoder is not None, 'failed to find a suitable decoder: {}:{}'.format(\n codec, mode)\n return decoder.format(**vars(self))\n <function token>\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n <function token>\n <function token>\n\n def get_vpp_scale(self, width, height, mode):\n if width is None and height is None:\n return None\n _, _, scale = self.get_requirements_data('vpp', 'scale', mode)\n assert scale is not None, 'failed to find a suitable vpp scaler: {}'.format(\n mode)\n return scale.format(width=width or self.width, height=height or\n self.height, format=self.format)\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n\n def check_metrics(self, yuv, refctx):\n get_media().baseline.check_psnr(psnr=calculate_psnr(self.srcyuv,\n yuv, self.width, self.height, self.frames, self.format),\n context=self.refctx + refctx)\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n\n def get_requirements_data(self, ttype, codec, mode):\n return self.requirements[ttype].get(codec, {}).get(mode, (None, (\n False, '{}:{}:{}'.format(ttype, codec, mode)), None))\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n <function token>\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n\n def gen_output_opts(self):\n self.goutputs = dict()\n opts = 'tee name=transcoder'\n for n, output in enumerate(self.outputs):\n codec = output['codec']\n mode = output['mode']\n encoder = self.get_encoder(codec, mode)\n ext = self.get_file_ext(codec)\n vppscale = self.get_vpp_scale(output.get('width', None), output\n .get('height', None), mode)\n for channel in range(output.get('channels', 1)):\n ofile = get_media()._test_artifact('{}_{}_{}.{}'.format(\n self.case, n, channel, ext))\n self.goutputs.setdefault(n, list()).append(ofile)\n opts += (\n ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n )\n if vppscale is not None:\n opts += ' ! {}'.format(vppscale)\n opts += ' ! {}'.format(encoder)\n opts += ' ! filesink location={} transcoder.'.format(ofile)\n self.srcyuv = get_media()._test_artifact('src_{case}.yuv'.format(**\n vars(self)))\n opts += ' ! queue max-size-buffers=0 max-size-bytes=0 max-size-time=0'\n opts += ' ! checksumsink2 file-checksum=false qos=false'\n opts += ' frame-checksum=false plane-checksum=false dump-output=true'\n opts += ' dump-location={srcyuv}'\n return opts.format(**vars(self))\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n <function token>\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def before(self):\n self.refctx = []\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n <function token>\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n <function token>\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n <function token>\n\n @timefn('gst')\n def call_gst(self, iopts, oopts):\n call('gst-launch-1.0 -vf {iopts} ! {oopts}'.format(iopts=iopts,\n oopts=oopts))\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n <function token>\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n <function token>\n <function token>\n\n def transcode(self):\n self.validate_caps()\n iopts = self.gen_input_opts()\n oopts = self.gen_output_opts()\n get_media().test_call_timeout = vars(self).get('call_timeout', 0)\n self.call_gst(iopts, oopts)\n for n, output in enumerate(self.outputs):\n get_media()._set_test_details(**{'output.{}'.format(n): output})\n for channel in range(output.get('channels', 1)):\n encoded = self.goutputs[n][channel]\n yuv = get_media()._test_artifact('{}_{}_{}.yuv'.format(self\n .case, n, channel))\n iopts = 'filesrc location={} ! {}'\n oopts = self.get_vpp_scale(self.width, self.height, 'hw')\n oopts += ' ! checksumsink2 file-checksum=false qos=false'\n oopts += (\n ' frame-checksum=false plane-checksum=false dump-output=true'\n )\n oopts += ' dump-location={}'\n self.call_gst(iopts.format(encoded, self.get_decoder(output\n ['codec'], 'hw')), oopts.format(yuv))\n self.check_metrics(yuv, refctx=[(n, channel)])\n get_media()._purge_test_artifact(yuv)\n <function token>\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def validate_caps(self):\n assert len(self.outputs\n ), 'Invalid test case specification, outputs data empty'\n assert self.mode in ['sw', 'hw'\n ], 'Invalid test case specification as mode type not valid'\n icaps, ireq, _ = self.get_requirements_data('decode', self.codec,\n self.mode)\n requires = [ireq]\n if icaps is None:\n slash.skip_test('decode.{codec}.{mode} unsupported'.format(**\n vars(self)))\n maxw, maxh = icaps['maxres']\n if self.width > maxw or self.height > maxh:\n slash.skip_test(\n 'decode.{codec}.{mode}.{width}x{height} unsupported'.format\n (**vars(self)))\n for output in self.outputs:\n codec = output['codec']\n mode = output['mode']\n assert mode in ['sw', 'hw'\n ], 'Invalid test case specification as output mode type not valid'\n ocaps, oreq, _ = self.get_requirements_data('encode', codec, mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('encode.{codec}.{mode} unsupported'.format(\n codec=codec, mode=mode))\n maxw, maxh = ocaps['maxres']\n w = output.get('width', None)\n h = output.get('height', None)\n if (w or self.width) > maxw or (h or self.height) > maxh:\n slash.skip_test(\n 'encode.{codec}.{mode}.{width}x{height} unsupported'.\n format(codec=codec, mode=mode, width=w or self.width,\n height=h or self.height))\n if w is not None or h is not None:\n ocaps, oreq, _ = self.get_requirements_data('vpp', 'scale',\n mode)\n requires.append(oreq)\n if ocaps is None:\n slash.skip_test('vpp.scale.{mode} unsupported'.format(\n mode=mode))\n unmet = set([m for t, m in requires if not t])\n if len(unmet) != 0:\n slash.skip_test(\n 'Missing one or more required gstreamer elements: {}'.\n format(list(unmet)))\n self.format = vars(self).get('format', 'NV12')\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n\n\[email protected](have_gst)\[email protected](*have_gst_element('msdk'))\[email protected](*have_gst_element('checksumsink2'))\[email protected](using_compatible_driver)\nclass TranscoderTest(slash.Test):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,734 |
5b8fa53379abc7cc38148be203f7c04cfbf27bfa
|
import init
import models
models.sync_tables()
|
[
"import init\nimport models\n\nmodels.sync_tables()",
"import init\nimport models\nmodels.sync_tables()\n",
"<import token>\nmodels.sync_tables()\n",
"<import token>\n<code token>\n"
] | false |
98,735 |
d7d34b5b8ce806bfe68bfdda71f020fdc1587002
|
valor = int(input("Qual o valor do saque? "))
x = valor // 50
x50 = valor % 50
notas10 = x50 // 10
resto10 = x50 % 10
notas2 = resto10 // 2
print(int(x))
print(int(notas10))
print(int(notas2))
|
[
"\nvalor = int(input(\"Qual o valor do saque? \"))\nx = valor // 50 \nx50 = valor % 50\nnotas10 = x50 // 10\nresto10 = x50 % 10\nnotas2 = resto10 // 2\n\nprint(int(x))\nprint(int(notas10))\nprint(int(notas2))\n",
"valor = int(input('Qual o valor do saque? '))\nx = valor // 50\nx50 = valor % 50\nnotas10 = x50 // 10\nresto10 = x50 % 10\nnotas2 = resto10 // 2\nprint(int(x))\nprint(int(notas10))\nprint(int(notas2))\n",
"<assignment token>\nprint(int(x))\nprint(int(notas10))\nprint(int(notas2))\n",
"<assignment token>\n<code token>\n"
] | false |
98,736 |
b3f6247e7afa359764b5e35ed48f2ee8d5370cc9
|
#
# PySNMP MIB module SYMM-COMMON-SMI (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/neermitt/Dev/kusanagi/mibs.snmplabs.com/asn1/SYMM-COMMON-SMI
# Produced by pysmi-0.3.4 at Tue Jul 30 11:34:07 2019
# On host NEERMITT-M-J0NV platform Darwin version 18.6.0 by user neermitt
# Using Python version 3.7.4 (default, Jul 9 2019, 18:13:23)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueSizeConstraint", "SingleValueConstraint")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
enterprises, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Integer32, IpAddress, MibIdentifier, iso, TimeTicks, Gauge32, Unsigned32, NotificationType, Counter32, ObjectIdentity, ModuleIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "enterprises", "Counter64", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Integer32", "IpAddress", "MibIdentifier", "iso", "TimeTicks", "Gauge32", "Unsigned32", "NotificationType", "Counter32", "ObjectIdentity", "ModuleIdentity")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
symmetricom = ModuleIdentity((1, 3, 6, 1, 4, 1, 9070))
symmetricom.setRevisions(('2018-08-23 08:22',))
if mibBuilder.loadTexts: symmetricom.setLastUpdated('201808230822Z')
if mibBuilder.loadTexts: symmetricom.setOrganization('Symmetricom, Inc.')
class EnableValue(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("enable", 1), ("disable", 2))
class TP5000MODULEID(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15))
namedValues = NamedValues(("sys", 1), ("imc", 2), ("ioc1", 3), ("ioc2", 4), ("io", 5), ("exp0", 6), ("exp1", 7), ("exp2", 8), ("exp3", 9), ("exp4", 10), ("exp5", 11), ("exp6", 12), ("exp7", 13), ("exp8", 14), ("exp9", 15))
class ONVALUETYPE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("on", 1), ("off", 2))
class ACTIONONLY(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("apply", 1), ("nonapply", 2))
class OPMODETYPE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("auto", 1), ("manual", 2))
class ACTIVEVALUETYPE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("active", 1), ("inactive", 2))
class YESVALUETYPE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("yes", 1), ("no", 2))
class OKVALUETYPE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("ok", 1), ("fault", 2))
class VALIDTYPE(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3))
namedValues = NamedValues(("valid", 1), ("invalid", 2), ("nurture", 3))
class GNSSHealthStatus(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("healthy", 1), ("unhealthy", 2))
class GNSSReceiverMode(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 128))
namedValues = NamedValues(("beidou", 1), ("gps", 2), ("priorityBeidou", 4), ("priorityGps", 5), ("gnssGPS", 17), ("gnssGlonass", 18), ("gnssGPSGlonass", 19), ("gnssGalileo", 20), ("gnssGPSGalileo", 21), ("gnssGlonassGalileo", 22), ("gnssGPSGlonassGalileo", 23), ("gnssBeidou", 24), ("gnssBeidouGPS", 25), ("gnssBeidouGlonass", 26), ("gnssBeidouGlonassGPSReserved", 27), ("gnssBeidouGalileo", 28), ("gnssBeidouGalileoGPS", 29), ("gnssBeidouGalileoGlonassReserved", 30), ("gnssBeidouGalileoGlonassGPSReserved", 31), ("notApplicable", 128))
class GNSSPositionMode(Integer32):
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("auto", 1), ("manual", 2))
symmNetworkManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1))
if mibBuilder.loadTexts: symmNetworkManagement.setStatus('current')
symmCmipManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 1))
if mibBuilder.loadTexts: symmCmipManagement.setStatus('current')
symmSnmpManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2))
if mibBuilder.loadTexts: symmSnmpManagement.setStatus('current')
symmTimePictra = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 1))
if mibBuilder.loadTexts: symmTimePictra.setStatus('current')
symmBroadband = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 2))
if mibBuilder.loadTexts: symmBroadband.setStatus('current')
symmTTM = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 3))
if mibBuilder.loadTexts: symmTTM.setStatus('current')
symmTSD = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 4))
if mibBuilder.loadTexts: symmTSD.setStatus('current')
symmCommonModelV1 = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5))
if mibBuilder.loadTexts: symmCommonModelV1.setStatus('current')
symmPacketService = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 1))
if mibBuilder.loadTexts: symmPacketService.setStatus('current')
symmPhysicalSignal = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2))
if mibBuilder.loadTexts: symmPhysicalSignal.setStatus('current')
symmClock = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 3))
if mibBuilder.loadTexts: symmClock.setStatus('current')
symmNetwork = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 4))
if mibBuilder.loadTexts: symmNetwork.setStatus('current')
symmEntPhysicalExtension = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 5))
if mibBuilder.loadTexts: symmEntPhysicalExtension.setStatus('current')
symmInterfaceExtension = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 6))
if mibBuilder.loadTexts: symmInterfaceExtension.setStatus('current')
symmDeviceDependent = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 7))
if mibBuilder.loadTexts: symmDeviceDependent.setStatus('current')
mibBuilder.exportSymbols("SYMM-COMMON-SMI", ONVALUETYPE=ONVALUETYPE, EnableValue=EnableValue, GNSSPositionMode=GNSSPositionMode, symmPhysicalSignal=symmPhysicalSignal, symmTTM=symmTTM, ACTIVEVALUETYPE=ACTIVEVALUETYPE, symmetricom=symmetricom, symmCommonModelV1=symmCommonModelV1, YESVALUETYPE=YESVALUETYPE, symmNetworkManagement=symmNetworkManagement, symmInterfaceExtension=symmInterfaceExtension, symmBroadband=symmBroadband, GNSSReceiverMode=GNSSReceiverMode, symmNetwork=symmNetwork, symmCmipManagement=symmCmipManagement, symmEntPhysicalExtension=symmEntPhysicalExtension, symmSnmpManagement=symmSnmpManagement, symmTimePictra=symmTimePictra, symmClock=symmClock, OPMODETYPE=OPMODETYPE, symmDeviceDependent=symmDeviceDependent, symmPacketService=symmPacketService, GNSSHealthStatus=GNSSHealthStatus, OKVALUETYPE=OKVALUETYPE, symmTSD=symmTSD, VALIDTYPE=VALIDTYPE, TP5000MODULEID=TP5000MODULEID, ACTIONONLY=ACTIONONLY, PYSNMP_MODULE_ID=symmetricom)
|
[
"#\n# PySNMP MIB module SYMM-COMMON-SMI (http://snmplabs.com/pysmi)\n# ASN.1 source file:///Users/neermitt/Dev/kusanagi/mibs.snmplabs.com/asn1/SYMM-COMMON-SMI\n# Produced by pysmi-0.3.4 at Tue Jul 30 11:34:07 2019\n# On host NEERMITT-M-J0NV platform Darwin version 18.6.0 by user neermitt\n# Using Python version 3.7.4 (default, Jul 9 2019, 18:13:23) \n#\nOctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols(\"ASN1\", \"OctetString\", \"ObjectIdentifier\", \"Integer\")\nNamedValues, = mibBuilder.importSymbols(\"ASN1-ENUMERATION\", \"NamedValues\")\nValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueSizeConstraint, SingleValueConstraint = mibBuilder.importSymbols(\"ASN1-REFINEMENT\", \"ValueRangeConstraint\", \"ConstraintsUnion\", \"ConstraintsIntersection\", \"ValueSizeConstraint\", \"SingleValueConstraint\")\nNotificationGroup, ModuleCompliance = mibBuilder.importSymbols(\"SNMPv2-CONF\", \"NotificationGroup\", \"ModuleCompliance\")\nenterprises, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Integer32, IpAddress, MibIdentifier, iso, TimeTicks, Gauge32, Unsigned32, NotificationType, Counter32, ObjectIdentity, ModuleIdentity = mibBuilder.importSymbols(\"SNMPv2-SMI\", \"enterprises\", \"Counter64\", \"MibScalar\", \"MibTable\", \"MibTableRow\", \"MibTableColumn\", \"Bits\", \"Integer32\", \"IpAddress\", \"MibIdentifier\", \"iso\", \"TimeTicks\", \"Gauge32\", \"Unsigned32\", \"NotificationType\", \"Counter32\", \"ObjectIdentity\", \"ModuleIdentity\")\nTextualConvention, DisplayString = mibBuilder.importSymbols(\"SNMPv2-TC\", \"TextualConvention\", \"DisplayString\")\nsymmetricom = ModuleIdentity((1, 3, 6, 1, 4, 1, 9070))\nsymmetricom.setRevisions(('2018-08-23 08:22',))\nif mibBuilder.loadTexts: symmetricom.setLastUpdated('201808230822Z')\nif mibBuilder.loadTexts: symmetricom.setOrganization('Symmetricom, Inc.')\nclass EnableValue(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"enable\", 1), (\"disable\", 2))\n\nclass TP5000MODULEID(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15))\n namedValues = NamedValues((\"sys\", 1), (\"imc\", 2), (\"ioc1\", 3), (\"ioc2\", 4), (\"io\", 5), (\"exp0\", 6), (\"exp1\", 7), (\"exp2\", 8), (\"exp3\", 9), (\"exp4\", 10), (\"exp5\", 11), (\"exp6\", 12), (\"exp7\", 13), (\"exp8\", 14), (\"exp9\", 15))\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"on\", 1), (\"off\", 2))\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"apply\", 1), (\"nonapply\", 2))\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"auto\", 1), (\"manual\", 2))\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"active\", 1), (\"inactive\", 2))\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"yes\", 1), (\"no\", 2))\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"ok\", 1), (\"fault\", 2))\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues((\"valid\", 1), (\"invalid\", 2), (\"nurture\", 3))\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"healthy\", 1), (\"unhealthy\", 2))\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues((\"beidou\", 1), (\"gps\", 2), (\"priorityBeidou\", 4), (\"priorityGps\", 5), (\"gnssGPS\", 17), (\"gnssGlonass\", 18), (\"gnssGPSGlonass\", 19), (\"gnssGalileo\", 20), (\"gnssGPSGalileo\", 21), (\"gnssGlonassGalileo\", 22), (\"gnssGPSGlonassGalileo\", 23), (\"gnssBeidou\", 24), (\"gnssBeidouGPS\", 25), (\"gnssBeidouGlonass\", 26), (\"gnssBeidouGlonassGPSReserved\", 27), (\"gnssBeidouGalileo\", 28), (\"gnssBeidouGalileoGPS\", 29), (\"gnssBeidouGalileoGlonassReserved\", 30), (\"gnssBeidouGalileoGlonassGPSReserved\", 31), (\"notApplicable\", 128))\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))\n namedValues = NamedValues((\"auto\", 1), (\"manual\", 2))\n\nsymmNetworkManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1))\nif mibBuilder.loadTexts: symmNetworkManagement.setStatus('current')\nsymmCmipManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 1))\nif mibBuilder.loadTexts: symmCmipManagement.setStatus('current')\nsymmSnmpManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2))\nif mibBuilder.loadTexts: symmSnmpManagement.setStatus('current')\nsymmTimePictra = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 1))\nif mibBuilder.loadTexts: symmTimePictra.setStatus('current')\nsymmBroadband = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 2))\nif mibBuilder.loadTexts: symmBroadband.setStatus('current')\nsymmTTM = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 3))\nif mibBuilder.loadTexts: symmTTM.setStatus('current')\nsymmTSD = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 4))\nif mibBuilder.loadTexts: symmTSD.setStatus('current')\nsymmCommonModelV1 = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5))\nif mibBuilder.loadTexts: symmCommonModelV1.setStatus('current')\nsymmPacketService = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 1))\nif mibBuilder.loadTexts: symmPacketService.setStatus('current')\nsymmPhysicalSignal = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2))\nif mibBuilder.loadTexts: symmPhysicalSignal.setStatus('current')\nsymmClock = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 3))\nif mibBuilder.loadTexts: symmClock.setStatus('current')\nsymmNetwork = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 4))\nif mibBuilder.loadTexts: symmNetwork.setStatus('current')\nsymmEntPhysicalExtension = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 5))\nif mibBuilder.loadTexts: symmEntPhysicalExtension.setStatus('current')\nsymmInterfaceExtension = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 6))\nif mibBuilder.loadTexts: symmInterfaceExtension.setStatus('current')\nsymmDeviceDependent = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 7))\nif mibBuilder.loadTexts: symmDeviceDependent.setStatus('current')\nmibBuilder.exportSymbols(\"SYMM-COMMON-SMI\", ONVALUETYPE=ONVALUETYPE, EnableValue=EnableValue, GNSSPositionMode=GNSSPositionMode, symmPhysicalSignal=symmPhysicalSignal, symmTTM=symmTTM, ACTIVEVALUETYPE=ACTIVEVALUETYPE, symmetricom=symmetricom, symmCommonModelV1=symmCommonModelV1, YESVALUETYPE=YESVALUETYPE, symmNetworkManagement=symmNetworkManagement, symmInterfaceExtension=symmInterfaceExtension, symmBroadband=symmBroadband, GNSSReceiverMode=GNSSReceiverMode, symmNetwork=symmNetwork, symmCmipManagement=symmCmipManagement, symmEntPhysicalExtension=symmEntPhysicalExtension, symmSnmpManagement=symmSnmpManagement, symmTimePictra=symmTimePictra, symmClock=symmClock, OPMODETYPE=OPMODETYPE, symmDeviceDependent=symmDeviceDependent, symmPacketService=symmPacketService, GNSSHealthStatus=GNSSHealthStatus, OKVALUETYPE=OKVALUETYPE, symmTSD=symmTSD, VALIDTYPE=VALIDTYPE, TP5000MODULEID=TP5000MODULEID, ACTIONONLY=ACTIONONLY, PYSNMP_MODULE_ID=symmetricom)\n",
"OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols('ASN1',\n 'OctetString', 'ObjectIdentifier', 'Integer')\nNamedValues, = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')\n(ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection,\n ValueSizeConstraint, SingleValueConstraint) = (mibBuilder.importSymbols\n ('ASN1-REFINEMENT', 'ValueRangeConstraint', 'ConstraintsUnion',\n 'ConstraintsIntersection', 'ValueSizeConstraint', 'SingleValueConstraint'))\nNotificationGroup, ModuleCompliance = mibBuilder.importSymbols('SNMPv2-CONF',\n 'NotificationGroup', 'ModuleCompliance')\n(enterprises, Counter64, MibScalar, MibTable, MibTableRow, MibTableColumn,\n Bits, Integer32, IpAddress, MibIdentifier, iso, TimeTicks, Gauge32,\n Unsigned32, NotificationType, Counter32, ObjectIdentity, ModuleIdentity\n ) = (mibBuilder.importSymbols('SNMPv2-SMI', 'enterprises', 'Counter64',\n 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Bits',\n 'Integer32', 'IpAddress', 'MibIdentifier', 'iso', 'TimeTicks',\n 'Gauge32', 'Unsigned32', 'NotificationType', 'Counter32',\n 'ObjectIdentity', 'ModuleIdentity'))\nTextualConvention, DisplayString = mibBuilder.importSymbols('SNMPv2-TC',\n 'TextualConvention', 'DisplayString')\nsymmetricom = ModuleIdentity((1, 3, 6, 1, 4, 1, 9070))\nsymmetricom.setRevisions(('2018-08-23 08:22',))\nif mibBuilder.loadTexts:\n symmetricom.setLastUpdated('201808230822Z')\nif mibBuilder.loadTexts:\n symmetricom.setOrganization('Symmetricom, Inc.')\n\n\nclass EnableValue(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('enable', 1), ('disable', 2))\n\n\nclass TP5000MODULEID(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n 15))\n namedValues = NamedValues(('sys', 1), ('imc', 2), ('ioc1', 3), ('ioc2',\n 4), ('io', 5), ('exp0', 6), ('exp1', 7), ('exp2', 8), ('exp3', 9),\n ('exp4', 10), ('exp5', 11), ('exp6', 12), ('exp7', 13), ('exp8', 14\n ), ('exp9', 15))\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nsymmNetworkManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1))\nif mibBuilder.loadTexts:\n symmNetworkManagement.setStatus('current')\nsymmCmipManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 1))\nif mibBuilder.loadTexts:\n symmCmipManagement.setStatus('current')\nsymmSnmpManagement = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2))\nif mibBuilder.loadTexts:\n symmSnmpManagement.setStatus('current')\nsymmTimePictra = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 1))\nif mibBuilder.loadTexts:\n symmTimePictra.setStatus('current')\nsymmBroadband = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 2))\nif mibBuilder.loadTexts:\n symmBroadband.setStatus('current')\nsymmTTM = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 3))\nif mibBuilder.loadTexts:\n symmTTM.setStatus('current')\nsymmTSD = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 4))\nif mibBuilder.loadTexts:\n symmTSD.setStatus('current')\nsymmCommonModelV1 = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5))\nif mibBuilder.loadTexts:\n symmCommonModelV1.setStatus('current')\nsymmPacketService = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 1))\nif mibBuilder.loadTexts:\n symmPacketService.setStatus('current')\nsymmPhysicalSignal = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 2))\nif mibBuilder.loadTexts:\n symmPhysicalSignal.setStatus('current')\nsymmClock = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 3))\nif mibBuilder.loadTexts:\n symmClock.setStatus('current')\nsymmNetwork = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 4))\nif mibBuilder.loadTexts:\n symmNetwork.setStatus('current')\nsymmEntPhysicalExtension = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 5))\nif mibBuilder.loadTexts:\n symmEntPhysicalExtension.setStatus('current')\nsymmInterfaceExtension = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 6))\nif mibBuilder.loadTexts:\n symmInterfaceExtension.setStatus('current')\nsymmDeviceDependent = ObjectIdentity((1, 3, 6, 1, 4, 1, 9070, 1, 2, 5, 7))\nif mibBuilder.loadTexts:\n symmDeviceDependent.setStatus('current')\nmibBuilder.exportSymbols('SYMM-COMMON-SMI', ONVALUETYPE=ONVALUETYPE,\n EnableValue=EnableValue, GNSSPositionMode=GNSSPositionMode,\n symmPhysicalSignal=symmPhysicalSignal, symmTTM=symmTTM, ACTIVEVALUETYPE\n =ACTIVEVALUETYPE, symmetricom=symmetricom, symmCommonModelV1=\n symmCommonModelV1, YESVALUETYPE=YESVALUETYPE, symmNetworkManagement=\n symmNetworkManagement, symmInterfaceExtension=symmInterfaceExtension,\n symmBroadband=symmBroadband, GNSSReceiverMode=GNSSReceiverMode,\n symmNetwork=symmNetwork, symmCmipManagement=symmCmipManagement,\n symmEntPhysicalExtension=symmEntPhysicalExtension, symmSnmpManagement=\n symmSnmpManagement, symmTimePictra=symmTimePictra, symmClock=symmClock,\n OPMODETYPE=OPMODETYPE, symmDeviceDependent=symmDeviceDependent,\n symmPacketService=symmPacketService, GNSSHealthStatus=GNSSHealthStatus,\n OKVALUETYPE=OKVALUETYPE, symmTSD=symmTSD, VALIDTYPE=VALIDTYPE,\n TP5000MODULEID=TP5000MODULEID, ACTIONONLY=ACTIONONLY, PYSNMP_MODULE_ID=\n symmetricom)\n",
"<assignment token>\nsymmetricom.setRevisions(('2018-08-23 08:22',))\nif mibBuilder.loadTexts:\n symmetricom.setLastUpdated('201808230822Z')\nif mibBuilder.loadTexts:\n symmetricom.setOrganization('Symmetricom, Inc.')\n\n\nclass EnableValue(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('enable', 1), ('disable', 2))\n\n\nclass TP5000MODULEID(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n 15))\n namedValues = NamedValues(('sys', 1), ('imc', 2), ('ioc1', 3), ('ioc2',\n 4), ('io', 5), ('exp0', 6), ('exp1', 7), ('exp2', 8), ('exp3', 9),\n ('exp4', 10), ('exp5', 11), ('exp6', 12), ('exp7', 13), ('exp8', 14\n ), ('exp9', 15))\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\nif mibBuilder.loadTexts:\n symmNetworkManagement.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmCmipManagement.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmSnmpManagement.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmTimePictra.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmBroadband.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmTTM.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmTSD.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmCommonModelV1.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmPacketService.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmPhysicalSignal.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmClock.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmNetwork.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmEntPhysicalExtension.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmInterfaceExtension.setStatus('current')\n<assignment token>\nif mibBuilder.loadTexts:\n symmDeviceDependent.setStatus('current')\nmibBuilder.exportSymbols('SYMM-COMMON-SMI', ONVALUETYPE=ONVALUETYPE,\n EnableValue=EnableValue, GNSSPositionMode=GNSSPositionMode,\n symmPhysicalSignal=symmPhysicalSignal, symmTTM=symmTTM, ACTIVEVALUETYPE\n =ACTIVEVALUETYPE, symmetricom=symmetricom, symmCommonModelV1=\n symmCommonModelV1, YESVALUETYPE=YESVALUETYPE, symmNetworkManagement=\n symmNetworkManagement, symmInterfaceExtension=symmInterfaceExtension,\n symmBroadband=symmBroadband, GNSSReceiverMode=GNSSReceiverMode,\n symmNetwork=symmNetwork, symmCmipManagement=symmCmipManagement,\n symmEntPhysicalExtension=symmEntPhysicalExtension, symmSnmpManagement=\n symmSnmpManagement, symmTimePictra=symmTimePictra, symmClock=symmClock,\n OPMODETYPE=OPMODETYPE, symmDeviceDependent=symmDeviceDependent,\n symmPacketService=symmPacketService, GNSSHealthStatus=GNSSHealthStatus,\n OKVALUETYPE=OKVALUETYPE, symmTSD=symmTSD, VALIDTYPE=VALIDTYPE,\n TP5000MODULEID=TP5000MODULEID, ACTIONONLY=ACTIONONLY, PYSNMP_MODULE_ID=\n symmetricom)\n",
"<assignment token>\n<code token>\n\n\nclass EnableValue(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('enable', 1), ('disable', 2))\n\n\nclass TP5000MODULEID(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n 15))\n namedValues = NamedValues(('sys', 1), ('imc', 2), ('ioc1', 3), ('ioc2',\n 4), ('io', 5), ('exp0', 6), ('exp1', 7), ('exp2', 8), ('exp3', 9),\n ('exp4', 10), ('exp5', 11), ('exp6', 12), ('exp7', 13), ('exp8', 14\n ), ('exp9', 15))\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n\n\nclass EnableValue(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass TP5000MODULEID(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n 15))\n namedValues = NamedValues(('sys', 1), ('imc', 2), ('ioc1', 3), ('ioc2',\n 4), ('io', 5), ('exp0', 6), ('exp1', 7), ('exp2', 8), ('exp3', 9),\n ('exp4', 10), ('exp5', 11), ('exp6', 12), ('exp7', 13), ('exp8', 14\n ), ('exp9', 15))\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n\n\nclass TP5000MODULEID(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14,\n 15))\n namedValues = NamedValues(('sys', 1), ('imc', 2), ('ioc1', 3), ('ioc2',\n 4), ('io', 5), ('exp0', 6), ('exp1', 7), ('exp2', 8), ('exp3', 9),\n ('exp4', 10), ('exp5', 11), ('exp6', 12), ('exp7', 13), ('exp8', 14\n ), ('exp9', 15))\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n\n\nclass TP5000MODULEID(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass ONVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('on', 1), ('off', 2))\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n\n\nclass ONVALUETYPE(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass ACTIONONLY(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('apply', 1), ('nonapply', 2))\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass ACTIONONLY(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass OPMODETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass OPMODETYPE(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ACTIVEVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('active', 1), ('inactive', 2))\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ACTIVEVALUETYPE(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass YESVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('yes', 1), ('no', 2))\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass YESVALUETYPE(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass OKVALUETYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('ok', 1), ('fault', 2))\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass OKVALUETYPE(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass VALIDTYPE(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 3))\n namedValues = NamedValues(('valid', 1), ('invalid', 2), ('nurture', 3))\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass VALIDTYPE(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass GNSSHealthStatus(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('healthy', 1), ('unhealthy', 2))\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass GNSSHealthStatus(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass GNSSReceiverMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2, 4, 5, 17, 18, 19, 20, 21, 22, 23, 24, \n 25, 26, 27, 28, 29, 30, 31, 128))\n namedValues = NamedValues(('beidou', 1), ('gps', 2), ('priorityBeidou',\n 4), ('priorityGps', 5), ('gnssGPS', 17), ('gnssGlonass', 18), (\n 'gnssGPSGlonass', 19), ('gnssGalileo', 20), ('gnssGPSGalileo', 21),\n ('gnssGlonassGalileo', 22), ('gnssGPSGlonassGalileo', 23), (\n 'gnssBeidou', 24), ('gnssBeidouGPS', 25), ('gnssBeidouGlonass', 26),\n ('gnssBeidouGlonassGPSReserved', 27), ('gnssBeidouGalileo', 28), (\n 'gnssBeidouGalileoGPS', 29), ('gnssBeidouGalileoGlonassReserved', \n 30), ('gnssBeidouGalileoGlonassGPSReserved', 31), ('notApplicable',\n 128))\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass GNSSReceiverMode(Integer32):\n <assignment token>\n <assignment token>\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass GNSSPositionMode(Integer32):\n subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(\n SingleValueConstraint(1, 2))\n namedValues = NamedValues(('auto', 1), ('manual', 2))\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass GNSSPositionMode(Integer32):\n <assignment token>\n <assignment token>\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<assignment token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,737 |
d2890366d81dd059db1d4686685032b1341b40e9
|
def maximumToys(prices, k):
new_list = []
count = 0
for index in range(0, len(prices)):
if k > prices[index] in prices:
new_list.append(prices[index])
if sum(new_list) > k:
for elements in range(0, len(new_list) - 1):
count += 1
print(count)
else:
count += 1
print(count)
if __name__ == '__main__':
nk = input().split()
n = int(nk[0])
k = int(nk[1])
prices = list(map(int, input().rstrip().split()))
result = maximumToys(prices, k)
|
[
"def maximumToys(prices, k):\n new_list = []\n count = 0\n for index in range(0, len(prices)):\n if k > prices[index] in prices:\n new_list.append(prices[index])\n if sum(new_list) > k:\n for elements in range(0, len(new_list) - 1):\n count += 1\n print(count)\n else:\n count += 1\n print(count)\n\n\nif __name__ == '__main__':\n nk = input().split()\n\n n = int(nk[0])\n\n k = int(nk[1])\n\n prices = list(map(int, input().rstrip().split()))\n\n result = maximumToys(prices, k)\n",
"def maximumToys(prices, k):\n new_list = []\n count = 0\n for index in range(0, len(prices)):\n if k > prices[index] in prices:\n new_list.append(prices[index])\n if sum(new_list) > k:\n for elements in range(0, len(new_list) - 1):\n count += 1\n print(count)\n else:\n count += 1\n print(count)\n\n\nif __name__ == '__main__':\n nk = input().split()\n n = int(nk[0])\n k = int(nk[1])\n prices = list(map(int, input().rstrip().split()))\n result = maximumToys(prices, k)\n",
"def maximumToys(prices, k):\n new_list = []\n count = 0\n for index in range(0, len(prices)):\n if k > prices[index] in prices:\n new_list.append(prices[index])\n if sum(new_list) > k:\n for elements in range(0, len(new_list) - 1):\n count += 1\n print(count)\n else:\n count += 1\n print(count)\n\n\n<code token>\n",
"<function token>\n<code token>\n"
] | false |
98,738 |
0650005a61fb55c495f9411f6547c40b4afbdf99
|
# -*- coding: utf-8 -*-
# Copyright © 2014, German Neuroinformatics Node (G-Node)
#
# All rights reserved.
#
# Redistribution and use in section and binary forms, with or without
# modification, are permitted under the terms of the BSD License. See
# LICENSE file in the root of the Project.
import os
import unittest
import numpy as np
import nixio as nix
from .tmp import TempDir
class TestTags(unittest.TestCase):
def setUp(self):
self.tmpdir = TempDir("tagtest")
self.testfilename = os.path.join(self.tmpdir.path, "tagtest.nix")
self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)
self.block = self.file.create_block("test block", "recordingsession")
self.my_array = self.block.create_data_array("my array", "test",
nix.DataType.Int16, (1, ))
self.my_tag = self.block.create_tag(
"my tag", "tag", [0]
)
self.my_tag.references.append(self.my_array)
self.your_array = self.block.create_data_array(
"your array", "test", nix.DataType.Int16, (1, )
)
self.your_tag = self.block.create_tag(
"your tag", "tag", [0]
)
self.your_tag.references.append(self.your_array)
def tearDown(self):
del self.file.blocks[self.block.id]
self.file.close()
self.tmpdir.cleanup()
def test_tag_eq(self):
assert(self.my_tag == self.my_tag)
assert(not self.my_tag == self.your_tag)
assert(self.my_tag is not None)
def test_tag_id(self):
assert(self.my_tag.id is not None)
def test_tag_name(self):
assert(self.my_tag.name is not None)
def test_tag_type(self):
def set_none():
self.my_tag.type = None
assert(self.my_tag.type is not None)
self.assertRaises(Exception, set_none)
self.my_tag.type = "foo type"
assert(self.my_tag.type == "foo type")
def test_tag_definition(self):
assert(self.my_tag.definition is None)
self.my_tag.definition = "definition"
assert(self.my_tag.definition == "definition")
self.my_tag.definition = None
assert(self.my_tag.definition is None)
def test_tag_timestamps(self):
created_at = self.my_tag.created_at
assert(created_at > 0)
updated_at = self.my_tag.updated_at
assert(updated_at > 0)
self.my_tag.force_created_at(1403530068)
assert(self.my_tag.created_at == 1403530068)
def test_tag_units(self):
assert(self.my_tag.units == ())
self.my_tag.units = ["mV", "ms"]
assert(self.my_tag.units == ("mV", "ms"))
self.my_tag.units = []
assert(self.my_tag.units == ())
def test_tag_position(self):
assert(self.my_tag.position == (0, ))
self.my_tag.position = (1.0, 2.0, 3.0)
assert(self.my_tag.position == (1.0, 2.0, 3.0))
def test_tag_extent(self):
assert(self.my_tag.extent == ())
self.my_tag.extent = (1.0, 2.0, 3.0)
assert(self.my_tag.extent == (1.0, 2.0, 3.0))
self.my_tag.extent = []
assert(self.my_tag.extent == ())
def test_tag_references(self):
assert(len(self.my_tag.references) == 1)
self.assertRaises(TypeError,
lambda _: self.my_tag.references.append(100))
reference1 = self.block.create_data_array("reference1", "stimuli",
nix.DataType.Int16, (1, ))
reference2 = self.block.create_data_array("reference2", "stimuli",
nix.DataType.Int16, (1, ))
self.my_tag.references.append(reference1)
self.my_tag.references.append(reference2)
assert(reference1.name in self.my_tag.references)
assert(len(self.my_tag.references) == 3)
assert(reference1 in self.my_tag.references)
assert(reference2 in self.my_tag.references)
# id and name access
assert(reference1 == self.my_tag.references[reference1.name])
assert(reference1 == self.my_tag.references[reference1.id])
assert(reference2 == self.my_tag.references[reference2.name])
assert(reference2 == self.my_tag.references[reference2.id])
assert(reference1.name in self.my_tag.references)
assert(reference2.name in self.my_tag.references)
assert(reference1.id in self.my_tag.references)
assert(reference2.id in self.my_tag.references)
del self.my_tag.references[reference2]
assert(self.my_array in self.my_tag.references)
assert(reference1 in self.my_tag.references)
del self.my_tag.references[reference1]
assert(len(self.my_tag.references) == 1)
def test_tag_features(self):
assert(len(self.my_tag.features) == 0)
data_array = self.block.create_data_array("feature", "stimuli",
nix.DataType.Int16, (1, ))
feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)
assert(len(self.my_tag.features) == 1)
assert(feature in self.my_tag.features)
assert(feature.id in self.my_tag.features)
assert("notexist" not in self.my_tag.features)
assert(feature.id == self.my_tag.features[0].id)
assert(feature.id == self.my_tag.features[-1].id)
# id and name access
assert(feature.id == self.my_tag.features[feature.id].id)
assert(feature.id == self.my_tag.features[data_array.id].id)
assert(feature.id == self.my_tag.features[data_array.name].id)
assert(data_array == self.my_tag.features[data_array.id].data)
assert(data_array == self.my_tag.features[data_array.name].data)
assert(data_array.id in self.my_tag.features)
assert(data_array.name in self.my_tag.features)
del self.my_tag.features[0]
assert(len(self.my_tag.features) == 0)
def test_tag_tagged_data(self):
sample_iv = 1.0
ticks = [1.2, 2.3, 3.4, 4.5, 6.7]
unit = "ms"
pos = [0.0, 2.0, 3.4]
ext = [0.0, 6.0, 2.3]
units = ["none", "ms", "ms"]
data = np.random.random((2, 10, 5))
da = self.block.create_data_array("dimtest", "test",
data=data)
setdim = da.append_set_dimension()
setdim.labels = ["Label A", "Label B"]
samdim = da.append_sampled_dimension(sample_iv)
samdim.unit = unit
randim = da.append_range_dimension(ticks)
randim.unit = unit
postag = self.block.create_tag("postag", "event", pos)
postag.references.append(da)
postag.units = units
segtag = self.block.create_tag("region", "segment", pos)
segtag.references.append(da)
segtag.extent = ext
segtag.units = units
posdata = postag.tagged_data(0)
assert(len(posdata.shape) == 3)
assert(posdata.shape == (1, 1, 1))
segdata = segtag.tagged_data(0)
assert(len(segdata.shape) == 3)
assert(segdata.shape == (1, 7, 2))
# retrieve data by id and name
posdata = postag.tagged_data(da.name)
assert(len(posdata.shape) == 3)
assert(posdata.shape == (1, 1, 1))
segdata = segtag.tagged_data(da.name)
assert(len(segdata.shape) == 3)
assert(segdata.shape == (1, 7, 2))
posdata = postag.tagged_data(da.id)
assert(len(posdata.shape) == 3)
assert(posdata.shape == (1, 1, 1))
segdata = segtag.tagged_data(da.id)
assert(len(segdata.shape) == 3)
assert(segdata.shape == (1, 7, 2))
def test_tag_feature_data(self):
number_feat = self.block.create_data_array("number feature", "test",
data=10.)
ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]
ramp_feat = self.block.create_data_array("ramp feature", "test",
data=np.asarray(ramp_data))
ramp_feat.label = "voltage"
ramp_feat.unit = "mV"
dim = ramp_feat.append_sampled_dimension(1.0)
dim.unit = "ms"
pos_tag = self.block.create_tag("feature test", "test", [5.0])
pos_tag.units = ["ms"]
pos_tag.create_feature(number_feat, nix.LinkType.Untagged)
pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)
pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)
assert(len(pos_tag.features) == 3)
data1 = pos_tag.feature_data(0)
data2 = pos_tag.feature_data(1)
data3 = pos_tag.feature_data(2)
assert(data1.size == 1)
assert(data2.size == 1)
assert(data3.size == len(ramp_data))
# make the tag pointing to a slice
pos_tag.extent = [2.0]
data1 = pos_tag.feature_data(0)
data2 = pos_tag.feature_data(1)
data3 = pos_tag.feature_data(2)
assert(data1.size == 1)
assert(data2.size == 3)
assert(data3.size == len(ramp_data))
# get by name
data1 = pos_tag.feature_data(number_feat.name)
data2 = pos_tag.feature_data(ramp_feat.name)
assert(data1.size == 1)
assert(data2.size == 3)
|
[
"# -*- coding: utf-8 -*-\n# Copyright © 2014, German Neuroinformatics Node (G-Node)\n#\n# All rights reserved.\n#\n# Redistribution and use in section and binary forms, with or without\n# modification, are permitted under the terms of the BSD License. See\n# LICENSE file in the root of the Project.\nimport os\nimport unittest\nimport numpy as np\nimport nixio as nix\nfrom .tmp import TempDir\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir(\"tagtest\")\n self.testfilename = os.path.join(self.tmpdir.path, \"tagtest.nix\")\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block(\"test block\", \"recordingsession\")\n\n self.my_array = self.block.create_data_array(\"my array\", \"test\",\n nix.DataType.Int16, (1, ))\n self.my_tag = self.block.create_tag(\n \"my tag\", \"tag\", [0]\n )\n self.my_tag.references.append(self.my_array)\n\n self.your_array = self.block.create_data_array(\n \"your array\", \"test\", nix.DataType.Int16, (1, )\n )\n self.your_tag = self.block.create_tag(\n \"your tag\", \"tag\", [0]\n )\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert(self.my_tag == self.my_tag)\n assert(not self.my_tag == self.your_tag)\n assert(self.my_tag is not None)\n\n def test_tag_id(self):\n assert(self.my_tag.id is not None)\n\n def test_tag_name(self):\n assert(self.my_tag.name is not None)\n\n def test_tag_type(self):\n def set_none():\n self.my_tag.type = None\n\n assert(self.my_tag.type is not None)\n self.assertRaises(Exception, set_none)\n\n self.my_tag.type = \"foo type\"\n assert(self.my_tag.type == \"foo type\")\n\n def test_tag_definition(self):\n assert(self.my_tag.definition is None)\n\n self.my_tag.definition = \"definition\"\n assert(self.my_tag.definition == \"definition\")\n\n self.my_tag.definition = None\n assert(self.my_tag.definition is None)\n\n def test_tag_timestamps(self):\n created_at = self.my_tag.created_at\n assert(created_at > 0)\n\n updated_at = self.my_tag.updated_at\n assert(updated_at > 0)\n\n self.my_tag.force_created_at(1403530068)\n assert(self.my_tag.created_at == 1403530068)\n\n def test_tag_units(self):\n assert(self.my_tag.units == ())\n\n self.my_tag.units = [\"mV\", \"ms\"]\n assert(self.my_tag.units == (\"mV\", \"ms\"))\n\n self.my_tag.units = []\n assert(self.my_tag.units == ())\n\n def test_tag_position(self):\n assert(self.my_tag.position == (0, ))\n\n self.my_tag.position = (1.0, 2.0, 3.0)\n assert(self.my_tag.position == (1.0, 2.0, 3.0))\n\n def test_tag_extent(self):\n assert(self.my_tag.extent == ())\n\n self.my_tag.extent = (1.0, 2.0, 3.0)\n assert(self.my_tag.extent == (1.0, 2.0, 3.0))\n\n self.my_tag.extent = []\n assert(self.my_tag.extent == ())\n\n def test_tag_references(self):\n assert(len(self.my_tag.references) == 1)\n\n self.assertRaises(TypeError,\n lambda _: self.my_tag.references.append(100))\n\n reference1 = self.block.create_data_array(\"reference1\", \"stimuli\",\n nix.DataType.Int16, (1, ))\n reference2 = self.block.create_data_array(\"reference2\", \"stimuli\",\n nix.DataType.Int16, (1, ))\n\n self.my_tag.references.append(reference1)\n self.my_tag.references.append(reference2)\n\n assert(reference1.name in self.my_tag.references)\n\n assert(len(self.my_tag.references) == 3)\n assert(reference1 in self.my_tag.references)\n assert(reference2 in self.my_tag.references)\n\n # id and name access\n assert(reference1 == self.my_tag.references[reference1.name])\n assert(reference1 == self.my_tag.references[reference1.id])\n assert(reference2 == self.my_tag.references[reference2.name])\n assert(reference2 == self.my_tag.references[reference2.id])\n\n assert(reference1.name in self.my_tag.references)\n assert(reference2.name in self.my_tag.references)\n assert(reference1.id in self.my_tag.references)\n assert(reference2.id in self.my_tag.references)\n\n del self.my_tag.references[reference2]\n assert(self.my_array in self.my_tag.references)\n assert(reference1 in self.my_tag.references)\n\n del self.my_tag.references[reference1]\n assert(len(self.my_tag.references) == 1)\n\n def test_tag_features(self):\n assert(len(self.my_tag.features) == 0)\n\n data_array = self.block.create_data_array(\"feature\", \"stimuli\",\n nix.DataType.Int16, (1, ))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n\n assert(len(self.my_tag.features) == 1)\n\n assert(feature in self.my_tag.features)\n assert(feature.id in self.my_tag.features)\n assert(\"notexist\" not in self.my_tag.features)\n\n assert(feature.id == self.my_tag.features[0].id)\n assert(feature.id == self.my_tag.features[-1].id)\n\n # id and name access\n assert(feature.id == self.my_tag.features[feature.id].id)\n assert(feature.id == self.my_tag.features[data_array.id].id)\n assert(feature.id == self.my_tag.features[data_array.name].id)\n assert(data_array == self.my_tag.features[data_array.id].data)\n assert(data_array == self.my_tag.features[data_array.name].data)\n\n assert(data_array.id in self.my_tag.features)\n assert(data_array.name in self.my_tag.features)\n\n del self.my_tag.features[0]\n\n assert(len(self.my_tag.features) == 0)\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = \"ms\"\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = [\"none\", \"ms\", \"ms\"]\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array(\"dimtest\", \"test\",\n data=data)\n setdim = da.append_set_dimension()\n setdim.labels = [\"Label A\", \"Label B\"]\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n\n postag = self.block.create_tag(\"postag\", \"event\", pos)\n postag.references.append(da)\n postag.units = units\n\n segtag = self.block.create_tag(\"region\", \"segment\", pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n\n posdata = postag.tagged_data(0)\n assert(len(posdata.shape) == 3)\n assert(posdata.shape == (1, 1, 1))\n\n segdata = segtag.tagged_data(0)\n assert(len(segdata.shape) == 3)\n assert(segdata.shape == (1, 7, 2))\n\n # retrieve data by id and name\n posdata = postag.tagged_data(da.name)\n assert(len(posdata.shape) == 3)\n assert(posdata.shape == (1, 1, 1))\n segdata = segtag.tagged_data(da.name)\n assert(len(segdata.shape) == 3)\n assert(segdata.shape == (1, 7, 2))\n\n posdata = postag.tagged_data(da.id)\n assert(len(posdata.shape) == 3)\n assert(posdata.shape == (1, 1, 1))\n segdata = segtag.tagged_data(da.id)\n assert(len(segdata.shape) == 3)\n assert(segdata.shape == (1, 7, 2))\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array(\"number feature\", \"test\",\n data=10.)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array(\"ramp feature\", \"test\",\n data=np.asarray(ramp_data))\n ramp_feat.label = \"voltage\"\n ramp_feat.unit = \"mV\"\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = \"ms\"\n\n pos_tag = self.block.create_tag(\"feature test\", \"test\", [5.0])\n pos_tag.units = [\"ms\"]\n\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert(len(pos_tag.features) == 3)\n\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n\n assert(data1.size == 1)\n assert(data2.size == 1)\n assert(data3.size == len(ramp_data))\n\n # make the tag pointing to a slice\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n\n assert(data1.size == 1)\n assert(data2.size == 3)\n assert(data3.size == len(ramp_data))\n\n # get by name\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n\n assert(data1.size == 1)\n assert(data2.size == 3)\n",
"import os\nimport unittest\nimport numpy as np\nimport nixio as nix\nfrom .tmp import TempDir\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir('tagtest')\n self.testfilename = os.path.join(self.tmpdir.path, 'tagtest.nix')\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block('test block', 'recordingsession')\n self.my_array = self.block.create_data_array('my array', 'test',\n nix.DataType.Int16, (1,))\n self.my_tag = self.block.create_tag('my tag', 'tag', [0])\n self.my_tag.references.append(self.my_array)\n self.your_array = self.block.create_data_array('your array', 'test',\n nix.DataType.Int16, (1,))\n self.your_tag = self.block.create_tag('your tag', 'tag', [0])\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n\n def test_tag_id(self):\n assert self.my_tag.id is not None\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n\n def test_tag_type(self):\n\n def set_none():\n self.my_tag.type = None\n assert self.my_tag.type is not None\n self.assertRaises(Exception, set_none)\n self.my_tag.type = 'foo type'\n assert self.my_tag.type == 'foo type'\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n\n def test_tag_timestamps(self):\n created_at = self.my_tag.created_at\n assert created_at > 0\n updated_at = self.my_tag.updated_at\n assert updated_at > 0\n self.my_tag.force_created_at(1403530068)\n assert self.my_tag.created_at == 1403530068\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n\n def test_tag_references(self):\n assert len(self.my_tag.references) == 1\n self.assertRaises(TypeError, lambda _: self.my_tag.references.\n append(100))\n reference1 = self.block.create_data_array('reference1', 'stimuli',\n nix.DataType.Int16, (1,))\n reference2 = self.block.create_data_array('reference2', 'stimuli',\n nix.DataType.Int16, (1,))\n self.my_tag.references.append(reference1)\n self.my_tag.references.append(reference2)\n assert reference1.name in self.my_tag.references\n assert len(self.my_tag.references) == 3\n assert reference1 in self.my_tag.references\n assert reference2 in self.my_tag.references\n assert reference1 == self.my_tag.references[reference1.name]\n assert reference1 == self.my_tag.references[reference1.id]\n assert reference2 == self.my_tag.references[reference2.name]\n assert reference2 == self.my_tag.references[reference2.id]\n assert reference1.name in self.my_tag.references\n assert reference2.name in self.my_tag.references\n assert reference1.id in self.my_tag.references\n assert reference2.id in self.my_tag.references\n del self.my_tag.references[reference2]\n assert self.my_array in self.my_tag.references\n assert reference1 in self.my_tag.references\n del self.my_tag.references[reference1]\n assert len(self.my_tag.references) == 1\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir('tagtest')\n self.testfilename = os.path.join(self.tmpdir.path, 'tagtest.nix')\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block('test block', 'recordingsession')\n self.my_array = self.block.create_data_array('my array', 'test',\n nix.DataType.Int16, (1,))\n self.my_tag = self.block.create_tag('my tag', 'tag', [0])\n self.my_tag.references.append(self.my_array)\n self.your_array = self.block.create_data_array('your array', 'test',\n nix.DataType.Int16, (1,))\n self.your_tag = self.block.create_tag('your tag', 'tag', [0])\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n\n def test_tag_id(self):\n assert self.my_tag.id is not None\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n\n def test_tag_type(self):\n\n def set_none():\n self.my_tag.type = None\n assert self.my_tag.type is not None\n self.assertRaises(Exception, set_none)\n self.my_tag.type = 'foo type'\n assert self.my_tag.type == 'foo type'\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n\n def test_tag_timestamps(self):\n created_at = self.my_tag.created_at\n assert created_at > 0\n updated_at = self.my_tag.updated_at\n assert updated_at > 0\n self.my_tag.force_created_at(1403530068)\n assert self.my_tag.created_at == 1403530068\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n\n def test_tag_references(self):\n assert len(self.my_tag.references) == 1\n self.assertRaises(TypeError, lambda _: self.my_tag.references.\n append(100))\n reference1 = self.block.create_data_array('reference1', 'stimuli',\n nix.DataType.Int16, (1,))\n reference2 = self.block.create_data_array('reference2', 'stimuli',\n nix.DataType.Int16, (1,))\n self.my_tag.references.append(reference1)\n self.my_tag.references.append(reference2)\n assert reference1.name in self.my_tag.references\n assert len(self.my_tag.references) == 3\n assert reference1 in self.my_tag.references\n assert reference2 in self.my_tag.references\n assert reference1 == self.my_tag.references[reference1.name]\n assert reference1 == self.my_tag.references[reference1.id]\n assert reference2 == self.my_tag.references[reference2.name]\n assert reference2 == self.my_tag.references[reference2.id]\n assert reference1.name in self.my_tag.references\n assert reference2.name in self.my_tag.references\n assert reference1.id in self.my_tag.references\n assert reference2.id in self.my_tag.references\n del self.my_tag.references[reference2]\n assert self.my_array in self.my_tag.references\n assert reference1 in self.my_tag.references\n del self.my_tag.references[reference1]\n assert len(self.my_tag.references) == 1\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir('tagtest')\n self.testfilename = os.path.join(self.tmpdir.path, 'tagtest.nix')\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block('test block', 'recordingsession')\n self.my_array = self.block.create_data_array('my array', 'test',\n nix.DataType.Int16, (1,))\n self.my_tag = self.block.create_tag('my tag', 'tag', [0])\n self.my_tag.references.append(self.my_array)\n self.your_array = self.block.create_data_array('your array', 'test',\n nix.DataType.Int16, (1,))\n self.your_tag = self.block.create_tag('your tag', 'tag', [0])\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n\n def test_tag_id(self):\n assert self.my_tag.id is not None\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n\n def test_tag_type(self):\n\n def set_none():\n self.my_tag.type = None\n assert self.my_tag.type is not None\n self.assertRaises(Exception, set_none)\n self.my_tag.type = 'foo type'\n assert self.my_tag.type == 'foo type'\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n\n def test_tag_references(self):\n assert len(self.my_tag.references) == 1\n self.assertRaises(TypeError, lambda _: self.my_tag.references.\n append(100))\n reference1 = self.block.create_data_array('reference1', 'stimuli',\n nix.DataType.Int16, (1,))\n reference2 = self.block.create_data_array('reference2', 'stimuli',\n nix.DataType.Int16, (1,))\n self.my_tag.references.append(reference1)\n self.my_tag.references.append(reference2)\n assert reference1.name in self.my_tag.references\n assert len(self.my_tag.references) == 3\n assert reference1 in self.my_tag.references\n assert reference2 in self.my_tag.references\n assert reference1 == self.my_tag.references[reference1.name]\n assert reference1 == self.my_tag.references[reference1.id]\n assert reference2 == self.my_tag.references[reference2.name]\n assert reference2 == self.my_tag.references[reference2.id]\n assert reference1.name in self.my_tag.references\n assert reference2.name in self.my_tag.references\n assert reference1.id in self.my_tag.references\n assert reference2.id in self.my_tag.references\n del self.my_tag.references[reference2]\n assert self.my_array in self.my_tag.references\n assert reference1 in self.my_tag.references\n del self.my_tag.references[reference1]\n assert len(self.my_tag.references) == 1\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir('tagtest')\n self.testfilename = os.path.join(self.tmpdir.path, 'tagtest.nix')\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block('test block', 'recordingsession')\n self.my_array = self.block.create_data_array('my array', 'test',\n nix.DataType.Int16, (1,))\n self.my_tag = self.block.create_tag('my tag', 'tag', [0])\n self.my_tag.references.append(self.my_array)\n self.your_array = self.block.create_data_array('your array', 'test',\n nix.DataType.Int16, (1,))\n self.your_tag = self.block.create_tag('your tag', 'tag', [0])\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n\n def test_tag_id(self):\n assert self.my_tag.id is not None\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n\n def test_tag_references(self):\n assert len(self.my_tag.references) == 1\n self.assertRaises(TypeError, lambda _: self.my_tag.references.\n append(100))\n reference1 = self.block.create_data_array('reference1', 'stimuli',\n nix.DataType.Int16, (1,))\n reference2 = self.block.create_data_array('reference2', 'stimuli',\n nix.DataType.Int16, (1,))\n self.my_tag.references.append(reference1)\n self.my_tag.references.append(reference2)\n assert reference1.name in self.my_tag.references\n assert len(self.my_tag.references) == 3\n assert reference1 in self.my_tag.references\n assert reference2 in self.my_tag.references\n assert reference1 == self.my_tag.references[reference1.name]\n assert reference1 == self.my_tag.references[reference1.id]\n assert reference2 == self.my_tag.references[reference2.name]\n assert reference2 == self.my_tag.references[reference2.id]\n assert reference1.name in self.my_tag.references\n assert reference2.name in self.my_tag.references\n assert reference1.id in self.my_tag.references\n assert reference2.id in self.my_tag.references\n del self.my_tag.references[reference2]\n assert self.my_array in self.my_tag.references\n assert reference1 in self.my_tag.references\n del self.my_tag.references[reference1]\n assert len(self.my_tag.references) == 1\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir('tagtest')\n self.testfilename = os.path.join(self.tmpdir.path, 'tagtest.nix')\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block('test block', 'recordingsession')\n self.my_array = self.block.create_data_array('my array', 'test',\n nix.DataType.Int16, (1,))\n self.my_tag = self.block.create_tag('my tag', 'tag', [0])\n self.my_tag.references.append(self.my_array)\n self.your_array = self.block.create_data_array('your array', 'test',\n nix.DataType.Int16, (1,))\n self.your_tag = self.block.create_tag('your tag', 'tag', [0])\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n\n def test_tag_id(self):\n assert self.my_tag.id is not None\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n\n def setUp(self):\n self.tmpdir = TempDir('tagtest')\n self.testfilename = os.path.join(self.tmpdir.path, 'tagtest.nix')\n self.file = nix.File.open(self.testfilename, nix.FileMode.Overwrite)\n self.block = self.file.create_block('test block', 'recordingsession')\n self.my_array = self.block.create_data_array('my array', 'test',\n nix.DataType.Int16, (1,))\n self.my_tag = self.block.create_tag('my tag', 'tag', [0])\n self.my_tag.references.append(self.my_array)\n self.your_array = self.block.create_data_array('your array', 'test',\n nix.DataType.Int16, (1,))\n self.your_tag = self.block.create_tag('your tag', 'tag', [0])\n self.your_tag.references.append(self.your_array)\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n <function token>\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n\n def test_tag_eq(self):\n assert self.my_tag == self.my_tag\n assert not self.my_tag == self.your_tag\n assert self.my_tag is not None\n <function token>\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n <function token>\n <function token>\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n\n def test_tag_units(self):\n assert self.my_tag.units == ()\n self.my_tag.units = ['mV', 'ms']\n assert self.my_tag.units == ('mV', 'ms')\n self.my_tag.units = []\n assert self.my_tag.units == ()\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n\n def tearDown(self):\n del self.file.blocks[self.block.id]\n self.file.close()\n self.tmpdir.cleanup()\n <function token>\n <function token>\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_name(self):\n assert self.my_tag.name is not None\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n\n def test_tag_extent(self):\n assert self.my_tag.extent == ()\n self.my_tag.extent = 1.0, 2.0, 3.0\n assert self.my_tag.extent == (1.0, 2.0, 3.0)\n self.my_tag.extent = []\n assert self.my_tag.extent == ()\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n <function token>\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n\n def test_tag_tagged_data(self):\n sample_iv = 1.0\n ticks = [1.2, 2.3, 3.4, 4.5, 6.7]\n unit = 'ms'\n pos = [0.0, 2.0, 3.4]\n ext = [0.0, 6.0, 2.3]\n units = ['none', 'ms', 'ms']\n data = np.random.random((2, 10, 5))\n da = self.block.create_data_array('dimtest', 'test', data=data)\n setdim = da.append_set_dimension()\n setdim.labels = ['Label A', 'Label B']\n samdim = da.append_sampled_dimension(sample_iv)\n samdim.unit = unit\n randim = da.append_range_dimension(ticks)\n randim.unit = unit\n postag = self.block.create_tag('postag', 'event', pos)\n postag.references.append(da)\n postag.units = units\n segtag = self.block.create_tag('region', 'segment', pos)\n segtag.references.append(da)\n segtag.extent = ext\n segtag.units = units\n posdata = postag.tagged_data(0)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(0)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.name)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.name)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n posdata = postag.tagged_data(da.id)\n assert len(posdata.shape) == 3\n assert posdata.shape == (1, 1, 1)\n segdata = segtag.tagged_data(da.id)\n assert len(segdata.shape) == 3\n assert segdata.shape == (1, 7, 2)\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n <function token>\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n <function token>\n\n def test_tag_feature_data(self):\n number_feat = self.block.create_data_array('number feature', 'test',\n data=10.0)\n ramp_data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0]\n ramp_feat = self.block.create_data_array('ramp feature', 'test',\n data=np.asarray(ramp_data))\n ramp_feat.label = 'voltage'\n ramp_feat.unit = 'mV'\n dim = ramp_feat.append_sampled_dimension(1.0)\n dim.unit = 'ms'\n pos_tag = self.block.create_tag('feature test', 'test', [5.0])\n pos_tag.units = ['ms']\n pos_tag.create_feature(number_feat, nix.LinkType.Untagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Tagged)\n pos_tag.create_feature(ramp_feat, nix.LinkType.Untagged)\n assert len(pos_tag.features) == 3\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 1\n assert data3.size == len(ramp_data)\n pos_tag.extent = [2.0]\n data1 = pos_tag.feature_data(0)\n data2 = pos_tag.feature_data(1)\n data3 = pos_tag.feature_data(2)\n assert data1.size == 1\n assert data2.size == 3\n assert data3.size == len(ramp_data)\n data1 = pos_tag.feature_data(number_feat.name)\n data2 = pos_tag.feature_data(ramp_feat.name)\n assert data1.size == 1\n assert data2.size == 3\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n <function token>\n <function token>\n\n def test_tag_features(self):\n assert len(self.my_tag.features) == 0\n data_array = self.block.create_data_array('feature', 'stimuli', nix\n .DataType.Int16, (1,))\n feature = self.my_tag.create_feature(data_array, nix.LinkType.Untagged)\n assert len(self.my_tag.features) == 1\n assert feature in self.my_tag.features\n assert feature.id in self.my_tag.features\n assert 'notexist' not in self.my_tag.features\n assert feature.id == self.my_tag.features[0].id\n assert feature.id == self.my_tag.features[-1].id\n assert feature.id == self.my_tag.features[feature.id].id\n assert feature.id == self.my_tag.features[data_array.id].id\n assert feature.id == self.my_tag.features[data_array.name].id\n assert data_array == self.my_tag.features[data_array.id].data\n assert data_array == self.my_tag.features[data_array.name].data\n assert data_array.id in self.my_tag.features\n assert data_array.name in self.my_tag.features\n del self.my_tag.features[0]\n assert len(self.my_tag.features) == 0\n <function token>\n <function token>\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_definition(self):\n assert self.my_tag.definition is None\n self.my_tag.definition = 'definition'\n assert self.my_tag.definition == 'definition'\n self.my_tag.definition = None\n assert self.my_tag.definition is None\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def test_tag_position(self):\n assert self.my_tag.position == (0,)\n self.my_tag.position = 1.0, 2.0, 3.0\n assert self.my_tag.position == (1.0, 2.0, 3.0)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n\n\nclass TestTags(unittest.TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,739 |
3bc0ba1994df3bf8f30abff9b824c33f43f7c88e
|
# -*- coding: utf-8 -*-
#
# Copyright (C) 2019 CERN.
#
# inspirehep is free software; you can redistribute it and/or modify it under
# the terms of the MIT License; see LICENSE file for more details.
from inspire_dojson.utils import get_recid_from_ref, strip_empty_values
from inspire_utils.helpers import force_list
from inspire_utils.record import get_value, get_values_for_schema
from marshmallow import Schema, fields, missing, post_dump, pre_dump
from inspirehep.records.marshmallow.fields import ListWithLimit, NestedField
from .author import AuthorSchemaV1
from .collaboration import CollaborationSchemaV1
from .collaboration_with_suffix import CollaborationWithSuffixSchemaV1
from .publication_info_item import PublicationInfoItemSchemaV1
class ReferenceItemSchemaV1(Schema):
authors = ListWithLimit(
NestedField(AuthorSchemaV1, dump_only=True, default=[]), limit=10
)
collaborations = fields.List(
fields.Nested(CollaborationSchemaV1, dump_only=True), attribute="collaborations"
)
collaborations_with_suffix = fields.List(
fields.Nested(CollaborationWithSuffixSchemaV1, dump_only=True),
attribute="collaborations",
)
control_number = fields.Raw()
label = fields.Raw()
urls = fields.Raw()
publication_info = fields.List(
NestedField(PublicationInfoItemSchemaV1, dump_only=True)
)
titles = fields.Method("get_titles")
misc = fields.Method("get_misc")
arxiv_eprint = fields.Method("get_arxiv_eprints")
dois = fields.Method("get_dois")
@pre_dump(pass_many=True)
def resolve_and_flatten(self, data, many):
reference_records = self.get_resolved_references_by_control_number(data)
if not many:
return self.get_reference_data(data, reference_records)
references = []
for reference in data:
reference_data = self.get_reference_data(reference, reference_records)
references.append(reference_data)
return references
@pre_dump
def force_each_collaboration_to_be_object(self, data):
if not data.get("record"):
collaborations = get_value(data, "reference.collaborations")
if collaborations:
data["reference"]["collaborations"] = [
{"value": collaboration} for collaboration in collaborations
]
return data
def get_reference_data(self, reference, reference_records):
reference_record_id = self.get_reference_record_id(reference)
reference_record = reference_records.get(reference_record_id)
reference_data = self.get_reference_or_linked_reference_data_with_label(
reference, reference_record
)
return reference_data or {}
def get_reference_record_id(self, reference):
return get_recid_from_ref(reference.get("record"))
def get_resolved_references_by_control_number(self, data):
data = force_list(data)
from inspirehep.records.api.literature import LiteratureRecord
resolved_records = LiteratureRecord.get_es_linked_references(data)
return {record["control_number"]: record.dumps() for record in resolved_records}
def get_reference_or_linked_reference_data_with_label(
self, reference, reference_record
):
if reference_record:
reference_record.update(
{"label": get_value(reference, "reference.label", default=missing)}
)
return reference_record
return reference.get("reference")
def get_titles(self, data):
title = data.get("title")
titles = data.get("titles")
if title:
return [title]
elif titles:
return [titles[0]]
return missing
def get_dois(self, data):
doi = get_value(data, "dois[0].value") or get_value(data, "dois[0]")
if doi:
return [{"value": doi}]
return missing
def get_arxiv_eprints(self, data):
arxiv_eprint = data.get("arxiv_eprint")
arxiv_eprints = data.get("arxiv_eprints")
if arxiv_eprint:
return [{"value": arxiv_eprint}]
elif arxiv_eprints:
return [{"value": arxiv_eprints[0].get("value")}]
return missing
def get_misc(self, data):
titles = data.get("titles")
title = data.get("title")
misc = data.get("misc")
if not title and not titles and misc:
return misc[0]
return missing
@post_dump
def strip_empty(self, data):
return strip_empty_values(data)
class ReferenceItemSchemaV2(ReferenceItemSchemaV1):
raw_ref = fields.Raw()
def get_reference_data(self, reference, reference_records):
reference_data = super().get_reference_data(reference, reference_records)
raw_refs = get_values_for_schema(reference.get("raw_refs", []), "text")
if raw_refs:
reference_data["raw_ref"] = raw_refs[0]
return reference_data
|
[
"# -*- coding: utf-8 -*-\n#\n# Copyright (C) 2019 CERN.\n#\n# inspirehep is free software; you can redistribute it and/or modify it under\n# the terms of the MIT License; see LICENSE file for more details.\n\nfrom inspire_dojson.utils import get_recid_from_ref, strip_empty_values\nfrom inspire_utils.helpers import force_list\nfrom inspire_utils.record import get_value, get_values_for_schema\nfrom marshmallow import Schema, fields, missing, post_dump, pre_dump\n\nfrom inspirehep.records.marshmallow.fields import ListWithLimit, NestedField\n\nfrom .author import AuthorSchemaV1\nfrom .collaboration import CollaborationSchemaV1\nfrom .collaboration_with_suffix import CollaborationWithSuffixSchemaV1\nfrom .publication_info_item import PublicationInfoItemSchemaV1\n\n\nclass ReferenceItemSchemaV1(Schema):\n authors = ListWithLimit(\n NestedField(AuthorSchemaV1, dump_only=True, default=[]), limit=10\n )\n collaborations = fields.List(\n fields.Nested(CollaborationSchemaV1, dump_only=True), attribute=\"collaborations\"\n )\n collaborations_with_suffix = fields.List(\n fields.Nested(CollaborationWithSuffixSchemaV1, dump_only=True),\n attribute=\"collaborations\",\n )\n control_number = fields.Raw()\n label = fields.Raw()\n urls = fields.Raw()\n publication_info = fields.List(\n NestedField(PublicationInfoItemSchemaV1, dump_only=True)\n )\n titles = fields.Method(\"get_titles\")\n misc = fields.Method(\"get_misc\")\n arxiv_eprint = fields.Method(\"get_arxiv_eprints\")\n dois = fields.Method(\"get_dois\")\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data)\n\n if not many:\n return self.get_reference_data(data, reference_records)\n\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference, reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get(\"record\"):\n collaborations = get_value(data, \"reference.collaborations\")\n if collaborations:\n data[\"reference\"][\"collaborations\"] = [\n {\"value\": collaboration} for collaboration in collaborations\n ]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = self.get_reference_or_linked_reference_data_with_label(\n reference, reference_record\n )\n return reference_data or {}\n\n def get_reference_record_id(self, reference):\n return get_recid_from_ref(reference.get(\"record\"))\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n\n return {record[\"control_number\"]: record.dumps() for record in resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(\n self, reference, reference_record\n ):\n if reference_record:\n reference_record.update(\n {\"label\": get_value(reference, \"reference.label\", default=missing)}\n )\n return reference_record\n return reference.get(\"reference\")\n\n def get_titles(self, data):\n title = data.get(\"title\")\n titles = data.get(\"titles\")\n if title:\n return [title]\n elif titles:\n return [titles[0]]\n return missing\n\n def get_dois(self, data):\n doi = get_value(data, \"dois[0].value\") or get_value(data, \"dois[0]\")\n if doi:\n return [{\"value\": doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get(\"arxiv_eprint\")\n arxiv_eprints = data.get(\"arxiv_eprints\")\n if arxiv_eprint:\n return [{\"value\": arxiv_eprint}]\n elif arxiv_eprints:\n return [{\"value\": arxiv_eprints[0].get(\"value\")}]\n return missing\n\n def get_misc(self, data):\n titles = data.get(\"titles\")\n title = data.get(\"title\")\n misc = data.get(\"misc\")\n if not title and not titles and misc:\n return misc[0]\n return missing\n\n @post_dump\n def strip_empty(self, data):\n return strip_empty_values(data)\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference, reference_records)\n raw_refs = get_values_for_schema(reference.get(\"raw_refs\", []), \"text\")\n if raw_refs:\n reference_data[\"raw_ref\"] = raw_refs[0]\n return reference_data\n",
"from inspire_dojson.utils import get_recid_from_ref, strip_empty_values\nfrom inspire_utils.helpers import force_list\nfrom inspire_utils.record import get_value, get_values_for_schema\nfrom marshmallow import Schema, fields, missing, post_dump, pre_dump\nfrom inspirehep.records.marshmallow.fields import ListWithLimit, NestedField\nfrom .author import AuthorSchemaV1\nfrom .collaboration import CollaborationSchemaV1\nfrom .collaboration_with_suffix import CollaborationWithSuffixSchemaV1\nfrom .publication_info_item import PublicationInfoItemSchemaV1\n\n\nclass ReferenceItemSchemaV1(Schema):\n authors = ListWithLimit(NestedField(AuthorSchemaV1, dump_only=True,\n default=[]), limit=10)\n collaborations = fields.List(fields.Nested(CollaborationSchemaV1,\n dump_only=True), attribute='collaborations')\n collaborations_with_suffix = fields.List(fields.Nested(\n CollaborationWithSuffixSchemaV1, dump_only=True), attribute=\n 'collaborations')\n control_number = fields.Raw()\n label = fields.Raw()\n urls = fields.Raw()\n publication_info = fields.List(NestedField(PublicationInfoItemSchemaV1,\n dump_only=True))\n titles = fields.Method('get_titles')\n misc = fields.Method('get_misc')\n arxiv_eprint = fields.Method('get_arxiv_eprints')\n dois = fields.Method('get_dois')\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n\n def get_reference_record_id(self, reference):\n return get_recid_from_ref(reference.get('record'))\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(self, reference,\n reference_record):\n if reference_record:\n reference_record.update({'label': get_value(reference,\n 'reference.label', default=missing)})\n return reference_record\n return reference.get('reference')\n\n def get_titles(self, data):\n title = data.get('title')\n titles = data.get('titles')\n if title:\n return [title]\n elif titles:\n return [titles[0]]\n return missing\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n\n @post_dump\n def strip_empty(self, data):\n return strip_empty_values(data)\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n authors = ListWithLimit(NestedField(AuthorSchemaV1, dump_only=True,\n default=[]), limit=10)\n collaborations = fields.List(fields.Nested(CollaborationSchemaV1,\n dump_only=True), attribute='collaborations')\n collaborations_with_suffix = fields.List(fields.Nested(\n CollaborationWithSuffixSchemaV1, dump_only=True), attribute=\n 'collaborations')\n control_number = fields.Raw()\n label = fields.Raw()\n urls = fields.Raw()\n publication_info = fields.List(NestedField(PublicationInfoItemSchemaV1,\n dump_only=True))\n titles = fields.Method('get_titles')\n misc = fields.Method('get_misc')\n arxiv_eprint = fields.Method('get_arxiv_eprints')\n dois = fields.Method('get_dois')\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n\n def get_reference_record_id(self, reference):\n return get_recid_from_ref(reference.get('record'))\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(self, reference,\n reference_record):\n if reference_record:\n reference_record.update({'label': get_value(reference,\n 'reference.label', default=missing)})\n return reference_record\n return reference.get('reference')\n\n def get_titles(self, data):\n title = data.get('title')\n titles = data.get('titles')\n if title:\n return [title]\n elif titles:\n return [titles[0]]\n return missing\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n\n @post_dump\n def strip_empty(self, data):\n return strip_empty_values(data)\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n\n def get_reference_record_id(self, reference):\n return get_recid_from_ref(reference.get('record'))\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(self, reference,\n reference_record):\n if reference_record:\n reference_record.update({'label': get_value(reference,\n 'reference.label', default=missing)})\n return reference_record\n return reference.get('reference')\n\n def get_titles(self, data):\n title = data.get('title')\n titles = data.get('titles')\n if title:\n return [title]\n elif titles:\n return [titles[0]]\n return missing\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n\n @post_dump\n def strip_empty(self, data):\n return strip_empty_values(data)\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n\n def get_reference_record_id(self, reference):\n return get_recid_from_ref(reference.get('record'))\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(self, reference,\n reference_record):\n if reference_record:\n reference_record.update({'label': get_value(reference,\n 'reference.label', default=missing)})\n return reference_record\n return reference.get('reference')\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n\n @post_dump\n def strip_empty(self, data):\n return strip_empty_values(data)\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(self, reference,\n reference_record):\n if reference_record:\n reference_record.update({'label': get_value(reference,\n 'reference.label', default=missing)})\n return reference_record\n return reference.get('reference')\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n\n @post_dump\n def strip_empty(self, data):\n return strip_empty_values(data)\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n\n def get_reference_or_linked_reference_data_with_label(self, reference,\n reference_record):\n if reference_record:\n reference_record.update({'label': get_value(reference,\n 'reference.label', default=missing)})\n return reference_record\n return reference.get('reference')\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n\n def get_arxiv_eprints(self, data):\n arxiv_eprint = data.get('arxiv_eprint')\n arxiv_eprints = data.get('arxiv_eprints')\n if arxiv_eprint:\n return [{'value': arxiv_eprint}]\n elif arxiv_eprints:\n return [{'value': arxiv_eprints[0].get('value')}]\n return missing\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n\n def get_reference_data(self, reference, reference_records):\n reference_record_id = self.get_reference_record_id(reference)\n reference_record = reference_records.get(reference_record_id)\n reference_data = (self.\n get_reference_or_linked_reference_data_with_label(reference,\n reference_record))\n return reference_data or {}\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n <function token>\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n @pre_dump(pass_many=True)\n def resolve_and_flatten(self, data, many):\n reference_records = self.get_resolved_references_by_control_number(data\n )\n if not many:\n return self.get_reference_data(data, reference_records)\n references = []\n for reference in data:\n reference_data = self.get_reference_data(reference,\n reference_records)\n references.append(reference_data)\n return references\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n <function token>\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n <function token>\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n @pre_dump\n def force_each_collaboration_to_be_object(self, data):\n if not data.get('record'):\n collaborations = get_value(data, 'reference.collaborations')\n if collaborations:\n data['reference']['collaborations'] = [{'value':\n collaboration} for collaboration in collaborations]\n return data\n <function token>\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n <function token>\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n <function token>\n\n def get_misc(self, data):\n titles = data.get('titles')\n title = data.get('title')\n misc = data.get('misc')\n if not title and not titles and misc:\n return misc[0]\n return missing\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_resolved_references_by_control_number(self, data):\n data = force_list(data)\n from inspirehep.records.api.literature import LiteratureRecord\n resolved_records = LiteratureRecord.get_es_linked_references(data)\n return {record['control_number']: record.dumps() for record in\n resolved_records}\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n <function token>\n <function token>\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def get_dois(self, data):\n doi = get_value(data, 'dois[0].value') or get_value(data, 'dois[0]')\n if doi:\n return [{'value': doi}]\n return missing\n <function token>\n <function token>\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n\n\nclass ReferenceItemSchemaV1(Schema):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n<class token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n raw_ref = fields.Raw()\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n<class token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n <assignment token>\n\n def get_reference_data(self, reference, reference_records):\n reference_data = super().get_reference_data(reference,\n reference_records)\n raw_refs = get_values_for_schema(reference.get('raw_refs', []), 'text')\n if raw_refs:\n reference_data['raw_ref'] = raw_refs[0]\n return reference_data\n",
"<import token>\n<class token>\n\n\nclass ReferenceItemSchemaV2(ReferenceItemSchemaV1):\n <assignment token>\n <function token>\n",
"<import token>\n<class token>\n<class token>\n"
] | false |
98,740 |
5da84186119d634ceaf79f1fc66183fd37f9d89c
|
import cv2
import numpy as np
class LaneDetector():
''' Lane Detector - performs three key functions:
1a) detects lanes in given image using sliding window algorithm
1b) detects lanes around previously found lanes
2) calculates lane curvature
3) displays lane information
Uses code from Udacity lessons
'''
def __init__(self):
self.left_fit = None
self.right_fit = None
self.leftx = None
self.rightx = None
self.car_position = None
print('(init: LaneDetector)')
def window_fit(self, img):
''' Apply polynomial fit to the given image, returning fit for left/right lanes
Called when one frame of image has previously found left_fit/right_fit.
This method attempts to find lane fits in the vicinity of previous fits
:param img -- input image with lane lines
:return left_fit, right_fit
'''
if self.left_fit is None or self.right_fit is None:
return self.sliding_window_fit(img)
# from the next frame of video (also called "binary_warped")
# It's now much easier to find line pixels!
nonzero = img.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
margin = 100
left_lane_inds = ((nonzerox > (self.left_fit[0]*(nonzeroy**2) + self.left_fit[1]*nonzeroy + self.left_fit[2] - margin)) &
(nonzerox < (self.left_fit[0]*(nonzeroy**2) + self.left_fit[1]*nonzeroy + self.left_fit[2] + margin)))
right_lane_inds = ((nonzerox > (self.right_fit[0]*(nonzeroy**2) + self.right_fit[1]*nonzeroy + self.right_fit[2] - margin)) &
(nonzerox < (self.right_fit[0]*(nonzeroy**2) + self.right_fit[1]*nonzeroy + self.right_fit[2] + margin)))
# Again, extract left and right line pixel positions
self.leftx = nonzerox[left_lane_inds]
lefty = nonzeroy[left_lane_inds]
self.rightx = nonzerox[right_lane_inds]
righty = nonzeroy[right_lane_inds]
# Fit a second order polynomial to each
self.left_fit = np.polyfit(lefty, self.leftx, 2)
self.right_fit = np.polyfit(righty, self.rightx, 2)
return self.left_fit, self.right_fit
def sliding_window_fit(self, img):
''' Apply sliding windows search to the given image to find polynomial to find lane lines
Code based largely on Udacity lessons
:param img - given image
:return left_fit, right_fit - polynomials fitting the left/right lane lines
'''
y_half = int(img.shape[0]/2)
# take histogram of bottom half of img
histogram = np.sum(img[y_half:, :], axis=0)
# Create an output image to draw on and visualize the result
out_img = np.dstack((img, img, img))*255
# Find the peak of the left and right halves of the histogram
# These will be the starting point for the left and right lines
midpoint = np.int(histogram.shape[0]/2)
leftx_base = np.argmax(histogram[:midpoint])
rightx_base = np.argmax(histogram[midpoint:]) + midpoint
# Choose the number of sliding windows
nwindows = 9
# Set height of windows
window_height = np.int(img.shape[0]/nwindows)
# Identify the x and y positions of all nonzero pixels in the image
nonzero = img.nonzero()
nonzeroy = np.array(nonzero[0])
nonzerox = np.array(nonzero[1])
# Current positions to be updated for each window
leftx_current = leftx_base
rightx_current = rightx_base
# Set the width of the windows +/- margin
margin = 100
# Set minimum number of pixels found to recenter window
minpix = 50
# Create empty lists to receive left and right lane pixel indices
left_lane_inds = []
right_lane_inds = []
for window in range(nwindows):
# Identify window boundaries in x and y (and right and left)
win_y_low = img.shape[0] - (window+1) * window_height
win_y_high = img.shape[0] - window * window_height
win_xleft_low = leftx_current - margin
win_xleft_high = leftx_current + margin
win_xright_low = rightx_current - margin
win_xright_high = rightx_current + margin
# Draw the windows on the visualization image
cv2.rectangle(out_img,(win_xleft_low,win_y_low), (win_xleft_high,win_y_high), (0,255,0), 2)
cv2.rectangle(out_img,(win_xright_low,win_y_low),(win_xright_high,win_y_high),(0,255,0), 2)
# Identify the nonzero pixels in x and y within the window
good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) &
(nonzerox >= win_xleft_low) & (nonzerox < win_xleft_high)).nonzero()[0]
good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) &
(nonzerox >= win_xright_low) & (nonzerox < win_xright_high)).nonzero()[0]
# Append these indices to the lists
left_lane_inds.append(good_left_inds)
right_lane_inds.append(good_right_inds)
# If you found > minpix pixels, recenter next window on their mean position
if len(good_left_inds) > minpix:
leftx_current = np.int( np.mean(nonzerox[good_left_inds]) )
if len(good_right_inds) > minpix:
rightx_current = np.int( np.mean(nonzerox[good_right_inds]) )
# Concatenate the arrays of indices
left_lane_inds = np.concatenate(left_lane_inds)
right_lane_inds = np.concatenate(right_lane_inds)
# Extract left and right line pixel positions
self.leftx = nonzerox[left_lane_inds]
lefty = nonzeroy[left_lane_inds]
righty = nonzeroy[right_lane_inds]
self.rightx = nonzerox[right_lane_inds]
# Fit a second order polynomial to each
self.left_fit = np.polyfit(lefty, self.leftx, 2)
self.right_fit = np.polyfit(righty,self.rightx, 2)
return self.left_fit, self.right_fit
def find_lane_curvature(self, img):
''' Find lane curvature for the given img
:param img - the input image
:return lane curvature
'''
# Generate some fake data to represent lane-line pixels
ploty = np.linspace(0, 719, num=720) # to cover same y-range as image
quadratic_coeff = 3e-4 # arbitrary quadratic coefficient
# For each y position generate random x position within +/-50 pix
# of the line base position in each case (x=200 for left, and x=900 for right)
leftx = np.array([200 + (y**2)*quadratic_coeff + np.random.randint(-50, high=51)
for y in ploty])
rightx = np.array([900 + (y**2)*quadratic_coeff + np.random.randint(-50, high=51)
for y in ploty])
leftx = leftx[::-1] # Reverse to match top-to-bottom in y
rightx = rightx[::-1] # Reverse to match top-to-bottom in y
# Fit a second order polynomial to pixel positions in each fake lane line
# left_fit = np.polyfit(ploty, leftx, 2)
# left_fitx = left_fit[0]*ploty**2 + left_fit[1]*ploty + left_fit[2]
# right_fit = np.polyfit(ploty, rightx, 2)
# right_fitx = right_fit[0]*ploty**2 + right_fit[1]*ploty + right_fit[2]
# Define y-value where we want radius of curvature
# I'll choose the maximum y-value, corresponding to the bottom of the image
y_eval = np.max(ploty)
# left_curverad = ((1 + (2*left_fit[0]*y_eval + left_fit[1])**2)**1.5) / np.absolute(2*left_fit[0])
# right_curverad = ((1 + (2*right_fit[0]*y_eval + right_fit[1])**2)**1.5) / np.absolute(2*right_fit[0])
# print(left_curverad, right_curverad)
# Example values: 1926.74 1908.48
# Define conversions in x and y from pixels space to meters
ym_per_pix = 30/720 # meters per pixel in y dimension
xm_per_pix = 3.7/700 # meters per pixel in x dimension
# Fit new polynomials to x,y in world space
left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)
right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)
# Calculate the new radii of curvature
left_curverad = ((1 + (2 * left_fit_cr[0] * y_eval*ym_per_pix + \
left_fit_cr[1]) ** 2) ** 1.5) / np.absolute(2 * left_fit_cr[0])
right_curverad = ((1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix + \
right_fit_cr[1]) ** 2) ** 1.5) / np.absolute(2 * right_fit_cr[0])
# Now our radius of curvature is in meters
# print(left_curverad, 'm', right_curverad, 'm')
# Example values: 632.1 m 626.2 m
lx = self.left_fit[0] * (img.shape[0] - 1)**2 + \
self.left_fit[1] * (img.shape[0] - 1) + \
self.left_fit[2]
rx = self.right_fit[0] * (img.shape[0] - 1)**2 + \
self.right_fit[1] * (img.shape[0] - 1) + \
self.right_fit[2]
# calc car's position in the lane w.r.to center
position = ((img.shape[1] / 2) - ((lx + rx)/2)) * xm_per_pix
# calc mean curvature
mean_curverad = (left_curverad + right_curverad) / 2
# save the car's position
self.car_position = position.round(2)
return mean_curverad
def draw_polygon(self, img, left_fit, right_fit, M_inverse):
''' Draw shaded polygon on the lane between left_fit and right_fit
:param img - undistorted image, on which to draw the lane polygon
:param left_fit - left lane values (x)
:param right_fit - right lane values (x)
:param M_inverse - matrix for inverse transform warping
:return - img - the modified image with polygon
'''
fity = np.linspace(0, img.shape[0] - 1, img.shape[0])
left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]
right_fitx = right_fit[0] * fity ** 2 + right_fit[1] * fity + right_fit[2]
color_warp = np.zeros_like(img).astype(np.uint8)
# Recast the x and y points into usable format for cv2.fillPoly()
pts_left = np.array( [np.transpose(np.vstack([left_fitx, fity]))] )
pts_right = np.array( [np.flipud(np.transpose(np.vstack([right_fitx, fity])))] )
pts = np.hstack((pts_left, pts_right))
pts = np.array(pts, dtype=np.int32)
# Draw the lane onto the warped blank image
cv2.fillPoly(color_warp, np.int_([pts]), (0,255, 0))
# Warp the blank back to original image space using inverse perspective matrix (Minv)
newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1], img.shape[0]))
# Combine the result with the original image
result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)
return result
def display_dashboard(self, img, lane_curve):
''' Display a dashboard on the image, with info on
Lane curve (avg)
:param img - image with lane lines
:param lane_curve - the avg lane curvature
:param position
:return modified img
'''
COLOR_LIGHTBLUE = (172,227,239)
COLOR_GOLD = (255, 215, 0)
if self.car_position > 0:
msg = '{}m right of center'.format(self.car_position)
else:
msg = '{}m left of center'.format(np.abs(self.car_position))
cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()),
(10,50), cv2.FONT_HERSHEY_SIMPLEX, 1,
color=COLOR_GOLD, thickness=2)
cv2.putText(img, 'Car is {}'.format(msg),
(10,80), cv2.FONT_HERSHEY_SIMPLEX, 1,
color=COLOR_GOLD, thickness=2)
cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)
return img
|
[
"import cv2\nimport numpy as np\n\nclass LaneDetector():\n ''' Lane Detector - performs three key functions:\n 1a) detects lanes in given image using sliding window algorithm\n 1b) detects lanes around previously found lanes\n 2) calculates lane curvature\n 3) displays lane information\n\n Uses code from Udacity lessons\n '''\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None \n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n\n def window_fit(self, img):\n ''' Apply polynomial fit to the given image, returning fit for left/right lanes\n Called when one frame of image has previously found left_fit/right_fit. \n This method attempts to find lane fits in the vicinity of previous fits\n :param img -- input image with lane lines\n :return left_fit, right_fit\n '''\n\n if self.left_fit is None or self.right_fit is None:\n return self.sliding_window_fit(img)\n \n # from the next frame of video (also called \"binary_warped\")\n # It's now much easier to find line pixels!\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n margin = 100\n left_lane_inds = ((nonzerox > (self.left_fit[0]*(nonzeroy**2) + self.left_fit[1]*nonzeroy + self.left_fit[2] - margin)) & \n (nonzerox < (self.left_fit[0]*(nonzeroy**2) + self.left_fit[1]*nonzeroy + self.left_fit[2] + margin))) \n right_lane_inds = ((nonzerox > (self.right_fit[0]*(nonzeroy**2) + self.right_fit[1]*nonzeroy + self.right_fit[2] - margin)) & \n (nonzerox < (self.right_fit[0]*(nonzeroy**2) + self.right_fit[1]*nonzeroy + self.right_fit[2] + margin))) \n\n # Again, extract left and right line pixel positions\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds] \n self.rightx = nonzerox[right_lane_inds]\n righty = nonzeroy[right_lane_inds]\n # Fit a second order polynomial to each\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n\n return self.left_fit, self.right_fit\n\n def sliding_window_fit(self, img):\n ''' Apply sliding windows search to the given image to find polynomial to find lane lines\n Code based largely on Udacity lessons\n :param img - given image\n :return left_fit, right_fit - polynomials fitting the left/right lane lines\n '''\n y_half = int(img.shape[0]/2)\n # take histogram of bottom half of img\n histogram = np.sum(img[y_half:, :], axis=0)\n # Create an output image to draw on and visualize the result\n out_img = np.dstack((img, img, img))*255\n # Find the peak of the left and right halves of the histogram\n # These will be the starting point for the left and right lines\n midpoint = np.int(histogram.shape[0]/2)\n leftx_base = np.argmax(histogram[:midpoint])\n rightx_base = np.argmax(histogram[midpoint:]) + midpoint\n\n # Choose the number of sliding windows\n nwindows = 9\n # Set height of windows\n window_height = np.int(img.shape[0]/nwindows)\n # Identify the x and y positions of all nonzero pixels in the image\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n # Current positions to be updated for each window\n leftx_current = leftx_base\n rightx_current = rightx_base\n\n # Set the width of the windows +/- margin\n margin = 100\n # Set minimum number of pixels found to recenter window\n minpix = 50\n # Create empty lists to receive left and right lane pixel indices\n left_lane_inds = []\n right_lane_inds = []\n\n for window in range(nwindows):\n # Identify window boundaries in x and y (and right and left)\n win_y_low = img.shape[0] - (window+1) * window_height\n win_y_high = img.shape[0] - window * window_height\n win_xleft_low = leftx_current - margin\n win_xleft_high = leftx_current + margin\n win_xright_low = rightx_current - margin\n win_xright_high = rightx_current + margin\n # Draw the windows on the visualization image\n cv2.rectangle(out_img,(win_xleft_low,win_y_low), (win_xleft_high,win_y_high), (0,255,0), 2) \n cv2.rectangle(out_img,(win_xright_low,win_y_low),(win_xright_high,win_y_high),(0,255,0), 2) \n # Identify the nonzero pixels in x and y within the window\n good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & \n (nonzerox >= win_xleft_low) & (nonzerox < win_xleft_high)).nonzero()[0]\n good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy < win_y_high) & \n (nonzerox >= win_xright_low) & (nonzerox < win_xright_high)).nonzero()[0]\n # Append these indices to the lists\n left_lane_inds.append(good_left_inds)\n right_lane_inds.append(good_right_inds)\n # If you found > minpix pixels, recenter next window on their mean position\n if len(good_left_inds) > minpix:\n leftx_current = np.int( np.mean(nonzerox[good_left_inds]) )\n if len(good_right_inds) > minpix: \n rightx_current = np.int( np.mean(nonzerox[good_right_inds]) )\n\n \n # Concatenate the arrays of indices\n left_lane_inds = np.concatenate(left_lane_inds)\n right_lane_inds = np.concatenate(right_lane_inds)\n\n # Extract left and right line pixel positions\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds] \n \n righty = nonzeroy[right_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n\n # Fit a second order polynomial to each\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty,self.rightx, 2)\n\n return self.left_fit, self.right_fit\n\n def find_lane_curvature(self, img):\n ''' Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n '''\n # Generate some fake data to represent lane-line pixels\n ploty = np.linspace(0, 719, num=720) # to cover same y-range as image\n quadratic_coeff = 3e-4 # arbitrary quadratic coefficient\n # For each y position generate random x position within +/-50 pix\n # of the line base position in each case (x=200 for left, and x=900 for right)\n leftx = np.array([200 + (y**2)*quadratic_coeff + np.random.randint(-50, high=51) \n for y in ploty])\n rightx = np.array([900 + (y**2)*quadratic_coeff + np.random.randint(-50, high=51) \n for y in ploty])\n\n leftx = leftx[::-1] # Reverse to match top-to-bottom in y\n rightx = rightx[::-1] # Reverse to match top-to-bottom in y\n\n\n # Fit a second order polynomial to pixel positions in each fake lane line\n # left_fit = np.polyfit(ploty, leftx, 2)\n # left_fitx = left_fit[0]*ploty**2 + left_fit[1]*ploty + left_fit[2]\n # right_fit = np.polyfit(ploty, rightx, 2)\n # right_fitx = right_fit[0]*ploty**2 + right_fit[1]*ploty + right_fit[2]\n\n # Define y-value where we want radius of curvature\n # I'll choose the maximum y-value, corresponding to the bottom of the image\n y_eval = np.max(ploty)\n # left_curverad = ((1 + (2*left_fit[0]*y_eval + left_fit[1])**2)**1.5) / np.absolute(2*left_fit[0])\n # right_curverad = ((1 + (2*right_fit[0]*y_eval + right_fit[1])**2)**1.5) / np.absolute(2*right_fit[0])\n # print(left_curverad, right_curverad)\n # Example values: 1926.74 1908.48\n\n # Define conversions in x and y from pixels space to meters\n ym_per_pix = 30/720 # meters per pixel in y dimension\n xm_per_pix = 3.7/700 # meters per pixel in x dimension\n\n # Fit new polynomials to x,y in world space\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n # Calculate the new radii of curvature\n left_curverad = ((1 + (2 * left_fit_cr[0] * y_eval*ym_per_pix + \\\n left_fit_cr[1]) ** 2) ** 1.5) / np.absolute(2 * left_fit_cr[0])\n right_curverad = ((1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix + \\\n right_fit_cr[1]) ** 2) ** 1.5) / np.absolute(2 * right_fit_cr[0])\n # Now our radius of curvature is in meters\n # print(left_curverad, 'm', right_curverad, 'm')\n # Example values: 632.1 m 626.2 m\n\n lx = self.left_fit[0] * (img.shape[0] - 1)**2 + \\\n self.left_fit[1] * (img.shape[0] - 1) + \\\n self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1)**2 + \\\n self.right_fit[1] * (img.shape[0] - 1) + \\\n self.right_fit[2]\n # calc car's position in the lane w.r.to center\n position = ((img.shape[1] / 2) - ((lx + rx)/2)) * xm_per_pix\n\n # calc mean curvature\n mean_curverad = (left_curverad + right_curverad) / 2\n # save the car's position\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n ''' Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n ''' \n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1] * fity + right_fit[2]\n\n color_warp = np.zeros_like(img).astype(np.uint8)\n\n # Recast the x and y points into usable format for cv2.fillPoly()\n pts_left = np.array( [np.transpose(np.vstack([left_fitx, fity]))] )\n pts_right = np.array( [np.flipud(np.transpose(np.vstack([right_fitx, fity])))] )\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n\n # Draw the lane onto the warped blank image\n cv2.fillPoly(color_warp, np.int_([pts]), (0,255, 0))\n\n # Warp the blank back to original image space using inverse perspective matrix (Minv)\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1], img.shape[0])) \n # Combine the result with the original image\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n\n return result\n\n def display_dashboard(self, img, lane_curve):\n ''' Display a dashboard on the image, with info on\n Lane curve (avg)\n :param img - image with lane lines\n :param lane_curve - the avg lane curvature\n :param position\n :return modified img\n '''\n COLOR_LIGHTBLUE = (172,227,239) \n COLOR_GOLD = (255, 215, 0)\n\n if self.car_position > 0:\n msg = '{}m right of center'.format(self.car_position)\n else:\n msg = '{}m left of center'.format(np.abs(self.car_position))\n\n cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()), \n (10,50), cv2.FONT_HERSHEY_SIMPLEX, 1, \n color=COLOR_GOLD, thickness=2)\n cv2.putText(img, 'Car is {}'.format(msg), \n (10,80), cv2.FONT_HERSHEY_SIMPLEX, 1,\n color=COLOR_GOLD, thickness=2)\n cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)\n return img\n\n\n\n",
"import cv2\nimport numpy as np\n\n\nclass LaneDetector:\n \"\"\" Lane Detector - performs three key functions:\n 1a) detects lanes in given image using sliding window algorithm\n 1b) detects lanes around previously found lanes\n 2) calculates lane curvature\n 3) displays lane information\n\n Uses code from Udacity lessons\n \"\"\"\n\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None\n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n\n def window_fit(self, img):\n \"\"\" Apply polynomial fit to the given image, returning fit for left/right lanes\n Called when one frame of image has previously found left_fit/right_fit. \n This method attempts to find lane fits in the vicinity of previous fits\n :param img -- input image with lane lines\n :return left_fit, right_fit\n \"\"\"\n if self.left_fit is None or self.right_fit is None:\n return self.sliding_window_fit(img)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n margin = 100\n left_lane_inds = (nonzerox > self.left_fit[0] * nonzeroy ** 2 + \n self.left_fit[1] * nonzeroy + self.left_fit[2] - margin) & (\n nonzerox < self.left_fit[0] * nonzeroy ** 2 + self.left_fit[1] *\n nonzeroy + self.left_fit[2] + margin)\n right_lane_inds = (nonzerox > self.right_fit[0] * nonzeroy ** 2 + \n self.right_fit[1] * nonzeroy + self.right_fit[2] - margin) & (\n nonzerox < self.right_fit[0] * nonzeroy ** 2 + self.right_fit[1\n ] * nonzeroy + self.right_fit[2] + margin)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n\n def sliding_window_fit(self, img):\n \"\"\" Apply sliding windows search to the given image to find polynomial to find lane lines\n Code based largely on Udacity lessons\n :param img - given image\n :return left_fit, right_fit - polynomials fitting the left/right lane lines\n \"\"\"\n y_half = int(img.shape[0] / 2)\n histogram = np.sum(img[y_half:, :], axis=0)\n out_img = np.dstack((img, img, img)) * 255\n midpoint = np.int(histogram.shape[0] / 2)\n leftx_base = np.argmax(histogram[:midpoint])\n rightx_base = np.argmax(histogram[midpoint:]) + midpoint\n nwindows = 9\n window_height = np.int(img.shape[0] / nwindows)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n leftx_current = leftx_base\n rightx_current = rightx_base\n margin = 100\n minpix = 50\n left_lane_inds = []\n right_lane_inds = []\n for window in range(nwindows):\n win_y_low = img.shape[0] - (window + 1) * window_height\n win_y_high = img.shape[0] - window * window_height\n win_xleft_low = leftx_current - margin\n win_xleft_high = leftx_current + margin\n win_xright_low = rightx_current - margin\n win_xright_high = rightx_current + margin\n cv2.rectangle(out_img, (win_xleft_low, win_y_low), (\n win_xleft_high, win_y_high), (0, 255, 0), 2)\n cv2.rectangle(out_img, (win_xright_low, win_y_low), (\n win_xright_high, win_y_high), (0, 255, 0), 2)\n good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy <\n win_y_high) & (nonzerox >= win_xleft_low) & (nonzerox <\n win_xleft_high)).nonzero()[0]\n good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy <\n win_y_high) & (nonzerox >= win_xright_low) & (nonzerox <\n win_xright_high)).nonzero()[0]\n left_lane_inds.append(good_left_inds)\n right_lane_inds.append(good_right_inds)\n if len(good_left_inds) > minpix:\n leftx_current = np.int(np.mean(nonzerox[good_left_inds]))\n if len(good_right_inds) > minpix:\n rightx_current = np.int(np.mean(nonzerox[good_right_inds]))\n left_lane_inds = np.concatenate(left_lane_inds)\n right_lane_inds = np.concatenate(right_lane_inds)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n\n def display_dashboard(self, img, lane_curve):\n \"\"\" Display a dashboard on the image, with info on\n Lane curve (avg)\n :param img - image with lane lines\n :param lane_curve - the avg lane curvature\n :param position\n :return modified img\n \"\"\"\n COLOR_LIGHTBLUE = 172, 227, 239\n COLOR_GOLD = 255, 215, 0\n if self.car_position > 0:\n msg = '{}m right of center'.format(self.car_position)\n else:\n msg = '{}m left of center'.format(np.abs(self.car_position))\n cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()\n ), (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD,\n thickness=2)\n cv2.putText(img, 'Car is {}'.format(msg), (10, 80), cv2.\n FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD, thickness=2)\n cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)\n return img\n",
"<import token>\n\n\nclass LaneDetector:\n \"\"\" Lane Detector - performs three key functions:\n 1a) detects lanes in given image using sliding window algorithm\n 1b) detects lanes around previously found lanes\n 2) calculates lane curvature\n 3) displays lane information\n\n Uses code from Udacity lessons\n \"\"\"\n\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None\n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n\n def window_fit(self, img):\n \"\"\" Apply polynomial fit to the given image, returning fit for left/right lanes\n Called when one frame of image has previously found left_fit/right_fit. \n This method attempts to find lane fits in the vicinity of previous fits\n :param img -- input image with lane lines\n :return left_fit, right_fit\n \"\"\"\n if self.left_fit is None or self.right_fit is None:\n return self.sliding_window_fit(img)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n margin = 100\n left_lane_inds = (nonzerox > self.left_fit[0] * nonzeroy ** 2 + \n self.left_fit[1] * nonzeroy + self.left_fit[2] - margin) & (\n nonzerox < self.left_fit[0] * nonzeroy ** 2 + self.left_fit[1] *\n nonzeroy + self.left_fit[2] + margin)\n right_lane_inds = (nonzerox > self.right_fit[0] * nonzeroy ** 2 + \n self.right_fit[1] * nonzeroy + self.right_fit[2] - margin) & (\n nonzerox < self.right_fit[0] * nonzeroy ** 2 + self.right_fit[1\n ] * nonzeroy + self.right_fit[2] + margin)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n\n def sliding_window_fit(self, img):\n \"\"\" Apply sliding windows search to the given image to find polynomial to find lane lines\n Code based largely on Udacity lessons\n :param img - given image\n :return left_fit, right_fit - polynomials fitting the left/right lane lines\n \"\"\"\n y_half = int(img.shape[0] / 2)\n histogram = np.sum(img[y_half:, :], axis=0)\n out_img = np.dstack((img, img, img)) * 255\n midpoint = np.int(histogram.shape[0] / 2)\n leftx_base = np.argmax(histogram[:midpoint])\n rightx_base = np.argmax(histogram[midpoint:]) + midpoint\n nwindows = 9\n window_height = np.int(img.shape[0] / nwindows)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n leftx_current = leftx_base\n rightx_current = rightx_base\n margin = 100\n minpix = 50\n left_lane_inds = []\n right_lane_inds = []\n for window in range(nwindows):\n win_y_low = img.shape[0] - (window + 1) * window_height\n win_y_high = img.shape[0] - window * window_height\n win_xleft_low = leftx_current - margin\n win_xleft_high = leftx_current + margin\n win_xright_low = rightx_current - margin\n win_xright_high = rightx_current + margin\n cv2.rectangle(out_img, (win_xleft_low, win_y_low), (\n win_xleft_high, win_y_high), (0, 255, 0), 2)\n cv2.rectangle(out_img, (win_xright_low, win_y_low), (\n win_xright_high, win_y_high), (0, 255, 0), 2)\n good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy <\n win_y_high) & (nonzerox >= win_xleft_low) & (nonzerox <\n win_xleft_high)).nonzero()[0]\n good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy <\n win_y_high) & (nonzerox >= win_xright_low) & (nonzerox <\n win_xright_high)).nonzero()[0]\n left_lane_inds.append(good_left_inds)\n right_lane_inds.append(good_right_inds)\n if len(good_left_inds) > minpix:\n leftx_current = np.int(np.mean(nonzerox[good_left_inds]))\n if len(good_right_inds) > minpix:\n rightx_current = np.int(np.mean(nonzerox[good_right_inds]))\n left_lane_inds = np.concatenate(left_lane_inds)\n right_lane_inds = np.concatenate(right_lane_inds)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n\n def display_dashboard(self, img, lane_curve):\n \"\"\" Display a dashboard on the image, with info on\n Lane curve (avg)\n :param img - image with lane lines\n :param lane_curve - the avg lane curvature\n :param position\n :return modified img\n \"\"\"\n COLOR_LIGHTBLUE = 172, 227, 239\n COLOR_GOLD = 255, 215, 0\n if self.car_position > 0:\n msg = '{}m right of center'.format(self.car_position)\n else:\n msg = '{}m left of center'.format(np.abs(self.car_position))\n cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()\n ), (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD,\n thickness=2)\n cv2.putText(img, 'Car is {}'.format(msg), (10, 80), cv2.\n FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD, thickness=2)\n cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)\n return img\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None\n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n\n def window_fit(self, img):\n \"\"\" Apply polynomial fit to the given image, returning fit for left/right lanes\n Called when one frame of image has previously found left_fit/right_fit. \n This method attempts to find lane fits in the vicinity of previous fits\n :param img -- input image with lane lines\n :return left_fit, right_fit\n \"\"\"\n if self.left_fit is None or self.right_fit is None:\n return self.sliding_window_fit(img)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n margin = 100\n left_lane_inds = (nonzerox > self.left_fit[0] * nonzeroy ** 2 + \n self.left_fit[1] * nonzeroy + self.left_fit[2] - margin) & (\n nonzerox < self.left_fit[0] * nonzeroy ** 2 + self.left_fit[1] *\n nonzeroy + self.left_fit[2] + margin)\n right_lane_inds = (nonzerox > self.right_fit[0] * nonzeroy ** 2 + \n self.right_fit[1] * nonzeroy + self.right_fit[2] - margin) & (\n nonzerox < self.right_fit[0] * nonzeroy ** 2 + self.right_fit[1\n ] * nonzeroy + self.right_fit[2] + margin)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n\n def sliding_window_fit(self, img):\n \"\"\" Apply sliding windows search to the given image to find polynomial to find lane lines\n Code based largely on Udacity lessons\n :param img - given image\n :return left_fit, right_fit - polynomials fitting the left/right lane lines\n \"\"\"\n y_half = int(img.shape[0] / 2)\n histogram = np.sum(img[y_half:, :], axis=0)\n out_img = np.dstack((img, img, img)) * 255\n midpoint = np.int(histogram.shape[0] / 2)\n leftx_base = np.argmax(histogram[:midpoint])\n rightx_base = np.argmax(histogram[midpoint:]) + midpoint\n nwindows = 9\n window_height = np.int(img.shape[0] / nwindows)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n leftx_current = leftx_base\n rightx_current = rightx_base\n margin = 100\n minpix = 50\n left_lane_inds = []\n right_lane_inds = []\n for window in range(nwindows):\n win_y_low = img.shape[0] - (window + 1) * window_height\n win_y_high = img.shape[0] - window * window_height\n win_xleft_low = leftx_current - margin\n win_xleft_high = leftx_current + margin\n win_xright_low = rightx_current - margin\n win_xright_high = rightx_current + margin\n cv2.rectangle(out_img, (win_xleft_low, win_y_low), (\n win_xleft_high, win_y_high), (0, 255, 0), 2)\n cv2.rectangle(out_img, (win_xright_low, win_y_low), (\n win_xright_high, win_y_high), (0, 255, 0), 2)\n good_left_inds = ((nonzeroy >= win_y_low) & (nonzeroy <\n win_y_high) & (nonzerox >= win_xleft_low) & (nonzerox <\n win_xleft_high)).nonzero()[0]\n good_right_inds = ((nonzeroy >= win_y_low) & (nonzeroy <\n win_y_high) & (nonzerox >= win_xright_low) & (nonzerox <\n win_xright_high)).nonzero()[0]\n left_lane_inds.append(good_left_inds)\n right_lane_inds.append(good_right_inds)\n if len(good_left_inds) > minpix:\n leftx_current = np.int(np.mean(nonzerox[good_left_inds]))\n if len(good_right_inds) > minpix:\n rightx_current = np.int(np.mean(nonzerox[good_right_inds]))\n left_lane_inds = np.concatenate(left_lane_inds)\n right_lane_inds = np.concatenate(right_lane_inds)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n\n def display_dashboard(self, img, lane_curve):\n \"\"\" Display a dashboard on the image, with info on\n Lane curve (avg)\n :param img - image with lane lines\n :param lane_curve - the avg lane curvature\n :param position\n :return modified img\n \"\"\"\n COLOR_LIGHTBLUE = 172, 227, 239\n COLOR_GOLD = 255, 215, 0\n if self.car_position > 0:\n msg = '{}m right of center'.format(self.car_position)\n else:\n msg = '{}m left of center'.format(np.abs(self.car_position))\n cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()\n ), (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD,\n thickness=2)\n cv2.putText(img, 'Car is {}'.format(msg), (10, 80), cv2.\n FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD, thickness=2)\n cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)\n return img\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None\n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n\n def window_fit(self, img):\n \"\"\" Apply polynomial fit to the given image, returning fit for left/right lanes\n Called when one frame of image has previously found left_fit/right_fit. \n This method attempts to find lane fits in the vicinity of previous fits\n :param img -- input image with lane lines\n :return left_fit, right_fit\n \"\"\"\n if self.left_fit is None or self.right_fit is None:\n return self.sliding_window_fit(img)\n nonzero = img.nonzero()\n nonzeroy = np.array(nonzero[0])\n nonzerox = np.array(nonzero[1])\n margin = 100\n left_lane_inds = (nonzerox > self.left_fit[0] * nonzeroy ** 2 + \n self.left_fit[1] * nonzeroy + self.left_fit[2] - margin) & (\n nonzerox < self.left_fit[0] * nonzeroy ** 2 + self.left_fit[1] *\n nonzeroy + self.left_fit[2] + margin)\n right_lane_inds = (nonzerox > self.right_fit[0] * nonzeroy ** 2 + \n self.right_fit[1] * nonzeroy + self.right_fit[2] - margin) & (\n nonzerox < self.right_fit[0] * nonzeroy ** 2 + self.right_fit[1\n ] * nonzeroy + self.right_fit[2] + margin)\n self.leftx = nonzerox[left_lane_inds]\n lefty = nonzeroy[left_lane_inds]\n self.rightx = nonzerox[right_lane_inds]\n righty = nonzeroy[right_lane_inds]\n self.left_fit = np.polyfit(lefty, self.leftx, 2)\n self.right_fit = np.polyfit(righty, self.rightx, 2)\n return self.left_fit, self.right_fit\n <function token>\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n\n def display_dashboard(self, img, lane_curve):\n \"\"\" Display a dashboard on the image, with info on\n Lane curve (avg)\n :param img - image with lane lines\n :param lane_curve - the avg lane curvature\n :param position\n :return modified img\n \"\"\"\n COLOR_LIGHTBLUE = 172, 227, 239\n COLOR_GOLD = 255, 215, 0\n if self.car_position > 0:\n msg = '{}m right of center'.format(self.car_position)\n else:\n msg = '{}m left of center'.format(np.abs(self.car_position))\n cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()\n ), (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD,\n thickness=2)\n cv2.putText(img, 'Car is {}'.format(msg), (10, 80), cv2.\n FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD, thickness=2)\n cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)\n return img\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None\n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n <function token>\n <function token>\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n\n def display_dashboard(self, img, lane_curve):\n \"\"\" Display a dashboard on the image, with info on\n Lane curve (avg)\n :param img - image with lane lines\n :param lane_curve - the avg lane curvature\n :param position\n :return modified img\n \"\"\"\n COLOR_LIGHTBLUE = 172, 227, 239\n COLOR_GOLD = 255, 215, 0\n if self.car_position > 0:\n msg = '{}m right of center'.format(self.car_position)\n else:\n msg = '{}m left of center'.format(np.abs(self.car_position))\n cv2.putText(img, 'Lane curve radius: {}m'.format(lane_curve.round()\n ), (10, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD,\n thickness=2)\n cv2.putText(img, 'Car is {}'.format(msg), (10, 80), cv2.\n FONT_HERSHEY_SIMPLEX, 1, color=COLOR_GOLD, thickness=2)\n cv2.rectangle(img, (5, 10), (480, 100), color=COLOR_GOLD, thickness=2)\n return img\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n\n def __init__(self):\n self.left_fit = None\n self.right_fit = None\n self.leftx = None\n self.rightx = None\n self.car_position = None\n print('(init: LaneDetector)')\n <function token>\n <function token>\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n <function token>\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n <function token>\n <function token>\n <function token>\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n\n def draw_polygon(self, img, left_fit, right_fit, M_inverse):\n \"\"\" Draw shaded polygon on the lane between left_fit and right_fit\n :param img - undistorted image, on which to draw the lane polygon\n :param left_fit - left lane values (x)\n :param right_fit - right lane values (x)\n :param M_inverse - matrix for inverse transform warping\n :return - img - the modified image with polygon\n \"\"\"\n fity = np.linspace(0, img.shape[0] - 1, img.shape[0])\n left_fitx = left_fit[0] * fity ** 2 + left_fit[1] * fity + left_fit[2]\n right_fitx = right_fit[0] * fity ** 2 + right_fit[1\n ] * fity + right_fit[2]\n color_warp = np.zeros_like(img).astype(np.uint8)\n pts_left = np.array([np.transpose(np.vstack([left_fitx, fity]))])\n pts_right = np.array([np.flipud(np.transpose(np.vstack([right_fitx,\n fity])))])\n pts = np.hstack((pts_left, pts_right))\n pts = np.array(pts, dtype=np.int32)\n cv2.fillPoly(color_warp, np.int_([pts]), (0, 255, 0))\n newwarp = cv2.warpPerspective(color_warp, M_inverse, (img.shape[1],\n img.shape[0]))\n result = cv2.addWeighted(img, 1, newwarp, 0.3, 0)\n return result\n <function token>\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n <function token>\n <function token>\n <function token>\n\n def find_lane_curvature(self, img):\n \"\"\" Find lane curvature for the given img\n :param img - the input image\n :return lane curvature\n \"\"\"\n ploty = np.linspace(0, 719, num=720)\n quadratic_coeff = 0.0003\n leftx = np.array([(200 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n rightx = np.array([(900 + y ** 2 * quadratic_coeff + np.random.\n randint(-50, high=51)) for y in ploty])\n leftx = leftx[::-1]\n rightx = rightx[::-1]\n y_eval = np.max(ploty)\n ym_per_pix = 30 / 720\n xm_per_pix = 3.7 / 700\n left_fit_cr = np.polyfit(ploty * ym_per_pix, leftx * xm_per_pix, 2)\n right_fit_cr = np.polyfit(ploty * ym_per_pix, rightx * xm_per_pix, 2)\n left_curverad = (1 + (2 * left_fit_cr[0] * y_eval * ym_per_pix +\n left_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * left_fit_cr[0])\n right_curverad = (1 + (2 * right_fit_cr[0] * y_eval * ym_per_pix +\n right_fit_cr[1]) ** 2) ** 1.5 / np.absolute(2 * right_fit_cr[0])\n lx = self.left_fit[0] * (img.shape[0] - 1) ** 2 + self.left_fit[1] * (\n img.shape[0] - 1) + self.left_fit[2]\n rx = self.right_fit[0] * (img.shape[0] - 1) ** 2 + self.right_fit[1\n ] * (img.shape[0] - 1) + self.right_fit[2]\n position = (img.shape[1] / 2 - (lx + rx) / 2) * xm_per_pix\n mean_curverad = (left_curverad + right_curverad) / 2\n self.car_position = position.round(2)\n return mean_curverad\n <function token>\n <function token>\n",
"<import token>\n\n\nclass LaneDetector:\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,741 |
2001b7805097f10164941e61005ac7a5a8e67fee
|
from cmath import sqrt
import math
T = int(input())
test = 1
while test <= T:
print("Case #" + str(test) + ": ", end="")
test += 1
mnk = input().split()
m = int(mnk[0])
n = int(mnk[1])
k = int(mnk[2])
# make m the smaller
if m > n:
tmp = n
n = m
m = tmp
if m <= 2:
print(k)
continue
if m*n - k <= 4:
print((m+n-4)*2 - m*n + k + 4)
continue
size = math.ceil(sqrt(k+4).real)
w = 0
if size > m:
w = m
else:
w = size
h = size - 1
while w*h - 4 < k:
h += 1
ans = (w+h-4)*2
# make h the smaller one
if h > w:
tmp = h
h = w
w = tmp
if (w*h - 4) - k >= 2 and m > 3:
ans -= 1
if (w-1)*h - 3 >= k:
ans = min((w+h-5)*2+1, ans)
print(ans)
|
[
"from cmath import sqrt\nimport math\n\nT = int(input())\ntest = 1\n\nwhile test <= T:\n print(\"Case #\" + str(test) + \": \", end=\"\")\n test += 1\n\n mnk = input().split()\n m = int(mnk[0])\n n = int(mnk[1])\n k = int(mnk[2])\n\n # make m the smaller\n if m > n:\n tmp = n\n n = m\n m = tmp\n\n if m <= 2:\n print(k)\n continue\n\n if m*n - k <= 4:\n print((m+n-4)*2 - m*n + k + 4)\n continue\n\n size = math.ceil(sqrt(k+4).real)\n\n w = 0\n if size > m:\n w = m\n else:\n w = size\n\n h = size - 1\n while w*h - 4 < k:\n h += 1\n\n ans = (w+h-4)*2\n\n # make h the smaller one\n if h > w:\n tmp = h\n h = w\n w = tmp\n\n if (w*h - 4) - k >= 2 and m > 3:\n ans -= 1\n\n if (w-1)*h - 3 >= k:\n ans = min((w+h-5)*2+1, ans)\n\n\n print(ans)",
"from cmath import sqrt\nimport math\nT = int(input())\ntest = 1\nwhile test <= T:\n print('Case #' + str(test) + ': ', end='')\n test += 1\n mnk = input().split()\n m = int(mnk[0])\n n = int(mnk[1])\n k = int(mnk[2])\n if m > n:\n tmp = n\n n = m\n m = tmp\n if m <= 2:\n print(k)\n continue\n if m * n - k <= 4:\n print((m + n - 4) * 2 - m * n + k + 4)\n continue\n size = math.ceil(sqrt(k + 4).real)\n w = 0\n if size > m:\n w = m\n else:\n w = size\n h = size - 1\n while w * h - 4 < k:\n h += 1\n ans = (w + h - 4) * 2\n if h > w:\n tmp = h\n h = w\n w = tmp\n if w * h - 4 - k >= 2 and m > 3:\n ans -= 1\n if (w - 1) * h - 3 >= k:\n ans = min((w + h - 5) * 2 + 1, ans)\n print(ans)\n",
"<import token>\nT = int(input())\ntest = 1\nwhile test <= T:\n print('Case #' + str(test) + ': ', end='')\n test += 1\n mnk = input().split()\n m = int(mnk[0])\n n = int(mnk[1])\n k = int(mnk[2])\n if m > n:\n tmp = n\n n = m\n m = tmp\n if m <= 2:\n print(k)\n continue\n if m * n - k <= 4:\n print((m + n - 4) * 2 - m * n + k + 4)\n continue\n size = math.ceil(sqrt(k + 4).real)\n w = 0\n if size > m:\n w = m\n else:\n w = size\n h = size - 1\n while w * h - 4 < k:\n h += 1\n ans = (w + h - 4) * 2\n if h > w:\n tmp = h\n h = w\n w = tmp\n if w * h - 4 - k >= 2 and m > 3:\n ans -= 1\n if (w - 1) * h - 3 >= k:\n ans = min((w + h - 5) * 2 + 1, ans)\n print(ans)\n",
"<import token>\n<assignment token>\nwhile test <= T:\n print('Case #' + str(test) + ': ', end='')\n test += 1\n mnk = input().split()\n m = int(mnk[0])\n n = int(mnk[1])\n k = int(mnk[2])\n if m > n:\n tmp = n\n n = m\n m = tmp\n if m <= 2:\n print(k)\n continue\n if m * n - k <= 4:\n print((m + n - 4) * 2 - m * n + k + 4)\n continue\n size = math.ceil(sqrt(k + 4).real)\n w = 0\n if size > m:\n w = m\n else:\n w = size\n h = size - 1\n while w * h - 4 < k:\n h += 1\n ans = (w + h - 4) * 2\n if h > w:\n tmp = h\n h = w\n w = tmp\n if w * h - 4 - k >= 2 and m > 3:\n ans -= 1\n if (w - 1) * h - 3 >= k:\n ans = min((w + h - 5) * 2 + 1, ans)\n print(ans)\n",
"<import token>\n<assignment token>\n<code token>\n"
] | false |
98,742 |
7350689b881633d12ba2e4beee4c6d77211c60b9
|
from django.db import models
from cms.extensions.models import PageExtension, BaseExtension
from cms.extensions.extension_pool import extension_pool
from cms.models import CMSPlugin
from filer.fields.image import FilerImageField, FilerFileField
from categories.models import Discipline, Industry
# PAGES
class WorkExtension(PageExtension):
image = FilerImageField(null=True, related_name="work_display_image")
title = models.CharField(max_length=50)
description = models.CharField(max_length=50)
disciplines = models.ManyToManyField(Discipline)
industries = models.ManyToManyField(Industry)
allow_access = models.BooleanField(default=True)
def copy_relations(self, oldinstance, language):
self.disciplines = oldinstance.disciplines.all()
self.industries = oldinstance.industries.all()
extension_pool.register(WorkExtension)
# PLUGINS
# Homepage
class CarouselPlugin(CMSPlugin):
interval = models.IntegerField(default=2000, help_text="interval between slides in milliseconds")
class CarouselItemPlugin(CMSPlugin):
background = FilerImageField(null=True, related_name="background")
# About
class LinkVideoPlugin(CMSPlugin):
title = models.CharField(max_length=25)
jump_to_index = models.CharField(max_length=10)
video = FilerFileField(related_name="link_video")
def __str__(self):
return self.jump_to_index
class LinkedSectionPlugin(CMSPlugin):
index = models.CharField(max_length=10)
def __str__(self):
return self.index
class MapPlugin(CMSPlugin):
latitude = models.FloatField()
longitude = models.FloatField()
zoom = models.IntegerField()
label = models.CharField(max_length=20)
direct_link = models.URLField(null=True, help_text="Generate this by going to Google Maps and pressing 'Share'")
height = models.CharField(default="500px", max_length=10)
def __str__(self):
return self.label
class AwardPlugin(CMSPlugin):
logo = FilerImageField(null=True, related_name="award_logo")
text = models.TextField()
def __str__(self):
return instance.text[:15]
# General
class RowPlugin(CMSPlugin):
title = models.CharField(max_length=30, default="")
ymargin = models.IntegerField(help_text="on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row")
def __str__(self):
if self.title:
return self.title
return self.css_class()
def css_class(self):
return 'row my-' + str(self.ymargin)
class ColumnPlugin(CMSPlugin):
COL_CHOICES = (
('', 'Extra Small'),
('sm-', 'Small'),
('md-', 'Medium'),
('lg-', 'Large'),
('xl-', 'Extra Large'),
)
size = models.CharField(max_length=3, choices=COL_CHOICES, default='md-', help_text="The larger the column, the more likely it will stack as screen size decreases.")
width = models.IntegerField(help_text="This creates a Bootstrap Column, full width is 12.")
def __str__(self):
return self.css_class()
def css_class(self):
return 'col-' + self.size + str(self.width)
class HRPlugin(CMSPlugin):
COLOURS = (
('thick', 'Dark and thick'),
('dark', 'Dark and thin'),
('light', 'Light')
)
css_class = models.CharField(max_length=5, choices=COLOURS, default='light')
def __str__(self):
return dict(self.COLOURS)[self.css_class]
class EmailFormPlugin(CMSPlugin):
COLOURS = (
('black', 'Black'),
('white', 'White')
)
css_class = models.CharField(max_length=5, choices=COLOURS, default='light')
def __str__(self):
return dict(self.COLOURS)[self.css_class]
# Footer
class AddressPlugin(CMSPlugin):
address = models.TextField()
phone = models.TextField()
email = models.CharField(max_length=200)
direct_link = models.URLField(null=True, help_text="Generate this by going to Google Maps and pressing 'Share'")
class SocialLinkPlugin(CMSPlugin):
# icon = FilerImageField(null=True, related_name="social_icon")
icon_class = models.CharField(max_length=20, default='fa fa-twitter')
text = models.CharField(max_length=30)
link = models.URLField()
open_new_tab = models.BooleanField(default=True)
def __str__(self):
return self.text
class SocialSharePlugin(CMSPlugin):
share_to_pinterest = models.BooleanField(default=True)
def __str__(self):
return str(self.share_to_pinterest)
|
[
"from django.db import models\n\nfrom cms.extensions.models import PageExtension, BaseExtension\nfrom cms.extensions.extension_pool import extension_pool\n\nfrom cms.models import CMSPlugin\nfrom filer.fields.image import FilerImageField, FilerFileField\n\nfrom categories.models import Discipline, Industry\n\n# PAGES\n\nclass WorkExtension(PageExtension):\n image = FilerImageField(null=True, related_name=\"work_display_image\")\n title = models.CharField(max_length=50)\n description = models.CharField(max_length=50)\n disciplines = models.ManyToManyField(Discipline)\n industries = models.ManyToManyField(Industry)\n allow_access = models.BooleanField(default=True)\n\n def copy_relations(self, oldinstance, language):\n self.disciplines = oldinstance.disciplines.all()\n self.industries = oldinstance.industries.all()\n\nextension_pool.register(WorkExtension)\n\n# PLUGINS\n# Homepage\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\"interval between slides in milliseconds\")\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name=\"background\")\n\n# About\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name=\"link_video\")\n\n def __str__(self):\n return self.jump_to_index\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default=\"500px\", max_length=10)\n\n def __str__(self):\n return self.label\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name=\"award_logo\")\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n# General\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default=\"\")\n ymargin = models.IntegerField(help_text=\"on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row\")\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = (\n ('', 'Extra Small'),\n ('sm-', 'Small'),\n ('md-', 'Medium'),\n ('lg-', 'Large'),\n ('xl-', 'Extra Large'),\n )\n size = models.CharField(max_length=3, choices=COL_CHOICES, default='md-', help_text=\"The larger the column, the more likely it will stack as screen size decreases.\")\n width = models.IntegerField(help_text=\"This creates a Bootstrap Column, full width is 12.\")\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\nclass HRPlugin(CMSPlugin):\n COLOURS = (\n ('thick', 'Dark and thick'),\n ('dark', 'Dark and thin'),\n ('light', 'Light')\n )\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light')\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = (\n ('black', 'Black'),\n ('white', 'White')\n )\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light')\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n# Footer\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\"Generate this by going to Google Maps and pressing 'Share'\")\n\nclass SocialLinkPlugin(CMSPlugin):\n # icon = FilerImageField(null=True, related_name=\"social_icon\")\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)",
"from django.db import models\nfrom cms.extensions.models import PageExtension, BaseExtension\nfrom cms.extensions.extension_pool import extension_pool\nfrom cms.models import CMSPlugin\nfrom filer.fields.image import FilerImageField, FilerFileField\nfrom categories.models import Discipline, Industry\n\n\nclass WorkExtension(PageExtension):\n image = FilerImageField(null=True, related_name='work_display_image')\n title = models.CharField(max_length=50)\n description = models.CharField(max_length=50)\n disciplines = models.ManyToManyField(Discipline)\n industries = models.ManyToManyField(Industry)\n allow_access = models.BooleanField(default=True)\n\n def copy_relations(self, oldinstance, language):\n self.disciplines = oldinstance.disciplines.all()\n self.industries = oldinstance.industries.all()\n\n\nextension_pool.register(WorkExtension)\n\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\n 'interval between slides in milliseconds')\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n\n\nclass WorkExtension(PageExtension):\n image = FilerImageField(null=True, related_name='work_display_image')\n title = models.CharField(max_length=50)\n description = models.CharField(max_length=50)\n disciplines = models.ManyToManyField(Discipline)\n industries = models.ManyToManyField(Industry)\n allow_access = models.BooleanField(default=True)\n\n def copy_relations(self, oldinstance, language):\n self.disciplines = oldinstance.disciplines.all()\n self.industries = oldinstance.industries.all()\n\n\nextension_pool.register(WorkExtension)\n\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\n 'interval between slides in milliseconds')\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n\n\nclass WorkExtension(PageExtension):\n image = FilerImageField(null=True, related_name='work_display_image')\n title = models.CharField(max_length=50)\n description = models.CharField(max_length=50)\n disciplines = models.ManyToManyField(Discipline)\n industries = models.ManyToManyField(Industry)\n allow_access = models.BooleanField(default=True)\n\n def copy_relations(self, oldinstance, language):\n self.disciplines = oldinstance.disciplines.all()\n self.industries = oldinstance.industries.all()\n\n\n<code token>\n\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\n 'interval between slides in milliseconds')\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n\n\nclass WorkExtension(PageExtension):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def copy_relations(self, oldinstance, language):\n self.disciplines = oldinstance.disciplines.all()\n self.industries = oldinstance.industries.all()\n\n\n<code token>\n\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\n 'interval between slides in milliseconds')\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n\n\nclass WorkExtension(PageExtension):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\n<code token>\n\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\n 'interval between slides in milliseconds')\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n\n\nclass CarouselPlugin(CMSPlugin):\n interval = models.IntegerField(default=2000, help_text=\n 'interval between slides in milliseconds')\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n\n\nclass CarouselPlugin(CMSPlugin):\n <assignment token>\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n\n\nclass CarouselItemPlugin(CMSPlugin):\n background = FilerImageField(null=True, related_name='background')\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n\n\nclass CarouselItemPlugin(CMSPlugin):\n <assignment token>\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n\n\nclass LinkVideoPlugin(CMSPlugin):\n title = models.CharField(max_length=25)\n jump_to_index = models.CharField(max_length=10)\n video = FilerFileField(related_name='link_video')\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n\n\nclass LinkVideoPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return self.jump_to_index\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n\n\nclass LinkVideoPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n index = models.CharField(max_length=10)\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n <assignment token>\n\n def __str__(self):\n return self.index\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n\n\nclass LinkedSectionPlugin(CMSPlugin):\n <assignment token>\n <function token>\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass MapPlugin(CMSPlugin):\n latitude = models.FloatField()\n longitude = models.FloatField()\n zoom = models.IntegerField()\n label = models.CharField(max_length=20)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n height = models.CharField(default='500px', max_length=10)\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass MapPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return self.label\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass MapPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AwardPlugin(CMSPlugin):\n logo = FilerImageField(null=True, related_name='award_logo')\n text = models.TextField()\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AwardPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return instance.text[:15]\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AwardPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RowPlugin(CMSPlugin):\n title = models.CharField(max_length=30, default='')\n ymargin = models.IntegerField(help_text=\n 'on a scale of 1 to 5, as per Bootstrap, adds margin to top and bottom of row'\n )\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RowPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n\n def css_class(self):\n return 'row my-' + str(self.ymargin)\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RowPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n\n def __str__(self):\n if self.title:\n return self.title\n return self.css_class()\n <function token>\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass RowPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ColumnPlugin(CMSPlugin):\n COL_CHOICES = ('', 'Extra Small'), ('sm-', 'Small'), ('md-', 'Medium'), (\n 'lg-', 'Large'), ('xl-', 'Extra Large')\n size = models.CharField(max_length=3, choices=COL_CHOICES, default=\n 'md-', help_text=\n 'The larger the column, the more likely it will stack as screen size decreases.'\n )\n width = models.IntegerField(help_text=\n 'This creates a Bootstrap Column, full width is 12.')\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ColumnPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return self.css_class()\n\n def css_class(self):\n return 'col-' + self.size + str(self.width)\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ColumnPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return self.css_class()\n <function token>\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass ColumnPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass HRPlugin(CMSPlugin):\n COLOURS = ('thick', 'Dark and thick'), ('dark', 'Dark and thin'), ('light',\n 'Light')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass HRPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass HRPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass EmailFormPlugin(CMSPlugin):\n COLOURS = ('black', 'Black'), ('white', 'White')\n css_class = models.CharField(max_length=5, choices=COLOURS, default='light'\n )\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass EmailFormPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return dict(self.COLOURS)[self.css_class]\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass EmailFormPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AddressPlugin(CMSPlugin):\n address = models.TextField()\n phone = models.TextField()\n email = models.CharField(max_length=200)\n direct_link = models.URLField(null=True, help_text=\n \"Generate this by going to Google Maps and pressing 'Share'\")\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass AddressPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass SocialLinkPlugin(CMSPlugin):\n icon_class = models.CharField(max_length=20, default='fa fa-twitter')\n text = models.CharField(max_length=30)\n link = models.URLField()\n open_new_tab = models.BooleanField(default=True)\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass SocialLinkPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __str__(self):\n return self.text\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass SocialLinkPlugin(CMSPlugin):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass SocialSharePlugin(CMSPlugin):\n share_to_pinterest = models.BooleanField(default=True)\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass SocialSharePlugin(CMSPlugin):\n <assignment token>\n\n def __str__(self):\n return str(self.share_to_pinterest)\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n\n\nclass SocialSharePlugin(CMSPlugin):\n <assignment token>\n <function token>\n",
"<import token>\n<class token>\n<code token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n<class token>\n"
] | false |
98,743 |
612ee3d98673a0c65bd338bb10eb8710d0352d57
|
import argparse
p=argparse.ArgumentParser()
p.add_argument('--subtype',required=False,default='mp4')
p.add_argument('--url',required=False,default='')
args=p.parse_args()
subtype=args.subtype
url=args.url
print(subtype)
print(url)
|
[
"import argparse\n\np=argparse.ArgumentParser()\np.add_argument('--subtype',required=False,default='mp4')\np.add_argument('--url',required=False,default='')\nargs=p.parse_args()\nsubtype=args.subtype\nurl=args.url\n\nprint(subtype)\nprint(url)",
"import argparse\np = argparse.ArgumentParser()\np.add_argument('--subtype', required=False, default='mp4')\np.add_argument('--url', required=False, default='')\nargs = p.parse_args()\nsubtype = args.subtype\nurl = args.url\nprint(subtype)\nprint(url)\n",
"<import token>\np = argparse.ArgumentParser()\np.add_argument('--subtype', required=False, default='mp4')\np.add_argument('--url', required=False, default='')\nargs = p.parse_args()\nsubtype = args.subtype\nurl = args.url\nprint(subtype)\nprint(url)\n",
"<import token>\n<assignment token>\np.add_argument('--subtype', required=False, default='mp4')\np.add_argument('--url', required=False, default='')\n<assignment token>\nprint(subtype)\nprint(url)\n",
"<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,744 |
419642a1c517e4fcc10b3f2174cfb38e4d473c76
|
import numpy as np
import pdb
import itertools as it
import matplotlib
import matplotlib.pyplot as plt
import matplotlib.dates as dates
from sklearn.metrics import f1_score
import pandas as pd
import os
import sys
import datetime
import glob
import re
import graphviz
import seaborn as sns
import numpy as np
from scipy.stats import norm
from sklearn.metrics import accuracy_score
from sklearn.metrics import precision_score
from sklearn.metrics import recall_score
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import f1_score
from sklearn.preprocessing import StandardScaler
from scipy import stats
import warnings
warnings.filterwarnings('ignore')
import statsmodels.api as sm
from patsy import dmatrices
from sklearn.metrics import roc_auc_score
from sklearn import tree
from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier, BaggingClassifier, GradientBoostingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.neighbors import KNeighborsClassifier
from sklearn.cross_validation import train_test_split
from sklearn import metrics
from sklearn.cross_validation import cross_val_score
import json
from sklearn.model_selection import KFold
"""
Homework 2: ML Pipeline
Looking at data regarding credit distress and trying to predict who will
have credit distress in the next two years. Below is a pipeline of various
ml tools that can be used to analyze, explore, and clean data.
author: Yuliana Zamora
Date: April 17, 2018
"""
# Reading csv data from file - must be in same directory
def load_data(csv_file,nrows=None):
return pd.read_csv(csv_file,nrows=nrows)
#converts a string that is camelCase into snake_case
#https://stackoverflow.com/questions/1175208/elegant-python-function-to-convert-camelcase-to-snake-case
def camel_case(column_name):
s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', column_name)
return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
#Give data with specific column
def histogram(data_frame):
sns.distplot(data_frame)
plt.show()
#Given specific column or row, returns statistical summary
def summary(data_frame):
return data_frame.describe()
#Creating a correlation heat map from data set where var_name is the
#variable which has the most correlation
def cor_heat(data_frame,var_name):
corrmat = data_frame.corr()
k = 12
cols = corrmat.nlargest(k, var_name)[var_name].index
cm = np.corrcoef(data_frame[cols].values.T)
sns.set(font_scale=1.25)
hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)
plt.show()
#Scatter plots of desired variables in list
def plotCorr(dataFrame, list):
sns.set()
sns.pairplot(dataFrame[list], size = 2.5)
return plt.show()
#Shows data is missing, we should delete the corresponding variable and pretend it never existed - threshold as parameter
def miss_data(data_frame):
total = data_frame.isnull().sum().sort_values(ascending=False)
percent = (data_frame.isnull().sum()/data_frame.isnull().count()).sort_values(ascending=False)
missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])
#return missing_data.head(20)
return missing_data
#Dealing with missing data
def clean_miss(data_frame):
missing_data = miss_data(data_frame)
data_frame = data_frame.drop((missing_data[missing_data['Total'] > 1]).index,1)
data_frame.isnull().sum().max() #just checking that there's no missing data missing...
return data_frame
#Univariate analysis - scaling data, prints out low range and high range
def scale(data_frame, var_scale):
data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,np.newaxis]);
low_range = data_scaled[data_scaled[:,0].argsort()][:10]
high_range= data_scaled[data_scaled[:,0].argsort()][-10:]
print('outer range (low) of the distribution:')
print(low_range)
print('\nouter range (high) of the distribution:')
print(high_range)
#Bivariate analysis
def bivariate(data_frame, var_1,var_2):
varx = var_1
vary = var_2
data = pd.concat([data_frame[varx], data_frame[vary]], axis=1)
data.plot.scatter(x=varx, y=vary, ylim=(0,100));
plt.show()
#histogram and normal probability plot
def norm_plot(data_frame,var_name):
sns.distplot(data_frame[var_name], fit=norm);
fig = plt.figure()
res = stats.probplot((data_frame)[var_name], plot=plt)
plt.show()
#Fill in empty values
def fill_empty(data_frame,var, new_var):
return data_frame[var].fillna(new_var)
#Discretize continuous variables
def descretize(data_frame, var, num):
return pd.cut(data_frame[var],num,retbins=True)
#Creating dummy variables from categorical variables
def dummy_var(data_frame, var):
return pd.get_dummies(data_frame[var])
#Creating dictionary with no repeated column items
def column_dic(data_frame):
dict = {line[:1]:line[1:].split()[0] for line in data_frame}
print (dict)
#Logistic regression = iv, independent variable, var_list - dependent variables
def logReg(data_frame, IV, var_list):
#organizing variable list to independent and dependent variables
#taking care of hyphen if first word contains it
if '-' in var_list[0]:
formula = IV + "~"+'Q("'+var_list[0]+'")'
else:
formula = IV + "~"+var_list[0]
#taking care of the rest of the potential hyphens
for i in range(1, len(var_list)):
if '-' in var_list[i]:
formula = formula + "+"+'Q("'+var_list[i]+'")'
else:
formula = formula + "+"+ var_list[i]
y, X = dmatrices(formula,data_frame, return_type="dataframe")
y = np.ravel(y)
model = LogisticRegression()
model = model.fit(X, y)
print (pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))
return model.score(X,y)
#Nearest Neighbors -
def knearest(data_frame,train, test):
#data_frame = data_frame.reshape(-1,1)
X = data_frame[train].reshape(-1,1)
Y = data_frame[test].reshape(-1,1)
X_train = X[:100]
Y_train = Y[:100]
X_validate = X[100:]
Y_validate = Y[100:]
neighbor = KNeighborsClassifier(n_neighbors = 2, weights ='uniform')
neighbor.fit(X_train, Y_train)
predicted = neighbor.predict(X_validate)
print (predicted)
def merging_data(dataframe_1,dataframe_2):
return pd.merge(dataframe_1,dataframe_2)
def merging_data2(dataframe_1,dataframe_2):
dataframe_1['fully_funded'] = 1
return dataframe_1
def get_combos(param_grid_dict):
all = sorted(param_grid_dict)
all_combos=[]
combinations = it.product(*(param_grid_dict[Name] for Name in all))
for i in combinations:
lil_combo = {}
for iter,key in enumerate(all):
lil_combo[key] = i[iter]
all_combos.append(lil_combo)
return (all_combos)
#change items into binary columns
def to_binary(df,array_col):
for i in array_col:
print(i)
#df[i] = df[i].apply(lambda x: 1 if x == 't' else (0 if x =='f' else np.nan))
df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)
return df
#analyzing results from classifiers
def get_metrics(y_pred, val_Y):
metric_results ={}
#predicting the majority class
ones = np.sum(val_Y)['SeriousDlqin2yrs']/float(len(val_Y))
zeros = 1-ones
try:
metric_results['baseline'] = max(ones, zeros)
except:
pdb.set_trace()
if ones > zeros:
metric_results['precision_base'] = precision_score(val_Y, np.ones(len(val_Y)))
metric_results['recall_base'] = recall_score(val_Y,np.ones[len(val_Y)])
else:
metric_results['precision_base'] = precision_score(val_Y, np.zeros(len(val_Y)))
metric_results['recall_base'] = recall_score(val_Y,np.zeros(len(val_Y)))
#loss = f1_score(y_pred,val_Y)
perf_metrics = [.01,.02,.05,.10,.20,.30,.50]
for i in perf_metrics:
#pdb.set_trace()
print("Recall AT \n")
print(recall_at_k(val_Y, y_pred, i))
#metric_results["precision at" + str([i])] = precision_score(val_Y, y_pred > 1 - i)
metric_results["precision at" + str([i])] = precision_at_k(val_Y, y_pred, i)
metric_results["recall at" + str([i])] = recall_score(val_Y, y_pred> 1 - i)
metric_results["F1 at" + str([i])] = f1_score(val_Y, y_pred > 1 - i)
metric_results["ROC"] = roc_auc_score(val_Y, y_pred)
prec,rec,thresh = precision_recall_curve(val_Y, y_pred)
metric_results["PREC"] = prec.tolist()
metric_results["REC"] = rec.tolist()
metric_results["THRESH"] = thresh.tolist()
#out.write(metric_results)
return (metric_results)
def recall_at_k(y_true, y_scores, k):
#y_scores_sorted, y_true_sorted = zip(*sorted(zip(y_scores, y_true), reverse=True))
y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(y_scores), np.array(y_true))
preds_at_k = generate_binary_at_k(y_scores_sorted, k)
#precision, _, _, _ = metrics.precision_recall_fscore_support(y_true, preds_at_k)
#precision = precision[1] # only interested in precision for label 1
recall = recall_score(y_true_sorted, preds_at_k)
return recall
def joint_sort_descending(l1, l2):
# l1 and l2 have to be numpy arrays
idx = np.argsort(l1)[::-1]
return l1[idx], l2[idx]
def generate_binary_at_k(y_scores, k):
cutoff_index = int(len(y_scores) * (k / 100.0))
predictions_binary = [1 if x < cutoff_index else 0 for x in range(len(y_scores))]
return predictions_binary
def precision_at_k(y_true, y_scores, k):
#y_scores_sorted, y_true_sorted = zip(*sorted(zip(y_scores, y_true), reverse=True))
y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(y_scores), np.array(y_true))
preds_at_k = generate_binary_at_k(y_scores_sorted, k)
#precision, _, _, _ = metrics.precision_recall_fscore_support(y_true, preds_at_k)
#precision = precision[1] # only interested in precision for label 1
precision = precision_score(y_true_sorted, preds_at_k)
return precision
#plotting precisison and recal graphs, input one column for y_pred in class_comp method
def plot_precision_recall(val_Y,y_pred,model_name,output_type):
#pdb.set_trace()
prec,rec,thresh = precision_recall_curve(val_Y, y_pred)
prec = prec[:-1]
recall_curve = rec[:-1]
pct_above_per_thresh = []
number_scored = len(y_pred)
for value in thresh:
num_above_thresh = len(y_pred[y_pred>=value])
pct_above_thresh = num_above_thresh / float(len(y_pred))
if pct_above_thresh <= 1:
pct_above_per_thresh.append(pct_above_thresh)
else:
raise Exception
pct_above_per_thresh = np.array(pct_above_per_thresh)
plt.clf()
fig, ax1 = plt.subplots()
ax1.plot(pct_above_per_thresh, prec, 'b')
print("PLOTTING STUFF")
print(pct_above_per_thresh)
print(prec[:-1])
ax1.set_xlabel('percent of population')
ax1.set_ylabel('precision', color='b')
ax2 = ax1.twinx()
ax2.plot(pct_above_per_thresh, recall_curve, 'r')
ax2.set_ylabel('recall', color='r')
ax1.set_ylim([0,1])
ax2.set_xlim([0,1])
name = model_name
plt.title(name)
#pdb.set_trace()
if (output_type == 'save'):
plt.savefig(name)
elif (output_type == 'show'):
plt.show()
pdb.set_trace()
else:
plt.show()
pdb.set_trace()
def temp_val(data_frame,target,features):
models_params = {
RandomForestClassifier:{'n_estimators':[100] , 'criterion':['gini','entropy'], 'max_features':['sqrt','log2'] , 'max_depth':[5,10],'n_jobs':[4], 'min_samples_leaf':[10,50,100]},
LogisticRegression: {'C':[10**-1,10**-2,10**-3],'penalty':['l1','l2']},
KNeighborsClassifier:{'n_neighbors':[5,10,25,100], 'p':[1,2,3],'n_jobs':[2]},
DecisionTreeClassifier:{'max_depth': [5,10,15],'min_samples_leaf':[2,5,10]},
GradientBoostingClassifier:{'learning_rate':[.1,.01],'n_estimators':[100] ,'max_features':['sqrt','log2'] , 'max_depth':[1,2,3]},
BaggingClassifier:{'max_samples':[.1,.25,.65], 'n_jobs':[4]},
#SVC:{'kernel':['linear','rbf'],'gamma':[10,1,.1,.01], 'C':[10,1,.1,.01], 'probability':[True]}
}
# start time of our data
#start_time = '2002-09-13'
start_time_date = data_frame['date_posted'].min()
#last date of data including labels and outcomes that we have
#end_time = '2014-05-12'
end_time_date = data_frame['date_posted'].max()
#how far out do we want to predict (let's say in months for now)
prediction_windows = [1]
#how often is this prediction being made? every day? every month? once a year?
update_window = 12
from datetime import date, datetime, timedelta
from dateutil.relativedelta import relativedelta
#start_time_date = datetime.strptime(start_time, '%Y-%m-%d')
#end_time_date = datetime.strptime(end_time, '%Y-%m-%d')
for prediction_window in prediction_windows:
print(start_time_date,end_time_date)
test_end_time = end_time_date
while (test_end_time >= start_time_date + 2 * relativedelta(months=+prediction_window)):
test_start_time = test_end_time - relativedelta(months=+prediction_window)
train_end_time = test_start_time - relativedelta(days=+1) # minus 1 day
train_start_time = train_end_time - relativedelta(months=+prediction_window)
while (train_start_time >= start_time_date ):
#pdb.set_trace()
print (train_start_time,train_end_time,test_start_time,test_end_time, prediction_window)
train_start_time -= relativedelta(months=+prediction_window)
# call function to get data
train_set, test_set = extract_train_test_sets(train_start_time, train_end_time, test_start_time, test_end_time,data_frame)
#pdb.set_trace()
class_comp(train_set,test_set,target,features,models_params)
# fit on train data
# predict on test data
test_end_time -= relativedelta(months=+update_window)
def kfold_eval(df, target, features):
models_params = {
RandomForestClassifier:{'n_estimators':[100] , 'criterion':['gini','entropy'], 'max_features':['sqrt','log2'] , 'max_depth':[5,10],'n_jobs':[4], 'min_samples_leaf':[10,50,100]},
LogisticRegression: {'C':[10**-1,10**-2,10**-3],'penalty':['l1','l2']},
KNeighborsClassifier:{'n_neighbors':[5,10,25,100], 'p':[1,2,3],'n_jobs':[2]},
DecisionTreeClassifier:{'max_depth': [5,10,15],'min_samples_leaf':[2,5,10]},
GradientBoostingClassifier:{'learning_rate':[.1,.01],'n_estimators':[100] ,'max_features':['sqrt','log2'] , 'max_depth':[1,2,3]},
BaggingClassifier:{'max_samples':[.1,.25,.65], 'n_jobs':[4]},
#SVC:{'kernel':['linear','rbf'],'gamma':[10,1,.1,.01], 'C':[10,1,.1,.01], 'probability':[True]}
}
X = df[features]
#print(X)
y = df[target]
print(y)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)
"""
kf = KFold(n_splits=2)
kf.get_n_splits(X)
#print(kf)
KFold(n_splits=2,random_state=None,shuffle=False)
for train_index, test_index in kf.split(X):
print("TRAIN:", train_index, "TEST:", test_index)
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]
"""
#knn = KNeighborsClassifier(n_neighbors=5, metric='minkowski',p=4)
"""rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)
rf.fit(X_train, y_train)
y_score = rf.predict_proba(X_test)
#y_score = rf.decision_function(X_test)
y_pred = rf.predict(X_test)
print(roc_auc_score(y_test,y_score[:,0]))
metrics_1 ={}"""
class_comp(X_train, X_test, y_train, y_test,target,features,models_params)
#print (y_pred.shape)
#print (y_test.shape)
#return
#for i in range(len(y_test)): print(y_pred)
print(accuracy_score(y_test,y_pred)) #print (set(y_pred))
#print (metrics_1)
#Splitting the data for training and testing sets
def extract_train_test_sets(train_start_time, train_end_time, test_start_time, test_end_time, df):
train_set = df[(df['date_posted'] > train_start_time) & (df['date_posted']<train_end_time)]
test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted']<test_end_time)]
return train_set, test_set
def class_comp(X_train, X_test, y_train,y_test,target,features,models_params):
out = open("out.txt","a")
"""X_train = train_set[features] #X
y_train = train_set[target] #y
#validation
X_test = test_set[features] #val_x
y_test = test_set[target] #val_y"""
metrics = {}
for m, m_param in models_params.items():
listofparam = get_combos(m_param)
print("start training for {0}".format(m))
out.write("start training for {0}\n".format(m))
for params in listofparam:
print (params)
out.write(json.dumps(params))
model = m(**params)
model.fit(X_train,y_train)
#y_pred vector of prob estimates
#val_y are true values
y_pred = model.predict_proba(X_test)
metrics[m] = get_metrics(y_pred[:,1],y_test)
print("this is valy")
print (y_test)
print("this is y_pred")
print (y_pred)
plot_precision_recall(y_test, y_pred[:,1],model,'show')
out.write("----------------------------\n")
out.write("Using %s classifier \n" % models_params)
out.write(json.dumps(metrics[m]))
|
[
"\nimport numpy as np\nimport pdb\nimport itertools as it\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as dates\nfrom sklearn.metrics import f1_score\nimport pandas as pd\nimport os\n\nimport sys\nimport datetime\nimport glob\nimport re\nimport graphviz\nimport seaborn as sns\nimport numpy as np\nfrom scipy.stats import norm\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import precision_score\nfrom sklearn.metrics import recall_score\nfrom sklearn.metrics import precision_recall_curve\nfrom sklearn.metrics import f1_score\nfrom sklearn.preprocessing import StandardScaler\nfrom scipy import stats\nimport warnings\nwarnings.filterwarnings('ignore')\nimport statsmodels.api as sm\nfrom patsy import dmatrices\nfrom sklearn.metrics import roc_auc_score\nfrom sklearn import tree\nfrom sklearn.svm import SVC\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier, BaggingClassifier, GradientBoostingClassifier\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.cross_validation import train_test_split\nfrom sklearn import metrics\nfrom sklearn.cross_validation import cross_val_score\nimport json\nfrom sklearn.model_selection import KFold\n\n\"\"\"\n Homework 2: ML Pipeline\n Looking at data regarding credit distress and trying to predict who will\n have credit distress in the next two years. Below is a pipeline of various\n ml tools that can be used to analyze, explore, and clean data.\n \n author: Yuliana Zamora\n Date: April 17, 2018\n \"\"\"\n\n# Reading csv data from file - must be in same directory\ndef load_data(csv_file,nrows=None):\n \n return pd.read_csv(csv_file,nrows=nrows)\n\n#converts a string that is camelCase into snake_case\n#https://stackoverflow.com/questions/1175208/elegant-python-function-to-convert-camelcase-to-snake-case\ndef camel_case(column_name):\n s1 = re.sub('(.)([A-Z][a-z]+)', r'\\1_\\2', column_name)\n return re.sub('([a-z0-9])([A-Z])', r'\\1_\\2', s1).lower()\n\n#Give data with specific column\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n#Given specific column or row, returns statistical summary\ndef summary(data_frame):\n return data_frame.describe()\n\n#Creating a correlation heat map from data set where var_name is the\n#variable which has the most correlation\ndef cor_heat(data_frame,var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f', annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.values)\n plt.show()\n\n#Scatter plots of desired variables in list\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size = 2.5)\n return plt.show()\n\n#Shows data is missing, we should delete the corresponding variable and pretend it never existed - threshold as parameter\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum()/data_frame.isnull().count()).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total', 'Percent'])\n #return missing_data.head(20)\n return missing_data\n\n\n#Dealing with missing data\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop((missing_data[missing_data['Total'] > 1]).index,1)\n data_frame.isnull().sum().max() #just checking that there's no missing data missing...\n return data_frame\n\n#Univariate analysis - scaling data, prints out low range and high range\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,np.newaxis]);\n low_range = data_scaled[data_scaled[:,0].argsort()][:10]\n high_range= data_scaled[data_scaled[:,0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n#Bivariate analysis\ndef bivariate(data_frame, var_1,var_2):\n varx = var_1\n vary = var_2\n data = pd.concat([data_frame[varx], data_frame[vary]], axis=1)\n data.plot.scatter(x=varx, y=vary, ylim=(0,100));\n plt.show()\n\n#histogram and normal probability plot\ndef norm_plot(data_frame,var_name):\n sns.distplot(data_frame[var_name], fit=norm);\n fig = plt.figure()\n res = stats.probplot((data_frame)[var_name], plot=plt)\n plt.show()\n\n#Fill in empty values\ndef fill_empty(data_frame,var, new_var):\n return data_frame[var].fillna(new_var)\n\n#Discretize continuous variables\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var],num,retbins=True)\n\n#Creating dummy variables from categorical variables\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n#Creating dictionary with no repeated column items\ndef column_dic(data_frame):\n dict = {line[:1]:line[1:].split()[0] for line in data_frame}\n print (dict)\n\n\n\n#Logistic regression = iv, independent variable, var_list - dependent variables\ndef logReg(data_frame, IV, var_list):\n #organizing variable list to independent and dependent variables\n #taking care of hyphen if first word contains it\n if '-' in var_list[0]:\n formula = IV + \"~\"+'Q(\"'+var_list[0]+'\")'\n else:\n formula = IV + \"~\"+var_list[0]\n #taking care of the rest of the potential hyphens\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + \"+\"+'Q(\"'+var_list[i]+'\")'\n else:\n formula = formula + \"+\"+ var_list[i]\n y, X = dmatrices(formula,data_frame, return_type=\"dataframe\")\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print (pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X,y)\n\n#Nearest Neighbors -\ndef knearest(data_frame,train, test):\n #data_frame = data_frame.reshape(-1,1)\n X = data_frame[train].reshape(-1,1)\n Y = data_frame[test].reshape(-1,1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors = 2, weights ='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print (predicted)\n\ndef merging_data(dataframe_1,dataframe_2):\n return pd.merge(dataframe_1,dataframe_2)\n\ndef merging_data2(dataframe_1,dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\ndef get_combos(param_grid_dict):\n\n all = sorted(param_grid_dict)\n all_combos=[]\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter,key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n\n return (all_combos)\n#change items into binary columns\n\ndef to_binary(df,array_col):\n for i in array_col:\n print(i)\n #df[i] = df[i].apply(lambda x: 1 if x == 't' else (0 if x =='f' else np.nan))\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\n#analyzing results from classifiers\ndef get_metrics(y_pred, val_Y):\n metric_results ={}\n #predicting the majority class\n ones = np.sum(val_Y)['SeriousDlqin2yrs']/float(len(val_Y))\n zeros = 1-ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y,np.ones[len(val_Y)])\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y,np.zeros(len(val_Y)))\n\n #loss = f1_score(y_pred,val_Y)\n perf_metrics = [.01,.02,.05,.10,.20,.30,.50]\n for i in perf_metrics:\n #pdb.set_trace()\n print(\"Recall AT \\n\")\n print(recall_at_k(val_Y, y_pred, i))\n #metric_results[\"precision at\" + str([i])] = precision_score(val_Y, y_pred > 1 - i)\n metric_results[\"precision at\" + str([i])] = precision_at_k(val_Y, y_pred, i)\n metric_results[\"recall at\" + str([i])] = recall_score(val_Y, y_pred> 1 - i)\n metric_results[\"F1 at\" + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n \n metric_results[\"ROC\"] = roc_auc_score(val_Y, y_pred)\n prec,rec,thresh = precision_recall_curve(val_Y, y_pred)\n metric_results[\"PREC\"] = prec.tolist()\n metric_results[\"REC\"] = rec.tolist()\n metric_results[\"THRESH\"] = thresh.tolist()\n #out.write(metric_results)\n return (metric_results)\n\ndef recall_at_k(y_true, y_scores, k):\n #y_scores_sorted, y_true_sorted = zip(*sorted(zip(y_scores, y_true), reverse=True))\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n #precision, _, _, _ = metrics.precision_recall_fscore_support(y_true, preds_at_k)\n #precision = precision[1] # only interested in precision for label 1\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\ndef joint_sort_descending(l1, l2):\n # l1 and l2 have to be numpy arrays\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [1 if x < cutoff_index else 0 for x in range(len(y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n #y_scores_sorted, y_true_sorted = zip(*sorted(zip(y_scores, y_true), reverse=True))\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n #precision, _, _, _ = metrics.precision_recall_fscore_support(y_true, preds_at_k)\n #precision = precision[1] # only interested in precision for label 1\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n#plotting precisison and recal graphs, input one column for y_pred in class_comp method\ndef plot_precision_recall(val_Y,y_pred,model_name,output_type):\n #pdb.set_trace()\n prec,rec,thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred>=value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n\n \n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print(\"PLOTTING STUFF\")\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0,1])\n ax2.set_xlim([0,1])\n \n name = model_name\n plt.title(name)\n #pdb.set_trace()\n if (output_type == 'save'):\n plt.savefig(name)\n elif (output_type == 'show'):\n plt.show()\n pdb.set_trace()\n else:\n \n plt.show()\n pdb.set_trace()\n\n\n\ndef temp_val(data_frame,target,features):\n \n models_params = {\n RandomForestClassifier:{'n_estimators':[100] , 'criterion':['gini','entropy'], 'max_features':['sqrt','log2'] , 'max_depth':[5,10],'n_jobs':[4], 'min_samples_leaf':[10,50,100]},\n LogisticRegression: {'C':[10**-1,10**-2,10**-3],'penalty':['l1','l2']},\n KNeighborsClassifier:{'n_neighbors':[5,10,25,100], 'p':[1,2,3],'n_jobs':[2]},\n DecisionTreeClassifier:{'max_depth': [5,10,15],'min_samples_leaf':[2,5,10]},\n GradientBoostingClassifier:{'learning_rate':[.1,.01],'n_estimators':[100] ,'max_features':['sqrt','log2'] , 'max_depth':[1,2,3]},\n BaggingClassifier:{'max_samples':[.1,.25,.65], 'n_jobs':[4]},\n #SVC:{'kernel':['linear','rbf'],'gamma':[10,1,.1,.01], 'C':[10,1,.1,.01], 'probability':[True]}\n }\n # start time of our data\n #start_time = '2002-09-13'\n start_time_date = data_frame['date_posted'].min()\n\n #last date of data including labels and outcomes that we have\n #end_time = '2014-05-12'\n end_time_date = data_frame['date_posted'].max()\n \n #how far out do we want to predict (let's say in months for now)\n prediction_windows = [1]\n\n #how often is this prediction being made? every day? every month? once a year?\n update_window = 12\n\n from datetime import date, datetime, timedelta\n from dateutil.relativedelta import relativedelta\n\n #start_time_date = datetime.strptime(start_time, '%Y-%m-%d')\n #end_time_date = datetime.strptime(end_time, '%Y-%m-%d')\n\n for prediction_window in prediction_windows:\n print(start_time_date,end_time_date)\n test_end_time = end_time_date\n while (test_end_time >= start_time_date + 2 * relativedelta(months=+prediction_window)):\n test_start_time = test_end_time - relativedelta(months=+prediction_window)\n train_end_time = test_start_time - relativedelta(days=+1) # minus 1 day\n train_start_time = train_end_time - relativedelta(months=+prediction_window)\n while (train_start_time >= start_time_date ):\n #pdb.set_trace()\n print (train_start_time,train_end_time,test_start_time,test_end_time, prediction_window)\n train_start_time -= relativedelta(months=+prediction_window)\n # call function to get data\n train_set, test_set = extract_train_test_sets(train_start_time, train_end_time, test_start_time, test_end_time,data_frame)\n #pdb.set_trace()\n class_comp(train_set,test_set,target,features,models_params)\n # fit on train data\n # predict on test data\n test_end_time -= relativedelta(months=+update_window)\n\ndef kfold_eval(df, target, features):\n models_params = {\n RandomForestClassifier:{'n_estimators':[100] , 'criterion':['gini','entropy'], 'max_features':['sqrt','log2'] , 'max_depth':[5,10],'n_jobs':[4], 'min_samples_leaf':[10,50,100]},\n LogisticRegression: {'C':[10**-1,10**-2,10**-3],'penalty':['l1','l2']},\n KNeighborsClassifier:{'n_neighbors':[5,10,25,100], 'p':[1,2,3],'n_jobs':[2]},\n DecisionTreeClassifier:{'max_depth': [5,10,15],'min_samples_leaf':[2,5,10]},\n GradientBoostingClassifier:{'learning_rate':[.1,.01],'n_estimators':[100] ,'max_features':['sqrt','log2'] , 'max_depth':[1,2,3]},\n BaggingClassifier:{'max_samples':[.1,.25,.65], 'n_jobs':[4]},\n #SVC:{'kernel':['linear','rbf'],'gamma':[10,1,.1,.01], 'C':[10,1,.1,.01], 'probability':[True]}\n }\n X = df[features]\n #print(X)\n y = df[target]\n print(y)\n \n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n #knn = KNeighborsClassifier(n_neighbors=5, metric='minkowski',p=4)\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test,target,features,models_params)\n #print (y_pred.shape)\n #print (y_test.shape)\n \n #return\n #for i in range(len(y_test)): print(y_pred)\n print(accuracy_score(y_test,y_pred)) #print (set(y_pred))\n #print (metrics_1)\n#Splitting the data for training and testing sets\ndef extract_train_test_sets(train_start_time, train_end_time, test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df['date_posted']<train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted']<test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train,y_test,target,features,models_params):\n out = open(\"out.txt\",\"a\")\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print(\"start training for {0}\".format(m))\n out.write(\"start training for {0}\\n\".format(m))\n for params in listofparam:\n print (params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train,y_train)\n #y_pred vector of prob estimates\n #val_y are true values\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:,1],y_test)\n print(\"this is valy\")\n print (y_test)\n print(\"this is y_pred\")\n print (y_pred)\n plot_precision_recall(y_test, y_pred[:,1],model,'show')\n out.write(\"----------------------------\\n\")\n out.write(\"Using %s classifier \\n\" % models_params)\n out.write(json.dumps(metrics[m]))\n\n\n\n\n\n",
"import numpy as np\nimport pdb\nimport itertools as it\nimport matplotlib\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as dates\nfrom sklearn.metrics import f1_score\nimport pandas as pd\nimport os\nimport sys\nimport datetime\nimport glob\nimport re\nimport graphviz\nimport seaborn as sns\nimport numpy as np\nfrom scipy.stats import norm\nfrom sklearn.metrics import accuracy_score\nfrom sklearn.metrics import precision_score\nfrom sklearn.metrics import recall_score\nfrom sklearn.metrics import precision_recall_curve\nfrom sklearn.metrics import f1_score\nfrom sklearn.preprocessing import StandardScaler\nfrom scipy import stats\nimport warnings\nwarnings.filterwarnings('ignore')\nimport statsmodels.api as sm\nfrom patsy import dmatrices\nfrom sklearn.metrics import roc_auc_score\nfrom sklearn import tree\nfrom sklearn.svm import SVC\nfrom sklearn.tree import DecisionTreeClassifier\nfrom sklearn.ensemble import RandomForestClassifier, BaggingClassifier, GradientBoostingClassifier\nfrom sklearn.linear_model import LogisticRegression\nfrom sklearn.neighbors import KNeighborsClassifier\nfrom sklearn.cross_validation import train_test_split\nfrom sklearn import metrics\nfrom sklearn.cross_validation import cross_val_score\nimport json\nfrom sklearn.model_selection import KFold\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\ndef camel_case(column_name):\n s1 = re.sub('(.)([A-Z][a-z]+)', '\\\\1_\\\\2', column_name)\n return re.sub('([a-z0-9])([A-Z])', '\\\\1_\\\\2', s1).lower()\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\ndef bivariate(data_frame, var_1, var_2):\n varx = var_1\n vary = var_2\n data = pd.concat([data_frame[varx], data_frame[vary]], axis=1)\n data.plot.scatter(x=varx, y=vary, ylim=(0, 100))\n plt.show()\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\ndef column_dic(data_frame):\n dict = {line[:1]: line[1:].split()[0] for line in data_frame}\n print(dict)\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\ndef temp_val(data_frame, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n start_time_date = data_frame['date_posted'].min()\n end_time_date = data_frame['date_posted'].max()\n prediction_windows = [1]\n update_window = 12\n from datetime import date, datetime, timedelta\n from dateutil.relativedelta import relativedelta\n for prediction_window in prediction_windows:\n print(start_time_date, end_time_date)\n test_end_time = end_time_date\n while test_end_time >= start_time_date + 2 * relativedelta(months=+\n prediction_window):\n test_start_time = test_end_time - relativedelta(months=+\n prediction_window)\n train_end_time = test_start_time - relativedelta(days=+1)\n train_start_time = train_end_time - relativedelta(months=+\n prediction_window)\n while train_start_time >= start_time_date:\n print(train_start_time, train_end_time, test_start_time,\n test_end_time, prediction_window)\n train_start_time -= relativedelta(months=+prediction_window)\n train_set, test_set = extract_train_test_sets(train_start_time,\n train_end_time, test_start_time, test_end_time, data_frame)\n class_comp(train_set, test_set, target, features, models_params\n )\n test_end_time -= relativedelta(months=+update_window)\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\nwarnings.filterwarnings('ignore')\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\ndef camel_case(column_name):\n s1 = re.sub('(.)([A-Z][a-z]+)', '\\\\1_\\\\2', column_name)\n return re.sub('([a-z0-9])([A-Z])', '\\\\1_\\\\2', s1).lower()\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\ndef bivariate(data_frame, var_1, var_2):\n varx = var_1\n vary = var_2\n data = pd.concat([data_frame[varx], data_frame[vary]], axis=1)\n data.plot.scatter(x=varx, y=vary, ylim=(0, 100))\n plt.show()\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\ndef column_dic(data_frame):\n dict = {line[:1]: line[1:].split()[0] for line in data_frame}\n print(dict)\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\ndef temp_val(data_frame, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n start_time_date = data_frame['date_posted'].min()\n end_time_date = data_frame['date_posted'].max()\n prediction_windows = [1]\n update_window = 12\n from datetime import date, datetime, timedelta\n from dateutil.relativedelta import relativedelta\n for prediction_window in prediction_windows:\n print(start_time_date, end_time_date)\n test_end_time = end_time_date\n while test_end_time >= start_time_date + 2 * relativedelta(months=+\n prediction_window):\n test_start_time = test_end_time - relativedelta(months=+\n prediction_window)\n train_end_time = test_start_time - relativedelta(days=+1)\n train_start_time = train_end_time - relativedelta(months=+\n prediction_window)\n while train_start_time >= start_time_date:\n print(train_start_time, train_end_time, test_start_time,\n test_end_time, prediction_window)\n train_start_time -= relativedelta(months=+prediction_window)\n train_set, test_set = extract_train_test_sets(train_start_time,\n train_end_time, test_start_time, test_end_time, data_frame)\n class_comp(train_set, test_set, target, features, models_params\n )\n test_end_time -= relativedelta(months=+update_window)\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\ndef camel_case(column_name):\n s1 = re.sub('(.)([A-Z][a-z]+)', '\\\\1_\\\\2', column_name)\n return re.sub('([a-z0-9])([A-Z])', '\\\\1_\\\\2', s1).lower()\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\ndef bivariate(data_frame, var_1, var_2):\n varx = var_1\n vary = var_2\n data = pd.concat([data_frame[varx], data_frame[vary]], axis=1)\n data.plot.scatter(x=varx, y=vary, ylim=(0, 100))\n plt.show()\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\ndef column_dic(data_frame):\n dict = {line[:1]: line[1:].split()[0] for line in data_frame}\n print(dict)\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\ndef temp_val(data_frame, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n start_time_date = data_frame['date_posted'].min()\n end_time_date = data_frame['date_posted'].max()\n prediction_windows = [1]\n update_window = 12\n from datetime import date, datetime, timedelta\n from dateutil.relativedelta import relativedelta\n for prediction_window in prediction_windows:\n print(start_time_date, end_time_date)\n test_end_time = end_time_date\n while test_end_time >= start_time_date + 2 * relativedelta(months=+\n prediction_window):\n test_start_time = test_end_time - relativedelta(months=+\n prediction_window)\n train_end_time = test_start_time - relativedelta(days=+1)\n train_start_time = train_end_time - relativedelta(months=+\n prediction_window)\n while train_start_time >= start_time_date:\n print(train_start_time, train_end_time, test_start_time,\n test_end_time, prediction_window)\n train_start_time -= relativedelta(months=+prediction_window)\n train_set, test_set = extract_train_test_sets(train_start_time,\n train_end_time, test_start_time, test_end_time, data_frame)\n class_comp(train_set, test_set, target, features, models_params\n )\n test_end_time -= relativedelta(months=+update_window)\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\ndef camel_case(column_name):\n s1 = re.sub('(.)([A-Z][a-z]+)', '\\\\1_\\\\2', column_name)\n return re.sub('([a-z0-9])([A-Z])', '\\\\1_\\\\2', s1).lower()\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\ndef column_dic(data_frame):\n dict = {line[:1]: line[1:].split()[0] for line in data_frame}\n print(dict)\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\ndef temp_val(data_frame, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n start_time_date = data_frame['date_posted'].min()\n end_time_date = data_frame['date_posted'].max()\n prediction_windows = [1]\n update_window = 12\n from datetime import date, datetime, timedelta\n from dateutil.relativedelta import relativedelta\n for prediction_window in prediction_windows:\n print(start_time_date, end_time_date)\n test_end_time = end_time_date\n while test_end_time >= start_time_date + 2 * relativedelta(months=+\n prediction_window):\n test_start_time = test_end_time - relativedelta(months=+\n prediction_window)\n train_end_time = test_start_time - relativedelta(days=+1)\n train_start_time = train_end_time - relativedelta(months=+\n prediction_window)\n while train_start_time >= start_time_date:\n print(train_start_time, train_end_time, test_start_time,\n test_end_time, prediction_window)\n train_start_time -= relativedelta(months=+prediction_window)\n train_set, test_set = extract_train_test_sets(train_start_time,\n train_end_time, test_start_time, test_end_time, data_frame)\n class_comp(train_set, test_set, target, features, models_params\n )\n test_end_time -= relativedelta(months=+update_window)\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\ndef camel_case(column_name):\n s1 = re.sub('(.)([A-Z][a-z]+)', '\\\\1_\\\\2', column_name)\n return re.sub('([a-z0-9])([A-Z])', '\\\\1_\\\\2', s1).lower()\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\ndef column_dic(data_frame):\n dict = {line[:1]: line[1:].split()[0] for line in data_frame}\n print(dict)\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\ndef column_dic(data_frame):\n dict = {line[:1]: line[1:].split()[0] for line in data_frame}\n print(dict)\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\ndef clean_miss(data_frame):\n missing_data = miss_data(data_frame)\n data_frame = data_frame.drop(missing_data[missing_data['Total'] > 1].\n index, 1)\n data_frame.isnull().sum().max()\n return data_frame\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\ndef summary(data_frame):\n return data_frame.describe()\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\ndef get_combos(param_grid_dict):\n all = sorted(param_grid_dict)\n all_combos = []\n combinations = it.product(*(param_grid_dict[Name] for Name in all))\n for i in combinations:\n lil_combo = {}\n for iter, key in enumerate(all):\n lil_combo[key] = i[iter]\n all_combos.append(lil_combo)\n return all_combos\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\ndef merging_data2(dataframe_1, dataframe_2):\n dataframe_1['fully_funded'] = 1\n return dataframe_1\n\n\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n\n\ndef histogram(data_frame):\n sns.distplot(data_frame)\n plt.show()\n\n\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\ndef miss_data(data_frame):\n total = data_frame.isnull().sum().sort_values(ascending=False)\n percent = (data_frame.isnull().sum() / data_frame.isnull().count()\n ).sort_values(ascending=False)\n missing_data = pd.concat([total, percent], axis=1, keys=['Total',\n 'Percent'])\n return missing_data\n\n\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\ndef plotCorr(dataFrame, list):\n sns.set()\n sns.pairplot(dataFrame[list], size=2.5)\n return plt.show()\n\n\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\ndef precision_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n precision = precision_score(y_true_sorted, preds_at_k)\n return precision\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\ndef joint_sort_descending(l1, l2):\n idx = np.argsort(l1)[::-1]\n return l1[idx], l2[idx]\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\n<function token>\n\n\ndef generate_binary_at_k(y_scores, k):\n cutoff_index = int(len(y_scores) * (k / 100.0))\n predictions_binary = [(1 if x < cutoff_index else 0) for x in range(len\n (y_scores))]\n return predictions_binary\n\n\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\ndef merging_data(dataframe_1, dataframe_2):\n return pd.merge(dataframe_1, dataframe_2)\n\n\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\ndef recall_at_k(y_true, y_scores, k):\n y_scores_sorted, y_true_sorted = joint_sort_descending(np.array(\n y_scores), np.array(y_true))\n preds_at_k = generate_binary_at_k(y_scores_sorted, k)\n recall = recall_score(y_true_sorted, preds_at_k)\n return recall\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef to_binary(df, array_col):\n for i in array_col:\n print(i)\n df[i] = df[i].apply(lambda x: 1 if x == 't' else 0)\n return df\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\ndef knearest(data_frame, train, test):\n X = data_frame[train].reshape(-1, 1)\n Y = data_frame[test].reshape(-1, 1)\n X_train = X[:100]\n Y_train = Y[:100]\n X_validate = X[100:]\n Y_validate = Y[100:]\n neighbor = KNeighborsClassifier(n_neighbors=2, weights='uniform')\n neighbor.fit(X_train, Y_train)\n predicted = neighbor.predict(X_validate)\n print(predicted)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n\n\ndef logReg(data_frame, IV, var_list):\n if '-' in var_list[0]:\n formula = IV + '~' + 'Q(\"' + var_list[0] + '\")'\n else:\n formula = IV + '~' + var_list[0]\n for i in range(1, len(var_list)):\n if '-' in var_list[i]:\n formula = formula + '+' + 'Q(\"' + var_list[i] + '\")'\n else:\n formula = formula + '+' + var_list[i]\n y, X = dmatrices(formula, data_frame, return_type='dataframe')\n y = np.ravel(y)\n model = LogisticRegression()\n model = model.fit(X, y)\n print(pd.DataFrame(list(zip(X.columns, np.transpose(model.coef_)))))\n return model.score(X, y)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef cor_heat(data_frame, var_name):\n corrmat = data_frame.corr()\n k = 12\n cols = corrmat.nlargest(k, var_name)[var_name].index\n cm = np.corrcoef(data_frame[cols].values.T)\n sns.set(font_scale=1.25)\n hm = sns.heatmap(cm, cbar=True, annot=True, square=True, fmt='.2f',\n annot_kws={'size': 10}, yticklabels=cols.values, xticklabels=cols.\n values)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n\n\ndef load_data(csv_file, nrows=None):\n return pd.read_csv(csv_file, nrows=nrows)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n\n\ndef kfold_eval(df, target, features):\n models_params = {RandomForestClassifier: {'n_estimators': [100],\n 'criterion': ['gini', 'entropy'], 'max_features': ['sqrt', 'log2'],\n 'max_depth': [5, 10], 'n_jobs': [4], 'min_samples_leaf': [10, 50, \n 100]}, LogisticRegression: {'C': [10 ** -1, 10 ** -2, 10 ** -3],\n 'penalty': ['l1', 'l2']}, KNeighborsClassifier: {'n_neighbors': [5,\n 10, 25, 100], 'p': [1, 2, 3], 'n_jobs': [2]},\n DecisionTreeClassifier: {'max_depth': [5, 10, 15],\n 'min_samples_leaf': [2, 5, 10]}, GradientBoostingClassifier: {\n 'learning_rate': [0.1, 0.01], 'n_estimators': [100], 'max_features':\n ['sqrt', 'log2'], 'max_depth': [1, 2, 3]}, BaggingClassifier: {\n 'max_samples': [0.1, 0.25, 0.65], 'n_jobs': [4]}}\n X = df[features]\n y = df[target]\n print(y)\n X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2,\n random_state=0)\n \"\"\"\n kf = KFold(n_splits=2)\n kf.get_n_splits(X)\n #print(kf)\n KFold(n_splits=2,random_state=None,shuffle=False)\n for train_index, test_index in kf.split(X):\n print(\"TRAIN:\", train_index, \"TEST:\", test_index)\n X_train, X_test = X[train_index], X[test_index]\n y_train, y_test = y[train_index], y[test_index]\n \"\"\"\n \"\"\"rf = RandomForestClassifier(n_estimators=100,criterion='gini',max_features='sqrt',max_depth=5)\n rf.fit(X_train, y_train)\n y_score = rf.predict_proba(X_test)\n #y_score = rf.decision_function(X_test)\n y_pred = rf.predict(X_test)\n print(roc_auc_score(y_test,y_score[:,0]))\n metrics_1 ={}\"\"\"\n class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params)\n print(accuracy_score(y_test, y_pred))\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\ndef fill_empty(data_frame, var, new_var):\n return data_frame[var].fillna(new_var)\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n<function token>\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef plot_precision_recall(val_Y, y_pred, model_name, output_type):\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n prec = prec[:-1]\n recall_curve = rec[:-1]\n pct_above_per_thresh = []\n number_scored = len(y_pred)\n for value in thresh:\n num_above_thresh = len(y_pred[y_pred >= value])\n pct_above_thresh = num_above_thresh / float(len(y_pred))\n if pct_above_thresh <= 1:\n pct_above_per_thresh.append(pct_above_thresh)\n else:\n raise Exception\n pct_above_per_thresh = np.array(pct_above_per_thresh)\n plt.clf()\n fig, ax1 = plt.subplots()\n ax1.plot(pct_above_per_thresh, prec, 'b')\n print('PLOTTING STUFF')\n print(pct_above_per_thresh)\n print(prec[:-1])\n ax1.set_xlabel('percent of population')\n ax1.set_ylabel('precision', color='b')\n ax2 = ax1.twinx()\n ax2.plot(pct_above_per_thresh, recall_curve, 'r')\n ax2.set_ylabel('recall', color='r')\n ax1.set_ylim([0, 1])\n ax2.set_xlim([0, 1])\n name = model_name\n plt.title(name)\n if output_type == 'save':\n plt.savefig(name)\n elif output_type == 'show':\n plt.show()\n pdb.set_trace()\n else:\n plt.show()\n pdb.set_trace()\n\n\n<function token>\n<function token>\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n\n\ndef descretize(data_frame, var, num):\n return pd.cut(data_frame[var], num, retbins=True)\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n<function token>\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\ndef class_comp(X_train, X_test, y_train, y_test, target, features,\n models_params):\n out = open('out.txt', 'a')\n \"\"\"X_train = train_set[features] #X\n y_train = train_set[target] #y\n \n #validation\n X_test = test_set[features] #val_x\n y_test = test_set[target] #val_y\"\"\"\n metrics = {}\n for m, m_param in models_params.items():\n listofparam = get_combos(m_param)\n print('start training for {0}'.format(m))\n out.write('start training for {0}\\n'.format(m))\n for params in listofparam:\n print(params)\n out.write(json.dumps(params))\n model = m(**params)\n model.fit(X_train, y_train)\n y_pred = model.predict_proba(X_test)\n metrics[m] = get_metrics(y_pred[:, 1], y_test)\n print('this is valy')\n print(y_test)\n print('this is y_pred')\n print(y_pred)\n plot_precision_recall(y_test, y_pred[:, 1], model, 'show')\n out.write('----------------------------\\n')\n out.write('Using %s classifier \\n' % models_params)\n out.write(json.dumps(metrics[m]))\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n<function token>\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef extract_train_test_sets(train_start_time, train_end_time,\n test_start_time, test_end_time, df):\n train_set = df[(df['date_posted'] > train_start_time) & (df[\n 'date_posted'] < train_end_time)]\n test_set = df[(df['date_posted'] > test_start_time) & (df['date_posted'\n ] < test_end_time)]\n return train_set, test_set\n\n\n<function token>\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef scale(data_frame, var_scale):\n data_scaled = StandardScaler().fit_transform(data_frame[var_scale][:,\n np.newaxis])\n low_range = data_scaled[data_scaled[:, 0].argsort()][:10]\n high_range = data_scaled[data_scaled[:, 0].argsort()][-10:]\n print('outer range (low) of the distribution:')\n print(low_range)\n print('\\nouter range (high) of the distribution:')\n print(high_range)\n\n\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n<function token>\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n<function token>\n\n\ndef dummy_var(data_frame, var):\n return pd.get_dummies(data_frame[var])\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef norm_plot(data_frame, var_name):\n sns.distplot(data_frame[var_name], fit=norm)\n fig = plt.figure()\n res = stats.probplot(data_frame[var_name], plot=plt)\n plt.show()\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef get_metrics(y_pred, val_Y):\n metric_results = {}\n ones = np.sum(val_Y)['SeriousDlqin2yrs'] / float(len(val_Y))\n zeros = 1 - ones\n try:\n metric_results['baseline'] = max(ones, zeros)\n except:\n pdb.set_trace()\n if ones > zeros:\n metric_results['precision_base'] = precision_score(val_Y, np.ones(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.ones[len(val_Y)]\n )\n else:\n metric_results['precision_base'] = precision_score(val_Y, np.zeros(\n len(val_Y)))\n metric_results['recall_base'] = recall_score(val_Y, np.zeros(len(\n val_Y)))\n perf_metrics = [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5]\n for i in perf_metrics:\n print('Recall AT \\n')\n print(recall_at_k(val_Y, y_pred, i))\n metric_results['precision at' + str([i])] = precision_at_k(val_Y,\n y_pred, i)\n metric_results['recall at' + str([i])] = recall_score(val_Y, y_pred >\n 1 - i)\n metric_results['F1 at' + str([i])] = f1_score(val_Y, y_pred > 1 - i)\n metric_results['ROC'] = roc_auc_score(val_Y, y_pred)\n prec, rec, thresh = precision_recall_curve(val_Y, y_pred)\n metric_results['PREC'] = prec.tolist()\n metric_results['REC'] = rec.tolist()\n metric_results['THRESH'] = thresh.tolist()\n return metric_results\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<code token>\n<import token>\n<docstring token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,745 |
698d9a23877eecfd79204249b13c4e7d2063139d
|
from w_location import LocationWrapper
class CastleWrapper:
"""
this class is a wrapper for castle.
"""
def __init__(self, castle):
self.castle = castle
def current_health(self):
return self.castle.current_health
def get_location(self):
return LocationWrapper(self.castle.location)
def get_x(self):
return self.get_location().get_x()
def get_y(self):
return self.get_location().get_y()
|
[
"from w_location import LocationWrapper\n\n\nclass CastleWrapper:\n \"\"\"\n this class is a wrapper for castle.\n \"\"\"\n\n def __init__(self, castle):\n self.castle = castle\n\n def current_health(self):\n return self.castle.current_health\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n\n def get_x(self):\n return self.get_location().get_x()\n\n def get_y(self):\n return self.get_location().get_y()\n",
"<import token>\n\n\nclass CastleWrapper:\n \"\"\"\n this class is a wrapper for castle.\n \"\"\"\n\n def __init__(self, castle):\n self.castle = castle\n\n def current_health(self):\n return self.castle.current_health\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n\n def get_x(self):\n return self.get_location().get_x()\n\n def get_y(self):\n return self.get_location().get_y()\n",
"<import token>\n\n\nclass CastleWrapper:\n <docstring token>\n\n def __init__(self, castle):\n self.castle = castle\n\n def current_health(self):\n return self.castle.current_health\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n\n def get_x(self):\n return self.get_location().get_x()\n\n def get_y(self):\n return self.get_location().get_y()\n",
"<import token>\n\n\nclass CastleWrapper:\n <docstring token>\n <function token>\n\n def current_health(self):\n return self.castle.current_health\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n\n def get_x(self):\n return self.get_location().get_x()\n\n def get_y(self):\n return self.get_location().get_y()\n",
"<import token>\n\n\nclass CastleWrapper:\n <docstring token>\n <function token>\n\n def current_health(self):\n return self.castle.current_health\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n <function token>\n\n def get_y(self):\n return self.get_location().get_y()\n",
"<import token>\n\n\nclass CastleWrapper:\n <docstring token>\n <function token>\n\n def current_health(self):\n return self.castle.current_health\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n <function token>\n <function token>\n",
"<import token>\n\n\nclass CastleWrapper:\n <docstring token>\n <function token>\n <function token>\n\n def get_location(self):\n return LocationWrapper(self.castle.location)\n <function token>\n <function token>\n",
"<import token>\n\n\nclass CastleWrapper:\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,746 |
317267d8b041550887b2e071288bb07f7847cb3e
|
from django.shortcuts import render, redirect
from Books.forms import *
# Create your views here.
def bookcreate(request):
template_name = "bookCreate.html"
form = BookForm()
dict = {}
dict["form"] = form
query = Book.objects.all()
dict["books"] = query
if request.method == "POST":
form = BookForm(request.POST)
if form.is_valid():
form.save()
query = Book.objects.all()
dict["books"] = query
return render(request, template_name, dict)
else:
dict["form"] = form
return render(request, template_name, dict)
def viewbook(request, pk):
obj = Book.objects.get(id=pk)
dict = {}
dict["items"] = obj
return render(request, "bookview.html", dict)
def deletebook(request, pk):
obj = Book.objects.get(id=pk).delete()
return redirect("createbook")
def bookupdate(request, pk):
query = Book.objects.get(id=pk)
form = Bookupdateform(instance=query)
dict = {}
dict["form"] = form
if request.method == "POST":
form = Bookupdateform(instance=query, data=request.POST)
form.save()
return redirect("createbook")
return render(request, "updatebook.html", dict)
|
[
"from django.shortcuts import render, redirect\nfrom Books.forms import *\n\n\n# Create your views here.\n\ndef bookcreate(request):\n template_name = \"bookCreate.html\"\n form = BookForm()\n dict = {}\n dict[\"form\"] = form\n query = Book.objects.all()\n dict[\"books\"] = query\n if request.method == \"POST\":\n form = BookForm(request.POST)\n if form.is_valid():\n form.save()\n query = Book.objects.all()\n dict[\"books\"] = query\n return render(request, template_name, dict)\n else:\n dict[\"form\"] = form\n return render(request, template_name, dict)\n\n\ndef viewbook(request, pk):\n obj = Book.objects.get(id=pk)\n dict = {}\n dict[\"items\"] = obj\n return render(request, \"bookview.html\", dict)\n\n\ndef deletebook(request, pk):\n obj = Book.objects.get(id=pk).delete()\n return redirect(\"createbook\")\n\n\ndef bookupdate(request, pk):\n query = Book.objects.get(id=pk)\n form = Bookupdateform(instance=query)\n dict = {}\n dict[\"form\"] = form\n if request.method == \"POST\":\n form = Bookupdateform(instance=query, data=request.POST)\n form.save()\n return redirect(\"createbook\")\n return render(request, \"updatebook.html\", dict)\n",
"from django.shortcuts import render, redirect\nfrom Books.forms import *\n\n\ndef bookcreate(request):\n template_name = 'bookCreate.html'\n form = BookForm()\n dict = {}\n dict['form'] = form\n query = Book.objects.all()\n dict['books'] = query\n if request.method == 'POST':\n form = BookForm(request.POST)\n if form.is_valid():\n form.save()\n query = Book.objects.all()\n dict['books'] = query\n return render(request, template_name, dict)\n else:\n dict['form'] = form\n return render(request, template_name, dict)\n\n\ndef viewbook(request, pk):\n obj = Book.objects.get(id=pk)\n dict = {}\n dict['items'] = obj\n return render(request, 'bookview.html', dict)\n\n\ndef deletebook(request, pk):\n obj = Book.objects.get(id=pk).delete()\n return redirect('createbook')\n\n\ndef bookupdate(request, pk):\n query = Book.objects.get(id=pk)\n form = Bookupdateform(instance=query)\n dict = {}\n dict['form'] = form\n if request.method == 'POST':\n form = Bookupdateform(instance=query, data=request.POST)\n form.save()\n return redirect('createbook')\n return render(request, 'updatebook.html', dict)\n",
"<import token>\n\n\ndef bookcreate(request):\n template_name = 'bookCreate.html'\n form = BookForm()\n dict = {}\n dict['form'] = form\n query = Book.objects.all()\n dict['books'] = query\n if request.method == 'POST':\n form = BookForm(request.POST)\n if form.is_valid():\n form.save()\n query = Book.objects.all()\n dict['books'] = query\n return render(request, template_name, dict)\n else:\n dict['form'] = form\n return render(request, template_name, dict)\n\n\ndef viewbook(request, pk):\n obj = Book.objects.get(id=pk)\n dict = {}\n dict['items'] = obj\n return render(request, 'bookview.html', dict)\n\n\ndef deletebook(request, pk):\n obj = Book.objects.get(id=pk).delete()\n return redirect('createbook')\n\n\ndef bookupdate(request, pk):\n query = Book.objects.get(id=pk)\n form = Bookupdateform(instance=query)\n dict = {}\n dict['form'] = form\n if request.method == 'POST':\n form = Bookupdateform(instance=query, data=request.POST)\n form.save()\n return redirect('createbook')\n return render(request, 'updatebook.html', dict)\n",
"<import token>\n\n\ndef bookcreate(request):\n template_name = 'bookCreate.html'\n form = BookForm()\n dict = {}\n dict['form'] = form\n query = Book.objects.all()\n dict['books'] = query\n if request.method == 'POST':\n form = BookForm(request.POST)\n if form.is_valid():\n form.save()\n query = Book.objects.all()\n dict['books'] = query\n return render(request, template_name, dict)\n else:\n dict['form'] = form\n return render(request, template_name, dict)\n\n\ndef viewbook(request, pk):\n obj = Book.objects.get(id=pk)\n dict = {}\n dict['items'] = obj\n return render(request, 'bookview.html', dict)\n\n\n<function token>\n\n\ndef bookupdate(request, pk):\n query = Book.objects.get(id=pk)\n form = Bookupdateform(instance=query)\n dict = {}\n dict['form'] = form\n if request.method == 'POST':\n form = Bookupdateform(instance=query, data=request.POST)\n form.save()\n return redirect('createbook')\n return render(request, 'updatebook.html', dict)\n",
"<import token>\n<function token>\n\n\ndef viewbook(request, pk):\n obj = Book.objects.get(id=pk)\n dict = {}\n dict['items'] = obj\n return render(request, 'bookview.html', dict)\n\n\n<function token>\n\n\ndef bookupdate(request, pk):\n query = Book.objects.get(id=pk)\n form = Bookupdateform(instance=query)\n dict = {}\n dict['form'] = form\n if request.method == 'POST':\n form = Bookupdateform(instance=query, data=request.POST)\n form.save()\n return redirect('createbook')\n return render(request, 'updatebook.html', dict)\n",
"<import token>\n<function token>\n<function token>\n<function token>\n\n\ndef bookupdate(request, pk):\n query = Book.objects.get(id=pk)\n form = Bookupdateform(instance=query)\n dict = {}\n dict['form'] = form\n if request.method == 'POST':\n form = Bookupdateform(instance=query, data=request.POST)\n form.save()\n return redirect('createbook')\n return render(request, 'updatebook.html', dict)\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,747 |
6a969cc5b8a74ae7399de43bb24b98fdbec58c7a
|
import json
from os import environ
from packaging.requirements import Requirement
from packaging.specifiers import SpecifierSet
import pytest
from mach_nix.data.bucket_dict import LazyBucketDict
from mach_nix.requirements import parse_reqs_line
@pytest.mark.parametrize("input, exp_output", [
('requests', ('requests', (), None, None, None))
, ('requests[socks] ==2.24.0', ('requests', ('socks',), (SpecifierSet('==2.24.0'),), None, None))
, ('requests[socks,test] 2.24.0', ('requests', ('socks', 'test'), (SpecifierSet('==2.24.0'),), None, None))
, ('python >=2.7,<2.8.0a0', ('python', (), (SpecifierSet('>=2.7,<2.8.0a0'),), None, None))
, ('requests == 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))
, ('pdfminer.six == 20200726', ('pdfminer.six', (), (SpecifierSet('==20200726'),), None, None))
, ('python>= 3.5', ('python', (), (SpecifierSet('>=3.5'),), None, None))
, ('python >=3.5', ('python', (), (SpecifierSet('>=3.5'),), None, None))
, ('python >=2.6, !=3.0.*', ('python', (), (SpecifierSet('>=2.6,!=3.0.*'),), None, None))
, ("unittest2 >=2.0,<3.0 ; python_version == '2.4' or python_version == '2.5'",
('unittest2', (), (SpecifierSet('>=2.0,<3.0'),), None, "python_version == '2.4' or python_version == '2.5'"))
, ("pywin32 > 1.0 ; sys.platform == 'win32'", ('pywin32', (), (SpecifierSet('>1.0'),), None, "sys.platform == 'win32'"))
, ("certifi (==2016.9.26) ; extra == 'certs'",
('certifi', ('certs',), (SpecifierSet('==2016.9.26'),), None, "extra == 'certs'"))
, ("sphinx ; extra == 'docs'", ('sphinx', ('docs',), None, None, "extra == 'docs'"))
, ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))
, ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))
, ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))
, ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))
, ('hdf5 >=1.10.5,<1.10.6.0a0 mpi_mpich_*',
('hdf5', (), (SpecifierSet('>=1.10.5,<1.10.6.0a0'),), 'mpi_mpich_*', None))
, ('blas 1.* openblas', ('blas', (), (SpecifierSet('==1.*'),), 'openblas', None))
, ('blas * openblas', ('blas', (), (SpecifierSet('==*'),), 'openblas', None))
, ('blas 1.1 openblas', ('blas', (), (SpecifierSet('==1.1'),), 'openblas', None))
, ('requests >=2.24.0 build123*', ('requests', (), (SpecifierSet('>=2.24.0'),), 'build123*', None))
, ('requests ==2.24.* build123*', ('requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None))
, ('requests 2.24.* build123*', ('requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None))
, ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))
, ('requests 2.24.0 *bla', ('requests', (), (SpecifierSet('==2.24.0'),), '*bla', None))
, ('requests 2.24.0 *', ('requests', (), (SpecifierSet('==2.24.0'),), '*', None))
, ('requests * *bla', ('requests', (), (SpecifierSet('==*'),), '*bla', None))
, ('requests * *', ('requests', (), (SpecifierSet('==*'),), '*', None))
, ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))
, ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))
, ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))
, ('ruamel.yaml >=0.12.4,<0.16|0.16.5.*',
('ruamel.yaml', (), (SpecifierSet('>=0.12.4,<0.16'), SpecifierSet('==0.16.5.*')), None, None))
, ('openjdk =8|11', ('openjdk', (), (SpecifierSet('==8'), SpecifierSet('==11')), None, None))
, ('python 3.6.9 ab_73_pypy', ('python', (), (SpecifierSet('==3.6.9'),), 'ab_73_pypy', None))
, ('gitpython >=3.0.8,3.0.*', ('gitpython', (), (SpecifierSet('>=3.0.8,==3.0.*'),), None, None))
, ("zest.releaser[recommended] ; extra == 'maintainer'",
('zest.releaser', ('recommended', 'maintainer'), None, None, "extra == 'maintainer'"))
, ('pytz (>dev)', ('pytz', (), (), None, None))
, ('libcurl 7.71.1 h20c2e04_1', ('libcurl', (), (SpecifierSet('==7.71.1'),), 'h20c2e04_1', None))
, ('ixmp ==0.1.3 1', ('ixmp', (), (SpecifierSet('==0.1.3',),), '1', None))
])
def test_parse_requirements(input, exp_output):
assert parse_reqs_line(input) == exp_output
# Pypi packages contain a lot of invalid requirement syntax.
# All lines that can't be parsed by packaging are ignored.
# Additionally, some syntax that we don't currently support
# are ignored.
# All other lines must be parsed without errors.
def parse_or_ignore_line(line):
lineStripped = line.strip().replace("'", "").replace('"', '')
if not len(lineStripped):
return
if line.startswith("#"):
return
# We don't currently support requirements with these.
unsupported = (
"@",
"===",
)
if any((x in lineStripped for x in unsupported)):
return
# We turn the DeprecationWarning raised by
# packaging.specifier.LegacySpecifier into an error in
# test_parse_all_pypi_reqs below, so this will raise in
# that case.
try:
Requirement(line)
except Exception:
return False
parse_reqs_line(line)
def parse_or_ignore_line_conda(line):
# lineStripped = line.strip().replace("'", "").replace('"', '')
lineStripped = line
# if not len(lineStripped):
# return
# if line.startswith("#"):
# return
if any(lineStripped.startswith(x) for x in [
]):
return
if any(lineStripped.endswith(x) for x in [
]):
return
if any((x in lineStripped for x in [
'blas *.* mkl'
])):
return
parse_reqs_line(line)
# Constructing a packaging.specifiers.LegacySpecifier
# issues a warning containing "LegacyVersion". We
# turn it into an error here, so we can treat it as
# unparseable.
@pytest.mark.filterwarnings("error:.*LegacyVersion.*:DeprecationWarning")
@pytest.mark.parametrize("bucket", LazyBucketDict.bucket_keys())
def test_parse_all_pypi_reqs(bucket):
data_dir = environ.get("PYPI_DATA", default=None)
data = LazyBucketDict(f"{data_dir}/sdist")
for pname, vers in data.by_bucket(bucket).items():
for ver, pyvers in vers.items():
if isinstance(pyvers, str):
continue
for pyver, release in pyvers.items():
if isinstance(release, str):
continue
for key in ("setup_requires", "install_requires"):
if key in release:
for line in release[key]:
parse_or_ignore_line(line)
if "extras_require" in release:
for extra, lines in release["extras_require"].items():
for line in lines:
parse_or_ignore_line(line)
def conda_channel_files():
conda_data = environ.get("CONDA_DATA", None)
if not conda_data:
return []
with open(conda_data) as f:
data = json.load(f)
for channel, files in data.items():
for file in files:
yield file
@pytest.mark.skipif(conda_channel_files() == [], reason="no CONDA_DATA provided")
@pytest.mark.parametrize("file", conda_channel_files())
def test_parse_all_conda_reqs(file):
with open(file) as f:
cdata = json.load(f)
for pname, pdata in cdata['packages'].items():
for line in pdata['depends']:
parse_or_ignore_line_conda(line)
|
[
"import json\nfrom os import environ\n\nfrom packaging.requirements import Requirement\nfrom packaging.specifiers import SpecifierSet\nimport pytest\n\nfrom mach_nix.data.bucket_dict import LazyBucketDict\nfrom mach_nix.requirements import parse_reqs_line\n\n\[email protected](\"input, exp_output\", [\n\n ('requests', ('requests', (), None, None, None))\n , ('requests[socks] ==2.24.0', ('requests', ('socks',), (SpecifierSet('==2.24.0'),), None, None))\n , ('requests[socks,test] 2.24.0', ('requests', ('socks', 'test'), (SpecifierSet('==2.24.0'),), None, None))\n , ('python >=2.7,<2.8.0a0', ('python', (), (SpecifierSet('>=2.7,<2.8.0a0'),), None, None))\n , ('requests == 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))\n , ('pdfminer.six == 20200726', ('pdfminer.six', (), (SpecifierSet('==20200726'),), None, None))\n , ('python>= 3.5', ('python', (), (SpecifierSet('>=3.5'),), None, None))\n , ('python >=3.5', ('python', (), (SpecifierSet('>=3.5'),), None, None))\n , ('python >=2.6, !=3.0.*', ('python', (), (SpecifierSet('>=2.6,!=3.0.*'),), None, None))\n , (\"unittest2 >=2.0,<3.0 ; python_version == '2.4' or python_version == '2.5'\",\n ('unittest2', (), (SpecifierSet('>=2.0,<3.0'),), None, \"python_version == '2.4' or python_version == '2.5'\"))\n , (\"pywin32 > 1.0 ; sys.platform == 'win32'\", ('pywin32', (), (SpecifierSet('>1.0'),), None, \"sys.platform == 'win32'\"))\n , (\"certifi (==2016.9.26) ; extra == 'certs'\",\n ('certifi', ('certs',), (SpecifierSet('==2016.9.26'),), None, \"extra == 'certs'\"))\n , (\"sphinx ; extra == 'docs'\", ('sphinx', ('docs',), None, None, \"extra == 'docs'\"))\n , ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))\n , ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))\n , ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))\n , ('requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None, None))\n , ('hdf5 >=1.10.5,<1.10.6.0a0 mpi_mpich_*',\n ('hdf5', (), (SpecifierSet('>=1.10.5,<1.10.6.0a0'),), 'mpi_mpich_*', None))\n , ('blas 1.* openblas', ('blas', (), (SpecifierSet('==1.*'),), 'openblas', None))\n , ('blas * openblas', ('blas', (), (SpecifierSet('==*'),), 'openblas', None))\n , ('blas 1.1 openblas', ('blas', (), (SpecifierSet('==1.1'),), 'openblas', None))\n , ('requests >=2.24.0 build123*', ('requests', (), (SpecifierSet('>=2.24.0'),), 'build123*', None))\n , ('requests ==2.24.* build123*', ('requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None))\n , ('requests 2.24.* build123*', ('requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None))\n , ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))\n , ('requests 2.24.0 *bla', ('requests', (), (SpecifierSet('==2.24.0'),), '*bla', None))\n , ('requests 2.24.0 *', ('requests', (), (SpecifierSet('==2.24.0'),), '*', None))\n , ('requests * *bla', ('requests', (), (SpecifierSet('==*'),), '*bla', None))\n , ('requests * *', ('requests', (), (SpecifierSet('==*'),), '*', None))\n , ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))\n , ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))\n , ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None))\n , ('ruamel.yaml >=0.12.4,<0.16|0.16.5.*',\n ('ruamel.yaml', (), (SpecifierSet('>=0.12.4,<0.16'), SpecifierSet('==0.16.5.*')), None, None))\n , ('openjdk =8|11', ('openjdk', (), (SpecifierSet('==8'), SpecifierSet('==11')), None, None))\n , ('python 3.6.9 ab_73_pypy', ('python', (), (SpecifierSet('==3.6.9'),), 'ab_73_pypy', None))\n , ('gitpython >=3.0.8,3.0.*', ('gitpython', (), (SpecifierSet('>=3.0.8,==3.0.*'),), None, None))\n , (\"zest.releaser[recommended] ; extra == 'maintainer'\",\n ('zest.releaser', ('recommended', 'maintainer'), None, None, \"extra == 'maintainer'\"))\n , ('pytz (>dev)', ('pytz', (), (), None, None))\n , ('libcurl 7.71.1 h20c2e04_1', ('libcurl', (), (SpecifierSet('==7.71.1'),), 'h20c2e04_1', None))\n , ('ixmp ==0.1.3 1', ('ixmp', (), (SpecifierSet('==0.1.3',),), '1', None))\n])\ndef test_parse_requirements(input, exp_output):\n assert parse_reqs_line(input) == exp_output\n\n# Pypi packages contain a lot of invalid requirement syntax.\n# All lines that can't be parsed by packaging are ignored.\n# Additionally, some syntax that we don't currently support\n# are ignored.\n# All other lines must be parsed without errors.\ndef parse_or_ignore_line(line):\n lineStripped = line.strip().replace(\"'\", \"\").replace('\"', '')\n if not len(lineStripped):\n return\n if line.startswith(\"#\"):\n return\n # We don't currently support requirements with these.\n unsupported = (\n \"@\",\n \"===\",\n )\n if any((x in lineStripped for x in unsupported)):\n return\n # We turn the DeprecationWarning raised by\n # packaging.specifier.LegacySpecifier into an error in\n # test_parse_all_pypi_reqs below, so this will raise in\n # that case.\n try:\n Requirement(line)\n except Exception:\n return False\n parse_reqs_line(line)\n\n\ndef parse_or_ignore_line_conda(line):\n # lineStripped = line.strip().replace(\"'\", \"\").replace('\"', '')\n lineStripped = line\n # if not len(lineStripped):\n # return\n # if line.startswith(\"#\"):\n # return\n if any(lineStripped.startswith(x) for x in [\n\n ]):\n return\n if any(lineStripped.endswith(x) for x in [\n\n ]):\n return\n if any((x in lineStripped for x in [\n 'blas *.* mkl'\n ])):\n return\n parse_reqs_line(line)\n\n\n# Constructing a packaging.specifiers.LegacySpecifier\n# issues a warning containing \"LegacyVersion\". We\n# turn it into an error here, so we can treat it as\n# unparseable.\[email protected](\"error:.*LegacyVersion.*:DeprecationWarning\")\[email protected](\"bucket\", LazyBucketDict.bucket_keys())\ndef test_parse_all_pypi_reqs(bucket):\n data_dir = environ.get(\"PYPI_DATA\", default=None)\n data = LazyBucketDict(f\"{data_dir}/sdist\")\n for pname, vers in data.by_bucket(bucket).items():\n for ver, pyvers in vers.items():\n if isinstance(pyvers, str):\n continue\n for pyver, release in pyvers.items():\n if isinstance(release, str):\n continue\n for key in (\"setup_requires\", \"install_requires\"):\n if key in release:\n for line in release[key]:\n parse_or_ignore_line(line)\n if \"extras_require\" in release:\n for extra, lines in release[\"extras_require\"].items():\n for line in lines:\n parse_or_ignore_line(line)\n\n\ndef conda_channel_files():\n conda_data = environ.get(\"CONDA_DATA\", None)\n if not conda_data:\n return []\n with open(conda_data) as f:\n data = json.load(f)\n for channel, files in data.items():\n for file in files:\n yield file\n\n\[email protected](conda_channel_files() == [], reason=\"no CONDA_DATA provided\")\[email protected](\"file\", conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"import json\nfrom os import environ\nfrom packaging.requirements import Requirement\nfrom packaging.specifiers import SpecifierSet\nimport pytest\nfrom mach_nix.data.bucket_dict import LazyBucketDict\nfrom mach_nix.requirements import parse_reqs_line\n\n\[email protected]('input, exp_output', [('requests', ('requests', (),\n None, None, None)), ('requests[socks] ==2.24.0', ('requests', ('socks',\n ), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests[socks,test] 2.24.0', ('requests', ('socks', 'test'), (\n SpecifierSet('==2.24.0'),), None, None)), ('python >=2.7,<2.8.0a0', (\n 'python', (), (SpecifierSet('>=2.7,<2.8.0a0'),), None, None)), (\n 'requests == 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),),\n None, None)), ('pdfminer.six == 20200726', ('pdfminer.six', (), (\n SpecifierSet('==20200726'),), None, None)), ('python>= 3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=2.6, !=3.0.*', (\n 'python', (), (SpecifierSet('>=2.6,!=3.0.*'),), None, None)), (\n \"unittest2 >=2.0,<3.0 ; python_version == '2.4' or python_version == '2.5'\"\n , ('unittest2', (), (SpecifierSet('>=2.0,<3.0'),), None,\n \"python_version == '2.4' or python_version == '2.5'\")), (\n \"pywin32 > 1.0 ; sys.platform == 'win32'\", ('pywin32', (), (\n SpecifierSet('>1.0'),), None, \"sys.platform == 'win32'\")), (\n \"certifi (==2016.9.26) ; extra == 'certs'\", ('certifi', ('certs',), (\n SpecifierSet('==2016.9.26'),), None, \"extra == 'certs'\")), (\n \"sphinx ; extra == 'docs'\", ('sphinx', ('docs',), None, None,\n \"extra == 'docs'\")), ('requests 2.24.0', ('requests', (), (SpecifierSet\n ('==2.24.0'),), None, None)), ('requests 2.24.0', ('requests', (), (\n SpecifierSet('==2.24.0'),), None, None)), ('requests 2.24.0', (\n 'requests', (), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None,\n None)), ('hdf5 >=1.10.5,<1.10.6.0a0 mpi_mpich_*', ('hdf5', (), (\n SpecifierSet('>=1.10.5,<1.10.6.0a0'),), 'mpi_mpich_*', None)), (\n 'blas 1.* openblas', ('blas', (), (SpecifierSet('==1.*'),), 'openblas',\n None)), ('blas * openblas', ('blas', (), (SpecifierSet('==*'),),\n 'openblas', None)), ('blas 1.1 openblas', ('blas', (), (SpecifierSet(\n '==1.1'),), 'openblas', None)), ('requests >=2.24.0 build123*', (\n 'requests', (), (SpecifierSet('>=2.24.0'),), 'build123*', None)), (\n 'requests ==2.24.* build123*', ('requests', (), (SpecifierSet(\n '==2.24.*'),), 'build123*', None)), ('requests 2.24.* build123*', (\n 'requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('requests 2.24.0 *bla', ('requests', (), (\n SpecifierSet('==2.24.0'),), '*bla', None)), ('requests 2.24.0 *', (\n 'requests', (), (SpecifierSet('==2.24.0'),), '*', None)), (\n 'requests * *bla', ('requests', (), (SpecifierSet('==*'),), '*bla',\n None)), ('requests * *', ('requests', (), (SpecifierSet('==*'),), '*',\n None)), ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet(\n '==2.24.0'),), 'build123*', None)), ('requests 2.24.0 build123*', (\n 'requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('ruamel.yaml >=0.12.4,<0.16|0.16.5.*', (\n 'ruamel.yaml', (), (SpecifierSet('>=0.12.4,<0.16'), SpecifierSet(\n '==0.16.5.*')), None, None)), ('openjdk =8|11', ('openjdk', (), (\n SpecifierSet('==8'), SpecifierSet('==11')), None, None)), (\n 'python 3.6.9 ab_73_pypy', ('python', (), (SpecifierSet('==3.6.9'),),\n 'ab_73_pypy', None)), ('gitpython >=3.0.8,3.0.*', ('gitpython', (), (\n SpecifierSet('>=3.0.8,==3.0.*'),), None, None)), (\n \"zest.releaser[recommended] ; extra == 'maintainer'\", ('zest.releaser',\n ('recommended', 'maintainer'), None, None, \"extra == 'maintainer'\")), (\n 'pytz (>dev)', ('pytz', (), (), None, None)), (\n 'libcurl 7.71.1 h20c2e04_1', ('libcurl', (), (SpecifierSet('==7.71.1'),\n ), 'h20c2e04_1', None)), ('ixmp ==0.1.3 1', ('ixmp', (), (SpecifierSet(\n '==0.1.3'),), '1', None))])\ndef test_parse_requirements(input, exp_output):\n assert parse_reqs_line(input) == exp_output\n\n\ndef parse_or_ignore_line(line):\n lineStripped = line.strip().replace(\"'\", '').replace('\"', '')\n if not len(lineStripped):\n return\n if line.startswith('#'):\n return\n unsupported = '@', '==='\n if any(x in lineStripped for x in unsupported):\n return\n try:\n Requirement(line)\n except Exception:\n return False\n parse_reqs_line(line)\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\[email protected]('error:.*LegacyVersion.*:DeprecationWarning')\[email protected]('bucket', LazyBucketDict.bucket_keys())\ndef test_parse_all_pypi_reqs(bucket):\n data_dir = environ.get('PYPI_DATA', default=None)\n data = LazyBucketDict(f'{data_dir}/sdist')\n for pname, vers in data.by_bucket(bucket).items():\n for ver, pyvers in vers.items():\n if isinstance(pyvers, str):\n continue\n for pyver, release in pyvers.items():\n if isinstance(release, str):\n continue\n for key in ('setup_requires', 'install_requires'):\n if key in release:\n for line in release[key]:\n parse_or_ignore_line(line)\n if 'extras_require' in release:\n for extra, lines in release['extras_require'].items():\n for line in lines:\n parse_or_ignore_line(line)\n\n\ndef conda_channel_files():\n conda_data = environ.get('CONDA_DATA', None)\n if not conda_data:\n return []\n with open(conda_data) as f:\n data = json.load(f)\n for channel, files in data.items():\n for file in files:\n yield file\n\n\[email protected](conda_channel_files() == [], reason=\n 'no CONDA_DATA provided')\[email protected]('file', conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"<import token>\n\n\[email protected]('input, exp_output', [('requests', ('requests', (),\n None, None, None)), ('requests[socks] ==2.24.0', ('requests', ('socks',\n ), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests[socks,test] 2.24.0', ('requests', ('socks', 'test'), (\n SpecifierSet('==2.24.0'),), None, None)), ('python >=2.7,<2.8.0a0', (\n 'python', (), (SpecifierSet('>=2.7,<2.8.0a0'),), None, None)), (\n 'requests == 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),),\n None, None)), ('pdfminer.six == 20200726', ('pdfminer.six', (), (\n SpecifierSet('==20200726'),), None, None)), ('python>= 3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=2.6, !=3.0.*', (\n 'python', (), (SpecifierSet('>=2.6,!=3.0.*'),), None, None)), (\n \"unittest2 >=2.0,<3.0 ; python_version == '2.4' or python_version == '2.5'\"\n , ('unittest2', (), (SpecifierSet('>=2.0,<3.0'),), None,\n \"python_version == '2.4' or python_version == '2.5'\")), (\n \"pywin32 > 1.0 ; sys.platform == 'win32'\", ('pywin32', (), (\n SpecifierSet('>1.0'),), None, \"sys.platform == 'win32'\")), (\n \"certifi (==2016.9.26) ; extra == 'certs'\", ('certifi', ('certs',), (\n SpecifierSet('==2016.9.26'),), None, \"extra == 'certs'\")), (\n \"sphinx ; extra == 'docs'\", ('sphinx', ('docs',), None, None,\n \"extra == 'docs'\")), ('requests 2.24.0', ('requests', (), (SpecifierSet\n ('==2.24.0'),), None, None)), ('requests 2.24.0', ('requests', (), (\n SpecifierSet('==2.24.0'),), None, None)), ('requests 2.24.0', (\n 'requests', (), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None,\n None)), ('hdf5 >=1.10.5,<1.10.6.0a0 mpi_mpich_*', ('hdf5', (), (\n SpecifierSet('>=1.10.5,<1.10.6.0a0'),), 'mpi_mpich_*', None)), (\n 'blas 1.* openblas', ('blas', (), (SpecifierSet('==1.*'),), 'openblas',\n None)), ('blas * openblas', ('blas', (), (SpecifierSet('==*'),),\n 'openblas', None)), ('blas 1.1 openblas', ('blas', (), (SpecifierSet(\n '==1.1'),), 'openblas', None)), ('requests >=2.24.0 build123*', (\n 'requests', (), (SpecifierSet('>=2.24.0'),), 'build123*', None)), (\n 'requests ==2.24.* build123*', ('requests', (), (SpecifierSet(\n '==2.24.*'),), 'build123*', None)), ('requests 2.24.* build123*', (\n 'requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('requests 2.24.0 *bla', ('requests', (), (\n SpecifierSet('==2.24.0'),), '*bla', None)), ('requests 2.24.0 *', (\n 'requests', (), (SpecifierSet('==2.24.0'),), '*', None)), (\n 'requests * *bla', ('requests', (), (SpecifierSet('==*'),), '*bla',\n None)), ('requests * *', ('requests', (), (SpecifierSet('==*'),), '*',\n None)), ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet(\n '==2.24.0'),), 'build123*', None)), ('requests 2.24.0 build123*', (\n 'requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('ruamel.yaml >=0.12.4,<0.16|0.16.5.*', (\n 'ruamel.yaml', (), (SpecifierSet('>=0.12.4,<0.16'), SpecifierSet(\n '==0.16.5.*')), None, None)), ('openjdk =8|11', ('openjdk', (), (\n SpecifierSet('==8'), SpecifierSet('==11')), None, None)), (\n 'python 3.6.9 ab_73_pypy', ('python', (), (SpecifierSet('==3.6.9'),),\n 'ab_73_pypy', None)), ('gitpython >=3.0.8,3.0.*', ('gitpython', (), (\n SpecifierSet('>=3.0.8,==3.0.*'),), None, None)), (\n \"zest.releaser[recommended] ; extra == 'maintainer'\", ('zest.releaser',\n ('recommended', 'maintainer'), None, None, \"extra == 'maintainer'\")), (\n 'pytz (>dev)', ('pytz', (), (), None, None)), (\n 'libcurl 7.71.1 h20c2e04_1', ('libcurl', (), (SpecifierSet('==7.71.1'),\n ), 'h20c2e04_1', None)), ('ixmp ==0.1.3 1', ('ixmp', (), (SpecifierSet(\n '==0.1.3'),), '1', None))])\ndef test_parse_requirements(input, exp_output):\n assert parse_reqs_line(input) == exp_output\n\n\ndef parse_or_ignore_line(line):\n lineStripped = line.strip().replace(\"'\", '').replace('\"', '')\n if not len(lineStripped):\n return\n if line.startswith('#'):\n return\n unsupported = '@', '==='\n if any(x in lineStripped for x in unsupported):\n return\n try:\n Requirement(line)\n except Exception:\n return False\n parse_reqs_line(line)\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\[email protected]('error:.*LegacyVersion.*:DeprecationWarning')\[email protected]('bucket', LazyBucketDict.bucket_keys())\ndef test_parse_all_pypi_reqs(bucket):\n data_dir = environ.get('PYPI_DATA', default=None)\n data = LazyBucketDict(f'{data_dir}/sdist')\n for pname, vers in data.by_bucket(bucket).items():\n for ver, pyvers in vers.items():\n if isinstance(pyvers, str):\n continue\n for pyver, release in pyvers.items():\n if isinstance(release, str):\n continue\n for key in ('setup_requires', 'install_requires'):\n if key in release:\n for line in release[key]:\n parse_or_ignore_line(line)\n if 'extras_require' in release:\n for extra, lines in release['extras_require'].items():\n for line in lines:\n parse_or_ignore_line(line)\n\n\ndef conda_channel_files():\n conda_data = environ.get('CONDA_DATA', None)\n if not conda_data:\n return []\n with open(conda_data) as f:\n data = json.load(f)\n for channel, files in data.items():\n for file in files:\n yield file\n\n\[email protected](conda_channel_files() == [], reason=\n 'no CONDA_DATA provided')\[email protected]('file', conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"<import token>\n\n\[email protected]('input, exp_output', [('requests', ('requests', (),\n None, None, None)), ('requests[socks] ==2.24.0', ('requests', ('socks',\n ), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests[socks,test] 2.24.0', ('requests', ('socks', 'test'), (\n SpecifierSet('==2.24.0'),), None, None)), ('python >=2.7,<2.8.0a0', (\n 'python', (), (SpecifierSet('>=2.7,<2.8.0a0'),), None, None)), (\n 'requests == 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),),\n None, None)), ('pdfminer.six == 20200726', ('pdfminer.six', (), (\n SpecifierSet('==20200726'),), None, None)), ('python>= 3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=2.6, !=3.0.*', (\n 'python', (), (SpecifierSet('>=2.6,!=3.0.*'),), None, None)), (\n \"unittest2 >=2.0,<3.0 ; python_version == '2.4' or python_version == '2.5'\"\n , ('unittest2', (), (SpecifierSet('>=2.0,<3.0'),), None,\n \"python_version == '2.4' or python_version == '2.5'\")), (\n \"pywin32 > 1.0 ; sys.platform == 'win32'\", ('pywin32', (), (\n SpecifierSet('>1.0'),), None, \"sys.platform == 'win32'\")), (\n \"certifi (==2016.9.26) ; extra == 'certs'\", ('certifi', ('certs',), (\n SpecifierSet('==2016.9.26'),), None, \"extra == 'certs'\")), (\n \"sphinx ; extra == 'docs'\", ('sphinx', ('docs',), None, None,\n \"extra == 'docs'\")), ('requests 2.24.0', ('requests', (), (SpecifierSet\n ('==2.24.0'),), None, None)), ('requests 2.24.0', ('requests', (), (\n SpecifierSet('==2.24.0'),), None, None)), ('requests 2.24.0', (\n 'requests', (), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None,\n None)), ('hdf5 >=1.10.5,<1.10.6.0a0 mpi_mpich_*', ('hdf5', (), (\n SpecifierSet('>=1.10.5,<1.10.6.0a0'),), 'mpi_mpich_*', None)), (\n 'blas 1.* openblas', ('blas', (), (SpecifierSet('==1.*'),), 'openblas',\n None)), ('blas * openblas', ('blas', (), (SpecifierSet('==*'),),\n 'openblas', None)), ('blas 1.1 openblas', ('blas', (), (SpecifierSet(\n '==1.1'),), 'openblas', None)), ('requests >=2.24.0 build123*', (\n 'requests', (), (SpecifierSet('>=2.24.0'),), 'build123*', None)), (\n 'requests ==2.24.* build123*', ('requests', (), (SpecifierSet(\n '==2.24.*'),), 'build123*', None)), ('requests 2.24.* build123*', (\n 'requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('requests 2.24.0 *bla', ('requests', (), (\n SpecifierSet('==2.24.0'),), '*bla', None)), ('requests 2.24.0 *', (\n 'requests', (), (SpecifierSet('==2.24.0'),), '*', None)), (\n 'requests * *bla', ('requests', (), (SpecifierSet('==*'),), '*bla',\n None)), ('requests * *', ('requests', (), (SpecifierSet('==*'),), '*',\n None)), ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet(\n '==2.24.0'),), 'build123*', None)), ('requests 2.24.0 build123*', (\n 'requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('ruamel.yaml >=0.12.4,<0.16|0.16.5.*', (\n 'ruamel.yaml', (), (SpecifierSet('>=0.12.4,<0.16'), SpecifierSet(\n '==0.16.5.*')), None, None)), ('openjdk =8|11', ('openjdk', (), (\n SpecifierSet('==8'), SpecifierSet('==11')), None, None)), (\n 'python 3.6.9 ab_73_pypy', ('python', (), (SpecifierSet('==3.6.9'),),\n 'ab_73_pypy', None)), ('gitpython >=3.0.8,3.0.*', ('gitpython', (), (\n SpecifierSet('>=3.0.8,==3.0.*'),), None, None)), (\n \"zest.releaser[recommended] ; extra == 'maintainer'\", ('zest.releaser',\n ('recommended', 'maintainer'), None, None, \"extra == 'maintainer'\")), (\n 'pytz (>dev)', ('pytz', (), (), None, None)), (\n 'libcurl 7.71.1 h20c2e04_1', ('libcurl', (), (SpecifierSet('==7.71.1'),\n ), 'h20c2e04_1', None)), ('ixmp ==0.1.3 1', ('ixmp', (), (SpecifierSet(\n '==0.1.3'),), '1', None))])\ndef test_parse_requirements(input, exp_output):\n assert parse_reqs_line(input) == exp_output\n\n\n<function token>\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\[email protected]('error:.*LegacyVersion.*:DeprecationWarning')\[email protected]('bucket', LazyBucketDict.bucket_keys())\ndef test_parse_all_pypi_reqs(bucket):\n data_dir = environ.get('PYPI_DATA', default=None)\n data = LazyBucketDict(f'{data_dir}/sdist')\n for pname, vers in data.by_bucket(bucket).items():\n for ver, pyvers in vers.items():\n if isinstance(pyvers, str):\n continue\n for pyver, release in pyvers.items():\n if isinstance(release, str):\n continue\n for key in ('setup_requires', 'install_requires'):\n if key in release:\n for line in release[key]:\n parse_or_ignore_line(line)\n if 'extras_require' in release:\n for extra, lines in release['extras_require'].items():\n for line in lines:\n parse_or_ignore_line(line)\n\n\ndef conda_channel_files():\n conda_data = environ.get('CONDA_DATA', None)\n if not conda_data:\n return []\n with open(conda_data) as f:\n data = json.load(f)\n for channel, files in data.items():\n for file in files:\n yield file\n\n\[email protected](conda_channel_files() == [], reason=\n 'no CONDA_DATA provided')\[email protected]('file', conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"<import token>\n\n\[email protected]('input, exp_output', [('requests', ('requests', (),\n None, None, None)), ('requests[socks] ==2.24.0', ('requests', ('socks',\n ), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests[socks,test] 2.24.0', ('requests', ('socks', 'test'), (\n SpecifierSet('==2.24.0'),), None, None)), ('python >=2.7,<2.8.0a0', (\n 'python', (), (SpecifierSet('>=2.7,<2.8.0a0'),), None, None)), (\n 'requests == 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),),\n None, None)), ('pdfminer.six == 20200726', ('pdfminer.six', (), (\n SpecifierSet('==20200726'),), None, None)), ('python>= 3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=3.5', ('python',\n (), (SpecifierSet('>=3.5'),), None, None)), ('python >=2.6, !=3.0.*', (\n 'python', (), (SpecifierSet('>=2.6,!=3.0.*'),), None, None)), (\n \"unittest2 >=2.0,<3.0 ; python_version == '2.4' or python_version == '2.5'\"\n , ('unittest2', (), (SpecifierSet('>=2.0,<3.0'),), None,\n \"python_version == '2.4' or python_version == '2.5'\")), (\n \"pywin32 > 1.0 ; sys.platform == 'win32'\", ('pywin32', (), (\n SpecifierSet('>1.0'),), None, \"sys.platform == 'win32'\")), (\n \"certifi (==2016.9.26) ; extra == 'certs'\", ('certifi', ('certs',), (\n SpecifierSet('==2016.9.26'),), None, \"extra == 'certs'\")), (\n \"sphinx ; extra == 'docs'\", ('sphinx', ('docs',), None, None,\n \"extra == 'docs'\")), ('requests 2.24.0', ('requests', (), (SpecifierSet\n ('==2.24.0'),), None, None)), ('requests 2.24.0', ('requests', (), (\n SpecifierSet('==2.24.0'),), None, None)), ('requests 2.24.0', (\n 'requests', (), (SpecifierSet('==2.24.0'),), None, None)), (\n 'requests 2.24.0', ('requests', (), (SpecifierSet('==2.24.0'),), None,\n None)), ('hdf5 >=1.10.5,<1.10.6.0a0 mpi_mpich_*', ('hdf5', (), (\n SpecifierSet('>=1.10.5,<1.10.6.0a0'),), 'mpi_mpich_*', None)), (\n 'blas 1.* openblas', ('blas', (), (SpecifierSet('==1.*'),), 'openblas',\n None)), ('blas * openblas', ('blas', (), (SpecifierSet('==*'),),\n 'openblas', None)), ('blas 1.1 openblas', ('blas', (), (SpecifierSet(\n '==1.1'),), 'openblas', None)), ('requests >=2.24.0 build123*', (\n 'requests', (), (SpecifierSet('>=2.24.0'),), 'build123*', None)), (\n 'requests ==2.24.* build123*', ('requests', (), (SpecifierSet(\n '==2.24.*'),), 'build123*', None)), ('requests 2.24.* build123*', (\n 'requests', (), (SpecifierSet('==2.24.*'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('requests 2.24.0 *bla', ('requests', (), (\n SpecifierSet('==2.24.0'),), '*bla', None)), ('requests 2.24.0 *', (\n 'requests', (), (SpecifierSet('==2.24.0'),), '*', None)), (\n 'requests * *bla', ('requests', (), (SpecifierSet('==*'),), '*bla',\n None)), ('requests * *', ('requests', (), (SpecifierSet('==*'),), '*',\n None)), ('requests 2.24.0 build123*', ('requests', (), (SpecifierSet(\n '==2.24.0'),), 'build123*', None)), ('requests 2.24.0 build123*', (\n 'requests', (), (SpecifierSet('==2.24.0'),), 'build123*', None)), (\n 'requests 2.24.0 build123*', ('requests', (), (SpecifierSet('==2.24.0')\n ,), 'build123*', None)), ('ruamel.yaml >=0.12.4,<0.16|0.16.5.*', (\n 'ruamel.yaml', (), (SpecifierSet('>=0.12.4,<0.16'), SpecifierSet(\n '==0.16.5.*')), None, None)), ('openjdk =8|11', ('openjdk', (), (\n SpecifierSet('==8'), SpecifierSet('==11')), None, None)), (\n 'python 3.6.9 ab_73_pypy', ('python', (), (SpecifierSet('==3.6.9'),),\n 'ab_73_pypy', None)), ('gitpython >=3.0.8,3.0.*', ('gitpython', (), (\n SpecifierSet('>=3.0.8,==3.0.*'),), None, None)), (\n \"zest.releaser[recommended] ; extra == 'maintainer'\", ('zest.releaser',\n ('recommended', 'maintainer'), None, None, \"extra == 'maintainer'\")), (\n 'pytz (>dev)', ('pytz', (), (), None, None)), (\n 'libcurl 7.71.1 h20c2e04_1', ('libcurl', (), (SpecifierSet('==7.71.1'),\n ), 'h20c2e04_1', None)), ('ixmp ==0.1.3 1', ('ixmp', (), (SpecifierSet(\n '==0.1.3'),), '1', None))])\ndef test_parse_requirements(input, exp_output):\n assert parse_reqs_line(input) == exp_output\n\n\n<function token>\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\[email protected]('error:.*LegacyVersion.*:DeprecationWarning')\[email protected]('bucket', LazyBucketDict.bucket_keys())\ndef test_parse_all_pypi_reqs(bucket):\n data_dir = environ.get('PYPI_DATA', default=None)\n data = LazyBucketDict(f'{data_dir}/sdist')\n for pname, vers in data.by_bucket(bucket).items():\n for ver, pyvers in vers.items():\n if isinstance(pyvers, str):\n continue\n for pyver, release in pyvers.items():\n if isinstance(release, str):\n continue\n for key in ('setup_requires', 'install_requires'):\n if key in release:\n for line in release[key]:\n parse_or_ignore_line(line)\n if 'extras_require' in release:\n for extra, lines in release['extras_require'].items():\n for line in lines:\n parse_or_ignore_line(line)\n\n\n<function token>\n\n\[email protected](conda_channel_files() == [], reason=\n 'no CONDA_DATA provided')\[email protected]('file', conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"<import token>\n<function token>\n<function token>\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\[email protected]('error:.*LegacyVersion.*:DeprecationWarning')\[email protected]('bucket', LazyBucketDict.bucket_keys())\ndef test_parse_all_pypi_reqs(bucket):\n data_dir = environ.get('PYPI_DATA', default=None)\n data = LazyBucketDict(f'{data_dir}/sdist')\n for pname, vers in data.by_bucket(bucket).items():\n for ver, pyvers in vers.items():\n if isinstance(pyvers, str):\n continue\n for pyver, release in pyvers.items():\n if isinstance(release, str):\n continue\n for key in ('setup_requires', 'install_requires'):\n if key in release:\n for line in release[key]:\n parse_or_ignore_line(line)\n if 'extras_require' in release:\n for extra, lines in release['extras_require'].items():\n for line in lines:\n parse_or_ignore_line(line)\n\n\n<function token>\n\n\[email protected](conda_channel_files() == [], reason=\n 'no CONDA_DATA provided')\[email protected]('file', conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"<import token>\n<function token>\n<function token>\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\n<function token>\n<function token>\n\n\[email protected](conda_channel_files() == [], reason=\n 'no CONDA_DATA provided')\[email protected]('file', conda_channel_files())\ndef test_parse_all_conda_reqs(file):\n with open(file) as f:\n cdata = json.load(f)\n for pname, pdata in cdata['packages'].items():\n for line in pdata['depends']:\n parse_or_ignore_line_conda(line)\n",
"<import token>\n<function token>\n<function token>\n\n\ndef parse_or_ignore_line_conda(line):\n lineStripped = line\n if any(lineStripped.startswith(x) for x in []):\n return\n if any(lineStripped.endswith(x) for x in []):\n return\n if any(x in lineStripped for x in ['blas *.* mkl']):\n return\n parse_reqs_line(line)\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,748 |
d7dab5c8a8de5c11f247aab38c8e3f9f5b86cc7c
|
# import confidparser to read
# 'config.ini' file and obtain
# the required data
import configparser
import io
# loading config file
config = configparser.ConfigParser()
config.read('config.ini')
host = config['mongo']['host']
db = config['mongo']['db']
collection = config['mongo']['collection']
bus_id = config['mongo']['busid']
|
[
"# import confidparser to read\n# 'config.ini' file and obtain\n# the required data\nimport configparser\nimport io\n\n\n# loading config file\nconfig = configparser.ConfigParser()\nconfig.read('config.ini')\n\nhost\t\t= config['mongo']['host']\ndb \t= config['mongo']['db']\ncollection\t= config['mongo']['collection']\nbus_id\t\t= config['mongo']['busid']\n",
"import configparser\nimport io\nconfig = configparser.ConfigParser()\nconfig.read('config.ini')\nhost = config['mongo']['host']\ndb = config['mongo']['db']\ncollection = config['mongo']['collection']\nbus_id = config['mongo']['busid']\n",
"<import token>\nconfig = configparser.ConfigParser()\nconfig.read('config.ini')\nhost = config['mongo']['host']\ndb = config['mongo']['db']\ncollection = config['mongo']['collection']\nbus_id = config['mongo']['busid']\n",
"<import token>\n<assignment token>\nconfig.read('config.ini')\n<assignment token>\n",
"<import token>\n<assignment token>\n<code token>\n<assignment token>\n"
] | false |
98,749 |
48f0bf643f8a3040f5e62285af556cb6605fb06b
|
from collections import Counter
import random
import copy as copyModule
import math
import numpy as np
def soujou(xs):
re = 1
for x in xs:
re *= x
return re
#utils
def eq_list(xs, ys):
xc = Counter(xs)
yc = Counter(ys)
xc.subtract(yc)
zs = list(xc.elements())
return len(zs)==0
def diff_list(univ, see, assume_included=True):
diff = list(univ)
for x in see:
if assume_included:
diff.remove(x)
else:
if x in diff:
diff.remove(x)
return diff
def intersection_list(xs, ys):
xc = Counter(xs)
yc = Counter(ys)
zc = xc & yc
zs = list(zc.elements())
return zs
def floor_half_list(xs):
xc = Counter(xs)
ys = []
for x,c in xc.items():
for _ in range(c // 2):
ys.append(x)
return ys
def indexs_duplable_front(univ, see):
temp = list(univ)
res = []
for x in see:
i = temp.index(x)
res.append(i)
temp[i] = None
return res
def indexs_duplable_back(univ, see):
temp = list(reversed(univ))
res = []
for x in see:
i = temp.index(x)
res.append(len(univ)-1-i)
temp[i] = None
return res
def more_popped_list(xs, xis):
xs = list(xs)
for xi in xis:
xs[xi] = None
xs = [x for x in xs if x is not None]
return xs
#label covering methods
#label :== string | tuple[label]
def is_type_label(label):
if isinstance(label, tuple):
return all((is_type_label(x) for x in label))
return isinstance(label, str)
def is_type_labels(labels):
return all((is_type_label(x) for x in labels))
def normarg_labels(labels):
if isinstance(labels, list):
return labels
else:
return [labels]
def unique_label():
return "".join(random.choices("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ",k=8))
def aster_label(label):
if type(label)==tuple:
return tuple(aster_label(x) for x in label)
else:
return label+"*"
def unaster_label(label):
if type(label)==tuple:
return tuple(unaster_label(x) for x in label)
else:
if label[-1] == "*":
return label[:-1]
else:
return label
def prime_label(label):
if type(label)==tuple:
return tuple(prime_label(x) for x in label)
else:
return label+"'"
def unprime_label(label):
if type(label)==tuple:
return tuple(unaster_label(x) for x in label)
else:
if label[-1] == "'":
return label[:-1]
else:
return label
def aster_labels(labels):
return [aster_label(label) for label in labels]
def unaster_labels(labels):
return [unaster_label(label) for label in labels]
def prime_labels(labels):
return [prime_label(label) for label in labels]
def unprime_labels(labels):
return [unprime_label(label) for label in labels]
class CyclicList(list):
def __init__(self, *args, **kwargs):
list.__init__(self, *args, **kwargs)
def __repr__(self):
return "CyclicList("+list.__repr__(self)+")"
def __str__(self):
return "CyclicList("+list.__repr__(self)+")"
def __getitem__(self, i):
return list.__getitem__(self, i%len(self))
def __setitem__(self, i, v):
return list.__setitem__(self, i%len(self), v)
class CollateralBool:
def __init__(self, trueOrFalse, expression=None):
self.trueOrFalse = bool(trueOrFalse)
if expression is None: expression = {}
self.expression = expression
def __bool__(self):
return self.trueOrFalse
def __and__(x,y):
return CollateralBool(x.trueOrFalse and y.trueOrFalse, {"op":"and", "left":x.expression, "right":y.expression})
def __or__(x,y):
return CollateralBool(x.trueOrFalse or y.trueOrFalse, {"op":"or", "left":x.expression, "right":y.expression})
def __repr__(self):
return f"{self.trueOrFalse}({self.expression})" #f"CollateralBool({self.trueOrFalse}, {self.expression})"
def __str__(self):
return f"{self.trueOrFalse}({self.expression})"
def __getitem__(self, arg):
return self.expression[arg]
class ExpFloat:
def __init__(self, *args):
if len(args)==1:
moto = args[0]
if moto == 0:
self.sign = 0
self.ent = -float("inf")
elif type(moto)==ExpFloat:
self.sign = moto.sign
self.ent = moto.ent
elif type(moto)==complex:
nrm = abs(moto)
self.sign = moto / nrm
self.ent = math.log(nrm)
elif moto > 0:
self.sign = 1
self.ent = math.log(moto)
else:
self.sign = -1
self.ent = math.log(-moto)
elif len(args)==2:
self.sign = args[0]
self.ent = args[1]
def __str__(self):
if self.sign == 0:
return f"0.0"
elif type(self.sign)==complex:
return f"({self.sign})*exp({self.ent})"
elif self.sign == 1:
return f"exp({self.ent})"
else:
return f"-exp({self.ent})"
def __repr__(self):
return f"ExpFloat({repr(self.sign)},{repr(self.ent)})"
@property
def value(self):
return self.sign * math.exp(self.ent)
@property
def log(self):
return self.ent
@property
def real(self):
if type(self.sign)==complex:
return ExpFloat(self.sign.real) * abs(self)
else:
return ExpFloat(self.sign) * abs(self)
@property
def imag(self):
if type(self.sign)==complex:
return ExpFloat(self.sign.imag) * abs(self)
else:
return ExpFloat(0.0)
def __abs__(self):
if self.sign == 0:
return ExpFloat(0.0)
else:
return ExpFloat(1, self.ent)
def __eq__(self, other):
d = abs(self - other)
return d.sign == 0 or d.ent < -15
def __lt__(self, other):
if type(other)==ExpFloat:
if self.sign < other.sign:
return True
if self.sign > other.sign:
return False
if self.sign == 0:
return False
elif self.sign == 1:
return self.ent < other.ent
else:
return self.ent > other.ent
else:
return self < ExpFloat(other)
def __gt__(self, other):
if type(other)==ExpFloat:
if self.sign > other.sign:
return True
if self.sign < other.sign:
return False
if self.sign == 0:
return False
elif self.sign == 1:
return self.ent > other.ent
else:
return self.ent < other.ent
else:
return self > ExpFloat(other)
def __mul__(self, other):
if type(other)==ExpFloat:
return ExpFloat(self.sign * other.sign, self.ent + other.ent)
else:
return self * ExpFloat(other)
def __rmul__(self, other):
return self * other
def __truediv__(self, other):
if type(other)==ExpFloat:
return ExpFloat(self.sign / other.sign, self.ent - other.ent)
else:
return self / ExpFloat(other)
def __neg__(self):
return ExpFloat(-self.sign, self.ent)
def __add__(self, other):
if type(other)==ExpFloat:
if type(self.sign)==complex or type(other.sign)==complex:
return ef_complex(self.real+other.real, self.imag+other.imag)
if other.sign == 0:
return self
elif self.sign == 0:
return other
elif self.sign == 1 and other.sign == -1:
return self - (-other)
elif self.sign == -1 and other.sign == 1:
return other - (-self)
elif self.sign == -1 and other.sign == -1:
return -( (-self) + (-other) )
# exp(a)+exp(b) = exp(a) * (1 + exp(b-a))
# log(exp(a)+exp(b)) = a + log(1 + exp(b-a))
if self < other:
self,other = other,self
a = self.ent
b = other.ent
c = a + np.log1p(math.exp(b-a))
return ExpFloat(1,c)
else:
return self + ExpFloat(other)
def __sub__(self, other):
if type(other)==ExpFloat:
if type(self.sign)==complex or type(other.sign)==complex:
return ef_complex(self.real-other.real, self.imag-other.imag)
if other.sign == 0:
return self
elif self.sign == 0:
return -other
elif self.sign == 1 and other.sign == -1:
return self + (-other)
elif self.sign == -1 and other.sign == 1:
return -( (-self) + other )
elif self.sign == -1 and other.sign == -1:
return (-other) - (-self)
if self < other:
return -(other - self)
# exp(a)-exp(b) = exp(a) * (1 - exp(b-a))
# log(exp(a)-exp(b)) = a + log(1 - exp(b-a))
a = self.ent
b = other.ent
if b-a > -1e-15:
return ExpFloat(0.0)
c = a + np.log1p(-math.exp(b-a))
return ExpFloat(1,c)
else:
return self - ExpFloat(other)
def __pow__(self, k):
if self.sign==1:
return ExpFloat(1, self.ent*k)
elif self.sign==0:
if k>0:
return ExpFloat(0.0)
elif k==0:
return ExpFloat(1.0)
else:
raise ValueError
else:
if int(k) != k:
raise ValueError
else:
return ExpFloat(self.sign**k, self.ent*k)
def sqrt(self):
if self.sign==1:
return ExpFloat(1, self.ent/2)
elif self.sign==0:
return ExpFloat(0.0)
else:
raise ValueError
def ef_exp(k):
return ExpFloat(1,k)
def ef_pow(r,k):
return ExpFloat(r)**k
def ef_cosh(x):
return ( ef_exp(x) + ef_exp(-x) ) / 2
def ef_sinh(x):
return ( ef_exp(x) - ef_exp(-x) ) / 2
def ef_complex(x,y):
if type(x) == ExpFloat and type(y) == ExpFloat:
if x == 0 and y == 0:
return ExpFloat(0.0)
if x.ent >= y.ent:
r = x.sign + y.sign * math.exp(y.ent-x.ent) * 1.0j
r = ExpFloat(r)
r.ent += x.ent
return r
else:
r = x.sign * math.exp(x.ent-y.ent) + y.sign * 1.0j
r = ExpFloat(r)
r.ent += y.ent
return r
else:
return ef_complex(ExpFloat(x),ExpFloat(y))
|
[
"from collections import Counter\nimport random\nimport copy as copyModule\nimport math\nimport numpy as np\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n#utils\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs)==0\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n else:\n if x in diff:\n diff.remove(x)\n\n return diff\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x,c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\ndef indexs_duplable_back(univ, see):\n temp = list(reversed(univ))\n res = []\n for x in see:\n i = temp.index(x)\n res.append(len(univ)-1-i)\n temp[i] = None\n return res\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n#label covering methods\n#label :== string | tuple[label]\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all((is_type_label(x) for x in label))\n return isinstance(label, str)\n\ndef is_type_labels(labels):\n return all((is_type_label(x) for x in labels))\n\ndef normarg_labels(labels):\n if isinstance(labels, list):\n return labels\n else:\n return [labels]\n\ndef unique_label():\n return \"\".join(random.choices(\"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ\",k=8))\n\ndef aster_label(label):\n if type(label)==tuple:\n return tuple(aster_label(x) for x in label)\n else:\n return label+\"*\"\n\ndef unaster_label(label):\n if type(label)==tuple:\n return tuple(unaster_label(x) for x in label)\n else:\n if label[-1] == \"*\":\n return label[:-1]\n else:\n return label\n\ndef prime_label(label):\n if type(label)==tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label+\"'\"\n\ndef unprime_label(label):\n if type(label)==tuple:\n return tuple(unaster_label(x) for x in label)\n else:\n if label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\n\nclass CyclicList(list):\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n def __repr__(self):\n return \"CyclicList(\"+list.__repr__(self)+\")\"\n def __str__(self):\n return \"CyclicList(\"+list.__repr__(self)+\")\"\n def __getitem__(self, i):\n return list.__getitem__(self, i%len(self))\n def __setitem__(self, i, v):\n return list.__setitem__(self, i%len(self), v)\n\n\n\nclass CollateralBool:\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None: expression = {}\n self.expression = expression\n def __bool__(self):\n return self.trueOrFalse\n def __and__(x,y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {\"op\":\"and\", \"left\":x.expression, \"right\":y.expression})\n def __or__(x,y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {\"op\":\"or\", \"left\":x.expression, \"right\":y.expression})\n def __repr__(self):\n return f\"{self.trueOrFalse}({self.expression})\" #f\"CollateralBool({self.trueOrFalse}, {self.expression})\"\n def __str__(self):\n return f\"{self.trueOrFalse}({self.expression})\"\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\n\nclass ExpFloat:\n def __init__(self, *args):\n if len(args)==1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float(\"inf\")\n elif type(moto)==ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto)==complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args)==2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f\"0.0\"\n elif type(self.sign)==complex:\n return f\"({self.sign})*exp({self.ent})\"\n elif self.sign == 1:\n return f\"exp({self.ent})\"\n else:\n return f\"-exp({self.ent})\"\n\n def __repr__(self):\n return f\"ExpFloat({repr(self.sign)},{repr(self.ent)})\"\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign)==complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign)==complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other)==ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other)==ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other)==ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other)==ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other)==ExpFloat:\n if type(self.sign)==complex or type(other.sign)==complex:\n return ef_complex(self.real+other.real, self.imag+other.imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - (-other)\n elif self.sign == -1 and other.sign == 1:\n return other - (-self)\n elif self.sign == -1 and other.sign == -1:\n return -( (-self) + (-other) )\n\n # exp(a)+exp(b) = exp(a) * (1 + exp(b-a))\n # log(exp(a)+exp(b)) = a + log(1 + exp(b-a))\n if self < other:\n self,other = other,self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b-a))\n return ExpFloat(1,c)\n\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other)==ExpFloat:\n if type(self.sign)==complex or type(other.sign)==complex:\n return ef_complex(self.real-other.real, self.imag-other.imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + (-other)\n elif self.sign == -1 and other.sign == 1:\n return -( (-self) + other )\n elif self.sign == -1 and other.sign == -1:\n return (-other) - (-self)\n\n if self < other:\n return -(other - self)\n\n # exp(a)-exp(b) = exp(a) * (1 - exp(b-a))\n # log(exp(a)-exp(b)) = a + log(1 - exp(b-a))\n a = self.ent\n b = other.ent\n if b-a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b-a))\n return ExpFloat(1,c)\n\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign==1:\n return ExpFloat(1, self.ent*k)\n elif self.sign==0:\n if k>0:\n return ExpFloat(0.0)\n elif k==0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n else:\n if int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign**k, self.ent*k)\n\n def sqrt(self):\n if self.sign==1:\n return ExpFloat(1, self.ent/2)\n elif self.sign==0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1,k)\n\ndef ef_pow(r,k):\n return ExpFloat(r)**k\n\ndef ef_cosh(x):\n return ( ef_exp(x) + ef_exp(-x) ) / 2\n\ndef ef_sinh(x):\n return ( ef_exp(x) - ef_exp(-x) ) / 2\n\ndef ef_complex(x,y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent-x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent-y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x),ExpFloat(y))\n\n\n\n",
"from collections import Counter\nimport random\nimport copy as copyModule\nimport math\nimport numpy as np\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\ndef indexs_duplable_back(univ, see):\n temp = list(reversed(univ))\n res = []\n for x in see:\n i = temp.index(x)\n res.append(len(univ) - 1 - i)\n temp[i] = None\n return res\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\ndef normarg_labels(labels):\n if isinstance(labels, list):\n return labels\n else:\n return [labels]\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\ndef aster_label(label):\n if type(label) == tuple:\n return tuple(aster_label(x) for x in label)\n else:\n return label + '*'\n\n\ndef unaster_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == '*':\n return label[:-1]\n else:\n return label\n\n\ndef prime_label(label):\n if type(label) == tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label + \"'\"\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\ndef indexs_duplable_back(univ, see):\n temp = list(reversed(univ))\n res = []\n for x in see:\n i = temp.index(x)\n res.append(len(univ) - 1 - i)\n temp[i] = None\n return res\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\ndef normarg_labels(labels):\n if isinstance(labels, list):\n return labels\n else:\n return [labels]\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\ndef aster_label(label):\n if type(label) == tuple:\n return tuple(aster_label(x) for x in label)\n else:\n return label + '*'\n\n\ndef unaster_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == '*':\n return label[:-1]\n else:\n return label\n\n\ndef prime_label(label):\n if type(label) == tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label + \"'\"\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\ndef normarg_labels(labels):\n if isinstance(labels, list):\n return labels\n else:\n return [labels]\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\ndef aster_label(label):\n if type(label) == tuple:\n return tuple(aster_label(x) for x in label)\n else:\n return label + '*'\n\n\ndef unaster_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == '*':\n return label[:-1]\n else:\n return label\n\n\ndef prime_label(label):\n if type(label) == tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label + \"'\"\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\ndef normarg_labels(labels):\n if isinstance(labels, list):\n return labels\n else:\n return [labels]\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\ndef aster_label(label):\n if type(label) == tuple:\n return tuple(aster_label(x) for x in label)\n else:\n return label + '*'\n\n\n<function token>\n\n\ndef prime_label(label):\n if type(label) == tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label + \"'\"\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\ndef normarg_labels(labels):\n if isinstance(labels, list):\n return labels\n else:\n return [labels]\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n\n\ndef prime_label(label):\n if type(label) == tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label + \"'\"\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n\n\ndef prime_label(label):\n if type(label) == tuple:\n return tuple(prime_label(x) for x in label)\n else:\n return label + \"'\"\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\ndef aster_labels(labels):\n return [aster_label(label) for label in labels]\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\ndef indexs_duplable_front(univ, see):\n temp = list(univ)\n res = []\n for x in see:\n i = temp.index(x)\n res.append(i)\n temp[i] = None\n return res\n\n\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\ndef ef_cosh(x):\n return (ef_exp(x) + ef_exp(-x)) / 2\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\ndef eq_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n xc.subtract(yc)\n zs = list(xc.elements())\n return len(zs) == 0\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n\n\ndef unique_label():\n return ''.join(random.choices(\n 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ', k=8))\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\ndef ef_exp(k):\n return ExpFloat(1, k)\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\ndef is_type_labels(labels):\n return all(is_type_label(x) for x in labels)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\ndef floor_half_list(xs):\n xc = Counter(xs)\n ys = []\n for x, c in xc.items():\n for _ in range(c // 2):\n ys.append(x)\n return ys\n\n\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\ndef is_type_label(label):\n if isinstance(label, tuple):\n return all(is_type_label(x) for x in label)\n return isinstance(label, str)\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\ndef ef_complex(x, y):\n if type(x) == ExpFloat and type(y) == ExpFloat:\n if x == 0 and y == 0:\n return ExpFloat(0.0)\n if x.ent >= y.ent:\n r = x.sign + y.sign * math.exp(y.ent - x.ent) * 1.0j\n r = ExpFloat(r)\n r.ent += x.ent\n return r\n else:\n r = x.sign * math.exp(x.ent - y.ent) + y.sign * 1.0j\n r = ExpFloat(r)\n r.ent += y.ent\n return r\n else:\n return ef_complex(ExpFloat(x), ExpFloat(y))\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\ndef intersection_list(xs, ys):\n xc = Counter(xs)\n yc = Counter(ys)\n zc = xc & yc\n zs = list(zc.elements())\n return zs\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\n<function token>\n",
"<import token>\n\n\ndef soujou(xs):\n re = 1\n for x in xs:\n re *= x\n return re\n\n\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\n<function token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\ndef unprime_labels(labels):\n return [unprime_label(label) for label in labels]\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\n<function token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n\n\ndef ef_sinh(x):\n return (ef_exp(x) - ef_exp(-x)) / 2\n\n\n<function token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n\n\ndef unaster_labels(labels):\n return [unaster_label(label) for label in labels]\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef more_popped_list(xs, xis):\n xs = list(xs)\n for xi in xis:\n xs[xi] = None\n xs = [x for x in xs if x is not None]\n return xs\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n<function token>\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef diff_list(univ, see, assume_included=True):\n diff = list(univ)\n for x in see:\n if assume_included:\n diff.remove(x)\n elif x in diff:\n diff.remove(x)\n return diff\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n<function token>\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n<function token>\n\n\ndef prime_labels(labels):\n return [prime_label(label) for label in labels]\n\n\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef unprime_label(label):\n if type(label) == tuple:\n return tuple(unaster_label(x) for x in label)\n elif label[-1] == \"'\":\n return label[:-1]\n else:\n return label\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n\n\ndef ef_pow(r, k):\n return ExpFloat(r) ** k\n\n\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n\n def __repr__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n <function token>\n\n def __str__(self):\n return 'CyclicList(' + list.__repr__(self) + ')'\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n <function token>\n <function token>\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n\n def __setitem__(self, i, v):\n return list.__setitem__(self, i % len(self), v)\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n\n def __init__(self, *args, **kwargs):\n list.__init__(self, *args, **kwargs)\n <function token>\n <function token>\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n <function token>\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n <function token>\n <function token>\n <function token>\n\n def __getitem__(self, i):\n return list.__getitem__(self, i % len(self))\n <function token>\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n\n\nclass CyclicList(list):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n\n def __or__(x, y):\n return CollateralBool(x.trueOrFalse or y.trueOrFalse, {'op': 'or',\n 'left': x.expression, 'right': y.expression})\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n\n def __init__(self, trueOrFalse, expression=None):\n self.trueOrFalse = bool(trueOrFalse)\n if expression is None:\n expression = {}\n self.expression = expression\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n <function token>\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n <function token>\n\n def __bool__(self):\n return self.trueOrFalse\n\n def __and__(x, y):\n return CollateralBool(x.trueOrFalse and y.trueOrFalse, {'op': 'and',\n 'left': x.expression, 'right': y.expression})\n <function token>\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n <function token>\n\n def __bool__(self):\n return self.trueOrFalse\n <function token>\n <function token>\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __str__(self):\n return f'{self.trueOrFalse}({self.expression})'\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n <function token>\n\n def __bool__(self):\n return self.trueOrFalse\n <function token>\n <function token>\n\n def __repr__(self):\n return f'{self.trueOrFalse}({self.expression})'\n <function token>\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n <function token>\n\n def __bool__(self):\n return self.trueOrFalse\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __getitem__(self, arg):\n return self.expression[arg]\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n <function token>\n\n def __bool__(self):\n return self.trueOrFalse\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n\n\nclass CollateralBool:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n\n def __lt__(self, other):\n if type(other) == ExpFloat:\n if self.sign < other.sign:\n return True\n if self.sign > other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent < other.ent\n else:\n return self.ent > other.ent\n else:\n return self < ExpFloat(other)\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n <function token>\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n\n def __neg__(self):\n return ExpFloat(-self.sign, self.ent)\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n\n @property\n def real(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.real) * abs(self)\n else:\n return ExpFloat(self.sign) * abs(self)\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n <function token>\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n <function token>\n\n def __gt__(self, other):\n if type(other) == ExpFloat:\n if self.sign > other.sign:\n return True\n if self.sign < other.sign:\n return False\n if self.sign == 0:\n return False\n elif self.sign == 1:\n return self.ent > other.ent\n else:\n return self.ent < other.ent\n else:\n return self > ExpFloat(other)\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n\n def __add__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real + other.real, self.imag + other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return other\n elif self.sign == 1 and other.sign == -1:\n return self - -other\n elif self.sign == -1 and other.sign == 1:\n return other - -self\n elif self.sign == -1 and other.sign == -1:\n return -(-self + -other)\n if self < other:\n self, other = other, self\n a = self.ent\n b = other.ent\n c = a + np.log1p(math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self + ExpFloat(other)\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n\n @property\n def value(self):\n return self.sign * math.exp(self.ent)\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n\n def __eq__(self, other):\n d = abs(self - other)\n return d.sign == 0 or d.ent < -15\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n\n def sqrt(self):\n if self.sign == 1:\n return ExpFloat(1, self.ent / 2)\n elif self.sign == 0:\n return ExpFloat(0.0)\n else:\n raise ValueError\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n\n def __repr__(self):\n return f'ExpFloat({repr(self.sign)},{repr(self.ent)})'\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n\n def __pow__(self, k):\n if self.sign == 1:\n return ExpFloat(1, self.ent * k)\n elif self.sign == 0:\n if k > 0:\n return ExpFloat(0.0)\n elif k == 0:\n return ExpFloat(1.0)\n else:\n raise ValueError\n elif int(k) != k:\n raise ValueError\n else:\n return ExpFloat(self.sign ** k, self.ent * k)\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n\n def __str__(self):\n if self.sign == 0:\n return f'0.0'\n elif type(self.sign) == complex:\n return f'({self.sign})*exp({self.ent})'\n elif self.sign == 1:\n return f'exp({self.ent})'\n else:\n return f'-exp({self.ent})'\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n <function token>\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n\n def __sub__(self, other):\n if type(other) == ExpFloat:\n if type(self.sign) == complex or type(other.sign) == complex:\n return ef_complex(self.real - other.real, self.imag - other\n .imag)\n if other.sign == 0:\n return self\n elif self.sign == 0:\n return -other\n elif self.sign == 1 and other.sign == -1:\n return self + -other\n elif self.sign == -1 and other.sign == 1:\n return -(-self + other)\n elif self.sign == -1 and other.sign == -1:\n return -other - -self\n if self < other:\n return -(other - self)\n a = self.ent\n b = other.ent\n if b - a > -1e-15:\n return ExpFloat(0.0)\n c = a + np.log1p(-math.exp(b - a))\n return ExpFloat(1, c)\n else:\n return self - ExpFloat(other)\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n <function token>\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n\n def __rmul__(self, other):\n return self * other\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n <function token>\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n <function token>\n\n def __truediv__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign / other.sign, self.ent - other.ent)\n else:\n return self / ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n <function token>\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n\n def __abs__(self):\n if self.sign == 0:\n return ExpFloat(0.0)\n else:\n return ExpFloat(1, self.ent)\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n <function token>\n <function token>\n <function token>\n\n @property\n def log(self):\n return self.ent\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n\n def __init__(self, *args):\n if len(args) == 1:\n moto = args[0]\n if moto == 0:\n self.sign = 0\n self.ent = -float('inf')\n elif type(moto) == ExpFloat:\n self.sign = moto.sign\n self.ent = moto.ent\n elif type(moto) == complex:\n nrm = abs(moto)\n self.sign = moto / nrm\n self.ent = math.log(nrm)\n elif moto > 0:\n self.sign = 1\n self.ent = math.log(moto)\n else:\n self.sign = -1\n self.ent = math.log(-moto)\n elif len(args) == 2:\n self.sign = args[0]\n self.ent = args[1]\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n @property\n def imag(self):\n if type(self.sign) == complex:\n return ExpFloat(self.sign.imag) * abs(self)\n else:\n return ExpFloat(0.0)\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n def __mul__(self, other):\n if type(other) == ExpFloat:\n return ExpFloat(self.sign * other.sign, self.ent + other.ent)\n else:\n return self * ExpFloat(other)\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n\n\nclass ExpFloat:\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<class token>\n<class token>\n<class token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,750 |
631bc861655ae4a2ef7ed7bb03be3dfb14fadd23
|
import os
# cassandra
from cassandra.cluster import Cluster
class CassandraConsumer:
CASSANDRA_NODE_IP = os.environ['CASSANDRA_CLUSTER_SEED_IP']
KEYSPACE = os.environ['KEYSPACE']
TABLE = 'Quotes'
cluster = Cluster([CASSANDRA_NODE_IP], port=int(os.environ['CASSANDRA_PORT']))
def __init__(self):
self.session = self.cluster.connect()
print('successfully connected to cassandra')
try:
self.session.execute("""
CREATE KEYSPACE IF NOT EXISTS %s
WITH replication = { 'class': 'NetworkTopologyStrategy', 'datacenter1' : 1, 'datacenter2' : 2}
""" % self.KEYSPACE)
except Exception:
print('Unable to create keyspace: {}'.format(self.KEYSPACE))
# log.info('Unable to create keyspace: {}'.format(self.KEYSPACE))
# log.info('Setting Keyspace')
self.session.set_keyspace(self.KEYSPACE)
self.session.execute("""
CREATE TABLE IF NOT EXISTS Quotes (
quoteId int,
minPrice float,
direct Boolean,
carrierIds int,
originId int,
destinationId int,
departureDate timestamp,
quoteDateTime timestamp,
PRIMARY KEY ((originId, destinationId), departureDate)
)
""")
# log.info('Table Quotes exists or has been created')
def insert_quotes(self, quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate,
quoteDateTime):
self.session.execute(
"INSERT INTO Quotes (quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime) VALUES (%s, %s, %s, %s, %s, %s, %s, %s)",
[quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime])
print("inserted event: ", quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate,
quoteDateTime)
|
[
"import os\n\n# cassandra\nfrom cassandra.cluster import Cluster\n\n\nclass CassandraConsumer:\n CASSANDRA_NODE_IP = os.environ['CASSANDRA_CLUSTER_SEED_IP']\n KEYSPACE = os.environ['KEYSPACE']\n TABLE = 'Quotes'\n cluster = Cluster([CASSANDRA_NODE_IP], port=int(os.environ['CASSANDRA_PORT']))\n\n def __init__(self):\n self.session = self.cluster.connect()\n print('successfully connected to cassandra')\n try:\n self.session.execute(\"\"\"\n CREATE KEYSPACE IF NOT EXISTS %s\n WITH replication = { 'class': 'NetworkTopologyStrategy', 'datacenter1' : 1, 'datacenter2' : 2}\n \"\"\" % self.KEYSPACE)\n except Exception:\n print('Unable to create keyspace: {}'.format(self.KEYSPACE))\n # log.info('Unable to create keyspace: {}'.format(self.KEYSPACE))\n\n # log.info('Setting Keyspace')\n self.session.set_keyspace(self.KEYSPACE)\n\n self.session.execute(\"\"\"\n CREATE TABLE IF NOT EXISTS Quotes (\n quoteId int,\n minPrice float,\n direct Boolean,\n carrierIds int,\n originId int,\n destinationId int,\n departureDate timestamp,\n quoteDateTime timestamp,\n PRIMARY KEY ((originId, destinationId), departureDate)\n )\n \"\"\")\n # log.info('Table Quotes exists or has been created')\n\n def insert_quotes(self, quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate,\n quoteDateTime):\n self.session.execute(\n \"INSERT INTO Quotes (quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime) VALUES (%s, %s, %s, %s, %s, %s, %s, %s)\",\n [quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime])\n print(\"inserted event: \", quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate,\n quoteDateTime)\n\n\n\n\n\n\n\n\n",
"import os\nfrom cassandra.cluster import Cluster\n\n\nclass CassandraConsumer:\n CASSANDRA_NODE_IP = os.environ['CASSANDRA_CLUSTER_SEED_IP']\n KEYSPACE = os.environ['KEYSPACE']\n TABLE = 'Quotes'\n cluster = Cluster([CASSANDRA_NODE_IP], port=int(os.environ[\n 'CASSANDRA_PORT']))\n\n def __init__(self):\n self.session = self.cluster.connect()\n print('successfully connected to cassandra')\n try:\n self.session.execute(\n \"\"\"\n CREATE KEYSPACE IF NOT EXISTS %s\n WITH replication = { 'class': 'NetworkTopologyStrategy', 'datacenter1' : 1, 'datacenter2' : 2}\n \"\"\"\n % self.KEYSPACE)\n except Exception:\n print('Unable to create keyspace: {}'.format(self.KEYSPACE))\n self.session.set_keyspace(self.KEYSPACE)\n self.session.execute(\n \"\"\"\n CREATE TABLE IF NOT EXISTS Quotes (\n quoteId int,\n minPrice float,\n direct Boolean,\n carrierIds int,\n originId int,\n destinationId int,\n departureDate timestamp,\n quoteDateTime timestamp,\n PRIMARY KEY ((originId, destinationId), departureDate)\n )\n \"\"\"\n )\n\n def insert_quotes(self, quoteId, minPrice, direct, carrierIds, originId,\n destinationId, departureDate, quoteDateTime):\n self.session.execute(\n 'INSERT INTO Quotes (quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime) VALUES (%s, %s, %s, %s, %s, %s, %s, %s)'\n , [quoteId, minPrice, direct, carrierIds, originId,\n destinationId, departureDate, quoteDateTime])\n print('inserted event: ', quoteId, minPrice, direct, carrierIds,\n originId, destinationId, departureDate, quoteDateTime)\n",
"<import token>\n\n\nclass CassandraConsumer:\n CASSANDRA_NODE_IP = os.environ['CASSANDRA_CLUSTER_SEED_IP']\n KEYSPACE = os.environ['KEYSPACE']\n TABLE = 'Quotes'\n cluster = Cluster([CASSANDRA_NODE_IP], port=int(os.environ[\n 'CASSANDRA_PORT']))\n\n def __init__(self):\n self.session = self.cluster.connect()\n print('successfully connected to cassandra')\n try:\n self.session.execute(\n \"\"\"\n CREATE KEYSPACE IF NOT EXISTS %s\n WITH replication = { 'class': 'NetworkTopologyStrategy', 'datacenter1' : 1, 'datacenter2' : 2}\n \"\"\"\n % self.KEYSPACE)\n except Exception:\n print('Unable to create keyspace: {}'.format(self.KEYSPACE))\n self.session.set_keyspace(self.KEYSPACE)\n self.session.execute(\n \"\"\"\n CREATE TABLE IF NOT EXISTS Quotes (\n quoteId int,\n minPrice float,\n direct Boolean,\n carrierIds int,\n originId int,\n destinationId int,\n departureDate timestamp,\n quoteDateTime timestamp,\n PRIMARY KEY ((originId, destinationId), departureDate)\n )\n \"\"\"\n )\n\n def insert_quotes(self, quoteId, minPrice, direct, carrierIds, originId,\n destinationId, departureDate, quoteDateTime):\n self.session.execute(\n 'INSERT INTO Quotes (quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime) VALUES (%s, %s, %s, %s, %s, %s, %s, %s)'\n , [quoteId, minPrice, direct, carrierIds, originId,\n destinationId, departureDate, quoteDateTime])\n print('inserted event: ', quoteId, minPrice, direct, carrierIds,\n originId, destinationId, departureDate, quoteDateTime)\n",
"<import token>\n\n\nclass CassandraConsumer:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __init__(self):\n self.session = self.cluster.connect()\n print('successfully connected to cassandra')\n try:\n self.session.execute(\n \"\"\"\n CREATE KEYSPACE IF NOT EXISTS %s\n WITH replication = { 'class': 'NetworkTopologyStrategy', 'datacenter1' : 1, 'datacenter2' : 2}\n \"\"\"\n % self.KEYSPACE)\n except Exception:\n print('Unable to create keyspace: {}'.format(self.KEYSPACE))\n self.session.set_keyspace(self.KEYSPACE)\n self.session.execute(\n \"\"\"\n CREATE TABLE IF NOT EXISTS Quotes (\n quoteId int,\n minPrice float,\n direct Boolean,\n carrierIds int,\n originId int,\n destinationId int,\n departureDate timestamp,\n quoteDateTime timestamp,\n PRIMARY KEY ((originId, destinationId), departureDate)\n )\n \"\"\"\n )\n\n def insert_quotes(self, quoteId, minPrice, direct, carrierIds, originId,\n destinationId, departureDate, quoteDateTime):\n self.session.execute(\n 'INSERT INTO Quotes (quoteId, minPrice, direct, carrierIds, originId, destinationId, departureDate, quoteDateTime) VALUES (%s, %s, %s, %s, %s, %s, %s, %s)'\n , [quoteId, minPrice, direct, carrierIds, originId,\n destinationId, departureDate, quoteDateTime])\n print('inserted event: ', quoteId, minPrice, direct, carrierIds,\n originId, destinationId, departureDate, quoteDateTime)\n",
"<import token>\n\n\nclass CassandraConsumer:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __init__(self):\n self.session = self.cluster.connect()\n print('successfully connected to cassandra')\n try:\n self.session.execute(\n \"\"\"\n CREATE KEYSPACE IF NOT EXISTS %s\n WITH replication = { 'class': 'NetworkTopologyStrategy', 'datacenter1' : 1, 'datacenter2' : 2}\n \"\"\"\n % self.KEYSPACE)\n except Exception:\n print('Unable to create keyspace: {}'.format(self.KEYSPACE))\n self.session.set_keyspace(self.KEYSPACE)\n self.session.execute(\n \"\"\"\n CREATE TABLE IF NOT EXISTS Quotes (\n quoteId int,\n minPrice float,\n direct Boolean,\n carrierIds int,\n originId int,\n destinationId int,\n departureDate timestamp,\n quoteDateTime timestamp,\n PRIMARY KEY ((originId, destinationId), departureDate)\n )\n \"\"\"\n )\n <function token>\n",
"<import token>\n\n\nclass CassandraConsumer:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,751 |
451ca064c31a5b93b1a6fb341e4adc9e6ca1f476
|
in_file = open('test.in','r')
t = int(in_file.readline().strip())
results = []
for case in range(t):
r,c = map(int,in_file.readline().strip().split())
grid = []
result = 'Case #{}:\n'.format(case+1)
initials = set()
for row in range(r):
line = in_file.readline().strip()
grid.append(list(line))
for col in range(c):
if line[col] != '?':
initials.add((row,col,line[col]))
for row,col,val in initials:
up =0
down =0
left = 0
right = 0
#check up:
while True:
if row-up-1>=0:
if grid[row-up-1][col] == '?':
grid[row-up-1][col] = val
up+=1
else:
break
else:
break
#check down:
while True:
if row+down+1<r:
if grid[row+down+1][col] == '?':
grid[row+down+1][col] = val
down+=1
else:
break
else:
break
#check left:
while True:
if col-left - 1 >= 0:
is_clr = True
for a in range(row-up,row+down+1):
if grid[a][col-left-1] != '?':
is_clr = False
if not is_clr:
break
for a in range(row-up,row+down+1):
grid[a][col-left-1] = val
left+=1
else:
break
#check right:
while True:
if col+right + 1 < c:
is_clr = True
for a in range(row-up,row+down+1):
if grid[a][col+right+1] != '?':
is_clr = False
if not is_clr:
break
for a in range(row-up,row+down+1):
grid[a][col+right+1] = val
right+=1
else:
break
for row in grid:
for col in row:
result+=col
result+='\n'
results.append(result)
in_file.close()
out_file = open('test.out','w')
for result in results:
out_file.write(result)
print(result)
out_file.close()
|
[
"in_file = open('test.in','r')\r\nt = int(in_file.readline().strip())\r\n\r\n\r\n\r\nresults = []\r\nfor case in range(t):\r\n r,c = map(int,in_file.readline().strip().split())\r\n grid = []\r\n result = 'Case #{}:\\n'.format(case+1)\r\n \r\n initials = set()\r\n \r\n for row in range(r):\r\n line = in_file.readline().strip()\r\n grid.append(list(line))\r\n for col in range(c):\r\n if line[col] != '?':\r\n initials.add((row,col,line[col]))\r\n \r\n \r\n for row,col,val in initials:\r\n up =0\r\n down =0\r\n left = 0\r\n right = 0\r\n #check up:\r\n while True:\r\n if row-up-1>=0:\r\n if grid[row-up-1][col] == '?':\r\n grid[row-up-1][col] = val\r\n up+=1\r\n else:\r\n break\r\n else:\r\n break\r\n #check down:\r\n while True:\r\n if row+down+1<r:\r\n if grid[row+down+1][col] == '?':\r\n grid[row+down+1][col] = val\r\n down+=1\r\n else:\r\n break\r\n else:\r\n break\r\n #check left:\r\n while True:\r\n if col-left - 1 >= 0:\r\n is_clr = True\r\n for a in range(row-up,row+down+1):\r\n if grid[a][col-left-1] != '?':\r\n is_clr = False\r\n if not is_clr:\r\n break\r\n for a in range(row-up,row+down+1):\r\n grid[a][col-left-1] = val\r\n left+=1\r\n else:\r\n break\r\n #check right:\r\n while True:\r\n if col+right + 1 < c:\r\n is_clr = True\r\n for a in range(row-up,row+down+1):\r\n if grid[a][col+right+1] != '?':\r\n is_clr = False\r\n if not is_clr:\r\n break\r\n for a in range(row-up,row+down+1):\r\n grid[a][col+right+1] = val\r\n right+=1\r\n else:\r\n break\r\n \r\n for row in grid:\r\n for col in row:\r\n result+=col\r\n result+='\\n'\r\n results.append(result)\r\n \r\nin_file.close()\r\n\r\n\r\n\r\n\r\nout_file = open('test.out','w')\r\nfor result in results:\r\n out_file.write(result)\r\n print(result)\r\nout_file.close()\r\n\r\n\r\n\r\n\r\n",
"in_file = open('test.in', 'r')\nt = int(in_file.readline().strip())\nresults = []\nfor case in range(t):\n r, c = map(int, in_file.readline().strip().split())\n grid = []\n result = 'Case #{}:\\n'.format(case + 1)\n initials = set()\n for row in range(r):\n line = in_file.readline().strip()\n grid.append(list(line))\n for col in range(c):\n if line[col] != '?':\n initials.add((row, col, line[col]))\n for row, col, val in initials:\n up = 0\n down = 0\n left = 0\n right = 0\n while True:\n if row - up - 1 >= 0:\n if grid[row - up - 1][col] == '?':\n grid[row - up - 1][col] = val\n up += 1\n else:\n break\n else:\n break\n while True:\n if row + down + 1 < r:\n if grid[row + down + 1][col] == '?':\n grid[row + down + 1][col] = val\n down += 1\n else:\n break\n else:\n break\n while True:\n if col - left - 1 >= 0:\n is_clr = True\n for a in range(row - up, row + down + 1):\n if grid[a][col - left - 1] != '?':\n is_clr = False\n if not is_clr:\n break\n for a in range(row - up, row + down + 1):\n grid[a][col - left - 1] = val\n left += 1\n else:\n break\n while True:\n if col + right + 1 < c:\n is_clr = True\n for a in range(row - up, row + down + 1):\n if grid[a][col + right + 1] != '?':\n is_clr = False\n if not is_clr:\n break\n for a in range(row - up, row + down + 1):\n grid[a][col + right + 1] = val\n right += 1\n else:\n break\n for row in grid:\n for col in row:\n result += col\n result += '\\n'\n results.append(result)\nin_file.close()\nout_file = open('test.out', 'w')\nfor result in results:\n out_file.write(result)\n print(result)\nout_file.close()\n",
"<assignment token>\nfor case in range(t):\n r, c = map(int, in_file.readline().strip().split())\n grid = []\n result = 'Case #{}:\\n'.format(case + 1)\n initials = set()\n for row in range(r):\n line = in_file.readline().strip()\n grid.append(list(line))\n for col in range(c):\n if line[col] != '?':\n initials.add((row, col, line[col]))\n for row, col, val in initials:\n up = 0\n down = 0\n left = 0\n right = 0\n while True:\n if row - up - 1 >= 0:\n if grid[row - up - 1][col] == '?':\n grid[row - up - 1][col] = val\n up += 1\n else:\n break\n else:\n break\n while True:\n if row + down + 1 < r:\n if grid[row + down + 1][col] == '?':\n grid[row + down + 1][col] = val\n down += 1\n else:\n break\n else:\n break\n while True:\n if col - left - 1 >= 0:\n is_clr = True\n for a in range(row - up, row + down + 1):\n if grid[a][col - left - 1] != '?':\n is_clr = False\n if not is_clr:\n break\n for a in range(row - up, row + down + 1):\n grid[a][col - left - 1] = val\n left += 1\n else:\n break\n while True:\n if col + right + 1 < c:\n is_clr = True\n for a in range(row - up, row + down + 1):\n if grid[a][col + right + 1] != '?':\n is_clr = False\n if not is_clr:\n break\n for a in range(row - up, row + down + 1):\n grid[a][col + right + 1] = val\n right += 1\n else:\n break\n for row in grid:\n for col in row:\n result += col\n result += '\\n'\n results.append(result)\nin_file.close()\n<assignment token>\nfor result in results:\n out_file.write(result)\n print(result)\nout_file.close()\n",
"<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,752 |
0986f3c59e3c9de33b59b69e72566b0b258b9fba
|
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'Dialog_Save.ui'
#
# Created by: PyQt5 UI code generator 5.10.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName("Dialog")
Dialog.resize(400, 180)
Dialog.setStyleSheet("")
Dialog.setModal(False)
self.label = QtWidgets.QLabel(Dialog)
self.label.setGeometry(QtCore.QRect(50, 40, 81, 71))
self.label.setText("")
self.label.setPixmap(QtGui.QPixmap("tickmark.jpg"))
self.label.setScaledContents(True)
self.label.setObjectName("label")
self.pushButton = QtWidgets.QPushButton(Dialog)
self.pushButton.setGeometry(QtCore.QRect(150, 130, 93, 28))
self.pushButton.setObjectName("pushButton")
self.label_2 = QtWidgets.QLabel(Dialog)
self.label_2.setGeometry(QtCore.QRect(160, 50, 200, 40))
font = QtGui.QFont()
font.setFamily("Arial")
font.setPointSize(16)
font.setBold(True)
font.setWeight(75)
self.label_2.setFont(font)
self.label_2.setStyleSheet("")
self.label_2.setObjectName("label_2")
self.retranslateUi(Dialog)
QtCore.QMetaObject.connectSlotsByName(Dialog)
def retranslateUi(self, Dialog):
_translate = QtCore.QCoreApplication.translate
Dialog.setWindowTitle(_translate("Dialog", "Dialog"))
self.pushButton.setText(_translate("Dialog", "OK"))
self.label_2.setText(_translate("Dialog", "Team Saved"))
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
Dialog = QtWidgets.QDialog()
ui = Ui_Dialog()
ui.setupUi(Dialog)
Dialog.show()
sys.exit(app.exec_())
|
[
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'Dialog_Save.ui'\n#\n# Created by: PyQt5 UI code generator 5.10.1\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt5 import QtCore, QtGui, QtWidgets\n\nclass Ui_Dialog(object):\n def setupUi(self, Dialog):\n Dialog.setObjectName(\"Dialog\")\n Dialog.resize(400, 180)\n Dialog.setStyleSheet(\"\")\n Dialog.setModal(False)\n self.label = QtWidgets.QLabel(Dialog)\n self.label.setGeometry(QtCore.QRect(50, 40, 81, 71))\n self.label.setText(\"\")\n self.label.setPixmap(QtGui.QPixmap(\"tickmark.jpg\"))\n self.label.setScaledContents(True)\n self.label.setObjectName(\"label\")\n self.pushButton = QtWidgets.QPushButton(Dialog)\n self.pushButton.setGeometry(QtCore.QRect(150, 130, 93, 28))\n self.pushButton.setObjectName(\"pushButton\")\n self.label_2 = QtWidgets.QLabel(Dialog)\n self.label_2.setGeometry(QtCore.QRect(160, 50, 200, 40))\n font = QtGui.QFont()\n font.setFamily(\"Arial\")\n font.setPointSize(16)\n font.setBold(True)\n font.setWeight(75)\n self.label_2.setFont(font)\n self.label_2.setStyleSheet(\"\")\n self.label_2.setObjectName(\"label_2\")\n\n self.retranslateUi(Dialog)\n QtCore.QMetaObject.connectSlotsByName(Dialog)\n\n def retranslateUi(self, Dialog):\n _translate = QtCore.QCoreApplication.translate\n Dialog.setWindowTitle(_translate(\"Dialog\", \"Dialog\"))\n self.pushButton.setText(_translate(\"Dialog\", \"OK\"))\n self.label_2.setText(_translate(\"Dialog\", \"Team Saved\"))\n\n\nif __name__ == \"__main__\":\n import sys\n app = QtWidgets.QApplication(sys.argv)\n Dialog = QtWidgets.QDialog()\n ui = Ui_Dialog()\n ui.setupUi(Dialog)\n Dialog.show()\n sys.exit(app.exec_())\n\n",
"from PyQt5 import QtCore, QtGui, QtWidgets\n\n\nclass Ui_Dialog(object):\n\n def setupUi(self, Dialog):\n Dialog.setObjectName('Dialog')\n Dialog.resize(400, 180)\n Dialog.setStyleSheet('')\n Dialog.setModal(False)\n self.label = QtWidgets.QLabel(Dialog)\n self.label.setGeometry(QtCore.QRect(50, 40, 81, 71))\n self.label.setText('')\n self.label.setPixmap(QtGui.QPixmap('tickmark.jpg'))\n self.label.setScaledContents(True)\n self.label.setObjectName('label')\n self.pushButton = QtWidgets.QPushButton(Dialog)\n self.pushButton.setGeometry(QtCore.QRect(150, 130, 93, 28))\n self.pushButton.setObjectName('pushButton')\n self.label_2 = QtWidgets.QLabel(Dialog)\n self.label_2.setGeometry(QtCore.QRect(160, 50, 200, 40))\n font = QtGui.QFont()\n font.setFamily('Arial')\n font.setPointSize(16)\n font.setBold(True)\n font.setWeight(75)\n self.label_2.setFont(font)\n self.label_2.setStyleSheet('')\n self.label_2.setObjectName('label_2')\n self.retranslateUi(Dialog)\n QtCore.QMetaObject.connectSlotsByName(Dialog)\n\n def retranslateUi(self, Dialog):\n _translate = QtCore.QCoreApplication.translate\n Dialog.setWindowTitle(_translate('Dialog', 'Dialog'))\n self.pushButton.setText(_translate('Dialog', 'OK'))\n self.label_2.setText(_translate('Dialog', 'Team Saved'))\n\n\nif __name__ == '__main__':\n import sys\n app = QtWidgets.QApplication(sys.argv)\n Dialog = QtWidgets.QDialog()\n ui = Ui_Dialog()\n ui.setupUi(Dialog)\n Dialog.show()\n sys.exit(app.exec_())\n",
"<import token>\n\n\nclass Ui_Dialog(object):\n\n def setupUi(self, Dialog):\n Dialog.setObjectName('Dialog')\n Dialog.resize(400, 180)\n Dialog.setStyleSheet('')\n Dialog.setModal(False)\n self.label = QtWidgets.QLabel(Dialog)\n self.label.setGeometry(QtCore.QRect(50, 40, 81, 71))\n self.label.setText('')\n self.label.setPixmap(QtGui.QPixmap('tickmark.jpg'))\n self.label.setScaledContents(True)\n self.label.setObjectName('label')\n self.pushButton = QtWidgets.QPushButton(Dialog)\n self.pushButton.setGeometry(QtCore.QRect(150, 130, 93, 28))\n self.pushButton.setObjectName('pushButton')\n self.label_2 = QtWidgets.QLabel(Dialog)\n self.label_2.setGeometry(QtCore.QRect(160, 50, 200, 40))\n font = QtGui.QFont()\n font.setFamily('Arial')\n font.setPointSize(16)\n font.setBold(True)\n font.setWeight(75)\n self.label_2.setFont(font)\n self.label_2.setStyleSheet('')\n self.label_2.setObjectName('label_2')\n self.retranslateUi(Dialog)\n QtCore.QMetaObject.connectSlotsByName(Dialog)\n\n def retranslateUi(self, Dialog):\n _translate = QtCore.QCoreApplication.translate\n Dialog.setWindowTitle(_translate('Dialog', 'Dialog'))\n self.pushButton.setText(_translate('Dialog', 'OK'))\n self.label_2.setText(_translate('Dialog', 'Team Saved'))\n\n\nif __name__ == '__main__':\n import sys\n app = QtWidgets.QApplication(sys.argv)\n Dialog = QtWidgets.QDialog()\n ui = Ui_Dialog()\n ui.setupUi(Dialog)\n Dialog.show()\n sys.exit(app.exec_())\n",
"<import token>\n\n\nclass Ui_Dialog(object):\n\n def setupUi(self, Dialog):\n Dialog.setObjectName('Dialog')\n Dialog.resize(400, 180)\n Dialog.setStyleSheet('')\n Dialog.setModal(False)\n self.label = QtWidgets.QLabel(Dialog)\n self.label.setGeometry(QtCore.QRect(50, 40, 81, 71))\n self.label.setText('')\n self.label.setPixmap(QtGui.QPixmap('tickmark.jpg'))\n self.label.setScaledContents(True)\n self.label.setObjectName('label')\n self.pushButton = QtWidgets.QPushButton(Dialog)\n self.pushButton.setGeometry(QtCore.QRect(150, 130, 93, 28))\n self.pushButton.setObjectName('pushButton')\n self.label_2 = QtWidgets.QLabel(Dialog)\n self.label_2.setGeometry(QtCore.QRect(160, 50, 200, 40))\n font = QtGui.QFont()\n font.setFamily('Arial')\n font.setPointSize(16)\n font.setBold(True)\n font.setWeight(75)\n self.label_2.setFont(font)\n self.label_2.setStyleSheet('')\n self.label_2.setObjectName('label_2')\n self.retranslateUi(Dialog)\n QtCore.QMetaObject.connectSlotsByName(Dialog)\n\n def retranslateUi(self, Dialog):\n _translate = QtCore.QCoreApplication.translate\n Dialog.setWindowTitle(_translate('Dialog', 'Dialog'))\n self.pushButton.setText(_translate('Dialog', 'OK'))\n self.label_2.setText(_translate('Dialog', 'Team Saved'))\n\n\n<code token>\n",
"<import token>\n\n\nclass Ui_Dialog(object):\n\n def setupUi(self, Dialog):\n Dialog.setObjectName('Dialog')\n Dialog.resize(400, 180)\n Dialog.setStyleSheet('')\n Dialog.setModal(False)\n self.label = QtWidgets.QLabel(Dialog)\n self.label.setGeometry(QtCore.QRect(50, 40, 81, 71))\n self.label.setText('')\n self.label.setPixmap(QtGui.QPixmap('tickmark.jpg'))\n self.label.setScaledContents(True)\n self.label.setObjectName('label')\n self.pushButton = QtWidgets.QPushButton(Dialog)\n self.pushButton.setGeometry(QtCore.QRect(150, 130, 93, 28))\n self.pushButton.setObjectName('pushButton')\n self.label_2 = QtWidgets.QLabel(Dialog)\n self.label_2.setGeometry(QtCore.QRect(160, 50, 200, 40))\n font = QtGui.QFont()\n font.setFamily('Arial')\n font.setPointSize(16)\n font.setBold(True)\n font.setWeight(75)\n self.label_2.setFont(font)\n self.label_2.setStyleSheet('')\n self.label_2.setObjectName('label_2')\n self.retranslateUi(Dialog)\n QtCore.QMetaObject.connectSlotsByName(Dialog)\n <function token>\n\n\n<code token>\n",
"<import token>\n\n\nclass Ui_Dialog(object):\n <function token>\n <function token>\n\n\n<code token>\n",
"<import token>\n<class token>\n<code token>\n"
] | false |
98,753 |
bf0b66735214faa1e0fb240f499c47f7130e3556
|
'''
Given an array of integers, some of the elements
appear once, other elements appear twice.
∀ e ∈ arr[int], e ∈ [1, len(arr[int])]
Find all elements that appear twice in the array
Niave, make a dict, if frequency goes above 1, add
the element to an arr[int], return arr. Easy money.
Or, for every element see if it appears again in the
list, 0(n²), easy money x 2
However, neither of these are 0(n), 0(c)
sum 1+2+...+n = ((n+1)(n))/2
Given: [4,3,2,7,8,2,3,1]
len() == 8
So sum should be 8*7/2 = 56/2 = 28
28
Loop through each element, subtract the value
4: 24
3: 21
2: 19
7: 12
8: 4
2: 2
3: -1
1: -2
28 - x - y + z + w = -2
seen = set()
ans = []
for num in nums:
if num in seen:
ans.append(num)
elif num not in seen:
seen.add(num)
return ans
Ok so I think that I have it.
Loop through list. Since we know that
the elements must exist in [1,n], we
can calculate the index at which any
given element must exist at (if we were
to sort it).
If we look at the element at the target
index, and it is the same as the element that we have,
add it to our arr[int]
Then set the current index to None.
Loop through list, swapping elements until they are in
the right location. If we see a repeat, setting the current
index that we are at to None.
Return the arr[int] when done.
'''
class Solution:
def findDuplicates(self, nums):
seen = set()
ans = []
for num in nums:
if num in seen:
ans.append(num)
elif num not in seen:
seen.add(num)
return ans
if __name__ == '__main__':
s = Solution()
print(s.findDuplicates([4,3,2,7,8,2,3,1]))
print(s.findDuplicates([1,2]))
|
[
"'''\nGiven an array of integers, some of the elements\nappear once, other elements appear twice.\n\n∀ e ∈ arr[int], e ∈ [1, len(arr[int])]\n\nFind all elements that appear twice in the array\n\nNiave, make a dict, if frequency goes above 1, add\nthe element to an arr[int], return arr. Easy money.\n\nOr, for every element see if it appears again in the\nlist, 0(n²), easy money x 2\n\nHowever, neither of these are 0(n), 0(c)\n\nsum 1+2+...+n = ((n+1)(n))/2\n\nGiven: [4,3,2,7,8,2,3,1]\nlen() == 8\n\nSo sum should be 8*7/2 = 56/2 = 28\n\n28\n\nLoop through each element, subtract the value\n\n4: 24\n3: 21\n2: 19\n7: 12\n8: 4\n2: 2\n3: -1\n1: -2\n\n28 - x - y + z + w = -2\n\nseen = set()\nans = []\n\nfor num in nums:\n if num in seen:\n ans.append(num)\n\n elif num not in seen:\n seen.add(num)\n\nreturn ans\n\nOk so I think that I have it.\n\nLoop through list. Since we know that\nthe elements must exist in [1,n], we\ncan calculate the index at which any\ngiven element must exist at (if we were\nto sort it).\n\nIf we look at the element at the target\nindex, and it is the same as the element that we have,\nadd it to our arr[int]\n\nThen set the current index to None.\n\nLoop through list, swapping elements until they are in\nthe right location. If we see a repeat, setting the current\nindex that we are at to None.\n\nReturn the arr[int] when done.\n\n\n\n'''\n\n\nclass Solution:\n def findDuplicates(self, nums):\n seen = set()\n ans = []\n\n for num in nums:\n if num in seen:\n ans.append(num)\n\n elif num not in seen:\n seen.add(num)\n\n return ans\n\nif __name__ == '__main__':\n s = Solution()\n\n print(s.findDuplicates([4,3,2,7,8,2,3,1]))\n\n print(s.findDuplicates([1,2]))\n",
"<docstring token>\n\n\nclass Solution:\n\n def findDuplicates(self, nums):\n seen = set()\n ans = []\n for num in nums:\n if num in seen:\n ans.append(num)\n elif num not in seen:\n seen.add(num)\n return ans\n\n\nif __name__ == '__main__':\n s = Solution()\n print(s.findDuplicates([4, 3, 2, 7, 8, 2, 3, 1]))\n print(s.findDuplicates([1, 2]))\n",
"<docstring token>\n\n\nclass Solution:\n\n def findDuplicates(self, nums):\n seen = set()\n ans = []\n for num in nums:\n if num in seen:\n ans.append(num)\n elif num not in seen:\n seen.add(num)\n return ans\n\n\n<code token>\n",
"<docstring token>\n\n\nclass Solution:\n <function token>\n\n\n<code token>\n",
"<docstring token>\n<class token>\n<code token>\n"
] | false |
98,754 |
83a596d864b9d0a5d9a7cd4f5da1c22c9cd45bc1
|
from loxpy import Lox
if __name__ == "__main__":
Lox.main()
|
[
"from loxpy import Lox\n\nif __name__ == \"__main__\":\n Lox.main()\n",
"from loxpy import Lox\nif __name__ == '__main__':\n Lox.main()\n",
"<import token>\nif __name__ == '__main__':\n Lox.main()\n",
"<import token>\n<code token>\n"
] | false |
98,755 |
af050c9973279a4ad8eb85f3ef2ecf7c2f7a7b62
|
# Generated by Django 2.0.5 on 2018-10-03 12:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('ActualCost', '0005_auto_20181003_1532'),
]
operations = [
migrations.RemoveField(
model_name='wastesale',
name='cost',
),
migrations.RemoveField(
model_name='wastesale',
name='image',
),
]
|
[
"# Generated by Django 2.0.5 on 2018-10-03 12:08\n\nfrom django.db import migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('ActualCost', '0005_auto_20181003_1532'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='wastesale',\n name='cost',\n ),\n migrations.RemoveField(\n model_name='wastesale',\n name='image',\n ),\n ]\n",
"from django.db import migrations\n\n\nclass Migration(migrations.Migration):\n dependencies = [('ActualCost', '0005_auto_20181003_1532')]\n operations = [migrations.RemoveField(model_name='wastesale', name=\n 'cost'), migrations.RemoveField(model_name='wastesale', name='image')]\n",
"<import token>\n\n\nclass Migration(migrations.Migration):\n dependencies = [('ActualCost', '0005_auto_20181003_1532')]\n operations = [migrations.RemoveField(model_name='wastesale', name=\n 'cost'), migrations.RemoveField(model_name='wastesale', name='image')]\n",
"<import token>\n\n\nclass Migration(migrations.Migration):\n <assignment token>\n <assignment token>\n",
"<import token>\n<class token>\n"
] | false |
98,756 |
0b2dd383e84d193bc26e70c9f544152c3fa620c7
|
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.modules.module import _IncompatibleKeys
from x_transformers import *
from x_transformers.autoregressive_wrapper import *
from timm import create_model
from timm.models.layers.patch_embed import PatchEmbed
from copy import deepcopy
from einops import rearrange, repeat
from dataset import START, PAD, END
import numpy as np
import math
import random
from dataset import START, PAD, END
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
class CustomARWrapper(AutoregressiveWrapper):
def __init__(self, *args, **kwargs):
super(CustomARWrapper, self).__init__(*args, **kwargs)
@torch.no_grad()
def generate(self, start_tokens, seq_len, eos_token=None, temperature=1., filter_logits_fn=top_k, filter_thres=0.9,
**kwargs):
device = start_tokens.device
was_training = self.net.training
num_dims = len(start_tokens.shape)
if num_dims == 1:
start_tokens = start_tokens[None, :]
b, t = start_tokens.shape
self.net.eval()
out = start_tokens
mask = kwargs.pop('mask', None)
if mask is None:
mask = torch.full_like(out, True, dtype=torch.bool, device=out.device)
for _ in range(seq_len):
x = out[:, -self.max_seq_len:]
mask = mask[:, -self.max_seq_len:]
# print('arw:',out.shape)
logits = self.net(x, mask=mask, **kwargs)[:, -1, :]
if filter_logits_fn in {top_k, top_p}:
filtered_logits = filter_logits_fn(logits, thres=filter_thres)
probs = F.softmax(filtered_logits / temperature, dim=-1)
elif filter_logits_fn is entmax:
probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1)
sample = torch.multinomial(probs, 1)
out = torch.cat((out, sample), dim=-1)
mask = F.pad(mask, (0, 1), value=True)
if eos_token is not None and (torch.cumsum(out == eos_token, 1)[:, -1] >= 1).all():
break
out = out[:, t:]
if num_dims == 1:
out = out.squeeze(0)
self.net.train(was_training)
return out
def forward(self, x, **kwargs):
#print(x)
xi = x[:, :-1]
xo = x[:, 1:]
# help auto-solve a frequent area of confusion around input masks in auto-regressive
# if user supplies a mask that is only off by one from the source sequence, resolve itfor them
mask = kwargs.get('mask', None)
if mask is not None and mask.shape[1] == x.shape[1]:
mask = mask[:, :-1]
kwargs['mask'] = mask
out = self.net(xi, **kwargs)
# print(out.shape)
# print(out.transpose(1,2).shape)
# print(xo.shape)
loss = F.cross_entropy(out.transpose(1, 2), xo, ignore_index=2)
return loss
class CustomSwinTransformer(torch.nn.Module):
def __init__(self,swin_layer):
super(CustomSwinTransformer, self).__init__()
self.patch_embed = PatchEmbed(img_size=(112,448),patch_size=4,in_chans=1,embed_dim=192)
self.swin_layer = swin_layer
self.linear = torch.nn.Linear(1536,256)
self.norm = torch.nn.LayerNorm((256,),eps=1e-06)
self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)
def forward(self, x):
x=self.patch_embed(x)
x=self.swin_layer(x)
x=self.linear(x)
x=self.norm(x)
x=self.avg_pool(x)
class Swin(nn.Module):
def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=.333):
super(Swin, self).__init__()
self.bos_token = train_dataset.token_to_id[START]
self.eos_token = train_dataset.token_to_id[END]
self.pad_token = train_dataset.token_to_id[PAD]
self.max_seq_len = FLAGS.swin.max_seq_len
self.temperature = temp
sw = create_model('swin_large_patch4_window7_224',checkpoint_path="/opt/ml/input/data/swin.pth")
sl = deepcopy(sw.layers)
del sw
self.encoder = CustomSwinTransformer(sl)
self.decoder = CustomARWrapper(
TransformerWrapper(
num_tokens=len(train_dataset.id_to_token),
max_seq_len=self.max_seq_len,
attn_layers=Decoder(
dim=FLAGS.swin.decoder.dim,
depth=FLAGS.swin.decoder.depth,
heads=FLAGS.swin.decoder.heads,
attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn,
cross_attend=FLAGS.swin.decoder.args.cross_attend,
ff_glu=FLAGS.swin.decoder.args.ff_glu,
rel_pos_bias=FLAGS.swin.decoder.args.rel_pos_bias,
use_scalenorm=FLAGS.swin.decoder.args.use_scalenorm
)),
pad_value=self.pad_token)
self.criterion = (
nn.CrossEntropyLoss()
)
if checkpoint is not None:
self.load_state_dict(checkpoint)
def load_state_dict(self, state_dict, strict=True):
total_parameters = 0
matches = 0
mismatches = 0
with torch.no_grad():
for name,param in self.named_parameters():
total_parameters+=1
try:
param.copy_(state_dict[name])
matches+=1
except Exception as e:
print(f'disable to get parameter : {name}')
print(e)
mismatches+=1
continue
print(f"Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.")
def forward(self, x: torch.Tensor, expected, is_train, teacher_focing_ratio=None):
device = x.device
encoded = self.encoder(x.to(device))
dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len(x))[:, None].to(device), self.max_seq_len,
eos_token=self.eos_token, context=encoded, temperature=self.temperature)
return dec
|
[
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch.nn.modules.module import _IncompatibleKeys\n\nfrom x_transformers import *\nfrom x_transformers.autoregressive_wrapper import *\nfrom timm import create_model\nfrom timm.models.layers.patch_embed import PatchEmbed\nfrom copy import deepcopy\nfrom einops import rearrange, repeat\nfrom dataset import START, PAD, END\n\nimport numpy as np\nimport math\nimport random\n\nfrom dataset import START, PAD, END\n\ndevice = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n def __init__(self, *args, **kwargs):\n super(CustomARWrapper, self).__init__(*args, **kwargs)\n\n @torch.no_grad()\n def generate(self, start_tokens, seq_len, eos_token=None, temperature=1., filter_logits_fn=top_k, filter_thres=0.9,\n **kwargs):\n device = start_tokens.device\n was_training = self.net.training\n num_dims = len(start_tokens.shape)\n\n if num_dims == 1:\n start_tokens = start_tokens[None, :]\n\n b, t = start_tokens.shape\n\n self.net.eval()\n out = start_tokens\n mask = kwargs.pop('mask', None)\n if mask is None:\n mask = torch.full_like(out, True, dtype=torch.bool, device=out.device)\n\n for _ in range(seq_len):\n x = out[:, -self.max_seq_len:]\n mask = mask[:, -self.max_seq_len:]\n # print('arw:',out.shape)\n logits = self.net(x, mask=mask, **kwargs)[:, -1, :]\n\n if filter_logits_fn in {top_k, top_p}:\n filtered_logits = filter_logits_fn(logits, thres=filter_thres)\n probs = F.softmax(filtered_logits / temperature, dim=-1)\n\n elif filter_logits_fn is entmax:\n probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1)\n\n sample = torch.multinomial(probs, 1)\n\n out = torch.cat((out, sample), dim=-1)\n mask = F.pad(mask, (0, 1), value=True)\n\n if eos_token is not None and (torch.cumsum(out == eos_token, 1)[:, -1] >= 1).all():\n break\n\n out = out[:, t:]\n\n if num_dims == 1:\n out = out.squeeze(0)\n\n self.net.train(was_training)\n return out\n\n def forward(self, x, **kwargs):\n #print(x)\n xi = x[:, :-1]\n xo = x[:, 1:]\n\n # help auto-solve a frequent area of confusion around input masks in auto-regressive\n # if user supplies a mask that is only off by one from the source sequence, resolve itfor them\n mask = kwargs.get('mask', None)\n if mask is not None and mask.shape[1] == x.shape[1]:\n mask = mask[:, :-1]\n kwargs['mask'] = mask\n\n out = self.net(xi, **kwargs)\n # print(out.shape)\n # print(out.transpose(1,2).shape)\n # print(xo.shape)\n loss = F.cross_entropy(out.transpose(1, 2), xo, ignore_index=2)\n return loss\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n def __init__(self,swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112,448),patch_size=4,in_chans=1,embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536,256)\n self.norm = torch.nn.LayerNorm((256,),eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x=self.patch_embed(x)\n x=self.swin_layer(x)\n x=self.linear(x)\n x=self.norm(x)\n x=self.avg_pool(x)\n\n\n\nclass Swin(nn.Module):\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224',checkpoint_path=\"/opt/ml/input/data/swin.pth\")\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n\n self.decoder = CustomARWrapper(\n TransformerWrapper(\n num_tokens=len(train_dataset.id_to_token),\n max_seq_len=self.max_seq_len,\n attn_layers=Decoder(\n dim=FLAGS.swin.decoder.dim,\n depth=FLAGS.swin.decoder.depth,\n heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn,\n cross_attend=FLAGS.swin.decoder.args.cross_attend,\n ff_glu=FLAGS.swin.decoder.args.ff_glu,\n rel_pos_bias=FLAGS.swin.decoder.args.rel_pos_bias,\n use_scalenorm=FLAGS.swin.decoder.args.use_scalenorm\n )),\n pad_value=self.pad_token)\n\n self.criterion = (\n nn.CrossEntropyLoss()\n )\n\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name,param in self.named_parameters():\n total_parameters+=1\n try:\n param.copy_(state_dict[name])\n matches+=1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches+=1\n continue\n print(f\"Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.\")\n\n def forward(self, x: torch.Tensor, expected, is_train, teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len(x))[:, None].to(device), self.max_seq_len,\n eos_token=self.eos_token, context=encoded, temperature=self.temperature)\n return dec",
"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom torch.nn.modules.module import _IncompatibleKeys\nfrom x_transformers import *\nfrom x_transformers.autoregressive_wrapper import *\nfrom timm import create_model\nfrom timm.models.layers.patch_embed import PatchEmbed\nfrom copy import deepcopy\nfrom einops import rearrange, repeat\nfrom dataset import START, PAD, END\nimport numpy as np\nimport math\nimport random\nfrom dataset import START, PAD, END\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n\n def __init__(self, *args, **kwargs):\n super(CustomARWrapper, self).__init__(*args, **kwargs)\n\n @torch.no_grad()\n def generate(self, start_tokens, seq_len, eos_token=None, temperature=\n 1.0, filter_logits_fn=top_k, filter_thres=0.9, **kwargs):\n device = start_tokens.device\n was_training = self.net.training\n num_dims = len(start_tokens.shape)\n if num_dims == 1:\n start_tokens = start_tokens[None, :]\n b, t = start_tokens.shape\n self.net.eval()\n out = start_tokens\n mask = kwargs.pop('mask', None)\n if mask is None:\n mask = torch.full_like(out, True, dtype=torch.bool, device=out.\n device)\n for _ in range(seq_len):\n x = out[:, -self.max_seq_len:]\n mask = mask[:, -self.max_seq_len:]\n logits = self.net(x, mask=mask, **kwargs)[:, -1, :]\n if filter_logits_fn in {top_k, top_p}:\n filtered_logits = filter_logits_fn(logits, thres=filter_thres)\n probs = F.softmax(filtered_logits / temperature, dim=-1)\n elif filter_logits_fn is entmax:\n probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1\n )\n sample = torch.multinomial(probs, 1)\n out = torch.cat((out, sample), dim=-1)\n mask = F.pad(mask, (0, 1), value=True)\n if eos_token is not None and (torch.cumsum(out == eos_token, 1)\n [:, -1] >= 1).all():\n break\n out = out[:, t:]\n if num_dims == 1:\n out = out.squeeze(0)\n self.net.train(was_training)\n return out\n\n def forward(self, x, **kwargs):\n xi = x[:, :-1]\n xo = x[:, 1:]\n mask = kwargs.get('mask', None)\n if mask is not None and mask.shape[1] == x.shape[1]:\n mask = mask[:, :-1]\n kwargs['mask'] = mask\n out = self.net(xi, **kwargs)\n loss = F.cross_entropy(out.transpose(1, 2), xo, ignore_index=2)\n return loss\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n\n def __init__(self, *args, **kwargs):\n super(CustomARWrapper, self).__init__(*args, **kwargs)\n\n @torch.no_grad()\n def generate(self, start_tokens, seq_len, eos_token=None, temperature=\n 1.0, filter_logits_fn=top_k, filter_thres=0.9, **kwargs):\n device = start_tokens.device\n was_training = self.net.training\n num_dims = len(start_tokens.shape)\n if num_dims == 1:\n start_tokens = start_tokens[None, :]\n b, t = start_tokens.shape\n self.net.eval()\n out = start_tokens\n mask = kwargs.pop('mask', None)\n if mask is None:\n mask = torch.full_like(out, True, dtype=torch.bool, device=out.\n device)\n for _ in range(seq_len):\n x = out[:, -self.max_seq_len:]\n mask = mask[:, -self.max_seq_len:]\n logits = self.net(x, mask=mask, **kwargs)[:, -1, :]\n if filter_logits_fn in {top_k, top_p}:\n filtered_logits = filter_logits_fn(logits, thres=filter_thres)\n probs = F.softmax(filtered_logits / temperature, dim=-1)\n elif filter_logits_fn is entmax:\n probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1\n )\n sample = torch.multinomial(probs, 1)\n out = torch.cat((out, sample), dim=-1)\n mask = F.pad(mask, (0, 1), value=True)\n if eos_token is not None and (torch.cumsum(out == eos_token, 1)\n [:, -1] >= 1).all():\n break\n out = out[:, t:]\n if num_dims == 1:\n out = out.squeeze(0)\n self.net.train(was_training)\n return out\n\n def forward(self, x, **kwargs):\n xi = x[:, :-1]\n xo = x[:, 1:]\n mask = kwargs.get('mask', None)\n if mask is not None and mask.shape[1] == x.shape[1]:\n mask = mask[:, :-1]\n kwargs['mask'] = mask\n out = self.net(xi, **kwargs)\n loss = F.cross_entropy(out.transpose(1, 2), xo, ignore_index=2)\n return loss\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n\n def __init__(self, *args, **kwargs):\n super(CustomARWrapper, self).__init__(*args, **kwargs)\n\n @torch.no_grad()\n def generate(self, start_tokens, seq_len, eos_token=None, temperature=\n 1.0, filter_logits_fn=top_k, filter_thres=0.9, **kwargs):\n device = start_tokens.device\n was_training = self.net.training\n num_dims = len(start_tokens.shape)\n if num_dims == 1:\n start_tokens = start_tokens[None, :]\n b, t = start_tokens.shape\n self.net.eval()\n out = start_tokens\n mask = kwargs.pop('mask', None)\n if mask is None:\n mask = torch.full_like(out, True, dtype=torch.bool, device=out.\n device)\n for _ in range(seq_len):\n x = out[:, -self.max_seq_len:]\n mask = mask[:, -self.max_seq_len:]\n logits = self.net(x, mask=mask, **kwargs)[:, -1, :]\n if filter_logits_fn in {top_k, top_p}:\n filtered_logits = filter_logits_fn(logits, thres=filter_thres)\n probs = F.softmax(filtered_logits / temperature, dim=-1)\n elif filter_logits_fn is entmax:\n probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1\n )\n sample = torch.multinomial(probs, 1)\n out = torch.cat((out, sample), dim=-1)\n mask = F.pad(mask, (0, 1), value=True)\n if eos_token is not None and (torch.cumsum(out == eos_token, 1)\n [:, -1] >= 1).all():\n break\n out = out[:, t:]\n if num_dims == 1:\n out = out.squeeze(0)\n self.net.train(was_training)\n return out\n\n def forward(self, x, **kwargs):\n xi = x[:, :-1]\n xo = x[:, 1:]\n mask = kwargs.get('mask', None)\n if mask is not None and mask.shape[1] == x.shape[1]:\n mask = mask[:, :-1]\n kwargs['mask'] = mask\n out = self.net(xi, **kwargs)\n loss = F.cross_entropy(out.transpose(1, 2), xo, ignore_index=2)\n return loss\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n\n def __init__(self, *args, **kwargs):\n super(CustomARWrapper, self).__init__(*args, **kwargs)\n\n @torch.no_grad()\n def generate(self, start_tokens, seq_len, eos_token=None, temperature=\n 1.0, filter_logits_fn=top_k, filter_thres=0.9, **kwargs):\n device = start_tokens.device\n was_training = self.net.training\n num_dims = len(start_tokens.shape)\n if num_dims == 1:\n start_tokens = start_tokens[None, :]\n b, t = start_tokens.shape\n self.net.eval()\n out = start_tokens\n mask = kwargs.pop('mask', None)\n if mask is None:\n mask = torch.full_like(out, True, dtype=torch.bool, device=out.\n device)\n for _ in range(seq_len):\n x = out[:, -self.max_seq_len:]\n mask = mask[:, -self.max_seq_len:]\n logits = self.net(x, mask=mask, **kwargs)[:, -1, :]\n if filter_logits_fn in {top_k, top_p}:\n filtered_logits = filter_logits_fn(logits, thres=filter_thres)\n probs = F.softmax(filtered_logits / temperature, dim=-1)\n elif filter_logits_fn is entmax:\n probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1\n )\n sample = torch.multinomial(probs, 1)\n out = torch.cat((out, sample), dim=-1)\n mask = F.pad(mask, (0, 1), value=True)\n if eos_token is not None and (torch.cumsum(out == eos_token, 1)\n [:, -1] >= 1).all():\n break\n out = out[:, t:]\n if num_dims == 1:\n out = out.squeeze(0)\n self.net.train(was_training)\n return out\n <function token>\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n <function token>\n\n @torch.no_grad()\n def generate(self, start_tokens, seq_len, eos_token=None, temperature=\n 1.0, filter_logits_fn=top_k, filter_thres=0.9, **kwargs):\n device = start_tokens.device\n was_training = self.net.training\n num_dims = len(start_tokens.shape)\n if num_dims == 1:\n start_tokens = start_tokens[None, :]\n b, t = start_tokens.shape\n self.net.eval()\n out = start_tokens\n mask = kwargs.pop('mask', None)\n if mask is None:\n mask = torch.full_like(out, True, dtype=torch.bool, device=out.\n device)\n for _ in range(seq_len):\n x = out[:, -self.max_seq_len:]\n mask = mask[:, -self.max_seq_len:]\n logits = self.net(x, mask=mask, **kwargs)[:, -1, :]\n if filter_logits_fn in {top_k, top_p}:\n filtered_logits = filter_logits_fn(logits, thres=filter_thres)\n probs = F.softmax(filtered_logits / temperature, dim=-1)\n elif filter_logits_fn is entmax:\n probs = entmax(logits / temperature, alpha=ENTMAX_ALPHA, dim=-1\n )\n sample = torch.multinomial(probs, 1)\n out = torch.cat((out, sample), dim=-1)\n mask = F.pad(mask, (0, 1), value=True)\n if eos_token is not None and (torch.cumsum(out == eos_token, 1)\n [:, -1] >= 1).all():\n break\n out = out[:, t:]\n if num_dims == 1:\n out = out.squeeze(0)\n self.net.train(was_training)\n return out\n <function token>\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n\n\nclass CustomARWrapper(AutoregressiveWrapper):\n <function token>\n <function token>\n <function token>\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n<class token>\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n\n def forward(self, x):\n x = self.patch_embed(x)\n x = self.swin_layer(x)\n x = self.linear(x)\n x = self.norm(x)\n x = self.avg_pool(x)\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n<class token>\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n\n def __init__(self, swin_layer):\n super(CustomSwinTransformer, self).__init__()\n self.patch_embed = PatchEmbed(img_size=(112, 448), patch_size=4,\n in_chans=1, embed_dim=192)\n self.swin_layer = swin_layer\n self.linear = torch.nn.Linear(1536, 256)\n self.norm = torch.nn.LayerNorm((256,), eps=1e-06)\n self.avg_pool = torch.nn.AdaptiveAvgPool1d(output_size=1)\n <function token>\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n<class token>\n\n\nclass CustomSwinTransformer(torch.nn.Module):\n <function token>\n <function token>\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n<class token>\n<class token>\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n\n def forward(self, x: torch.Tensor, expected, is_train,\n teacher_focing_ratio=None):\n device = x.device\n encoded = self.encoder(x.to(device))\n dec = self.decoder.generate(torch.LongTensor([self.bos_token] * len\n (x))[:, None].to(device), self.max_seq_len, eos_token=self.\n eos_token, context=encoded, temperature=self.temperature)\n return dec\n",
"<import token>\n<assignment token>\n<class token>\n<class token>\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n\n def load_state_dict(self, state_dict, strict=True):\n total_parameters = 0\n matches = 0\n mismatches = 0\n with torch.no_grad():\n for name, param in self.named_parameters():\n total_parameters += 1\n try:\n param.copy_(state_dict[name])\n matches += 1\n except Exception as e:\n print(f'disable to get parameter : {name}')\n print(e)\n mismatches += 1\n continue\n print(\n f'Load weights : {matches}/{total_parameters} mathches, {mismatches} mismatches.'\n )\n <function token>\n",
"<import token>\n<assignment token>\n<class token>\n<class token>\n\n\nclass Swin(nn.Module):\n\n def __init__(self, FLAGS, train_dataset, checkpoint=None, temp=0.333):\n super(Swin, self).__init__()\n self.bos_token = train_dataset.token_to_id[START]\n self.eos_token = train_dataset.token_to_id[END]\n self.pad_token = train_dataset.token_to_id[PAD]\n self.max_seq_len = FLAGS.swin.max_seq_len\n self.temperature = temp\n sw = create_model('swin_large_patch4_window7_224', checkpoint_path=\n '/opt/ml/input/data/swin.pth')\n sl = deepcopy(sw.layers)\n del sw\n self.encoder = CustomSwinTransformer(sl)\n self.decoder = CustomARWrapper(TransformerWrapper(num_tokens=len(\n train_dataset.id_to_token), max_seq_len=self.max_seq_len,\n attn_layers=Decoder(dim=FLAGS.swin.decoder.dim, depth=FLAGS.\n swin.decoder.depth, heads=FLAGS.swin.decoder.heads,\n attn_on_attn=FLAGS.swin.decoder.args.attn_on_attn, cross_attend\n =FLAGS.swin.decoder.args.cross_attend, ff_glu=FLAGS.swin.\n decoder.args.ff_glu, rel_pos_bias=FLAGS.swin.decoder.args.\n rel_pos_bias, use_scalenorm=FLAGS.swin.decoder.args.\n use_scalenorm)), pad_value=self.pad_token)\n self.criterion = nn.CrossEntropyLoss()\n if checkpoint is not None:\n self.load_state_dict(checkpoint)\n <function token>\n <function token>\n",
"<import token>\n<assignment token>\n<class token>\n<class token>\n\n\nclass Swin(nn.Module):\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<assignment token>\n<class token>\n<class token>\n<class token>\n"
] | false |
98,757 |
c60dcf928ec12ee9134642a8e51972480f2b4f1c
|
from typing import Dict, Tuple
from uuid import uuid4
from httpx import AsyncClient
from conftest import app_base_url, TestUser
from main import app
async def get_friends(profile_id: str, conn: AsyncClient) -> Dict:
return (await conn.get(f"/profiles/{profile_id}/friends")).json()
async def get_mutual_friends(profile_id: str, other_profile_id: str,
conn: AsyncClient) -> Dict:
return (await conn.get(f"/profiles/{profile_id}/"
f"friends/{other_profile_id}/mutual_friends")).json()
async def get_friend_suggestions(profile_id: str, conn: AsyncClient) -> Dict:
return (await conn.get(f"/profiles/{profile_id}/friend_suggestions")).json()
async def get_relationship(profile_id: str,
other_profile_id: str,
conn: AsyncClient) -> Dict:
return (await conn.get(
f"/profiles/{profile_id}/relationships/{other_profile_id}")) \
.json()
async def send_friendship_request(profile_id: str,
other_profile_id: str,
conn: AsyncClient) -> Dict:
return (await conn.post(f"/profiles/{profile_id}/"
f"outgoing_friend_requests/{other_profile_id}")) \
.json()
async def accept_friendship_request(profile_id: str,
other_profile_id: str,
conn: AsyncClient) -> Dict:
return (await conn.post(f"/profiles/{profile_id}/"
f"friends/{other_profile_id}")).json()
async def reject_friendship_request(profile_id: str,
requester_profile_id: str,
conn: AsyncClient) -> Dict:
return (await conn.delete(f"/profiles/{profile_id}/"
f"incoming_friend_requests/"
f"{requester_profile_id}")).json()
async def cancel_outgoing_friend_request(profile_id: str,
target_profile_id: str,
conn: AsyncClient) -> Dict:
return (await conn.delete(
f"/profiles/{profile_id}/"
f"outgoing_friend_requests/{target_profile_id}")).json()
async def remove_friend(profile: TestUser, friend_profile: TestUser) -> Dict:
return (await profile.conn.delete(f"/profiles/{profile.id}/"
f"friends/{friend_profile.id}")).json()
async def become_friends(profile: TestUser, other_profile: TestUser):
await send_friendship_request(
other_profile.id, profile.id, other_profile.conn)
await accept_friendship_request(
profile.id, other_profile.id, profile.conn)
async def register_user(username: str, email: str, password: str):
async with AsyncClient(app=app,
base_url=app_base_url) as conn:
return await conn.post("/register", json=dict(
username=username,
email=email,
password=password))
async def register_random_user() -> Tuple[Dict, str]:
uid = str(uuid4())[:32]
username, email, password = uid, f"{uid}@bunnybook.com", "testpassword"
return (await register_user(username, email, password)).json(), password
async def do_login(email: str, password: str):
async with AsyncClient(app=app,
base_url=app_base_url) as conn:
return await conn.post("/login", json=dict(
email=email,
password=password))
|
[
"from typing import Dict, Tuple\nfrom uuid import uuid4\n\nfrom httpx import AsyncClient\n\nfrom conftest import app_base_url, TestUser\nfrom main import app\n\n\nasync def get_friends(profile_id: str, conn: AsyncClient) -> Dict:\n return (await conn.get(f\"/profiles/{profile_id}/friends\")).json()\n\n\nasync def get_mutual_friends(profile_id: str, other_profile_id: str,\n conn: AsyncClient) -> Dict:\n return (await conn.get(f\"/profiles/{profile_id}/\"\n f\"friends/{other_profile_id}/mutual_friends\")).json()\n\n\nasync def get_friend_suggestions(profile_id: str, conn: AsyncClient) -> Dict:\n return (await conn.get(f\"/profiles/{profile_id}/friend_suggestions\")).json()\n\n\nasync def get_relationship(profile_id: str,\n other_profile_id: str,\n conn: AsyncClient) -> Dict:\n return (await conn.get(\n f\"/profiles/{profile_id}/relationships/{other_profile_id}\")) \\\n .json()\n\n\nasync def send_friendship_request(profile_id: str,\n other_profile_id: str,\n conn: AsyncClient) -> Dict:\n return (await conn.post(f\"/profiles/{profile_id}/\"\n f\"outgoing_friend_requests/{other_profile_id}\")) \\\n .json()\n\n\nasync def accept_friendship_request(profile_id: str,\n other_profile_id: str,\n conn: AsyncClient) -> Dict:\n return (await conn.post(f\"/profiles/{profile_id}/\"\n f\"friends/{other_profile_id}\")).json()\n\n\nasync def reject_friendship_request(profile_id: str,\n requester_profile_id: str,\n conn: AsyncClient) -> Dict:\n return (await conn.delete(f\"/profiles/{profile_id}/\"\n f\"incoming_friend_requests/\"\n f\"{requester_profile_id}\")).json()\n\n\nasync def cancel_outgoing_friend_request(profile_id: str,\n target_profile_id: str,\n conn: AsyncClient) -> Dict:\n return (await conn.delete(\n f\"/profiles/{profile_id}/\"\n f\"outgoing_friend_requests/{target_profile_id}\")).json()\n\n\nasync def remove_friend(profile: TestUser, friend_profile: TestUser) -> Dict:\n return (await profile.conn.delete(f\"/profiles/{profile.id}/\"\n f\"friends/{friend_profile.id}\")).json()\n\n\nasync def become_friends(profile: TestUser, other_profile: TestUser):\n await send_friendship_request(\n other_profile.id, profile.id, other_profile.conn)\n await accept_friendship_request(\n profile.id, other_profile.id, profile.conn)\n\n\nasync def register_user(username: str, email: str, password: str):\n async with AsyncClient(app=app,\n base_url=app_base_url) as conn:\n return await conn.post(\"/register\", json=dict(\n username=username,\n email=email,\n password=password))\n\n\nasync def register_random_user() -> Tuple[Dict, str]:\n uid = str(uuid4())[:32]\n username, email, password = uid, f\"{uid}@bunnybook.com\", \"testpassword\"\n return (await register_user(username, email, password)).json(), password\n\n\nasync def do_login(email: str, password: str):\n async with AsyncClient(app=app,\n base_url=app_base_url) as conn:\n return await conn.post(\"/login\", json=dict(\n email=email,\n password=password))\n",
"from typing import Dict, Tuple\nfrom uuid import uuid4\nfrom httpx import AsyncClient\nfrom conftest import app_base_url, TestUser\nfrom main import app\n\n\nasync def get_friends(profile_id: str, conn: AsyncClient) ->Dict:\n return (await conn.get(f'/profiles/{profile_id}/friends')).json()\n\n\nasync def get_mutual_friends(profile_id: str, other_profile_id: str, conn:\n AsyncClient) ->Dict:\n return (await conn.get(\n f'/profiles/{profile_id}/friends/{other_profile_id}/mutual_friends')\n ).json()\n\n\nasync def get_friend_suggestions(profile_id: str, conn: AsyncClient) ->Dict:\n return (await conn.get(f'/profiles/{profile_id}/friend_suggestions')).json(\n )\n\n\nasync def get_relationship(profile_id: str, other_profile_id: str, conn:\n AsyncClient) ->Dict:\n return (await conn.get(\n f'/profiles/{profile_id}/relationships/{other_profile_id}')).json()\n\n\nasync def send_friendship_request(profile_id: str, other_profile_id: str,\n conn: AsyncClient) ->Dict:\n return (await conn.post(\n f'/profiles/{profile_id}/outgoing_friend_requests/{other_profile_id}')\n ).json()\n\n\nasync def accept_friendship_request(profile_id: str, other_profile_id: str,\n conn: AsyncClient) ->Dict:\n return (await conn.post(\n f'/profiles/{profile_id}/friends/{other_profile_id}')).json()\n\n\nasync def reject_friendship_request(profile_id: str, requester_profile_id:\n str, conn: AsyncClient) ->Dict:\n return (await conn.delete(\n f'/profiles/{profile_id}/incoming_friend_requests/{requester_profile_id}'\n )).json()\n\n\nasync def cancel_outgoing_friend_request(profile_id: str, target_profile_id:\n str, conn: AsyncClient) ->Dict:\n return (await conn.delete(\n f'/profiles/{profile_id}/outgoing_friend_requests/{target_profile_id}')\n ).json()\n\n\nasync def remove_friend(profile: TestUser, friend_profile: TestUser) ->Dict:\n return (await profile.conn.delete(\n f'/profiles/{profile.id}/friends/{friend_profile.id}')).json()\n\n\nasync def become_friends(profile: TestUser, other_profile: TestUser):\n await send_friendship_request(other_profile.id, profile.id,\n other_profile.conn)\n await accept_friendship_request(profile.id, other_profile.id, profile.conn)\n\n\nasync def register_user(username: str, email: str, password: str):\n async with AsyncClient(app=app, base_url=app_base_url) as conn:\n return await conn.post('/register', json=dict(username=username,\n email=email, password=password))\n\n\nasync def register_random_user() ->Tuple[Dict, str]:\n uid = str(uuid4())[:32]\n username, email, password = uid, f'{uid}@bunnybook.com', 'testpassword'\n return (await register_user(username, email, password)).json(), password\n\n\nasync def do_login(email: str, password: str):\n async with AsyncClient(app=app, base_url=app_base_url) as conn:\n return await conn.post('/login', json=dict(email=email, password=\n password))\n",
"<import token>\n\n\nasync def get_friends(profile_id: str, conn: AsyncClient) ->Dict:\n return (await conn.get(f'/profiles/{profile_id}/friends')).json()\n\n\nasync def get_mutual_friends(profile_id: str, other_profile_id: str, conn:\n AsyncClient) ->Dict:\n return (await conn.get(\n f'/profiles/{profile_id}/friends/{other_profile_id}/mutual_friends')\n ).json()\n\n\nasync def get_friend_suggestions(profile_id: str, conn: AsyncClient) ->Dict:\n return (await conn.get(f'/profiles/{profile_id}/friend_suggestions')).json(\n )\n\n\nasync def get_relationship(profile_id: str, other_profile_id: str, conn:\n AsyncClient) ->Dict:\n return (await conn.get(\n f'/profiles/{profile_id}/relationships/{other_profile_id}')).json()\n\n\nasync def send_friendship_request(profile_id: str, other_profile_id: str,\n conn: AsyncClient) ->Dict:\n return (await conn.post(\n f'/profiles/{profile_id}/outgoing_friend_requests/{other_profile_id}')\n ).json()\n\n\nasync def accept_friendship_request(profile_id: str, other_profile_id: str,\n conn: AsyncClient) ->Dict:\n return (await conn.post(\n f'/profiles/{profile_id}/friends/{other_profile_id}')).json()\n\n\nasync def reject_friendship_request(profile_id: str, requester_profile_id:\n str, conn: AsyncClient) ->Dict:\n return (await conn.delete(\n f'/profiles/{profile_id}/incoming_friend_requests/{requester_profile_id}'\n )).json()\n\n\nasync def cancel_outgoing_friend_request(profile_id: str, target_profile_id:\n str, conn: AsyncClient) ->Dict:\n return (await conn.delete(\n f'/profiles/{profile_id}/outgoing_friend_requests/{target_profile_id}')\n ).json()\n\n\nasync def remove_friend(profile: TestUser, friend_profile: TestUser) ->Dict:\n return (await profile.conn.delete(\n f'/profiles/{profile.id}/friends/{friend_profile.id}')).json()\n\n\nasync def become_friends(profile: TestUser, other_profile: TestUser):\n await send_friendship_request(other_profile.id, profile.id,\n other_profile.conn)\n await accept_friendship_request(profile.id, other_profile.id, profile.conn)\n\n\nasync def register_user(username: str, email: str, password: str):\n async with AsyncClient(app=app, base_url=app_base_url) as conn:\n return await conn.post('/register', json=dict(username=username,\n email=email, password=password))\n\n\nasync def register_random_user() ->Tuple[Dict, str]:\n uid = str(uuid4())[:32]\n username, email, password = uid, f'{uid}@bunnybook.com', 'testpassword'\n return (await register_user(username, email, password)).json(), password\n\n\nasync def do_login(email: str, password: str):\n async with AsyncClient(app=app, base_url=app_base_url) as conn:\n return await conn.post('/login', json=dict(email=email, password=\n password))\n",
"<import token>\n<code token>\n"
] | false |
98,758 |
3873b5cdb77b5f44157e0236d30cf11c0c0dbd8c
|
#Ismael Garrido pi_approximation.py
def main():
print("This program approximates the value of pi")
print("by summing a series of n terms to an extent determined by the user")
terms = int(input("Please enter the amount of iterations you want the program to make: "))
result = 0
sign = 1
for n in range(terms):
result += sign/(2*n+1)
sign = -sign
print("The approximated value of pi is", 4*result)
main()
"""
This program approximates the value of pi
by summing a series of n terms to an extent determined by the user
Please enter the amount of iterations you want the program to make: 1
The approximated value of pi is 4.0
>>> main()
This program approximates the value of pi
by summing a series of n terms to an extent determined by the user
Please enter the amount of iterations you want the program to make: 2
The approximated value of pi is 2.666666666666667
>>> main()
This program approximates the value of pi
by summing a series of n terms to an extent determined by the user
Please enter the amount of iterations you want the program to make: 3
The approximated value of pi is 3.466666666666667
>>> main()
This program approximates the value of pi
by summing a series of n terms to an extent determined by the user
Please enter the amount of iterations you want the program to make: 4
The approximated value of pi is 2.8952380952380956
"""
|
[
"#Ismael Garrido pi_approximation.py\r\n\r\ndef main():\r\n print(\"This program approximates the value of pi\")\r\n print(\"by summing a series of n terms to an extent determined by the user\")\r\n terms = int(input(\"Please enter the amount of iterations you want the program to make: \"))\r\n result = 0\r\n sign = 1\r\n for n in range(terms):\r\n result += sign/(2*n+1)\r\n sign = -sign\r\n print(\"The approximated value of pi is\", 4*result)\r\n\r\nmain()\r\n\r\n\"\"\"\r\nThis program approximates the value of pi\r\nby summing a series of n terms to an extent determined by the user\r\nPlease enter the amount of iterations you want the program to make: 1\r\nThe approximated value of pi is 4.0\r\n>>> main()\r\nThis program approximates the value of pi\r\nby summing a series of n terms to an extent determined by the user\r\nPlease enter the amount of iterations you want the program to make: 2\r\nThe approximated value of pi is 2.666666666666667\r\n>>> main()\r\nThis program approximates the value of pi\r\nby summing a series of n terms to an extent determined by the user\r\nPlease enter the amount of iterations you want the program to make: 3\r\nThe approximated value of pi is 3.466666666666667\r\n>>> main()\r\nThis program approximates the value of pi\r\nby summing a series of n terms to an extent determined by the user\r\nPlease enter the amount of iterations you want the program to make: 4\r\nThe approximated value of pi is 2.8952380952380956\r\n\"\"\"\r\n",
"def main():\n print('This program approximates the value of pi')\n print('by summing a series of n terms to an extent determined by the user')\n terms = int(input(\n 'Please enter the amount of iterations you want the program to make: ')\n )\n result = 0\n sign = 1\n for n in range(terms):\n result += sign / (2 * n + 1)\n sign = -sign\n print('The approximated value of pi is', 4 * result)\n\n\nmain()\n<docstring token>\n",
"def main():\n print('This program approximates the value of pi')\n print('by summing a series of n terms to an extent determined by the user')\n terms = int(input(\n 'Please enter the amount of iterations you want the program to make: ')\n )\n result = 0\n sign = 1\n for n in range(terms):\n result += sign / (2 * n + 1)\n sign = -sign\n print('The approximated value of pi is', 4 * result)\n\n\n<code token>\n<docstring token>\n",
"<function token>\n<code token>\n<docstring token>\n"
] | false |
98,759 |
88faa5db4877951cea639d25854d06d8fc1bb930
|
t = int(input())
for i in range(t):
n = int(input())
words = [input() for i in range(n)]
s01 = []
s10 = []
set01 = set()
set10 = set()
s00 = False
s11 = False
for i, word in enumerate(words):
if word[0] == "1" and word[-1] == "0": s10.append(i+1); set10.add(word)
if word[0] == "0" and word[-1] == "1": s01.append(i+1); set01.add(word)
if word[0] == "0" and word[-1] == "0": s00 = True
if word[0] == "1" and word[-1] == "1": s11 = True
s01c = len(s01)
s10c = len(s10)
if (s01c + s10c == 0) and s00 and s11:
print(-1)
continue
reverse = []
try:
while True:
if abs(s01c - s10c) <= 1: break
if s01c > s10c:
i = s01.pop()
while words[i-1][::-1] in set10: i = s01.pop();
s01c -= 1;
s10c += 1;
reverse.append(i)
else:
i = s10.pop()
while words[i-1][::-1] in set01: i = s10.pop()
s01c += 1;
s10c -= 1;
reverse.append(i)
except:
print(-1)
print(len(reverse))
print(" ".join(map(str, reverse)))
|
[
"t = int(input())\nfor i in range(t):\n n = int(input())\n words = [input() for i in range(n)]\n\n s01 = []\n s10 = []\n set01 = set()\n set10 = set()\n s00 = False\n s11 = False\n for i, word in enumerate(words):\n if word[0] == \"1\" and word[-1] == \"0\": s10.append(i+1); set10.add(word)\n if word[0] == \"0\" and word[-1] == \"1\": s01.append(i+1); set01.add(word)\n if word[0] == \"0\" and word[-1] == \"0\": s00 = True\n if word[0] == \"1\" and word[-1] == \"1\": s11 = True\n \n s01c = len(s01)\n s10c = len(s10)\n\n if (s01c + s10c == 0) and s00 and s11:\n print(-1)\n continue\n \n reverse = []\n try:\n while True:\n if abs(s01c - s10c) <= 1: break\n\n if s01c > s10c:\n i = s01.pop()\n while words[i-1][::-1] in set10: i = s01.pop(); \n s01c -= 1;\n s10c += 1;\n reverse.append(i)\n else:\n i = s10.pop()\n while words[i-1][::-1] in set01: i = s10.pop()\n s01c += 1;\n s10c -= 1;\n reverse.append(i)\n except:\n print(-1)\n print(len(reverse))\n print(\" \".join(map(str, reverse)))\n \n",
"t = int(input())\nfor i in range(t):\n n = int(input())\n words = [input() for i in range(n)]\n s01 = []\n s10 = []\n set01 = set()\n set10 = set()\n s00 = False\n s11 = False\n for i, word in enumerate(words):\n if word[0] == '1' and word[-1] == '0':\n s10.append(i + 1)\n set10.add(word)\n if word[0] == '0' and word[-1] == '1':\n s01.append(i + 1)\n set01.add(word)\n if word[0] == '0' and word[-1] == '0':\n s00 = True\n if word[0] == '1' and word[-1] == '1':\n s11 = True\n s01c = len(s01)\n s10c = len(s10)\n if s01c + s10c == 0 and s00 and s11:\n print(-1)\n continue\n reverse = []\n try:\n while True:\n if abs(s01c - s10c) <= 1:\n break\n if s01c > s10c:\n i = s01.pop()\n while words[i - 1][::-1] in set10:\n i = s01.pop()\n s01c -= 1\n s10c += 1\n reverse.append(i)\n else:\n i = s10.pop()\n while words[i - 1][::-1] in set01:\n i = s10.pop()\n s01c += 1\n s10c -= 1\n reverse.append(i)\n except:\n print(-1)\n print(len(reverse))\n print(' '.join(map(str, reverse)))\n",
"<assignment token>\nfor i in range(t):\n n = int(input())\n words = [input() for i in range(n)]\n s01 = []\n s10 = []\n set01 = set()\n set10 = set()\n s00 = False\n s11 = False\n for i, word in enumerate(words):\n if word[0] == '1' and word[-1] == '0':\n s10.append(i + 1)\n set10.add(word)\n if word[0] == '0' and word[-1] == '1':\n s01.append(i + 1)\n set01.add(word)\n if word[0] == '0' and word[-1] == '0':\n s00 = True\n if word[0] == '1' and word[-1] == '1':\n s11 = True\n s01c = len(s01)\n s10c = len(s10)\n if s01c + s10c == 0 and s00 and s11:\n print(-1)\n continue\n reverse = []\n try:\n while True:\n if abs(s01c - s10c) <= 1:\n break\n if s01c > s10c:\n i = s01.pop()\n while words[i - 1][::-1] in set10:\n i = s01.pop()\n s01c -= 1\n s10c += 1\n reverse.append(i)\n else:\n i = s10.pop()\n while words[i - 1][::-1] in set01:\n i = s10.pop()\n s01c += 1\n s10c -= 1\n reverse.append(i)\n except:\n print(-1)\n print(len(reverse))\n print(' '.join(map(str, reverse)))\n",
"<assignment token>\n<code token>\n"
] | false |
98,760 |
447dd7ae9aee713afea82ceaf1488da2a3fec83b
|
from rest_framework import serializers
from HttpTestcas.models import Testsuite
from HttpTestcas.serializers.project import ProjectModuleSerializer
# from HttpTestcas.models.testsuite2testcase import Testsuite2Testcase
from HttpTestcas.models import Testcases
# class Testsuite2TestcaseModuleSerializer(serializers.ModelSerializer):
# class Meta:
# model = Testsuite2Testcase
# fields = ('id', 'name', 'is_delete')
class TestSuiteSerializer(serializers.ModelSerializer):
project = ProjectModuleSerializer()
testcases = serializers.SerializerMethodField()
# Testsuite2Testcase = Testsuite2TestcaseModuleSerializer()
def get_testcases(self, obj):
result = obj.testcases.values('id', 'name', 'is_delete')
return result
class Meta:
model = Testsuite
fields = '__all__'
class TestCreatsuiteSerializer(serializers.ModelSerializer):
class Meta:
model = Testsuite
exclude = ('status', 'testcases')
|
[
"from rest_framework import serializers\nfrom HttpTestcas.models import Testsuite\nfrom HttpTestcas.serializers.project import ProjectModuleSerializer\n# from HttpTestcas.models.testsuite2testcase import Testsuite2Testcase\nfrom HttpTestcas.models import Testcases\n\n\n# class Testsuite2TestcaseModuleSerializer(serializers.ModelSerializer):\n# class Meta:\n# model = Testsuite2Testcase\n# fields = ('id', 'name', 'is_delete')\n\n\nclass TestSuiteSerializer(serializers.ModelSerializer):\n project = ProjectModuleSerializer()\n testcases = serializers.SerializerMethodField()\n\n # Testsuite2Testcase = Testsuite2TestcaseModuleSerializer()\n\n def get_testcases(self, obj):\n result = obj.testcases.values('id', 'name', 'is_delete')\n return result\n\n class Meta:\n model = Testsuite\n fields = '__all__'\n\n\nclass TestCreatsuiteSerializer(serializers.ModelSerializer):\n class Meta:\n model = Testsuite\n exclude = ('status', 'testcases')\n",
"from rest_framework import serializers\nfrom HttpTestcas.models import Testsuite\nfrom HttpTestcas.serializers.project import ProjectModuleSerializer\nfrom HttpTestcas.models import Testcases\n\n\nclass TestSuiteSerializer(serializers.ModelSerializer):\n project = ProjectModuleSerializer()\n testcases = serializers.SerializerMethodField()\n\n def get_testcases(self, obj):\n result = obj.testcases.values('id', 'name', 'is_delete')\n return result\n\n\n class Meta:\n model = Testsuite\n fields = '__all__'\n\n\nclass TestCreatsuiteSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Testsuite\n exclude = 'status', 'testcases'\n",
"<import token>\n\n\nclass TestSuiteSerializer(serializers.ModelSerializer):\n project = ProjectModuleSerializer()\n testcases = serializers.SerializerMethodField()\n\n def get_testcases(self, obj):\n result = obj.testcases.values('id', 'name', 'is_delete')\n return result\n\n\n class Meta:\n model = Testsuite\n fields = '__all__'\n\n\nclass TestCreatsuiteSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Testsuite\n exclude = 'status', 'testcases'\n",
"<import token>\n\n\nclass TestSuiteSerializer(serializers.ModelSerializer):\n <assignment token>\n <assignment token>\n\n def get_testcases(self, obj):\n result = obj.testcases.values('id', 'name', 'is_delete')\n return result\n\n\n class Meta:\n model = Testsuite\n fields = '__all__'\n\n\nclass TestCreatsuiteSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Testsuite\n exclude = 'status', 'testcases'\n",
"<import token>\n\n\nclass TestSuiteSerializer(serializers.ModelSerializer):\n <assignment token>\n <assignment token>\n <function token>\n\n\n class Meta:\n model = Testsuite\n fields = '__all__'\n\n\nclass TestCreatsuiteSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Testsuite\n exclude = 'status', 'testcases'\n",
"<import token>\n<class token>\n\n\nclass TestCreatsuiteSerializer(serializers.ModelSerializer):\n\n\n class Meta:\n model = Testsuite\n exclude = 'status', 'testcases'\n",
"<import token>\n<class token>\n<class token>\n"
] | false |
98,761 |
2a68719904eafed473a154fa352139eb74e7a266
|
import os, sys, subprocess, tempfile, gzip, cStringIO
from boto.s3.connection import S3Connection
from boto.s3.key import Key
conn = S3Connection()
bucket = conn.get_bucket("openinternet.widgets.sunlightfoundation.com")
base = sys.argv[1]
for f in os.listdir(base):
combined = os.path.join(base, f)
if os.path.isdir(combined):
for j in os.listdir(combined):
print "uploading", j
k = Key(bucket)
k.key = os.path.join("data", j)
gzdata = cStringIO.StringIO()
gzfile = gzip.GzipFile(fileobj=gzdata, mode="wb")
gzfile.write(open(os.path.join(combined, j)).read())
gzfile.close()
gzdata.seek(0)
k.set_metadata('Content-Type', 'application/json')
k.set_metadata('Content-Encoding', 'gzip')
k.set_contents_from_file(gzdata)
k.set_acl('public-read')
|
[
"import os, sys, subprocess, tempfile, gzip, cStringIO\nfrom boto.s3.connection import S3Connection\nfrom boto.s3.key import Key\n\nconn = S3Connection()\nbucket = conn.get_bucket(\"openinternet.widgets.sunlightfoundation.com\")\n\nbase = sys.argv[1]\nfor f in os.listdir(base):\n combined = os.path.join(base, f)\n if os.path.isdir(combined):\n for j in os.listdir(combined):\n print \"uploading\", j\n\n k = Key(bucket)\n k.key = os.path.join(\"data\", j)\n\n gzdata = cStringIO.StringIO()\n gzfile = gzip.GzipFile(fileobj=gzdata, mode=\"wb\")\n\n gzfile.write(open(os.path.join(combined, j)).read())\n gzfile.close()\n\n gzdata.seek(0)\n\n k.set_metadata('Content-Type', 'application/json')\n k.set_metadata('Content-Encoding', 'gzip')\n k.set_contents_from_file(gzdata)\n k.set_acl('public-read')"
] | true |
98,762 |
a55c30f061b5c76a8cda317a8a1e300256be51d4
|
import urllib2
print "OK"
|
[
"import urllib2\nprint \"OK\""
] | true |
98,763 |
8951b3ed776912900aa4079c780c6b4f400dc6f9
|
import os
from manager.shared import koality_root
from manager.shared.script import Script, ShellScript
from scripts import package_scripts
class Packager(object):
version = '0.2-internal-1'
packaged_directory = os.path.join('/tmp', 'koality', version)
internal_packaged_directory = os.path.abspath(os.path.join(packaged_directory, 'koality'))
def run(self, installable=False):
self._run_with_exceptions(package_scripts)
if installable:
self._run_with_exceptions([Packager.RepackageScript, Packager.AddInstallationScripts, Packager.TarScript])
def _run_with_exceptions(self, scripts):
for script in scripts:
if not script.run():
raise ScriptFailedException(script)
return True
class RepackageScript(ShellScript):
@classmethod
def get_script(cls):
return cls.multiline(
'rm -rf %s' % Packager.packaged_directory,
'mkdir -p %s' % Packager.packaged_directory,
'cp -r %s %s' % (koality_root, Packager.internal_packaged_directory),
'rm -rf %s' % os.path.join(Packager.internal_packaged_directory, 'manager', 'package'),
'rm -rf %s' % os.path.join(Packager.internal_packaged_directory, 'dependencies', 'cached'),
'rm -rf %s' % os.path.join(Packager.internal_packaged_directory, '.git')
)
class AddInstallationScripts(Script):
@classmethod
def run(cls):
install_script_path = os.path.join(Packager.packaged_directory, 'install_script')
with open(install_script_path, 'w') as install_script:
install_script.write(ShellScript.multiline(
'#!/bin/sh',
'cd $(dirname $0)',
'mv koality/* .',
'rm koality/.*',
'rmdir koality',
'sudo ./koality.py install'
))
os.chmod(install_script_path, 0777)
upgrade_script_path = os.path.join(Packager.packaged_directory, 'upgrade_script')
with open(upgrade_script_path, 'w') as upgrade_script:
upgrade_script.write(ShellScript.multiline(
'#!/bin/sh',
'cd $(dirname $0)',
'oldroot=$(readlink -f /etc/koality/root)',
'newroot=$(readlink -m $oldroot/../%s)' % Packager.version,
'if [ -e "$newroot" ]; then',
' rm -rf $newroot.bak',
' sudo chown -R lt3:lt3 $newroot/..',
' mv $newroot $newroot.bak',
'fi',
'mv koality $newroot',
'cd $newroot',
'sudo ./koality.py upgrade > $(dirname $0)/upgrade.log 2>&1'
))
os.chmod(upgrade_script_path, 0777)
revert_script_path = os.path.join(Packager.packaged_directory, 'revert_script')
with open(revert_script_path, 'w') as revert_script:
revert_script.write(ShellScript.multiline(
'#!/bin/sh',
'koalityroot=$(readlink -f /etc/koality/root)',
'if [ -e "${koalityroot}.bak" ]; then',
' mv "${koalityroot}.bak" "$koalityroot"',
' sudo service koality restart',
'fi',
))
os.chmod(revert_script_path, 0777)
return True
class TarScript(ShellScript):
@classmethod
def get_script(cls):
tarfile = 'koality-%s.tar.gz' % Packager.version
return cls.multiline(
'cd %s' % os.path.join(Packager.packaged_directory, os.pardir),
'tar -czf %s %s' % (
tarfile,
Packager.version
),
'rm -rf %s' % Packager.packaged_directory,
'mv %s %s' % (
tarfile,
os.path.join(koality_root, os.pardir)
)
)
class ScriptFailedException(Exception):
pass
|
[
"import os\n\nfrom manager.shared import koality_root\nfrom manager.shared.script import Script, ShellScript\nfrom scripts import package_scripts\n\n\nclass Packager(object):\n\tversion = '0.2-internal-1'\n\tpackaged_directory = os.path.join('/tmp', 'koality', version)\n\tinternal_packaged_directory = os.path.abspath(os.path.join(packaged_directory, 'koality'))\n\n\tdef run(self, installable=False):\n\t\tself._run_with_exceptions(package_scripts)\n\n\t\tif installable:\n\t\t\tself._run_with_exceptions([Packager.RepackageScript, Packager.AddInstallationScripts, Packager.TarScript])\n\n\tdef _run_with_exceptions(self, scripts):\n\t\tfor script in scripts:\n\t\t\tif not script.run():\n\t\t\t\traise ScriptFailedException(script)\n\t\treturn True\n\n\tclass RepackageScript(ShellScript):\n\t\t@classmethod\n\t\tdef get_script(cls):\n\t\t\treturn cls.multiline(\n\t\t\t\t'rm -rf %s' % Packager.packaged_directory,\n\t\t\t\t'mkdir -p %s' % Packager.packaged_directory,\n\t\t\t\t'cp -r %s %s' % (koality_root, Packager.internal_packaged_directory),\n\t\t\t\t'rm -rf %s' % os.path.join(Packager.internal_packaged_directory, 'manager', 'package'),\n\t\t\t\t'rm -rf %s' % os.path.join(Packager.internal_packaged_directory, 'dependencies', 'cached'),\n\t\t\t\t'rm -rf %s' % os.path.join(Packager.internal_packaged_directory, '.git')\n\t\t\t)\n\n\tclass AddInstallationScripts(Script):\n\t\t@classmethod\n\t\tdef run(cls):\n\t\t\tinstall_script_path = os.path.join(Packager.packaged_directory, 'install_script')\n\t\t\twith open(install_script_path, 'w') as install_script:\n\t\t\t\tinstall_script.write(ShellScript.multiline(\n\t\t\t\t\t'#!/bin/sh',\n\t\t\t\t\t'cd $(dirname $0)',\n\t\t\t\t\t'mv koality/* .',\n\t\t\t\t\t'rm koality/.*',\n\t\t\t\t\t'rmdir koality',\n\t\t\t\t\t'sudo ./koality.py install'\n\t\t\t\t))\n\t\t\t\tos.chmod(install_script_path, 0777)\n\t\t\tupgrade_script_path = os.path.join(Packager.packaged_directory, 'upgrade_script')\n\t\t\twith open(upgrade_script_path, 'w') as upgrade_script:\n\t\t\t\tupgrade_script.write(ShellScript.multiline(\n\t\t\t\t\t'#!/bin/sh',\n\t\t\t\t\t'cd $(dirname $0)',\n\t\t\t\t\t'oldroot=$(readlink -f /etc/koality/root)',\n\t\t\t\t\t'newroot=$(readlink -m $oldroot/../%s)' % Packager.version,\n\t\t\t\t\t'if [ -e \"$newroot\" ]; then',\n\t\t\t\t\t'\trm -rf $newroot.bak',\n\t\t\t\t\t'\tsudo chown -R lt3:lt3 $newroot/..',\n\t\t\t\t\t'\tmv $newroot $newroot.bak',\n\t\t\t\t\t'fi',\n\t\t\t\t\t'mv koality $newroot',\n\t\t\t\t\t'cd $newroot',\n\t\t\t\t\t'sudo ./koality.py upgrade > $(dirname $0)/upgrade.log 2>&1'\n\t\t\t\t))\n\t\t\t\tos.chmod(upgrade_script_path, 0777)\n\t\t\trevert_script_path = os.path.join(Packager.packaged_directory, 'revert_script')\n\t\t\twith open(revert_script_path, 'w') as revert_script:\n\t\t\t\trevert_script.write(ShellScript.multiline(\n\t\t\t\t\t'#!/bin/sh',\n\t\t\t\t\t'koalityroot=$(readlink -f /etc/koality/root)',\n\t\t\t\t\t'if [ -e \"${koalityroot}.bak\" ]; then',\n\t\t\t\t\t'\tmv \"${koalityroot}.bak\" \"$koalityroot\"',\n\t\t\t\t\t'\tsudo service koality restart',\n\t\t\t\t\t'fi',\n\t\t\t\t))\n\t\t\t\tos.chmod(revert_script_path, 0777)\n\t\t\treturn True\n\n\tclass TarScript(ShellScript):\n\t\t@classmethod\n\t\tdef get_script(cls):\n\t\t\ttarfile = 'koality-%s.tar.gz' % Packager.version\n\t\t\treturn cls.multiline(\n\t\t\t\t'cd %s' % os.path.join(Packager.packaged_directory, os.pardir),\n\t\t\t\t'tar -czf %s %s' % (\n\t\t\t\t\ttarfile,\n\t\t\t\t\tPackager.version\n\t\t\t\t),\n\t\t\t\t'rm -rf %s' % Packager.packaged_directory,\n\t\t\t\t'mv %s %s' % (\n\t\t\t\t\ttarfile,\n\t\t\t\t\tos.path.join(koality_root, os.pardir)\n\t\t\t\t)\n\t\t\t)\n\n\nclass ScriptFailedException(Exception):\n\tpass\n"
] | true |
98,764 |
cd11f25af7436028684d75320582855500cf971d
|
import os, sys, glob
import argparse
import numpy as np
import pyfits
# np.seterr(invalid='raise')
import polsalt
datadir = os.path.dirname(polsalt.__file__)+'/data/'
from polsalt.imred import imred
from polsalt.specpolwavmap import specpolwavmap
from polsalt.specpolextract import specpolextract
from polsalt.specpolrawstokes import specpolrawstokes
from polsalt.specpolfinalstokes import specpolfinalstokes
logfile = 'temp.log'
#raw stokes
#infile_list = sorted(glob.glob('e*0[6-9].fits')) # subselection
infile_list = sorted(glob.glob('e*fits'))
specpolrawstokes(infile_list, logfile=logfile)
#final stokes
#polcal = 'polcal0.txt' # null calibration
#infile_list = sorted(glob.glob('*_h[0,2]*.fits')) # subselection
polcal = 'polcal.txt'
infile_list = sorted(glob.glob('*_h*.fits'))
specpolfinalstokes(infile_list, polcal=polcal, logfile=logfile)
|
[
"import os, sys, glob\nimport argparse\nimport numpy as np\nimport pyfits\n\n# np.seterr(invalid='raise')\n\nimport polsalt\ndatadir = os.path.dirname(polsalt.__file__)+'/data/'\nfrom polsalt.imred import imred\n\nfrom polsalt.specpolwavmap import specpolwavmap\nfrom polsalt.specpolextract import specpolextract\nfrom polsalt.specpolrawstokes import specpolrawstokes\nfrom polsalt.specpolfinalstokes import specpolfinalstokes\n\nlogfile = 'temp.log'\n#raw stokes\n#infile_list = sorted(glob.glob('e*0[6-9].fits')) # subselection\ninfile_list = sorted(glob.glob('e*fits'))\nspecpolrawstokes(infile_list, logfile=logfile)\n\n#final stokes\n#polcal = 'polcal0.txt' # null calibration\n#infile_list = sorted(glob.glob('*_h[0,2]*.fits')) # subselection \npolcal = 'polcal.txt'\ninfile_list = sorted(glob.glob('*_h*.fits'))\nspecpolfinalstokes(infile_list, polcal=polcal, logfile=logfile)\n",
"import os, sys, glob\nimport argparse\nimport numpy as np\nimport pyfits\nimport polsalt\ndatadir = os.path.dirname(polsalt.__file__) + '/data/'\nfrom polsalt.imred import imred\nfrom polsalt.specpolwavmap import specpolwavmap\nfrom polsalt.specpolextract import specpolextract\nfrom polsalt.specpolrawstokes import specpolrawstokes\nfrom polsalt.specpolfinalstokes import specpolfinalstokes\nlogfile = 'temp.log'\ninfile_list = sorted(glob.glob('e*fits'))\nspecpolrawstokes(infile_list, logfile=logfile)\npolcal = 'polcal.txt'\ninfile_list = sorted(glob.glob('*_h*.fits'))\nspecpolfinalstokes(infile_list, polcal=polcal, logfile=logfile)\n",
"<import token>\ndatadir = os.path.dirname(polsalt.__file__) + '/data/'\n<import token>\nlogfile = 'temp.log'\ninfile_list = sorted(glob.glob('e*fits'))\nspecpolrawstokes(infile_list, logfile=logfile)\npolcal = 'polcal.txt'\ninfile_list = sorted(glob.glob('*_h*.fits'))\nspecpolfinalstokes(infile_list, polcal=polcal, logfile=logfile)\n",
"<import token>\n<assignment token>\n<import token>\n<assignment token>\nspecpolrawstokes(infile_list, logfile=logfile)\n<assignment token>\nspecpolfinalstokes(infile_list, polcal=polcal, logfile=logfile)\n",
"<import token>\n<assignment token>\n<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,765 |
80182c3dc80ce01595f38568d3d2af63f6f718ba
|
from abc import ABC, abstractmethod, abstractproperty
class IUser(ABC):
"""
abstract class for homeless shelter site admin
"""
@property
@abstractproperty
def user_id(self):
pass
@property
@abstractproperty
def username(self):
pass
@property
@abstractproperty
def password(self):
pass
@property
@abstractproperty
def firstname(self):
pass
@abstractmethod
def lastname(self):
pass
@abstractmethod
def user_type(self):
pass
class User(IUser):
def __init__(self, user_id, username, password, firstname, lastname, user_type):
self._user_id = user_id
self._username = username
self._password = password
self._firstname = firstname
self._lastname = lastname
self._user_type = user_type
@property
def user_id(self):
return self._user_id
@property
def username(self):
return self._username
@property
def password(self):
return self._password
@property
def firstname(self):
return self._firstname
@property
def lastname(self):
return self._lastname
@property
def user_type(self):
return self._user_type
|
[
"from abc import ABC, abstractmethod, abstractproperty\n\n\nclass IUser(ABC):\n \"\"\"\n abstract class for homeless shelter site admin\n \"\"\"\n\n @property\n @abstractproperty\n def user_id(self):\n pass\n\n @property\n @abstractproperty\n def username(self):\n pass\n\n @property\n @abstractproperty\n def password(self):\n pass\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n\n @abstractmethod\n def user_type(self):\n pass\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname, user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n\n\n",
"from abc import ABC, abstractmethod, abstractproperty\n\n\nclass IUser(ABC):\n \"\"\"\n abstract class for homeless shelter site admin\n \"\"\"\n\n @property\n @abstractproperty\n def user_id(self):\n pass\n\n @property\n @abstractproperty\n def username(self):\n pass\n\n @property\n @abstractproperty\n def password(self):\n pass\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n\n @abstractmethod\n def user_type(self):\n pass\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n \"\"\"\n abstract class for homeless shelter site admin\n \"\"\"\n\n @property\n @abstractproperty\n def user_id(self):\n pass\n\n @property\n @abstractproperty\n def username(self):\n pass\n\n @property\n @abstractproperty\n def password(self):\n pass\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n\n @abstractmethod\n def user_type(self):\n pass\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n\n @property\n @abstractproperty\n def user_id(self):\n pass\n\n @property\n @abstractproperty\n def username(self):\n pass\n\n @property\n @abstractproperty\n def password(self):\n pass\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n\n @abstractmethod\n def user_type(self):\n pass\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n\n @property\n @abstractproperty\n def user_id(self):\n pass\n\n @property\n @abstractproperty\n def username(self):\n pass\n\n @property\n @abstractproperty\n def password(self):\n pass\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n <function token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n <function token>\n\n @property\n @abstractproperty\n def username(self):\n pass\n\n @property\n @abstractproperty\n def password(self):\n pass\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n <function token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n <function token>\n\n @property\n @abstractproperty\n def username(self):\n pass\n <function token>\n\n @property\n @abstractproperty\n def firstname(self):\n pass\n\n @abstractmethod\n def lastname(self):\n pass\n <function token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n <function token>\n\n @property\n @abstractproperty\n def username(self):\n pass\n <function token>\n <function token>\n\n @abstractmethod\n def lastname(self):\n pass\n <function token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n <function token>\n\n @property\n @abstractproperty\n def username(self):\n pass\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n\n\nclass IUser(ABC):\n <docstring token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n\n @property\n def user_type(self):\n return self._user_type\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n\n @property\n def username(self):\n return self._username\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n <function token>\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n <function token>\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n\n @property\n def lastname(self):\n return self._lastname\n <function token>\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n <function token>\n\n @property\n def password(self):\n return self._password\n\n @property\n def firstname(self):\n return self._firstname\n <function token>\n <function token>\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n\n @property\n def user_id(self):\n return self._user_id\n <function token>\n <function token>\n\n @property\n def firstname(self):\n return self._firstname\n <function token>\n <function token>\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n <function token>\n <function token>\n <function token>\n\n @property\n def firstname(self):\n return self._firstname\n <function token>\n <function token>\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n\n def __init__(self, user_id, username, password, firstname, lastname,\n user_type):\n self._user_id = user_id\n self._username = username\n self._password = password\n self._firstname = firstname\n self._lastname = lastname\n self._user_type = user_type\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n\n\nclass User(IUser):\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n<class token>\n"
] | false |
98,766 |
c0e5d97f8732144b12d6597ccca73c78b56193bb
|
# Calculate estimated success rate when transfering network from 3pc to 4pc, withut retraining.
import numpy as np
count3 = np.array([0, 38368,124960])
total3 = count3.sum()
count4 = np.array([1737970, 2485090, 3213028])
total4 = count4.sum()
p3 = [i/total3 for i in count3]
p4 = [i/total4 for i in count4]
P = np.array([p3[i]*p4[i] for i in range(3)]).sum()
print("When training net N on 3pc dataset, and using it to estimate a 4pc dataset.Then the estimated probability of guessing right, given that the net guesses randomly for an outcome with probabilities p3 and p4, is P = ",\
round(P,3))
p3 = [round(i,3) for i in p3]
p4 = [round(i,3) for i in p4]
print(p3)
print(p4)
|
[
"# Calculate estimated success rate when transfering network from 3pc to 4pc, withut retraining.\nimport numpy as np\n\ncount3 = np.array([0, 38368,124960])\ntotal3 = count3.sum()\ncount4 = np.array([1737970, 2485090, 3213028])\ntotal4 = count4.sum()\n\np3 = [i/total3 for i in count3]\np4 = [i/total4 for i in count4]\n\nP = np.array([p3[i]*p4[i] for i in range(3)]).sum()\nprint(\"When training net N on 3pc dataset, and using it to estimate a 4pc dataset.Then the estimated probability of guessing right, given that the net guesses randomly for an outcome with probabilities p3 and p4, is P = \",\\\n round(P,3))\n\np3 = [round(i,3) for i in p3]\np4 = [round(i,3) for i in p4]\nprint(p3)\nprint(p4)\n\n",
"import numpy as np\ncount3 = np.array([0, 38368, 124960])\ntotal3 = count3.sum()\ncount4 = np.array([1737970, 2485090, 3213028])\ntotal4 = count4.sum()\np3 = [(i / total3) for i in count3]\np4 = [(i / total4) for i in count4]\nP = np.array([(p3[i] * p4[i]) for i in range(3)]).sum()\nprint(\n 'When training net N on 3pc dataset, and using it to estimate a 4pc dataset.Then the estimated probability of guessing right, given that the net guesses randomly for an outcome with probabilities p3 and p4, is P = '\n , round(P, 3))\np3 = [round(i, 3) for i in p3]\np4 = [round(i, 3) for i in p4]\nprint(p3)\nprint(p4)\n",
"<import token>\ncount3 = np.array([0, 38368, 124960])\ntotal3 = count3.sum()\ncount4 = np.array([1737970, 2485090, 3213028])\ntotal4 = count4.sum()\np3 = [(i / total3) for i in count3]\np4 = [(i / total4) for i in count4]\nP = np.array([(p3[i] * p4[i]) for i in range(3)]).sum()\nprint(\n 'When training net N on 3pc dataset, and using it to estimate a 4pc dataset.Then the estimated probability of guessing right, given that the net guesses randomly for an outcome with probabilities p3 and p4, is P = '\n , round(P, 3))\np3 = [round(i, 3) for i in p3]\np4 = [round(i, 3) for i in p4]\nprint(p3)\nprint(p4)\n",
"<import token>\n<assignment token>\nprint(\n 'When training net N on 3pc dataset, and using it to estimate a 4pc dataset.Then the estimated probability of guessing right, given that the net guesses randomly for an outcome with probabilities p3 and p4, is P = '\n , round(P, 3))\n<assignment token>\nprint(p3)\nprint(p4)\n",
"<import token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,767 |
47f5baa9863622211eb6a812a79ade40939d2717
|
from .shader import Shader
from .shader_program import ShaderProgram
from .shader_types import ShaderTypes
|
[
"from .shader import Shader\r\nfrom .shader_program import ShaderProgram\r\nfrom .shader_types import ShaderTypes",
"from .shader import Shader\nfrom .shader_program import ShaderProgram\nfrom .shader_types import ShaderTypes\n",
"<import token>\n"
] | false |
98,768 |
0643bd67b08313243acd70b331235138462e8537
|
# Import necessary libraries
import os, sys, shutil, glob, argparse
import numpy as np
from PIL import Image
# Import datasets dependent files
from datasets import kitti
from datasets import lisa
from datasets import voc
from datasets import yolo
def parse_args():
"""
Definition: Parse command line arguments.
Parameters: None
Returns: args - list of arguments
"""
parser = argparse.ArgumentParser(description=
'Convert object detection datasets.')
parser._action_groups.pop()
required = parser.add_argument_group('required arguments')
optional = parser.add_argument_group('optional arguments')
required.add_argument('--from',
dest='from_key',
required=True,
help='Format to convert dataset from.',
choices=['kitti','lisa','voc','yolo'],
type=str, nargs=1)
required.add_argument('--from-path',
dest='from_path',
required=True,
help='Path to dataset you wish to convert.',
type=str, nargs=1)
required.add_argument('--to',
dest='to_key',
required=True,
help='Format to convert dataset to',
choices=['kitti','lisa','voc','yolo'],
type=str, nargs=1)
required.add_argument('--to-path',
dest='to_path',
required=True,
help='Path to output dataset to convert to.',
type=str, nargs=1)
optional.add_argument('-l', '--label',
dest='label',
required=False,
help='Label file necessary for yolo conversion.',
type=str, nargs=1)
optional.add_argument('-v','--verbose',
dest='verbose',
required=False,
help='Print out during execution of the script.')
args = parser.parse_args()
return args
if __name__ == '__main__':
# Parse command line arguments
args = parse_args()
# If conversion types are same, no conversion necessary (ex. both 'kitti')
if args.from_key == args.to_key:
print ("No conversion necessary.")
exit(0)
# If yolo is part of the conversion (either 'to' or 'from' type)
if 'yolo' in args.to_key or 'yolo' in args.from_key:
# Must contain a label file
if not args.label:
print ("Error: A label file is necessary for yolo conversion.")
exit(0)
# Parameters including the label file
params = ("'" + args.from_path[0] + "', '" + args.to_path[0] + "', '" +
args.label[0] + "'")
# Otherwise set up parameters without a label file
else:
# Parameters without the label file
params = ("'" + args.from_path[0] + "', '" + args.to_path[0] + "'")
# Evaluate the conversion based on command line parameters
eval (args.from_key[0] + '.' + args.to_key[0] + '(' + params + ')')
print ("Conversion complete!!")
|
[
"# Import necessary libraries\nimport os, sys, shutil, glob, argparse\nimport numpy as np\nfrom PIL import Image\n\n# Import datasets dependent files\nfrom datasets import kitti\nfrom datasets import lisa\nfrom datasets import voc\nfrom datasets import yolo\n\ndef parse_args():\n\t\"\"\"\n\tDefinition: Parse command line arguments.\n\n\tParameters: None\n\tReturns: args - list of arguments\n\t\"\"\"\n\tparser = argparse.ArgumentParser(description=\n\t\t'Convert object detection datasets.')\n\tparser._action_groups.pop()\n\trequired = parser.add_argument_group('required arguments')\n\toptional = parser.add_argument_group('optional arguments')\n\trequired.add_argument('--from',\n\t\t\t\t\t\t dest='from_key',\n\t\t\t\t\t\t required=True,\n\t\t\t\t\t\t help='Format to convert dataset from.',\n\t\t\t\t\t\t choices=['kitti','lisa','voc','yolo'],\n\t\t\t\t\t\t type=str, nargs=1)\n\trequired.add_argument('--from-path',\n\t\t\t\t\t\t dest='from_path',\n\t\t\t\t\t\t required=True,\n\t\t\t\t\t\t help='Path to dataset you wish to convert.',\n\t\t\t\t\t\t type=str, nargs=1)\n\trequired.add_argument('--to',\n dest='to_key',\n required=True,\n help='Format to convert dataset to',\n choices=['kitti','lisa','voc','yolo'],\n type=str, nargs=1)\n\trequired.add_argument('--to-path',\n\t\t\t\t\t\t dest='to_path',\n\t\t\t\t\t\t required=True,\n\t\t\t\t\t\t help='Path to output dataset to convert to.',\n\t\t\t\t\t\t type=str, nargs=1)\n\toptional.add_argument('-l', '--label',\n \t\t\t\t\t dest='label',\n \t\t\t\t\t required=False,\n \t\t\t\t\t help='Label file necessary for yolo conversion.',\n \t\t\t\t\t type=str, nargs=1)\n\toptional.add_argument('-v','--verbose',\n dest='verbose',\n required=False,\n help='Print out during execution of the script.')\n\n\targs = parser.parse_args()\n\treturn args\n\nif __name__ == '__main__':\n\t# Parse command line arguments\n\targs = parse_args()\n\n\t# If conversion types are same, no conversion necessary (ex. both 'kitti')\n\tif args.from_key == args.to_key:\n\t\tprint (\"No conversion necessary.\")\n\t\texit(0)\n\n\t# If yolo is part of the conversion (either 'to' or 'from' type)\n\tif 'yolo' in args.to_key or 'yolo' in args.from_key:\n\t\t# Must contain a label file\n\t\tif not args.label:\n\t\t\tprint (\"Error: A label file is necessary for yolo conversion.\")\n\t\t\texit(0)\n\n\t\t# Parameters including the label file\n\t\tparams = (\"'\" + args.from_path[0] + \"', '\" + args.to_path[0] + \"', '\" +\n\t\t\targs.label[0] + \"'\")\n\n\t# Otherwise set up parameters without a label file\n\telse:\n\t\t# Parameters without the label file\n\t\tparams = (\"'\" + args.from_path[0] + \"', '\" + args.to_path[0] + \"'\")\n\n\t# Evaluate the conversion based on command line parameters\n\teval (args.from_key[0] + '.' + args.to_key[0] + '(' + params + ')')\n\n\tprint (\"Conversion complete!!\")\n",
"import os, sys, shutil, glob, argparse\nimport numpy as np\nfrom PIL import Image\nfrom datasets import kitti\nfrom datasets import lisa\nfrom datasets import voc\nfrom datasets import yolo\n\n\ndef parse_args():\n \"\"\"\n\tDefinition: Parse command line arguments.\n\n\tParameters: None\n\tReturns: args - list of arguments\n\t\"\"\"\n parser = argparse.ArgumentParser(description=\n 'Convert object detection datasets.')\n parser._action_groups.pop()\n required = parser.add_argument_group('required arguments')\n optional = parser.add_argument_group('optional arguments')\n required.add_argument('--from', dest='from_key', required=True, help=\n 'Format to convert dataset from.', choices=['kitti', 'lisa', 'voc',\n 'yolo'], type=str, nargs=1)\n required.add_argument('--from-path', dest='from_path', required=True,\n help='Path to dataset you wish to convert.', type=str, nargs=1)\n required.add_argument('--to', dest='to_key', required=True, help=\n 'Format to convert dataset to', choices=['kitti', 'lisa', 'voc',\n 'yolo'], type=str, nargs=1)\n required.add_argument('--to-path', dest='to_path', required=True, help=\n 'Path to output dataset to convert to.', type=str, nargs=1)\n optional.add_argument('-l', '--label', dest='label', required=False,\n help='Label file necessary for yolo conversion.', type=str, nargs=1)\n optional.add_argument('-v', '--verbose', dest='verbose', required=False,\n help='Print out during execution of the script.')\n args = parser.parse_args()\n return args\n\n\nif __name__ == '__main__':\n args = parse_args()\n if args.from_key == args.to_key:\n print('No conversion necessary.')\n exit(0)\n if 'yolo' in args.to_key or 'yolo' in args.from_key:\n if not args.label:\n print('Error: A label file is necessary for yolo conversion.')\n exit(0)\n params = \"'\" + args.from_path[0] + \"', '\" + args.to_path[0\n ] + \"', '\" + args.label[0] + \"'\"\n else:\n params = \"'\" + args.from_path[0] + \"', '\" + args.to_path[0] + \"'\"\n eval(args.from_key[0] + '.' + args.to_key[0] + '(' + params + ')')\n print('Conversion complete!!')\n",
"<import token>\n\n\ndef parse_args():\n \"\"\"\n\tDefinition: Parse command line arguments.\n\n\tParameters: None\n\tReturns: args - list of arguments\n\t\"\"\"\n parser = argparse.ArgumentParser(description=\n 'Convert object detection datasets.')\n parser._action_groups.pop()\n required = parser.add_argument_group('required arguments')\n optional = parser.add_argument_group('optional arguments')\n required.add_argument('--from', dest='from_key', required=True, help=\n 'Format to convert dataset from.', choices=['kitti', 'lisa', 'voc',\n 'yolo'], type=str, nargs=1)\n required.add_argument('--from-path', dest='from_path', required=True,\n help='Path to dataset you wish to convert.', type=str, nargs=1)\n required.add_argument('--to', dest='to_key', required=True, help=\n 'Format to convert dataset to', choices=['kitti', 'lisa', 'voc',\n 'yolo'], type=str, nargs=1)\n required.add_argument('--to-path', dest='to_path', required=True, help=\n 'Path to output dataset to convert to.', type=str, nargs=1)\n optional.add_argument('-l', '--label', dest='label', required=False,\n help='Label file necessary for yolo conversion.', type=str, nargs=1)\n optional.add_argument('-v', '--verbose', dest='verbose', required=False,\n help='Print out during execution of the script.')\n args = parser.parse_args()\n return args\n\n\nif __name__ == '__main__':\n args = parse_args()\n if args.from_key == args.to_key:\n print('No conversion necessary.')\n exit(0)\n if 'yolo' in args.to_key or 'yolo' in args.from_key:\n if not args.label:\n print('Error: A label file is necessary for yolo conversion.')\n exit(0)\n params = \"'\" + args.from_path[0] + \"', '\" + args.to_path[0\n ] + \"', '\" + args.label[0] + \"'\"\n else:\n params = \"'\" + args.from_path[0] + \"', '\" + args.to_path[0] + \"'\"\n eval(args.from_key[0] + '.' + args.to_key[0] + '(' + params + ')')\n print('Conversion complete!!')\n",
"<import token>\n\n\ndef parse_args():\n \"\"\"\n\tDefinition: Parse command line arguments.\n\n\tParameters: None\n\tReturns: args - list of arguments\n\t\"\"\"\n parser = argparse.ArgumentParser(description=\n 'Convert object detection datasets.')\n parser._action_groups.pop()\n required = parser.add_argument_group('required arguments')\n optional = parser.add_argument_group('optional arguments')\n required.add_argument('--from', dest='from_key', required=True, help=\n 'Format to convert dataset from.', choices=['kitti', 'lisa', 'voc',\n 'yolo'], type=str, nargs=1)\n required.add_argument('--from-path', dest='from_path', required=True,\n help='Path to dataset you wish to convert.', type=str, nargs=1)\n required.add_argument('--to', dest='to_key', required=True, help=\n 'Format to convert dataset to', choices=['kitti', 'lisa', 'voc',\n 'yolo'], type=str, nargs=1)\n required.add_argument('--to-path', dest='to_path', required=True, help=\n 'Path to output dataset to convert to.', type=str, nargs=1)\n optional.add_argument('-l', '--label', dest='label', required=False,\n help='Label file necessary for yolo conversion.', type=str, nargs=1)\n optional.add_argument('-v', '--verbose', dest='verbose', required=False,\n help='Print out during execution of the script.')\n args = parser.parse_args()\n return args\n\n\n<code token>\n",
"<import token>\n<function token>\n<code token>\n"
] | false |
98,769 |
290cd557e266d96fe17376644e29e919049dccfc
|
import zlib
import sys
def blf_unzlib(inputBLF, outputBIN):
# BLFの全データ取得
f = open(inputBLF, 'rb')
blf_data = f.read()
f.close()
# 解凍済みデータ保存先ファイル
f2 = open(outputBIN, 'wb')
filesize = len(blf_data)
decompress_data = b''
compress_data = b''
# 先頭ヘッダからサイズ抽出
offset = blf_data[4] + blf_data[5]*0x100
cnt = 0 # 経過表示用カウンタ
while True:
if offset >= filesize:
# offsetがデータ終端に到達
break
# zlibパッケージヘッダ抽出
obj_size = blf_data[offset+8] + blf_data[offset+9]*0x100 + blf_data[offset+10]*0x10000 + blf_data[offset+11]*0x1000000
compress_data = blf_data[offset+0x20:offset+obj_size]
decompress_data = zlib.decompress(compress_data)
f2.write(decompress_data)
offset += obj_size
if offset+4 >= filesize:
break;
i = 0
while True:
tmp = str.format( "%c%c%c%c" % (blf_data[offset + i + 0], blf_data[offset + i + 1], blf_data[offset + i + 2], blf_data[offset + i + 3]) )
if tmp == 'LOBJ':
break
elif i >= 4:
print('LOBJ not found!')
exit()
break
else:
i += 1
offset += i
# 経過表示用
if cnt % 100 == 0:
print(offset)
cnt += 1
f2.close()
if __name__=='__main__':
inputBLF = 'test.blf'
outputBIN = 'test.bin'
args = sys.argv
# コマンドライン引数がある場合は、引数優先
if len(args) >= 3:
inputBLF = args[1]
outputBIN = args[2]
print("BLF=%s,output=%s" % (inputBLF,outputBIN))
blf_unzlib(inputBLF,outputBIN)
|
[
"import zlib\nimport sys\n\n\ndef blf_unzlib(inputBLF, outputBIN):\n # BLFの全データ取得\n f = open(inputBLF, 'rb')\n blf_data = f.read()\n f.close()\n \n # 解凍済みデータ保存先ファイル\n f2 = open(outputBIN, 'wb')\n \n filesize = len(blf_data)\n decompress_data = b''\n compress_data = b''\n \n # 先頭ヘッダからサイズ抽出\n offset = blf_data[4] + blf_data[5]*0x100\n \n cnt = 0 # 経過表示用カウンタ\n \n while True:\n if offset >= filesize:\n # offsetがデータ終端に到達\n break\n \n # zlibパッケージヘッダ抽出 \n obj_size = blf_data[offset+8] + blf_data[offset+9]*0x100 + blf_data[offset+10]*0x10000 + blf_data[offset+11]*0x1000000\n \n compress_data = blf_data[offset+0x20:offset+obj_size]\n decompress_data = zlib.decompress(compress_data)\n f2.write(decompress_data)\n \n offset += obj_size\n \n if offset+4 >= filesize:\n break;\n\n i = 0\n while True:\n tmp = str.format( \"%c%c%c%c\" % (blf_data[offset + i + 0], blf_data[offset + i + 1], blf_data[offset + i + 2], blf_data[offset + i + 3]) )\n if tmp == 'LOBJ':\n break\n elif i >= 4:\n print('LOBJ not found!')\n exit()\n break\n else:\n i += 1\n \n offset += i\n \n # 経過表示用\n if cnt % 100 == 0:\n print(offset)\n cnt += 1\n \n f2.close()\n\nif __name__=='__main__':\n inputBLF = 'test.blf'\n outputBIN = 'test.bin'\n\n args = sys.argv\n \n # コマンドライン引数がある場合は、引数優先\n if len(args) >= 3:\n inputBLF = args[1]\n outputBIN = args[2]\n \n print(\"BLF=%s,output=%s\" % (inputBLF,outputBIN))\n \n blf_unzlib(inputBLF,outputBIN)",
"import zlib\nimport sys\n\n\ndef blf_unzlib(inputBLF, outputBIN):\n f = open(inputBLF, 'rb')\n blf_data = f.read()\n f.close()\n f2 = open(outputBIN, 'wb')\n filesize = len(blf_data)\n decompress_data = b''\n compress_data = b''\n offset = blf_data[4] + blf_data[5] * 256\n cnt = 0\n while True:\n if offset >= filesize:\n break\n obj_size = blf_data[offset + 8] + blf_data[offset + 9\n ] * 256 + blf_data[offset + 10] * 65536 + blf_data[offset + 11\n ] * 16777216\n compress_data = blf_data[offset + 32:offset + obj_size]\n decompress_data = zlib.decompress(compress_data)\n f2.write(decompress_data)\n offset += obj_size\n if offset + 4 >= filesize:\n break\n i = 0\n while True:\n tmp = str.format('%c%c%c%c' % (blf_data[offset + i + 0],\n blf_data[offset + i + 1], blf_data[offset + i + 2],\n blf_data[offset + i + 3]))\n if tmp == 'LOBJ':\n break\n elif i >= 4:\n print('LOBJ not found!')\n exit()\n break\n else:\n i += 1\n offset += i\n if cnt % 100 == 0:\n print(offset)\n cnt += 1\n f2.close()\n\n\nif __name__ == '__main__':\n inputBLF = 'test.blf'\n outputBIN = 'test.bin'\n args = sys.argv\n if len(args) >= 3:\n inputBLF = args[1]\n outputBIN = args[2]\n print('BLF=%s,output=%s' % (inputBLF, outputBIN))\n blf_unzlib(inputBLF, outputBIN)\n",
"<import token>\n\n\ndef blf_unzlib(inputBLF, outputBIN):\n f = open(inputBLF, 'rb')\n blf_data = f.read()\n f.close()\n f2 = open(outputBIN, 'wb')\n filesize = len(blf_data)\n decompress_data = b''\n compress_data = b''\n offset = blf_data[4] + blf_data[5] * 256\n cnt = 0\n while True:\n if offset >= filesize:\n break\n obj_size = blf_data[offset + 8] + blf_data[offset + 9\n ] * 256 + blf_data[offset + 10] * 65536 + blf_data[offset + 11\n ] * 16777216\n compress_data = blf_data[offset + 32:offset + obj_size]\n decompress_data = zlib.decompress(compress_data)\n f2.write(decompress_data)\n offset += obj_size\n if offset + 4 >= filesize:\n break\n i = 0\n while True:\n tmp = str.format('%c%c%c%c' % (blf_data[offset + i + 0],\n blf_data[offset + i + 1], blf_data[offset + i + 2],\n blf_data[offset + i + 3]))\n if tmp == 'LOBJ':\n break\n elif i >= 4:\n print('LOBJ not found!')\n exit()\n break\n else:\n i += 1\n offset += i\n if cnt % 100 == 0:\n print(offset)\n cnt += 1\n f2.close()\n\n\nif __name__ == '__main__':\n inputBLF = 'test.blf'\n outputBIN = 'test.bin'\n args = sys.argv\n if len(args) >= 3:\n inputBLF = args[1]\n outputBIN = args[2]\n print('BLF=%s,output=%s' % (inputBLF, outputBIN))\n blf_unzlib(inputBLF, outputBIN)\n",
"<import token>\n\n\ndef blf_unzlib(inputBLF, outputBIN):\n f = open(inputBLF, 'rb')\n blf_data = f.read()\n f.close()\n f2 = open(outputBIN, 'wb')\n filesize = len(blf_data)\n decompress_data = b''\n compress_data = b''\n offset = blf_data[4] + blf_data[5] * 256\n cnt = 0\n while True:\n if offset >= filesize:\n break\n obj_size = blf_data[offset + 8] + blf_data[offset + 9\n ] * 256 + blf_data[offset + 10] * 65536 + blf_data[offset + 11\n ] * 16777216\n compress_data = blf_data[offset + 32:offset + obj_size]\n decompress_data = zlib.decompress(compress_data)\n f2.write(decompress_data)\n offset += obj_size\n if offset + 4 >= filesize:\n break\n i = 0\n while True:\n tmp = str.format('%c%c%c%c' % (blf_data[offset + i + 0],\n blf_data[offset + i + 1], blf_data[offset + i + 2],\n blf_data[offset + i + 3]))\n if tmp == 'LOBJ':\n break\n elif i >= 4:\n print('LOBJ not found!')\n exit()\n break\n else:\n i += 1\n offset += i\n if cnt % 100 == 0:\n print(offset)\n cnt += 1\n f2.close()\n\n\n<code token>\n",
"<import token>\n<function token>\n<code token>\n"
] | false |
98,770 |
1cbae3e7cc10420ee3ed33af5773eb09a64a15ae
|
from django.apps import AppConfig
class CoreConfig(AppConfig):
name = 'core'
verbose_name = "Mis Perris" #Aqui le estamos agregando un nombre para un titulo de Django
#solo para que se entienda mejor, luego esto hay que "activarlo" en settings.py
|
[
"from django.apps import AppConfig\n\n\nclass CoreConfig(AppConfig):\n name = 'core'\n verbose_name = \"Mis Perris\" #Aqui le estamos agregando un nombre para un titulo de Django\n #solo para que se entienda mejor, luego esto hay que \"activarlo\" en settings.py\n",
"from django.apps import AppConfig\n\n\nclass CoreConfig(AppConfig):\n name = 'core'\n verbose_name = 'Mis Perris'\n",
"<import token>\n\n\nclass CoreConfig(AppConfig):\n name = 'core'\n verbose_name = 'Mis Perris'\n",
"<import token>\n\n\nclass CoreConfig(AppConfig):\n <assignment token>\n <assignment token>\n",
"<import token>\n<class token>\n"
] | false |
98,771 |
6506b75270a30eddf1a2c2d6181a21c1497bb3ff
|
import logging
from tvsort_sl.app import TvSort
tv_sort = TvSort(is_test=True, log_level=logging.INFO)
|
[
"import logging\n\nfrom tvsort_sl.app import TvSort\n\ntv_sort = TvSort(is_test=True, log_level=logging.INFO)\n",
"import logging\nfrom tvsort_sl.app import TvSort\ntv_sort = TvSort(is_test=True, log_level=logging.INFO)\n",
"<import token>\ntv_sort = TvSort(is_test=True, log_level=logging.INFO)\n",
"<import token>\n<assignment token>\n"
] | false |
98,772 |
8837ba19db69af05f3c763ae3fd7b43bd87c700b
|
#!/usr/bin/env python3
import argparse
import glob
import os
import sys
cmd_home = os.path.dirname(os.path.realpath(__file__))
pipe_home = os.path.normpath(cmd_home + "/..")
job_home = cmd_home + "/job_scripts"
sys.path.append(pipe_home)
from library.config import log_dir
from library.job_queue import GridEngineQueue
def main():
args = parse_args()
q = GridEngineQueue()
jid_list = []
for pu in [fastq.split(".")[1] for fastq in glob.glob("{sample}/fastq/{sample}.*.R1.fastq.gz".format(sample=args.sample))]:
jid_list.append(q.submit(opt(args.sample),
"{job_home}/aln_1.align_sort.sh {sample} {pu}".format(job_home=job_home, sample=args.sample, pu=pu)))
jid = ",".join(jid_list)
jid = q.submit(opt(args.sample, jid),
"{job_home}/aln_2.merge_bam.sh {sample}".format(job_home=job_home, sample=args.sample))
jid = q.submit(opt(args.sample, jid),
"{job_home}/aln_3.markdup.sh {sample}".format(job_home=job_home, sample=args.sample))
jid = q.submit(opt(args.sample, jid),
"{job_home}/aln_4.indel_realign.sh {sample}".format(job_home=job_home, sample=args.sample))
jid = q.submit(opt(args.sample, jid),
"{job_home}/aln_5.bqsr.sh {sample}".format(job_home=job_home, sample=args.sample))
if parentid(args.sample) != "None":
q.submit(opt(args.sample, jid),
"{job_home}/aln_6.upload_bam.sh {sample}".format(job_home=job_home, sample=args.sample))
def parse_args():
parser = argparse.ArgumentParser(description='Alignment job submitter')
parser.add_argument('sample', metavar='sample name')
return parser.parse_args()
def parentid(sample):
with open(sample + "/run_info") as run_info:
for line in run_info:
if line[:8] == "PARENTID":
return line.strip().split("=")[1]
def opt(sample, jid=None):
opt = "-j y -o {log_dir} -l h_vmem=4G".format(log_dir=log_dir(sample))
if jid is not None:
opt = "-hold_jid {jid} {opt}".format(jid=jid, opt=opt)
return opt
if __name__ == "__main__":
main()
|
[
"#!/usr/bin/env python3\n\nimport argparse\nimport glob\nimport os\nimport sys\n\ncmd_home = os.path.dirname(os.path.realpath(__file__))\npipe_home = os.path.normpath(cmd_home + \"/..\")\njob_home = cmd_home + \"/job_scripts\"\nsys.path.append(pipe_home)\n\nfrom library.config import log_dir\nfrom library.job_queue import GridEngineQueue\n\ndef main():\n args = parse_args()\n q = GridEngineQueue()\n \n jid_list = []\n for pu in [fastq.split(\".\")[1] for fastq in glob.glob(\"{sample}/fastq/{sample}.*.R1.fastq.gz\".format(sample=args.sample))]:\n jid_list.append(q.submit(opt(args.sample), \n \"{job_home}/aln_1.align_sort.sh {sample} {pu}\".format(job_home=job_home, sample=args.sample, pu=pu)))\n jid = \",\".join(jid_list)\n \n jid = q.submit(opt(args.sample, jid), \n \"{job_home}/aln_2.merge_bam.sh {sample}\".format(job_home=job_home, sample=args.sample))\n\n jid = q.submit(opt(args.sample, jid),\n \"{job_home}/aln_3.markdup.sh {sample}\".format(job_home=job_home, sample=args.sample))\n\n jid = q.submit(opt(args.sample, jid),\n \"{job_home}/aln_4.indel_realign.sh {sample}\".format(job_home=job_home, sample=args.sample))\n\n jid = q.submit(opt(args.sample, jid), \n \"{job_home}/aln_5.bqsr.sh {sample}\".format(job_home=job_home, sample=args.sample))\n\n if parentid(args.sample) != \"None\":\n q.submit(opt(args.sample, jid), \n \"{job_home}/aln_6.upload_bam.sh {sample}\".format(job_home=job_home, sample=args.sample))\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\ndef parentid(sample):\n with open(sample + \"/run_info\") as run_info:\n for line in run_info:\n if line[:8] == \"PARENTID\":\n return line.strip().split(\"=\")[1]\n\ndef opt(sample, jid=None):\n opt = \"-j y -o {log_dir} -l h_vmem=4G\".format(log_dir=log_dir(sample))\n if jid is not None:\n opt = \"-hold_jid {jid} {opt}\".format(jid=jid, opt=opt)\n return opt\n \nif __name__ == \"__main__\":\n main()\n",
"import argparse\nimport glob\nimport os\nimport sys\ncmd_home = os.path.dirname(os.path.realpath(__file__))\npipe_home = os.path.normpath(cmd_home + '/..')\njob_home = cmd_home + '/job_scripts'\nsys.path.append(pipe_home)\nfrom library.config import log_dir\nfrom library.job_queue import GridEngineQueue\n\n\ndef main():\n args = parse_args()\n q = GridEngineQueue()\n jid_list = []\n for pu in [fastq.split('.')[1] for fastq in glob.glob(\n '{sample}/fastq/{sample}.*.R1.fastq.gz'.format(sample=args.sample))]:\n jid_list.append(q.submit(opt(args.sample),\n '{job_home}/aln_1.align_sort.sh {sample} {pu}'.format(job_home=\n job_home, sample=args.sample, pu=pu)))\n jid = ','.join(jid_list)\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_2.merge_bam.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_3.markdup.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_4.indel_realign.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_5.bqsr.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n if parentid(args.sample) != 'None':\n q.submit(opt(args.sample, jid),\n '{job_home}/aln_6.upload_bam.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\n\ndef parentid(sample):\n with open(sample + '/run_info') as run_info:\n for line in run_info:\n if line[:8] == 'PARENTID':\n return line.strip().split('=')[1]\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\nif __name__ == '__main__':\n main()\n",
"<import token>\ncmd_home = os.path.dirname(os.path.realpath(__file__))\npipe_home = os.path.normpath(cmd_home + '/..')\njob_home = cmd_home + '/job_scripts'\nsys.path.append(pipe_home)\n<import token>\n\n\ndef main():\n args = parse_args()\n q = GridEngineQueue()\n jid_list = []\n for pu in [fastq.split('.')[1] for fastq in glob.glob(\n '{sample}/fastq/{sample}.*.R1.fastq.gz'.format(sample=args.sample))]:\n jid_list.append(q.submit(opt(args.sample),\n '{job_home}/aln_1.align_sort.sh {sample} {pu}'.format(job_home=\n job_home, sample=args.sample, pu=pu)))\n jid = ','.join(jid_list)\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_2.merge_bam.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_3.markdup.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_4.indel_realign.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_5.bqsr.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n if parentid(args.sample) != 'None':\n q.submit(opt(args.sample, jid),\n '{job_home}/aln_6.upload_bam.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\n\ndef parentid(sample):\n with open(sample + '/run_info') as run_info:\n for line in run_info:\n if line[:8] == 'PARENTID':\n return line.strip().split('=')[1]\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\nif __name__ == '__main__':\n main()\n",
"<import token>\n<assignment token>\nsys.path.append(pipe_home)\n<import token>\n\n\ndef main():\n args = parse_args()\n q = GridEngineQueue()\n jid_list = []\n for pu in [fastq.split('.')[1] for fastq in glob.glob(\n '{sample}/fastq/{sample}.*.R1.fastq.gz'.format(sample=args.sample))]:\n jid_list.append(q.submit(opt(args.sample),\n '{job_home}/aln_1.align_sort.sh {sample} {pu}'.format(job_home=\n job_home, sample=args.sample, pu=pu)))\n jid = ','.join(jid_list)\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_2.merge_bam.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_3.markdup.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_4.indel_realign.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_5.bqsr.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n if parentid(args.sample) != 'None':\n q.submit(opt(args.sample, jid),\n '{job_home}/aln_6.upload_bam.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\n\ndef parentid(sample):\n with open(sample + '/run_info') as run_info:\n for line in run_info:\n if line[:8] == 'PARENTID':\n return line.strip().split('=')[1]\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\nif __name__ == '__main__':\n main()\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n\n\ndef main():\n args = parse_args()\n q = GridEngineQueue()\n jid_list = []\n for pu in [fastq.split('.')[1] for fastq in glob.glob(\n '{sample}/fastq/{sample}.*.R1.fastq.gz'.format(sample=args.sample))]:\n jid_list.append(q.submit(opt(args.sample),\n '{job_home}/aln_1.align_sort.sh {sample} {pu}'.format(job_home=\n job_home, sample=args.sample, pu=pu)))\n jid = ','.join(jid_list)\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_2.merge_bam.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_3.markdup.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_4.indel_realign.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_5.bqsr.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n if parentid(args.sample) != 'None':\n q.submit(opt(args.sample, jid),\n '{job_home}/aln_6.upload_bam.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\n\ndef parentid(sample):\n with open(sample + '/run_info') as run_info:\n for line in run_info:\n if line[:8] == 'PARENTID':\n return line.strip().split('=')[1]\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\n<code token>\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n\n\ndef main():\n args = parse_args()\n q = GridEngineQueue()\n jid_list = []\n for pu in [fastq.split('.')[1] for fastq in glob.glob(\n '{sample}/fastq/{sample}.*.R1.fastq.gz'.format(sample=args.sample))]:\n jid_list.append(q.submit(opt(args.sample),\n '{job_home}/aln_1.align_sort.sh {sample} {pu}'.format(job_home=\n job_home, sample=args.sample, pu=pu)))\n jid = ','.join(jid_list)\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_2.merge_bam.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_3.markdup.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_4.indel_realign.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n jid = q.submit(opt(args.sample, jid),\n '{job_home}/aln_5.bqsr.sh {sample}'.format(job_home=job_home,\n sample=args.sample))\n if parentid(args.sample) != 'None':\n q.submit(opt(args.sample, jid),\n '{job_home}/aln_6.upload_bam.sh {sample}'.format(job_home=\n job_home, sample=args.sample))\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\n\n<function token>\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\n<code token>\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n<function token>\n\n\ndef parse_args():\n parser = argparse.ArgumentParser(description='Alignment job submitter')\n parser.add_argument('sample', metavar='sample name')\n return parser.parse_args()\n\n\n<function token>\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\n<code token>\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n\n\ndef opt(sample, jid=None):\n opt = '-j y -o {log_dir} -l h_vmem=4G'.format(log_dir=log_dir(sample))\n if jid is not None:\n opt = '-hold_jid {jid} {opt}'.format(jid=jid, opt=opt)\n return opt\n\n\n<code token>\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,773 |
8571796aba34ba081db99a7128e7fb261326051a
|
# Copyright (C) 2013-2015 A. Eijkhoudt and others
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#!/usr/bin/env python
# coding: utf-8
# Base Python modules
import os
import sys
import hashlib
import traceback
import datetime
class File(object):
def __init__(self, fullpath, config, magic):
"""
Attempt to parse the file passed via the fullpath variable
and store its name, size, owner, group, MACtimes,
MD5/SHA1/SHA256 hashes and file magic properties in the
object's properties.
"""
if not fullpath:
pass
else:
try:
self.fullpath = str(fullpath)
self.name = str(os.path.basename(fullpath))
self.size = str(os.path.getsize(fullpath))
except:
raise IOError("""Cannot read basic file information.
Permissions problem?""")
try:
self.owner = str(os.stat(fullpath).st_uid)
self.group = str(os.stat(fullpath).st_gid)
except:
self.owner = -1
self.group = -1
if config.DEBUG:
print("""Cannot read owner/group id.
File system might not support ownerships.""")
try:
self.perm = oct(os.stat(fullpath).st_mode)
except:
self.perm = 'UFORIA_NO_PERM'
if config.DEBUG:
print("""Cannot read permissions.
File system might not support permissions.""")
try:
timestamp = os.path.getmtime(fullpath)
self.mtime = datetime.datetime.fromtimestamp(timestamp).isoformat()
except:
self.mtime = Null
if config.DEBUG:
print('File system might not support MACtimes.')
try:
timestamp = os.path.getatime(fullpath)
self.atime = datetime.datetime.fromtimestamp(timestamp).isoformat()
except:
self.atime = Null
if config.DEBUG:
print('File system might not support MACtimes.')
try:
timestamp = os.path.getctime(fullpath)
self.ctime = datetime.datetime.fromtimestamp(timestamp).isoformat()
except:
self.ctime = Null
if config.DEBUG:
print('File system might not support MACtimes.')
try:
self.md5 = hashlib.md5()
self.sha1 = hashlib.sha1()
self.sha256 = hashlib.sha256()
with open(fullpath, 'rb') as f:
for chunk in iter(lambda: f.read(config.CHUNKSIZE), b''):
self.md5.update(chunk)
self.sha1.update(chunk)
self.sha256.update(chunk)
self.md5 = str(self.md5.hexdigest())
self.sha1 = str(self.sha1.hexdigest())
self.sha256 = str(self.sha256.hexdigest())
except:
traceback.print_exc(file=sys.stderr)
try:
magic_default = magic.Magic(magic_file=config.MAGICFILE)
magic_mime = magic.Magic(mime=True,
magic_file=config.MAGICFILE)
except:
traceback.print_exc(file=sys.stderr)
try:
self.ftype = str(magic_default.from_file(fullpath))
self.mtype = str(magic_mime.from_file(fullpath))
self.btype = str(magic_default.from_buffer(open(fullpath).read(65536)))
except:
traceback.print_exc(file=sys.stderr)
if config.DEBUG:
print "Filename:\t", self.name
print "UID/GID:\t", self.owner + ":" + self.group
print "Permissions:\t", self.perm
print ("Magic:\t\tF:", self.ftype, "\n\t\tM:",
self.mtype, "\n\t\tB:", self.btype)
print ("Modified:\t", self.mtime, "\nAccessed:\t",
self.atime, "\nChanged:\t", self.ctime)
print ("MD5:\t\t", self.md5, "\nSHA1:\t\t",
self.sha1, "\nSHA256:\t\t", self.sha256)
|
[
"# Copyright (C) 2013-2015 A. Eijkhoudt and others\n\n# This program is free software; you can redistribute it and/or\n# modify it under the terms of the GNU General Public License\n# as published by the Free Software Foundation; either version 2\n# of the License, or (at your option) any later version.\n\n# This program is distributed in the hope that it will be useful,\n# but WITHOUT ANY WARRANTY; without even the implied warranty of\n# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n# GNU General Public License for more details.\n\n#!/usr/bin/env python\n# coding: utf-8\n\n# Base Python modules\nimport os\nimport sys\nimport hashlib\nimport traceback\nimport datetime\n\n\nclass File(object):\n\n def __init__(self, fullpath, config, magic):\n \"\"\"\n Attempt to parse the file passed via the fullpath variable\n and store its name, size, owner, group, MACtimes,\n MD5/SHA1/SHA256 hashes and file magic properties in the\n object's properties.\n \"\"\"\n if not fullpath:\n pass\n else:\n try:\n self.fullpath = str(fullpath)\n self.name = str(os.path.basename(fullpath))\n self.size = str(os.path.getsize(fullpath))\n except:\n raise IOError(\"\"\"Cannot read basic file information.\n Permissions problem?\"\"\")\n try:\n self.owner = str(os.stat(fullpath).st_uid)\n self.group = str(os.stat(fullpath).st_gid)\n except:\n self.owner = -1\n self.group = -1\n if config.DEBUG:\n print(\"\"\"Cannot read owner/group id.\n File system might not support ownerships.\"\"\")\n try:\n self.perm = oct(os.stat(fullpath).st_mode)\n except:\n self.perm = 'UFORIA_NO_PERM'\n if config.DEBUG:\n print(\"\"\"Cannot read permissions.\n File system might not support permissions.\"\"\")\n try:\n timestamp = os.path.getmtime(fullpath)\n self.mtime = datetime.datetime.fromtimestamp(timestamp).isoformat()\n except:\n self.mtime = Null\n if config.DEBUG:\n print('File system might not support MACtimes.')\n try:\n timestamp = os.path.getatime(fullpath)\n self.atime = datetime.datetime.fromtimestamp(timestamp).isoformat()\n except:\n self.atime = Null\n if config.DEBUG:\n print('File system might not support MACtimes.')\n try:\n timestamp = os.path.getctime(fullpath)\n self.ctime = datetime.datetime.fromtimestamp(timestamp).isoformat()\n except:\n self.ctime = Null\n if config.DEBUG:\n print('File system might not support MACtimes.')\n try:\n self.md5 = hashlib.md5()\n self.sha1 = hashlib.sha1()\n self.sha256 = hashlib.sha256()\n with open(fullpath, 'rb') as f:\n for chunk in iter(lambda: f.read(config.CHUNKSIZE), b''):\n self.md5.update(chunk)\n self.sha1.update(chunk)\n self.sha256.update(chunk)\n self.md5 = str(self.md5.hexdigest())\n self.sha1 = str(self.sha1.hexdigest())\n self.sha256 = str(self.sha256.hexdigest())\n except:\n traceback.print_exc(file=sys.stderr)\n try:\n magic_default = magic.Magic(magic_file=config.MAGICFILE)\n magic_mime = magic.Magic(mime=True,\n magic_file=config.MAGICFILE)\n except:\n traceback.print_exc(file=sys.stderr)\n try: \n self.ftype = str(magic_default.from_file(fullpath))\n self.mtype = str(magic_mime.from_file(fullpath))\n self.btype = str(magic_default.from_buffer(open(fullpath).read(65536)))\n except:\n traceback.print_exc(file=sys.stderr)\n if config.DEBUG:\n print \"Filename:\\t\", self.name\n print \"UID/GID:\\t\", self.owner + \":\" + self.group\n print \"Permissions:\\t\", self.perm\n print (\"Magic:\\t\\tF:\", self.ftype, \"\\n\\t\\tM:\",\n self.mtype, \"\\n\\t\\tB:\", self.btype)\n print (\"Modified:\\t\", self.mtime, \"\\nAccessed:\\t\",\n self.atime, \"\\nChanged:\\t\", self.ctime)\n print (\"MD5:\\t\\t\", self.md5, \"\\nSHA1:\\t\\t\",\n self.sha1, \"\\nSHA256:\\t\\t\", self.sha256)\n"
] | true |
98,774 |
d274f778d563fdbd5abff6aec38ef02555a6b146
|
#!/usr/bin/env python
import roslib; roslib.load_manifest('brsu_hmm_eid_use_cases')
import roslib.message
import rospy
#from brics_actuator.msg import JointTorques
from brsu_hmm_eid_messages.msg import obs_arm_JointTorques
if __name__ == '__main__':
rospy.init_node('set_arm_effort', anonymous=True)
while not rospy.is_shutdown():
try:
pub = rospy.Publisher('/arm_controller/torque_command', obs_arm_JointTorques)
#msg2send = JointTorques()
#msg2send.poisonStamp.description = ""
#msg2send.poisonStamp.originator = ""
#msg2send.poisonStamp.qos = 1
#msg2send.torques = [5,5,5,5,5]
msg2send = obs_arm_JointTorques()
msg2send.header.stamp.secs = rospy.Time.now().secs
msg2send.torques = [5,5,5,5,5]
pub.publish(msg2send)
rospy.loginfo("publishing...")
rospy.sleep(1)
except rospy.ROSInterruptException:
pass
|
[
"#!/usr/bin/env python\nimport roslib; roslib.load_manifest('brsu_hmm_eid_use_cases')\nimport roslib.message \nimport rospy\n\n#from brics_actuator.msg import JointTorques\nfrom brsu_hmm_eid_messages.msg import obs_arm_JointTorques\n\nif __name__ == '__main__':\n rospy.init_node('set_arm_effort', anonymous=True)\n \n while not rospy.is_shutdown():\n try:\n pub = rospy.Publisher('/arm_controller/torque_command', obs_arm_JointTorques)\n #msg2send = JointTorques()\n #msg2send.poisonStamp.description = \"\"\n #msg2send.poisonStamp.originator = \"\"\n #msg2send.poisonStamp.qos = 1 \n #msg2send.torques = [5,5,5,5,5]\n msg2send = obs_arm_JointTorques()\n msg2send.header.stamp.secs = rospy.Time.now().secs\n msg2send.torques = [5,5,5,5,5]\n pub.publish(msg2send)\n rospy.loginfo(\"publishing...\")\n rospy.sleep(1)\n except rospy.ROSInterruptException:\n pass",
"import roslib\nroslib.load_manifest('brsu_hmm_eid_use_cases')\nimport roslib.message\nimport rospy\nfrom brsu_hmm_eid_messages.msg import obs_arm_JointTorques\nif __name__ == '__main__':\n rospy.init_node('set_arm_effort', anonymous=True)\n while not rospy.is_shutdown():\n try:\n pub = rospy.Publisher('/arm_controller/torque_command',\n obs_arm_JointTorques)\n msg2send = obs_arm_JointTorques()\n msg2send.header.stamp.secs = rospy.Time.now().secs\n msg2send.torques = [5, 5, 5, 5, 5]\n pub.publish(msg2send)\n rospy.loginfo('publishing...')\n rospy.sleep(1)\n except rospy.ROSInterruptException:\n pass\n",
"<import token>\nroslib.load_manifest('brsu_hmm_eid_use_cases')\n<import token>\nif __name__ == '__main__':\n rospy.init_node('set_arm_effort', anonymous=True)\n while not rospy.is_shutdown():\n try:\n pub = rospy.Publisher('/arm_controller/torque_command',\n obs_arm_JointTorques)\n msg2send = obs_arm_JointTorques()\n msg2send.header.stamp.secs = rospy.Time.now().secs\n msg2send.torques = [5, 5, 5, 5, 5]\n pub.publish(msg2send)\n rospy.loginfo('publishing...')\n rospy.sleep(1)\n except rospy.ROSInterruptException:\n pass\n",
"<import token>\n<code token>\n<import token>\n<code token>\n"
] | false |
98,775 |
ced2377d0e950d10b74cdef14bf89d1fd6235922
|
#!/usr/bin/env python
from __future__ import division
import roslib; roslib.load_manifest('galvodirector')
import rospy
import copy
import numpy as N
import tf
import threading
from galvodirector.msg import MsgGalvoCommand
from tracking.msg import ArenaState
from geometry_msgs.msg import Point, Transform
from sensor_msgs.msg import PointCloud, ChannelFloat32
from std_msgs.msg import Header
from patterngen.msg import MsgPattern
from patterngen.srv import *
class NullClass:
pass
###############################################################################
###############################################################################
###############################################################################
# The class GalvoDirector subscribes to ArenaState, and draws the commanded
# pattern into the commanded frame, e.g. draw a grid at the origin of the
# "Fly1" frame, or draw a circle at the origin of the "Arena" frame.
#
# Uses the PatternGen service to compute the various point locations.
# Publishes GalvoDriver/pointcloud for the galvos to scan.
#
###############################################################################
###############################################################################
###############################################################################
class GalvoDirector:
def __init__(self):
self.initialized = False
self.lock = threading.Lock()
self.tfrx = tf.TransformListener()
# Messages
#self.subTF = rospy.Subscriber('tf', Transform, self.Transform_callback)
queue_size_arenastate = rospy.get_param('tracking/queue_size_arenastate', 1)
self.subArenaState = rospy.Subscriber('ArenaState', ArenaState, self.ArenaState_callback, queue_size=queue_size_arenastate)
self.subGalvoCommand = rospy.Subscriber('GalvoDirector/command', MsgGalvoCommand, self.GalvoCommand_callback, queue_size=2)
self.pubGalvoPointCloud = rospy.Publisher('GalvoDriver/pointcloud', PointCloud, latch=True)
self.pubGalvoPointCloudMm = rospy.Publisher('GalvoDriver/pointcloudmm', PointCloud, latch=True)
# Attach to services.
try:
rospy.wait_for_service('GetPatternPoints')
self.GetPatternPoints = rospy.ServiceProxy('GetPatternPoints', SrvGetPatternPoints)
except (rospy.ServiceException, IOError), e:
print "Service GetPatternPoints not found: %s" % e
rospy.core.add_client_shutdown_hook(self.Preshutdown_callback)
rospy.on_shutdown(self.OnShutdown_callback)
# Calibration data (median values) to convert millimeters to volts, from "roslaunch galvodirector calibrator.launch".
self.mx = rospy.get_param('galvodirector/mx', 0.0) #0.05111587
self.bx = rospy.get_param('galvodirector/bx', 0.0) #-0.90610801
self.my = rospy.get_param('galvodirector/my', 0.0) #-0.05003545
self.by = rospy.get_param('galvodirector/by', 0.0) #3.15307329
self.xBeamsink = rospy.get_param('galvodirector/xBeamsink', 0.0) # volts
self.yBeamsink = rospy.get_param('galvodirector/yBeamsink', 0.0) # volts
self.enable_laser = False
self.arenastate = ArenaState()
self.pointcloudtemplate_list = []
self.pointcloud_list = []
self.frameidPosition_list = []
self.units = 'millimeters'
self.pointcloudBeamsink = PointCloud(header=Header(frame_id='Arena',
stamp=rospy.Time.now()),
points=[Point(x=self.xBeamsink,
y=self.yBeamsink,
z=0.0)],
channels=[ChannelFloat32(name='intensity',
values=[0.0])])
self.pointcloudBeamsinkMm = self.UnitsFromVoltsPointcloud(copy.deepcopy(self.pointcloudBeamsink))
self.timePrev = rospy.Time.now().to_sec()
self.initialized = True
def Transform_callback(self, tr):
# If any of the frames in frameidPosition_list are updated, then publish the pointcloud.
for x in tr.transforms:
if (x.child_frame_id in self.frameidPosition_list):
self.PublishPointcloud()
break
#rospy.logwarn ('Transform_callback() dt=%0.5f' % (rospy.Time.now().to_sec()-self.timePrev)) # Some of these are slow, e.g. 0.08, 0.1
#self.timePrev = rospy.Time.now().to_sec()
def ArenaState_callback(self, arenastate):
with self.lock:
self.arenastate = arenastate
self.PublishPointcloud()
def Preshutdown_callback(self, reason=None):
self.enable_laser = False
self.PublishPointcloud()
#self.MoveToBeamsink()
def OnShutdown_callback(self):
pass
# GalvoCommand_callback()
# Receive the list of patterns, and store their pointcloud templates (centered at origin).
#
def GalvoCommand_callback(self, command):
if (self.initialized):
with self.lock:
self.enable_laser = command.enable_laser
self.units = command.units # Units apply to all the patterns.
#rospy.logwarn('enable_laser: %s' % self.enable_laser)
# If patterns were given, then load them into the pointcloudtemplates.
if len(command.pattern_list) > 0:
# Regenerate all the patterns requested. This "template" is the computed points centered at (0,0).
self.pointcloudtemplate_list = []
self.frameidPosition_list = []
for iPattern in range(len(command.pattern_list)):
self.frameidPosition_list.append(command.pattern_list[iPattern].frameidPosition) # Save all the target frames for the TF callback.
# Compute pattern points, if necessary.
if len(command.pattern_list[iPattern].points)==0:
gpp = self.GetPatternPoints(SrvGetPatternPointsRequest(pattern=command.pattern_list[iPattern]))
pattern = gpp.pattern
else:
pattern = command.pattern_list[iPattern]
# Store the pointcloud templates.
self.pointcloudtemplate_list.append(self.PointCloudFromPoints(pattern.frameidPosition, pattern.points))
self.PublishPointcloud()
# GetMaxPatternRate()
# Get the fastest pattern update rate.
#
def GetMaxPatternRate(self, pattern_list):
hzPatternMax = 0
for pattern in pattern_list:
hzPatternMax = max(hzPatternMax, pattern.hzPattern)
return hzPatternMax
# PublishPointcloud()
# If laser enabled, then transform the pointcloudtemplates to their respective frames,
# If laser disabled, then use the beamsink pointcloud.
#
# Publish points to the galvo driver.
#
def PublishPointcloud(self):
if self.initialized:
if self.enable_laser:
self.pointcloud_list = []
if len(self.pointcloudtemplate_list)>0 and len(self.arenastate.flies)>0:
for i in range(len(self.pointcloudtemplate_list)):
pointcloud_template = self.pointcloudtemplate_list[i]
#t1 = rospy.Time.now().to_sec()
try:
pointcloud_template.header.stamp = self.tfrx.getLatestCommonTime('Arena', pointcloud_template.header.frame_id)
except tf.Exception:
pointcloud_template.header.stamp = self.arenastate.flies[0].header.stamp # BUG: Need to make this use the correct fly #.
#t2 = rospy.Time.now().to_sec()
if self.tfrx.canTransform('Arena',
pointcloud_template.header.frame_id,
pointcloud_template.header.stamp):
try:
pointcloud = self.tfrx.transformPointCloud('Arena', pointcloud_template)
except tf.Exception, e:
rospy.logwarn('Exception transforming pointcloud frame %s->%s: %s' % (pointcloud_template.header.frame_id, 'Arena', e))
else:
self.pointcloud_list.append(pointcloud)
else:
rospy.logwarn ('Cannot transform from frame %s at %s' % (pointcloud_template.header.frame_id, pointcloud_template.header.stamp))
#t3 = rospy.Time.now().to_sec()
#rospy.logwarn('GalvoDirector, stamp=%s, wait dt=%0.5f, transform dt=%0.5f' % (pointcloud_template.header.stamp,(t2-t1),(t3-t2))) # BUG: Occasional 0.1 sec times.
#rospy.logwarn ('now,pointcloud_template,%s,%s' % (rospy.Time.now(), pointcloud_template.header.stamp))
#rospy.logwarn('tfrx.getLatestCommonTime()=%s, stamp=%s' % (self.tfrx.getLatestCommonTime('Arena', pointcloud_template.header.frame_id),pointcloud_template.header.stamp))
# Publish a pointcloud in volts and mm.
pointcloudmm = self.GetUnifiedPointcloud(self.pointcloud_list)
pointcloudv = self.VoltsFromUnitsPointcloud(copy.deepcopy(pointcloudmm))
self.pubGalvoPointCloud.publish(pointcloudv)
self.pubGalvoPointCloudMm.publish(pointcloudmm)
else: # not self.enable_laser
# Point laser at the beam sink.
self.pointcloudBeamsink.header.stamp=rospy.Time.now()
self.pubGalvoPointCloud.publish(self.pointcloudBeamsink)
self.pointcloudBeamsinkMm.header.stamp=rospy.Time.now()
self.pubGalvoPointCloudMm.publish(self.pointcloudBeamsinkMm)
# GetUnifiedPointcloud()
# Combine multiple pointclouds into one pointcloud.
#
def GetUnifiedPointcloud(self, pointcloud_list):
pointcloudUnified = PointCloud()
pointcloudUnified.points = []
pointcloudUnified.channels = []
if len(pointcloud_list) > 0:
pointcloudUnified.header = pointcloud_list[0].header # They all have different headers, but just use the first one.
pointcloudUnified.channels.append(ChannelFloat32(name='intensity', values=[]))
for pointcloud in pointcloud_list:
pointcloudUnified.points.extend(pointcloud.points)
pointcloudUnified.channels[0].values.extend(pointcloud.channels[0].values)
return pointcloudUnified
# AddPatternToTemplates()
# Append the requested pattern to the list of pointcloud templates.
#
def AddPatternToTemplates(self, req_gpp):
if (self.initialized):
resp_gpp = self.GetPatternPoints(req_gpp)
pointcloud = self.PointCloudFromPoints('Arena', resp_gpp.pattern.points)
self.pointcloudtemplate_list.append(pointcloud)
#rospy.logwarn(resp_gpp.pattern.points)
# VoltsFromUnitsPointcloud()
# Inplace convert the pointcloud units to volts.
#
def VoltsFromUnitsPointcloud(self, pointcloud):
if self.units == 'millimeters':
for point in pointcloud.points:
point.x *= self.mx
point.x += self.bx
point.y *= self.my
point.y += self.by
# Clip to 10
point.x = min(point.x,+10.0)
point.x = max(point.x,-10.0)
point.y = min(point.y,+10.0)
point.y = max(point.y,-10.0)
elif self.units=='volts':
pass
return pointcloud
# UnitsFromVoltsPointcloud()
# Inplace convert the pointcloud units to volts.
#
def UnitsFromVoltsPointcloud(self, pointcloud):
if self.units == 'millimeters':
for point in pointcloud.points:
point.x -= self.bx
point.x /= self.mx
point.y -= self.by
point.y /= self.my
elif self.units=='volts':
pass
return pointcloud
# PointCloudFromPoints()
# Reformat the given points as a pointcloud.
#
def PointCloudFromPoints(self, frameidPosition, points): # BUG: add frameidAngle
points_xy = []
intensity = []
for i in range(len(points)):
points_xy.append(Point(x=points[i].x,
y=points[i].y,
z=0.0))
intensity.append(1.0)# i.e. LASERON #points[i].z)
if len(intensity)>0:
intensity[0] = 0.0 # Make sure laser is off when going to start of pattern.
pointcloud = PointCloud(header=Header(frame_id=frameidPosition, stamp=rospy.Time.now()),
points=points_xy,
channels=[ChannelFloat32(name='intensity',
values=intensity),])
return pointcloud
def Main(self):
rospy.spin()
if __name__ == '__main__':
rospy.init_node('GalvoDirector')
gd = GalvoDirector()
gd.Main()
|
[
"#!/usr/bin/env python\nfrom __future__ import division\nimport roslib; roslib.load_manifest('galvodirector')\nimport rospy\nimport copy\nimport numpy as N\nimport tf\nimport threading\n\nfrom galvodirector.msg import MsgGalvoCommand\nfrom tracking.msg import ArenaState\nfrom geometry_msgs.msg import Point, Transform\nfrom sensor_msgs.msg import PointCloud, ChannelFloat32\nfrom std_msgs.msg import Header\nfrom patterngen.msg import MsgPattern\nfrom patterngen.srv import *\n\n\nclass NullClass:\n pass\n \n\n###############################################################################\n###############################################################################\n###############################################################################\n# The class GalvoDirector subscribes to ArenaState, and draws the commanded\n# pattern into the commanded frame, e.g. draw a grid at the origin of the \n# \"Fly1\" frame, or draw a circle at the origin of the \"Arena\" frame.\n#\n# Uses the PatternGen service to compute the various point locations. \n# Publishes GalvoDriver/pointcloud for the galvos to scan.\n#\n###############################################################################\n###############################################################################\n###############################################################################\nclass GalvoDirector:\n\n def __init__(self):\n self.initialized = False\n self.lock = threading.Lock()\n \n self.tfrx = tf.TransformListener()\n\n # Messages\n #self.subTF = rospy.Subscriber('tf', Transform, self.Transform_callback)\n queue_size_arenastate = rospy.get_param('tracking/queue_size_arenastate', 1)\n self.subArenaState = rospy.Subscriber('ArenaState', ArenaState, self.ArenaState_callback, queue_size=queue_size_arenastate)\n\n self.subGalvoCommand = rospy.Subscriber('GalvoDirector/command', MsgGalvoCommand, self.GalvoCommand_callback, queue_size=2)\n self.pubGalvoPointCloud = rospy.Publisher('GalvoDriver/pointcloud', PointCloud, latch=True)\n self.pubGalvoPointCloudMm = rospy.Publisher('GalvoDriver/pointcloudmm', PointCloud, latch=True)\n\n # Attach to services.\n try:\n rospy.wait_for_service('GetPatternPoints')\n self.GetPatternPoints = rospy.ServiceProxy('GetPatternPoints', SrvGetPatternPoints)\n except (rospy.ServiceException, IOError), e:\n print \"Service GetPatternPoints not found: %s\" % e\n\n\n rospy.core.add_client_shutdown_hook(self.Preshutdown_callback)\n rospy.on_shutdown(self.OnShutdown_callback)\n \n # Calibration data (median values) to convert millimeters to volts, from \"roslaunch galvodirector calibrator.launch\".\n self.mx = rospy.get_param('galvodirector/mx', 0.0) #0.05111587\n self.bx = rospy.get_param('galvodirector/bx', 0.0) #-0.90610801\n self.my = rospy.get_param('galvodirector/my', 0.0) #-0.05003545\n self.by = rospy.get_param('galvodirector/by', 0.0) #3.15307329\n \n self.xBeamsink = rospy.get_param('galvodirector/xBeamsink', 0.0) # volts\n self.yBeamsink = rospy.get_param('galvodirector/yBeamsink', 0.0) # volts\n self.enable_laser = False\n \n self.arenastate = ArenaState()\n self.pointcloudtemplate_list = []\n self.pointcloud_list = []\n self.frameidPosition_list = []\n self.units = 'millimeters'\n \n self.pointcloudBeamsink = PointCloud(header=Header(frame_id='Arena', \n stamp=rospy.Time.now()),\n points=[Point(x=self.xBeamsink, \n y=self.yBeamsink, \n z=0.0)],\n channels=[ChannelFloat32(name='intensity',\n values=[0.0])])\n self.pointcloudBeamsinkMm = self.UnitsFromVoltsPointcloud(copy.deepcopy(self.pointcloudBeamsink))\n \n \n \n self.timePrev = rospy.Time.now().to_sec()\n \n self.initialized = True\n\n\n def Transform_callback(self, tr):\n # If any of the frames in frameidPosition_list are updated, then publish the pointcloud.\n for x in tr.transforms:\n if (x.child_frame_id in self.frameidPosition_list):\n self.PublishPointcloud()\n break\n #rospy.logwarn ('Transform_callback() dt=%0.5f' % (rospy.Time.now().to_sec()-self.timePrev)) # Some of these are slow, e.g. 0.08, 0.1\n #self.timePrev = rospy.Time.now().to_sec()\n\n\n def ArenaState_callback(self, arenastate):\n with self.lock:\n self.arenastate = arenastate\n self.PublishPointcloud()\n \n \n def Preshutdown_callback(self, reason=None):\n self.enable_laser = False\n self.PublishPointcloud()\n #self.MoveToBeamsink()\n \n \n def OnShutdown_callback(self):\n pass\n\n\n # GalvoCommand_callback()\n # Receive the list of patterns, and store their pointcloud templates (centered at origin).\n #\n def GalvoCommand_callback(self, command):\n if (self.initialized):\n with self.lock:\n self.enable_laser = command.enable_laser\n self.units = command.units # Units apply to all the patterns.\n #rospy.logwarn('enable_laser: %s' % self.enable_laser)\n \n # If patterns were given, then load them into the pointcloudtemplates.\n if len(command.pattern_list) > 0:\n # Regenerate all the patterns requested. This \"template\" is the computed points centered at (0,0).\n self.pointcloudtemplate_list = []\n self.frameidPosition_list = []\n \n for iPattern in range(len(command.pattern_list)):\n self.frameidPosition_list.append(command.pattern_list[iPattern].frameidPosition) # Save all the target frames for the TF callback.\n \n # Compute pattern points, if necessary.\n if len(command.pattern_list[iPattern].points)==0:\n gpp = self.GetPatternPoints(SrvGetPatternPointsRequest(pattern=command.pattern_list[iPattern]))\n pattern = gpp.pattern\n else:\n pattern = command.pattern_list[iPattern]\n \n # Store the pointcloud templates.\n self.pointcloudtemplate_list.append(self.PointCloudFromPoints(pattern.frameidPosition, pattern.points))\n \n self.PublishPointcloud()\n\n\n # GetMaxPatternRate()\n # Get the fastest pattern update rate.\n #\n def GetMaxPatternRate(self, pattern_list):\n hzPatternMax = 0\n for pattern in pattern_list:\n hzPatternMax = max(hzPatternMax, pattern.hzPattern)\n\n return hzPatternMax\n \n \n \n # PublishPointcloud()\n # If laser enabled, then transform the pointcloudtemplates to their respective frames,\n # If laser disabled, then use the beamsink pointcloud.\n #\n # Publish points to the galvo driver. \n #\n def PublishPointcloud(self): \n\n if self.initialized:\n if self.enable_laser:\n self.pointcloud_list = []\n if len(self.pointcloudtemplate_list)>0 and len(self.arenastate.flies)>0:\n for i in range(len(self.pointcloudtemplate_list)):\n pointcloud_template = self.pointcloudtemplate_list[i]\n #t1 = rospy.Time.now().to_sec()\n \n try:\n pointcloud_template.header.stamp = self.tfrx.getLatestCommonTime('Arena', pointcloud_template.header.frame_id)\n except tf.Exception:\n pointcloud_template.header.stamp = self.arenastate.flies[0].header.stamp # BUG: Need to make this use the correct fly #.\n \n #t2 = rospy.Time.now().to_sec()\n if self.tfrx.canTransform('Arena', \n pointcloud_template.header.frame_id, \n pointcloud_template.header.stamp):\n try:\n pointcloud = self.tfrx.transformPointCloud('Arena', pointcloud_template)\n except tf.Exception, e:\n rospy.logwarn('Exception transforming pointcloud frame %s->%s: %s' % (pointcloud_template.header.frame_id, 'Arena', e))\n else:\n self.pointcloud_list.append(pointcloud)\n else:\n rospy.logwarn ('Cannot transform from frame %s at %s' % (pointcloud_template.header.frame_id, pointcloud_template.header.stamp))\n \n #t3 = rospy.Time.now().to_sec()\n #rospy.logwarn('GalvoDirector, stamp=%s, wait dt=%0.5f, transform dt=%0.5f' % (pointcloud_template.header.stamp,(t2-t1),(t3-t2))) # BUG: Occasional 0.1 sec times.\n #rospy.logwarn ('now,pointcloud_template,%s,%s' % (rospy.Time.now(), pointcloud_template.header.stamp))\n \n #rospy.logwarn('tfrx.getLatestCommonTime()=%s, stamp=%s' % (self.tfrx.getLatestCommonTime('Arena', pointcloud_template.header.frame_id),pointcloud_template.header.stamp))\n \n \n # Publish a pointcloud in volts and mm.\n pointcloudmm = self.GetUnifiedPointcloud(self.pointcloud_list)\n pointcloudv = self.VoltsFromUnitsPointcloud(copy.deepcopy(pointcloudmm))\n self.pubGalvoPointCloud.publish(pointcloudv)\n self.pubGalvoPointCloudMm.publish(pointcloudmm)\n \n else: # not self.enable_laser\n \n # Point laser at the beam sink.\n self.pointcloudBeamsink.header.stamp=rospy.Time.now()\n self.pubGalvoPointCloud.publish(self.pointcloudBeamsink)\n self.pointcloudBeamsinkMm.header.stamp=rospy.Time.now()\n self.pubGalvoPointCloudMm.publish(self.pointcloudBeamsinkMm)\n \n\n # GetUnifiedPointcloud()\n # Combine multiple pointclouds into one pointcloud.\n #\n def GetUnifiedPointcloud(self, pointcloud_list):\n pointcloudUnified = PointCloud()\n pointcloudUnified.points = []\n pointcloudUnified.channels = []\n \n if len(pointcloud_list) > 0:\n pointcloudUnified.header = pointcloud_list[0].header # They all have different headers, but just use the first one.\n pointcloudUnified.channels.append(ChannelFloat32(name='intensity', values=[]))\n \n for pointcloud in pointcloud_list:\n pointcloudUnified.points.extend(pointcloud.points)\n pointcloudUnified.channels[0].values.extend(pointcloud.channels[0].values)\n \n return pointcloudUnified\n \n \n # AddPatternToTemplates()\n # Append the requested pattern to the list of pointcloud templates.\n #\n def AddPatternToTemplates(self, req_gpp):\n if (self.initialized):\n resp_gpp = self.GetPatternPoints(req_gpp)\n pointcloud = self.PointCloudFromPoints('Arena', resp_gpp.pattern.points)\n self.pointcloudtemplate_list.append(pointcloud)\n #rospy.logwarn(resp_gpp.pattern.points)\n\n\n # VoltsFromUnitsPointcloud()\n # Inplace convert the pointcloud units to volts.\n #\n def VoltsFromUnitsPointcloud(self, pointcloud):\n if self.units == 'millimeters':\n for point in pointcloud.points:\n point.x *= self.mx\n point.x += self.bx\n\n point.y *= self.my\n point.y += self.by\n \n # Clip to 10\n point.x = min(point.x,+10.0)\n point.x = max(point.x,-10.0)\n point.y = min(point.y,+10.0)\n point.y = max(point.y,-10.0)\n \n elif self.units=='volts':\n pass\n\n \n return pointcloud\n \n\n # UnitsFromVoltsPointcloud()\n # Inplace convert the pointcloud units to volts.\n #\n def UnitsFromVoltsPointcloud(self, pointcloud):\n if self.units == 'millimeters':\n for point in pointcloud.points:\n point.x -= self.bx\n point.x /= self.mx\n\n point.y -= self.by\n point.y /= self.my\n \n elif self.units=='volts':\n pass\n\n \n return pointcloud\n \n\n # PointCloudFromPoints()\n # Reformat the given points as a pointcloud.\n #\n def PointCloudFromPoints(self, frameidPosition, points): # BUG: add frameidAngle \n points_xy = [] \n intensity = []\n for i in range(len(points)):\n points_xy.append(Point(x=points[i].x,\n y=points[i].y,\n z=0.0))\n intensity.append(1.0)# i.e. LASERON #points[i].z)\n \n if len(intensity)>0:\n intensity[0] = 0.0 # Make sure laser is off when going to start of pattern.\n \n\n pointcloud = PointCloud(header=Header(frame_id=frameidPosition, stamp=rospy.Time.now()),\n points=points_xy,\n channels=[ChannelFloat32(name='intensity',\n values=intensity),])\n return pointcloud \n \n\n def Main(self):\n rospy.spin()\n \n\n\nif __name__ == '__main__':\n rospy.init_node('GalvoDirector')\n gd = GalvoDirector()\n gd.Main()\n \n\n\n"
] | true |
98,776 |
409a431a9dac76da605b18771d81d61ccd6d77b6
|
from django.contrib import admin
from .models import InstagramUser, InstagramPost, Media
admin.site.register([InstagramUser, InstagramPost, Media])
|
[
"from django.contrib import admin\nfrom .models import InstagramUser, InstagramPost, Media\n\n\nadmin.site.register([InstagramUser, InstagramPost, Media])\n",
"from django.contrib import admin\nfrom .models import InstagramUser, InstagramPost, Media\nadmin.site.register([InstagramUser, InstagramPost, Media])\n",
"<import token>\nadmin.site.register([InstagramUser, InstagramPost, Media])\n",
"<import token>\n<code token>\n"
] | false |
98,777 |
1fc0e2847b0986cc2f7014a2ac133f82e6f4472b
|
import plotter
import numpy as np
import matrix_io
import random
import neural_net
def stochastic_epoch(network, X, y):
order = range(X.shape[0])
random.shuffle(order)
for c in order:
network.backpropagate(X[c], y[c])
def SGD(network, X, y, epochs):
for c in range(epochs):
stochastic_epoch(network, X, y)
def train_nn(network, X, y, Xtest, ytest):
for c in range(10):
SGD(network, X, y, 50)
print "training error: " + str(network.classification_error(X, y))
print "test error : " + str(network.classification_error(Xtest, ytest))
plotter.plot_2D_model_predictions(network, X, y, "plots/foo/run_" + str(c) + ".png")
X, y = matrix_io.load_dataset("data/xor")
Xt, yt = matrix_io.load_dataset("data/xor_test")
network = neural_net.NeuralNet([2,4,4,1], 3)
train_nn(network, X, y, Xt, yt)
|
[
"import plotter\r\nimport numpy as np\r\nimport matrix_io\r\nimport random\r\n\r\nimport neural_net\r\n\r\ndef stochastic_epoch(network, X, y):\r\n order = range(X.shape[0])\r\n random.shuffle(order)\r\n for c in order:\r\n network.backpropagate(X[c], y[c])\r\n\r\ndef SGD(network, X, y, epochs):\r\n for c in range(epochs):\r\n stochastic_epoch(network, X, y)\r\n\r\ndef train_nn(network, X, y, Xtest, ytest):\r\n for c in range(10):\r\n SGD(network, X, y, 50)\r\n print \"training error: \" + str(network.classification_error(X, y))\r\n print \"test error : \" + str(network.classification_error(Xtest, ytest))\r\n plotter.plot_2D_model_predictions(network, X, y, \"plots/foo/run_\" + str(c) + \".png\")\r\n\r\n\r\n\r\nX, y = matrix_io.load_dataset(\"data/xor\")\r\nXt, yt = matrix_io.load_dataset(\"data/xor_test\")\r\nnetwork = neural_net.NeuralNet([2,4,4,1], 3)\r\ntrain_nn(network, X, y, Xt, yt)\r\n\r\n\r\n"
] | true |
98,778 |
ea85b219096358f6fa3a1a4a57bc5bf32c2b8f60
|
#!/usr/bin/env python
import fnmatch
import os
import ROOT
import sys
import math
import json
import re
from optparse import OptionParser
def run(command):
print command
os.system(command)
def listFromWorkspace(file, workspace, set):
res = []
wsFile = ROOT.TFile(file)
argSet = wsFile.Get(workspace).set(set)
it = argSet.createIterator()
var = it.Next()
while var:
res.append(var.GetName())
var = it.Next()
return res
usage = """
"""
parser = OptionParser(usage=usage)
parser.add_option("--ws", dest="ws", help="The input workspace")
parser.add_option("--cfg", dest="cfg", help="json file specifying groups")
(options, args) = parser.parse_args()
ws = options.ws
cfg = options.cfg
ROOT.gSystem.Load('$CMSSW_BASE/lib/$SCRAM_ARCH/libHiggsAnalysisCombinedLimit')
data = json.load(open(cfg))
#print data
paramList = listFromWorkspace(ws, 'w', 'ModelConfig_NuisParams')
#print '\n'.join(paramList)
for key, val in data.items():
matched = set()
#print "** Doing group: " + key
for pattern in val:
rgx = re.compile(pattern)
matched.update(x for x in paramList if re.match(rgx, x))
#print "* Using regex: " + pattern
#print matched
#print key + ' group = ' + str(len(matched))
print key + ' group = ' + (' '.join(matched))
|
[
"#!/usr/bin/env python\nimport fnmatch\nimport os\nimport ROOT\nimport sys\nimport math\nimport json\nimport re\nfrom optparse import OptionParser\n\ndef run(command):\n print command\n os.system(command)\n\ndef listFromWorkspace(file, workspace, set):\n res = []\n wsFile = ROOT.TFile(file)\n argSet = wsFile.Get(workspace).set(set)\n it = argSet.createIterator()\n var = it.Next()\n while var:\n res.append(var.GetName())\n var = it.Next()\n return res\n\nusage = \"\"\"\n\"\"\"\nparser = OptionParser(usage=usage)\n\nparser.add_option(\"--ws\", dest=\"ws\", help=\"The input workspace\")\nparser.add_option(\"--cfg\", dest=\"cfg\", help=\"json file specifying groups\")\n\n(options, args) = parser.parse_args()\n\nws = options.ws\ncfg = options.cfg\n\nROOT.gSystem.Load('$CMSSW_BASE/lib/$SCRAM_ARCH/libHiggsAnalysisCombinedLimit')\n\ndata = json.load(open(cfg))\n\n#print data\n\nparamList = listFromWorkspace(ws, 'w', 'ModelConfig_NuisParams')\n#print '\\n'.join(paramList)\n\nfor key, val in data.items():\n matched = set()\n #print \"** Doing group: \" + key\n for pattern in val:\n rgx = re.compile(pattern)\n matched.update(x for x in paramList if re.match(rgx, x))\n #print \"* Using regex: \" + pattern\n #print matched\n #print key + ' group = ' + str(len(matched)) \n print key + ' group = ' + (' '.join(matched))\n \n \n"
] | true |
98,779 |
1faa4261c9a8db58974fb76c9a3b06c798870de7
|
"""
Command line options tests
"""
import os
from ._base import PyconizrTestCase
from pyconizr.run import iconize
from pyconizr.options import ArgParser
class CmdLineTests(PyconizrTestCase):
def pyconizr(self, *args):
iconize(**dict(vars(ArgParser().parse_args(args)),
**self.iconizr.options))
class ArgsTests(CmdLineTests):
def test_nopng(self):
self.pyconizr('--nopng', '--out-icons', 'icons')
png_sprite = os.path.splitext(self.iconizr.sprite.path)[0] + '.png'
self.assertNotExists(png_sprite)
for icon in self.iconizr.icons:
self.assertNotExists(os.path.splitext(icon.path)[0] + '.png')
|
[
"\"\"\"\r\nCommand line options tests\r\n\"\"\"\r\n\r\nimport os\r\n\r\nfrom ._base import PyconizrTestCase\r\n\r\nfrom pyconizr.run import iconize\r\nfrom pyconizr.options import ArgParser\r\n\r\n\r\nclass CmdLineTests(PyconizrTestCase):\r\n\r\n def pyconizr(self, *args):\r\n iconize(**dict(vars(ArgParser().parse_args(args)),\r\n **self.iconizr.options))\r\n\r\n\r\nclass ArgsTests(CmdLineTests):\r\n\r\n def test_nopng(self):\r\n self.pyconizr('--nopng', '--out-icons', 'icons')\r\n\r\n png_sprite = os.path.splitext(self.iconizr.sprite.path)[0] + '.png'\r\n self.assertNotExists(png_sprite)\r\n\r\n for icon in self.iconizr.icons:\r\n self.assertNotExists(os.path.splitext(icon.path)[0] + '.png')\r\n",
"<docstring token>\nimport os\nfrom ._base import PyconizrTestCase\nfrom pyconizr.run import iconize\nfrom pyconizr.options import ArgParser\n\n\nclass CmdLineTests(PyconizrTestCase):\n\n def pyconizr(self, *args):\n iconize(**dict(vars(ArgParser().parse_args(args)), **self.iconizr.\n options))\n\n\nclass ArgsTests(CmdLineTests):\n\n def test_nopng(self):\n self.pyconizr('--nopng', '--out-icons', 'icons')\n png_sprite = os.path.splitext(self.iconizr.sprite.path)[0] + '.png'\n self.assertNotExists(png_sprite)\n for icon in self.iconizr.icons:\n self.assertNotExists(os.path.splitext(icon.path)[0] + '.png')\n",
"<docstring token>\n<import token>\n\n\nclass CmdLineTests(PyconizrTestCase):\n\n def pyconizr(self, *args):\n iconize(**dict(vars(ArgParser().parse_args(args)), **self.iconizr.\n options))\n\n\nclass ArgsTests(CmdLineTests):\n\n def test_nopng(self):\n self.pyconizr('--nopng', '--out-icons', 'icons')\n png_sprite = os.path.splitext(self.iconizr.sprite.path)[0] + '.png'\n self.assertNotExists(png_sprite)\n for icon in self.iconizr.icons:\n self.assertNotExists(os.path.splitext(icon.path)[0] + '.png')\n",
"<docstring token>\n<import token>\n\n\nclass CmdLineTests(PyconizrTestCase):\n <function token>\n\n\nclass ArgsTests(CmdLineTests):\n\n def test_nopng(self):\n self.pyconizr('--nopng', '--out-icons', 'icons')\n png_sprite = os.path.splitext(self.iconizr.sprite.path)[0] + '.png'\n self.assertNotExists(png_sprite)\n for icon in self.iconizr.icons:\n self.assertNotExists(os.path.splitext(icon.path)[0] + '.png')\n",
"<docstring token>\n<import token>\n<class token>\n\n\nclass ArgsTests(CmdLineTests):\n\n def test_nopng(self):\n self.pyconizr('--nopng', '--out-icons', 'icons')\n png_sprite = os.path.splitext(self.iconizr.sprite.path)[0] + '.png'\n self.assertNotExists(png_sprite)\n for icon in self.iconizr.icons:\n self.assertNotExists(os.path.splitext(icon.path)[0] + '.png')\n",
"<docstring token>\n<import token>\n<class token>\n\n\nclass ArgsTests(CmdLineTests):\n <function token>\n",
"<docstring token>\n<import token>\n<class token>\n<class token>\n"
] | false |
98,780 |
95222f15b38d3ecf4e3922f496250fd9af59ccec
|
#Cassandra Delieto
#Python vs. 3.6 using sublime text editor
#1/30/17
from tkinter import *
import tkinter as ttk
from datetime import datetime
from datetime import timedelta
import shutil, time, os, sqlite3
import Drill_5
def create_db(self):
conn = sqlite3.connect('timestamp.db')
with conn:
cur = conn.cursor()
cur.execute("CREATE TABLE if not exists tbl_timestamp(ID INTEGER PRIMARY KEY, tsp REAL );")
cur.execute("""INSERT INTO tbl_timestamp (tsp) VALUES (0.0)""")
conn.commit()
conn.close()
first_run(self)
def first_run(self):
conn = sqlite3.connect('timestamp.db')
with conn:
cur = conn.cursor()
current_time=time.time()
cur.execute("INSERT INTO tbl_timestamp (tsp) VALUES ({})".format(current_time,))
conn.commit()
conn.close()
timer(self)
def timer(self):
conn = sqlite3.connect('timestamp.db')
with conn:
cur = conn.cursor()
cur.execute("SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1")
recent=cur.fetchone()[0]
theTime=time.ctime(recent)
print (theTime)
self.lr_var.set(theTime)
conn.commit()
conn.close()
if __name__ == "__main__":
pass
|
[
"#Cassandra Delieto\n#Python vs. 3.6 using sublime text editor\n#1/30/17\n\nfrom tkinter import *\nimport tkinter as ttk\nfrom datetime import datetime\nfrom datetime import timedelta\nimport shutil, time, os, sqlite3\nimport Drill_5\n\ndef create_db(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\"CREATE TABLE if not exists tbl_timestamp(ID INTEGER PRIMARY KEY, tsp REAL );\")\n cur.execute(\"\"\"INSERT INTO tbl_timestamp (tsp) VALUES (0.0)\"\"\")\n conn.commit()\n conn.close()\n first_run(self)\n\ndef first_run(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n current_time=time.time()\n cur.execute(\"INSERT INTO tbl_timestamp (tsp) VALUES ({})\".format(current_time,))\n conn.commit()\n conn.close()\n timer(self)\n\ndef timer(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\"SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1\")\n recent=cur.fetchone()[0]\n theTime=time.ctime(recent)\n print (theTime)\n self.lr_var.set(theTime)\n conn.commit()\n conn.close()\n\nif __name__ == \"__main__\":\n pass\n",
"from tkinter import *\nimport tkinter as ttk\nfrom datetime import datetime\nfrom datetime import timedelta\nimport shutil, time, os, sqlite3\nimport Drill_5\n\n\ndef create_db(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'CREATE TABLE if not exists tbl_timestamp(ID INTEGER PRIMARY KEY, tsp REAL );'\n )\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES (0.0)')\n conn.commit()\n conn.close()\n first_run(self)\n\n\ndef first_run(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n current_time = time.time()\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES ({})'.format(\n current_time))\n conn.commit()\n conn.close()\n timer(self)\n\n\ndef timer(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1')\n recent = cur.fetchone()[0]\n theTime = time.ctime(recent)\n print(theTime)\n self.lr_var.set(theTime)\n conn.commit()\n conn.close()\n\n\nif __name__ == '__main__':\n pass\n",
"<import token>\n\n\ndef create_db(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'CREATE TABLE if not exists tbl_timestamp(ID INTEGER PRIMARY KEY, tsp REAL );'\n )\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES (0.0)')\n conn.commit()\n conn.close()\n first_run(self)\n\n\ndef first_run(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n current_time = time.time()\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES ({})'.format(\n current_time))\n conn.commit()\n conn.close()\n timer(self)\n\n\ndef timer(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1')\n recent = cur.fetchone()[0]\n theTime = time.ctime(recent)\n print(theTime)\n self.lr_var.set(theTime)\n conn.commit()\n conn.close()\n\n\nif __name__ == '__main__':\n pass\n",
"<import token>\n\n\ndef create_db(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'CREATE TABLE if not exists tbl_timestamp(ID INTEGER PRIMARY KEY, tsp REAL );'\n )\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES (0.0)')\n conn.commit()\n conn.close()\n first_run(self)\n\n\ndef first_run(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n current_time = time.time()\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES ({})'.format(\n current_time))\n conn.commit()\n conn.close()\n timer(self)\n\n\ndef timer(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1')\n recent = cur.fetchone()[0]\n theTime = time.ctime(recent)\n print(theTime)\n self.lr_var.set(theTime)\n conn.commit()\n conn.close()\n\n\n<code token>\n",
"<import token>\n\n\ndef create_db(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'CREATE TABLE if not exists tbl_timestamp(ID INTEGER PRIMARY KEY, tsp REAL );'\n )\n cur.execute('INSERT INTO tbl_timestamp (tsp) VALUES (0.0)')\n conn.commit()\n conn.close()\n first_run(self)\n\n\n<function token>\n\n\ndef timer(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1')\n recent = cur.fetchone()[0]\n theTime = time.ctime(recent)\n print(theTime)\n self.lr_var.set(theTime)\n conn.commit()\n conn.close()\n\n\n<code token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef timer(self):\n conn = sqlite3.connect('timestamp.db')\n with conn:\n cur = conn.cursor()\n cur.execute(\n 'SELECT tsp FROM tbl_timestamp ORDER BY tsp DESC LIMIT 1 OFFSET 1')\n recent = cur.fetchone()[0]\n theTime = time.ctime(recent)\n print(theTime)\n self.lr_var.set(theTime)\n conn.commit()\n conn.close()\n\n\n<code token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<code token>\n"
] | false |
98,781 |
b51de95171c8a3bd5f89586ffd39d75d16c04dad
|
"""
:Module: static_reportman.py
:Synopsis: Generate post-preproc, etc., QA reports of line for a given dataset
:Author: dohmatob elvis dopgima
ABIDE use-case example
----------------------
edohmato@is150118:~/CODE/FORKED/pypreprocess/reporting for j in \
$(ls /vaporific/edohmato/pypreprocess_runs/abide/); do echo;
echo "Generating QA for $j"; echo; python static_reportman.py \
/vaporific/edohmato/pypreprocess_runs/abide/$j "$j_*/infos_DARTEL.json" $j;\
done
"""
import sys
from pypreprocess.reporting.preproc_reporter import generate_dataset_preproc_report
import os
import glob
from optparse import OptionParser
# brag!
print "\r\n\t\t +++static-report-man+++\r\n"
# configure option parser
parser = OptionParser()
parser.add_option('--replace-in-path',
dest='replace_in_path',
default="",
help="""specify a token to replace in paths"""
)
parser.add_option('--dataset-id',
dest='dataset_id',
default="UNSPECIFIED!",
help="""specify id (i.e short description) of dataset"""
)
parser.add_option('--output_dir',
dest='output_dir',
default=None,
help="""specify output directory"""
)
parser.add_option('--subject-preproc-data-json-filename-wildcat',
dest='subject_preproc_data_json_filename_wildcat',
default="sub*/infos.json",
help="""specify filename wildcat for json files containing
subject preprocessed data"""
)
parser.add_option('--n-jobs',
dest='n_jobs',
default=1,
type=int,
help="""number of subprocesses to spawn (defaults to 1)"""
)
# parse args and opts
options, args = parser.parse_args()
if len(args) < 1:
print ("Error: Insufficient number of arguments\nUse the --help"
" option to get help")
sys.exit(1)
dataset_dir = args[0]
output_dir = options.output_dir if not options.output_dir is \
None else dataset_dir
subject_json_file_glob = os.path.join(
dataset_dir,
options.subject_preproc_data_json_filename_wildcat)
subject_preproc_data = glob.glob(subject_json_file_glob)
# sanitize
print (
"Globing subject json file: %s" % subject_json_file_glob)
if not subject_preproc_data:
raise Warning("No subject json file found!")
# generate reports proper
generate_dataset_preproc_report(
subject_preproc_data,
output_dir=output_dir,
dataset_id=options.dataset_id,
replace_in_path=options.replace_in_path.split(','),
n_jobs=options.n_jobs
)
|
[
"\"\"\"\n:Module: static_reportman.py\n:Synopsis: Generate post-preproc, etc., QA reports of line for a given dataset\n:Author: dohmatob elvis dopgima\n\nABIDE use-case example\n----------------------\nedohmato@is150118:~/CODE/FORKED/pypreprocess/reporting for j in \\\n$(ls /vaporific/edohmato/pypreprocess_runs/abide/); do echo;\necho \"Generating QA for $j\"; echo; python static_reportman.py \\\n/vaporific/edohmato/pypreprocess_runs/abide/$j \"$j_*/infos_DARTEL.json\" $j;\\\ndone\n\n\"\"\"\n\nimport sys\nfrom pypreprocess.reporting.preproc_reporter import generate_dataset_preproc_report\nimport os\nimport glob\nfrom optparse import OptionParser\n\n# brag!\nprint \"\\r\\n\\t\\t +++static-report-man+++\\r\\n\"\n\n# configure option parser\nparser = OptionParser()\nparser.add_option('--replace-in-path',\n dest='replace_in_path',\n default=\"\",\n help=\"\"\"specify a token to replace in paths\"\"\"\n )\nparser.add_option('--dataset-id',\n dest='dataset_id',\n default=\"UNSPECIFIED!\",\n help=\"\"\"specify id (i.e short description) of dataset\"\"\"\n )\nparser.add_option('--output_dir',\n dest='output_dir',\n default=None,\n help=\"\"\"specify output directory\"\"\"\n )\nparser.add_option('--subject-preproc-data-json-filename-wildcat',\n dest='subject_preproc_data_json_filename_wildcat',\n default=\"sub*/infos.json\",\n help=\"\"\"specify filename wildcat for json files containing\nsubject preprocessed data\"\"\"\n )\nparser.add_option('--n-jobs',\n dest='n_jobs',\n default=1,\n type=int,\n help=\"\"\"number of subprocesses to spawn (defaults to 1)\"\"\"\n )\n\n# parse args and opts\noptions, args = parser.parse_args()\n\nif len(args) < 1:\n print (\"Error: Insufficient number of arguments\\nUse the --help\"\n \" option to get help\")\n sys.exit(1)\n\ndataset_dir = args[0]\noutput_dir = options.output_dir if not options.output_dir is \\\n None else dataset_dir\n\nsubject_json_file_glob = os.path.join(\n dataset_dir,\n options.subject_preproc_data_json_filename_wildcat)\nsubject_preproc_data = glob.glob(subject_json_file_glob)\n\n# sanitize\nprint (\n \"Globing subject json file: %s\" % subject_json_file_glob)\nif not subject_preproc_data:\n raise Warning(\"No subject json file found!\")\n\n# generate reports proper\ngenerate_dataset_preproc_report(\n subject_preproc_data,\n output_dir=output_dir,\n dataset_id=options.dataset_id,\n replace_in_path=options.replace_in_path.split(','),\n n_jobs=options.n_jobs\n )\n"
] | true |
98,782 |
3c344c08fa341717c0f1aa87ba06980b2864b57e
|
# -*- coding: utf-8 -*-
# @File : random_show.py
# @Author: AaronJny
# @Date : 2019/10/29
# @Desc : 随机选择情况下的收益情况
import random
import numpy as np
from dataset import LottoDataSet
import utils
import settings
def get_one_random_sample():
"""
获取一种随机序列
:return:
"""
front_balls = list(range(settings.FRONT_VOCAB_SIZE))
back_balls = list(range(settings.BACK_VOCAB_SIZE))
return random.sample(front_balls, settings.FRONT_SIZE) + random.sample(back_balls, settings.BACK_SIZE)
def simulate(test_np_x, test_np_y):
# 获得的奖金总额
money_in = 0
# 买彩票花出去的钱总额
money_out = 0
# 共有多少组数据
samples_num = len(test_np_x['x1'])
# 对于每一组数据
for j in range(samples_num):
# 这一期的真实开奖结果
outputs = []
for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):
outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))
# 每一期彩票买五注
money_out += 10
for k in range(5):
balls = get_one_random_sample()
# 计算奖金
award = utils.lotto_calculate(outputs, balls)
money_in += award
print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in - money_out))
return money_in - money_out
dataset = LottoDataSet(train_data_rate=0.9)
# 随机买一百次，并记录每一次收入-支出的差值
results = []
for epoch in range(1, 101):
results.append(simulate(dataset.test_np_x, dataset.test_np_y))
# 去除最高的和最低的
results = sorted(results)[1:-1]
# 计算平均值
print('mean', sum(results) / len(results))
|
[
"# -*- coding: utf-8 -*-\n# @File : random_show.py\n# @Author: AaronJny\n# @Date : 2019/10/29\n# @Desc : 随机选择情况下的收益情况\nimport random\nimport numpy as np\nfrom dataset import LottoDataSet\nimport utils\nimport settings\n\n\ndef get_one_random_sample():\n \"\"\"\n 获取一种随机序列\n :return:\n \"\"\"\n front_balls = list(range(settings.FRONT_VOCAB_SIZE))\n back_balls = list(range(settings.BACK_VOCAB_SIZE))\n return random.sample(front_balls, settings.FRONT_SIZE) + random.sample(back_balls, settings.BACK_SIZE)\n\n\ndef simulate(test_np_x, test_np_y):\n # 获得的奖金总额\n money_in = 0\n # 买彩票花出去的钱总额\n money_out = 0\n # 共有多少组数据\n samples_num = len(test_np_x['x1'])\n # 对于每一组数据\n for j in range(samples_num):\n # 这一期的真实开奖结果\n outputs = []\n for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):\n outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))\n # 每一期彩票买五注\n money_out += 10\n for k in range(5):\n balls = get_one_random_sample()\n # 计算奖金\n award = utils.lotto_calculate(outputs, balls)\n money_in += award\n print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in - money_out))\n return money_in - money_out\n\n\ndataset = LottoDataSet(train_data_rate=0.9)\n# 随机买一百次，并记录每一次收入-支出的差值\nresults = []\nfor epoch in range(1, 101):\n results.append(simulate(dataset.test_np_x, dataset.test_np_y))\n# 去除最高的和最低的\nresults = sorted(results)[1:-1]\n# 计算平均值\nprint('mean', sum(results) / len(results))\n",
"import random\nimport numpy as np\nfrom dataset import LottoDataSet\nimport utils\nimport settings\n\n\ndef get_one_random_sample():\n \"\"\"\n 获取一种随机序列\n :return:\n \"\"\"\n front_balls = list(range(settings.FRONT_VOCAB_SIZE))\n back_balls = list(range(settings.BACK_VOCAB_SIZE))\n return random.sample(front_balls, settings.FRONT_SIZE) + random.sample(\n back_balls, settings.BACK_SIZE)\n\n\ndef simulate(test_np_x, test_np_y):\n money_in = 0\n money_out = 0\n samples_num = len(test_np_x['x1'])\n for j in range(samples_num):\n outputs = []\n for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):\n outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))\n money_out += 10\n for k in range(5):\n balls = get_one_random_sample()\n award = utils.lotto_calculate(outputs, balls)\n money_in += award\n print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in -\n money_out))\n return money_in - money_out\n\n\ndataset = LottoDataSet(train_data_rate=0.9)\nresults = []\nfor epoch in range(1, 101):\n results.append(simulate(dataset.test_np_x, dataset.test_np_y))\nresults = sorted(results)[1:-1]\nprint('mean', sum(results) / len(results))\n",
"<import token>\n\n\ndef get_one_random_sample():\n \"\"\"\n 获取一种随机序列\n :return:\n \"\"\"\n front_balls = list(range(settings.FRONT_VOCAB_SIZE))\n back_balls = list(range(settings.BACK_VOCAB_SIZE))\n return random.sample(front_balls, settings.FRONT_SIZE) + random.sample(\n back_balls, settings.BACK_SIZE)\n\n\ndef simulate(test_np_x, test_np_y):\n money_in = 0\n money_out = 0\n samples_num = len(test_np_x['x1'])\n for j in range(samples_num):\n outputs = []\n for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):\n outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))\n money_out += 10\n for k in range(5):\n balls = get_one_random_sample()\n award = utils.lotto_calculate(outputs, balls)\n money_in += award\n print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in -\n money_out))\n return money_in - money_out\n\n\ndataset = LottoDataSet(train_data_rate=0.9)\nresults = []\nfor epoch in range(1, 101):\n results.append(simulate(dataset.test_np_x, dataset.test_np_y))\nresults = sorted(results)[1:-1]\nprint('mean', sum(results) / len(results))\n",
"<import token>\n\n\ndef get_one_random_sample():\n \"\"\"\n 获取一种随机序列\n :return:\n \"\"\"\n front_balls = list(range(settings.FRONT_VOCAB_SIZE))\n back_balls = list(range(settings.BACK_VOCAB_SIZE))\n return random.sample(front_balls, settings.FRONT_SIZE) + random.sample(\n back_balls, settings.BACK_SIZE)\n\n\ndef simulate(test_np_x, test_np_y):\n money_in = 0\n money_out = 0\n samples_num = len(test_np_x['x1'])\n for j in range(samples_num):\n outputs = []\n for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):\n outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))\n money_out += 10\n for k in range(5):\n balls = get_one_random_sample()\n award = utils.lotto_calculate(outputs, balls)\n money_in += award\n print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in -\n money_out))\n return money_in - money_out\n\n\n<assignment token>\nfor epoch in range(1, 101):\n results.append(simulate(dataset.test_np_x, dataset.test_np_y))\n<assignment token>\nprint('mean', sum(results) / len(results))\n",
"<import token>\n\n\ndef get_one_random_sample():\n \"\"\"\n 获取一种随机序列\n :return:\n \"\"\"\n front_balls = list(range(settings.FRONT_VOCAB_SIZE))\n back_balls = list(range(settings.BACK_VOCAB_SIZE))\n return random.sample(front_balls, settings.FRONT_SIZE) + random.sample(\n back_balls, settings.BACK_SIZE)\n\n\ndef simulate(test_np_x, test_np_y):\n money_in = 0\n money_out = 0\n samples_num = len(test_np_x['x1'])\n for j in range(samples_num):\n outputs = []\n for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):\n outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))\n money_out += 10\n for k in range(5):\n balls = get_one_random_sample()\n award = utils.lotto_calculate(outputs, balls)\n money_in += award\n print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in -\n money_out))\n return money_in - money_out\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<import token>\n<function token>\n\n\ndef simulate(test_np_x, test_np_y):\n money_in = 0\n money_out = 0\n samples_num = len(test_np_x['x1'])\n for j in range(samples_num):\n outputs = []\n for k in range(settings.FRONT_SIZE + settings.BACK_SIZE):\n outputs.append(np.argmax(test_np_y['y{}'.format(k + 1)][j]))\n money_out += 10\n for k in range(5):\n balls = get_one_random_sample()\n award = utils.lotto_calculate(outputs, balls)\n money_in += award\n print('买彩票花费金钱共{}元，中奖金额共{}元，赚取{}元'.format(money_out, money_in, money_in -\n money_out))\n return money_in - money_out\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<import token>\n<function token>\n<function token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,783 |
547d109a18c766587ad7b951ef255c4c88a7c4e6
|
#! /usr/bin/env python
# Import necessary packages
import rospy
import rospkg
from std_srvs.srv import Empty, EmptyRequest # you import the service message python classes generated from Empty.srv.
# Initialise a ROS node with the name 'move_bb8_service_client'
rospy.init_node('move_bb8_service_client')
rospy.wait_for_service('/move_bb8_in_circle')
# Create the connection to the service
move_bb8_client = rospy.ServiceProxy('/move_bb8_in_circle', Empty)
move_bb8_object = EmptyRequest()
result = move_bb8_client(move_bb8_object)
print(result)
|
[
"#! /usr/bin/env python\n\n# Import necessary packages\nimport rospy\nimport rospkg\nfrom std_srvs.srv import Empty, EmptyRequest # you import the service message python classes generated from Empty.srv.\n\n# Initialise a ROS node with the name 'move_bb8_service_client'\nrospy.init_node('move_bb8_service_client')\nrospy.wait_for_service('/move_bb8_in_circle')\n\n# Create the connection to the service\nmove_bb8_client = rospy.ServiceProxy('/move_bb8_in_circle', Empty)\nmove_bb8_object = EmptyRequest()\nresult = move_bb8_client(move_bb8_object)\nprint(result)",
"import rospy\nimport rospkg\nfrom std_srvs.srv import Empty, EmptyRequest\nrospy.init_node('move_bb8_service_client')\nrospy.wait_for_service('/move_bb8_in_circle')\nmove_bb8_client = rospy.ServiceProxy('/move_bb8_in_circle', Empty)\nmove_bb8_object = EmptyRequest()\nresult = move_bb8_client(move_bb8_object)\nprint(result)\n",
"<import token>\nrospy.init_node('move_bb8_service_client')\nrospy.wait_for_service('/move_bb8_in_circle')\nmove_bb8_client = rospy.ServiceProxy('/move_bb8_in_circle', Empty)\nmove_bb8_object = EmptyRequest()\nresult = move_bb8_client(move_bb8_object)\nprint(result)\n",
"<import token>\nrospy.init_node('move_bb8_service_client')\nrospy.wait_for_service('/move_bb8_in_circle')\n<assignment token>\nprint(result)\n",
"<import token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,784 |
4a93fc19631f632863070059da5abc976adea3aa
|
"""
https://leetcode.com/problems/find-two-non-overlapping-sub-arrays-each-with-target-sum/
"""
class Solution:
def minSumOfLengths(self, arr: list[int], target: int) -> int:
start, currSum, minLen = 0, 0, float('inf')
preMin = [float('inf')] * len(arr)
for end, num in enumerate(arr):
currSum += num
while currSum > target:
currSum -= arr[start]
start += 1
if currSum == target:
currLen = end - start + 1
minLen = min(minLen, currLen + preMin[start - 1])
preMin[end] = min(currLen, preMin[end - 1])
else:
preMin[end] = preMin[end - 1]
if minLen == float('inf'):
return -1
return minLen
print(Solution().minSumOfLengths([3, 1, 1, 1, 5, 1, 2, 1],
3))
|
[
"\"\"\"\nhttps://leetcode.com/problems/find-two-non-overlapping-sub-arrays-each-with-target-sum/\n\"\"\"\n\n\nclass Solution:\n def minSumOfLengths(self, arr: list[int], target: int) -> int:\n start, currSum, minLen = 0, 0, float('inf')\n preMin = [float('inf')] * len(arr)\n for end, num in enumerate(arr):\n currSum += num\n while currSum > target:\n currSum -= arr[start]\n start += 1\n\n if currSum == target:\n currLen = end - start + 1\n minLen = min(minLen, currLen + preMin[start - 1])\n preMin[end] = min(currLen, preMin[end - 1])\n else:\n preMin[end] = preMin[end - 1]\n\n if minLen == float('inf'):\n return -1\n\n return minLen\n\n\nprint(Solution().minSumOfLengths([3, 1, 1, 1, 5, 1, 2, 1],\n 3))\n",
"<docstring token>\n\n\nclass Solution:\n\n def minSumOfLengths(self, arr: list[int], target: int) ->int:\n start, currSum, minLen = 0, 0, float('inf')\n preMin = [float('inf')] * len(arr)\n for end, num in enumerate(arr):\n currSum += num\n while currSum > target:\n currSum -= arr[start]\n start += 1\n if currSum == target:\n currLen = end - start + 1\n minLen = min(minLen, currLen + preMin[start - 1])\n preMin[end] = min(currLen, preMin[end - 1])\n else:\n preMin[end] = preMin[end - 1]\n if minLen == float('inf'):\n return -1\n return minLen\n\n\nprint(Solution().minSumOfLengths([3, 1, 1, 1, 5, 1, 2, 1], 3))\n",
"<docstring token>\n\n\nclass Solution:\n\n def minSumOfLengths(self, arr: list[int], target: int) ->int:\n start, currSum, minLen = 0, 0, float('inf')\n preMin = [float('inf')] * len(arr)\n for end, num in enumerate(arr):\n currSum += num\n while currSum > target:\n currSum -= arr[start]\n start += 1\n if currSum == target:\n currLen = end - start + 1\n minLen = min(minLen, currLen + preMin[start - 1])\n preMin[end] = min(currLen, preMin[end - 1])\n else:\n preMin[end] = preMin[end - 1]\n if minLen == float('inf'):\n return -1\n return minLen\n\n\n<code token>\n",
"<docstring token>\n\n\nclass Solution:\n <function token>\n\n\n<code token>\n",
"<docstring token>\n<class token>\n<code token>\n"
] | false |
98,785 |
c74bcb61b0b1898a8196506e96973d97bd3fa90e
|
from cesar_cipher import cesar_cipher
from unittest import TestCase
class TestCesarCipher(TestCase):
def test_empty_to_word_returns_empty(self):
self.assertEqual("", cesar_cipher("", 0), 'I expected a empty word')
def test_a_to_returns_b(self):
self.assertEqual("b", cesar_cipher("a", 1))
def test_a_to_returns_c(self):
self.assertEqual("c", cesar_cipher("a", 2))
def test_ab_with_shift_1_to_returns_bc(self):
self.assertEqual("bc", cesar_cipher("ab", 1))
|
[
"from cesar_cipher import cesar_cipher\nfrom unittest import TestCase\n\nclass TestCesarCipher(TestCase):\n\n def test_empty_to_word_returns_empty(self):\n self.assertEqual(\"\", cesar_cipher(\"\", 0), 'I expected a empty word')\n\n def test_a_to_returns_b(self):\n self.assertEqual(\"b\", cesar_cipher(\"a\", 1))\n\n def test_a_to_returns_c(self):\n self.assertEqual(\"c\", cesar_cipher(\"a\", 2))\n\n def test_ab_with_shift_1_to_returns_bc(self):\n self.assertEqual(\"bc\", cesar_cipher(\"ab\", 1))\n",
"from cesar_cipher import cesar_cipher\nfrom unittest import TestCase\n\n\nclass TestCesarCipher(TestCase):\n\n def test_empty_to_word_returns_empty(self):\n self.assertEqual('', cesar_cipher('', 0), 'I expected a empty word')\n\n def test_a_to_returns_b(self):\n self.assertEqual('b', cesar_cipher('a', 1))\n\n def test_a_to_returns_c(self):\n self.assertEqual('c', cesar_cipher('a', 2))\n\n def test_ab_with_shift_1_to_returns_bc(self):\n self.assertEqual('bc', cesar_cipher('ab', 1))\n",
"<import token>\n\n\nclass TestCesarCipher(TestCase):\n\n def test_empty_to_word_returns_empty(self):\n self.assertEqual('', cesar_cipher('', 0), 'I expected a empty word')\n\n def test_a_to_returns_b(self):\n self.assertEqual('b', cesar_cipher('a', 1))\n\n def test_a_to_returns_c(self):\n self.assertEqual('c', cesar_cipher('a', 2))\n\n def test_ab_with_shift_1_to_returns_bc(self):\n self.assertEqual('bc', cesar_cipher('ab', 1))\n",
"<import token>\n\n\nclass TestCesarCipher(TestCase):\n\n def test_empty_to_word_returns_empty(self):\n self.assertEqual('', cesar_cipher('', 0), 'I expected a empty word')\n\n def test_a_to_returns_b(self):\n self.assertEqual('b', cesar_cipher('a', 1))\n\n def test_a_to_returns_c(self):\n self.assertEqual('c', cesar_cipher('a', 2))\n <function token>\n",
"<import token>\n\n\nclass TestCesarCipher(TestCase):\n <function token>\n\n def test_a_to_returns_b(self):\n self.assertEqual('b', cesar_cipher('a', 1))\n\n def test_a_to_returns_c(self):\n self.assertEqual('c', cesar_cipher('a', 2))\n <function token>\n",
"<import token>\n\n\nclass TestCesarCipher(TestCase):\n <function token>\n\n def test_a_to_returns_b(self):\n self.assertEqual('b', cesar_cipher('a', 1))\n <function token>\n <function token>\n",
"<import token>\n\n\nclass TestCesarCipher(TestCase):\n <function token>\n <function token>\n <function token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,786 |
646aadfa676bbd4f476f22e101b027dea97030c1
|
import numpy as np
def recursive_dynamic_imp(n, val_array):
if val_array[n] != -1:
return val_array[n]
else:
val_array[n] = recursive_dynamic_imp(n-1,val_array)+\
recursive_dynamic_imp(n-2,val_array)
return val_array[n]
def recursive_dynamic(n):
val_array = np.full(n+1,-1, dtype=np.int64)
val_array[0] = 0
val_array[1] = 1
return recursive_dynamic_imp(n, val_array)
def iterative(n):
if n < 2:
return n
# initial values
fh = np.int64(1)
fl = np.int64(0)
for i in range(2,n+1):
# Save in temp location
temp = fh
# get new high value
fh = fh+fl
# save old value in low value
fl = temp
return fh
def build_power_matrix(A, n):
if n == 1:
return A
if n%2 == 0:
Anew = build_power_matrix(A,n//2)
return np.matmul(Anew,Anew)
else:
Aev = build_power_matrix(A,n//2)
return np.matmul(Aev,np.matmul(Aev,A))
def power_matrix(n):
if n == 0:
return 0
if n <= 2:
return 1
init_vec = np.array([[1],[1]], dtype=np.int64)
A = np.array([[1,1],[1,0]], dtype=np.int64)
A_power = build_power_matrix(A,n-2)
return np.matmul(A_power,init_vec)[0][0]
|
[
"import numpy as np\n\ndef recursive_dynamic_imp(n, val_array):\n if val_array[n] != -1:\n return val_array[n]\n else:\n val_array[n] = recursive_dynamic_imp(n-1,val_array)+\\\n recursive_dynamic_imp(n-2,val_array)\n return val_array[n]\n\ndef recursive_dynamic(n):\n val_array = np.full(n+1,-1, dtype=np.int64)\n val_array[0] = 0\n val_array[1] = 1\n return recursive_dynamic_imp(n, val_array)\n\ndef iterative(n):\n if n < 2:\n return n\n # initial values\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2,n+1):\n # Save in temp location\n temp = fh\n # get new high value\n fh = fh+fl\n # save old value in low value\n fl = temp\n return fh\n\ndef build_power_matrix(A, n):\n if n == 1:\n return A\n if n%2 == 0:\n Anew = build_power_matrix(A,n//2)\n return np.matmul(Anew,Anew)\n else:\n Aev = build_power_matrix(A,n//2)\n return np.matmul(Aev,np.matmul(Aev,A))\n\ndef power_matrix(n):\n if n == 0:\n return 0\n if n <= 2:\n return 1\n init_vec = np.array([[1],[1]], dtype=np.int64)\n A = np.array([[1,1],[1,0]], dtype=np.int64)\n A_power = build_power_matrix(A,n-2)\n return np.matmul(A_power,init_vec)[0][0]\n",
"import numpy as np\n\n\ndef recursive_dynamic_imp(n, val_array):\n if val_array[n] != -1:\n return val_array[n]\n else:\n val_array[n] = recursive_dynamic_imp(n - 1, val_array\n ) + recursive_dynamic_imp(n - 2, val_array)\n return val_array[n]\n\n\ndef recursive_dynamic(n):\n val_array = np.full(n + 1, -1, dtype=np.int64)\n val_array[0] = 0\n val_array[1] = 1\n return recursive_dynamic_imp(n, val_array)\n\n\ndef iterative(n):\n if n < 2:\n return n\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2, n + 1):\n temp = fh\n fh = fh + fl\n fl = temp\n return fh\n\n\ndef build_power_matrix(A, n):\n if n == 1:\n return A\n if n % 2 == 0:\n Anew = build_power_matrix(A, n // 2)\n return np.matmul(Anew, Anew)\n else:\n Aev = build_power_matrix(A, n // 2)\n return np.matmul(Aev, np.matmul(Aev, A))\n\n\ndef power_matrix(n):\n if n == 0:\n return 0\n if n <= 2:\n return 1\n init_vec = np.array([[1], [1]], dtype=np.int64)\n A = np.array([[1, 1], [1, 0]], dtype=np.int64)\n A_power = build_power_matrix(A, n - 2)\n return np.matmul(A_power, init_vec)[0][0]\n",
"<import token>\n\n\ndef recursive_dynamic_imp(n, val_array):\n if val_array[n] != -1:\n return val_array[n]\n else:\n val_array[n] = recursive_dynamic_imp(n - 1, val_array\n ) + recursive_dynamic_imp(n - 2, val_array)\n return val_array[n]\n\n\ndef recursive_dynamic(n):\n val_array = np.full(n + 1, -1, dtype=np.int64)\n val_array[0] = 0\n val_array[1] = 1\n return recursive_dynamic_imp(n, val_array)\n\n\ndef iterative(n):\n if n < 2:\n return n\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2, n + 1):\n temp = fh\n fh = fh + fl\n fl = temp\n return fh\n\n\ndef build_power_matrix(A, n):\n if n == 1:\n return A\n if n % 2 == 0:\n Anew = build_power_matrix(A, n // 2)\n return np.matmul(Anew, Anew)\n else:\n Aev = build_power_matrix(A, n // 2)\n return np.matmul(Aev, np.matmul(Aev, A))\n\n\ndef power_matrix(n):\n if n == 0:\n return 0\n if n <= 2:\n return 1\n init_vec = np.array([[1], [1]], dtype=np.int64)\n A = np.array([[1, 1], [1, 0]], dtype=np.int64)\n A_power = build_power_matrix(A, n - 2)\n return np.matmul(A_power, init_vec)[0][0]\n",
"<import token>\n<function token>\n\n\ndef recursive_dynamic(n):\n val_array = np.full(n + 1, -1, dtype=np.int64)\n val_array[0] = 0\n val_array[1] = 1\n return recursive_dynamic_imp(n, val_array)\n\n\ndef iterative(n):\n if n < 2:\n return n\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2, n + 1):\n temp = fh\n fh = fh + fl\n fl = temp\n return fh\n\n\ndef build_power_matrix(A, n):\n if n == 1:\n return A\n if n % 2 == 0:\n Anew = build_power_matrix(A, n // 2)\n return np.matmul(Anew, Anew)\n else:\n Aev = build_power_matrix(A, n // 2)\n return np.matmul(Aev, np.matmul(Aev, A))\n\n\ndef power_matrix(n):\n if n == 0:\n return 0\n if n <= 2:\n return 1\n init_vec = np.array([[1], [1]], dtype=np.int64)\n A = np.array([[1, 1], [1, 0]], dtype=np.int64)\n A_power = build_power_matrix(A, n - 2)\n return np.matmul(A_power, init_vec)[0][0]\n",
"<import token>\n<function token>\n\n\ndef recursive_dynamic(n):\n val_array = np.full(n + 1, -1, dtype=np.int64)\n val_array[0] = 0\n val_array[1] = 1\n return recursive_dynamic_imp(n, val_array)\n\n\ndef iterative(n):\n if n < 2:\n return n\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2, n + 1):\n temp = fh\n fh = fh + fl\n fl = temp\n return fh\n\n\ndef build_power_matrix(A, n):\n if n == 1:\n return A\n if n % 2 == 0:\n Anew = build_power_matrix(A, n // 2)\n return np.matmul(Anew, Anew)\n else:\n Aev = build_power_matrix(A, n // 2)\n return np.matmul(Aev, np.matmul(Aev, A))\n\n\n<function token>\n",
"<import token>\n<function token>\n\n\ndef recursive_dynamic(n):\n val_array = np.full(n + 1, -1, dtype=np.int64)\n val_array[0] = 0\n val_array[1] = 1\n return recursive_dynamic_imp(n, val_array)\n\n\ndef iterative(n):\n if n < 2:\n return n\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2, n + 1):\n temp = fh\n fh = fh + fl\n fl = temp\n return fh\n\n\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n\n\ndef iterative(n):\n if n < 2:\n return n\n fh = np.int64(1)\n fl = np.int64(0)\n for i in range(2, n + 1):\n temp = fh\n fh = fh + fl\n fl = temp\n return fh\n\n\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,787 |
41cf20148a1c403b0922ab41c93b4a2a09e70a02
|
"""
Copyright 2017 Neural Networks and Deep Learning lab, MIPT
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from deeppavlov.core.commands.utils import expand_path
from deeppavlov.core.common.log import get_logger
from abc import ABCMeta, abstractmethod
"""
:class:`deeppavlov.models.model.Serializable` is an abstract base class that expresses the interface
for all models that can serialize data to a path.
"""
log = get_logger(__name__)
class Serializable(metaclass=ABCMeta):
"""
:attr: `_ser_dir` is a name of a serialization dir, can be default or set in json config
:attr: `_ser_file` is a name of a serialization file (usually binary model file),
can be default or set in json config
:attr: `ser_path` is a path to model serialization dir or file (it depends on the model type).
It is always an empty string and is ignored if it is not set in json config.
"""
def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs):
if save_path:
self.save_path = expand_path(save_path)
self.save_path.parent.mkdir(parents=True, exist_ok=True)
else:
self.save_path = None
if load_path:
self.load_path = expand_path(load_path)
if mode != 'train' and self.save_path and self.load_path != self.save_path:
log.warning("Load path '{}' differs from save path '{}' in '{}' mode for {}."
.format(self.load_path, self.save_path, mode, self.__class__.__name__))
elif mode != 'train' and self.save_path:
self.load_path = self.save_path
log.warning("No load path is set for {} in '{}' mode. Using save path instead"
.format(self.__class__.__name__, mode))
else:
self.load_path = None
log.warning("No load path is set for {}!".format(self.__class__.__name__))
@abstractmethod
def save(self, *args, **kwargs):
pass
@abstractmethod
def load(self, *args, **kwargs):
pass
|
[
"\"\"\"\nCopyright 2017 Neural Networks and Deep Learning lab, MIPT\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\"\"\"\nfrom deeppavlov.core.commands.utils import expand_path\nfrom deeppavlov.core.common.log import get_logger\nfrom abc import ABCMeta, abstractmethod\n\n\"\"\"\n:class:`deeppavlov.models.model.Serializable` is an abstract base class that expresses the interface\nfor all models that can serialize data to a path.\n\"\"\"\n\nlog = get_logger(__name__)\n\n\nclass Serializable(metaclass=ABCMeta):\n \"\"\"\n :attr: `_ser_dir` is a name of a serialization dir, can be default or set in json config\n :attr: `_ser_file` is a name of a serialization file (usually binary model file),\n can be default or set in json config\n :attr: `ser_path` is a path to model serialization dir or file (it depends on the model type).\n It is always an empty string and is ignored if it is not set in json config.\n \"\"\"\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs):\n\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n\n if load_path:\n self.load_path = expand_path(load_path)\n if mode != 'train' and self.save_path and self.load_path != self.save_path:\n log.warning(\"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.__class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning(\"No load path is set for {}!\".format(self.__class__.__name__))\n\n @abstractmethod\n def save(self, *args, **kwargs):\n pass\n\n @abstractmethod\n def load(self, *args, **kwargs):\n pass\n",
"<docstring token>\nfrom deeppavlov.core.commands.utils import expand_path\nfrom deeppavlov.core.common.log import get_logger\nfrom abc import ABCMeta, abstractmethod\n<docstring token>\nlog = get_logger(__name__)\n\n\nclass Serializable(metaclass=ABCMeta):\n \"\"\"\n :attr: `_ser_dir` is a name of a serialization dir, can be default or set in json config\n :attr: `_ser_file` is a name of a serialization file (usually binary model file),\n can be default or set in json config\n :attr: `ser_path` is a path to model serialization dir or file (it depends on the model type).\n It is always an empty string and is ignored if it is not set in json config.\n \"\"\"\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs\n ):\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n if load_path:\n self.load_path = expand_path(load_path)\n if (mode != 'train' and self.save_path and self.load_path !=\n self.save_path):\n log.warning(\n \"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.\n __class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\n \"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning('No load path is set for {}!'.format(self.__class__\n .__name__))\n\n @abstractmethod\n def save(self, *args, **kwargs):\n pass\n\n @abstractmethod\n def load(self, *args, **kwargs):\n pass\n",
"<docstring token>\n<import token>\n<docstring token>\nlog = get_logger(__name__)\n\n\nclass Serializable(metaclass=ABCMeta):\n \"\"\"\n :attr: `_ser_dir` is a name of a serialization dir, can be default or set in json config\n :attr: `_ser_file` is a name of a serialization file (usually binary model file),\n can be default or set in json config\n :attr: `ser_path` is a path to model serialization dir or file (it depends on the model type).\n It is always an empty string and is ignored if it is not set in json config.\n \"\"\"\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs\n ):\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n if load_path:\n self.load_path = expand_path(load_path)\n if (mode != 'train' and self.save_path and self.load_path !=\n self.save_path):\n log.warning(\n \"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.\n __class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\n \"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning('No load path is set for {}!'.format(self.__class__\n .__name__))\n\n @abstractmethod\n def save(self, *args, **kwargs):\n pass\n\n @abstractmethod\n def load(self, *args, **kwargs):\n pass\n",
"<docstring token>\n<import token>\n<docstring token>\n<assignment token>\n\n\nclass Serializable(metaclass=ABCMeta):\n \"\"\"\n :attr: `_ser_dir` is a name of a serialization dir, can be default or set in json config\n :attr: `_ser_file` is a name of a serialization file (usually binary model file),\n can be default or set in json config\n :attr: `ser_path` is a path to model serialization dir or file (it depends on the model type).\n It is always an empty string and is ignored if it is not set in json config.\n \"\"\"\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs\n ):\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n if load_path:\n self.load_path = expand_path(load_path)\n if (mode != 'train' and self.save_path and self.load_path !=\n self.save_path):\n log.warning(\n \"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.\n __class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\n \"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning('No load path is set for {}!'.format(self.__class__\n .__name__))\n\n @abstractmethod\n def save(self, *args, **kwargs):\n pass\n\n @abstractmethod\n def load(self, *args, **kwargs):\n pass\n",
"<docstring token>\n<import token>\n<docstring token>\n<assignment token>\n\n\nclass Serializable(metaclass=ABCMeta):\n <docstring token>\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs\n ):\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n if load_path:\n self.load_path = expand_path(load_path)\n if (mode != 'train' and self.save_path and self.load_path !=\n self.save_path):\n log.warning(\n \"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.\n __class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\n \"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning('No load path is set for {}!'.format(self.__class__\n .__name__))\n\n @abstractmethod\n def save(self, *args, **kwargs):\n pass\n\n @abstractmethod\n def load(self, *args, **kwargs):\n pass\n",
"<docstring token>\n<import token>\n<docstring token>\n<assignment token>\n\n\nclass Serializable(metaclass=ABCMeta):\n <docstring token>\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs\n ):\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n if load_path:\n self.load_path = expand_path(load_path)\n if (mode != 'train' and self.save_path and self.load_path !=\n self.save_path):\n log.warning(\n \"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.\n __class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\n \"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning('No load path is set for {}!'.format(self.__class__\n .__name__))\n\n @abstractmethod\n def save(self, *args, **kwargs):\n pass\n <function token>\n",
"<docstring token>\n<import token>\n<docstring token>\n<assignment token>\n\n\nclass Serializable(metaclass=ABCMeta):\n <docstring token>\n\n def __init__(self, save_path, load_path=None, mode='infer', *args, **kwargs\n ):\n if save_path:\n self.save_path = expand_path(save_path)\n self.save_path.parent.mkdir(parents=True, exist_ok=True)\n else:\n self.save_path = None\n if load_path:\n self.load_path = expand_path(load_path)\n if (mode != 'train' and self.save_path and self.load_path !=\n self.save_path):\n log.warning(\n \"Load path '{}' differs from save path '{}' in '{}' mode for {}.\"\n .format(self.load_path, self.save_path, mode, self.\n __class__.__name__))\n elif mode != 'train' and self.save_path:\n self.load_path = self.save_path\n log.warning(\n \"No load path is set for {} in '{}' mode. Using save path instead\"\n .format(self.__class__.__name__, mode))\n else:\n self.load_path = None\n log.warning('No load path is set for {}!'.format(self.__class__\n .__name__))\n <function token>\n <function token>\n",
"<docstring token>\n<import token>\n<docstring token>\n<assignment token>\n\n\nclass Serializable(metaclass=ABCMeta):\n <docstring token>\n <function token>\n <function token>\n <function token>\n",
"<docstring token>\n<import token>\n<docstring token>\n<assignment token>\n<class token>\n"
] | false |
98,788 |
7ff3bb98d6b3644751ddb673158118b533744bf2
|
import pytest
from thumbor.engines import BaseEngine
@pytest.fixture
def config(config):
config.FILTERS = [
'thumbor_video_engine.filters.format',
'thumbor_video_engine.filters.still',
]
return config
@pytest.mark.gen_test
@pytest.mark.parametrize('pos', ['', '00:00:00'])
def test_still_filter(http_client, base_url, pos):
response = yield http_client.fetch(
"%s/unsafe/filters:still(%s)/hotdog.mp4" % (base_url, pos))
assert response.code == 200
assert response.headers.get('content-type') == 'image/jpeg'
assert BaseEngine.get_mimetype(response.body) == 'image/jpeg'
@pytest.mark.gen_test
@pytest.mark.parametrize('format,mime_type', [
('webp', 'image/webp'),
('jpg', 'image/jpeg'),
('zpg', 'image/jpeg'),
])
def test_still_filter_with_format(http_client, base_url, format, mime_type):
response = yield http_client.fetch(
"%s/unsafe/filters:still():format(%s)/hotdog.mp4" % (base_url, format))
assert response.code == 200
assert response.headers.get('content-type') == mime_type
assert BaseEngine.get_mimetype(response.body) == mime_type
|
[
"import pytest\n\nfrom thumbor.engines import BaseEngine\n\n\[email protected]\ndef config(config):\n config.FILTERS = [\n 'thumbor_video_engine.filters.format',\n 'thumbor_video_engine.filters.still',\n ]\n return config\n\n\[email protected]_test\[email protected]('pos', ['', '00:00:00'])\ndef test_still_filter(http_client, base_url, pos):\n response = yield http_client.fetch(\n \"%s/unsafe/filters:still(%s)/hotdog.mp4\" % (base_url, pos))\n\n assert response.code == 200\n assert response.headers.get('content-type') == 'image/jpeg'\n\n assert BaseEngine.get_mimetype(response.body) == 'image/jpeg'\n\n\[email protected]_test\[email protected]('format,mime_type', [\n ('webp', 'image/webp'),\n ('jpg', 'image/jpeg'),\n ('zpg', 'image/jpeg'),\n])\ndef test_still_filter_with_format(http_client, base_url, format, mime_type):\n response = yield http_client.fetch(\n \"%s/unsafe/filters:still():format(%s)/hotdog.mp4\" % (base_url, format))\n\n assert response.code == 200\n assert response.headers.get('content-type') == mime_type\n\n assert BaseEngine.get_mimetype(response.body) == mime_type\n",
"import pytest\nfrom thumbor.engines import BaseEngine\n\n\[email protected]\ndef config(config):\n config.FILTERS = ['thumbor_video_engine.filters.format',\n 'thumbor_video_engine.filters.still']\n return config\n\n\[email protected]_test\[email protected]('pos', ['', '00:00:00'])\ndef test_still_filter(http_client, base_url, pos):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still(%s)/hotdog.mp4' % (base_url, pos))\n assert response.code == 200\n assert response.headers.get('content-type') == 'image/jpeg'\n assert BaseEngine.get_mimetype(response.body) == 'image/jpeg'\n\n\[email protected]_test\[email protected]('format,mime_type', [('webp', 'image/webp'), (\n 'jpg', 'image/jpeg'), ('zpg', 'image/jpeg')])\ndef test_still_filter_with_format(http_client, base_url, format, mime_type):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still():format(%s)/hotdog.mp4' % (base_url, format))\n assert response.code == 200\n assert response.headers.get('content-type') == mime_type\n assert BaseEngine.get_mimetype(response.body) == mime_type\n",
"<import token>\n\n\[email protected]\ndef config(config):\n config.FILTERS = ['thumbor_video_engine.filters.format',\n 'thumbor_video_engine.filters.still']\n return config\n\n\[email protected]_test\[email protected]('pos', ['', '00:00:00'])\ndef test_still_filter(http_client, base_url, pos):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still(%s)/hotdog.mp4' % (base_url, pos))\n assert response.code == 200\n assert response.headers.get('content-type') == 'image/jpeg'\n assert BaseEngine.get_mimetype(response.body) == 'image/jpeg'\n\n\[email protected]_test\[email protected]('format,mime_type', [('webp', 'image/webp'), (\n 'jpg', 'image/jpeg'), ('zpg', 'image/jpeg')])\ndef test_still_filter_with_format(http_client, base_url, format, mime_type):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still():format(%s)/hotdog.mp4' % (base_url, format))\n assert response.code == 200\n assert response.headers.get('content-type') == mime_type\n assert BaseEngine.get_mimetype(response.body) == mime_type\n",
"<import token>\n<function token>\n\n\[email protected]_test\[email protected]('pos', ['', '00:00:00'])\ndef test_still_filter(http_client, base_url, pos):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still(%s)/hotdog.mp4' % (base_url, pos))\n assert response.code == 200\n assert response.headers.get('content-type') == 'image/jpeg'\n assert BaseEngine.get_mimetype(response.body) == 'image/jpeg'\n\n\[email protected]_test\[email protected]('format,mime_type', [('webp', 'image/webp'), (\n 'jpg', 'image/jpeg'), ('zpg', 'image/jpeg')])\ndef test_still_filter_with_format(http_client, base_url, format, mime_type):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still():format(%s)/hotdog.mp4' % (base_url, format))\n assert response.code == 200\n assert response.headers.get('content-type') == mime_type\n assert BaseEngine.get_mimetype(response.body) == mime_type\n",
"<import token>\n<function token>\n<function token>\n\n\[email protected]_test\[email protected]('format,mime_type', [('webp', 'image/webp'), (\n 'jpg', 'image/jpeg'), ('zpg', 'image/jpeg')])\ndef test_still_filter_with_format(http_client, base_url, format, mime_type):\n response = yield http_client.fetch(\n '%s/unsafe/filters:still():format(%s)/hotdog.mp4' % (base_url, format))\n assert response.code == 200\n assert response.headers.get('content-type') == mime_type\n assert BaseEngine.get_mimetype(response.body) == mime_type\n",
"<import token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,789 |
5abee515fda12699b86a2485a299e34a7d29435b
|
from libraries import *
ITEMS_PER_ARTICLES = 20
def feed(request):
articles = Article.objects.filter(aprobat = True).order_by('-data')[:10]
f = feedgenerator.Atom1Feed( title=u"Lifeit",link=u"http://lifeit.ro",description=u"Este un blog dedicat programari si tot ce tine de informatica.",
language=u"ro",author_name=u"Lifeit",feed_url=u"http://http://lifeit.ro/feed")
for i in articles:
f.add_item(title=i.title,link=u"http://lifeit.ro//views/article/?id="+str(i.id),pubdate=i.data,description=i.body)
return HttpResponse(f.writeString('UTF-8'),content_type="application/xhtml+xml")
def home (request):
menu = []
article = []
for i in Menu.objects.order_by('order'):
menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})
articles = Article.objects.order_by("-data")
for i in articles:
if i.data <= datetime.date.today() and i.aprobat:
article.append(i)
articles = article
paginator = Paginator(articles,ITEMS_PER_ARTICLES)
try:
page_number = int(request.GET['page'])
page_n = True
except (KeyError, ValueError):
page_number = 1
page_n = False
try:
page = paginator.page(page_number)
except InvalidPage:
page = paginator.page(1)
link = Links.objects.all()
return render_to_response("home.html",RequestContext(request,{'link':link,'menu':menu,"articles":page,'articles_paginator':paginator.num_pages > 1,'articles_page_n':page_number,'page_n':page_n,
'has_prev': page.has_previous(),'has_next': page.has_next(), 'page': page_number,'pages': paginator.num_pages,'next_page': page_number + 1,'prev_page': page_number - 1,"id":page_number}))
def email(request):
if request.method == "POST":
form = AddEmailForm(request.POST)
if form.is_valid():
try:
email = Newslatter.objects.create(email=form.cleaned_data['email'],cod=random.randrange(10001, 100000))
mesaj = "Linkul este pentru a finaliza abonarea http://" + request.META.get('HTTP_HOST') + "/abonare/" + email.email + "/" + str(email.cod)
send_mail("Abonare", mesaj , "[email protected]", [email.email])
return render_to_response("ajax/email.html",RequestContext(request,{'form':form,'mesaj':"Verifica adresa de email pentru a te putea abona"}))
except:
email = Newslatter.objects.get(email=form.cleaned_data['email'])
if not email.active:
mesaj = "Linkul este pentru a te abona http://" + request.META.get('HTTP_HOST') + "/abonare/" + email.email + "/" + str(email.cod)
send_mail("Abonare", mesaj , "[email protected]", [email.email])
return render_to_response("ajax/email.html",RequestContext(request,{'form':form,'mesaj':"Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email "}))
else:
return render_to_response("ajax/email.html",RequestContext(request,{'form':form,'mesaj':"Email este in baza de date si activat"}))
else:
form = AddEmailForm()
return render_to_response("ajax/email.html",RequestContext(request,{'form':form}))
def article(request):
if 'id' in request.GET:
menu = []
for i in Menu.objects.order_by('order'):
menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})
link = Links.objects.all()
id=request.GET["id"]
article = Article.objects.get(id=id)
return render_to_response("article.html",RequestContext(request,{'article':article,'menu':menu,'link':link}))
def menu(request,menu1,url):
if menu1 == "menu":
try:
menu2 = Menu.objects.get(url=url)
except:
return Http404()
if menu1 == "undermenu":
try:
menu2 = UnderMenu.objects.get(url=url)
except:
return Http404()
menu = []
for i in Menu.objects.order_by('order'):
menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})
link = Links.objects.all()
date = datetime.date.today()
return render_to_response("menu1.html",RequestContext(request,{'menu2':menu2,'data':date,'menu':menu,'menu1':menu1,'url':url,'link':link}))
def newslatter(request):
article = Article.objects.all()
articles = []
for i in article:
if i.data == datetime.date.today() and i.aprobat:
articles.append(i)
return render_to_response("newslatter.html",{'articles':articles,'ip':"http://lifeit.ro",'data':datetime.date.today()})
def user(request):
pass
def email_a(request,abonare,email,cod):
try:
email = Newslatter.objects.get(email=email,cod=cod)
menu = []
article = []
for i in Menu.objects.order_by('order'):
menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})
articles = Article.objects.order_by("-data")
for i in articles:
if i.data <= datetime.date.today() and i.aprobat:
article.append(i)
link = Links.objects.all()
if abonare == "abonare":
email.active = True
email.save()
return render_to_response("abonare.html",RequestContext(request,{'menu':menu,'articles':article,'link':link,'message':"Ai fost abonat cu succes"}))
if abonare == "dezabonare":
email.delete()
return render_to_response("abonare.html",RequestContext(request,{'menu':menu,'articles':article,'link':link,'message':"Ai fost dezabonat cu succes "}))
except:
return Http404()
def newslatter_a(request,data):
menu = []
article = []
for i in Menu.objects.order_by('order'):
menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})
articles = Article.objects.order_by("-data")
for i in articles:
if i.data <= datetime.date.today() and i.aprobat:
article.append(i)
link = Links.objects.all()
return render_to_response("newslatter_a.html",RequestContext(request,{'menu':menu,'articles':article,'link':link,'data':data}))
def robot(request):
return HttpResponse("");
|
[
"from libraries import *\n\nITEMS_PER_ARTICLES = 20\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat = True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed( title=u\"Lifeit\",link=u\"http://lifeit.ro\",description=u\"Este un blog dedicat programari si tot ce tine de informatica.\",\n language=u\"ro\",author_name=u\"Lifeit\",feed_url=u\"http://http://lifeit.ro/feed\")\n\n for i in articles:\n f.add_item(title=i.title,link=u\"http://lifeit.ro//views/article/?id=\"+str(i.id),pubdate=i.data,description=i.body)\n return HttpResponse(f.writeString('UTF-8'),content_type=\"application/xhtml+xml\")\n\n\ndef home (request):\n menu = []\n article = []\n\n for i in Menu.objects.order_by('order'):\n menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})\n\n articles = Article.objects.order_by(\"-data\")\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n\n articles = article\n\n paginator = Paginator(articles,ITEMS_PER_ARTICLES)\n try:\n page_number = int(request.GET['page'])\n page_n = True\n except (KeyError, ValueError):\n page_number = 1\n page_n = False\n try:\n page = paginator.page(page_number)\n except InvalidPage:\n page = paginator.page(1)\n\n link = Links.objects.all()\n\n return render_to_response(\"home.html\",RequestContext(request,{'link':link,'menu':menu,\"articles\":page,'articles_paginator':paginator.num_pages > 1,'articles_page_n':page_number,'page_n':page_n,\n 'has_prev': page.has_previous(),'has_next': page.has_next(), 'page': page_number,'pages': paginator.num_pages,'next_page': page_number + 1,'prev_page': page_number - 1,\"id\":page_number}))\n\n\ndef email(request):\n if request.method == \"POST\":\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data['email'],cod=random.randrange(10001, 100000))\n mesaj = \"Linkul este pentru a finaliza abonarea http://\" + request.META.get('HTTP_HOST') + \"/abonare/\" + email.email + \"/\" + str(email.cod) \n send_mail(\"Abonare\", mesaj , \"[email protected]\", [email.email]) \n return render_to_response(\"ajax/email.html\",RequestContext(request,{'form':form,'mesaj':\"Verifica adresa de email pentru a te putea abona\"}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email'])\n if not email.active:\n mesaj = \"Linkul este pentru a te abona http://\" + request.META.get('HTTP_HOST') + \"/abonare/\" + email.email + \"/\" + str(email.cod) \n send_mail(\"Abonare\", mesaj , \"[email protected]\", [email.email]) \n return render_to_response(\"ajax/email.html\",RequestContext(request,{'form':form,'mesaj':\"Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email \"}))\n else:\n return render_to_response(\"ajax/email.html\",RequestContext(request,{'form':form,'mesaj':\"Email este in baza de date si activat\"}))\n else:\n form = AddEmailForm()\n return render_to_response(\"ajax/email.html\",RequestContext(request,{'form':form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})\n\n link = Links.objects.all()\n\n id=request.GET[\"id\"]\n article = Article.objects.get(id=id)\n\n return render_to_response(\"article.html\",RequestContext(request,{'article':article,'menu':menu,'link':link}))\n\n\ndef menu(request,menu1,url):\n if menu1 == \"menu\":\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == \"undermenu\":\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})\n\n link = Links.objects.all()\n date = datetime.date.today()\n\n return render_to_response(\"menu1.html\",RequestContext(request,{'menu2':menu2,'data':date,'menu':menu,'menu1':menu1,'url':url,'link':link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response(\"newslatter.html\",{'articles':articles,'ip':\"http://lifeit.ro\",'data':datetime.date.today()})\n\n\ndef user(request):\n pass\n\n\ndef email_a(request,abonare,email,cod):\n try:\n email = Newslatter.objects.get(email=email,cod=cod)\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})\n\n articles = Article.objects.order_by(\"-data\")\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n\n if abonare == \"abonare\":\n email.active = True\n email.save()\n return render_to_response(\"abonare.html\",RequestContext(request,{'menu':menu,'articles':article,'link':link,'message':\"Ai fost abonat cu succes\"}))\n if abonare == \"dezabonare\":\n email.delete()\n return render_to_response(\"abonare.html\",RequestContext(request,{'menu':menu,'articles':article,'link':link,'message':\"Ai fost dezabonat cu succes \"}))\n except:\n return Http404()\n\ndef newslatter_a(request,data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu':i,'undermenu1':i.undermenu.order_by('order')})\n\n articles = Article.objects.order_by(\"-data\")\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n\n return render_to_response(\"newslatter_a.html\",RequestContext(request,{'menu':menu,'articles':article,'link':link,'data':data}))\n\n\ndef robot(request):\n return HttpResponse(\"\");\n",
"from libraries import *\nITEMS_PER_ARTICLES = 20\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat=True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed(title=u'Lifeit', link=u'http://lifeit.ro',\n description=\n u'Este un blog dedicat programari si tot ce tine de informatica.',\n language=u'ro', author_name=u'Lifeit', feed_url=\n u'http://http://lifeit.ro/feed')\n for i in articles:\n f.add_item(title=i.title, link=\n u'http://lifeit.ro//views/article/?id=' + str(i.id), pubdate=i.\n data, description=i.body)\n return HttpResponse(f.writeString('UTF-8'), content_type=\n 'application/xhtml+xml')\n\n\ndef home(request):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n articles = article\n paginator = Paginator(articles, ITEMS_PER_ARTICLES)\n try:\n page_number = int(request.GET['page'])\n page_n = True\n except (KeyError, ValueError):\n page_number = 1\n page_n = False\n try:\n page = paginator.page(page_number)\n except InvalidPage:\n page = paginator.page(1)\n link = Links.objects.all()\n return render_to_response('home.html', RequestContext(request, {'link':\n link, 'menu': menu, 'articles': page, 'articles_paginator': \n paginator.num_pages > 1, 'articles_page_n': page_number, 'page_n':\n page_n, 'has_prev': page.has_previous(), 'has_next': page.has_next(\n ), 'page': page_number, 'pages': paginator.num_pages, 'next_page': \n page_number + 1, 'prev_page': page_number - 1, 'id': page_number}))\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\ndef user(request):\n pass\n\n\ndef email_a(request, abonare, email, cod):\n try:\n email = Newslatter.objects.get(email=email, cod=cod)\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n if abonare == 'abonare':\n email.active = True\n email.save()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost abonat cu succes'}))\n if abonare == 'dezabonare':\n email.delete()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost dezabonat cu succes '}))\n except:\n return Http404()\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\nITEMS_PER_ARTICLES = 20\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat=True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed(title=u'Lifeit', link=u'http://lifeit.ro',\n description=\n u'Este un blog dedicat programari si tot ce tine de informatica.',\n language=u'ro', author_name=u'Lifeit', feed_url=\n u'http://http://lifeit.ro/feed')\n for i in articles:\n f.add_item(title=i.title, link=\n u'http://lifeit.ro//views/article/?id=' + str(i.id), pubdate=i.\n data, description=i.body)\n return HttpResponse(f.writeString('UTF-8'), content_type=\n 'application/xhtml+xml')\n\n\ndef home(request):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n articles = article\n paginator = Paginator(articles, ITEMS_PER_ARTICLES)\n try:\n page_number = int(request.GET['page'])\n page_n = True\n except (KeyError, ValueError):\n page_number = 1\n page_n = False\n try:\n page = paginator.page(page_number)\n except InvalidPage:\n page = paginator.page(1)\n link = Links.objects.all()\n return render_to_response('home.html', RequestContext(request, {'link':\n link, 'menu': menu, 'articles': page, 'articles_paginator': \n paginator.num_pages > 1, 'articles_page_n': page_number, 'page_n':\n page_n, 'has_prev': page.has_previous(), 'has_next': page.has_next(\n ), 'page': page_number, 'pages': paginator.num_pages, 'next_page': \n page_number + 1, 'prev_page': page_number - 1, 'id': page_number}))\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\ndef user(request):\n pass\n\n\ndef email_a(request, abonare, email, cod):\n try:\n email = Newslatter.objects.get(email=email, cod=cod)\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n if abonare == 'abonare':\n email.active = True\n email.save()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost abonat cu succes'}))\n if abonare == 'dezabonare':\n email.delete()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost dezabonat cu succes '}))\n except:\n return Http404()\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\n<assignment token>\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat=True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed(title=u'Lifeit', link=u'http://lifeit.ro',\n description=\n u'Este un blog dedicat programari si tot ce tine de informatica.',\n language=u'ro', author_name=u'Lifeit', feed_url=\n u'http://http://lifeit.ro/feed')\n for i in articles:\n f.add_item(title=i.title, link=\n u'http://lifeit.ro//views/article/?id=' + str(i.id), pubdate=i.\n data, description=i.body)\n return HttpResponse(f.writeString('UTF-8'), content_type=\n 'application/xhtml+xml')\n\n\ndef home(request):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n articles = article\n paginator = Paginator(articles, ITEMS_PER_ARTICLES)\n try:\n page_number = int(request.GET['page'])\n page_n = True\n except (KeyError, ValueError):\n page_number = 1\n page_n = False\n try:\n page = paginator.page(page_number)\n except InvalidPage:\n page = paginator.page(1)\n link = Links.objects.all()\n return render_to_response('home.html', RequestContext(request, {'link':\n link, 'menu': menu, 'articles': page, 'articles_paginator': \n paginator.num_pages > 1, 'articles_page_n': page_number, 'page_n':\n page_n, 'has_prev': page.has_previous(), 'has_next': page.has_next(\n ), 'page': page_number, 'pages': paginator.num_pages, 'next_page': \n page_number + 1, 'prev_page': page_number - 1, 'id': page_number}))\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\ndef user(request):\n pass\n\n\ndef email_a(request, abonare, email, cod):\n try:\n email = Newslatter.objects.get(email=email, cod=cod)\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n if abonare == 'abonare':\n email.active = True\n email.save()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost abonat cu succes'}))\n if abonare == 'dezabonare':\n email.delete()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost dezabonat cu succes '}))\n except:\n return Http404()\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\n<assignment token>\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat=True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed(title=u'Lifeit', link=u'http://lifeit.ro',\n description=\n u'Este un blog dedicat programari si tot ce tine de informatica.',\n language=u'ro', author_name=u'Lifeit', feed_url=\n u'http://http://lifeit.ro/feed')\n for i in articles:\n f.add_item(title=i.title, link=\n u'http://lifeit.ro//views/article/?id=' + str(i.id), pubdate=i.\n data, description=i.body)\n return HttpResponse(f.writeString('UTF-8'), content_type=\n 'application/xhtml+xml')\n\n\ndef home(request):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n articles = article\n paginator = Paginator(articles, ITEMS_PER_ARTICLES)\n try:\n page_number = int(request.GET['page'])\n page_n = True\n except (KeyError, ValueError):\n page_number = 1\n page_n = False\n try:\n page = paginator.page(page_number)\n except InvalidPage:\n page = paginator.page(1)\n link = Links.objects.all()\n return render_to_response('home.html', RequestContext(request, {'link':\n link, 'menu': menu, 'articles': page, 'articles_paginator': \n paginator.num_pages > 1, 'articles_page_n': page_number, 'page_n':\n page_n, 'has_prev': page.has_previous(), 'has_next': page.has_next(\n ), 'page': page_number, 'pages': paginator.num_pages, 'next_page': \n page_number + 1, 'prev_page': page_number - 1, 'id': page_number}))\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\n<function token>\n\n\ndef email_a(request, abonare, email, cod):\n try:\n email = Newslatter.objects.get(email=email, cod=cod)\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n if abonare == 'abonare':\n email.active = True\n email.save()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost abonat cu succes'}))\n if abonare == 'dezabonare':\n email.delete()\n return render_to_response('abonare.html', RequestContext(\n request, {'menu': menu, 'articles': article, 'link': link,\n 'message': 'Ai fost dezabonat cu succes '}))\n except:\n return Http404()\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\n<assignment token>\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat=True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed(title=u'Lifeit', link=u'http://lifeit.ro',\n description=\n u'Este un blog dedicat programari si tot ce tine de informatica.',\n language=u'ro', author_name=u'Lifeit', feed_url=\n u'http://http://lifeit.ro/feed')\n for i in articles:\n f.add_item(title=i.title, link=\n u'http://lifeit.ro//views/article/?id=' + str(i.id), pubdate=i.\n data, description=i.body)\n return HttpResponse(f.writeString('UTF-8'), content_type=\n 'application/xhtml+xml')\n\n\ndef home(request):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n articles = article\n paginator = Paginator(articles, ITEMS_PER_ARTICLES)\n try:\n page_number = int(request.GET['page'])\n page_n = True\n except (KeyError, ValueError):\n page_number = 1\n page_n = False\n try:\n page = paginator.page(page_number)\n except InvalidPage:\n page = paginator.page(1)\n link = Links.objects.all()\n return render_to_response('home.html', RequestContext(request, {'link':\n link, 'menu': menu, 'articles': page, 'articles_paginator': \n paginator.num_pages > 1, 'articles_page_n': page_number, 'page_n':\n page_n, 'has_prev': page.has_previous(), 'has_next': page.has_next(\n ), 'page': page_number, 'pages': paginator.num_pages, 'next_page': \n page_number + 1, 'prev_page': page_number - 1, 'id': page_number}))\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\n<function token>\n<function token>\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\n<assignment token>\n\n\ndef feed(request):\n articles = Article.objects.filter(aprobat=True).order_by('-data')[:10]\n f = feedgenerator.Atom1Feed(title=u'Lifeit', link=u'http://lifeit.ro',\n description=\n u'Este un blog dedicat programari si tot ce tine de informatica.',\n language=u'ro', author_name=u'Lifeit', feed_url=\n u'http://http://lifeit.ro/feed')\n for i in articles:\n f.add_item(title=i.title, link=\n u'http://lifeit.ro//views/article/?id=' + str(i.id), pubdate=i.\n data, description=i.body)\n return HttpResponse(f.writeString('UTF-8'), content_type=\n 'application/xhtml+xml')\n\n\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\n<function token>\n<function token>\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\n<function token>\n<function token>\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\ndef robot(request):\n return HttpResponse('')\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\ndef newslatter(request):\n article = Article.objects.all()\n articles = []\n for i in article:\n if i.data == datetime.date.today() and i.aprobat:\n articles.append(i)\n return render_to_response('newslatter.html', {'articles': articles,\n 'ip': 'http://lifeit.ro', 'data': datetime.date.today()})\n\n\n<function token>\n<function token>\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\n<function token>\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\ndef menu(request, menu1, url):\n if menu1 == 'menu':\n try:\n menu2 = Menu.objects.get(url=url)\n except:\n return Http404()\n if menu1 == 'undermenu':\n try:\n menu2 = UnderMenu.objects.get(url=url)\n except:\n return Http404()\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n link = Links.objects.all()\n date = datetime.date.today()\n return render_to_response('menu1.html', RequestContext(request, {\n 'menu2': menu2, 'data': date, 'menu': menu, 'menu1': menu1, 'url':\n url, 'link': link}))\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\n<function token>\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n\n\ndef newslatter_a(request, data):\n menu = []\n article = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by('order')})\n articles = Article.objects.order_by('-data')\n for i in articles:\n if i.data <= datetime.date.today() and i.aprobat:\n article.append(i)\n link = Links.objects.all()\n return render_to_response('newslatter_a.html', RequestContext(request,\n {'menu': menu, 'articles': article, 'link': link, 'data': data}))\n\n\n<function token>\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\ndef article(request):\n if 'id' in request.GET:\n menu = []\n for i in Menu.objects.order_by('order'):\n menu.append({'menu': i, 'undermenu1': i.undermenu.order_by(\n 'order')})\n link = Links.objects.all()\n id = request.GET['id']\n article = Article.objects.get(id=id)\n return render_to_response('article.html', RequestContext(request, {\n 'article': article, 'menu': menu, 'link': link}))\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n\n\ndef email(request):\n if request.method == 'POST':\n form = AddEmailForm(request.POST)\n if form.is_valid():\n try:\n email = Newslatter.objects.create(email=form.cleaned_data[\n 'email'], cod=random.randrange(10001, 100000))\n mesaj = ('Linkul este pentru a finaliza abonarea http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email.\n email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [email.\n email])\n return render_to_response('ajax/email.html', RequestContext\n (request, {'form': form, 'mesaj':\n 'Verifica adresa de email pentru a te putea abona'}))\n except:\n email = Newslatter.objects.get(email=form.cleaned_data['email']\n )\n if not email.active:\n mesaj = ('Linkul este pentru a te abona http://' +\n request.META.get('HTTP_HOST') + '/abonare/' + email\n .email + '/' + str(email.cod))\n send_mail('Abonare', mesaj, '[email protected]', [\n email.email])\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email mai este in baza de date dar nu a fost activat asa ca se trimite un nou email '\n }))\n else:\n return render_to_response('ajax/email.html',\n RequestContext(request, {'form': form, 'mesaj':\n 'Email este in baza de date si activat'}))\n else:\n form = AddEmailForm()\n return render_to_response('ajax/email.html', RequestContext(request, {\n 'form': form}))\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<assignment token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,790 |
356fb25eabbcb09ba89b05a61c699b27b2140227
|
#-*- coding: utf-8 -*-
#
# example_site/home/views.py
#
import logging
from django.views.generic import TemplateView
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from django.contrib.auth import REDIRECT_FIELD_NAME
from django.urls import reverse
log = logging.getLogger('example.home.views')
#
# Home
#
class HomePageView(TemplateView):
template_name = "home/home.html"
redirect_field_name = REDIRECT_FIELD_NAME
def dispatch(self, *args, **kwargs):
# Either way works, with or with out the reverse function.
#kwargs[self.redirect_field_name] = reverse('home-page')
kwargs[self.redirect_field_name] = 'home-page'
return super(HomePageView, self).dispatch(*args, **kwargs)
home_page_view = HomePageView.as_view()
|
[
"#-*- coding: utf-8 -*-\n#\n# example_site/home/views.py\n#\n\nimport logging\n\nfrom django.views.generic import TemplateView\nfrom django.contrib.auth.decorators import login_required\nfrom django.utils.decorators import method_decorator\nfrom django.contrib.auth import REDIRECT_FIELD_NAME\nfrom django.urls import reverse\n\nlog = logging.getLogger('example.home.views')\n\n\n#\n# Home\n#\nclass HomePageView(TemplateView):\n template_name = \"home/home.html\"\n redirect_field_name = REDIRECT_FIELD_NAME\n\n def dispatch(self, *args, **kwargs):\n # Either way works, with or with out the reverse function.\n #kwargs[self.redirect_field_name] = reverse('home-page')\n kwargs[self.redirect_field_name] = 'home-page'\n return super(HomePageView, self).dispatch(*args, **kwargs)\n\nhome_page_view = HomePageView.as_view()\n",
"import logging\nfrom django.views.generic import TemplateView\nfrom django.contrib.auth.decorators import login_required\nfrom django.utils.decorators import method_decorator\nfrom django.contrib.auth import REDIRECT_FIELD_NAME\nfrom django.urls import reverse\nlog = logging.getLogger('example.home.views')\n\n\nclass HomePageView(TemplateView):\n template_name = 'home/home.html'\n redirect_field_name = REDIRECT_FIELD_NAME\n\n def dispatch(self, *args, **kwargs):\n kwargs[self.redirect_field_name] = 'home-page'\n return super(HomePageView, self).dispatch(*args, **kwargs)\n\n\nhome_page_view = HomePageView.as_view()\n",
"<import token>\nlog = logging.getLogger('example.home.views')\n\n\nclass HomePageView(TemplateView):\n template_name = 'home/home.html'\n redirect_field_name = REDIRECT_FIELD_NAME\n\n def dispatch(self, *args, **kwargs):\n kwargs[self.redirect_field_name] = 'home-page'\n return super(HomePageView, self).dispatch(*args, **kwargs)\n\n\nhome_page_view = HomePageView.as_view()\n",
"<import token>\n<assignment token>\n\n\nclass HomePageView(TemplateView):\n template_name = 'home/home.html'\n redirect_field_name = REDIRECT_FIELD_NAME\n\n def dispatch(self, *args, **kwargs):\n kwargs[self.redirect_field_name] = 'home-page'\n return super(HomePageView, self).dispatch(*args, **kwargs)\n\n\n<assignment token>\n",
"<import token>\n<assignment token>\n\n\nclass HomePageView(TemplateView):\n <assignment token>\n <assignment token>\n\n def dispatch(self, *args, **kwargs):\n kwargs[self.redirect_field_name] = 'home-page'\n return super(HomePageView, self).dispatch(*args, **kwargs)\n\n\n<assignment token>\n",
"<import token>\n<assignment token>\n\n\nclass HomePageView(TemplateView):\n <assignment token>\n <assignment token>\n <function token>\n\n\n<assignment token>\n",
"<import token>\n<assignment token>\n<class token>\n<assignment token>\n"
] | false |
98,791 |
a127306ed8d303416f235c4f1a8dc462592e3f88
|
number = int(input(f'Ingresar un numero para saber si es par o impar '))
if number % 2 == 0:
print(f'El numero {number} es par')
else:
print(f'El numero {number} es impar')
# operador modulo % es el resto de la division si un numero es divisible por 2 entonces el resto es 0
|
[
"number = int(input(f'Ingresar un numero para saber si es par o impar '))\nif number % 2 == 0:\n print(f'El numero {number} es par')\nelse:\n print(f'El numero {number} es impar')\n\n # operador modulo % es el resto de la division si un numero es divisible por 2 entonces el resto es 0",
"number = int(input(f'Ingresar un numero para saber si es par o impar '))\nif number % 2 == 0:\n print(f'El numero {number} es par')\nelse:\n print(f'El numero {number} es impar')\n",
"<assignment token>\nif number % 2 == 0:\n print(f'El numero {number} es par')\nelse:\n print(f'El numero {number} es impar')\n",
"<assignment token>\n<code token>\n"
] | false |
98,792 |
9a8f91e5c359d9e7cda3582e816e2cdef6dce6df
|
Pir = input("Você possui irmãos(Sim ou não)\n:")
if(Pir=="Sim")or(Pir == "sim"):
int(input("Quantos irmãos você tem?\n:"))
print("Ok, até mais!")
elif(Pir == "Não")or(Pir == "não"):
gostaria = input("Gostaria de ter?\n:")
if(gostaria =="Sim")or(gostaria == "sim" ):
print("Reveja suas ideias...")
else:
print("Ok.")
|
[
"Pir = input(\"Você possui irmãos(Sim ou não)\\n:\")\nif(Pir==\"Sim\")or(Pir == \"sim\"):\n int(input(\"Quantos irmãos você tem?\\n:\"))\n print(\"Ok, até mais!\")\n\nelif(Pir == \"Não\")or(Pir == \"não\"):\n gostaria = input(\"Gostaria de ter?\\n:\")\n if(gostaria ==\"Sim\")or(gostaria == \"sim\" ):\n print(\"Reveja suas ideias...\")\n else:\n print(\"Ok.\")",
"Pir = input(\"\"\"Você possui irmãos(Sim ou não)\n:\"\"\")\nif Pir == 'Sim' or Pir == 'sim':\n int(input('Quantos irmãos você tem?\\n:'))\n print('Ok, até mais!')\nelif Pir == 'Não' or Pir == 'não':\n gostaria = input('Gostaria de ter?\\n:')\n if gostaria == 'Sim' or gostaria == 'sim':\n print('Reveja suas ideias...')\n else:\n print('Ok.')\n",
"<assignment token>\nif Pir == 'Sim' or Pir == 'sim':\n int(input('Quantos irmãos você tem?\\n:'))\n print('Ok, até mais!')\nelif Pir == 'Não' or Pir == 'não':\n gostaria = input('Gostaria de ter?\\n:')\n if gostaria == 'Sim' or gostaria == 'sim':\n print('Reveja suas ideias...')\n else:\n print('Ok.')\n",
"<assignment token>\n<code token>\n"
] | false |
98,793 |
38b49b24db9d2ef53adb7c0233f5781aec6fb60d
|
# Primeiro crie 3 listas
'''
* Uma lista que contem 5 frutas
* Uma lista que contem 5 cores
* Uma lista que contem 5 linguagens de programação
'''
from mailbox import linesep
import os
frutas = ['Fruta1', 'Fruta2', 'Fruta3', 'Fruta4', 'Fruta5', ]
cores = ['Cor1', 'Cor2', 'Cor3', 'Cor4', 'Cor5']
linguagens = ['Python', 'C#', 'Javascript', 'Java', 'PHP']
os.chdir('Dev_Aprender\\08_Automacao\\docs')
""" #! Desafio 1 - Crie um novo arquivo chamado frutas.txt e insira dentro dele todos as 5 frutas que estão na lista de frutas
with open ('frutas.txt','a',newline='\n') as arquivo:
for f in frutas:
arquivo.write(f + os.linesep)
#! Desafio 2 - Imprima na tela todas as linhas que estao dentro do arquivo frutas.txt
with open('frutas.txt','r') as arquivo:
for f in arquivo:
print(f) """
#! Desafio 3 - Sem apagar os dados que já estão dentro de frutas.txt, adicione todas as cores que estão dentro da sua lista de cores ao arquivos frutas.txt
with open('frutas.txt','a',newline='') as arquivo:
for f in cores:
arquivo.write(f + os.linesep)
#! Desafio 4 - Crie um novo arquivo chamado 'Top 5 Linguagens.txt' e popule o arquivo, de forma com que cada linguagem ocupe apenas uma linha.
#! BONUS - Como você poderia criar vários arquivos vazios, usando um laço for?
arquivos = ['musica.mp3','anotacoes.txt','requirements.py']
for a in arquivos:
with open[a,'w']:
pass
|
[
"# Primeiro crie 3 listas\n'''\n * Uma lista que contem 5 frutas\n * Uma lista que contem 5 cores\n * Uma lista que contem 5 linguagens de programação\n'''\nfrom mailbox import linesep\nimport os\nfrutas = ['Fruta1', 'Fruta2', 'Fruta3', 'Fruta4', 'Fruta5', ]\ncores = ['Cor1', 'Cor2', 'Cor3', 'Cor4', 'Cor5']\nlinguagens = ['Python', 'C#', 'Javascript', 'Java', 'PHP']\nos.chdir('Dev_Aprender\\\\08_Automacao\\\\docs')\n\n\"\"\" #! Desafio 1 - Crie um novo arquivo chamado frutas.txt e insira dentro dele todos as 5 frutas que estão na lista de frutas\nwith open ('frutas.txt','a',newline='\\n') as arquivo:\n for f in frutas:\n arquivo.write(f + os.linesep)\n\n#! Desafio 2 - Imprima na tela todas as linhas que estao dentro do arquivo frutas.txt\nwith open('frutas.txt','r') as arquivo:\n for f in arquivo:\n print(f) \"\"\"\n#! Desafio 3 - Sem apagar os dados que já estão dentro de frutas.txt, adicione todas as cores que estão dentro da sua lista de cores ao arquivos frutas.txt\nwith open('frutas.txt','a',newline='') as arquivo:\n for f in cores:\n arquivo.write(f + os.linesep)\n#! Desafio 4 - Crie um novo arquivo chamado 'Top 5 Linguagens.txt' e popule o arquivo, de forma com que cada linguagem ocupe apenas uma linha.\n\n#! BONUS - Como você poderia criar vários arquivos vazios, usando um laço for?\narquivos = ['musica.mp3','anotacoes.txt','requirements.py']\n\nfor a in arquivos:\n with open[a,'w']:\n pass",
"<docstring token>\nfrom mailbox import linesep\nimport os\nfrutas = ['Fruta1', 'Fruta2', 'Fruta3', 'Fruta4', 'Fruta5']\ncores = ['Cor1', 'Cor2', 'Cor3', 'Cor4', 'Cor5']\nlinguagens = ['Python', 'C#', 'Javascript', 'Java', 'PHP']\nos.chdir('Dev_Aprender\\\\08_Automacao\\\\docs')\n<docstring token>\nwith open('frutas.txt', 'a', newline='') as arquivo:\n for f in cores:\n arquivo.write(f + os.linesep)\narquivos = ['musica.mp3', 'anotacoes.txt', 'requirements.py']\nfor a in arquivos:\n with open[a, 'w']:\n pass\n",
"<docstring token>\n<import token>\nfrutas = ['Fruta1', 'Fruta2', 'Fruta3', 'Fruta4', 'Fruta5']\ncores = ['Cor1', 'Cor2', 'Cor3', 'Cor4', 'Cor5']\nlinguagens = ['Python', 'C#', 'Javascript', 'Java', 'PHP']\nos.chdir('Dev_Aprender\\\\08_Automacao\\\\docs')\n<docstring token>\nwith open('frutas.txt', 'a', newline='') as arquivo:\n for f in cores:\n arquivo.write(f + os.linesep)\narquivos = ['musica.mp3', 'anotacoes.txt', 'requirements.py']\nfor a in arquivos:\n with open[a, 'w']:\n pass\n",
"<docstring token>\n<import token>\n<assignment token>\nos.chdir('Dev_Aprender\\\\08_Automacao\\\\docs')\n<docstring token>\nwith open('frutas.txt', 'a', newline='') as arquivo:\n for f in cores:\n arquivo.write(f + os.linesep)\n<assignment token>\nfor a in arquivos:\n with open[a, 'w']:\n pass\n",
"<docstring token>\n<import token>\n<assignment token>\n<code token>\n<docstring token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,794 |
4a1ea4675dc26db05fac2ac9cb878bdd57f8de67
|
#!/usr/bin/python
import socket
import sys
import os
includeos_src = os.environ['INCLUDEOS_SRC']
sys.path.insert(0,includeos_src + "/test")
import vmrunner
# Usage: python test.py $GUEST_IP $HOST_IP
GUEST = '10.0.0.44' if (len(sys.argv) < 2) else sys.argv[1]
HOST = '10.0.0.1' if (len(sys.argv) < 3) else sys.argv[2]
def TCP_test():
def connect(port):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_address = (GUEST, port)
print >>sys.stderr, 'connecting to %s port %s' % server_address
sock.connect(server_address)
try:
while True:
data = sock.recv(1024)
#print >>sys.stderr, '%s' % data
if data:
sock.sendall(data);
else:
break
finally:
print >>sys.stderr, 'closing socket'
sock.close()
return
connect(8081)
connect(8082)
connect(8083)
connect(8084)
def listen(port):
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server_address = (HOST, port)
print >>sys.stderr, 'starting up on %s port %s' % server_address
sock.bind(server_address)
sock.listen(1)
while True:
connection, client_address = sock.accept()
try:
print >>sys.stderr, 'connection from', client_address
while True:
data = connection.recv(1024)
if data:
print >>sys.stderr, 'received data, sending data back to the client'
connection.sendall(data)
print >>sys.stderr, 'close connection to client'
connection.close()
else:
print >>sys.stderr, 'no more data from', client_address
break
finally:
connection.close()
break
sock.close()
return
listen(8085)
# Get an auto-created VM from the vmrunner
vm = vmrunner.vms[0]
# Add custom event-handler
vm.on_output("IncludeOS TCP test", TCP_test)
# Boot the VM, taking a timeout as parameter
vm.make().boot(80)
|
[
"#!/usr/bin/python\n\nimport socket\nimport sys\nimport os\n\nincludeos_src = os.environ['INCLUDEOS_SRC']\nsys.path.insert(0,includeos_src + \"/test\")\n\nimport vmrunner\n\n# Usage: python test.py $GUEST_IP $HOST_IP\nGUEST = '10.0.0.44' if (len(sys.argv) < 2) else sys.argv[1]\nHOST = '10.0.0.1' if (len(sys.argv) < 3) else sys.argv[2]\n\ndef TCP_test():\n def connect(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n server_address = (GUEST, port)\n print >>sys.stderr, 'connecting to %s port %s' % server_address\n sock.connect(server_address)\n\n try:\n while True:\n data = sock.recv(1024)\n #print >>sys.stderr, '%s' % data\n if data:\n sock.sendall(data);\n else:\n break\n finally:\n print >>sys.stderr, 'closing socket'\n sock.close()\n return\n\n connect(8081)\n connect(8082)\n connect(8083)\n connect(8084)\n\n def listen(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\n server_address = (HOST, port)\n print >>sys.stderr, 'starting up on %s port %s' % server_address\n sock.bind(server_address)\n sock.listen(1)\n\n while True:\n connection, client_address = sock.accept()\n try:\n print >>sys.stderr, 'connection from', client_address\n while True:\n data = connection.recv(1024)\n if data:\n print >>sys.stderr, 'received data, sending data back to the client'\n connection.sendall(data)\n print >>sys.stderr, 'close connection to client'\n connection.close()\n else:\n print >>sys.stderr, 'no more data from', client_address\n break\n\n finally:\n connection.close()\n break\n sock.close()\n return\n\n listen(8085)\n\n# Get an auto-created VM from the vmrunner\nvm = vmrunner.vms[0]\n\n# Add custom event-handler\nvm.on_output(\"IncludeOS TCP test\", TCP_test)\n\n# Boot the VM, taking a timeout as parameter\nvm.make().boot(80)\n",
"import socket\nimport sys\nimport os\nincludeos_src = os.environ['INCLUDEOS_SRC']\nsys.path.insert(0, includeos_src + '/test')\nimport vmrunner\nGUEST = '10.0.0.44' if len(sys.argv) < 2 else sys.argv[1]\nHOST = '10.0.0.1' if len(sys.argv) < 3 else sys.argv[2]\n\n\ndef TCP_test():\n\n def connect(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n server_address = GUEST, port\n print >> sys.stderr, 'connecting to %s port %s' % server_address\n sock.connect(server_address)\n try:\n while True:\n data = sock.recv(1024)\n if data:\n sock.sendall(data)\n else:\n break\n finally:\n print >> sys.stderr, 'closing socket'\n sock.close()\n return\n connect(8081)\n connect(8082)\n connect(8083)\n connect(8084)\n\n def listen(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\n server_address = HOST, port\n print >> sys.stderr, 'starting up on %s port %s' % server_address\n sock.bind(server_address)\n sock.listen(1)\n while True:\n connection, client_address = sock.accept()\n try:\n print >> sys.stderr, 'connection from', client_address\n while True:\n data = connection.recv(1024)\n if data:\n print >> sys.stderr, 'received data, sending data back to the client'\n connection.sendall(data)\n print >> sys.stderr, 'close connection to client'\n connection.close()\n else:\n print >> sys.stderr, 'no more data from', client_address\n break\n finally:\n connection.close()\n break\n sock.close()\n return\n listen(8085)\n\n\nvm = vmrunner.vms[0]\nvm.on_output('IncludeOS TCP test', TCP_test)\nvm.make().boot(80)\n",
"<import token>\nincludeos_src = os.environ['INCLUDEOS_SRC']\nsys.path.insert(0, includeos_src + '/test')\n<import token>\nGUEST = '10.0.0.44' if len(sys.argv) < 2 else sys.argv[1]\nHOST = '10.0.0.1' if len(sys.argv) < 3 else sys.argv[2]\n\n\ndef TCP_test():\n\n def connect(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n server_address = GUEST, port\n print >> sys.stderr, 'connecting to %s port %s' % server_address\n sock.connect(server_address)\n try:\n while True:\n data = sock.recv(1024)\n if data:\n sock.sendall(data)\n else:\n break\n finally:\n print >> sys.stderr, 'closing socket'\n sock.close()\n return\n connect(8081)\n connect(8082)\n connect(8083)\n connect(8084)\n\n def listen(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\n server_address = HOST, port\n print >> sys.stderr, 'starting up on %s port %s' % server_address\n sock.bind(server_address)\n sock.listen(1)\n while True:\n connection, client_address = sock.accept()\n try:\n print >> sys.stderr, 'connection from', client_address\n while True:\n data = connection.recv(1024)\n if data:\n print >> sys.stderr, 'received data, sending data back to the client'\n connection.sendall(data)\n print >> sys.stderr, 'close connection to client'\n connection.close()\n else:\n print >> sys.stderr, 'no more data from', client_address\n break\n finally:\n connection.close()\n break\n sock.close()\n return\n listen(8085)\n\n\nvm = vmrunner.vms[0]\nvm.on_output('IncludeOS TCP test', TCP_test)\nvm.make().boot(80)\n",
"<import token>\n<assignment token>\nsys.path.insert(0, includeos_src + '/test')\n<import token>\n<assignment token>\n\n\ndef TCP_test():\n\n def connect(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n server_address = GUEST, port\n print >> sys.stderr, 'connecting to %s port %s' % server_address\n sock.connect(server_address)\n try:\n while True:\n data = sock.recv(1024)\n if data:\n sock.sendall(data)\n else:\n break\n finally:\n print >> sys.stderr, 'closing socket'\n sock.close()\n return\n connect(8081)\n connect(8082)\n connect(8083)\n connect(8084)\n\n def listen(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\n server_address = HOST, port\n print >> sys.stderr, 'starting up on %s port %s' % server_address\n sock.bind(server_address)\n sock.listen(1)\n while True:\n connection, client_address = sock.accept()\n try:\n print >> sys.stderr, 'connection from', client_address\n while True:\n data = connection.recv(1024)\n if data:\n print >> sys.stderr, 'received data, sending data back to the client'\n connection.sendall(data)\n print >> sys.stderr, 'close connection to client'\n connection.close()\n else:\n print >> sys.stderr, 'no more data from', client_address\n break\n finally:\n connection.close()\n break\n sock.close()\n return\n listen(8085)\n\n\n<assignment token>\nvm.on_output('IncludeOS TCP test', TCP_test)\nvm.make().boot(80)\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n<assignment token>\n\n\ndef TCP_test():\n\n def connect(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n server_address = GUEST, port\n print >> sys.stderr, 'connecting to %s port %s' % server_address\n sock.connect(server_address)\n try:\n while True:\n data = sock.recv(1024)\n if data:\n sock.sendall(data)\n else:\n break\n finally:\n print >> sys.stderr, 'closing socket'\n sock.close()\n return\n connect(8081)\n connect(8082)\n connect(8083)\n connect(8084)\n\n def listen(port):\n sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)\n server_address = HOST, port\n print >> sys.stderr, 'starting up on %s port %s' % server_address\n sock.bind(server_address)\n sock.listen(1)\n while True:\n connection, client_address = sock.accept()\n try:\n print >> sys.stderr, 'connection from', client_address\n while True:\n data = connection.recv(1024)\n if data:\n print >> sys.stderr, 'received data, sending data back to the client'\n connection.sendall(data)\n print >> sys.stderr, 'close connection to client'\n connection.close()\n else:\n print >> sys.stderr, 'no more data from', client_address\n break\n finally:\n connection.close()\n break\n sock.close()\n return\n listen(8085)\n\n\n<assignment token>\n<code token>\n",
"<import token>\n<assignment token>\n<code token>\n<import token>\n<assignment token>\n<function token>\n<assignment token>\n<code token>\n"
] | false |
98,795 |
5b52f4dbe431f774e6cdde2d0766fbfaa065a78d
|
# -*- coding:utf-8 -*-
#中---优化---request范围PDM网站时传入账号和密码
import requests, bs4
class PdmBom():
def __init__(self, bom, cnDes, usDes, num, loc, allSon):
self.bom = bom
self.cnDes = cnDes
self.usDes = usDes
self.num = num
self.loc = loc
self.allSon = allSon
self.needSon = []
topfather_bom_url = 'http://www.baidu.com'
res = requests.get(topfather_bom_url)
res.raise_for_status()
print(res.text)
bs_obj = bs4.BeautifulSoup(res.text)
print(bs_obj.prettify()) #格式化输出
if __name__ == '__main__':
topFatherBom = PdmBom('02301246', '3U', '3U Whole Machine', 1, '', ['03057769', '02351379', '35689134'])
print(topFatherBom.bom)
print(topFatherBom.cnDes)
print(topFatherBom.usDes)
print(topFatherBom.num)
print(topFatherBom.loc)
print(topFatherBom.allSon)
|
[
"# -*- coding:utf-8 -*-\n#中---优化---request范围PDM网站时传入账号和密码\nimport requests, bs4\n\nclass PdmBom():\n def __init__(self, bom, cnDes, usDes, num, loc, allSon):\n self.bom = bom\n self.cnDes = cnDes\n self.usDes = usDes\n self.num = num\n self.loc = loc\n self.allSon = allSon\n self.needSon = []\n\ntopfather_bom_url = 'http://www.baidu.com'\n\nres = requests.get(topfather_bom_url)\nres.raise_for_status()\nprint(res.text)\n\nbs_obj = bs4.BeautifulSoup(res.text)\nprint(bs_obj.prettify()) #格式化输出\n\nif __name__ == '__main__':\n topFatherBom = PdmBom('02301246', '3U', '3U Whole Machine', 1, '', ['03057769', '02351379', '35689134'])\n print(topFatherBom.bom)\n print(topFatherBom.cnDes)\n print(topFatherBom.usDes)\n print(topFatherBom.num)\n print(topFatherBom.loc)\n print(topFatherBom.allSon)",
"import requests, bs4\n\n\nclass PdmBom:\n\n def __init__(self, bom, cnDes, usDes, num, loc, allSon):\n self.bom = bom\n self.cnDes = cnDes\n self.usDes = usDes\n self.num = num\n self.loc = loc\n self.allSon = allSon\n self.needSon = []\n\n\ntopfather_bom_url = 'http://www.baidu.com'\nres = requests.get(topfather_bom_url)\nres.raise_for_status()\nprint(res.text)\nbs_obj = bs4.BeautifulSoup(res.text)\nprint(bs_obj.prettify())\nif __name__ == '__main__':\n topFatherBom = PdmBom('02301246', '3U', '3U Whole Machine', 1, '', [\n '03057769', '02351379', '35689134'])\n print(topFatherBom.bom)\n print(topFatherBom.cnDes)\n print(topFatherBom.usDes)\n print(topFatherBom.num)\n print(topFatherBom.loc)\n print(topFatherBom.allSon)\n",
"<import token>\n\n\nclass PdmBom:\n\n def __init__(self, bom, cnDes, usDes, num, loc, allSon):\n self.bom = bom\n self.cnDes = cnDes\n self.usDes = usDes\n self.num = num\n self.loc = loc\n self.allSon = allSon\n self.needSon = []\n\n\ntopfather_bom_url = 'http://www.baidu.com'\nres = requests.get(topfather_bom_url)\nres.raise_for_status()\nprint(res.text)\nbs_obj = bs4.BeautifulSoup(res.text)\nprint(bs_obj.prettify())\nif __name__ == '__main__':\n topFatherBom = PdmBom('02301246', '3U', '3U Whole Machine', 1, '', [\n '03057769', '02351379', '35689134'])\n print(topFatherBom.bom)\n print(topFatherBom.cnDes)\n print(topFatherBom.usDes)\n print(topFatherBom.num)\n print(topFatherBom.loc)\n print(topFatherBom.allSon)\n",
"<import token>\n\n\nclass PdmBom:\n\n def __init__(self, bom, cnDes, usDes, num, loc, allSon):\n self.bom = bom\n self.cnDes = cnDes\n self.usDes = usDes\n self.num = num\n self.loc = loc\n self.allSon = allSon\n self.needSon = []\n\n\n<assignment token>\nres.raise_for_status()\nprint(res.text)\n<assignment token>\nprint(bs_obj.prettify())\nif __name__ == '__main__':\n topFatherBom = PdmBom('02301246', '3U', '3U Whole Machine', 1, '', [\n '03057769', '02351379', '35689134'])\n print(topFatherBom.bom)\n print(topFatherBom.cnDes)\n print(topFatherBom.usDes)\n print(topFatherBom.num)\n print(topFatherBom.loc)\n print(topFatherBom.allSon)\n",
"<import token>\n\n\nclass PdmBom:\n\n def __init__(self, bom, cnDes, usDes, num, loc, allSon):\n self.bom = bom\n self.cnDes = cnDes\n self.usDes = usDes\n self.num = num\n self.loc = loc\n self.allSon = allSon\n self.needSon = []\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<import token>\n\n\nclass PdmBom:\n <function token>\n\n\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n",
"<import token>\n<class token>\n<assignment token>\n<code token>\n<assignment token>\n<code token>\n"
] | false |
98,796 |
27f66094c8332a47c683df7e734a77f8fa0d7d9d
|
from skimage.transform import pyramid_gaussian
import matplotlib.pyplot as plt
import numpy as np
def compute_gaussian_pyramid(img, level = 5):
"""Computes a gaussian pyramid for an input image"""
image_pyramid = list(pyramid_gaussian(img, max_layer = level))
image_pyramid.reverse()
return image_pyramid
def remap_luminance(im_a, im_a_p, im_b):
# compute luminance
YIQ_tmp = colorsys.rgb_to_yiq(im_a[:,:,0],im_a[:,:,1],im_a[:,:,2])
lum_img_a = YIQ_tmp[0]
YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:,:,0],im_a_p[:,:,1],im_a_p[:,:,2])
lum_img_a_p = YIQ_tmp[0]
YIQ_tmp = colorsys.rgb_to_yiq(im_b[:,:,0],im_b[:,:,1],im_b[:,:,2])
lum_img_b = YIQ_tmp[0]
mean_a = np.mean(lum_img_a)
mean_b = np.mean(lum_img_b)
std_dev_a = np.std(lum_img_a)
std_dev_b = np.std(lum_img_b)
img_a_remap = (std_dev_b/std_dev_a) * (lum_img_a - mean_a) + mean_b
img_a_p_remap = []
for im in lum_img_a_p:
img_a_p_remap.append((std_dev_b/std_dev_a) * (im - mean_a) + mean_b)
return img_a_remap, img_a_p_remap
def to_1d(px, w):
rows, cols = px[0], px[1]
return (rows * w + cols).astype(int)
def to_2d(idx, w):
cols = idx % w
rows = (idx-cols) // w
return np.array([rows, cols])
def Ap_to_2d(ixs, h, w):
pxs = to_2d(ixs, w)
rows, cols = pxs[0], pxs[1]
img_nums = (np.floor(rows/h)).astype(int)
img_ixs = ixs - img_nums * h * w
return to_2d(img_ixs, w), img_nums
def Ap_to_1d(pxs, img_nums, h, w):
rows, cols = pxs[0], pxs[1]
return (((h * img_nums) + rows) * w + cols).astype(int)
|
[
"from skimage.transform import pyramid_gaussian\nimport matplotlib.pyplot as plt\nimport numpy as np\n\ndef compute_gaussian_pyramid(img, level = 5):\n\t\"\"\"Computes a gaussian pyramid for an input image\"\"\"\n\n\timage_pyramid = list(pyramid_gaussian(img, max_layer = level))\n\timage_pyramid.reverse()\n\n\treturn image_pyramid\n\n\ndef remap_luminance(im_a, im_a_p, im_b):\n # compute luminance\n YIQ_tmp = colorsys.rgb_to_yiq(im_a[:,:,0],im_a[:,:,1],im_a[:,:,2])\n lum_img_a = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:,:,0],im_a_p[:,:,1],im_a_p[:,:,2])\n lum_img_a_p = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_b[:,:,0],im_b[:,:,1],im_b[:,:,2])\n lum_img_b = YIQ_tmp[0]\n \n mean_a = np.mean(lum_img_a)\n mean_b = np.mean(lum_img_b)\n std_dev_a = np.std(lum_img_a)\n std_dev_b = np.std(lum_img_b)\n\n img_a_remap = (std_dev_b/std_dev_a) * (lum_img_a - mean_a) + mean_b\n\n img_a_p_remap = []\n\n for im in lum_img_a_p:\n img_a_p_remap.append((std_dev_b/std_dev_a) * (im - mean_a) + mean_b)\n\n return img_a_remap, img_a_p_remap\n\ndef to_1d(px, w):\n rows, cols = px[0], px[1]\n return (rows * w + cols).astype(int)\n\ndef to_2d(idx, w):\n cols = idx % w\n rows = (idx-cols) // w\n return np.array([rows, cols])\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = (np.floor(rows/h)).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\ndef Ap_to_1d(pxs, img_nums, h, w):\n rows, cols = pxs[0], pxs[1]\n return (((h * img_nums) + rows) * w + cols).astype(int)\n",
"from skimage.transform import pyramid_gaussian\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\ndef remap_luminance(im_a, im_a_p, im_b):\n YIQ_tmp = colorsys.rgb_to_yiq(im_a[:, :, 0], im_a[:, :, 1], im_a[:, :, 2])\n lum_img_a = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:, :, 0], im_a_p[:, :, 1], im_a_p[\n :, :, 2])\n lum_img_a_p = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_b[:, :, 0], im_b[:, :, 1], im_b[:, :, 2])\n lum_img_b = YIQ_tmp[0]\n mean_a = np.mean(lum_img_a)\n mean_b = np.mean(lum_img_b)\n std_dev_a = np.std(lum_img_a)\n std_dev_b = np.std(lum_img_b)\n img_a_remap = std_dev_b / std_dev_a * (lum_img_a - mean_a) + mean_b\n img_a_p_remap = []\n for im in lum_img_a_p:\n img_a_p_remap.append(std_dev_b / std_dev_a * (im - mean_a) + mean_b)\n return img_a_remap, img_a_p_remap\n\n\ndef to_1d(px, w):\n rows, cols = px[0], px[1]\n return (rows * w + cols).astype(int)\n\n\ndef to_2d(idx, w):\n cols = idx % w\n rows = (idx - cols) // w\n return np.array([rows, cols])\n\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = np.floor(rows / h).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\n\ndef Ap_to_1d(pxs, img_nums, h, w):\n rows, cols = pxs[0], pxs[1]\n return ((h * img_nums + rows) * w + cols).astype(int)\n",
"<import token>\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\ndef remap_luminance(im_a, im_a_p, im_b):\n YIQ_tmp = colorsys.rgb_to_yiq(im_a[:, :, 0], im_a[:, :, 1], im_a[:, :, 2])\n lum_img_a = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:, :, 0], im_a_p[:, :, 1], im_a_p[\n :, :, 2])\n lum_img_a_p = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_b[:, :, 0], im_b[:, :, 1], im_b[:, :, 2])\n lum_img_b = YIQ_tmp[0]\n mean_a = np.mean(lum_img_a)\n mean_b = np.mean(lum_img_b)\n std_dev_a = np.std(lum_img_a)\n std_dev_b = np.std(lum_img_b)\n img_a_remap = std_dev_b / std_dev_a * (lum_img_a - mean_a) + mean_b\n img_a_p_remap = []\n for im in lum_img_a_p:\n img_a_p_remap.append(std_dev_b / std_dev_a * (im - mean_a) + mean_b)\n return img_a_remap, img_a_p_remap\n\n\ndef to_1d(px, w):\n rows, cols = px[0], px[1]\n return (rows * w + cols).astype(int)\n\n\ndef to_2d(idx, w):\n cols = idx % w\n rows = (idx - cols) // w\n return np.array([rows, cols])\n\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = np.floor(rows / h).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\n\ndef Ap_to_1d(pxs, img_nums, h, w):\n rows, cols = pxs[0], pxs[1]\n return ((h * img_nums + rows) * w + cols).astype(int)\n",
"<import token>\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\ndef remap_luminance(im_a, im_a_p, im_b):\n YIQ_tmp = colorsys.rgb_to_yiq(im_a[:, :, 0], im_a[:, :, 1], im_a[:, :, 2])\n lum_img_a = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:, :, 0], im_a_p[:, :, 1], im_a_p[\n :, :, 2])\n lum_img_a_p = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_b[:, :, 0], im_b[:, :, 1], im_b[:, :, 2])\n lum_img_b = YIQ_tmp[0]\n mean_a = np.mean(lum_img_a)\n mean_b = np.mean(lum_img_b)\n std_dev_a = np.std(lum_img_a)\n std_dev_b = np.std(lum_img_b)\n img_a_remap = std_dev_b / std_dev_a * (lum_img_a - mean_a) + mean_b\n img_a_p_remap = []\n for im in lum_img_a_p:\n img_a_p_remap.append(std_dev_b / std_dev_a * (im - mean_a) + mean_b)\n return img_a_remap, img_a_p_remap\n\n\ndef to_1d(px, w):\n rows, cols = px[0], px[1]\n return (rows * w + cols).astype(int)\n\n\n<function token>\n\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = np.floor(rows / h).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\n\ndef Ap_to_1d(pxs, img_nums, h, w):\n rows, cols = pxs[0], pxs[1]\n return ((h * img_nums + rows) * w + cols).astype(int)\n",
"<import token>\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\ndef remap_luminance(im_a, im_a_p, im_b):\n YIQ_tmp = colorsys.rgb_to_yiq(im_a[:, :, 0], im_a[:, :, 1], im_a[:, :, 2])\n lum_img_a = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:, :, 0], im_a_p[:, :, 1], im_a_p[\n :, :, 2])\n lum_img_a_p = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_b[:, :, 0], im_b[:, :, 1], im_b[:, :, 2])\n lum_img_b = YIQ_tmp[0]\n mean_a = np.mean(lum_img_a)\n mean_b = np.mean(lum_img_b)\n std_dev_a = np.std(lum_img_a)\n std_dev_b = np.std(lum_img_b)\n img_a_remap = std_dev_b / std_dev_a * (lum_img_a - mean_a) + mean_b\n img_a_p_remap = []\n for im in lum_img_a_p:\n img_a_p_remap.append(std_dev_b / std_dev_a * (im - mean_a) + mean_b)\n return img_a_remap, img_a_p_remap\n\n\ndef to_1d(px, w):\n rows, cols = px[0], px[1]\n return (rows * w + cols).astype(int)\n\n\n<function token>\n\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = np.floor(rows / h).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\n\n<function token>\n",
"<import token>\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\ndef remap_luminance(im_a, im_a_p, im_b):\n YIQ_tmp = colorsys.rgb_to_yiq(im_a[:, :, 0], im_a[:, :, 1], im_a[:, :, 2])\n lum_img_a = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_a_p[:, :, 0], im_a_p[:, :, 1], im_a_p[\n :, :, 2])\n lum_img_a_p = YIQ_tmp[0]\n YIQ_tmp = colorsys.rgb_to_yiq(im_b[:, :, 0], im_b[:, :, 1], im_b[:, :, 2])\n lum_img_b = YIQ_tmp[0]\n mean_a = np.mean(lum_img_a)\n mean_b = np.mean(lum_img_b)\n std_dev_a = np.std(lum_img_a)\n std_dev_b = np.std(lum_img_b)\n img_a_remap = std_dev_b / std_dev_a * (lum_img_a - mean_a) + mean_b\n img_a_p_remap = []\n for im in lum_img_a_p:\n img_a_p_remap.append(std_dev_b / std_dev_a * (im - mean_a) + mean_b)\n return img_a_remap, img_a_p_remap\n\n\n<function token>\n<function token>\n\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = np.floor(rows / h).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\n\n<function token>\n",
"<import token>\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\n<function token>\n<function token>\n<function token>\n\n\ndef Ap_to_2d(ixs, h, w):\n pxs = to_2d(ixs, w)\n rows, cols = pxs[0], pxs[1]\n img_nums = np.floor(rows / h).astype(int)\n img_ixs = ixs - img_nums * h * w\n return to_2d(img_ixs, w), img_nums\n\n\n<function token>\n",
"<import token>\n\n\ndef compute_gaussian_pyramid(img, level=5):\n \"\"\"Computes a gaussian pyramid for an input image\"\"\"\n image_pyramid = list(pyramid_gaussian(img, max_layer=level))\n image_pyramid.reverse()\n return image_pyramid\n\n\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n",
"<import token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n<function token>\n"
] | false |
98,797 |
3791266a274649db4d1a25a3b20ff192451fc5c8
|
# <imports>
from otree.api import Currency as c
from otree.constants import BaseConstants
# </imports>
# ******************************************************************************************************************** #
# *** CLASS CONSTANTS *** #
# ******************************************************************************************************************** #
class Constants(BaseConstants):
# ---------------------------------------------------------------------------------------------------------------- #
# --- Task-specific Settings --- #
# ---------------------------------------------------------------------------------------------------------------- #
# currency (symbol)
currency = '€'
# number of binary choices between "payment today" and "payment in 12 months"
num_choices = 25
# include certain choice
certain_choice = True
# original list of payments in 12 moths used by Falk et al. (2016)
original_list = [
100.00, 103.00, 106.10, 109.20, 112.40,
115.60, 118.80, 122.10, 125.40, 128.80,
132.30, 135.70, 139.20, 142.80, 146.40,
150.10, 153.80, 157.50, 161.30, 165.10,
169.00, 172.90, 176.90, 180.90, 185.00
]
# Use original list of payments
# "True" means that the for the payments in 12 months the original list by Falk et al. (2016) will be used.
# "False" means that the list of payments in 12 months will be created anew,
# based on the parameter "increment" and "rate" specified below.
use_original_list = True
# if the list is to be created anew
# "payment" denotes the payment today
# "payment12" denotes the initial payment in 12 months, i.e. at row 1
# "increment" determines the initial increment in the payment in 12 months (i.e. from row 1 to row 2)
# "rate" denotes how much the increment changes from row to row
payment = 100
payment12 = payment
increment = 3
rate = 0.05
# ---------------------------------------------------------------------------------------------------------------- #
# --- Overall Settings and Appearance --- #
# ---------------------------------------------------------------------------------------------------------------- #
# Consistency (single switching point)
# ---------------------------------------------------------------------------------------------------------------
# Enforce consistency, i.e. only allow for a single switching point
# if <enforce_consistency = True>, all options "A" above a selected option "A" are automatically selected
# similarly, all options "B" below a selected option "B" are automatically checked, implying consistent choices
# note that <enforce_consistency> is only implemented if <one_choice_per_page = False> and <random_order = False>
enforce_consistency = True
# Single click
# if <enforce_consistency = True> and <single_click = True>, when a participant selects option "B" at a certain row,
# not only all options "B" below the selected option "B" are automatically checked (as in enforce_consistency),
# but also all options "A" above the selected option "B" are automatically checked.
# In other words, the participant is required to click only once.
single_click = True
# ---------------------------------------------------------------------------------------------------------------
# show each lottery pair on a separate page
# if <one_choice_per_page = True>, each single binary choice is shown on a separate page
# if <one_choice_per_page = False>, all <num_choices> choices are displayed in a table on one page
one_choice_per_page = False
# order choices between lottery pairs randomly
# if <random_order = True>, the ordering of binary decisions is randomized for display
# if <random_order = False>, binary choices are listed in ascending order of the probability of the "high" outcome
random_order = False
# depict probabilities as percentage numbers
# if <percentage = True>, the probability of outcome "high" will be displayed as percentage number, i.e. "50%"
# if <percentage = False>, the probabilities will be displayed as fractions, i.e. "1/2" etc.
percentage = True
# show small pie charts for each lottery
# if <small_pies = True>, a pie chart depicting the probabilities of outcomes is rendered next to each lottery
# if <small_pies = False>, no graphical representation of probabilities is displayed
small_pies = True
# display lotteries in terms of large pie charts
# if <large_pies = True>, lotteries are depicted as pie charts; if <large_pies = False> lotteries are list items
# note that <large_pies = True> only affects the task's appearance if <one_choice_per_page = True>
large_pies = True
# show progress bar
# if <progress_bar = True> and <one_choice_per_page = True>, a progress bar is rendered
# if <progress_bar = False>, no information with respect to the advance within the task is displayed
# the progress bar graphically depicts the advance within the task in terms of how many decision have been made
# further, information in terms of "page x out of <num_choices>" (with x denoting the current choice) is provided
progress_bar = True
# show instructions page
# if <instructions = True>, a separate template "Instructions.html" is rendered prior to the task
# if <instructions = False>, the task starts immediately (e.g. in case of printed instructions)
instructions = True
# show results page summarizing the task's outcome including payoff information
# if <results = True>, a separate page containing all relevant information is displayed after finishing the task
# if <results = False>, the template "Results.html" will not be rendered
results = False
# null payoff (if results is false and the task is not incentive compatible)
null_payoff = 0
# ---------------------------------------------------------------------------------------------------------------- #
# --- oTree Settings (Don't Modify) --- #
# ---------------------------------------------------------------------------------------------------------------- #
name_in_url = 'patience_mpl'
players_per_group = None
if one_choice_per_page:
if certain_choice:
num_rounds = num_choices
else:
num_rounds = num_choices - 1
else:
num_rounds = 1
|
[
"# <imports>\nfrom otree.api import Currency as c\nfrom otree.constants import BaseConstants\n# </imports>\n\n\n# ******************************************************************************************************************** #\n# *** CLASS CONSTANTS *** #\n# ******************************************************************************************************************** #\nclass Constants(BaseConstants):\n\n # ---------------------------------------------------------------------------------------------------------------- #\n # --- Task-specific Settings --- #\n # ---------------------------------------------------------------------------------------------------------------- #\n\n # currency (symbol)\n currency = '€'\n\n # number of binary choices between \"payment today\" and \"payment in 12 months\"\n num_choices = 25\n\n # include certain choice\n certain_choice = True\n\n # original list of payments in 12 moths used by Falk et al. (2016)\n original_list = [\n 100.00, 103.00, 106.10, 109.20, 112.40,\n 115.60, 118.80, 122.10, 125.40, 128.80,\n 132.30, 135.70, 139.20, 142.80, 146.40,\n 150.10, 153.80, 157.50, 161.30, 165.10,\n 169.00, 172.90, 176.90, 180.90, 185.00\n ]\n\n # Use original list of payments\n # \"True\" means that the for the payments in 12 months the original list by Falk et al. (2016) will be used.\n # \"False\" means that the list of payments in 12 months will be created anew,\n # based on the parameter \"increment\" and \"rate\" specified below.\n use_original_list = True\n\n # if the list is to be created anew\n # \"payment\" denotes the payment today\n # \"payment12\" denotes the initial payment in 12 months, i.e. at row 1\n # \"increment\" determines the initial increment in the payment in 12 months (i.e. from row 1 to row 2)\n # \"rate\" denotes how much the increment changes from row to row\n\n payment = 100\n payment12 = payment\n increment = 3\n rate = 0.05\n\n # ---------------------------------------------------------------------------------------------------------------- #\n # --- Overall Settings and Appearance --- #\n # ---------------------------------------------------------------------------------------------------------------- #\n\n # Consistency (single switching point)\n # ---------------------------------------------------------------------------------------------------------------\n # Enforce consistency, i.e. only allow for a single switching point\n # if <enforce_consistency = True>, all options \"A\" above a selected option \"A\" are automatically selected\n # similarly, all options \"B\" below a selected option \"B\" are automatically checked, implying consistent choices\n # note that <enforce_consistency> is only implemented if <one_choice_per_page = False> and <random_order = False>\n enforce_consistency = True\n\n # Single click\n # if <enforce_consistency = True> and <single_click = True>, when a participant selects option \"B\" at a certain row,\n # not only all options \"B\" below the selected option \"B\" are automatically checked (as in enforce_consistency),\n # but also all options \"A\" above the selected option \"B\" are automatically checked.\n # In other words, the participant is required to click only once.\n single_click = True\n\n # ---------------------------------------------------------------------------------------------------------------\n\n # show each lottery pair on a separate page\n # if <one_choice_per_page = True>, each single binary choice is shown on a separate page\n # if <one_choice_per_page = False>, all <num_choices> choices are displayed in a table on one page\n one_choice_per_page = False\n\n # order choices between lottery pairs randomly\n # if <random_order = True>, the ordering of binary decisions is randomized for display\n # if <random_order = False>, binary choices are listed in ascending order of the probability of the \"high\" outcome\n random_order = False\n\n # depict probabilities as percentage numbers\n # if <percentage = True>, the probability of outcome \"high\" will be displayed as percentage number, i.e. \"50%\"\n # if <percentage = False>, the probabilities will be displayed as fractions, i.e. \"1/2\" etc.\n percentage = True\n\n # show small pie charts for each lottery\n # if <small_pies = True>, a pie chart depicting the probabilities of outcomes is rendered next to each lottery\n # if <small_pies = False>, no graphical representation of probabilities is displayed\n small_pies = True\n\n # display lotteries in terms of large pie charts\n # if <large_pies = True>, lotteries are depicted as pie charts; if <large_pies = False> lotteries are list items\n # note that <large_pies = True> only affects the task's appearance if <one_choice_per_page = True>\n large_pies = True\n\n # show progress bar\n # if <progress_bar = True> and <one_choice_per_page = True>, a progress bar is rendered\n # if <progress_bar = False>, no information with respect to the advance within the task is displayed\n # the progress bar graphically depicts the advance within the task in terms of how many decision have been made\n # further, information in terms of \"page x out of <num_choices>\" (with x denoting the current choice) is provided\n progress_bar = True\n\n # show instructions page\n # if <instructions = True>, a separate template \"Instructions.html\" is rendered prior to the task\n # if <instructions = False>, the task starts immediately (e.g. in case of printed instructions)\n instructions = True\n\n # show results page summarizing the task's outcome including payoff information\n # if <results = True>, a separate page containing all relevant information is displayed after finishing the task\n # if <results = False>, the template \"Results.html\" will not be rendered\n results = False\n\n # null payoff (if results is false and the task is not incentive compatible)\n null_payoff = 0\n\n # ---------------------------------------------------------------------------------------------------------------- #\n # --- oTree Settings (Don't Modify) --- #\n # ---------------------------------------------------------------------------------------------------------------- #\n\n name_in_url = 'patience_mpl'\n players_per_group = None\n\n if one_choice_per_page:\n if certain_choice:\n num_rounds = num_choices\n else:\n num_rounds = num_choices - 1\n else:\n num_rounds = 1\n",
"from otree.api import Currency as c\nfrom otree.constants import BaseConstants\n\n\nclass Constants(BaseConstants):\n currency = '€'\n num_choices = 25\n certain_choice = True\n original_list = [100.0, 103.0, 106.1, 109.2, 112.4, 115.6, 118.8, 122.1,\n 125.4, 128.8, 132.3, 135.7, 139.2, 142.8, 146.4, 150.1, 153.8, \n 157.5, 161.3, 165.1, 169.0, 172.9, 176.9, 180.9, 185.0]\n use_original_list = True\n payment = 100\n payment12 = payment\n increment = 3\n rate = 0.05\n enforce_consistency = True\n single_click = True\n one_choice_per_page = False\n random_order = False\n percentage = True\n small_pies = True\n large_pies = True\n progress_bar = True\n instructions = True\n results = False\n null_payoff = 0\n name_in_url = 'patience_mpl'\n players_per_group = None\n if one_choice_per_page:\n if certain_choice:\n num_rounds = num_choices\n else:\n num_rounds = num_choices - 1\n else:\n num_rounds = 1\n",
"<import token>\n\n\nclass Constants(BaseConstants):\n currency = '€'\n num_choices = 25\n certain_choice = True\n original_list = [100.0, 103.0, 106.1, 109.2, 112.4, 115.6, 118.8, 122.1,\n 125.4, 128.8, 132.3, 135.7, 139.2, 142.8, 146.4, 150.1, 153.8, \n 157.5, 161.3, 165.1, 169.0, 172.9, 176.9, 180.9, 185.0]\n use_original_list = True\n payment = 100\n payment12 = payment\n increment = 3\n rate = 0.05\n enforce_consistency = True\n single_click = True\n one_choice_per_page = False\n random_order = False\n percentage = True\n small_pies = True\n large_pies = True\n progress_bar = True\n instructions = True\n results = False\n null_payoff = 0\n name_in_url = 'patience_mpl'\n players_per_group = None\n if one_choice_per_page:\n if certain_choice:\n num_rounds = num_choices\n else:\n num_rounds = num_choices - 1\n else:\n num_rounds = 1\n",
"<import token>\n\n\nclass Constants(BaseConstants):\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n if one_choice_per_page:\n if certain_choice:\n num_rounds = num_choices\n else:\n num_rounds = num_choices - 1\n else:\n num_rounds = 1\n",
"<import token>\n<class token>\n"
] | false |
98,798 |
1384745481ac8a8b8436bad663915374ae8a83ab
|
import random
import numpy as np
class ObstacleGrid:
density = 0.1
n = 100
sparsity = 0.995
def __init__(self, t_simulation):
self.t_simulation = t_simulation
self.grid = [[[[] for j in range(self.n)] for i in range(self.n)] for t in range(self.t_simulation)]
group = [[np.random.randint(0, self.n),np.random.randint(0, self.n)]]
for _ in range(int(self.n * self.n * self.density)):
if np.random.uniform(0,1) < self.sparsity:
obstacleFound = True
neighbours = [[-1, -1], [-1, 0], [-1, 1], [0, -1], [0, 1], [1, -1], [1, 0], [1, 1]]
while obstacleFound:
if len(neighbours) == 0:
group = [[np.random.randint(0, self.n), np.random.randint(0, self.n)]]
break
random_group = random.choice(group)
random_neighbour = random.choice(neighbours)
neighbours.remove(random_neighbour)
new_coord = list(np.array(random_neighbour) + np.array(random_group))
if 0 <= new_coord[0] < self.n and 0 <= new_coord[1] < self.n:
if len(self.grid[0][new_coord[0]][new_coord[1]]) == 0:
obstacleFound = False
if not obstacleFound:
for t in range(self.t_simulation):
self.grid[t][new_coord[0]][new_coord[1]].append(True)
group.append(new_coord)
else:
obstacleFound = True
while obstacleFound:
i = np.random.randint(0,self.n)
j = np.random.randint(0,self.n)
if not self.grid[0][i][j]:
obstacleFound = False
for t in range(self.t_simulation):
self.grid[t][i][j].append(True)
group = [[i,j]]
|
[
"import random\nimport numpy as np\nclass ObstacleGrid:\n\n density = 0.1\n n = 100\n sparsity = 0.995\n\n def __init__(self, t_simulation):\n self.t_simulation = t_simulation\n self.grid = [[[[] for j in range(self.n)] for i in range(self.n)] for t in range(self.t_simulation)]\n group = [[np.random.randint(0, self.n),np.random.randint(0, self.n)]]\n for _ in range(int(self.n * self.n * self.density)):\n if np.random.uniform(0,1) < self.sparsity:\n obstacleFound = True\n neighbours = [[-1, -1], [-1, 0], [-1, 1], [0, -1], [0, 1], [1, -1], [1, 0], [1, 1]]\n while obstacleFound:\n if len(neighbours) == 0:\n group = [[np.random.randint(0, self.n), np.random.randint(0, self.n)]]\n break\n random_group = random.choice(group)\n random_neighbour = random.choice(neighbours)\n neighbours.remove(random_neighbour)\n\n new_coord = list(np.array(random_neighbour) + np.array(random_group))\n if 0 <= new_coord[0] < self.n and 0 <= new_coord[1] < self.n:\n if len(self.grid[0][new_coord[0]][new_coord[1]]) == 0:\n obstacleFound = False\n\n if not obstacleFound:\n for t in range(self.t_simulation):\n self.grid[t][new_coord[0]][new_coord[1]].append(True)\n group.append(new_coord)\n\n else:\n obstacleFound = True\n while obstacleFound:\n\n i = np.random.randint(0,self.n)\n j = np.random.randint(0,self.n)\n\n if not self.grid[0][i][j]:\n obstacleFound = False\n\n for t in range(self.t_simulation):\n self.grid[t][i][j].append(True)\n group = [[i,j]]",
"import random\nimport numpy as np\n\n\nclass ObstacleGrid:\n density = 0.1\n n = 100\n sparsity = 0.995\n\n def __init__(self, t_simulation):\n self.t_simulation = t_simulation\n self.grid = [[[[] for j in range(self.n)] for i in range(self.n)] for\n t in range(self.t_simulation)]\n group = [[np.random.randint(0, self.n), np.random.randint(0, self.n)]]\n for _ in range(int(self.n * self.n * self.density)):\n if np.random.uniform(0, 1) < self.sparsity:\n obstacleFound = True\n neighbours = [[-1, -1], [-1, 0], [-1, 1], [0, -1], [0, 1],\n [1, -1], [1, 0], [1, 1]]\n while obstacleFound:\n if len(neighbours) == 0:\n group = [[np.random.randint(0, self.n), np.random.\n randint(0, self.n)]]\n break\n random_group = random.choice(group)\n random_neighbour = random.choice(neighbours)\n neighbours.remove(random_neighbour)\n new_coord = list(np.array(random_neighbour) + np.array(\n random_group))\n if 0 <= new_coord[0] < self.n and 0 <= new_coord[1\n ] < self.n:\n if len(self.grid[0][new_coord[0]][new_coord[1]]) == 0:\n obstacleFound = False\n if not obstacleFound:\n for t in range(self.t_simulation):\n self.grid[t][new_coord[0]][new_coord[1]].append(True)\n group.append(new_coord)\n else:\n obstacleFound = True\n while obstacleFound:\n i = np.random.randint(0, self.n)\n j = np.random.randint(0, self.n)\n if not self.grid[0][i][j]:\n obstacleFound = False\n for t in range(self.t_simulation):\n self.grid[t][i][j].append(True)\n group = [[i, j]]\n",
"<import token>\n\n\nclass ObstacleGrid:\n density = 0.1\n n = 100\n sparsity = 0.995\n\n def __init__(self, t_simulation):\n self.t_simulation = t_simulation\n self.grid = [[[[] for j in range(self.n)] for i in range(self.n)] for\n t in range(self.t_simulation)]\n group = [[np.random.randint(0, self.n), np.random.randint(0, self.n)]]\n for _ in range(int(self.n * self.n * self.density)):\n if np.random.uniform(0, 1) < self.sparsity:\n obstacleFound = True\n neighbours = [[-1, -1], [-1, 0], [-1, 1], [0, -1], [0, 1],\n [1, -1], [1, 0], [1, 1]]\n while obstacleFound:\n if len(neighbours) == 0:\n group = [[np.random.randint(0, self.n), np.random.\n randint(0, self.n)]]\n break\n random_group = random.choice(group)\n random_neighbour = random.choice(neighbours)\n neighbours.remove(random_neighbour)\n new_coord = list(np.array(random_neighbour) + np.array(\n random_group))\n if 0 <= new_coord[0] < self.n and 0 <= new_coord[1\n ] < self.n:\n if len(self.grid[0][new_coord[0]][new_coord[1]]) == 0:\n obstacleFound = False\n if not obstacleFound:\n for t in range(self.t_simulation):\n self.grid[t][new_coord[0]][new_coord[1]].append(True)\n group.append(new_coord)\n else:\n obstacleFound = True\n while obstacleFound:\n i = np.random.randint(0, self.n)\n j = np.random.randint(0, self.n)\n if not self.grid[0][i][j]:\n obstacleFound = False\n for t in range(self.t_simulation):\n self.grid[t][i][j].append(True)\n group = [[i, j]]\n",
"<import token>\n\n\nclass ObstacleGrid:\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __init__(self, t_simulation):\n self.t_simulation = t_simulation\n self.grid = [[[[] for j in range(self.n)] for i in range(self.n)] for\n t in range(self.t_simulation)]\n group = [[np.random.randint(0, self.n), np.random.randint(0, self.n)]]\n for _ in range(int(self.n * self.n * self.density)):\n if np.random.uniform(0, 1) < self.sparsity:\n obstacleFound = True\n neighbours = [[-1, -1], [-1, 0], [-1, 1], [0, -1], [0, 1],\n [1, -1], [1, 0], [1, 1]]\n while obstacleFound:\n if len(neighbours) == 0:\n group = [[np.random.randint(0, self.n), np.random.\n randint(0, self.n)]]\n break\n random_group = random.choice(group)\n random_neighbour = random.choice(neighbours)\n neighbours.remove(random_neighbour)\n new_coord = list(np.array(random_neighbour) + np.array(\n random_group))\n if 0 <= new_coord[0] < self.n and 0 <= new_coord[1\n ] < self.n:\n if len(self.grid[0][new_coord[0]][new_coord[1]]) == 0:\n obstacleFound = False\n if not obstacleFound:\n for t in range(self.t_simulation):\n self.grid[t][new_coord[0]][new_coord[1]].append(True)\n group.append(new_coord)\n else:\n obstacleFound = True\n while obstacleFound:\n i = np.random.randint(0, self.n)\n j = np.random.randint(0, self.n)\n if not self.grid[0][i][j]:\n obstacleFound = False\n for t in range(self.t_simulation):\n self.grid[t][i][j].append(True)\n group = [[i, j]]\n",
"<import token>\n\n\nclass ObstacleGrid:\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n",
"<import token>\n<class token>\n"
] | false |
98,799 |
b79f99c62377722da1e197a72273581592f8f72b
|
#A person class.
#Make a class of called Person. Make the __init__() method take firstname,
#lastname, and age as parameters and add them as attributes. Make another method
#called talk() which makes prints a greeting from the person containing, for
#example like this: “Hello, my name is Carl Johnson and I’m 26 years old”.
class Person:
Name ="default"
LastName ="default"
Age = 0
PhoneNumber = "default"
ItemsList = {}
# конструктор классу
def __init__(self, Name="default" ,LastName="default" ,Age = 0 ,PhoneNumber="default"):
self.Name = Name
self.LastName = LastName
self.PhoneNumber = PhoneNumber
self.Age = Age
self._update_ItemsList()
# Оновимо словник новими значеннями з полів классу
def _update_ItemsList(self):
self.ItemsList ={"Name":self.Name,"LastName":self.LastName,"Age":self.Age,"PhoneNumber":self.PhoneNumber}
# метод для виводу полів классу
def _get_class_items_(self):
for k , m in self.ItemsList.items():
print(" %s : %s" %(k,m))
# метод для привітання
def _do_introduce_(self):
print(" \tHello, my name - %s %s and I’m %i years old\n \tPhone Number is %s" %(self.ItemsList["Name"],self.ItemsList["LastName"],self.ItemsList["Age"],self.ItemsList["PhoneNumber"]))
Denys = Person("Denys","Zakharov", 20, "+380668645945")
Denys._get_class_items_()
Denys._do_introduce_()
|
[
"#A person class.\n\n#Make a class of called Person. Make the __init__() method take firstname,\n#lastname, and age as parameters and add them as attributes. Make another method\n#called talk() which makes prints a greeting from the person containing, for\n#example like this: “Hello, my name is Carl Johnson and I’m 26 years old”. \n\nclass Person:\n Name =\"default\"\n LastName =\"default\"\n Age = 0\n PhoneNumber = \"default\"\n ItemsList = {}\n\n # конструктор классу\n def __init__(self, Name=\"default\" ,LastName=\"default\" ,Age = 0 ,PhoneNumber=\"default\"):\n self.Name = Name\n self.LastName = LastName\n self.PhoneNumber = PhoneNumber\n self.Age = Age\n self._update_ItemsList()\n \n # Оновимо словник новими значеннями з полів классу \n def _update_ItemsList(self):\n self.ItemsList ={\"Name\":self.Name,\"LastName\":self.LastName,\"Age\":self.Age,\"PhoneNumber\":self.PhoneNumber}\n \n # метод для виводу полів классу\n def _get_class_items_(self):\n for k , m in self.ItemsList.items():\n print(\" %s : %s\" %(k,m))\n\n # метод для привітання \n def _do_introduce_(self):\n print(\" \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s\" %(self.ItemsList[\"Name\"],self.ItemsList[\"LastName\"],self.ItemsList[\"Age\"],self.ItemsList[\"PhoneNumber\"]))\n \n \nDenys = Person(\"Denys\",\"Zakharov\", 20, \"+380668645945\")\nDenys._get_class_items_()\nDenys._do_introduce_()\n\n\n\n",
"class Person:\n Name = 'default'\n LastName = 'default'\n Age = 0\n PhoneNumber = 'default'\n ItemsList = {}\n\n def __init__(self, Name='default', LastName='default', Age=0,\n PhoneNumber='default'):\n self.Name = Name\n self.LastName = LastName\n self.PhoneNumber = PhoneNumber\n self.Age = Age\n self._update_ItemsList()\n\n def _update_ItemsList(self):\n self.ItemsList = {'Name': self.Name, 'LastName': self.LastName,\n 'Age': self.Age, 'PhoneNumber': self.PhoneNumber}\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n\n def _do_introduce_(self):\n print(\n ' \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s'\n % (self.ItemsList['Name'], self.ItemsList['LastName'], self.\n ItemsList['Age'], self.ItemsList['PhoneNumber']))\n\n\nDenys = Person('Denys', 'Zakharov', 20, '+380668645945')\nDenys._get_class_items_()\nDenys._do_introduce_()\n",
"class Person:\n Name = 'default'\n LastName = 'default'\n Age = 0\n PhoneNumber = 'default'\n ItemsList = {}\n\n def __init__(self, Name='default', LastName='default', Age=0,\n PhoneNumber='default'):\n self.Name = Name\n self.LastName = LastName\n self.PhoneNumber = PhoneNumber\n self.Age = Age\n self._update_ItemsList()\n\n def _update_ItemsList(self):\n self.ItemsList = {'Name': self.Name, 'LastName': self.LastName,\n 'Age': self.Age, 'PhoneNumber': self.PhoneNumber}\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n\n def _do_introduce_(self):\n print(\n ' \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s'\n % (self.ItemsList['Name'], self.ItemsList['LastName'], self.\n ItemsList['Age'], self.ItemsList['PhoneNumber']))\n\n\n<assignment token>\nDenys._get_class_items_()\nDenys._do_introduce_()\n",
"class Person:\n Name = 'default'\n LastName = 'default'\n Age = 0\n PhoneNumber = 'default'\n ItemsList = {}\n\n def __init__(self, Name='default', LastName='default', Age=0,\n PhoneNumber='default'):\n self.Name = Name\n self.LastName = LastName\n self.PhoneNumber = PhoneNumber\n self.Age = Age\n self._update_ItemsList()\n\n def _update_ItemsList(self):\n self.ItemsList = {'Name': self.Name, 'LastName': self.LastName,\n 'Age': self.Age, 'PhoneNumber': self.PhoneNumber}\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n\n def _do_introduce_(self):\n print(\n ' \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s'\n % (self.ItemsList['Name'], self.ItemsList['LastName'], self.\n ItemsList['Age'], self.ItemsList['PhoneNumber']))\n\n\n<assignment token>\n<code token>\n",
"class Person:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __init__(self, Name='default', LastName='default', Age=0,\n PhoneNumber='default'):\n self.Name = Name\n self.LastName = LastName\n self.PhoneNumber = PhoneNumber\n self.Age = Age\n self._update_ItemsList()\n\n def _update_ItemsList(self):\n self.ItemsList = {'Name': self.Name, 'LastName': self.LastName,\n 'Age': self.Age, 'PhoneNumber': self.PhoneNumber}\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n\n def _do_introduce_(self):\n print(\n ' \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s'\n % (self.ItemsList['Name'], self.ItemsList['LastName'], self.\n ItemsList['Age'], self.ItemsList['PhoneNumber']))\n\n\n<assignment token>\n<code token>\n",
"class Person:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n\n def __init__(self, Name='default', LastName='default', Age=0,\n PhoneNumber='default'):\n self.Name = Name\n self.LastName = LastName\n self.PhoneNumber = PhoneNumber\n self.Age = Age\n self._update_ItemsList()\n <function token>\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n\n def _do_introduce_(self):\n print(\n ' \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s'\n % (self.ItemsList['Name'], self.ItemsList['LastName'], self.\n ItemsList['Age'], self.ItemsList['PhoneNumber']))\n\n\n<assignment token>\n<code token>\n",
"class Person:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n\n def _do_introduce_(self):\n print(\n ' \\tHello, my name - %s %s and I’m %i years old\\n \\tPhone Number is %s'\n % (self.ItemsList['Name'], self.ItemsList['LastName'], self.\n ItemsList['Age'], self.ItemsList['PhoneNumber']))\n\n\n<assignment token>\n<code token>\n",
"class Person:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n\n def _get_class_items_(self):\n for k, m in self.ItemsList.items():\n print(' %s : %s' % (k, m))\n <function token>\n\n\n<assignment token>\n<code token>\n",
"class Person:\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <assignment token>\n <function token>\n <function token>\n <function token>\n <function token>\n\n\n<assignment token>\n<code token>\n",
"<class token>\n<assignment token>\n<code token>\n"
] | false |
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