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7fbf97b1503386b6939f46cfda12993249f306aa | 3a93a50bf80668a6ede701534f1567c3653729b0 | /Sept_challenge/arithemetic_slice_II.py | 5d4391eb891b132eaff46dae5987441400c9534b | [] | no_license | Tadele01/Competitive-Programming | c16778298b6c1b4c0b579aedd1b5f0d4106aceeb | 125de2b4e23f78d2e9f0a8fde90463bed0aed70f | refs/heads/master | 2023-09-01T06:00:09.068940 | 2021-09-13T18:04:30 | 2021-09-13T18:04:30 | 325,728,258 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 464 | py | from typing import List
from collections import defaultdict
class Solution:
def numberOfArithmeticSlices(self, nums: List[int]) -> int:
subsequence = 0
cache = [defaultdict(int) for _ in nums]
for i in range(len(nums)):
for j in range(i):
diff = nums[i] - nums[j]
cache[i][diff] += cache[j][diff] + 1
subsequence += cache[j][diff]
return subsequence | [
"[email protected]"
] | |
8dbeb21e45db293b1eed3a4d259d0a7190aadd1e | 46e6b58d52aad982ac49e8b4b1e72cc19d5855e7 | /venv/Lib/encodings/gb2312.py | 9e002e015138f7d2e656d95a22e0deba0a85c73b | [] | no_license | Josquin95/Triqui | 76584d2801d49546c79422b4635bff5d251b77c9 | 82e3ac1b0e053993d76e3d7aea88204799540e05 | refs/heads/master | 2023-07-21T09:38:49.037207 | 2023-07-17T21:42:29 | 2023-07-17T21:42:29 | 113,802,751 | 0 | 1 | null | 2022-10-07T04:32:38 | 2017-12-11T02:27:58 | Python | UTF-8 | Python | false | false | 1,039 | py | #
# gb2312.py: Python Unicode Codec for GB2312
#
# Written by Hye-Shik Chang <[email protected]>
#
import _codecs_cn
import _multibytecodec as mbc
import codecs
codec = _codecs_cn.getcodec('gb2312')
class Codec(codecs.Codec):
encode = codec.encode
decode = codec.decode
class IncrementalEncoder(mbc.MultibyteIncrementalEncoder,
codecs.IncrementalEncoder):
codec = codec
class IncrementalDecoder(mbc.MultibyteIncrementalDecoder,
codecs.IncrementalDecoder):
codec = codec
class StreamReader(Codec, mbc.MultibyteStreamReader, codecs.StreamReader):
codec = codec
class StreamWriter(Codec, mbc.MultibyteStreamWriter, codecs.StreamWriter):
codec = codec
def getregentry():
return codecs.CodecInfo(
name='gb2312',
encode=Codec().encode,
decode=Codec().decode,
incrementalencoder=IncrementalEncoder,
incrementaldecoder=IncrementalDecoder,
streamreader=StreamReader,
streamwriter=StreamWriter,
)
| [
"[email protected]"
] | |
677da4b419273dd5a0c14a32c94015dd6bb3ad6b | 10c6f6801ff50e7456ef7dacc57e6c019cbe5311 | /vendor/pipstrip | 67cd04941aefc0845693decab4a56cce0f59c29f | [
"MIT"
] | permissive | 2pax-hq/heroku-buildpack-python | 6d66f9cc48e80276e65c00bf95d486ff24f5be48 | 4669a838e7a56a369f97c4ba1c65426774d93d96 | refs/heads/master | 2021-06-15T18:33:20.806751 | 2017-03-14T12:52:01 | 2017-03-14T12:52:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 245 | #!/usr/bin/env python
import sys
req_file = sys.argv[1]
lines = []
with open(req_file, 'r') as f:
r = f.readlines()
for l in r:
lines.append(l.split('--hash')[0])
with open(req_file, 'w') as f:
f.write('\n'.join(lines))
| [
"[email protected]"
] | ||
3a6dca8992ab5cc806956e4513c10943419020d0 | d45cbb9aa98871851efeebf5f39498534c9125a5 | /supar/models/constituency.py | 38f92d4cceb2d8d625432379412c00c47351464b | [
"MIT"
] | permissive | ashim95/parser | c307e7178128031deb8fbaa08db6410a94e30bf4 | 61e9cd6bf16dcf1aa2b9d51b3a6c04ed048b3199 | refs/heads/main | 2023-02-06T02:36:48.404534 | 2021-01-01T20:05:49 | 2021-01-01T20:05:49 | 324,896,816 | 0 | 0 | MIT | 2020-12-28T02:53:43 | 2020-12-28T02:53:42 | null | UTF-8 | Python | false | false | 10,859 | py | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
from supar.modules import LSTM, MLP, BertEmbedding, Biaffine, CharLSTM
from supar.modules.dropout import IndependentDropout, SharedDropout
from supar.modules.treecrf import CRFConstituency
from supar.utils import Config
from supar.utils.alg import cky
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
class CRFConstituencyModel(nn.Module):
r"""
The implementation of CRF Constituency Parser,
also called FANCY (abbr. of Fast and Accurate Neural Crf constituencY) Parser.
References:
- Yu Zhang, Houquan Zhou and Zhenghua Li. 2020.
`Fast and Accurate Neural CRF Constituency Parsing`_.
Args:
n_words (int):
The size of the word vocabulary.
n_feats (int):
The size of the feat vocabulary.
n_labels (int):
The number of labels.
feat (str):
Specifies which type of additional feature to use: ``'char'`` | ``'bert'`` | ``'tag'``.
``'char'``: Character-level representations extracted by CharLSTM.
``'bert'``: BERT representations, other pretrained langugae models like XLNet are also feasible.
``'tag'``: POS tag embeddings.
Default: 'char'.
n_embed (int):
The size of word embeddings. Default: 100.
n_feat_embed (int):
The size of feature representations. Default: 100.
n_char_embed (int):
The size of character embeddings serving as inputs of CharLSTM, required if ``feat='char'``. Default: 50.
bert (str):
Specifies which kind of language model to use, e.g., ``'bert-base-cased'`` and ``'xlnet-base-cased'``.
This is required if ``feat='bert'``. The full list can be found in `transformers`.
Default: ``None``.
n_bert_layers (int):
Specifies how many last layers to use. Required if ``feat='bert'``.
The final outputs would be the weight sum of the hidden states of these layers.
Default: 4.
mix_dropout (float):
The dropout ratio of BERT layers. Required if ``feat='bert'``. Default: .0.
embed_dropout (float):
The dropout ratio of input embeddings. Default: .33.
n_lstm_hidden (int):
The size of LSTM hidden states. Default: 400.
n_lstm_layers (int):
The number of LSTM layers. Default: 3.
lstm_dropout (float):
The dropout ratio of LSTM. Default: .33.
n_mlp_span (int):
Span MLP size. Default: 500.
n_mlp_label (int):
Label MLP size. Default: 100.
mlp_dropout (float):
The dropout ratio of MLP layers. Default: .33.
feat_pad_index (int):
The index of the padding token in the feat vocabulary. Default: 0.
pad_index (int):
The index of the padding token in the word vocabulary. Default: 0.
unk_index (int):
The index of the unknown token in the word vocabulary. Default: 1.
.. _Fast and Accurate Neural CRF Constituency Parsing:
https://www.ijcai.org/Proceedings/2020/560/
.. _transformers:
https://github.com/huggingface/transformers
"""
def __init__(self,
n_words,
n_feats,
n_labels,
feat='char',
n_embed=100,
n_feat_embed=100,
n_char_embed=50,
bert=None,
n_bert_layers=4,
mix_dropout=.0,
embed_dropout=.33,
n_lstm_hidden=400,
n_lstm_layers=3,
lstm_dropout=.33,
n_mlp_span=500,
n_mlp_label=100,
mlp_dropout=.33,
feat_pad_index=0,
pad_index=0,
unk_index=1,
**kwargs):
super().__init__()
self.args = Config().update(locals())
# the embedding layer
self.word_embed = nn.Embedding(num_embeddings=n_words,
embedding_dim=n_embed)
if feat == 'char':
self.feat_embed = CharLSTM(n_chars=n_feats,
n_embed=n_char_embed,
n_out=n_feat_embed,
pad_index=feat_pad_index)
elif feat == 'bert':
self.feat_embed = BertEmbedding(model=bert,
n_layers=n_bert_layers,
n_out=n_feat_embed,
pad_index=feat_pad_index,
dropout=mix_dropout)
self.n_feat_embed = self.feat_embed.n_out
elif feat == 'tag':
self.feat_embed = nn.Embedding(num_embeddings=n_feats,
embedding_dim=n_feat_embed)
else:
raise RuntimeError("The feat type should be in ['char', 'bert', 'tag'].")
self.embed_dropout = IndependentDropout(p=embed_dropout)
# the lstm layer
self.lstm = LSTM(input_size=n_embed+n_feat_embed,
hidden_size=n_lstm_hidden,
num_layers=n_lstm_layers,
bidirectional=True,
dropout=lstm_dropout)
self.lstm_dropout = SharedDropout(p=lstm_dropout)
# the MLP layers
self.mlp_span_l = MLP(n_in=n_lstm_hidden*2, n_out=n_mlp_span, dropout=mlp_dropout)
self.mlp_span_r = MLP(n_in=n_lstm_hidden*2, n_out=n_mlp_span, dropout=mlp_dropout)
self.mlp_label_l = MLP(n_in=n_lstm_hidden*2, n_out=n_mlp_label, dropout=mlp_dropout)
self.mlp_label_r = MLP(n_in=n_lstm_hidden*2, n_out=n_mlp_label, dropout=mlp_dropout)
# the Biaffine layers
self.span_attn = Biaffine(n_in=n_mlp_span, bias_x=True, bias_y=False)
self.label_attn = Biaffine(n_in=n_mlp_label, n_out=n_labels, bias_x=True, bias_y=True)
self.crf = CRFConstituency()
self.criterion = nn.CrossEntropyLoss()
self.pad_index = pad_index
self.unk_index = unk_index
def load_pretrained(self, embed=None):
if embed is not None:
self.pretrained = nn.Embedding.from_pretrained(embed)
nn.init.zeros_(self.word_embed.weight)
return self
def forward(self, words, feats):
r"""
Args:
words (~torch.LongTensor): ``[batch_size, seq_len]``.
Word indices.
feats (~torch.LongTensor):
Feat indices.
If feat is ``'char'`` or ``'bert'``, the size of feats should be ``[batch_size, seq_len, fix_len]``
if ``'tag'``, the size is ``[batch_size, seq_len]``.
Returns:
~torch.Tensor, ~torch.Tensor:
The first tensor of shape ``[batch_size, seq_len, seq_len]`` holds scores of all possible spans.
The second of shape ``[batch_size, seq_len, seq_len, n_labels]`` holds
scores of all possible labels on each span.
"""
batch_size, seq_len = words.shape
# get the mask and lengths of given batch
mask = words.ne(self.pad_index)
ext_words = words
# set the indices larger than num_embeddings to unk_index
if hasattr(self, 'pretrained'):
ext_mask = words.ge(self.word_embed.num_embeddings)
ext_words = words.masked_fill(ext_mask, self.unk_index)
# get outputs from embedding layers
word_embed = self.word_embed(ext_words)
if hasattr(self, 'pretrained'):
word_embed += self.pretrained(words)
feat_embed = self.feat_embed(feats)
word_embed, feat_embed = self.embed_dropout(word_embed, feat_embed)
# concatenate the word and feat representations
embed = torch.cat((word_embed, feat_embed), -1)
x = pack_padded_sequence(embed, mask.sum(1), True, False)
x, _ = self.lstm(x)
x, _ = pad_packed_sequence(x, True, total_length=seq_len)
x = self.lstm_dropout(x)
x_f, x_b = x.chunk(2, -1)
x = torch.cat((x_f[:, :-1], x_b[:, 1:]), -1)
# apply MLPs to the BiLSTM output states
span_l = self.mlp_span_l(x)
span_r = self.mlp_span_r(x)
label_l = self.mlp_label_l(x)
label_r = self.mlp_label_r(x)
# [batch_size, seq_len, seq_len]
s_span = self.span_attn(span_l, span_r)
# [batch_size, seq_len, seq_len, n_labels]
s_label = self.label_attn(label_l, label_r).permute(0, 2, 3, 1)
return s_span, s_label
def loss(self, s_span, s_label, charts, mask, mbr=True):
r"""
Args:
s_span (~torch.Tensor): ``[batch_size, seq_len, seq_len]``.
Scores of all spans
s_label (~torch.Tensor): ``[batch_size, seq_len, seq_len, n_labels]``.
Scores of all labels on each span.
charts (~torch.LongTensor): ``[batch_size, seq_len, seq_len]``.
The tensor of gold-standard labels, in which positions without labels are filled with -1.
mask (~torch.BoolTensor): ``[batch_size, seq_len, seq_len]``.
The mask for covering the unpadded tokens in each chart.
mbr (bool):
If ``True``, returns marginals for MBR decoding. Default: ``True``.
Returns:
~torch.Tensor, ~torch.Tensor:
The training loss and
original span scores of shape ``[batch_size, seq_len, seq_len]`` if ``mbr=False``, or marginals otherwise.
"""
span_mask = charts.ge(0) & mask
span_loss, span_probs = self.crf(s_span, mask, span_mask, mbr)
label_loss = self.criterion(s_label[span_mask], charts[span_mask])
loss = span_loss + label_loss
return loss, span_probs
def decode(self, s_span, s_label, mask):
r"""
Args:
s_span (~torch.Tensor): ``[batch_size, seq_len, seq_len]``.
Scores of all spans.
s_label (~torch.Tensor): ``[batch_size, seq_len, seq_len, n_labels]``.
Scores of all labels on each span.
mask (~torch.BoolTensor): ``[batch_size, seq_len, seq_len]``.
The mask for covering the unpadded tokens in each chart.
Returns:
list[list[tuple]]:
Sequences of factorized labeled trees traversed in pre-order.
"""
span_preds = cky(s_span, mask)
label_preds = s_label.argmax(-1).tolist()
return [[(i, j, labels[i][j]) for i, j in spans] for spans, labels in zip(span_preds, label_preds)]
| [
"[email protected]"
] | |
c4b87867633ef1590bf86b17328f7c49e7240a27 | 74d54aef5bc3fc3aeb01a16c4738d59215085790 | /sm/main.py | b92b99e9edc36d8b9194d92c4b5212e3a1a1fb2b | [] | no_license | sarthak77/super-mario | a051cd96bef178a86f1c1f1f46d9f3574e55c7df | 1dc97213c735d20f265a9e9e5a1ac51de963b7cf | refs/heads/master | 2022-07-10T11:16:41.276036 | 2019-07-07T06:06:59 | 2019-07-07T06:06:59 | 148,191,715 | 2 | 2 | null | 2022-06-21T22:16:09 | 2018-09-10T17:17:22 | Python | UTF-8 | Python | false | false | 32,053 | py | #main code of the game
from start import *
from mainscene import *
from func import *
import time
import sys
import select
import tty
import termios
#GLABAL VARIABLES
quit=1
i=0
mariopresent=[33,7]
marioprev=["-","-","-","-","-","-","-","-"]# 8 elements
life=3
score=0#coins
a=time.time()
cjump=10#for surprise coin
bullet=0
x=[]
y=[]
#to control enemy loop
loop=0
loop2=0
#9 enemies
enemy1=np.chararray((5,4))
enemy1[:]="-"
enemy2=np.chararray((4,5))
enemy2[:]="-"
old_settings = termios.tcgetattr(sys.stdin)
def isData():
return select.select([sys.stdin], [], [], 0) == ([sys.stdin], [],[])
#--------------take input without pressing enter-----------------------------
class _Getch:
"""Gets a single character from standard input. Does not echo to the
screen."""
def __init__(self):
try:
self.impl = _GetchWindows()
except ImportError:
self.impl = _GetchUnix()
def __call__(self): return self.impl()
class _GetchUnix:
def __init__(self):
import tty, sys
def __call__(self):
import sys, tty, termios
fd = sys.stdin.fileno()
old_settings = termios.tcgetattr(fd)
try:
tty.setraw(sys.stdin.fileno())
ch = sys.stdin.read(1)
finally:
termios.tcsetattr(fd, termios.TCSADRAIN, old_settings)
return ch
class _GetchWindows:
def __init__(self):
import msvcrt
def __call__(self):
import msvcrt
return msvcrt.getch()
getch = _Getch()
#------------------------------------------------------------------------------
#--------------------------start screen---------------------------------------
class start(object):
def __init__(self):
#making object
self.__board=start_board()
#main function
def run(self):
self.__board.printboard()
while(1):
print()
print(" --------------------------------------------------------")
print(" |PRESS s TO GO DOWN---PRESS w TO GO UP---PRESS f TO ENTER|")
print(" --------------------------------------------------------")
print()
inp=getch()
if inp=="s":
self.__board.update(23,41,'-')
self.__board.update(25,41,'>')
if inp=="f":
if self.__board.getgrid(23,41)==">":
os.system('clear')
print(" STARTING GAME IN 3s")
#time.sleep(3)
global quit
quit=0
break
if inp=="w":
self.__board.update(25,41,'-')
self.__board.update(23,41,'>')
#self.__board.printboard()
self.__board.printboard()
#---------------------------------------------------------------------------------
#------------------------------game scene class-----------------------------------
class screen(object):
def __init__(self):
#creating object
self.__board=mainscene_board()
def reset(self):
global mariopresent,marioprev,i,life,score,bullet
self.__board.clean(mariopresent,marioprev)
marioprev=["-","-","-","-","-","-","-","-"]
os.system('clear')
print("START AGAIN")
time.sleep(1)
mariopresent=[33,7]
i=0
bullet=0
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#main function
def run(self):
#initial values
self.__board.printboard(0,7,3,0,0)
speed=2#do not change
previnp="s"#for jumping
try:
tty.setcbreak(sys.stdin.fileno())
while(1):
global mariopresent,marioprev,life,score,a,cjump,bullet,x,y,i,loop,loop2
#if won
if mariopresent==[33,609]:
os.system('aplay ./sounds/smb_stage_clear.wav')
#spawn fireworks
for f in range(580,650,10):
self.__board.addfireworks(10,f)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#print(f)
os.system('aplay ./sounds/smb_fireworks.wav')
#time.sleep(.5)
time.sleep(2)
os.system('clear')
print("SCORE->",score)
time.sleep(1)
print("LIFE_SCORE->",life*100)
time.sleep(1)
timescore=0
if (time.time()-a)<=100:
timescore=100
if (time.time()-a)<=150:
timescore=50
print("TIME_SCORE->",timescore)
time.sleep(1)
print("TOTAL SCORE->",score+life*100+timescore)
time.sleep(1)
print("YOU WON")
time.sleep(1)
break
#game ends
#check on jump
low=1
#------------------------------keystroke dependent----------------------------------
if isData():
# read input keystroke from user
keyStroke = sys.stdin.read(1)
#for bullets
if keyStroke=="f" and bullet==1:
os.system('aplay ./sounds/smb_fireball.wav')
#checking directions
direction=1#if no previnp
if previnp=="d":
direction=1
elif previnp=="a":
direction=-1
#range of bullet
for b in range(0,11*direction,direction):
g=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3*direction+b)#storing next cell
self.__board.fire1(mariopresent[0]+1,mariopresent[1]+3*direction+b)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
self.__board.fire2(mariopresent[0]+1,mariopresent[1]+3*direction+b,g)
time.sleep(.03)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#check if enemy dead or not
if self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3*direction+b+direction)=="Q":
if self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3*direction+b+2*direction)!="Q":#enemy2 cannot be killed
self.__board.cleane1a(mariopresent[1]+3*direction+b+direction,enemy1[x.index(mariopresent[1]+3*direction+b+direction),:])#vanish
#x[x.index(mariopresent[1]+3*direction+b+direction)]=-1#send back
x.remove(mariopresent[1]+3*direction+b+direction)#send back
score+=10
#check if bullet can move forward
if checkj(self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3*direction+b+direction),self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3*direction+b+direction))==-1:
break
#moving forward
if keyStroke=="d" and mariopresent[1]<(i+100-6):
#check obstacle
c1=checkmv(self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+4))
if c1:
self.__board.updateboardf(mariopresent,marioprev)
#updating prev array (writing forward bacause early depends on late)
marioprev[0]=self.__board.getgrid(mariopresent[0],mariopresent[1]+2)
marioprev[1]=marioprev[3]
marioprev[2]=marioprev[4]
marioprev[3]=marioprev[5]
marioprev[4]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3)
marioprev[5]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+4)
marioprev[6]=marioprev[7]
marioprev[7]=self.__board.getgrid(mariopresent[0]+2,mariopresent[1]+3)
#updating mario
mariopresent=[mariopresent[0],mariopresent[1]+speed]
#check river
c2=checkrv(self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1),self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1))
life+=c2
self.__board.updatemario(mariopresent[0],mariopresent[1])
previnp="d"
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#if falls in river
if c2==-1:
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
#moving backward
if keyStroke=="a" and mariopresent[1]>i+6:
#checking obstacles
c1=checkmv(self.__board.getgrid(mariopresent[0]+1,mariopresent[1]-4))
if c1:
self.__board.updateboardb(mariopresent,marioprev)
#updating prev array (writing backward because later depends on early)
marioprev[7]=marioprev[6]
marioprev[6]=self.__board.getgrid(mariopresent[0]+2,mariopresent[1]-3)
marioprev[5]=marioprev[3]
marioprev[4]=marioprev[2]
marioprev[3]=marioprev[1]
marioprev[2]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]-3)
marioprev[1]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]-4)
marioprev[0]=self.__board.getgrid(mariopresent[0],mariopresent[1]-2)
#updating mario
mariopresent=[mariopresent[0],mariopresent[1]-speed]
#river check
c2=checkrv(self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1),self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1))
life+=c2
self.__board.updatemario(mariopresent[0],mariopresent[1])
previnp="a"
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#if dead
if c2==-1:
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
#jumps to height +10
if keyStroke=="w":
#moving up
timer=5
while(timer!=0):
time.sleep(.01)
#checks if can move up
c3=checkj(self.__board.getgrid(mariopresent[0]-2,mariopresent[1]+1),self.__board.getgrid(mariopresent[0]-2,mariopresent[1]-1))
if c3==-1:
djump=0
break
else:
djump=1
self.__board.updateboardbup(mariopresent,marioprev)
#updating prev array
marioprev[0]=self.__board.getgrid(mariopresent[0]-2,mariopresent[1])
marioprev[1]=self.__board.getgrid(mariopresent[0]-1,mariopresent[1]-2)
marioprev[2]=self.__board.getgrid(mariopresent[0]-1,mariopresent[1]-1)
marioprev[3]=self.__board.getgrid(mariopresent[0]-1,mariopresent[1])
marioprev[4]=self.__board.getgrid(mariopresent[0]-1,mariopresent[1]+1)
marioprev[5]=self.__board.getgrid(mariopresent[0]-1,mariopresent[1]+2)
marioprev[6]=self.__board.getgrid(mariopresent[0],mariopresent[1]-1)
marioprev[7]=self.__board.getgrid(mariopresent[0],mariopresent[1]+1)
mariopresent=[mariopresent[0]-speed,mariopresent[1]]
self.__board.updatemario(mariopresent[0],mariopresent[1])
timer-=1
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#moving right
if previnp=="d" and (mariopresent[1]+14)<(i+100):
#16 units to right
timer=8
while(timer!=0):
time.sleep(.01)
self.__board.updateboardf(mariopresent,marioprev)
#updating prev array (writing forward bacause early depends on late)
marioprev[0]=self.__board.getgrid(mariopresent[0],mariopresent[1]+2)
marioprev[1]=marioprev[3]
marioprev[2]=marioprev[4]
marioprev[3]=marioprev[5]
marioprev[4]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+3)
marioprev[5]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]+4)
marioprev[6]=marioprev[7]
marioprev[7]=self.__board.getgrid(mariopresent[0]+2,mariopresent[1]+3)
mariopresent=[mariopresent[0],mariopresent[1]+speed]
self.__board.updatemario(mariopresent[0],mariopresent[1])
timer-=1
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#moving left
if previnp=="a" and (mariopresent[1]-14)>(i+6):
#16 units to left
timer=8
while(timer!=0):
time.sleep(.01)
self.__board.updateboardb(mariopresent,marioprev)
#updating prev array (writing backward because later depends on early)
marioprev[7]=marioprev[6]
marioprev[6]=self.__board.getgrid(mariopresent[0]+2,mariopresent[1]-3)
marioprev[5]=marioprev[3]
marioprev[4]=marioprev[2]
marioprev[3]=marioprev[1]
marioprev[2]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]-3)
marioprev[1]=self.__board.getgrid(mariopresent[0]+1,mariopresent[1]-4)
marioprev[0]=self.__board.getgrid(mariopresent[0],mariopresent[1]-2)
mariopresent=[mariopresent[0],mariopresent[1]-speed]
self.__board.updatemario(mariopresent[0],mariopresent[1])
timer-=1
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#moving down
timer=4
while(timer!=0 and djump==1):
#check if it can move down
c3=checkj(self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1),self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1))
if c3==-1:
break
#surprise coins
if mariopresent[1]==75 and mariopresent[0]==23 and cjump>0:
cjump-=1
self.__board.jumpupc(24,75)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
time.sleep(.2)
self.__board.updatecell(21,75,"-")
self.__board.updatecell(22,75,"O")
score+=1
time.sleep(.06)
self.__board.updateboardbdown(mariopresent,marioprev)
#updating pre array
marioprev[0]=self.__board.getgrid(mariopresent[0]+2,mariopresent[1])
marioprev[1]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-2)
marioprev[2]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1)
marioprev[3]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1])
marioprev[4]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1)
marioprev[5]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+2)
marioprev[6]=self.__board.getgrid(mariopresent[0]+4,mariopresent[1]-1)
marioprev[7]=self.__board.getgrid(mariopresent[0]+4,mariopresent[1]+1)
mariopresent=[mariopresent[0]+speed,mariopresent[1]]
self.__board.updatemario(mariopresent[0],mariopresent[1])
timer-=1
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
previnp="w"
if keyStroke=="q":
break
#for straight jump
if keyStroke not in ["a","w","d","q","f"]:
previnp="s"
#--------------------------------------------------------------------------------------
#---------------------------keystroke independent process------------------------------
#if already climbed an object check to move it down
#whenever normal jump not there this code will be executed
while low:
#check for end flag
if self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1)=="M" and self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1)=="M" and mariopresent[0]<25:
os.system('aplay ./sounds/smb_flagpole.wav')
fi=20
while(fi!=33):
self.__board.moveflag(fi)
fi+=1
time.sleep(.03)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#to move down
temp=["-","/"]
if self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1) in temp and self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1) in temp and self.__board.getgrid(mariopresent[0]+3,mariopresent[1]) in temp:
#check for bullet power up
if mariopresent[0]==29 and mariopresent[1] in [51,215,216,217,218,219]:
self.__board.addflower(25,mariopresent[1])
#coins
if self.__board.getgrid(mariopresent[0]-1,mariopresent[1])=="O":
ts=score
score+=self.__board.jumpupc(mariopresent[0]-1,mariopresent[1])
#powerup check
p=0
if score-ts==11:
p=1
#time.sleep(0.1)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
time.sleep(0.1)
self.__board.jumpdownc(mariopresent[0]-1,mariopresent[1])
if p==1:
self.__board.powerup(mariopresent[0]-1,mariopresent[1])
#time.sleep(0.1)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
"""
c3=checkj(self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1),self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1))
if c3==-1:
break
"""
low=1
time.sleep(.06)
self.__board.updateboardbdown(mariopresent,marioprev)
#updating pre array
marioprev[0]=self.__board.getgrid(mariopresent[0]+2,mariopresent[1])
marioprev[1]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-2)
marioprev[2]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1)
marioprev[3]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1])
marioprev[4]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1)
marioprev[5]=self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+2)
marioprev[6]=self.__board.getgrid(mariopresent[0]+4,mariopresent[1]-1)
marioprev[7]=self.__board.getgrid(mariopresent[0]+4,mariopresent[1]+1)
mariopresent=[mariopresent[0]+speed,mariopresent[1]]
self.__board.updatemario(mariopresent[0],mariopresent[1])
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#kill enemy by jumping
elif self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1)=="Q" or self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1)=="Q" or self.__board.getgrid(mariopresent[0]+3,mariopresent[1])=="Q":
low=1
print("EFEFEF")
score+=20
if self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1)=="Q":
if self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-2)!="Q" and self.__board.getgrid(mariopresent[0]+3,mariopresent[1])!="Q":#enemy2 check
os.system('aplay ./sounds/smb_stomp.wav')
self.__board.cleane1a(mariopresent[1]-1,enemy1[x.index(mariopresent[1]-1),:])
#x[x.index(mariopresent[1]-1)]=-1#send back
x.remove(mariopresent[1]-1)#send back
#if enemy2 then dead
else:
life-=1
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
elif self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1)=="Q":
if self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+2)!="Q" and self.__board.getgrid(mariopresent[0]+3,mariopresent[1])!="Q":
os.system('aplay ./sounds/smb_stomp.wav')
self.__board.cleane1a(mariopresent[1]+1,enemy1[x.index(mariopresent[1]+1),:])
#x[x.index(mariopresent[1]+1)]=-1#send back
x.remove(mariopresent[1]+1)#send back
#if enemy2 then dead
else:
life-=1
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
else:
if self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1)!="Q" and self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1)!="Q":
os.system('aplay ./sounds/smb_stomp.wav')
self.__board.cleane1a(mariopresent[1],enemy1[x.index(mariopresent[1]),:])
#x[x.index(mariopresent[1])]=-1#send back
x.remove(mariopresent[1])#send back
#if enemy2 then dead
else:
life-=1
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
else:
low=0
c2=checkrv(self.__board.getgrid(mariopresent[0]+3,mariopresent[1]-1),self.__board.getgrid(mariopresent[0]+3,mariopresent[1]+1))
life+=c2
if c2==-1:
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
if 1:
#FOR SCREEN
if mariopresent[1]>(i+50):#position of mario at which screen moves
i+=20
#time.sleep(0.03)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#array of enemies
#enemies completely governed by these arrays
x,y=self.__board.searchenemy(i)
#check for powerups
if self.__board.getgrid(mariopresent[0]+2,mariopresent[1])=="P":
os.system('aplay ./sounds/smb_1-up.wav')
life+=1
self.__board.updatecell(mariopresent[0]+2,mariopresent[1],"-")
#check for flower
if marioprev[3]=='I':
os.system('aplay ./sounds/smb_powerup.wav')
marioprev[3]="-"
bullet=1
#speed increase as mario progresses
if mariopresent[1]>350:
check=.7
else:
check=1
if time.time()-loop>check:
loop=time.time()
#FOR ENEMY1
if len(x)!=0 and i+100>x[len(x)-1]>i:
for count in range(len(x)):
if mariopresent[1]<x[count]:
c1=checkmv(self.__board.getgrid(35,x[count]-3))
if c1:
self.__board.updateenemy1b(x[count],enemy1[count,:].decode())
#updating prev array
enemy1[count,3]=enemy1[count,1]
enemy1[count,2]=self.__board.getgrid(35,x[count]-2)
enemy1[count,1]=self.__board.getgrid(35,x[count]-3)
enemy1[count,0]=self.__board.getgrid(34,x[count]-2)
x[count]-=2
self.__board.updateenemy1(34,x[count])
else:
c1=checkmv(self.__board.getgrid(35,x[count]+3))
if c1:
self.__board.updateenemy1f(x[count],enemy1[count,:].decode())
#updating prev array
enemy1[count,0]=self.__board.getgrid(34,x[count]+2)
enemy1[count,1]=enemy1[count,3]
enemy1[count,2]=self.__board.getgrid(35,x[count]+2)
enemy1[count,3]=self.__board.getgrid(35,x[count]+3)
x[count]+=2
self.__board.updateenemy1(34,x[count])
time.sleep(0.03)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
if time.time()-loop2>check-0.5:
loop2=time.time()
#FOR ENEMY2
if len(y)!=0 and i+100>y[len(y)-1]>i:
for count in range(len(y)):
c1=checkmv(self.__board.getgrid(35,y[count]-2))
if c1:
self.__board.updateenemy2b(y[count],enemy2[count,:].decode())
#updating prev array
enemy2[count,4]=enemy2[count,2]
enemy2[count,3]=self.__board.getgrid(35,y[count])
enemy2[count,2]=self.__board.getgrid(35,y[count]-1)
enemy2[count,1]=self.__board.getgrid(34,y[count]-1)
enemy2[count,0]=self.__board.getgrid(34,y[count]-2)
y[count]-=2
self.__board.updateenemy2(34,y[count])
#faster
time.sleep(0.01)
os.system('clear')
self.__board.printboard(i,mariopresent[1],life,score,bullet)
#dead if in contact with enemy
if marioprev[6]=="x" or marioprev[7]=="x" or self.__board.getgrid(mariopresent[0]+1,mariopresent[1])=="Q" :
#not updating enemy prev so it shows dead location
life-=1
os.system('aplay ./sounds/smb_mariodie.wav')
screen.reset(self)
#if all lives used up
if life<=0:
os.system('clear')
os.system('aplay ./sounds/smb_gameover.wav')
print("GAME OVER ALL LIVES USED")
break
#----------------------------------------------------------------------------------------
finally:
termios.tcsetattr(sys.stdin, termios.TCSADRAIN, old_settings)
#running program
if __name__=="__main__":
x=start()
x.run()
if quit==0:
x=screen()
x.run()
| [
"[email protected]"
] | |
b1a3c8cc07fae71c627558f8887507229a139da5 | 1add595fa4a4b2ebd42e4447310a1b389f88d9fe | /aiohttp_cache/setup.py | 1e9a3bcf79880be8bf5bf2d1b016be470047d511 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | permissive | baldur/aiohttp-cache | 95a57fd71feddb3fa0423c88318ed7c2a828b3a3 | dc20cb7fb291e2eb755de1e70f356631cc0b16ac | refs/heads/master | 2020-06-18T19:18:12.889982 | 2019-07-11T15:00:24 | 2019-07-11T15:00:24 | 196,415,749 | 0 | 0 | NOASSERTION | 2019-07-11T14:59:01 | 2019-07-11T14:59:00 | null | UTF-8 | Python | false | false | 1,033 | py | import logging
from aiohttp import web
from .backends import *
from .middleware import *
from .exceptions import *
log = logging.getLogger("aiohttp")
def setup_cache(app: web.Application,
cache_type: str = "memory",
backend_config=None):
app.middlewares.append(cache_middleware)
_cache_backend = None
if cache_type.lower() == "memory":
_cache_backend = MemoryCache()
log.debug("Selected cache: {}".format(cache_type.upper()))
elif cache_type.lower() == "redis":
_redis_config = backend_config or RedisConfig()
assert isinstance(_redis_config, RedisConfig), \
"Config must be a RedisConfig object. Got: '{}'".format(type(_redis_config))
_cache_backend = RedisCache(config=_redis_config)
log.debug("Selected cache: {}".format(cache_type.upper()))
else:
raise HTTPCache("Invalid cache type selected")
app["cache"] = _cache_backend
__all__ = ("setup_cache", )
| [
"[email protected]"
] | |
7e1d3f98f9918b8c57609a3abdbe11d5430f69ca | 7f8ae468840f175a4744896986d4ec66895f08c2 | /src/logcollection/loggers.py | 7f85bc7dc7dc0ceaae168959543cf8019ea29f5d | [] | no_license | TakesxiSximada/logcollection | 1ed54554c12d12e10149d1c473cd0eab00bd1cb2 | 19028f249fe7526227f3fe11607b24812a000b5c | refs/heads/master | 2016-09-11T01:19:13.810367 | 2015-08-30T13:54:24 | 2015-08-30T13:54:24 | 29,011,707 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 438 | py | # -*- coding: utf-8 -*-
import logging
from functools import lru_cache
from lazr.delegates import delegate_to
from .interfaces import ILogger
@delegate_to(ILogger, context='_context')
class LazyLogger(object):
def __init__(self, name):
self._name = name
@property
@lru_cache()
def _context(self):
return logging.getLogger(self._name)
def getLogger(*args, **kwds):
return LazyLogger(*args, **kwds)
| [
"[email protected]"
] | |
8e8bf11e41d2a9d112c996c91aedda605b92f21a | f1a7f108df5b6aef8672844bffa9e938b72089be | /networks/pretrained_net/__init__.py | 7f64fa2a15c76b6f62f2786c1f5307871e439b73 | [] | no_license | qianqian397/Dogs_vs_Cats_TensorFlow_Keras | 1a2325793cb91cc0c0e7f4aaeb7d5e028d3f3332 | 0e40018efc5ddc9379f840978470834e472f2de0 | refs/heads/master | 2020-11-26T22:58:20.037355 | 2019-12-12T10:19:20 | 2019-12-12T10:19:20 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | from networks.pretrained_net.VGG16.VGG16 import VGG16
from networks.pretrained_net.RESNET50.ResNet50 import ResNet50
| [
"[email protected]"
] | |
deaf0d68b75d76daf2148049eed3e2be5d5008b9 | 60aa3bcf5ace0282210685e74ee8ed31debe1769 | /core/sims4/repr_utils.py | 8fe89c74f5e505a9815ce9efad0af05baaee8694 | [] | no_license | TheBreadGuy/sims4-ai-engine | 42afc79b8c02527353cc084117a4b8da900ebdb4 | 865212e841c716dc4364e0dba286f02af8d716e8 | refs/heads/master | 2023-03-16T00:57:45.672706 | 2016-05-01T17:26:01 | 2016-05-01T17:26:01 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,243 | py | from types import FrameType
import functools
import sys
def _strip_source_path(path):
for f in sys.path:
while path.startswith(f):
return path[len(f):].lstrip('\\/')
return path
class suppress_quotes(str):
__qualname__ = 'suppress_quotes'
def __str__(self):
return self
def __repr__(self):
return self
def callable_repr(func):
if isinstance(func, FrameType):
code = func.f_code
else:
if isinstance(func, functools.partial):
return 'partial({}, ...)'.format(callable_repr(func.func))
code = func.__code__
return '<{} at {}:{}>'.format(code.co_name, _strip_source_path(code.co_filename), code.co_firstlineno)
def standard_repr(obj, *args, **kwargs):
type_str = type(obj).__name__ if not isinstance(obj, str) else obj
args_str = None
if args:
args_str = [str(i) for i in args]
args_str = ', '.join(args_str)
kwargs_str = None
if kwargs:
kwargs_str = ['{}={}'.format(k, v) for (k, v) in kwargs.items()]
kwargs_str = ', '.join(sorted(kwargs_str))
if args_str and kwargs_str:
return '{}({}, {})'.format(type_str, args_str, kwargs_str)
if args_str or kwargs_str:
return '{}({})'.format(type_str, args_str or kwargs_str)
return '{}()'.format(type_str)
def standard_auto_repr(obj, missing_value_marker='?', omit_missing_attributes=True):
return object.__repr__(obj)
def standard_angle_repr(obj, *args, **kwargs):
type_str = type(obj).__name__
args_str = None
if args:
args_str = [str(i) for i in args]
args_str = ' '.join(args_str)
kwargs_str = None
if kwargs:
kwargs_str = ['{}={}'.format(k, v) for (k, v) in kwargs.items()]
kwargs_str = ' '.join(sorted(kwargs_str))
if args_str and kwargs_str:
return '<{}: {} {}>'.format(type_str, args_str, kwargs_str)
if args_str or kwargs_str:
return '<{}: {}>'.format(type_str, args_str or kwargs_str)
return '<{} at {:#010x}>'.format(type_str, id(obj))
def standard_float_tuple_repr(*floats):
return '(' + ', '.join('{:0.3f}'.format(i) for i in floats) + ')'
def standard_brief_id_repr(guid):
return '{:#018x}'.format(guid)
| [
"[email protected]"
] | |
129ec1929c1af7937079abce7452c92eea96f8e4 | 2443f23d928a6b3516f810e3dfdf6f4b72aa0325 | /st01.Python기초/py08반복문/py08_16_보초값.py | 75f7ddc86a9165bb9ee575c350e7cb0af877175b | [] | no_license | syuri7/Python20200209 | 48653898f0ce94b8852a6a43e4e806adcf8cd233 | 5f0184d9b235ce366e228b84c663a376a9957962 | refs/heads/master | 2021-01-01T10:37:59.077170 | 2020-03-15T09:15:50 | 2020-03-15T09:15:50 | 239,241,118 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 802 | py | # while문을 사용하여 합계를 구하시오.
# 무한 반복과 반목문(루프) 탈출을 결합한 예정
# 페이지 134 참고
# 무한 반복문은 조건식을 True로 하면 된다.
# 루프 탈출은 break를 사용하면 된다.
sum = 0
count = 0
print("종료하려면 음수를 입력하시오.")
while True: # 무한 루프
입력값 = input("성적을 입력하시오.")
# 정수로 변환
입력값 = int(입력값)
# 입력값이 음수이면 반복문을 종료
if 입력값 < 0:
break # 반복문을 종료
count = count+1 # 입력횟수
# 합계를 구한다.
sum = sum+입력값
# 평균값을 계산한다.
평균값 = sum/count
# 평균값을 출력한다.
str = "성적의 평규는 %s입니다." % (평균값)
print(str)
| [
"d@d"
] | d@d |
53882dc73e368f6c749d7838a985265351315fb0 | f64d8201c2e55d7631d0a03a7a51d146c7d5c761 | /00Python代码/flask_learn/10extends_block/extends_block.py | e882945721804bf0cdb4dafcb648896e538e10a1 | [] | no_license | wh-orange/CodeRecord | cd14b5ccc1760a3d71762fef596ba9ab8dac8b8c | 0e67d1dafcb2feaf90ffb55964af7a9be050e0ee | refs/heads/master | 2022-01-18T10:26:27.993210 | 2019-08-04T17:38:35 | 2019-08-04T17:38:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 283 | py | #encoding: utf-8
from flask import Flask,render_template
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/login/')
def login():
return render_template('login.html')
if __name__ == '__main__':
app.run(debug=True)
| [
"[email protected]"
] | |
c0e4444f72f861346f349b0d3e17248c24e001e7 | 6f05f7d5a67b6bb87956a22b988067ec772ba966 | /data/test/python/b12493130ac5924d0181574c0779561a13d48541admin.py | b12493130ac5924d0181574c0779561a13d48541 | [
"MIT"
] | permissive | harshp8l/deep-learning-lang-detection | 93b6d24a38081597c610ecf9b1f3b92c7d669be5 | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | refs/heads/master | 2020-04-07T18:07:00.697994 | 2018-11-29T23:21:23 | 2018-11-29T23:21:23 | 158,597,498 | 0 | 0 | MIT | 2018-11-21T19:36:42 | 2018-11-21T19:36:41 | null | UTF-8 | Python | false | false | 559 | py | from django.contrib import admin
from repositories.models import Repository, Credential
from repositories.forms import RepositoryForm, CredentialForm
class RepositoryAdmin(admin.ModelAdmin):
form = RepositoryForm
list_display = ('name', 'manager', 'endpoint')
class CredentialAdmin(admin.ModelAdmin):
form = CredentialForm
list_display = ('repository_name', 'public_key')
def repository_name(sef, obj):
return obj.repository.name
admin.site.register(Repository, RepositoryAdmin)
admin.site.register(Credential, CredentialAdmin) | [
"[email protected]"
] | |
fbefe5ee53df4789d1f34bd68a4a528e2a05ab55 | a3785b6ff7734d98af1417000cd619a59bd5a268 | /part_2_mmntv/regression/mpg/master_process.py | 5cb1a476caa23132c8799010886daa0520f3c007 | [] | no_license | SuryodayBasak/mst-final-run | bd9800744ab4fb6f0947c258ebc1be1151bc9ff2 | 2cde94af03d63f66cc3753843e4e60c92c313466 | refs/heads/master | 2022-07-01T22:40:39.003096 | 2020-05-09T04:25:18 | 2020-05-09T04:25:18 | 260,341,230 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,352 | py | import numpy as np
import data_api as da
import multiprocessing
import time
from knn import KNNRegressor, DwKNNRegressor
from sklearn.model_selection import train_test_split
from ga import GeneticAlgorithm
from sklearn.metrics import mean_squared_error as skmse
from ga_run import ga_run
from pso_run import gbest_pso_run, lbest_pso_run
from sklearn.decomposition import PCA
# Load data.
data = da.Mpg()
X, y = data.Data()
_, nFeats = np.shape(X)
# Values of parameter k to iterate over.
K_VALS = [3, 5, 7, 9, 11, 13, 15]
starttime = time.time()
# Repeat each trial 10 times.
for i in range (0, 10):
x_train, x_test, y_train, y_test = train_test_split(X, y,\
test_size=0.2)
"""
Try non-optimized methods.
"""
# Vanilla KNN.
for k in K_VALS:
reg = KNNRegressor(x_train, y_train, k)
y_pred = reg.predict(x_test)
mse_iter = skmse(y_test, y_pred)
print("xx,knn,", k,",", mse_iter)
# Distance-weighted KNN.
for k in K_VALS:
reg = DwKNNRegressor(x_train, y_train, k)
y_pred = reg.predict(x_test)
mse_iter = skmse(y_test, y_pred)
print("xx,dknn,", k,",", mse_iter)
"""
PCA with KNN.
"""
pca = PCA(n_components = 4)
pca.fit(x_train.copy())
x_train_pca = pca.transform(x_train.copy())
x_test_pca = pca.transform(x_test.copy())
# PCA + Vanilla KNN.
for k in K_VALS:
reg = KNNRegressor(x_train_pca, y_train, k)
y_pred = reg.predict(x_test_pca)
mse_iter = skmse(y_test, y_pred)
print("pca,knn,", k,",", mse_iter)
# PCA + Distance-weighted KNN.
for k in K_VALS:
reg = DwKNNRegressor(x_train_pca, y_train, k)
y_pred = reg.predict(x_test_pca)
mse_iter = skmse(y_test, y_pred)
print("pca,dknn,", k,",", mse_iter)
x_train, x_verif, y_train, y_verif = train_test_split(x_train,\
y_train,\
test_size=0.33)
"""
GA-driven methods.
"""
processes = []
# Use different values of k.
for k in K_VALS:
# Run the GA based optimization.
p = multiprocessing.Process(target = ga_run,\
args = (x_train.copy(),\
y_train.copy(),\
x_test.copy(),\
y_test.copy(),\
x_verif.copy(),\
y_verif.copy(),\
k,))
processes.append(p)
p.start()
for process in processes:
process.join()
"""
GBest_PSO-driven methods.
"""
processes = []
# Use different values of k.
for k in K_VALS:
# Run the GA based optimization.
p = multiprocessing.Process(target = gbest_pso_run,\
args = (x_train.copy(),\
y_train.copy(),\
x_test.copy(),\
y_test.copy(),\
x_verif.copy(),\
y_verif.copy(),\
k,))
processes.append(p)
p.start()
for process in processes:
process.join()
"""
LBest_PSO-driven methods.
"""
processes = []
# Use different values of k.
for k in K_VALS:
# Run the GA based optimization.
p = multiprocessing.Process(target = lbest_pso_run,\
args = (x_train.copy(),\
y_train.copy(),\
x_test.copy(),\
y_test.copy(),\
x_verif.copy(),\
y_verif.copy(),\
k,))
processes.append(p)
p.start()
for process in processes:
process.join()
print('That took {} seconds'.format(time.time() - starttime))
| [
"[email protected]"
] | |
1f1134dae9bc171e4e36131aac07200d449c4ee7 | 16303a3f6bc8fd1f2116bc3cdd22db8f5e56ae40 | /tests/common_tests/formats_tests/newick_tests.py | 60dbf5d547dd262269722ddcd8964b3dd46514f3 | [] | no_license | jelber2/paleomix | eb3ed410e925437321168710808b67cf8c029bbf | dfb7f8f9410e1e985992e7ed95adc36de7bc0353 | refs/heads/master | 2020-08-23T01:36:50.778627 | 2019-10-15T20:17:42 | 2019-10-15T20:18:00 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 24,722 | py | #!/usr/bin/python
#
# Copyright (c) 2012 Mikkel Schubert <[email protected]>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
from nose.tools import \
assert_equal, \
assert_not_equal, \
assert_raises
from paleomix.common.formats.newick import \
Newick, \
GraphError, \
NewickError, \
NewickParseError
from paleomix.common.testing import \
assert_list_equal
###############################################################################
###############################################################################
# Constructor
def test_newick__constructor__name():
node = Newick(name="AbC")
assert_equal(node.name, "AbC")
def test_newick__constructor__children_set_in_internal_nodes():
node = Newick(name="Leaf")
top_node = Newick(children=[node])
assert_equal(top_node.children, (node,))
def test_newick__constructor__children_not_set_in_leaf_nodes():
node = Newick(name="Leaf")
assert_equal(node.children, ())
def test_newick__constructor__is_leaf_true_for_leaf_nodes():
node = Newick(name="Another Leaf")
assert node.is_leaf
def test_newick__constructor__is_leaf_false_for_internal_nodes():
node = Newick(name="Leaf")
top_node = Newick(children=[node])
assert not top_node.is_leaf
def test_newick__constuctor__leaf_nodes_must_have_name_or_length():
assert_raises(NewickError, Newick, children=None)
def test_newick__constructor__internal_nodes_must_have_children():
assert_raises(NewickError, Newick, children=[])
def test_newick__constructor__children_must_be_newick():
assert_raises(TypeError, Newick, children=["A", "B"])
###############################################################################
###############################################################################
# get_leaf_nodes
def test_newick__get_leaf_nodes__leaf_returns_self():
node = Newick(name="Leaf")
assert_list_equal(node.get_leaf_nodes(), [node])
def test_newick__get_leaf_nodes__internal_node_returns_leaf_nodes():
node_a = Newick(name="Leaf A")
node_b = Newick(name="Leaf B")
top_node = Newick(children=[node_a, node_b])
assert_list_equal(top_node.get_leaf_nodes(), [node_a, node_b])
def test_newick__get_leaf_nodes__complex_case():
node_a = Newick(name="Leaf A")
node_b = Newick(name="Leaf B")
node_c = Newick(name="Leaf C")
sub_a = Newick(children=[node_b, node_c])
top_node = Newick(children=[node_a, sub_a])
assert_list_equal(top_node.get_leaf_nodes(), [node_a, node_b, node_c])
###############################################################################
###############################################################################
# get_leaf_nodes
def test_newick__get_leaf_names__leaf_returns_self():
node = Newick(name="Leaf")
assert_list_equal(node.get_leaf_names(), ["Leaf"])
def test_newick__get_leaf_names__internal_node_returns_leaf_nodes():
node_a = Newick(name="Leaf A")
node_b = Newick(name="Leaf B")
top_node = Newick(children=[node_a, node_b])
assert_list_equal(top_node.get_leaf_names(), ["Leaf A", "Leaf B"])
def test_newick__get_leaf_names__complex_case():
node_a = Newick(name="Leaf A")
node_b = Newick(name="Leaf B")
node_c = Newick(name="Leaf C")
sub_a = Newick(children=[node_b, node_c])
top_node = Newick(children=[node_a, sub_a])
assert_list_equal(top_node.get_leaf_names(), ["Leaf A", "Leaf B", "Leaf C"])
###############################################################################
###############################################################################
# reroot_on_taxa
def test_newick__reroot_on_taxa__single_taxa():
source = Newick.from_string("((A,B),C);")
expected = Newick.from_string("((B,C),A);")
assert_equal(expected, source.reroot_on_taxa("A"))
def test_newick__reroot_on_taxa__single_taxa_with_branch_lengths():
source = Newick.from_string("((A:4,B:3):2,C:1);")
expected = Newick.from_string("((B:3,C:3.0):2.0,A:2.0);")
assert_equal(expected, source.reroot_on_taxa("A"))
def test_newick__reroot_on_taxa__multiple_taxa__clade():
source = Newick.from_string("((A,(B,C)),(D,E));")
expected = Newick.from_string("(((D,E),A),(B,C));")
assert_equal(expected, source.reroot_on_taxa(("B", "C")))
def test_newick__reroot_on_taxa__multiple_taxa__paraphylogeny():
source = Newick.from_string("((B,C),((D,E),A));")
expected = Newick.from_string("(((B,C),A),(D,E));")
assert_equal(expected, source.reroot_on_taxa(("A", "C")))
def test_newick__reroot_on_taxa__no_taxa():
source = Newick.from_string("((B,C),((D,E),A));")
assert_raises(ValueError, source.reroot_on_taxa, ())
def test_newick__reroot_on_taxa__unknown_taxa():
source = Newick.from_string("((B,C),((D,E),A));")
assert_raises(ValueError, source.reroot_on_taxa, ("A", "Z"))
def test_newick__reroot_on_taxa__no_non_root_taxa():
source = Newick.from_string("((B,C),((D,E),A));")
assert_raises(ValueError, source.reroot_on_taxa, ("A", "B", "C", "D", "E"))
###############################################################################
###############################################################################
# reroot_on_midpoint
def test_newick__reroot_on_midpoint__single_node():
source = Newick.from_string("(A:3.0);")
expected = Newick.from_string("(A:3.0);")
assert_equal(expected, source.reroot_on_midpoint())
def test_newick__reroot_on_midpoint__two_nodes():
source = Newick.from_string("(A:3.0,B:8.0);")
rerooted = source.reroot_on_midpoint()
expected = Newick.from_string("(A:5.5,B:5.5);")
assert_equal(expected, rerooted)
def test_newick__reroot_on_midpoint__two_clades():
source = Newick.from_string("((A:7,B:2):1,(C:1,D:0.5):2);")
rerooted = source.reroot_on_midpoint()
expected = Newick.from_string("(((C:1,D:0.5):3.0,B:2):1.5,A:5.5);")
assert_equal(expected, rerooted)
def test_newick__reroot_on_midpoint__nested_clades():
source = Newick.from_string("((A:2,(B:2,C:3):4):1,(D:1,E:0.5):2);")
rerooted = source.reroot_on_midpoint()
expected = Newick.from_string("(((D:1,E:0.5):3.0,A:2):1.5,(B:2,C:3):2.5);")
assert_equal(expected, rerooted)
def test_newick__reroot_on_midpoint__reroot_on_internal_node():
source = Newick.from_string("((A:5.0,B:1.0)C:2.0,D:3.0);")
rerooted = source.reroot_on_midpoint()
expected = Newick.from_string("(A:5.0,B:1.0,D:5.0)C;")
assert_equal(expected, rerooted)
def test_newick__reroot_on_midpoint__invalid_branch_lengths():
def _test_invalid_branch_lengths(newick):
source = Newick.from_string(newick)
assert_raises(GraphError, source.reroot_on_midpoint)
yield _test_invalid_branch_lengths, "(A,B);" # No branch lengths
yield _test_invalid_branch_lengths, "(A:7,B);" # Length missing for leaf node
yield _test_invalid_branch_lengths, "(A:7,(B:3));" # Length missing for internal node
yield _test_invalid_branch_lengths, "(A:7,(B:3):-1);" # Negative branch length
yield _test_invalid_branch_lengths, "(A:7,B:-1);" # Negative leaf length
###############################################################################
###############################################################################
# add_support
def test_newick__add_support__no_trees():
main_tree = Newick.from_string("(((A,B),C),D);")
expected = Newick.from_string("(((A,B)0,C)0,D);")
result = main_tree.add_support([])
assert_equal(expected, result)
def test_newick__add_support__single_identical_tree():
main_tree = Newick.from_string("(((A,B),C),D);")
bootstraps = [Newick.from_string("(((A,B),C),D);")]
expected = Newick.from_string("(((A,B)1,C)1,D);")
result = main_tree.add_support(bootstraps)
assert_equal(expected, result)
def test_newick__add_support__single_identical_tree__different_rooting():
main_tree = Newick.from_string("(((A,B),C),D);")
bootstraps = [Newick.from_string("(((C,D),B),A);")]
expected = Newick.from_string("(((A,B)1,C)1,D);")
result = main_tree.add_support(bootstraps)
assert_equal(expected, result)
def test_newick__add_support__multiple_trees__different_topologies():
main_tree = Newick.from_string("(((A,B),C),D);")
bootstraps = [Newick.from_string("(((C,B),D),A);"),
Newick.from_string("(((A,D),B),C);")]
expected = Newick.from_string("(((A,B)0,C)2,D);")
result = main_tree.add_support(bootstraps)
assert_equal(expected, result)
def test_newick__add_support__multiple_trees__partially_different_topologies():
main_tree = Newick.from_string("(((A,B),C),D);")
bootstraps = [Newick.from_string("(((C,D),A),B);"),
Newick.from_string("(((A,D),B),C);")]
expected = Newick.from_string("(((A,B)1,C)2,D);")
result = main_tree.add_support(bootstraps)
assert_equal(expected, result)
def test_newick__add_support__multiple_trees__two_cladees():
main_tree = Newick.from_string("((A,B),(C,(D,E)));")
bootstraps = [Newick.from_string("((((C,E),D),A),B);"),
Newick.from_string("(((A,(C,D)),B),E);")]
expected = Newick.from_string("((A,B)1,(C,(D,E)0)1);")
result = main_tree.add_support(bootstraps)
assert_equal(expected, result)
def test_newick__add_support__differing_leaf_names():
main_tree = Newick.from_string("(((A,B),C),D);")
bootstraps = [Newick.from_string("(((C,E),B),A);")]
assert_raises(NewickError, main_tree.add_support, bootstraps)
def test_newick__add_support__formatting():
def _do_test_formatting(fmt, expected):
main_tree = Newick.from_string("(((A,B),C),D);")
bootstraps = [Newick.from_string("(((C,D),A),B);"),
Newick.from_string("(((C,B),A),D);"),
Newick.from_string("(((A,D),B),C);")]
expected = Newick.from_string(expected)
result = main_tree.add_support(bootstraps, fmt)
assert_equal(expected, result)
yield _do_test_formatting, "{Support}", "(((A,B)1,C)3,D);"
yield _do_test_formatting, "{Percentage:.0f}", "(((A,B)33,C)100,D);"
yield _do_test_formatting, "{Fraction:.2f}", "(((A,B)0.33,C)1.00,D);"
def test_newick__add_support__unique_names_required():
main_tree = Newick.from_string("(((A,B),C),A);")
bootstraps = [Newick.from_string("(((A,B),C),A);")]
assert_raises(NewickError, main_tree.add_support, bootstraps)
###############################################################################
###############################################################################
# from_string
def test_newick__parse__minimal_newick__name_only():
top_node = Newick(name="A")
assert_equal(Newick.from_string("A;"), top_node)
def test_newick__parse__single_taxa():
child_node = Newick(name="Ab")
top_node = Newick(children=[child_node])
assert_equal(Newick.from_string("(Ab);"), top_node)
def test_newick__parse__two_taxa():
child_node_1 = Newick(name="A")
child_node_2 = Newick(name="Bc")
top_node = Newick(children=[child_node_1, child_node_2])
assert_equal(Newick.from_string("(A,Bc);"), top_node)
def test_newick__parse__three_taxa():
child_node_1 = Newick(name="A")
child_node_2 = Newick(name="Bc")
child_node_3 = Newick(name="DeF")
top_node = Newick(children=[child_node_1, child_node_2, child_node_3])
assert_equal(Newick.from_string("(A,Bc,DeF);"), top_node)
def test_newick__parse__ignore_whitespace():
assert_equal(Newick.from_string("(A,B);"), Newick.from_string("(A, B);"))
def test_newick__parse__missing_semicolon():
assert_raises(NewickParseError, Newick.from_string, "()")
def test_newick__parse__subnode__single_taxa():
child_node_1 = Newick(name="A")
child_node_2a = Newick(name="B")
child_node_2 = Newick(children=[child_node_2a])
top_node = Newick(children=[child_node_1, child_node_2])
assert_equal(Newick.from_string("(A,(B));"), top_node)
def test_newick__parse__subnode__two_taxa():
child_node_1 = Newick(name="A")
child_node_2a = Newick(name="B")
child_node_2b = Newick(name="C")
child_node_2 = Newick(children=[child_node_2a, child_node_2b])
top_node = Newick(children=[child_node_1, child_node_2])
assert_equal(Newick.from_string("(A,(B,C));"), top_node)
###########################################################################
###########################################################################
# cmp - white-box, just make sure all properties are compared
def test_newick__cmp__identical():
node_a = Newick(name="A", length=13, children=[Newick(name="B")])
node_b = Newick(name="A", length=13, children=[Newick(name="B")])
assert_equal(node_a, node_b)
def test_newick__cmp__identical_for_empty_string_length():
node_a = Newick(name="A", length="", children=[Newick(name="B")])
node_b = Newick(name="A", length=None, children=[Newick(name="B")])
assert_equal(node_a, node_b)
def test_newick__cmp__identical_for_empty_string_name():
node_a = Newick(name="", length=13, children=[Newick(name="B")])
node_b = Newick(name=None, length=13, children=[Newick(name="B")])
assert_equal(node_a, node_b)
def test_newick__cmp__not_identical():
def _not_identical(node_b):
node_a = Newick(name="A", length=13, children=[Newick(name="B")])
assert_not_equal(node_a, node_b)
yield _not_identical, Newick(name="B", length=13, children=[Newick(name="B")])
yield _not_identical, Newick(name="A", length=14, children=[Newick(name="B")])
yield _not_identical, Newick(name="A", length=13, children=[])
yield _not_identical, Newick(name="A", length=13, children=[Newick(name="C")])
yield _not_identical, Newick(name="B", length=14, children=[Newick(name="C")])
###############################################################################
###############################################################################
# hash - white-box, just make sure all properties are used
def test_newick__hash__identical():
node_a = Newick(name="A", length=13, children=[Newick(name="B")])
node_b = Newick(name="A", length=13, children=[Newick(name="B")])
assert_equal(hash(node_a), hash(node_b))
def test_newick__hash__not_identical():
def _not_identical(node_b):
node_a = Newick(name="A", length=13, children=[Newick(name="B")])
assert_not_equal(hash(node_a), hash(node_b))
yield _not_identical, Newick(name="B", length=13, children=[Newick(name="B")])
yield _not_identical, Newick(name="A", length=14, children=[Newick(name="B")])
yield _not_identical, Newick(name="A", length=13, children=[])
yield _not_identical, Newick(name="A", length=13, children=[Newick(name="C")])
yield _not_identical, Newick(name="B", length=14, children=[Newick(name="C")])
def test_newick__hash__hashable():
key_a = Newick(name="A", length=13.7, children=[Newick(name="F")])
key_b = Newick(name="A", length=13.7, children=[Newick(name="F")])
assert key_b in {key_a: True}
###############################################################################
###############################################################################
# Malformed newick strings
def test_newick__malformed__unbalanced_parantheses():
assert_raises(NewickParseError, Newick.from_string, "(A,(B,C);")
def test_newick__malformed__mismatched_parantheses():
assert_raises(NewickParseError, Newick.from_string, "(A,(B,C();")
def test_newick__malformed__missing_parantheses():
assert_raises(NewickParseError, Newick.from_string, "(A,(B,C))")
def test_newick__malformed__missing_length():
assert_raises(NewickParseError, Newick.from_string, "(A:,(B,C));")
assert_raises(NewickParseError, Newick.from_string, "(A,(B:,C));")
assert_raises(NewickParseError, Newick.from_string, "(A,(B,C:));")
assert_raises(NewickParseError, Newick.from_string, "(A,(B,C):);")
assert_raises(NewickParseError, Newick.from_string, "(A,(B,C)):;")
def test_newick__malformed__multiple_lengths():
assert_raises(NewickParseError, Newick.from_string, "(A:1:2);")
###############################################################################
###############################################################################
# Implicit leafs are not supported (due to problems with ambiguiety)
def test_newick__parse__first_taxa_unnamed():
assert_raises(NewickError, Newick.from_string, "(,A);")
def test_newick__parse__second_taxa_unnamed():
assert_raises(NewickError, Newick.from_string, "(A,);")
def test_newick__parse__two_taxa_unnamed():
assert_raises(NewickError, Newick.from_string, "(,);")
def test_newick__parse__three_taxa_unnamed():
assert_raises(NewickError, Newick.from_string, "(,,);")
###############################################################################
###############################################################################
# Empty non-leaf nodes are not allowed, as their interpretation is unclear
def test_newick__parse__minimal_newick__implicit_nodes():
assert_raises(NewickParseError, Newick.from_string, "();")
def test_newick__parse__subnode__empty():
assert_raises(NewickParseError, Newick.from_string, "(A,());")
###############################################################################
###############################################################################
# The following tests are derived from the wikipedia description of the
# newick format: http://en.wikipedia.org/wiki/Newick_format#Examples
def test_newick__wikipedia_example_1():
# no nodes are named, this format is not supported here!
assert_raises(NewickError, Newick.from_string, "(,,(,));")
def test_newick__wikipedia_example_2():
# leaf nodes are named
taxa_d = Newick(name="D")
taxa_c = Newick(name="C")
taxa_sub = Newick(children=[taxa_c, taxa_d])
taxa_b = Newick(name="B")
taxa_a = Newick(name="A")
top_node = Newick(children=[taxa_a, taxa_b, taxa_sub])
assert_equal(Newick.from_string("(A,B,(C,D));"), top_node)
def test_newick__wikipedia_example_3():
# all nodes are named
taxa_d = Newick(name="D")
taxa_c = Newick(name="C")
taxa_sub = Newick(children=[taxa_c, taxa_d], name="E")
taxa_b = Newick(name="B")
taxa_a = Newick(name="A")
top_node = Newick(children=[taxa_a, taxa_b, taxa_sub], name="F")
assert_equal(Newick.from_string("(A,B,(C,D)E)F;"), top_node)
def test_newick__wikipedia_example_4():
# all but root node have a distance to parent
taxa_d = Newick(length="0.4")
taxa_c = Newick(length="0.3")
taxa_sub = Newick(children=[taxa_c, taxa_d], length="0.5")
taxa_b = Newick(length="0.2")
taxa_a = Newick(length="0.1")
top_node = Newick(children=[taxa_a, taxa_b, taxa_sub])
assert_equal(Newick.from_string("(:0.1,:0.2,(:0.3,:0.4):0.5);"), top_node)
def test_newick__wikipedia_example_5():
# all have a distance to parent
taxa_d = Newick(length="0.4")
taxa_c = Newick(length="0.3")
taxa_sub = Newick(children=[taxa_c, taxa_d], length="0.5")
taxa_b = Newick(length="0.2")
taxa_a = Newick(length="0.1")
top_node = Newick(children=[taxa_a, taxa_b, taxa_sub], length="0.0")
assert_equal(Newick.from_string("(:0.1,:0.2,(:0.3,:0.4):0.5):0.0;"), top_node)
def test_newick__wikipedia_example_6():
# distances and leaf names (popular)
taxa_d = Newick(length="0.4", name="D")
taxa_c = Newick(length="0.3", name="C")
taxa_sub = Newick(children=[taxa_c, taxa_d], length="0.5")
taxa_b = Newick(length="0.2", name="B")
taxa_a = Newick(length="0.1", name="A")
top_node = Newick(children=[taxa_a, taxa_b, taxa_sub])
assert_equal(Newick.from_string("(A:0.1,B:0.2,(C:0.3,D:0.4):0.5);"), top_node)
def test_newick__wikipedia_example_7():
# distances and all names
taxa_d = Newick(length="0.4", name="D")
taxa_c = Newick(length="0.3", name="C")
taxa_sub = Newick(children=[taxa_c, taxa_d], length="0.5", name="E")
taxa_b = Newick(length="0.2", name="B")
taxa_a = Newick(length="0.1", name="A")
top_node = Newick(children=[taxa_a, taxa_b, taxa_sub], name="F")
assert_equal(Newick.from_string("(A:0.1,B:0.2,(C:0.3,D:0.4)E:0.5)F;"), top_node)
def test_newick__wikipedia_example_8():
# a tree rooted on a leaf node (rare)
taxa_b = Newick(length="0.2", name="B")
taxa_c = Newick(length="0.3", name="C")
taxa_d = Newick(length="0.4", name="D")
node_e = Newick(length="0.5", name="E", children=[taxa_c, taxa_d])
node_f = Newick(length="0.1", name="F", children=[taxa_b, node_e])
node_a = Newick(name="A", children=[node_f])
assert_equal(Newick.from_string("((B:0.2,(C:0.3,D:0.4)E:0.5)F:0.1)A;"), node_a)
###############################################################################
###############################################################################
# str / repr
def test_newick__str__non_string_name():
node = Newick(children=[Newick(name=17, length="1.3")])
assert_equal(str(node), "(17:1.3);")
def test_newick__str__non_string_length():
node = Newick(children=[Newick(name="Foo", length=1.3)])
assert_equal(str(node), "(Foo:1.3);")
def test_newick__str__repr_equal_to_str():
node_a = Newick(name="A", length="123")
node_b = Newick(name="B", length="4567")
top_node = Newick(children=[node_a, node_b])
assert_equal(str(top_node), "(A:123,B:4567);")
def test_newick__str__single_leaf_should_not_be_followed_by_comma():
node = Newick(name="A")
top_node = Newick(children=[node])
assert_equal(str(top_node), "(A);")
def test_newick__wikipedia_examples__str_equality():
def _newick_str_input_equals_output(nwk_str):
nodes = Newick.from_string(nwk_str)
result = str(nodes)
assert_equal(result, nwk_str)
# 2. leaf nodes are named
yield _newick_str_input_equals_output, "(A,B,(C,D));"
# 3. all nodes are named
yield _newick_str_input_equals_output, "(A,B,(C,D)E)F;"
# 4. all but root node have a distance to parent
yield _newick_str_input_equals_output, "(:0.1,:0.2,(:0.3,:0.4):0.5);"
# 5. all have a distance to parent
yield _newick_str_input_equals_output, "(:0.1,:0.2,(:0.3,:0.4):0.5):0.0;"
# 6. distances and leaf names (popular)
yield _newick_str_input_equals_output, "(A:0.1,B:0.2,(C:0.3,D:0.4):0.5);"
# 7. distances and all names
yield _newick_str_input_equals_output, "(A:0.1,B:0.2,(C:0.3,D:0.4)E:0.5)F;"
###############################################################################
###############################################################################
# Immutability
def test_newick__properties_are_immutable():
def _test_newick__properties_are_immutable(name, value):
node = Newick(name="A", length=3, children=[Newick(name="B")])
assert_raises(NotImplementedError, setattr, node, name, value)
yield _test_newick__properties_are_immutable, "name", "foo"
yield _test_newick__properties_are_immutable, "length", "13"
yield _test_newick__properties_are_immutable, "children", []
yield _test_newick__properties_are_immutable, "foobar", True
def test_newick__properties_cannot_be_deleted():
def _test_newick__properties_cannot_be_deleted(name):
node = Newick(name="A", length=3, children=[Newick(name="B")])
assert_raises(NotImplementedError, delattr, node, name)
yield _test_newick__properties_cannot_be_deleted, "name"
yield _test_newick__properties_cannot_be_deleted, "length"
yield _test_newick__properties_cannot_be_deleted, "children"
yield _test_newick__properties_cannot_be_deleted, "foobar"
| [
"[email protected]"
] | |
2c6c4264cb594c4bc7ecaa40e5d99619f2ca30cf | eee6dd18897d3118f41cb5e6f93f830e06fbfe2f | /venv/lib/python3.6/site-packages/pip/_vendor/distlib/metadata.py | 69ef29eb16fc38a48ed43e07359abac03efebd73 | [] | no_license | georgeosodo/ml | 2148ecd192ce3d9750951715c9f2bfe041df056a | 48fba92263e9295e9e14697ec00dca35c94d0af0 | refs/heads/master | 2020-03-14T11:39:58.475364 | 2018-04-30T13:13:01 | 2018-04-30T13:13:01 | 131,595,044 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 40,001 | py | # -*- coding: utf-8 -*-
#
# Copyright (C) 2012 The Python Software Foundation.
# See LICENSE.txt and CONTRIBUTORS.txt.
#
"""Implementation of the Metadata for Python packages PEPs.
Supports all metadata formats (1.0, 1.1, 1.2, and 2.0 experimental).
"""
import codecs
from email import message_from_file
import json
import logging
import re
from . import DistlibException, __version__
from .compat import StringIO, string_types, text_type
from .markers import interpret
from .util import extract_by_key, get_extras
from .version import get_scheme, PEP440_VERSION_RE
logger = logging.getLogger(__name__)
class MetadataMissingError(DistlibException):
"""A required metadata is missing"""
class MetadataConflictError(DistlibException):
"""Attempt to read or write metadata fields that are conflictual."""
class MetadataUnrecognizedVersionError(DistlibException):
"""Unknown metadata version number."""
class MetadataInvalidError(DistlibException):
"""A metadata value is invalid"""
# public API of this module
__all__ = ['Metadata', 'PKG_INFO_ENCODING', 'PKG_INFO_PREFERRED_VERSION']
# Encoding used for the PKG-INFO files
PKG_INFO_ENCODING = 'utf-8'
# preferred version. Hopefully will be changed
# to 1.2 once PEP 345 is supported everywhere
PKG_INFO_PREFERRED_VERSION = '1.1'
_LINE_PREFIX_1_2 = re.compile('\n \\|')
_LINE_PREFIX_PRE_1_2 = re.compile('\n ')
_241_FIELDS = ('Metadata-Version', 'Name', 'Version', 'Platform',
'Summary', 'Description',
'Keywords', 'Home-page', 'Author', 'Author-email',
'License')
_314_FIELDS = ('Metadata-Version', 'Name', 'Version', 'Platform',
'Supported-Platform', 'Summary', 'Description',
'Keywords', 'Home-page', 'Author', 'Author-email',
'License', 'Classifier', 'Download-URL', 'Obsoletes',
'Provides', 'Requires')
_314_MARKERS = ('Obsoletes', 'Provides', 'Requires', 'Classifier',
'Download-URL')
_345_FIELDS = ('Metadata-Version', 'Name', 'Version', 'Platform',
'Supported-Platform', 'Summary', 'Description',
'Keywords', 'Home-page', 'Author', 'Author-email',
'Maintainer', 'Maintainer-email', 'License',
'Classifier', 'Download-URL', 'Obsoletes-Dist',
'Project-URL', 'Provides-Dist', 'Requires-Dist',
'Requires-Python', 'Requires-External')
_345_MARKERS = ('Provides-Dist', 'Requires-Dist', 'Requires-Python',
'Obsoletes-Dist', 'Requires-External', 'Maintainer',
'Maintainer-email', 'Project-URL')
_426_FIELDS = ('Metadata-Version', 'Name', 'Version', 'Platform',
'Supported-Platform', 'Summary', 'Description',
'Keywords', 'Home-page', 'Author', 'Author-email',
'Maintainer', 'Maintainer-email', 'License',
'Classifier', 'Download-URL', 'Obsoletes-Dist',
'Project-URL', 'Provides-Dist', 'Requires-Dist',
'Requires-Python', 'Requires-External', 'Private-Version',
'Obsoleted-By', 'Setup-Requires-Dist', 'Extension',
'Provides-Extra')
_426_MARKERS = ('Private-Version', 'Provides-Extra', 'Obsoleted-By',
'Setup-Requires-Dist', 'Extension')
_566_FIELDS = _426_FIELDS + ('Description-Content-Type',)
_566_MARKERS = ('Description-Content-Type',)
_ALL_FIELDS = set()
_ALL_FIELDS.update(_241_FIELDS)
_ALL_FIELDS.update(_314_FIELDS)
_ALL_FIELDS.update(_345_FIELDS)
_ALL_FIELDS.update(_426_FIELDS)
_ALL_FIELDS.update(_566_FIELDS)
EXTRA_RE = re.compile(r'''extra\s*==\s*("([^"]+)"|'([^']+)')''')
def _version2fieldlist(version):
if version == '1.0':
return _241_FIELDS
elif version == '1.1':
return _314_FIELDS
elif version == '1.2':
return _345_FIELDS
elif version in ('1.3', '2.1'):
return _345_FIELDS + _566_FIELDS
elif version == '2.0':
return _426_FIELDS
raise MetadataUnrecognizedVersionError(version)
def _best_version(fields):
"""Detect the best version depending on the fields used."""
def _has_marker(keys, markers):
for marker in markers:
if marker in keys:
return True
return False
keys = []
for key, value in list(fields.items()):
if value in ([], 'UNKNOWN', None):
continue
keys.append(key)
possible_versions = ['1.0', '1.1', '1.2', '1.3', '2.0', '2.1']
# first let's try to see if a field is not part of one of the version
for key in keys:
if key not in _241_FIELDS and '1.0' in possible_versions:
possible_versions.remove('1.0')
logger.debug('Removed 1.0 due to %s', key)
if key not in _314_FIELDS and '1.1' in possible_versions:
possible_versions.remove('1.1')
logger.debug('Removed 1.1 due to %s', key)
if key not in _345_FIELDS and '1.2' in possible_versions:
possible_versions.remove('1.2')
logger.debug('Removed 1.2 due to %s', key)
if key not in _566_FIELDS and '1.3' in possible_versions:
possible_versions.remove('1.3')
logger.debug('Removed 1.3 due to %s', key)
if key not in _566_FIELDS and '2.1' in possible_versions:
if key != 'Description': # In 2.1, description allowed after headers
possible_versions.remove('2.1')
logger.debug('Removed 2.1 due to %s', key)
if key not in _426_FIELDS and '2.0' in possible_versions:
possible_versions.remove('2.0')
logger.debug('Removed 2.0 due to %s', key)
# possible_version contains qualified versions
if len(possible_versions) == 1:
return possible_versions[0] # found !
elif len(possible_versions) == 0:
logger.debug('Out of options - unknown metadata set: %s', fields)
raise MetadataConflictError('Unknown metadata set')
# let's see if one unique marker is found
is_1_1 = '1.1' in possible_versions and _has_marker(keys, _314_MARKERS)
is_1_2 = '1.2' in possible_versions and _has_marker(keys, _345_MARKERS)
is_2_1 = '2.1' in possible_versions and _has_marker(keys, _566_MARKERS)
is_2_0 = '2.0' in possible_versions and _has_marker(keys, _426_MARKERS)
if int(is_1_1) + int(is_1_2) + int(is_2_1) + int(is_2_0) > 1:
raise MetadataConflictError('You used incompatible 1.1/1.2/2.0/2.1 fields')
# we have the choice, 1.0, or 1.2, or 2.0
# - 1.0 has a broken Summary field but works with all tools
# - 1.1 is to avoid
# - 1.2 fixes Summary but has little adoption
# - 2.0 adds more features and is very new
if not is_1_1 and not is_1_2 and not is_2_1 and not is_2_0:
# we couldn't find any specific marker
if PKG_INFO_PREFERRED_VERSION in possible_versions:
return PKG_INFO_PREFERRED_VERSION
if is_1_1:
return '1.1'
if is_1_2:
return '1.2'
if is_2_1:
return '2.1'
return '2.0'
_ATTR2FIELD = {
'metadata_version': 'Metadata-Version',
'name': 'Name',
'version': 'Version',
'platform': 'Platform',
'supported_platform': 'Supported-Platform',
'summary': 'Summary',
'description': 'Description',
'keywords': 'Keywords',
'home_page': 'Home-page',
'author': 'Author',
'author_email': 'Author-email',
'maintainer': 'Maintainer',
'maintainer_email': 'Maintainer-email',
'license': 'License',
'classifier': 'Classifier',
'download_url': 'Download-URL',
'obsoletes_dist': 'Obsoletes-Dist',
'provides_dist': 'Provides-Dist',
'requires_dist': 'Requires-Dist',
'setup_requires_dist': 'Setup-Requires-Dist',
'requires_python': 'Requires-Python',
'requires_external': 'Requires-External',
'requires': 'Requires',
'provides': 'Provides',
'obsoletes': 'Obsoletes',
'project_url': 'Project-URL',
'private_version': 'Private-Version',
'obsoleted_by': 'Obsoleted-By',
'extension': 'Extension',
'provides_extra': 'Provides-Extra',
}
_PREDICATE_FIELDS = ('Requires-Dist', 'Obsoletes-Dist', 'Provides-Dist')
_VERSIONS_FIELDS = ('Requires-Python',)
_VERSION_FIELDS = ('Version',)
_LISTFIELDS = ('Platform', 'Classifier', 'Obsoletes',
'Requires', 'Provides', 'Obsoletes-Dist',
'Provides-Dist', 'Requires-Dist', 'Requires-External',
'Project-URL', 'Supported-Platform', 'Setup-Requires-Dist',
'Provides-Extra', 'Extension')
_LISTTUPLEFIELDS = ('Project-URL',)
_ELEMENTSFIELD = ('Keywords',)
_UNICODEFIELDS = ('Author', 'Maintainer', 'Summary', 'Description')
_MISSING = object()
_FILESAFE = re.compile('[^A-Za-z0-9.]+')
def _get_name_and_version(name, version, for_filename=False):
"""Return the distribution name with version.
If for_filename is true, return a filename-escaped form."""
if for_filename:
# For both name and version any runs of non-alphanumeric or '.'
# characters are replaced with a single '-'. Additionally any
# spaces in the version string become '.'
name = _FILESAFE.sub('-', name)
version = _FILESAFE.sub('-', version.replace(' ', '.'))
return '%s-%s' % (name, version)
class LegacyMetadata(object):
"""The legacy metadata of a release.
Supports versions 1.0, 1.1 and 1.2 (auto-detected). You can
instantiate the class with one of these arguments (or none):
- *path*, the path to a metadata file
- *fileobj* give a file-like object with metadata as content
- *mapping* is a dict-like object
- *scheme* is a version scheme name
"""
# TODO document the mapping API and UNKNOWN default key
def __init__(self, path=None, fileobj=None, mapping=None,
scheme='default'):
if [path, fileobj, mapping].count(None) < 2:
raise TypeError('path, fileobj and mapping are exclusive')
self._fields = {}
self.requires_files = []
self._dependencies = None
self.scheme = scheme
if path is not None:
self.read(path)
elif fileobj is not None:
self.read_file(fileobj)
elif mapping is not None:
self.update(mapping)
self.set_metadata_version()
def set_metadata_version(self):
self._fields['Metadata-Version'] = _best_version(self._fields)
def _write_field(self, fileobj, name, value):
fileobj.write('%s: %s\n' % (name, value))
def __getitem__(self, name):
return self.get(name)
def __setitem__(self, name, value):
return self.set(name, value)
def __delitem__(self, name):
field_name = self._convert_name(name)
try:
del self._fields[field_name]
except KeyError:
raise KeyError(name)
def __contains__(self, name):
return (name in self._fields or
self._convert_name(name) in self._fields)
def _convert_name(self, name):
if name in _ALL_FIELDS:
return name
name = name.replace('-', '_').lower()
return _ATTR2FIELD.get(name, name)
def _default_value(self, name):
if name in _LISTFIELDS or name in _ELEMENTSFIELD:
return []
return 'UNKNOWN'
def _remove_line_prefix(self, value):
if self.metadata_version in ('1.0', '1.1'):
return _LINE_PREFIX_PRE_1_2.sub('\n', value)
else:
return _LINE_PREFIX_1_2.sub('\n', value)
def __getattr__(self, name):
if name in _ATTR2FIELD:
return self[name]
raise AttributeError(name)
#
# Public API
#
# dependencies = property(_get_dependencies, _set_dependencies)
def get_fullname(self, filesafe=False):
"""Return the distribution name with version.
If filesafe is true, return a filename-escaped form."""
return _get_name_and_version(self['Name'], self['Version'], filesafe)
def is_field(self, name):
"""return True if name is a valid metadata key"""
name = self._convert_name(name)
return name in _ALL_FIELDS
def is_multi_field(self, name):
name = self._convert_name(name)
return name in _LISTFIELDS
def read(self, filepath):
"""Read the metadata values from a file path."""
fp = codecs.open(filepath, 'r', encoding='utf-8')
try:
self.read_file(fp)
finally:
fp.close()
def read_file(self, fileob):
"""Read the metadata values from a file object."""
msg = message_from_file(fileob)
self._fields['Metadata-Version'] = msg['metadata-version']
# When reading, get all the fields we can
for field in _ALL_FIELDS:
if field not in msg:
continue
if field in _LISTFIELDS:
# we can have multiple lines
values = msg.get_all(field)
if field in _LISTTUPLEFIELDS and values is not None:
values = [tuple(value.split(',')) for value in values]
self.set(field, values)
else:
# single line
value = msg[field]
if value is not None and value != 'UNKNOWN':
self.set(field, value)
logger.debug('Attempting to set metadata for %s', self)
self.set_metadata_version()
def write(self, filepath, skip_unknown=False):
"""Write the metadata fields to filepath."""
fp = codecs.open(filepath, 'w', encoding='utf-8')
try:
self.write_file(fp, skip_unknown)
finally:
fp.close()
def write_file(self, fileobject, skip_unknown=False):
"""Write the PKG-INFO format data to a file object."""
self.set_metadata_version()
for field in _version2fieldlist(self['Metadata-Version']):
values = self.get(field)
if skip_unknown and values in ('UNKNOWN', [], ['UNKNOWN']):
continue
if field in _ELEMENTSFIELD:
self._write_field(fileobject, field, ','.join(values))
continue
if field not in _LISTFIELDS:
if field == 'Description':
if self.metadata_version in ('1.0', '1.1'):
values = values.replace('\n', '\n ')
else:
values = values.replace('\n', '\n |')
values = [values]
if field in _LISTTUPLEFIELDS:
values = [','.join(value) for value in values]
for value in values:
self._write_field(fileobject, field, value)
def update(self, other=None, **kwargs):
"""Set metadata values from the given iterable `other` and kwargs.
Behavior is like `dict.update`: If `other` has a ``keys`` method,
they are looped over and ``self[key]`` is assigned ``other[key]``.
Else, ``other`` is an iterable of ``(key, value)`` iterables.
Keys that don't match a metadata field or that have an empty value are
dropped.
"""
def _set(key, value):
if key in _ATTR2FIELD and value:
self.set(self._convert_name(key), value)
if not other:
# other is None or empty container
pass
elif hasattr(other, 'keys'):
for k in list(other.keys()):
_set(k, other[k])
else:
for k, v in other:
_set(k, v)
if kwargs:
for k, v in list(kwargs.items()):
_set(k, v)
def set(self, name, value):
"""Control then set a metadata field."""
name = self._convert_name(name)
if ((name in _ELEMENTSFIELD or name == 'Platform') and
not isinstance(value, (list, tuple))):
if isinstance(value, string_types):
value = [v.strip() for v in value.split(',')]
else:
value = []
elif (name in _LISTFIELDS and
not isinstance(value, (list, tuple))):
if isinstance(value, string_types):
value = [value]
else:
value = []
if logger.isEnabledFor(logging.WARNING):
project_name = self['Name']
scheme = get_scheme(self.scheme)
if name in _PREDICATE_FIELDS and value is not None:
for v in value:
# check that the values are valid
if not scheme.is_valid_matcher(v.split(';')[0]):
logger.warning(
"'%s': '%s' is not valid (field '%s')",
project_name, v, name)
# FIXME this rejects UNKNOWN, is that right?
elif name in _VERSIONS_FIELDS and value is not None:
if not scheme.is_valid_constraint_list(value):
logger.warning("'%s': '%s' is not a valid version (field '%s')",
project_name, value, name)
elif name in _VERSION_FIELDS and value is not None:
if not scheme.is_valid_version(value):
logger.warning("'%s': '%s' is not a valid version (field '%s')",
project_name, value, name)
if name in _UNICODEFIELDS:
if name == 'Description':
value = self._remove_line_prefix(value)
self._fields[name] = value
def get(self, name, default=_MISSING):
"""Get a metadata field."""
name = self._convert_name(name)
if name not in self._fields:
if default is _MISSING:
default = self._default_value(name)
return default
if name in _UNICODEFIELDS:
value = self._fields[name]
return value
elif name in _LISTFIELDS:
value = self._fields[name]
if value is None:
return []
res = []
for val in value:
if name not in _LISTTUPLEFIELDS:
res.append(val)
else:
# That's for Project-URL
res.append((val[0], val[1]))
return res
elif name in _ELEMENTSFIELD:
value = self._fields[name]
if isinstance(value, string_types):
return value.split(',')
return self._fields[name]
def check(self, strict=False):
"""Check if the metadata is compliant. If strict is True then raise if
no Name or Version are provided"""
self.set_metadata_version()
# XXX should check the versions (if the file was loaded)
missing, warnings = [], []
for attr in ('Name', 'Version'): # required by PEP 345
if attr not in self:
missing.append(attr)
if strict and missing != []:
msg = 'missing required metadata: %s' % ', '.join(missing)
raise MetadataMissingError(msg)
for attr in ('Home-page', 'Author'):
if attr not in self:
missing.append(attr)
# checking metadata 1.2 (XXX needs to check 1.1, 1.0)
if self['Metadata-Version'] != '1.2':
return missing, warnings
scheme = get_scheme(self.scheme)
def are_valid_constraints(value):
for v in value:
if not scheme.is_valid_matcher(v.split(';')[0]):
return False
return True
for fields, controller in ((_PREDICATE_FIELDS, are_valid_constraints),
(_VERSIONS_FIELDS,
scheme.is_valid_constraint_list),
(_VERSION_FIELDS,
scheme.is_valid_version)):
for field in fields:
value = self.get(field, None)
if value is not None and not controller(value):
warnings.append("Wrong value for '%s': %s" % (field, value))
return missing, warnings
def todict(self, skip_missing=False):
"""Return fields as a dict.
Field names will be converted to use the underscore-lowercase style
instead of hyphen-mixed case (i.e. home_page instead of Home-page).
"""
self.set_metadata_version()
mapping_1_0 = (
('metadata_version', 'Metadata-Version'),
('name', 'Name'),
('version', 'Version'),
('summary', 'Summary'),
('home_page', 'Home-page'),
('author', 'Author'),
('author_email', 'Author-email'),
('license', 'License'),
('description', 'Description'),
('keywords', 'Keywords'),
('platform', 'Platform'),
('classifiers', 'Classifier'),
('download_url', 'Download-URL'),
)
data = {}
for key, field_name in mapping_1_0:
if not skip_missing or field_name in self._fields:
data[key] = self[field_name]
if self['Metadata-Version'] == '1.2':
mapping_1_2 = (
('requires_dist', 'Requires-Dist'),
('requires_python', 'Requires-Python'),
('requires_external', 'Requires-External'),
('provides_dist', 'Provides-Dist'),
('obsoletes_dist', 'Obsoletes-Dist'),
('project_url', 'Project-URL'),
('maintainer', 'Maintainer'),
('maintainer_email', 'Maintainer-email'),
)
for key, field_name in mapping_1_2:
if not skip_missing or field_name in self._fields:
if key != 'project_url':
data[key] = self[field_name]
else:
data[key] = [','.join(u) for u in self[field_name]]
elif self['Metadata-Version'] == '1.1':
mapping_1_1 = (
('provides', 'Provides'),
('requires', 'Requires'),
('obsoletes', 'Obsoletes'),
)
for key, field_name in mapping_1_1:
if not skip_missing or field_name in self._fields:
data[key] = self[field_name]
return data
def add_requirements(self, requirements):
if self['Metadata-Version'] == '1.1':
# we can't have 1.1 metadata *and* Setuptools requires
for field in ('Obsoletes', 'Requires', 'Provides'):
if field in self:
del self[field]
self['Requires-Dist'] += requirements
# Mapping API
# TODO could add iter* variants
def keys(self):
return list(_version2fieldlist(self['Metadata-Version']))
def __iter__(self):
for key in list(self.keys()):
yield key
def values(self):
return [self[key] for key in list(self.keys())]
def items(self):
return [(key, self[key]) for key in list(self.keys())]
def __repr__(self):
return '<%s %s %s>' % (self.__class__.__name__, self.name,
self.version)
METADATA_FILENAME = 'pydist.json'
WHEEL_METADATA_FILENAME = 'metadata.json'
class Metadata(object):
"""
The metadata of a release. This implementation uses 2.0 (JSON)
metadata where possible. If not possible, it wraps a LegacyMetadata
instance which handles the key-value metadata format.
"""
METADATA_VERSION_MATCHER = re.compile(r'^\d+(\.\d+)*$')
NAME_MATCHER = re.compile('^[0-9A-Z]([0-9A-Z_.-]*[0-9A-Z])?$', re.I)
VERSION_MATCHER = PEP440_VERSION_RE
SUMMARY_MATCHER = re.compile('.{1,2047}')
METADATA_VERSION = '2.0'
GENERATOR = 'distlib (%s)' % __version__
MANDATORY_KEYS = {
'name': (),
'version': (),
'summary': ('legacy',),
}
INDEX_KEYS = ('name version license summary description author '
'author_email keywords platform home_page classifiers '
'download_url')
DEPENDENCY_KEYS = ('extras run_requires test_requires build_requires '
'dev_requires provides meta_requires obsoleted_by '
'supports_environments')
SYNTAX_VALIDATORS = {
'metadata_version': (METADATA_VERSION_MATCHER, ()),
'name': (NAME_MATCHER, ('legacy',)),
'version': (VERSION_MATCHER, ('legacy',)),
'summary': (SUMMARY_MATCHER, ('legacy',)),
}
__slots__ = ('_legacy', '_data', 'scheme')
def __init__(self, path=None, fileobj=None, mapping=None,
scheme='default'):
if [path, fileobj, mapping].count(None) < 2:
raise TypeError('path, fileobj and mapping are exclusive')
self._legacy = None
self._data = None
self.scheme = scheme
#import pdb; pdb.set_trace()
if mapping is not None:
try:
self._validate_mapping(mapping, scheme)
self._data = mapping
except MetadataUnrecognizedVersionError:
self._legacy = LegacyMetadata(mapping=mapping, scheme=scheme)
self.validate()
else:
data = None
if path:
with open(path, 'rb') as f:
data = f.read()
elif fileobj:
data = fileobj.read()
if data is None:
# Initialised with no args - to be added
self._data = {
'metadata_version': self.METADATA_VERSION,
'generator': self.GENERATOR,
}
else:
if not isinstance(data, text_type):
data = data.decode('utf-8')
try:
self._data = json.loads(data)
self._validate_mapping(self._data, scheme)
except ValueError:
# Note: MetadataUnrecognizedVersionError does not
# inherit from ValueError (it's a DistlibException,
# which should not inherit from ValueError).
# The ValueError comes from the json.load - if that
# succeeds and we get a validation error, we want
# that to propagate
self._legacy = LegacyMetadata(fileobj=StringIO(data),
scheme=scheme)
self.validate()
common_keys = set(('name', 'version', 'license', 'keywords', 'summary'))
none_list = (None, list)
none_dict = (None, dict)
mapped_keys = {
'run_requires': ('Requires-Dist', list),
'build_requires': ('Setup-Requires-Dist', list),
'dev_requires': none_list,
'test_requires': none_list,
'meta_requires': none_list,
'extras': ('Provides-Extra', list),
'modules': none_list,
'namespaces': none_list,
'exports': none_dict,
'commands': none_dict,
'classifiers': ('Classifier', list),
'source_url': ('Download-URL', None),
'metadata_version': ('Metadata-Version', None),
}
del none_list, none_dict
def __getattribute__(self, key):
common = object.__getattribute__(self, 'common_keys')
mapped = object.__getattribute__(self, 'mapped_keys')
if key in mapped:
lk, maker = mapped[key]
if self._legacy:
if lk is None:
result = None if maker is None else maker()
else:
result = self._legacy.get(lk)
else:
value = None if maker is None else maker()
if key not in ('commands', 'exports', 'modules', 'namespaces',
'classifiers'):
result = self._data.get(key, value)
else:
# special cases for PEP 459
sentinel = object()
result = sentinel
d = self._data.get('extensions')
if d:
if key == 'commands':
result = d.get('python.commands', value)
elif key == 'classifiers':
d = d.get('python.details')
if d:
result = d.get(key, value)
else:
d = d.get('python.exports')
if not d:
d = self._data.get('python.exports')
if d:
result = d.get(key, value)
if result is sentinel:
result = value
elif key not in common:
result = object.__getattribute__(self, key)
elif self._legacy:
result = self._legacy.get(key)
else:
result = self._data.get(key)
return result
def _validate_value(self, key, value, scheme=None):
if key in self.SYNTAX_VALIDATORS:
pattern, exclusions = self.SYNTAX_VALIDATORS[key]
if (scheme or self.scheme) not in exclusions:
m = pattern.match(value)
if not m:
raise MetadataInvalidError("'%s' is an invalid value for "
"the '%s' property" % (value,
key))
def __setattr__(self, key, value):
self._validate_value(key, value)
common = object.__getattribute__(self, 'common_keys')
mapped = object.__getattribute__(self, 'mapped_keys')
if key in mapped:
lk, _ = mapped[key]
if self._legacy:
if lk is None:
raise NotImplementedError
self._legacy[lk] = value
elif key not in ('commands', 'exports', 'modules', 'namespaces',
'classifiers'):
self._data[key] = value
else:
# special cases for PEP 459
d = self._data.setdefault('extensions', {})
if key == 'commands':
d['python.commands'] = value
elif key == 'classifiers':
d = d.setdefault('python.details', {})
d[key] = value
else:
d = d.setdefault('python.exports', {})
d[key] = value
elif key not in common:
object.__setattr__(self, key, value)
else:
if key == 'keywords':
if isinstance(value, string_types):
value = value.strip()
if value:
value = value.split()
else:
value = []
if self._legacy:
self._legacy[key] = value
else:
self._data[key] = value
@property
def name_and_version(self):
return _get_name_and_version(self.name, self.version, True)
@property
def provides(self):
if self._legacy:
result = self._legacy['Provides-Dist']
else:
result = self._data.setdefault('provides', [])
s = '%s (%s)' % (self.name, self.version)
if s not in result:
result.append(s)
return result
@provides.setter
def provides(self, value):
if self._legacy:
self._legacy['Provides-Dist'] = value
else:
self._data['provides'] = value
def get_requirements(self, reqts, extras=None, env=None):
"""
Base method to get dependencies, given a set of extras
to satisfy and an optional environment context.
:param reqts: A list of sometimes-wanted dependencies,
perhaps dependent on extras and environment.
:param extras: A list of optional components being requested.
:param env: An optional environment for marker evaluation.
"""
if self._legacy:
result = reqts
else:
result = []
extras = get_extras(extras or [], self.extras)
for d in reqts:
if 'extra' not in d and 'environment' not in d:
# unconditional
include = True
else:
if 'extra' not in d:
# Not extra-dependent - only environment-dependent
include = True
else:
include = d.get('extra') in extras
if include:
# Not excluded because of extras, check environment
marker = d.get('environment')
if marker:
include = interpret(marker, env)
if include:
result.extend(d['requires'])
for key in ('build', 'dev', 'test'):
e = ':%s:' % key
if e in extras:
extras.remove(e)
# A recursive call, but it should terminate since 'test'
# has been removed from the extras
reqts = self._data.get('%s_requires' % key, [])
result.extend(self.get_requirements(reqts, extras=extras,
env=env))
return result
@property
def dictionary(self):
if self._legacy:
return self._from_legacy()
return self._data
@property
def dependencies(self):
if self._legacy:
raise NotImplementedError
else:
return extract_by_key(self._data, self.DEPENDENCY_KEYS)
@dependencies.setter
def dependencies(self, value):
if self._legacy:
raise NotImplementedError
else:
self._data.update(value)
def _validate_mapping(self, mapping, scheme):
if mapping.get('metadata_version') != self.METADATA_VERSION:
raise MetadataUnrecognizedVersionError()
missing = []
for key, exclusions in list(self.MANDATORY_KEYS.items()):
if key not in mapping:
if scheme not in exclusions:
missing.append(key)
if missing:
msg = 'Missing metadata items: %s' % ', '.join(missing)
raise MetadataMissingError(msg)
for k, v in list(mapping.items()):
self._validate_value(k, v, scheme)
def validate(self):
if self._legacy:
missing, warnings = self._legacy.check(True)
if missing or warnings:
logger.warning('Metadata: missing: %s, warnings: %s',
missing, warnings)
else:
self._validate_mapping(self._data, self.scheme)
def todict(self):
if self._legacy:
return self._legacy.todict(True)
else:
result = extract_by_key(self._data, self.INDEX_KEYS)
return result
def _from_legacy(self):
assert self._legacy and not self._data
result = {
'metadata_version': self.METADATA_VERSION,
'generator': self.GENERATOR,
}
lmd = self._legacy.todict(True) # skip missing ones
for k in ('name', 'version', 'license', 'summary', 'description',
'classifier'):
if k in lmd:
if k == 'classifier':
nk = 'classifiers'
else:
nk = k
result[nk] = lmd[k]
kw = lmd.get('Keywords', [])
if kw == ['']:
kw = []
result['keywords'] = kw
keys = (('requires_dist', 'run_requires'),
('setup_requires_dist', 'build_requires'))
for ok, nk in keys:
if ok in lmd and lmd[ok]:
result[nk] = [{'requires': lmd[ok]}]
result['provides'] = self.provides
author = {}
maintainer = {}
return result
LEGACY_MAPPING = {
'name': 'Name',
'version': 'Version',
'license': 'License',
'summary': 'Summary',
'description': 'Description',
'classifiers': 'Classifier',
}
def _to_legacy(self):
def process_entries(entries):
reqts = set()
for e in entries:
extra = e.get('extra')
env = e.get('environment')
rlist = e['requires']
for r in rlist:
if not env and not extra:
reqts.add(r)
else:
marker = ''
if extra:
marker = 'extra == "%s"' % extra
if env:
if marker:
marker = '(%s) and %s' % (env, marker)
else:
marker = env
reqts.add(';'.join((r, marker)))
return reqts
assert self._data and not self._legacy
result = LegacyMetadata()
nmd = self._data
for nk, ok in list(self.LEGACY_MAPPING.items()):
if nk in nmd:
result[ok] = nmd[nk]
r1 = process_entries(self.run_requires + self.meta_requires)
r2 = process_entries(self.build_requires + self.dev_requires)
if self.extras:
result['Provides-Extra'] = sorted(self.extras)
result['Requires-Dist'] = sorted(r1)
result['Setup-Requires-Dist'] = sorted(r2)
# TODO: other fields such as contacts
return result
def write(self, path=None, fileobj=None, legacy=False, skip_unknown=True):
if [path, fileobj].count(None) != 1:
raise ValueError('Exactly one of path and fileobj is needed')
self.validate()
if legacy:
if self._legacy:
legacy_md = self._legacy
else:
legacy_md = self._to_legacy()
if path:
legacy_md.write(path, skip_unknown=skip_unknown)
else:
legacy_md.write_file(fileobj, skip_unknown=skip_unknown)
else:
if self._legacy:
d = self._from_legacy()
else:
d = self._data
if fileobj:
json.dump(d, fileobj, ensure_ascii=True, indent=2,
sort_keys=True)
else:
with codecs.open(path, 'w', 'utf-8') as f:
json.dump(d, f, ensure_ascii=True, indent=2,
sort_keys=True)
def add_requirements(self, requirements):
if self._legacy:
self._legacy.add_requirements(requirements)
else:
run_requires = self._data.setdefault('run_requires', [])
always = None
for entry in run_requires:
if 'environment' not in entry and 'extra' not in entry:
always = entry
break
if always is None:
always = { 'requires': requirements }
run_requires.insert(0, always)
else:
rset = set(always['requires']) | set(requirements)
always['requires'] = sorted(rset)
def __repr__(self):
name = self.name or '(no name)'
version = self.version or 'no version'
return '<%s %s %s (%s)>' % (self.__class__.__name__,
self.metadata_version, name, version)
| [
"[email protected]"
] | |
6ca259815af0d360b758e2b3500b632cac6ef117 | 301a6d0e527c0740faa9d07f3e75ef719c51f858 | /gantcal/cal/migrations/0006_auto_20160210_1233.py | e1243e4b17e588761e3b64e02d5c4d74b5ef563c | [] | no_license | akmiller01/gantcal | 249eafa2de1d261ba7e54d59a8275e980caaf408 | da99526f3a353bcc83fb2900044a4c8e8db0e6b5 | refs/heads/master | 2021-01-17T15:24:23.206363 | 2017-02-22T14:21:04 | 2017-02-22T14:21:04 | 51,007,120 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 956 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-02-10 12:33
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('cal', '0005_auto_20160208_2037'),
]
operations = [
migrations.AddField(
model_name='event',
name='attendee',
field=models.ManyToManyField(blank=True, related_name='events', related_query_name='event', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='event',
name='estimated_cost',
field=models.IntegerField(blank=True, null=True),
),
migrations.AddField(
model_name='event',
name='purpose',
field=models.TextField(blank=True, null=True),
),
]
| [
"[email protected]"
] | |
a8b262d5222cd6bfb53827635cddb4926379e537 | a93cb5d670ab3b11f75f1afbd925fea2fac3aa92 | /backend/maze_game_19808/settings.py | edb194014f1bab70390523539427a56c2ea70179 | [] | no_license | crowdbotics-apps/maze-game-19808 | 156f1d011f8da29906ebde97688885207a1ce0b7 | 4abba9ca9b5adbb9a6c16005beae1c7946963182 | refs/heads/master | 2022-12-05T16:41:49.030137 | 2020-08-27T00:27:17 | 2020-08-27T00:27:17 | 290,634,346 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,901 | py | """
Django settings for maze_game_19808 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os
import environ
env = environ.Env()
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = env.bool("DEBUG", default=False)
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = env.str("SECRET_KEY")
ALLOWED_HOSTS = env.list("HOST", default=["*"])
SITE_ID = 1
SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https")
SECURE_SSL_REDIRECT = env.bool("SECURE_REDIRECT", default=False)
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'django.contrib.sites'
]
LOCAL_APPS = [
'home',
'users.apps.UsersConfig',
]
THIRD_PARTY_APPS = [
'rest_framework',
'rest_framework.authtoken',
'rest_auth',
'rest_auth.registration',
'bootstrap4',
'allauth',
'allauth.account',
'allauth.socialaccount',
'allauth.socialaccount.providers.google',
'django_extensions',
'drf_yasg',
# start fcm_django push notifications
'fcm_django',
# end fcm_django push notifications
]
INSTALLED_APPS += LOCAL_APPS + THIRD_PARTY_APPS
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'maze_game_19808.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'maze_game_19808.wsgi.application'
# Database
# https://docs.djangoproject.com/en/2.2/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
if env.str("DATABASE_URL", default=None):
DATABASES = {
'default': env.db()
}
# Password validation
# https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.2/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.2/howto/static-files/
STATIC_URL = '/static/'
MIDDLEWARE += ['whitenoise.middleware.WhiteNoiseMiddleware']
AUTHENTICATION_BACKENDS = (
'django.contrib.auth.backends.ModelBackend',
'allauth.account.auth_backends.AuthenticationBackend'
)
STATIC_ROOT = os.path.join(BASE_DIR, "staticfiles")
STATICFILES_DIRS = [
os.path.join(BASE_DIR, 'static')
]
STATICFILES_STORAGE = 'whitenoise.storage.CompressedManifestStaticFilesStorage'
# allauth / users
ACCOUNT_EMAIL_REQUIRED = True
ACCOUNT_AUTHENTICATION_METHOD = 'email'
ACCOUNT_USERNAME_REQUIRED = False
ACCOUNT_EMAIL_VERIFICATION = "mandatory"
ACCOUNT_CONFIRM_EMAIL_ON_GET = True
ACCOUNT_LOGIN_ON_EMAIL_CONFIRMATION = True
ACCOUNT_UNIQUE_EMAIL = True
LOGIN_REDIRECT_URL = "users:redirect"
ACCOUNT_ADAPTER = "users.adapters.AccountAdapter"
SOCIALACCOUNT_ADAPTER = "users.adapters.SocialAccountAdapter"
ACCOUNT_ALLOW_REGISTRATION = env.bool("ACCOUNT_ALLOW_REGISTRATION", True)
SOCIALACCOUNT_ALLOW_REGISTRATION = env.bool("SOCIALACCOUNT_ALLOW_REGISTRATION", True)
REST_AUTH_SERIALIZERS = {
# Replace password reset serializer to fix 500 error
"PASSWORD_RESET_SERIALIZER": "home.api.v1.serializers.PasswordSerializer",
}
REST_AUTH_REGISTER_SERIALIZERS = {
# Use custom serializer that has no username and matches web signup
"REGISTER_SERIALIZER": "home.api.v1.serializers.SignupSerializer",
}
# Custom user model
AUTH_USER_MODEL = "users.User"
EMAIL_HOST = env.str("EMAIL_HOST", "smtp.sendgrid.net")
EMAIL_HOST_USER = env.str("SENDGRID_USERNAME", "")
EMAIL_HOST_PASSWORD = env.str("SENDGRID_PASSWORD", "")
EMAIL_PORT = 587
EMAIL_USE_TLS = True
# start fcm_django push notifications
FCM_DJANGO_SETTINGS = {
"FCM_SERVER_KEY": env.str("FCM_SERVER_KEY", "")
}
# end fcm_django push notifications
# Swagger settings for api docs
SWAGGER_SETTINGS = {
"DEFAULT_INFO": f"{ROOT_URLCONF}.api_info",
}
if DEBUG:
# output email to console instead of sending
EMAIL_BACKEND = "django.core.mail.backends.console.EmailBackend"
| [
"[email protected]"
] | |
24450b29d23b2b7f0f99a3b2bb2811bd670bf89a | babc3e26d66a8084c9f84a0431338bafabae6ffd | /TaeJuneJoung/ACM/brute_force/p1182.부분수열의 합.py | 57966b23796f176632ebfe67ed031fd3ce6133ab | [] | no_license | hoteldelluna/AlgoStudy | 5c23a1bfb07dbfbabc5bedd541d61784d58d3edc | 49ec098cecf2b775727d5648161f773e5488089b | refs/heads/dev | 2022-10-09T14:29:00.580834 | 2020-01-25T14:40:55 | 2020-01-25T14:40:55 | 201,632,052 | 5 | 0 | null | 2020-01-25T14:40:57 | 2019-08-10T13:11:41 | Python | UTF-8 | Python | false | false | 407 | py | """
[완전탐색:Brute-force Search]
집합의 모든 원소의 집합을 꺼내서 합한 후,
해당 값과 같은지 비교하여 같으면 cnt++
"""
N, R = map(int, input().split())
arr = list(map(int, input().split()))
cnt = 0
for i in range(1, 1 << N):
sum_num = 0
for j in range(N):
if i & 1 << j != 0:
sum_num += arr[j]
if sum_num == R:
cnt += 1
print(cnt) | [
"[email protected]"
] | |
fceb973003007ef5405eb8febf5ac8a41ce33ad7 | b8cc6d34ad44bf5c28fcca9e0df01d9ebe0ee339 | /requests模块/5.5、高级用法-异常处理.py | 42990463ecb480ba842a6fdf377487716d805e8c | [] | no_license | python-yc/pycharm_script | ae0e72898ef44a9de47e7548170a030c0a752eb5 | c8947849090c71e131df5dc32173ebe9754df951 | refs/heads/master | 2023-01-05T06:16:33.857668 | 2020-10-31T08:09:53 | 2020-10-31T08:09:53 | 296,778,670 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 387 | py | # -*- coding: utf-8 -*-
#异常处理
import requests
from requests.exceptions import * #可以查看requests.exceptions获取异常类型
try:
r = requests.get('http://www.baidu.com', timeout=0.001)
except ReadTimeout:
print('=======:')
except ConnectionError: # 网络不通
print('------')
except Timeout:
print('aaaaaa')
except RequestException:
print('Error')
| [
"15655982512.com"
] | 15655982512.com |
7a4e323cd0bfbc8996619f0391c5f023deeeeaa8 | 6c866622c26e36da473d411d8f61252da12ecf4c | /demo/mongodb/runserver.py | dc77eacbd1d8ad03bc3c1518ca54d2e2fa08562e | [] | no_license | mrpadan/resource | d3d5e018ae927871af8f463293ccb762eab3aaa9 | fe9cdfc7553c7748c3eb2b7e50ce1dc6167b9e8d | refs/heads/master | 2021-01-20T17:33:35.828883 | 2014-10-13T15:02:25 | 2014-10-13T15:19:33 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,736 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from datetime import datetime
from jsonform import JsonForm
from pymongo import MongoClient
from flask import Flask
from resource import Resource, Filter
from resource.index import Index
from resource.db.mongo import Collection, MongoSerializer
from resource.contrib.framework.flask import add_resource, make_index
DB = MongoClient().test
class UserForm(JsonForm):
def validate_datetime(value):
if not isinstance(value, datetime):
return 'value must be an instance of `datetime`'
schema = {
'type': 'object',
'properties': {
'name': {'type': 'string'},
'password': {'type': 'string'},
'date_joined': {'custom': validate_datetime}
}
}
class UserFilter(Filter):
def query_date_range(self, query_params):
date_joined_gt = query_params.pop('date_joined_gt', None)
date_joined_lt = query_params.pop('date_joined_lt', None)
conditions = {}
if date_joined_gt:
conditions.update({'$gt': date_joined_gt})
if date_joined_lt:
conditions.update({'$lt': date_joined_lt})
if conditions:
return {'date_joined': conditions}
else:
return {}
resources = [
Resource('users', Collection, form_cls=UserForm,
serializer_cls=MongoSerializer, filter_cls=UserFilter,
kwargs={'db': DB, 'table_name': 'user'})
]
app = Flask(__name__)
if __name__ == '__main__':
for r in resources:
add_resource(app, r)
index = Resource('index', Index, uri='/',
kwargs={'resources': resources})
make_index(app, index)
app.run(debug=True)
| [
"[email protected]"
] | |
f3ef463a068a6d88ed0913e877237474d96845e8 | 0f887bc316d8c665899258406b67f6e25838f9cf | /kangaroo.py | 18362f5f21c7f43b649fe0f2a3dec1f8224f2523 | [] | no_license | bawejakunal/hackerrank | f38489be488f76e782b7f8e8c5fdc2ba1a024c30 | 999008a19c3196c9706a9165923f5683ea887127 | refs/heads/master | 2021-01-12T04:31:50.984640 | 2017-09-08T02:28:44 | 2017-09-08T02:28:44 | 77,662,863 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 631 | py | #!/bin/python
"""
https://www.hackerrank.com/challenges/kangaroo
x1 + v1.n = x2 + v2.n
n = float(x2 - x1)/(v1 - v2)
if n > 0 and whole integer then possible because the
kangaroo starting at lesser position will be able to
catch up AND land at exactly same position as the
kangaroo with a head start
"""
import sys
x1, v1, x2, v2 = raw_input().strip().split(' ')
x1, v1, x2 ,v2 = [int(x1),int(v1),int(x2),int(v2)]
#avoid division by zero
if v1 == v2:
print 'NO'
else:
n = float(x2 - x1)/(v1 - v2)
# given x1 < x2, so n can not be 0
if n > 0 and n.is_integer():
print 'YES'
else:
print 'NO'
| [
"[email protected]"
] | |
1cf467b58fc95dc223aba6b2fc94d92dce2949cd | fa3bf02fdcd6dfa48de8b9345c0131ac61abe0ab | /alphastarmini/core/arch/spatial_encoder.py | 7f235287a5f1b98cbaf021d49e8a010734380604 | [
"Apache-2.0"
] | permissive | jkchromy/mini-AlphaStar | d56423e2e86cb69ea100518e3d16f59eb6851c5e | 9c9f7a4cc53a969da9d53d7dd46122178d83085e | refs/heads/main | 2023-09-05T20:54:27.279230 | 2021-11-15T02:06:23 | 2021-11-15T02:06:23 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 14,155 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
" Spatial Encoder."
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from alphastarmini.core.arch.entity_encoder import EntityEncoder
from alphastarmini.core.arch.entity_encoder import Entity
from alphastarmini.lib import utils as L
from alphastarmini.lib.hyper_parameters import Arch_Hyper_Parameters as AHP
from alphastarmini.lib.hyper_parameters import MiniStar_Arch_Hyper_Parameters as MAHP
__author__ = "Ruo-Ze Liu"
debug = False
class SpatialEncoder(nn.Module):
'''
Inputs: map, entity_embeddings
Outputs:
embedded_spatial - A 1D tensor of the embedded map
map_skip - Tensors of the outputs of intermediate computations
'''
def __init__(self, n_resblocks=4, original_32=AHP.original_32,
original_64=AHP.original_64,
original_128=AHP.original_128,
original_256=AHP.original_256,
original_512=AHP.original_512):
super().__init__()
self.project_inplanes = AHP.map_channels # + AHP.scatter_channels
self.project = nn.Conv2d(self.project_inplanes, original_32, kernel_size=1, stride=1,
padding=0, bias=True)
# ds means downsampling
self.ds_1 = nn.Conv2d(original_32, original_64, kernel_size=4, stride=2,
padding=1, bias=True)
self.ds_2 = nn.Conv2d(original_64, original_128, kernel_size=4, stride=2,
padding=1, bias=True)
self.ds_3 = nn.Conv2d(original_128, original_128, kernel_size=4, stride=2,
padding=1, bias=True)
self.resblock_stack = nn.ModuleList([
ResBlock(inplanes=original_128, planes=original_128, stride=1, downsample=None)
for _ in range(n_resblocks)])
if AHP == MAHP:
# note: in mAS, we replace 128x128 to 64x64, and the result 16x16 also to 8x8
self.fc = nn.Linear(8 * 8 * original_128, original_256)
else:
self.fc = nn.Linear(16 * 16 * original_128, original_256) # position-wise
self.conv1 = nn.Conv1d(original_256, original_32, kernel_size=1, stride=1,
padding=0, bias=False)
self.map_width = AHP.minimap_size
@classmethod
def preprocess(cls, obs):
map_data = cls.get_map_data(obs)
return map_data
def scatter(self, entity_embeddings, entity_x_y):
# `entity_embeddings` are embedded through a size 32 1D convolution, followed by a ReLU,
print("entity_embeddings.shape:", entity_embeddings.shape) if debug else None
reduced_entity_embeddings = F.relu(self.conv1(entity_embeddings.transpose(1, 2))).transpose(1, 2)
print("reduced_entity_embeddings.shape:", reduced_entity_embeddings.shape) if debug else None
# then scattered into a map layer so that the size 32 vector at a specific
# location corresponds to the units placed there.
def bits2value(bits):
# change from the bits to dec values.
l = len(bits)
v = 0
g = 1
for i in range(l - 1, -1, -1):
v += bits[i] * g
g *= 2
return v
# shape [batch_size x entity_size x embedding_size]
batch_size = reduced_entity_embeddings.shape[0]
entity_size = reduced_entity_embeddings.shape[1]
device = next(self.parameters()).device
scatter_map = torch.zeros(batch_size, AHP.original_32, self.map_width, self.map_width, device=device)
print("scatter_map.shape:", scatter_map.shape) if debug else None
for i in range(batch_size):
for j in range(entity_size):
# can not be masked entity
if entity_x_y[i, j, 0] != -1e9:
x = entity_x_y[i, j, :8]
y = entity_x_y[i, j, 8:]
x = bits2value(x)
y = bits2value(y)
print('x', x) if debug else None
print('y', y) if debug else None
# note, we reduce 128 to 64, so the x and y should also be
# 128 is half of 256, 64 is half of 128, so we divide by 4
x = int(x / 4)
y = int(y / 4)
scatter_map[i, :, y, x] += reduced_entity_embeddings[i, j, :]
#print("scatter_map:", scatter_map[0, :, 23, 19]) if 1 else None
return scatter_map
def forward(self, x, entity_embeddings=None, entity_x_y=None):
#
# scatter_map may cause a NaN bug in SL training, now we don't use it
if entity_embeddings is not None and entity_x_y is not None:
scatter_map = self.scatter(entity_embeddings, entity_x_y)
x = torch.cat([scatter_map, x], dim=1)
# After preprocessing, the planes are concatenated, projected to 32 channels
# by a 2D convolution with kernel size 1, passed through a ReLU
x = F.relu(self.project(x))
# then downsampled from 128x128 to 16x16 through 3 2D convolutions and ReLUs
# with channel size 64, 128, and 128 respectively.
# The kernel size for those 3 downsampling convolutions is 4, and the stride is 2.
# note: in mAS, we replace 128x128 to 64x64, and the result 16x16 also to 8x8
# note: here we should add a relu after each conv2d
x = F.relu(self.ds_1(x))
x = F.relu(self.ds_2(x))
x = F.relu(self.ds_3(x))
# 4 ResBlocks with 128 channels and kernel size 3 and applied to the downsampled map,
# with the skip connections placed into `map_skip`.
map_skip = x
for resblock in self.resblock_stack:
x = resblock(x)
# note if we add the follow line, it will output "can not comput gradient error"
# map_skip += x
# so we try to change to the follow line, which will not make a in-place operation
map_skip = map_skip + x
x = x.reshape(x.shape[0], -1)
# The ResBlock output is embedded into a 1D tensor of size 256 by a linear layer
# and a ReLU, which becomes `embedded_spatial`.
x = self.fc(x)
embedded_spatial = F.relu(x)
return map_skip, embedded_spatial
@classmethod
def get_map_data(cls, obs, map_width=AHP.minimap_size, verbose=False):
'''
TODO: camera: One-hot with maximum 2 of whether a location is within the camera, this refers to mimimap
TODO: scattered_entities: 32 float values from entity embeddings
default map_width is 128
'''
if "feature_minimap" in obs:
feature_minimap = obs["feature_minimap"]
else:
feature_minimap = obs
save_type = np.float32
# A: height_map: Float of (height_map / 255.0)
height_map = np.expand_dims(feature_minimap["height_map"].reshape(-1, map_width, map_width) / 255.0, -1).astype(save_type)
print('height_map:', height_map) if verbose else None
print('height_map.shape:', height_map.shape) if verbose else None
# A: visibility: One-hot with maximum 4
visibility = L.np_one_hot(feature_minimap["visibility_map"].reshape(-1, map_width, map_width), 4).astype(save_type)
print('visibility:', visibility) if verbose else None
print('visibility.shape:', visibility.shape) if verbose else None
# A: creep: One-hot with maximum 2
creep = L.np_one_hot(feature_minimap["creep"].reshape(-1, map_width, map_width), 2).astype(save_type)
print('creep:', creep) if verbose else None
# A: entity_owners: One-hot with maximum 5
entity_owners = L.np_one_hot(feature_minimap["player_relative"].reshape(-1, map_width, map_width), 5).astype(save_type)
print('entity_owners:', entity_owners) if verbose else None
# the bottom 3 maps are missed in pysc1.2 and pysc2.0
# however, the 3 maps can be found on s2clientprotocol/spatial.proto
# actually, the 3 maps can be found on pysc3.0
# A: alerts: One-hot with maximum 2
alerts = L.np_one_hot(feature_minimap["alerts"].reshape(-1, map_width, map_width), 2).astype(save_type)
print('alerts:', alerts) if verbose else None
# A: pathable: One-hot with maximum 2
pathable = L.np_one_hot(feature_minimap["pathable"].reshape(-1, map_width, map_width), 2).astype(save_type)
print('pathable:', pathable) if verbose else None
# A: buildable: One-hot with maximum 2
buildable = L.np_one_hot(feature_minimap["buildable"].reshape(-1, map_width, map_width), 2).astype(save_type)
print('buildable:', buildable) if verbose else None
out_channels = 1 + 4 + 2 + 5 + 2 + 2 + 2
map_data = np.concatenate([height_map, visibility, creep, entity_owners,
alerts, pathable, buildable], axis=3)
map_data = np.transpose(map_data, [0, 3, 1, 2])
print('map_data.shape:', map_data.shape) if verbose else None
map_data = torch.tensor(map_data)
print('torch map_data.shape:', map_data.shape) if verbose else None
return map_data
class ResBlock(nn.Module):
def __init__(self, inplanes=128, planes=128, stride=1, downsample=None):
super(ResBlock, self).__init__()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn1 = nn.BatchNorm2d(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes)
self.relu = nn.ReLU()
self.downsample = downsample
def forward(self, x):
identity = x
out = self.conv1(x)
out = self.bn1(out)
out = self.relu(out)
out = self.conv2(out)
out = self.bn2(out)
if self.downsample is not None:
identity = self.downsample(x)
out = out + identity
out = self.relu(out)
return out
class GatedResBlock(nn.Module):
def __init__(self, inplanes=128, planes=128, stride=1, downsample=None):
super(ResBlock, self).__init__()
self.sigmoid = nn.Sigmoid()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.conv1_mask = nn.Conv2d(inplanes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn1 = nn.BatchNorm2d(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.conv2_mask = nn.Conv2d(inplanes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes)
def forward(self, x):
residual = x
x = F.relu(self.bn1(self.conv1(x) * self.sigmoid(self.conv1_mask(x))))
x = self.bn2(self.conv2(x) * self.sigmoid(self.conv2_mask(x)))
x += residual
x = F.relu(x)
return x
class ResBlockImproved(nn.Module):
def __init__(self, inplanes=128, planes=128, stride=1, downsample=None):
super(ResBlockImproved, self).__init__()
self.conv1 = nn.Conv2d(inplanes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn1 = nn.BatchNorm2d(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.bn2 = nn.BatchNorm2d(planes)
'''From paper Identity Mappings in Deep Residual Networks'''
def forward(self, x):
residual = x
x = F.relu(self.bn1(x))
x = self.conv1(x)
x = F.relu(self.bn2(x))
x = self.conv2(x)
x = x + residual
return x
class ResBlock1D(nn.Module):
def __init__(self, inplanes, planes, seq_len, stride=1, downsample=None):
super(ResBlock1D, self).__init__()
self.conv1 = nn.Conv1d(inplanes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.ln1 = nn.LayerNorm([planes, seq_len])
self.conv2 = nn.Conv1d(planes, planes, kernel_size=3, stride=stride,
padding=1, bias=False)
self.ln2 = nn.LayerNorm([planes, seq_len])
def forward(self, x):
residual = x
x = F.relu(self.ln1(x))
x = self.conv1(x)
x = F.relu(self.ln2(x))
x = self.conv2(x)
x = x + residual
return x
def test():
spatial_encoder = SpatialEncoder()
batch_size = 2
# dummy map list
map_list = []
map_data_1 = torch.zeros(batch_size, 1, AHP.minimap_size, AHP.minimap_size)
map_data_1_one_hot = L.to_one_hot(map_data_1, 2)
print('map_data_1_one_hot.shape:', map_data_1_one_hot.shape) if debug else None
map_list.append(map_data_1)
map_data_2 = torch.zeros(batch_size, 17, AHP.minimap_size, AHP.minimap_size)
map_list.append(map_data_2)
map_data = torch.cat(map_list, dim=1)
map_skip, embedded_spatial = spatial_encoder.forward(map_data)
print('map_skip:', map_skip) if debug else None
print('embedded_spatial:', embedded_spatial) if debug else None
print('map_skip.shape:', map_skip.shape) if debug else None
print('embedded_spatial.shape:', embedded_spatial.shape) if debug else None
if debug:
print("This is a test!")
if __name__ == '__main__':
test()
| [
"[email protected]"
] | |
8d665a2fac160226625f5ff47170916d67a561a7 | 494c191e87ae52470b9eb5d38d4851db168ed7cc | /system_design/designing_twitter_search.py | 04d1bfbcb67768989e277cd8f694365b364a79b3 | [] | no_license | Jeetendranani/yaamnotes | db67e5df1e2818cf6761ab56cf2778cf1860f75e | 1f859fb1d26ffeccdb847abebb0f77e9842d2ca9 | refs/heads/master | 2020-03-19T01:12:45.826232 | 2018-05-30T20:14:11 | 2018-05-30T20:14:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,921 | py | """
Design twitter search
Twitter is one of the largest social networking service where users can share photos, news, and text-based messages. In
this chapter, we will design an service that can store and search user tweets.
Similar Problems: Tweet search.
Difficulty Level: Medium
1. What is twitter search?
Twitter user can update their status whenever they like. Each status consists of plain text, and our goal is to
design a system that allows searching over all the user statues.
2. Requirements and goals of the system
- let's assume twitter has 1.5 billion total user with 800 million daily active users.
- On the average twitter gets 400 million status updates every day.
- Average size of a status is 300 bytes.
- Let's assume there will be 500M searches every day.
- The search query will consist of multiple words combined with AND/OR.
We need to design a system that can efficiently store and query user status.
3. Capacity Estimation and Constraints
Storage capacity: Since we have 400 million new statuses every day and each status on average is 300 bytes,
therefore total storage we need, will be:
400M * 300 => 112GB/day
Total storage per second:
112GB/86400 sec ~= 1.3MB/second
4. System APIs
We can have soap or rest apis to expose functionality of our service; following could be teh definition of search
API:
search(api_dev_key, search_terms, maximum_results_to_return, sort, page_token)
parameters:
api_dev_key(string): the api developer key of a registered account. this will be used to, among other things,
throttle users based on their allocated quota.
search_terms(string): a string containing the search terms.
maximum_results_to_return(number): number of status message to return.
sort(number): optional sort mode: latest first (0 - default), best matched (1), most liked (2).
page_token(string): this token will specify a page in the result set that should be returned.
returns: (json)
A json containing information about a list of status messages matching the search query, each result entry can have
the user id & name, status text, status id, creation time, number of likes, etc.
5. High level design
At the high level, we need to store all the status in a database, and also build an index that can keep track of
which word appears in which status. This index will help us quickly find statuses that suers are trying to search.
index server todo
6. Detailed components design
1. Storage: We need to store 112GB of new data every day. Given this huge amount of data, we need to come up with
a data partitioning scheme that will be efficiently distributing it onto multiple servers. If we plan for next
five years, we will need following storage:
112GB * 365 days * 5 => 200 TB
if we never want to be more than 80% full, we would need 240TB. Let's assume that we want to keep an extra copy of
all teh statues for fault tolerance, then our total storage requirement will be 480TB. If we assume a modern server
can store up to 4TB of data, then we would need 120 such servers to hold all of the required data for next five
years.
Let's start with a simplistic design where we store our statuses in a mysql database. We can assume to store our
statuses in a table having two columns, statusids are system-wide unique, we can define a hash function that can
map a statusid to a storage server, where we can store that status object.
how can we create system wide unique statusids? If we are getting 400m new statuses each day, then how many status
objects we can expect in five years?
400M * 365 days * 5 years => 730 billion
This means we would need a five bytes number to identify statusids uniquely. let's assueme we have a service that
can generate a unique statusid whenever we need to store an object (we will discuss this in detail later). We can
feed the statusid to our hash function to find the storage server and store our status object there.
2. index: what should our index look like? Since our status queries will consist of words, therefore, let's build
our index that can tell us which word comes in which status object. Let's first estimate how big our index will be.
If we want to build an index for all the english words and some famous nouns like people names, city names, etc. and
if we assume that we have around 300k english words and 200k nouns, then we wil hav 500k total words in our index.
let's assume that the average length of a word is five characters. If we are keeping our index in memory, we would
need 2.5 BM of memory to store all the words:
500k * 5 => 2.5MB
Let's assume that we want to keep the index in memory for all the statues objects for only past two years. Since
we will be getting 730B status objects in 5 years, this will give us 292B status messages in two years. Given that,
each statusid will be 5 bytes, how much memory will we need to store all teh statusids?
292B * 5 => 1460 GB
So our index would be like a big distributed hash table, where 'key' would be the word, and 'value' will be a list
of status_ids of all those status objects which contains that word. Assuming on teh average we have 40 words in
each status and since we will not be indexing prepositions and other small words like 'the', 'an', 'and' etc., let's
assume we will have around 15 words in each status that need to be indexed. This means each statusId will stored 15
times in our index. So total memory will need to store our index:
(1460 * 15) + 2.5MB ~= 21 TB
Assuming a high-end server has 144GB of memory, we would need 152 such servers to hold our index.
We can shard our data based on two criteria:
sharding based on words: While building our index, we will iterate through all the words of a status and calculate
the hash of each word to find the server where it would be indexed. To find all statuses containing a specific
word we ahve to query only that server which contains this word.
we have a couple of issues with this approach:
1. What if a word becomes hot? There would be a lot of queries on the server holding that word. This high load
will affect the performance of our server.
2. Over time some words can end up storing a lot of statusid compared to others, therefore, maintaining a
uniform distribution of words while statues are growing is quite difficult.
To recover from this situations either we have to repartition our data with use consistent hashing.
Sharding based on the status on the status object: while string, we will pass the statusid to our hash function to
find the server and index all the words of teh status on that server. While querying for a particular word, we have
to query all teh servers, and each server will return a set of statusids. A centralized server will aggregate these
results to return them to the user.
7. Fault tolerance
Wht will happen when an index server dies? We can have a secondary replica of each server, and if the primary
server dies it can take control after the failover. Both primary and secondary servers will have the same copy of
the index.
What if both primary and secondary server die at the same time? We have to allocate a new server and rebuild the
same index on it. How can we do that? We dont' know what word / statues were kept on this server. if we were using
'Sharding based on teh status objects', the brute-foce solution would be to iterate through the whole database and
filter statusids using our hash function to figure out all the required status that will be stored on this server.
This would be inefficient and also during the time when the server is being rebuilt we will not be able to serve
any query from it. thus missing some statuses that should have been seen by the user.
How can we efficiently retrieve a mapping between statuses and index server? We have to build a reverse index that
will map all the statusid to there index server. our index-builder server can hold this information. We will need to
build a hash table, where the 'key' would be the index server number and the value would be a hashset containing all
the statusids being kept at that index server. notice that we are keeping all the statusids in a hashset, this will
enable us to add /remove statuses from our index quickly, so now whenever an index server has to rebuild itself, it
can simply ask the index-builder server for all the statues it needs to store, and then fetch those statuses to
build the index. This approach will surely be quite fast. We should also have a replica of index-builder server for
fault tolerance.
8. Cache
To deal with hot status objects, we can introduce a cache in front of our database. We can use memcache, which can
store all such hot status objects in memory. Application servers before hitting backend database can quickly check
if the cache has that status object. Based on clients usage pattern we can adjust how many cache servers we need.
For cache eviction policy, Least Recently Used (LRU) seems suitable for our system.
9. Load Balancing
We can add load balancing layer at two places in our system:
1. Between Clients and applications server
2. Between application server and backend server
Initially, a simple round robin approach can be adopted; that distributes incoming requests equally among backend
servers. This LB is simple to implement and does not introduce any overhead. Another benefit of this approach is if
server is dead, LB will take it out of the rotation and will stop sending any traffic to it. A problem with Round
Robin LB is, it wont' take server laod into consideration. If a server is overloaded or slow, the LB will not
stop sending new requests to that server. To handle this, a more intelligent LB solution can be placed that
periodically queries backend server about their load and adjust traffic based on that.
10. Ranking
How about if we want to rank the search results by social graph distance, popularity, relevance, etc?
Let's assue we want to rank statuses on popularity, like, how many likes or comments a status is getting, etc. In
such a case our ranking algorithm can calculate a 'popularity number' (based on teh number of likes etc), and store
it with the index. Each partition can sort the results based on this popularity number before returning results to
the aggregator server. The aggregator server combines all these results, sort them based on the popularity number
and sends the top results to the user.
""" | [
"[email protected]"
] | |
302dc8251d11ce221c0e3dafc58c003f18e54076 | 88a856c080080dfd15c6c50e81a82ae4f230b65a | /tests/selenium.py | 3b31f912fb83b134f4b47383aa4226e9edd67bb3 | [] | no_license | ephremworkeye/nov_ecommerce | 682c0776bf86f8656ee968ee13cb95deb73f4a7a | f847bfd1f0fff29f321113d200f7c653ae4c7214 | refs/heads/master | 2023-09-04T01:32:32.191459 | 2021-10-28T08:17:02 | 2021-10-28T08:17:02 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 367 | py | import pytest
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
@pytest.fixture(scope="module")
def chrome_browser_instance(request):
"""
provide a selenium webdriver instance
"""
options = Options()
options.headless = False
browser = webdriver.Chrome(options=options)
yield browser
browser.close() | [
"[email protected]"
] | |
28fdc6ab07daa339e7c05ac8e9fdcee819a5441a | 05109979de89fbd5f69d6cc85ac794497dc441d1 | /apps/destination/adminx.py | c00a4a4636d2b3fc21bcc9fbe9a56db2b356ce7d | [] | no_license | bbright3493/douxing | c70bdb11d3f0e253d8545ab4bdf89d330b0e0d6f | 0607aee7c59aa4845d6bc86940d7885cd83466a6 | refs/heads/master | 2021-05-06T10:11:22.815128 | 2017-12-15T09:40:34 | 2017-12-15T09:40:34 | 114,102,089 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,041 | py | # -*- coding: utf-8 -*-
__author__ = 'bb'
__date__ = '2017/12/15 23:34'
import xadmin
from .models import *
from xadmin import views
class GlobalSettings(object):
site_title="都行后台管理系统"
site_footer="都行"
menu_style="accordion"
xadmin.site.register(views.CommAdminView, GlobalSettings)
class DestinationAdmin(object):
list_display = ['name', 'publish_user', 'desc', 'lat', 'lng', 'custom', 'festival', 'religion', 'address','publish_time']
search_fields = ['name', 'publish_user', 'desc', 'lat', 'lng', 'custom', 'festival', 'religion', 'address','publish_time']
list_filter = ['name', 'publish_user', 'desc', 'lat', 'lng', 'custom', 'festival', 'religion', 'address','publish_time']
xadmin.site.register(Destination, DestinationAdmin)
class TagInfoAdmin(object):
list_display = ['name', 'type', 'desc', 'second_tag']
search_fields = ['name', 'type', 'desc', 'second_tag']
list_filter = ['name', 'type', 'desc', 'second_tag']
xadmin.site.register(TagInfo, TagInfoAdmin)
class SecondTagInfoAdmin(object):
list_display = ['name', 'type', 'desc', 'third_tag']
search_fields = ['name', 'type', 'desc', 'third_tag']
list_filter = ['name', 'type', 'desc', 'third_tag']
xadmin.site.register(SecondTagInfo, SecondTagInfoAdmin)
class ThirdTagInfoAdmin(object):
list_display = ['name', 'type', 'desc']
search_fields = ['name', 'type', 'desc']
list_filter = ['name', 'type', 'desc']
xadmin.site.register(ThirdTagInfo, ThirdTagInfoAdmin)
class TagDestinationAdmin(object):
list_display = ['tag', 'destination', 'add_time']
search_fields = ['tag', 'destination']
list_filter = ['tag', 'destination']
xadmin.site.register(TagDestination, TagDestinationAdmin)
class DestinationImageAdmin(object):
list_display = ['image', 'destination', 'add_id']
search_fields = ['image', 'destination', 'add_id']
list_filter = ['image', 'destination', 'add_id']
model_icon = 'fa fa-film'
xadmin.site.register(ImageInfo, DestinationImageAdmin)
| [
"[email protected]"
] | |
0814cd6f81ee06c0ee5732b9574cd914859e16c9 | 4610d0284416361643095ca9c3f404ad82ca63c2 | /src/sploitego/metasploit/utils.py | 1f796affd48ec6853417a13b33a928b7f53ed032 | [] | no_license | mshelton/sploitego | 165a32874d955621c857552fb9692ecf79e77b7e | 3944451a110f851a626459767d114569d80a158c | refs/heads/master | 2020-12-25T03:11:58.071280 | 2012-08-16T22:33:10 | 2012-08-16T22:33:10 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,100 | py | #!/usr/bin/env python
from optparse import OptionParser
__author__ = 'Nadeem Douba'
__copyright__ = 'Copyright 2012, Sploitego Project'
__credits__ = ['Nadeem Douba']
__license__ = 'GPL'
__version__ = '0.1'
__maintainer__ = 'Nadeem Douba'
__email__ = '[email protected]'
__status__ = 'Development'
__all__ = [
'parseargs'
]
def parseargs():
p = OptionParser()
p.add_option("-P", dest="password", help="Specify the password to access msfrpcd", metavar="opt")
p.add_option("-S", dest="ssl", help="Disable SSL on the RPC socket", action="store_false", default=True)
p.add_option("-U", dest="username", help="Specify the username to access msfrpcd", metavar="opt", default="msf")
p.add_option("-a", dest="server", help="Connect to this IP address", metavar="host", default="127.0.0.1")
p.add_option("-p", dest="port", help="Connect to the specified port instead of 55553", metavar="opt", default=55553)
o, a = p.parse_args()
if o.password is None:
print '[-] Error: a password must be specified (-P)\n'
p.print_help()
exit(-1)
return o | [
"[email protected]"
] | |
5f4e5af81bbc911e9ebdba871a0cb2867f9c8915 | 07c75f8717683b9c84864c446a460681150fb6a9 | /1.Django_cursor/days05_总结/mysite/mytemp/urls.py | a5dd5fde3d50dc66c0aebff2c502336f406cf684 | [] | no_license | laomu/py_1709 | 987d9307d9025001bd4386381899eb3778f9ccd6 | 80630e6ac3ed348a2a6445e90754bb6198cfe65a | refs/heads/master | 2021-05-11T09:56:45.382526 | 2018-01-19T07:08:00 | 2018-01-19T07:08:00 | 118,088,974 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 117 | py | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^.*$', views.index, name="index"),
] | [
"[email protected]"
] | |
ac77fbc3989b6f85e192007025647230f9038e70 | f3b233e5053e28fa95c549017bd75a30456eb50c | /ptp1b_input/L77/77-bs_wat_20Abox/set_1ns_equi.py | 55249588767ba5d4a982ae8d8e78310b01454d53 | [] | no_license | AnguseZhang/Input_TI | ddf2ed40ff1c0aa24eea3275b83d4d405b50b820 | 50ada0833890be9e261c967d00948f998313cb60 | refs/heads/master | 2021-05-25T15:02:38.858785 | 2020-02-18T16:57:04 | 2020-02-18T16:57:04 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 916 | py | import os
dir = '/mnt/scratch/songlin3/run/ptp1b/L77/wat_20Abox/ti_one-step/77_bs/'
filesdir = dir + 'files/'
temp_equiin = filesdir + 'temp_equi.in'
temp_pbs = filesdir + 'temp_1ns_equi.pbs'
lambd = [ 0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078]
for j in lambd:
os.system("rm -r %6.5f" %(j))
os.system("mkdir %6.5f" %(j))
os.chdir("%6.5f" %(j))
os.system("rm *")
workdir = dir + "%6.5f" %(j) + '/'
#equiin
eqin = workdir + "%6.5f_equi.in" %(j)
os.system("cp %s %s" %(temp_equiin, eqin))
os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, eqin))
#PBS
pbs = workdir + "%6.5f_1ns_equi.pbs" %(j)
os.system("cp %s %s" %(temp_pbs, pbs))
os.system("sed -i 's/XXX/%6.5f/g' %s" %(j, pbs))
#top
os.system("cp ../77-bs_merged.prmtop .")
os.system("cp ../0.5_equi_0.rst .")
#submit pbs
os.system("qsub %s" %(pbs))
os.chdir(dir)
| [
"[email protected]"
] | |
28c70b3e1130f8b502b3c9c2c40227b8a0097822 | 155bf47fa1b33a31576f6b8b90aaa74cd41e352a | /04PythonScraping/chap07提升爬虫的速度/demo08-mutilprocess3.py | 16dc3b5e6f88d6f3427e90b4e4c02db36751cbe7 | [] | no_license | ares5221/Python-Crawler-Projects | af4ec40a26f4f69ef285a0edf0428192a594d4cd | 45b496000631f0f3b887501d9d67f3e24f5e6186 | refs/heads/master | 2021-07-03T07:11:25.474055 | 2020-09-08T08:17:17 | 2020-09-08T08:17:17 | 145,980,513 | 3 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,105 | py | from multiprocessing import Pool, Manager
import time
import requests
link_list = []
with open('alexa.txt', 'r') as file:
file_list = file.readlines()
for eachone in file_list:
link = eachone.split('\t')[1]
link = link.replace('\n','')
link_list.append(link)
start = time.time()
def crawler(q, index):
Process_id = 'Process-' + str(index)
while not q.empty():
url = q.get(timeout=2)
try:
r = requests.get(url, timeout=20)
print (Process_id, q.qsize(), r.status_code, url)
except Exception as e:
print (Process_id, q.qsize(), url, 'Error: ', e)
if __name__ == '__main__':
manager = Manager()
workQueue = manager.Queue(1000)
# 填充队列
for url in link_list:
workQueue.put(url)
pool = Pool(processes=3)
for i in range(4):
pool.apply(crawler, args=(workQueue, i))
print ("Started processes")
pool.close()
pool.join()
end = time.time()
print ('Pool + Queue多进程爬虫的总时间为：', end-start)
print ('Main process Ended!')
| [
"[email protected]"
] | |
6f8cd243866fffe00749263f072c8cf6efdb7d38 | d62f1c0bd9c35cd8ae681d7465e749d63bb59d4e | /Week1/Informatics/Cycles/While/E.py | eeb7f7f63613891fe718d408bf44c2de1f7951e6 | [] | no_license | Yeldan/BFDjango | 0134a57ec523b08e4ca139ec11c384eeefec6caa | a390e08b8711613040a972e30a25b4035ff58e37 | refs/heads/master | 2020-03-27T15:49:53.859506 | 2018-11-25T22:33:38 | 2018-11-25T22:33:38 | 146,742,341 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 87 | py | n = int(input())
pow2 = 1
k = 0
while pow2 < n:
pow2 *= 2
k += 1
print(k) | [
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] | |
aada138df4c56627acf62eaa60266b52a077bae2 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/429/usersdata/321/107494/submittedfiles/jogoDaVelha_BIB.py | ae59cd865960f39bb8cd8d243bc082c289f59efd | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,715 | py | # -*- coding: utf-8 -*-
# COLOQUE SUA BIBLIOTECA A PARTIR DAQUI
import random
tabuleiro = [
[' ',' ',' '],
[' ',' ',' '],
[' ',' ',' ']]
def nome():
nome = str(input('Qual seu nome? \n'))
return nome
def solicitaSimboloDoHumano():
s = str(input('Qual símbolo você deseja utilizar no jogo? (X ou O) \n'))
while s != 'X' and s != 'O':
print('Insira um símbolo válido.')
s = str(input('Qual símbolo você deseja utilizar no jogo? (X ou O) '))
return s
def sorteioPrimeiraJogada(nome):
j1 = nome
j2 = 'Computador'
sort = random.randint(0,1)
if sort == 1:
print ('Vencedor do sorteio para início do jogo: %s' % j1)
if sort == 0:
print ('Vencedor do sorteio para início do jogo: %s' % j2)
return sort
def JogadaHumana(nome,b):
while True:
c= int(input('Qual a sua jogada, %s? ' % nome))
x = c // 10
y = c % 10
if validaJogada(nome,tabuleiro,x,y,b):
tabuleiro[x][y]= ' '+b+' '
return True
#else:
#return False
def jogadaComputador(computador):
while True:
linha= random.randint(0,2)
coluna= random.randint(0,2)
if tabuleiro[linha][coluna]==' ':
tabuleiro[linha][coluna] = computador
mostraTabuleiro()
return True
def mostrarTabuleiro() :
print(' ')
print(tabuleiro[0][0]+'|'+tabuleiro[0][1]+'|'+tabuleiro[0][2])
print(' ')
print(tabuleiro[1][0]+'|'+tabuleiro[1][1]+'|'+tabuleiro[1][2])
print(' ')
print(tabuleiro[2][0]+'|'+tabuleiro[2][1]+'|'+tabuleiro[2][2])
print(' ')
def validaJogada(nome,tabuleiro,l,c,s) :
jogadapossivel = False
if not tabuleiro[l][c]==' ':
if nome!='':
print('OPS!!! Essa jogada não está disponível. Tente novamente!')
return False
else:
return True
'''
def verificaVencedor(s,tabuleiro,nome):
if (tabuleiro[0][0] == tabuleiro[0][1] == tabuleiro[0][2] == s or
tabuleiro[1][0] == tabuleiro[1][1] == tabuleiro[1][2] == s or
tabuleiro[2][0] == tabuleiro[2][1] == tabuleiro[2][2] == s or
tabuleiro[0][0] == tabuleiro[1][0] == tabuleiro[2][0] == s or
tabuleiro[0][1] == tabuleiro[1][1] == tabuleiro[2][1] == s or
tabuleiro[0][2] == tabuleiro[1][2] == tabuleiro[2][2] == s or
tabuleiro[0][0] == tabuleiro[1][1] == tabuleiro[2][2] == s or
tabuleiro[0][2] == tabuleiro[1][1] == tabuleiro[2][0] == s ):
w= tabuleiro [0][0]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
else:
cont=0
for i in range(0,len(tabuleiro)):
for j in range(0,len(tabuleiro)):
if tabuleiro[i][j]!=' ':
cont += 1
if cont==9:
print ('Deu Velha')
return True
else:
return False
'''
def verificaVencedor(s,tabuleiro,nome):
if (tabuleiro[0][0] == tabuleiro[0][1] == tabuleiro[0][2]) and tabuleiro[0][0]!=' ' :
w= tabuleiro[0][0]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[1][0] == tabuleiro[1][1] == tabuleiro[1][2]) and tabuleiro[1][0]!=' ' :
w= tabuleiro[1][0]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[2][0] == tabuleiro[2][1] == tabuleiro[2][2]) and tabuleiro[2][0]!=' ' :
w= tabuleiro[2][0]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[0][0] == tabuleiro[1][0] == tabuleiro[2][0]) and tabuleiro[0][0]!=' ' :
w= tabuleiro[0][0]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[0][1] == tabuleiro[1][1] == tabuleiro[2][1]) and tabuleiro[0][1]!=' ' :
w= tabuleiro[0][1]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[0][2] == tabuleiro[1][2] == tabuleiro[2][2]) and tabuleiro[0][2]!=' ' :
w= tabuleiro[0][2]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[0][0] == tabuleiro[1][1] == tabuleiro[2][2]) and tabuleiro[0][0]!=' ' :
w= tabuleiro[0][0]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
elif (tabuleiro[0][2] == tabuleiro[1][1] == tabuleiro[2][0]) and tabuleiro[0][2]!=' ' :
w= tabuleiro[0][2]
if w==s:
print('Vencedor: %s' %nome)
return True
else:
print('Vencedor: Computador')
return True
else:
cont=0
for i in range(0,3,1):
for j in range(0,3,1):
if tabuleiro[i][j]!=' ':
cont += 1
if cont==9:
print ('Deu Velha')
return True
else:
return False
def jogueNovamente():
print('Você quer jogar de novo? (sim ou não)')
return input().lower().startswith('y')
#Olhar o erro
'''
def verifica(m,situacao):
flag=False
if (m[0][0]==m[0][1]==m[0][2]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[1][0]==m[1][1]==m[1][2]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[2][0]==m[2][1]==m[2][2]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][0]==m[1][0]==m[2][0]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][1]==m[1][1]==m[2][1]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][2]==m[1][2]==m[2][2]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][0]==m[1][1]==m[2][2]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][2]==m[1][1]==m[2][0]=='X'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][0]==m[0][1]==m[0][2]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[1][0]==m[1][1]==m[1][2]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[2][0]==m[2][1]==m[2][2]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][0]==m[1][0]==m[2][0]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][1]==m[1][1]==m[2][1]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][2]==m[1][2]==m[2][2]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][0]==m[1][1]==m[2][2]=='0'):
print 'Jogador 1 ganhou'
situacao=True
elif (m[0][2]==m[1][1]==m[2][0]=='0'):
print ('Jogador 1 ganhou')
situacao=True
else:
for i in matriz:
for j in i:
if j==' ':
flag=True
if flag==False:
print ('Deu Velha')
situacao=True
return situacao
'''
| [
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] | |
a4a0b8f3a09ca5ad949545f6df5b75f196e58b74 | 7b01421591dd7f83b719be4df90b4590904263f9 | /bev/__init__.py | e0e4ef5a43398ff89aae02c5b92d8f23e1efde1e | [] | no_license | samokhinv/bev | d54624566d315f3ddf4a71e584bf2c00200a11b6 | c3b1bdcdbcdb7be5e65c4cc8d04a40615f4f65b1 | refs/heads/master | 2023-05-31T15:38:39.816757 | 2021-06-23T17:37:45 | 2021-06-23T17:37:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 84 | py | from .interface import Repository, UNCOMMITTED
from .__version__ import __version__
| [
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] | |
bdf5c1a2838f3284de099196371fc88742604fc6 | f73e0439f953f968f2021e54866a367617debff8 | /blog/views.py | e4b976339b39b8067c110e831249a1e9e5319cde | [
"MIT"
] | permissive | kkampardi/DjangoTesting | d86542beae8a7cc16fc2fc2774c1c3348142345b | 1092c41d9d4930f0512fac79b4d95836c70e5f3a | refs/heads/master | 2020-06-16T12:13:17.240496 | 2017-05-09T07:26:30 | 2017-05-09T07:26:30 | 75,104,263 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 235 | py | from django.shortcuts import render
from django.views.generic.base import TemplateView
from .models import Entry
class HomeView(TemplateView):
template_name = 'index.html'
queryset = Entry.objects.order_by('-created_at')
| [
"[email protected]"
] | |
a8fe0988ccaba26dd6c06fdb0050af81e79fc56b | bebec878576db20eb38f7e981ab42a7dee20d431 | /src/publisher.py | 1ee23b019c6b41a01d5afcf236fd07f02ba0045a | [] | no_license | rorymcstay/algo | 890809d03c68b3e09ee3e48b3cf71d74ac867215 | 499e39511b2ad495a6559790c8c7d84bdaa0a32e | refs/heads/master | 2021-06-28T06:34:26.410025 | 2021-03-28T19:39:16 | 2021-03-28T19:39:16 | 224,317,279 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,401 | py | import csv
import logging
import threading
from threading import Thread
from multiprocessing import Process
from event_config import subscribers
from src.engine import ThreadPool
class EventConfig:
def __init__(self, dataClass, mapping, complex=False):
"""
The configuration class for an event to be published
:param dataClass: the type of the data published
:param complex: whether or not the mapping is complex TODO check the type of the result of the mapping instead
:param mapping: the mapping to use. Either complex and returns the object or a tuple order mapping
"""
self.dataClass = dataClass
self.dataClass.mapping = mapping
self.dataClass = dataClass
self.complex = complex
class Engine:
engine = None
def __init__(self, connectionString):
"""
Base class of Engines to provide to publisher
:param connectionString: A single connection string to the feed
"""
self.connectionString = connectionString
pass
def __iter__(self):
pass
class FileEngine:
def __init__(self, connectionString):
"""
Stream over a file
:param connectionString: path to file
"""
self.engine = csv.reader(open(connectionString, 'r'))
def __iter__(self):
"""
The cursor to the data feed
:return:
"""
for line in self.engine:
logging.debug(line)
yield line
class Publisher(Process):
def __init__(self, connectionString, engine, eventConfig):
"""
Publish event to all subscribers in the global subscriber
:param engine: the class of engine to use
:param connectionString: parameter to engine
:param eventConfig: the event config object
"""
self.pause_cond = threading.Condition(threading.Lock())
self.engine = engine(connectionString)
self.data_type = eventConfig.dataClass
self.complex = eventConfig.complex
self.threadPool = ThreadPool(2)
self.connectionString = connectionString
def notifySubscribers(self, data):
"""
Call back to global subscriber list
:param data:
:return:
"""
global subscribers
for sub in subscribers:
self.threadPool.add_task(sub.onPublishedEvent, data)
self.threadPool.wait_completion()
def factory(self, *fields):
"""
Construct events to publish
:param fields:
:return:
"""
if self.complex:
return self.data_type.mapping(*fields)
else:
return self.data_type(*self.data_type.mapping(*fields))
def run(self) -> None:
"""
Run method for the publisher
:return:
"""
logging.info(f'starting publisher {self.__class__} on {self.connectionString}')
for i in self.engine:
with self.pause_cond:
logging.info(f'received {self.data_type.__name__} event: {i} ')
self.notifySubscribers(self.factory(*i))
self.pause_cond.wait(0.1)
def init(self) -> None:
"""
start the publisher in a new thread
"""
Process.__init__(self, target=self.run, args=())
self.name = self.connectionString
self.start()
| [
"[email protected]"
] | |
f300ce2eff2dcc46b9a46377c2b2bbee80217dc6 | 906171cc2ff7a669149d807c0e6d6db3fbea5f91 | /algorithm-books/程序员面试指南/python/递归和动态规划/龙与地下城游戏问题.py | 204b196a1cb2565b9aed86764b5bca945d6e2cbb | [] | no_license | Deanhz/normal_works | a2942e9eab9b51d190039b659b6924fe2fba7ae9 | 7ae3d5b121bb7af38e3c7e6330ce8ff78ceaadb1 | refs/heads/master | 2020-03-25T20:51:02.835663 | 2019-02-18T16:34:44 | 2019-02-18T16:34:44 | 144,149,031 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,165 | py | # -*- coding: utf-8 -*-
"""
Created on Tue Jun 12 20:44:57 2018
@author: Dean
本题的更新需要从下到上，从右到左
p223
"""
def minHP1(m):#时间复杂度O(M*N),空间复杂度O(M*N)
if not m:
return 1
row = len(m)
col = len(m[0])
#dp[i][j]表示如果骑士走上位置(i,j)前,从该位置能够走到右下角，最少具备的血量
dp = [[0 for j in range(col)] for i in range(row)]
#初始化dp[row-1][col-1]
#重要
if m[row-1][col-1] > 0:
dp[row-1][col-1] = 1
else:
dp[row-1][col-1] = 1 - m[row-1][col-1]
#从右向左更新最后一行
for j in range(col - 1)[::-1]:
#dp不能小于1，因为血量随时都不能小于1
dp[row-1][j] = max(dp[row-1][j+1] - m[row-1][j], 1)
#从下到上，更新剩余行
for i in range(row-1)[::-1]:
#更新每行的最右端
dp[i][col-1] = max(dp[i+1][col-1] - m[i][col-1], 1)
for j in range(col-1)[::-1]:
#水平方向
dp_row = max(dp[i][j+1] - m[i][j], 1)
#垂直方向
dp_col = max(dp[i+1][j] - m[i][j], 1)
#取最小值
dp[i][j] = min(dp_col,dp_row)
return dp[0][0]
def minHP2(m):#使用空间压缩,空间复杂度O(M*N)
if not m:
return 1
row = len(m)
col = len(m[0])
dp = [0 for j in range(col)]
#初始化dp[col-1]
if m[row-1][col-1] > 0:
dp[col-1] = 1
else:
dp[col-1] = 1 - m[row-1][col-1]
#更新最后一行
for j in range(col-1)[::-1]:
dp[j] = max(dp[j+1] - m[row-1][j], 1)
#更新剩余所有行
for i in range(row-1)[::-1]:
#更新每行的最右端
dp[col-1] = max(dp[col-1] - m[i][col-1], 1)
for j in range(col-1)[::-1]:
#水平方向
dp_row = max(dp[j+1] - m[i][j], 1)
#垂直方向
dp_col = max(dp[j] - m[i][j], 1)
#取最小值
dp[j] = min(dp_row, dp_col)
return dp[0]
if __name__ == "__main__":
m = [[-2, -3, 3],[-5, -10, 1], [0, 30, -5]]
print(minHP1(m))
print(minHP2(m))
| [
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] | |
10f7ef7944bbc118a972447b591a865681e469ee | 502da37d15b473edd9ac56f10871a2e74a774920 | /misc/deb-package/spairo-deb-d/usr/lib/python3/dist-packages/spairo/parse/obj.py | 003719aee7bc156b13109532cf1d43d4f12fab2a | [] | no_license | adhuliya/sparcv8-ajit | 5cf7c8fc1e89dc97b3160c010ba9c95cd993eee6 | c121c33f5b1eaabf040cf929678229a21f8283de | refs/heads/master | 2022-08-22T08:20:09.423969 | 2022-07-24T04:10:11 | 2022-07-24T04:10:11 | 97,362,905 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,041 | py | #!/usr/bin/env python3
import re
import sys
extractInstruction = re.compile(
r"(?P<addr>[a-fA-F0-9]+):\s*([a-fA-F0-9][a-fA-F0-9]\s){4}\s*(?P<instr>[^!]*)")
labelSuffix = re.compile(r"<[.$_a-zA-Z][.$_a-zA-Z0-9]*>$")
# Parse obj file
def parse(filename):
instr = dict()
with open(filename, "r") as f:
for line in f:
line = line.strip()
match = extractInstruction.search(line)
if match:
line = labelSuffix.sub("", line)
match = extractInstruction.search(line)
addr = int(match.group("addr"), 16)
instr[addr] = match.group("instr").strip()
instr = None if not instr else instr
return instr
def printInstr(instr):
for key in sorted(instr):
print("{0:4X}".format(key), ":", instr[key])
print("Total Instr:", len(instr))
if __name__ == "__main__":
filename = "testfiles/test.obj.save"
if len(sys.argv) == 2:
filename = sys.argv[1]
instr = parse(filename)
printInstr(instr)
| [
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] | |
069df0b91770278c18cb69fae6abb68bfff5b37e | e76f883f7f93b2d2e735fe1c8a72ddfb146a6ffb | /tests/test_vpx.py | 22da24b31ccc3eeca8fe128cd833d5932f3ec619 | [
"BSD-3-Clause"
] | permissive | turbographics2000/aiortc | 4da92a85b5b3b3ec3286bad46265158f04d7b373 | f3275012f59312a4f7a73c932bbf52f6f69f1a1a | refs/heads/master | 2021-04-03T07:07:52.485523 | 2018-03-07T10:49:56 | 2018-03-07T10:49:56 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 5,467 | py | from unittest import TestCase
from aiortc.codecs import get_decoder, get_encoder
from aiortc.codecs.vpx import (VpxDecoder, VpxEncoder, VpxPayloadDescriptor,
_vpx_assert)
from aiortc.mediastreams import VideoFrame
from aiortc.rtp import Codec
VP8_CODEC = Codec(kind='video', name='VP8', clockrate=90000)
class VpxPayloadDescriptorTest(TestCase):
def test_no_picture_id(self):
descr, rest = VpxPayloadDescriptor.parse(b'\x10')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, None)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x10')
self.assertEqual(repr(descr), 'VpxPayloadDescriptor(S=1, PID=0, pic_id=None)')
self.assertEqual(rest, b'')
def test_short_picture_id_17(self):
"""
From RFC 7741 - 4.6.3
"""
descr, rest = VpxPayloadDescriptor.parse(b'\x90\x80\x11')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, 17)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x90\x80\x11')
self.assertEqual(repr(descr), 'VpxPayloadDescriptor(S=1, PID=0, pic_id=17)')
self.assertEqual(rest, b'')
def test_short_picture_id_127(self):
descr, rest = VpxPayloadDescriptor.parse(b'\x90\x80\x7f')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, 127)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x90\x80\x7f')
self.assertEqual(rest, b'')
def test_long_picture_id_128(self):
descr, rest = VpxPayloadDescriptor.parse(b'\x90\x80\x80\x80')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, 128)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x90\x80\x80\x80')
self.assertEqual(rest, b'')
def test_long_picture_id_4711(self):
"""
From RFC 7741 - 4.6.5
"""
descr, rest = VpxPayloadDescriptor.parse(b'\x90\x80\x92\x67')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, 4711)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x90\x80\x92\x67')
self.assertEqual(rest, b'')
def test_tl0picidx(self):
descr, rest = VpxPayloadDescriptor.parse(b'\x90\xc0\x92\x67\x81')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, 4711)
self.assertEqual(descr.tl0picidx, 129)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x90\xc0\x92\x67\x81')
self.assertEqual(rest, b'')
def test_tid(self):
descr, rest = VpxPayloadDescriptor.parse(b'\x90\x20\xe0')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, None)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, (3, 1))
self.assertEqual(descr.keyidx, None)
self.assertEqual(bytes(descr), b'\x90\x20\xe0')
self.assertEqual(rest, b'')
def test_keyidx(self):
descr, rest = VpxPayloadDescriptor.parse(b'\x90\x10\x1f')
self.assertEqual(descr.partition_start, 1)
self.assertEqual(descr.partition_id, 0)
self.assertEqual(descr.picture_id, None)
self.assertEqual(descr.tl0picidx, None)
self.assertEqual(descr.tid, None)
self.assertEqual(descr.keyidx, 31)
self.assertEqual(bytes(descr), b'\x90\x10\x1f')
self.assertEqual(rest, b'')
class Vp8Test(TestCase):
def test_assert(self):
with self.assertRaises(Exception) as cm:
_vpx_assert(1)
self.assertEqual(str(cm.exception), 'libvpx error: Unspecified internal error')
def test_decoder(self):
decoder = get_decoder(VP8_CODEC)
self.assertTrue(isinstance(decoder, VpxDecoder))
def test_encoder(self):
encoder = get_encoder(VP8_CODEC)
self.assertTrue(isinstance(encoder, VpxEncoder))
frame = VideoFrame(width=320, height=240)
payloads = encoder.encode(frame)
self.assertEqual(len(payloads), 1)
self.assertTrue(len(payloads[0]) < 1300)
def test_encoder_large(self):
encoder = get_encoder(VP8_CODEC)
self.assertTrue(isinstance(encoder, VpxEncoder))
frame = VideoFrame(width=2560, height=1920)
payloads = encoder.encode(frame)
self.assertEqual(len(payloads), 7)
self.assertEqual(len(payloads[0]), 1300)
| [
"[email protected]"
] | |
b4d624563bfde2acc7337c773ee6135ca29b3bc1 | 6af81c1e3853255f064ce58e848b34211decdd23 | /test/top/api/rest/SubuserDutyDeleteRequest.py | 4915d8f74cdf40234090e02dd520a45fee58387f | [] | no_license | dacy413/TBAutoTool | d472445f54f0841f2cd461d48ec6181ae2182d92 | ca7da4638d38dd58e38c680ee03aaccf575bce7b | refs/heads/master | 2016-09-06T16:13:01.633177 | 2015-02-01T00:04:50 | 2015-02-01T00:04:50 | 29,625,228 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 339 | py | '''
Created by auto_sdk on 2015-01-20 12:36:26
'''
from top.api.base import RestApi
class SubuserDutyDeleteRequest(RestApi):
def __init__(self,domain='gw.api.taobao.com',port=80):
RestApi.__init__(self,domain, port)
self.duty_id = None
self.user_nick = None
def getapiname(self):
return 'taobao.subuser.duty.delete'
| [
"[email protected]"
] | |
adae908424c30f9d4e86f3532d053d8c5c4642a4 | 10f746943f2b6399bddf1fc79e16b2eec8b1bb0b | /gateway/dummy_secrets.py | 26986ea41ef76635f3cf6205f617a66f5da5ab9b | [] | no_license | edgecollective/belfast-harbor | 1fa5977a46222f9178a5912ece72beb17891f5e1 | 5149eca44e95bf0525601249116ab23e59c15c0f | refs/heads/master | 2020-09-20T14:16:00.411551 | 2019-11-29T13:02:49 | 2019-11-29T13:02:49 | 224,507,873 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 169 | py | secrets = {
'ssid' : b'Your WiFi SSID',
'password' : b'Your WiFi Password',
'farmos_pubkey' : 'farmos_pubkey',
'farmos_privkey' : 'farmos_privkey'
}
| [
"[email protected]"
] | |
22232bd5654c414b046f470cef574422936a962c | de1b2cfca42e495257a0f50bed026d42d35ecc97 | /flaskr/__init__.py | 60787156af6e1f0acfafab34d4efb49016cb91eb | [] | no_license | miniyk2012/miniyk2012-flask_tutorial | ad971a000b78b0267f33b40924f03154b0b84173 | 760d59b8c3ec534cdeb7c198d1adb61493b1bfff | refs/heads/master | 2023-01-11T14:57:38.931170 | 2019-06-04T22:39:09 | 2019-06-04T22:39:09 | 189,253,167 | 0 | 0 | null | 2022-12-26T20:56:11 | 2019-05-29T15:34:03 | Python | UTF-8 | Python | false | false | 1,465 | py | import os
from flask import (
Flask, current_app
)
def create_app(test_config=None):
"""
create_app是默认的名称, flask run的时候会自动来运行这个函数
:param test_config:
:return:
"""
# create and configure the app
app: Flask = Flask(__name__, instance_relative_config=True)
# print(app.instance_path) # /Users/thomas_young/Documents/code/flask_project/instance
app.config.from_mapping(
SECRET_KEY='dev',
DATABASE=os.path.join(app.instance_path, 'flaskr.sqlite'),
)
if test_config is None:
# load the instance config, if it exists, when not testing
ret = app.config.from_pyfile('config.py', silent=True)
print('load the config.py ' + ('success' if ret else 'fail'))
else:
# load the test config if passed in
app.config.from_mapping(test_config)
# ensure the instance folder exists
try:
print('make instance_path', app.instance_path)
os.makedirs(app.instance_path)
except OSError as e:
pass
# a simple page that says hello
def hello():
print(f'current app url map is {current_app.url_map}')
return 'Hello, World!'
app.add_url_rule('/hello', view_func=hello)
from . import db
db.init_app(app)
from . import auth
app.register_blueprint(auth.bp)
from . import blog
app.register_blueprint(blog.bp)
app.add_url_rule('/', 'index')
return app | [
"[email protected]"
] | |
b7405fe0659fd9354d9865949d27d48e40c6325b | c4c159a21d2f1ea0d7dfaa965aeff01c8ef70dce | /flask/flaskenv/Lib/site-packages/tensorflow/python/ops/gen_sdca_ops.py | b1922e0314101ad623bed622fb34e7b337445bdc | [] | no_license | AhsonAslam/webapi | 54cf7466aac4685da1105f9fb84c686e38f92121 | 1b2bfa4614e7afdc57c9210b0674506ea70b20b5 | refs/heads/master | 2020-07-27T06:05:36.057953 | 2019-09-17T06:35:33 | 2019-09-17T06:35:33 | 208,895,450 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 130 | py | version https://git-lfs.github.com/spec/v1
oid sha256:167888a5bf0cec33f73cc87d5babc3869f495c2487658426b093ec2660b669c6
size 52962
| [
"github@cuba12345"
] | github@cuba12345 |
8d4ca6034e19b706a0458c0d23b1c7812275cd6a | c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c | /cases/synthetic/tree-big-5322.py | e6c1b10aae1c9db3342d47a6709c5908090674fb | [] | no_license | Virtlink/ccbench-chocopy | c3f7f6af6349aff6503196f727ef89f210a1eac8 | c7efae43bf32696ee2b2ee781bdfe4f7730dec3f | refs/heads/main | 2023-04-07T15:07:12.464038 | 2022-02-03T15:42:39 | 2022-02-03T15:42:39 | 451,969,776 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 23,287 | py | # Binary-search trees
class TreeNode(object):
value:int = 0
left:"TreeNode" = None
right:"TreeNode" = None
def insert(self:"TreeNode", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode(x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode(x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode2(object):
value:int = 0
value2:int = 0
left:"TreeNode2" = None
left2:"TreeNode2" = None
right:"TreeNode2" = None
right2:"TreeNode2" = None
def insert(self:"TreeNode2", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode2(x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode2(x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode2", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode2(x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode2(x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode2", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode2", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode3(object):
value:int = 0
value2:int = 0
value3:int = 0
left:"TreeNode3" = None
left2:"TreeNode3" = None
left3:"TreeNode3" = None
right:"TreeNode3" = None
right2:"TreeNode3" = None
right3:"TreeNode3" = None
def insert(self:"TreeNode3", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode3(x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode3(x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode3", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode3(x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode3(x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert3(self:"TreeNode3", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode3(x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode3(x, x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode3", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode3", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains3(self:"TreeNode3", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode4(object):
value:int = 0
value2:int = 0
value3:int = 0
value4:int = 0
left:"TreeNode4" = None
left2:"TreeNode4" = None
left3:"TreeNode4" = None
left4:"TreeNode4" = None
right:"TreeNode4" = None
right2:"TreeNode4" = None
right3:"TreeNode4" = None
right4:"TreeNode4" = None
def insert(self:"TreeNode4", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode4", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert3(self:"TreeNode4", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert4(self:"TreeNode4", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode4", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode4", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains3(self:"TreeNode4", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains4(self:"TreeNode4", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode5(object):
value:int = 0
value2:int = 0
value3:int = 0
value4:int = 0
value5:int = 0
left:"TreeNode5" = None
left2:"TreeNode5" = None
left3:"TreeNode5" = None
left4:"TreeNode5" = None
left5:"TreeNode5" = None
right:"TreeNode5" = None
right2:"TreeNode5" = None
right3:"TreeNode5" = None
right4:"TreeNode5" = None
right5:"TreeNode5" = None
def insert(self:"TreeNode5", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode5", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert3(self:"TreeNode5", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert4(self:"TreeNode5", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert5(self:"TreeNode5", x:int, x2:int, x3:int, x4:int, x5:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode5", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode5", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains3(self:"TreeNode5", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains4(self:"TreeNode5", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains5(self:"TreeNode5", x:int, x2:int, x3:int, x4:int, x5:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class Tree(object):
root:TreeNode = None
size:int = 0
def insert(self:"Tree", x:int) -> object:
if self.root is None:
self.root = makeNode(x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree2(object):
root:TreeNode2 = None
root2:TreeNode2 = None
size:int = 0
size2:int = 0
def insert(self:"Tree2", x:int) -> object:
if self.root is None:
self.root = makeNode2(x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree2", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode2(x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree2", x:int) -> bool:
if self.root is None:
return False
else:
return $Member.contains(x)
def contains2(self:"Tree2", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree3(object):
root:TreeNode3 = None
root2:TreeNode3 = None
root3:TreeNode3 = None
size:int = 0
size2:int = 0
size3:int = 0
def insert(self:"Tree3", x:int) -> object:
if self.root is None:
self.root = makeNode3(x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree3", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode3(x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert3(self:"Tree3", x:int, x2:int, x3:int) -> object:
if self.root is None:
self.root = makeNode3(x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree3", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree3", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains3(self:"Tree3", x:int, x2:int, x3:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree4(object):
root:TreeNode4 = None
root2:TreeNode4 = None
root3:TreeNode4 = None
root4:TreeNode4 = None
size:int = 0
size2:int = 0
size3:int = 0
size4:int = 0
def insert(self:"Tree4", x:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree4", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert3(self:"Tree4", x:int, x2:int, x3:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert4(self:"Tree4", x:int, x2:int, x3:int, x4:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree4", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree4", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains3(self:"Tree4", x:int, x2:int, x3:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains4(self:"Tree4", x:int, x2:int, x3:int, x4:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree5(object):
root:TreeNode5 = None
root2:TreeNode5 = None
root3:TreeNode5 = None
root4:TreeNode5 = None
root5:TreeNode5 = None
size:int = 0
size2:int = 0
size3:int = 0
size4:int = 0
size5:int = 0
def insert(self:"Tree5", x:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree5", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert3(self:"Tree5", x:int, x2:int, x3:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert4(self:"Tree5", x:int, x2:int, x3:int, x4:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert5(self:"Tree5", x:int, x2:int, x3:int, x4:int, x5:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree5", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree5", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains3(self:"Tree5", x:int, x2:int, x3:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains4(self:"Tree5", x:int, x2:int, x3:int, x4:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains5(self:"Tree5", x:int, x2:int, x3:int, x4:int, x5:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def makeNode(x: int) -> TreeNode:
b:TreeNode = None
b = TreeNode()
b.value = x
return b
def makeNode2(x: int, x2: int) -> TreeNode2:
b:TreeNode2 = None
b2:TreeNode2 = None
b = TreeNode2()
b.value = x
return b
def makeNode3(x: int, x2: int, x3: int) -> TreeNode3:
b:TreeNode3 = None
b2:TreeNode3 = None
b3:TreeNode3 = None
b = TreeNode3()
b.value = x
return b
def makeNode4(x: int, x2: int, x3: int, x4: int) -> TreeNode4:
b:TreeNode4 = None
b2:TreeNode4 = None
b3:TreeNode4 = None
b4:TreeNode4 = None
b = TreeNode4()
b.value = x
return b
def makeNode5(x: int, x2: int, x3: int, x4: int, x5: int) -> TreeNode5:
b:TreeNode5 = None
b2:TreeNode5 = None
b3:TreeNode5 = None
b4:TreeNode5 = None
b5:TreeNode5 = None
b = TreeNode5()
b.value = x
return b
# Input parameters
n:int = 100
n2:int = 100
n3:int = 100
n4:int = 100
n5:int = 100
c:int = 4
c2:int = 4
c3:int = 4
c4:int = 4
c5:int = 4
# Data
t:Tree = None
t2:Tree = None
t3:Tree = None
t4:Tree = None
t5:Tree = None
i:int = 0
i2:int = 0
i3:int = 0
i4:int = 0
i5:int = 0
k:int = 37813
k2:int = 37813
k3:int = 37813
k4:int = 37813
k5:int = 37813
# Crunch
t = Tree()
while i < n:
t.insert(k)
k = (k * 37813) % 37831
if i % c != 0:
t.insert(i)
i = i + 1
print(t.size)
for i in [4, 8, 15, 16, 23, 42]:
if t.contains(i):
print(i)
| [
"[email protected]"
] | |
2d7bca278667a97eb99f961aef8b06561c6dc55a | 6bf492920985e3741440ba53e1c7f8426b66ac1f | /snakemake_rules/rules/kpal/kpal_matrix.smk | e0f458d60c5838003d24e753e3360530f55ba0b6 | [
"MIT"
] | permissive | ukaraoz/snakemake-rules | 5b2ba7c9ec19d88b56067a46f66fd0c72e48c368 | 07e96afeb39307cdf35ecc8482dc1f8b62c120b9 | refs/heads/master | 2020-03-31T15:20:44.444006 | 2018-09-07T08:53:47 | 2018-09-07T08:53:47 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 734 | smk | # -*- snakemake -*-
include: "kpal.settings.smk"
config_default = {'kpal' :{'matrix' : _kpal_config_rule_default.copy()}}
config_default['kpal']['matrix'].update({'options' : "-m -S"})
update_config(config_default, config)
config = config_default
rule kpal_matrix:
"""kpal: generate matrix."""
params: cmd = config['kpal']['cmd'],
options = config['kpal']['matrix']['options'],
runtime = config['kpal']['matrix']['runtime']
wildcard_constraints: kmer = "[0-9]+"
input: kmer = "{prefix}.k{kmer}"
output: res = "{prefix}.k{kmer}.mat"
threads: config['kpal']['matrix']['threads']
conda: "env.yaml"
shell:
"{params.cmd} matrix {params.options} {input.kmer} {output.res}"
| [
"[email protected]"
] | |
bce20665fafee5860f3d0874347ff4fa12928558 | 1fa6c2650c791e35feaf57b87e832613e98797dd | /LeetCode/Binary Search/! M Search in Rotated Sorted Array.py | 1f36ebf53459a4ab0e059c0dfdc4cadc8b3a3ba8 | [] | no_license | hz336/Algorithm | 415a37313a068478225ca9dd1f6d85656630f09a | 0d2d956d498742820ab39e1afe965425bfc8188f | refs/heads/master | 2021-06-17T05:24:17.030402 | 2021-04-18T20:42:37 | 2021-04-18T20:42:37 | 194,006,383 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,912 | py | """
Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand.
(i.e., [0,1,2,4,5,6,7] might become [4,5,6,7,0,1,2]).
You are given a target value to search. If found in the array return its index, otherwise return -1.
You may assume no duplicate exists in the array.
Your algorithm's runtime complexity must be in the order of O(log n).
Example 1:
Input: nums = [4,5,6,7,0,1,2], target = 0
Output: 4
Example 2:
Input: nums = [4,5,6,7,0,1,2], target = 3
Output: -1
"""
class Solution:
def search(self, nums: 'List[int]', target: 'int') -> 'int':
if nums is None or len(nums) == 0:
return -1
start, end = 0, len(nums) - 1
while start + 1 < end:
mid = start + (end - start) // 2
if nums[start] <= nums[mid]:
if nums[start] <= target <= nums[mid]:
end = mid
else:
start = mid
else:
if nums[mid] <= target <= nums[end]:
start = mid
else:
end = mid
if nums[start] == target:
return start
if nums[end] == target:
return end
return -1
"""
Follow up:
What if duplicates are allowed?
Would this affect the run-time complexity? How and why?
这个问题在面试中不会让实现完整程序
只需要举出能够最坏情况的数据是 [1,1,1,1... 1] 里有一个0即可。
在这种情况下是无法使用二分法的，复杂度是O(n)
因此写个for循环最坏也是O(n)，那就写个for循环就好了
如果你觉得，不是每个情况都是最坏情况，你想用二分法解决不是最坏情况的情况，那你就写一个二分吧。
反正面试考的不是你在这个题上会不会用二分法。这个题的考点是你想不想得到最坏情况。
"""
| [
"[email protected]"
] | |
9a28629a710d0c1e31f69b87934ebcc4916fe3e3 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03651/s284460411.py | 7a3cadd35f07b8049ff65e723cdebbfad6be1501 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 184 | py | import math
n,k=map(int,input().split())
a=list(map(int,input().split()))
c=a[0]
for m in a:
c=math.gcd(c,m)
if k %c==0 and k<=max(a):
print("POSSIBLE")
else:
print("IMPOSSIBLE") | [
"[email protected]"
] | |
02c8c0b816a3a71c169216770f654193fbcabcbc | b42879654055f320b7593358330eceb0c06ca1d8 | /Hao_Test/data_base_structure/find_element.py | e69721651ac8124e0efbbb28d25c7022d69684fd | [] | no_license | HaoREN211/python-scraping | de3b28b96fb43e47700a6a12b05db6800f583611 | c802748e9067e6dfd1e3736ccc20fbd34091f9e5 | refs/heads/master | 2020-07-18T23:09:23.380362 | 2019-10-22T01:50:28 | 2019-10-22T01:50:28 | 206,331,191 | 0 | 0 | null | 2019-09-04T13:53:26 | 2019-09-04T13:53:26 | null | UTF-8 | Python | false | false | 1,384 | py | # 作者：hao.ren3
# 时间：2019/10/16 18:25
# IDE：PyCharm
from python_scraping.Hao_Test.tools.sql import create_mysql_engine
from python_scraping.Hao_Test.data_base_structure.init_table import init_data_column_table, init_data_base_table, init_data_table_table
from sqlalchemy import MetaData
from sqlalchemy.orm.session import sessionmaker
if __name__ == "__main__":
my_engine = create_mysql_engine("hao_data_base_structure")
my_meta_data = MetaData(my_engine)
Session = sessionmaker(bind=my_engine)
session = Session()
table_data_base = init_data_base_table(mysql_meta_data=my_meta_data)
table_data_table = init_data_table_table(mysql_meta_data=my_meta_data)
table_data_column = init_data_column_table(mysql_meta_data=my_meta_data)
test = (table_data_column.select()
.join(table_data_table, table_data_column.c.data_table_id==table_data_table.c.id)
.join(table_data_base, table_data_column.c.data_base_id==table_data_base.c.id))
test = (session.query(table_data_base.c.name, table_data_table.c.name, table_data_column.c.name)
.join(table_data_table, table_data_column.c.data_table_id==table_data_table.c.id)
.join(table_data_base, table_data_column.c.data_base_id == table_data_base.c.id).all())
for current_row in test:
print(".".join(current_row))
my_engine.dispose() | [
"[email protected]"
] | |
8d445faa9047767aed6d3755c95e343884f082d2 | 1ba9e4754ee30e7f45aeb210918be489559dd281 | /books/migrations/0009_auto_20180325_1412.py | bfd85093ea4ebec5ee3296a3b5ef14517f90ccd8 | [] | no_license | muremwa/Django-Book-s-app | 330f36c402f0af59f8e9f81d9751b283602c4b1c | af6829332b5009955d4290ea67af459d2a6b8b69 | refs/heads/master | 2021-04-15T08:26:13.165957 | 2018-04-11T22:15:59 | 2018-04-11T22:15:59 | 126,845,409 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 575 | py | # Generated by Django 2.0 on 2018-03-25 11:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('books', '0008_book_votes'),
]
operations = [
migrations.AlterField(
model_name='author',
name='picture',
field=models.FileField(default='defaulta.png', upload_to=''),
),
migrations.AlterField(
model_name='book',
name='book_cover',
field=models.FileField(default='default.png', upload_to=''),
),
]
| [
"[email protected]"
] | |
03678610e296f6f34bf63062be58743d3ea319fa | b8dab6e1a07c4c95e0483df722a4188d44356c1e | /backend/endpoints/predict.py | 1864ccb83162f82efe89e660e6a5d3f5f4036d7e | [
"Apache-2.0"
] | permissive | maelstromdat/radon-defuse | 363578106ea6c63e9b2f33d648b208708a075c25 | 269f050a656d527712d88d39db9ae1d5642027bf | refs/heads/main | 2023-05-26T05:11:10.880316 | 2021-05-20T09:44:21 | 2021-05-20T09:44:21 | 370,704,590 | 2 | 0 | Apache-2.0 | 2021-05-25T13:34:38 | 2021-05-25T13:34:37 | null | UTF-8 | Python | false | false | 1,115 | py | import time
from flask import jsonify, make_response
from flask_restful import Resource, Api, reqparse
class Predict(Resource):
def __init__(self, **kwargs):
self.db = kwargs['db']
self.bucket = kwargs['bucket']
def get(self):
parser = reqparse.RequestParser()
parser.add_argument('id', type=str, required=True) # Model id
self.args = parser.parse_args() # parse arguments to dictionary
# Create Task
task_id = self.db.collection('tasks').add({
'name': 'predict',
'repository_id': self.args.get('id'),
'status': 'progress',
'started_at': time.time()
})[1].id
# Predict
# blob = self.bucket.blob(f'{self.args.get("id")}.joblib')
# b_model = blob.download_as_bytes()
# Save prediction in collection "predictions"?
doc_ref = self.db.collection('tasks').document(task_id)
doc_ref.update({
'status': 'completed',
'ended_at': time.time()
})
return make_response(jsonify({"failure-prone": True}), 200)
| [
"[email protected]"
] | |
4b42318ffa82918c518ea028234c2e01d56f329f | cdaaa92f45cac92b34610616fbcab738ebaf0b6d | /project1_22759/urls.py | 38ea80b67a152969b919267f41e06bcceea0bf19 | [] | no_license | crowdbotics-apps/project1-22759 | 9317debda23f0eeb7dd8b4bc542297a7971ad016 | 92a80c481f5601f8d4a89fb9921e5f6144824c99 | refs/heads/master | 2023-01-13T11:38:02.933334 | 2020-11-19T04:31:04 | 2020-11-19T04:31:04 | 314,136,194 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,919 | py | """project1_22759 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path, include
from allauth.account.views import confirm_email
from rest_framework import permissions
from drf_yasg.views import get_schema_view
from drf_yasg import openapi
urlpatterns = [
path("", include("home.urls")),
path("accounts/", include("allauth.urls")),
path("api/v1/", include("home.api.v1.urls")),
path("admin/", admin.site.urls),
path("users/", include("users.urls", namespace="users")),
path("rest-auth/", include("rest_auth.urls")),
# Override email confirm to use allauth's HTML view instead of rest_auth's API view
path("rest-auth/registration/account-confirm-email/<str:key>/", confirm_email),
path("rest-auth/registration/", include("rest_auth.registration.urls")),
]
admin.site.site_header = "Project1"
admin.site.site_title = "Project1 Admin Portal"
admin.site.index_title = "Project1 Admin"
# swagger
api_info = openapi.Info(
title="Project1 API",
default_version="v1",
description="API documentation for Project1 App",
)
schema_view = get_schema_view(
api_info,
public=True,
permission_classes=(permissions.IsAuthenticated,),
)
urlpatterns += [
path("api-docs/", schema_view.with_ui("swagger", cache_timeout=0), name="api_docs")
]
| [
"[email protected]"
] | |
dab8fddf7efb767eb07b5fd72e4b5956cb2acb34 | 00b7b6a30e8c851cc1f288370a49a593ee7e0172 | /bfrs/migrations/0021_auto_20190508_1443.py | 0a5c7528281c61467e60b81f2db616d45e428d65 | [] | no_license | rockychen-dpaw/bfrs | e907fd5dbceb8af9769a964990dfaab38bc76080 | f468794d1e36419f7bab718edad3f7b2939b82fa | refs/heads/master | 2021-04-29T19:02:40.930093 | 2020-01-15T03:01:37 | 2020-01-15T03:01:37 | 121,706,290 | 0 | 0 | null | 2018-02-16T02:05:40 | 2018-02-16T02:05:40 | null | UTF-8 | Python | false | false | 1,105 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2019-05-08 06:43
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('bfrs', '0020_auto_20190508_1247'),
]
operations = [
migrations.AddField(
model_name='cause',
name='report_name',
field=models.CharField(default=b'', max_length=50),
),
migrations.AddField(
model_name='cause',
name='report_order',
field=models.PositiveSmallIntegerField(default=1, verbose_name=b'order in annual report'),
),
migrations.AlterField(
model_name='tenure',
name='report_group_order',
field=models.PositiveSmallIntegerField(default=1, verbose_name=b'group order in annual report'),
),
migrations.AlterField(
model_name='tenure',
name='report_order',
field=models.PositiveSmallIntegerField(default=1, verbose_name=b'order in annual report'),
),
]
| [
"[email protected]"
] | |
6d6bb6382252a8618c4eb6a10a181d48b1d1f898 | 5919508f6fa3756b89b720ca9510423847af6b78 | /inputs/loop_helix_loop/get_lhl_distributions.py | ff2570fe3a5b8d20c96d739a23418c00e32f2f3a | [
"MIT"
] | permissive | karlyfear/protein_feature_analysis | 0cb87ee340cb1aa5e619d684ebf8040713fee794 | fa2ae8bc6eb7ecf17e8bf802ab30814461868114 | refs/heads/master | 2023-03-16T22:30:45.088924 | 2020-03-14T20:05:21 | 2020-03-14T20:05:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,168 | py | #!/usr/bin/env python3
'''Get distributions for LHL units.
Dump the distributions of various features to text files.
Usage:
./get_lhl_distributions.py pdbs_path lhl_info_path edges_file
'''
import os
import sys
import json
import numpy as np
import pyrosetta
from pyrosetta import rosetta
def xyzV_to_np_array(xyz):
return np.array([xyz.x, xyz.y, xyz.z])
def get_backbone_points(pose, residues):
'''Get backbone points for residues in a pose.'''
points = []
for res in residues:
for atom in ['N', 'CA', 'C']:
points.append(xyzV_to_np_array(pose.residue(res).xyz(atom)))
return points
def calc_backbone_RMSD(pose1, residues1, pose2, residues2):
'''Calculate backbone RMSD between two poses for specific positions.'''
assert(len(residues1) == len(residues2))
def RMSD(points1, poinsts2):
'''Calcualte RMSD between two lists of numpy points.'''
diff = [points1[i] - poinsts2[i] for i in range(len(points1))]
return np.sqrt(sum(np.dot(d, d) for d in diff) / len(diff))
points1 = get_backbone_points(pose1, residues1)
points2 = get_backbone_points(pose2, residues2)
return RMSD(points1, points2)
def get_helix_direction(pose, helix_start, helix_stop):
'''Get the helix direction.
The direction is defined as the average of the C-O vectors.
'''
c_o_vectors = [pose.residue(i).xyz('O') - pose.residue(i).xyz('C')
for i in range(helix_start, helix_stop + 1)]
sum_vecs = c_o_vectors[0]
for i in range(1, len(c_o_vectors)):
sum_vecs += c_o_vectors[i]
return sum_vecs.normalized()
def get_lhl_lengths(lhl_infos):
'''Get the distribution of LHL lengths.'''
return [lhl['stop'] - lhl['start'] + 1 for lhl in lhl_infos]
def get_front_loop_lengths(lhl_infos):
'''Get the distribution of front loop lengths of LHL units.'''
return [lhl['H_start'] - lhl['start'] for lhl in lhl_infos]
def get_back_loop_lengths(lhl_infos):
'''Get the distribution of back loop lengths of LHL units.'''
return [lhl['stop'] - lhl['H_stop'] for lhl in lhl_infos]
def get_lhl_pair_helix_length_diffs(lhl_infos, edges):
'''Get the helix length difference between pairs of LHL units.'''
length_diffs = []
for i, j in edges:
length1 = lhl_infos[i]['H_stop'] - lhl_infos[i]['H_start'] + 1
length2 = lhl_infos[j]['H_stop'] - lhl_infos[j]['H_start'] + 1
length_diffs.append(np.absolute(length1 - length2))
return length_diffs
def get_lhl_pair_length_diffs(lhl_infos, edges):
'''Get the length difference between pairs of LHL units.'''
length_diffs = []
for i, j in edges:
length1 = lhl_infos[i]['stop'] - lhl_infos[i]['start'] + 1
length2 = lhl_infos[j]['stop'] - lhl_infos[j]['start'] + 1
length_diffs.append(np.absolute(length1 - length2))
return length_diffs
def get_lhl_pair_helix_rmsds(poses_map, lhl_infos, edges):
'''Get the helix backbone RMSDs between pairs of LHL units'''
rmsds = []
for i, j in edges:
length1 = lhl_infos[i]['H_stop'] - lhl_infos[i]['H_start'] + 1
length2 = lhl_infos[j]['H_stop'] - lhl_infos[j]['H_start'] + 1
len_comp = min(length1, length2)
h_mid_start1 = (lhl_infos[i]['H_start'] + lhl_infos[i]['H_stop'] - len_comp) // 2
h_mid_start2 = (lhl_infos[j]['H_start'] + lhl_infos[j]['H_stop'] - len_comp) // 2
residues1 = [h_mid_start1 + k for k in range(len_comp)]
residues2 = [h_mid_start2 + k for k in range(len_comp)]
rmsds.append(calc_backbone_RMSD(poses_map[lhl_infos[i]['pdb_file']], residues1,
poses_map[lhl_infos[j]['pdb_file']], residues2))
return rmsds
def get_lhl_pair_rmsds(poses_map, lhl_infos, edges):
'''Get the backbone RMSDs between pairs of LHL units'''
rmsds = []
for i, j in edges:
length1 = lhl_infos[i]['stop'] - lhl_infos[i]['start'] + 1
length2 = lhl_infos[j]['stop'] - lhl_infos[j]['start'] + 1
len_comp = min(length1, length2)
residues1 = [lhl_infos[i]['start'] + k for k in range(len_comp)]
residues2 = [lhl_infos[j]['start'] + k for k in range(len_comp)]
rmsds.append(calc_backbone_RMSD(poses_map[lhl_infos[i]['pdb_file']], residues1,
poses_map[lhl_infos[j]['pdb_file']], residues2))
return rmsds
def get_lhl_pair_helicies_angles(poses_map, lhl_infos, edges):
'''Get the angles between helices of pairs of LHL units'''
angles = []
for i, j in edges:
helix_direction1 = get_helix_direction(poses_map[lhl_infos[i]['pdb_file']], lhl_infos[i]['H_start'], lhl_infos[i]['H_stop'])
helix_direction2 = get_helix_direction(poses_map[lhl_infos[j]['pdb_file']], lhl_infos[j]['H_start'], lhl_infos[j]['H_stop'])
cos_angle = helix_direction1.dot(helix_direction2)
angles.append(180 / np.pi * np.arccos(cos_angle))
return angles
def dump_distribution(data, data_name):
'''Dump a distribution to a text file'''
with open('{0}.txt'.format(data_name), 'w') as f:
for d in data:
f.write('{0}\n'.format(d))
def get_lhl_distributions(pdbs_path, lhl_info_path, edges_file):
'''Get LHL distributions'''
# Load the pdbs
poses_map = {}
for pdb_file in os.listdir(pdbs_path):
poses_map[pdb_file] = rosetta.core.import_pose.pose_from_file(os.path.join(pdbs_path, pdb_file))
# Load the lhl_infos
lhl_infos = []
for lhl_info_file in os.listdir(lhl_info_path):
with open(os.path.join(lhl_info_path, lhl_info_file), 'r') as f:
lhl_info = json.load(f)
lhl_infos += lhl_info
# Load the edges
with open(edges_file, 'r') as f:
edges = json.load(f)
# Calcualte and dump the distributions
# lhl_lengths = get_lhl_lengths(lhl_infos)
# dump_distribution(lhl_lengths, 'lhl_lengths')
#
# front_loop_lengths = get_front_loop_lengths(lhl_infos)
# dump_distribution(front_loop_lengths, 'front_loop_lengths')
#
# back_loop_lengths = get_back_loop_lengths(lhl_infos)
# dump_distribution(back_loop_lengths, 'back_loop_lengths')
#
lhl_pair_helix_length_diffs = get_lhl_pair_helix_length_diffs(lhl_infos, edges)
dump_distribution(lhl_pair_helix_length_diffs, 'lhl_pair_helix_length_diffs')
#
# lhl_pair_length_diffs = get_lhl_pair_length_diffs(lhl_infos, edges)
# dump_distribution(lhl_pair_length_diffs, 'lhl_pair_length_diffs')
#
lhl_pair_helix_rmsds = get_lhl_pair_helix_rmsds(poses_map, lhl_infos, edges)
dump_distribution(lhl_pair_helix_rmsds, 'lhl_pair_helix_rmsds')
#
# lhl_pair_rmsds = get_lhl_pair_rmsds(poses_map, lhl_infos, edges)
# dump_distribution(lhl_pair_rmsds, 'lhl_pair_rmsds')
#
# lhl_pair_helices_angles = get_lhl_pair_helicies_angles(poses_map, lhl_infos, edges)
# dump_distribution(lhl_pair_helices_angles, 'lhl_pair_helices_angles')
if __name__ == '__main__':
pdbs_path = sys.argv[1]
lhl_info_path = sys.argv[2]
edges_file = sys.argv[3]
pyrosetta.init(options='-ignore_unrecognized_res true')
get_lhl_distributions(pdbs_path, lhl_info_path, edges_file)
| [
"[email protected]"
] | |
0ebec273c17fa7bf8132a5c77df524c49eb07764 | df92ea5a3206b2b920086203b3fe0f48ac106d15 | /django_docs/onetomany/migrations/0002_car_model.py | 6f2951bba6f495c61b627f23e5b211b0d054afe5 | [
"MIT"
] | permissive | miscreant1/django_tutorial | b354ea5c28224fe9e3612301e146d0c6a8778f28 | 736743be66d83ec579b22a0378381042f5207f38 | refs/heads/master | 2022-04-24T17:48:10.724609 | 2020-04-27T07:52:24 | 2020-04-27T07:52:24 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 460 | py | # Generated by Django 3.0.5 on 2020-04-20 02:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('onetomany', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='car',
name='model',
field=models.CharField(default='소나타', max_length=40, verbose_name='자동차모델'),
preserve_default=False,
),
]
| [
"[email protected]"
] | |
9146864977a7d2fe9dc29fbd998218d7d8de3ff8 | fdf3a655e46424050790540add959c4b0bd308b3 | /src/yacctab.py | bc401bd6a9f1ff37a98345f8486ea8d2c6d241e7 | [] | no_license | bernielampe1/ast_js_fuzzing | 5e456d500e5d9084f279e18f977d1f306222f11f | 8be0b49ca5b341270957c0e940471da31590222c | refs/heads/master | 2023-05-29T19:09:58.151434 | 2021-06-15T15:33:36 | 2021-06-15T15:33:36 | 377,209,772 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 173,068 | py |
# yacctab.py
# This file is automatically generated. Do not edit.
_tabversion = '3.2'
_lr_method = 'LALR'
_lr_signature = '\xbd\xf5(\x01\x93\xb1\xff>#\x00}\x88\xda\x97f\xde'
_lr_action_items = 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_lr_action = { }
for _k, _v in _lr_action_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_action: _lr_action[_x] = { }
_lr_action[_x][_k] = _y
del _lr_action_items
_lr_goto_items = {'logical_or_expr_nobf':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,]),'throw_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,]),'boolean_literal':([0,6,7,10,11,23,25,26,30,40,44,48,54,68,83,84,88,89,90,92,98,120,121,122,123,124,126,146,149,150,151,152,155,158,160,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,379,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,414,416,417,428,430,435,437,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,]),'bitwise_or_expr':([26,83,88,89,92,146,149,158,160,168,170,175,207,210,226,236,241,259,270,273,274,275,340,341,348,400,403,408,416,428,437,440,480,483,487,499,],[130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,363,130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,130,]),'property_assignment':([104,346,],[231,425,]),'logical_and_expr_noin':([155,402,404,405,406,441,485,],[286,286,286,286,462,286,286,]),'iteration_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,]),'variable_declaration_noin':([287,438,],[386,478,]),'source_element_list':([0,44,382,430,435,471,475,494,522,524,],[7,7,7,7,7,7,7,7,7,7,]),'function_expr':([0,6,7,10,11,23,25,26,30,40,44,48,54,68,83,84,88,89,90,92,98,120,121,122,123,124,126,146,149,150,151,152,155,158,160,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,379,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,414,416,417,428,430,435,437,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[8,107,8,107,107,107,107,107,107,107,8,107,107,8,107,107,107,107,8,107,107,107,107,107,107,107,8,107,107,107,107,107,107,107,107,107,107,8,8,107,8,107,107,107,107,107,107,107,107,107,107,8,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,8,8,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,107,8,107,8,107,8,8,107,107,107,8,8,107,107,8,107,107,8,8,107,8,8,8,8,8,8,]),'multiplicative_expr':([26,83,88,89,92,120,121,122,123,124,146,149,155,158,160,168,170,175,182,183,184,185,186,187,188,189,190,191,207,210,226,236,241,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,416,428,437,440,441,480,483,485,487,499,],[128,128,128,128,128,128,128,128,246,247,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,373,374,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,128,]),'finally':([161,309,],[308,412,]),'program':([0,],[9,]),'case_block':([415,],[466,]),'formal_parameter_list':([153,285,342,],[282,383,421,]),'new_expr_nobf':([0,7,44,68,90,126,171,174,181,192,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,12,]),'try_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,13,]),'element_list':([4,],[91,]),'relational_expr':([26,83,88,89,92,146,149,158,160,168,170,175,182,183,184,185,207,210,226,236,241,258,259,263,264,265,266,267,270,273,274,275,276,340,341,348,396,397,398,399,400,403,408,416,428,437,440,480,483,487,499,],[129,129,129,129,129,129,129,129,129,129,129,129,324,325,326,327,129,129,129,129,129,129,129,129,368,369,370,371,129,129,129,129,129,129,129,129,449,450,451,452,129,129,129,129,129,129,129,129,129,129,129,]),'primary_expr_no_brace':([0,6,7,10,11,23,25,26,30,40,44,48,54,68,83,84,88,89,90,92,98,120,121,122,123,124,126,146,149,150,151,152,155,158,160,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,379,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,414,416,417,428,430,435,437,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[15,102,15,102,102,102,102,102,102,102,15,102,102,15,102,102,102,102,15,102,102,102,102,102,102,102,15,102,102,102,102,102,102,102,102,102,102,15,15,102,15,102,102,102,102,102,102,102,102,102,102,15,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,15,15,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,102,15,102,15,102,15,15,102,102,102,15,15,102,102,15,102,102,15,15,102,15,15,15,15,15,15,]),'variable_declaration_list_noin':([287,],[387,]),'null_literal':([0,6,7,10,11,23,25,26,30,40,44,48,54,68,83,84,88,89,90,92,98,120,121,122,123,124,126,146,149,150,151,152,155,158,160,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,379,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,414,416,417,428,430,435,437,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,]),'labelled_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,19,]),'expr_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,]),'logical_and_expr':([26,83,88,89,92,146,149,158,160,168,170,175,207,210,226,236,241,270,273,274,275,340,341,348,400,403,408,416,428,437,440,480,483,487,499,],[131,131,131,131,131,131,131,131,131,131,131,131,131,131,131,131,131,131,131,376,131,131,131,131,131,131,131,131,131,131,131,131,131,131,131,]),'additive_expr_nobf':([0,7,44,68,90,126,171,174,181,192,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,]),'primary_expr':([6,10,11,23,25,26,30,40,48,54,83,84,88,89,92,98,120,121,122,123,124,146,149,150,151,152,155,158,160,168,170,175,182,183,184,185,186,187,188,189,190,191,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,416,428,437,440,441,480,483,485,487,499,],[108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,108,]),'identifier':([0,6,7,10,11,17,23,25,26,30,37,40,44,47,48,54,66,68,83,84,88,89,90,92,96,98,104,120,121,122,123,124,126,146,149,150,151,152,153,155,157,158,160,167,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,225,226,235,236,240,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,285,287,340,341,342,346,348,379,381,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,411,414,416,417,428,430,435,437,438,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[24,110,24,110,110,118,110,110,110,110,154,110,24,165,110,110,178,24,110,110,110,110,110,110,220,110,232,110,110,110,110,110,24,110,110,110,110,110,284,110,301,110,110,313,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,344,110,349,110,118,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,284,388,110,110,284,232,110,24,431,24,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,110,464,24,110,24,110,24,24,110,479,110,110,24,24,110,110,24,110,110,24,24,110,24,24,24,24,24,24,]),'bitwise_xor_expr_nobf':([0,7,44,68,90,126,174,181,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[53,53,53,53,53,53,53,323,53,53,53,53,53,53,53,53,53,53,53,53,53,53,53,53,53,]),'relational_expr_noin':([155,385,394,395,401,402,404,405,406,441,485,],[288,288,288,288,288,288,288,288,288,288,288,]),'with_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,28,]),'case_clauses_opt':([467,510,],[489,523,]),'initializer':([118,],[242,]),'break_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,29,]),'bitwise_and_expr_noin':([155,385,395,401,402,404,405,406,441,485,],[289,289,448,289,289,289,289,289,289,289,]),'switch_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,31,]),'property_list':([104,],[229,]),'postfix_expr':([6,10,11,23,25,26,30,40,48,83,84,88,89,92,120,121,122,123,124,146,149,150,151,152,155,158,160,168,170,175,182,183,184,185,186,187,188,189,190,191,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,416,428,437,440,441,480,483,485,487,499,],[100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,100,]),'source_elements':([0,44,382,430,435,471,475,494,522,524,],[33,162,432,432,432,432,432,432,529,531,]),'shift_expr':([26,83,88,89,92,146,149,155,158,160,168,170,175,182,183,184,185,186,187,188,189,190,191,207,210,226,236,241,252,253,254,255,256,257,258,259,263,264,265,266,267,270,273,274,275,276,340,341,348,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,416,428,437,440,441,480,483,485,487,499,],[132,132,132,132,132,132,132,290,132,132,132,132,132,132,132,132,132,328,329,330,331,332,333,132,132,132,132,132,356,357,358,359,360,361,132,132,132,132,132,132,132,132,132,132,132,132,132,132,132,290,442,443,444,445,446,290,290,132,132,132,132,132,290,290,132,290,290,290,132,132,132,132,132,290,132,132,290,132,132,]),'expr_nobf':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,34,]),'expr_opt':([400,437,483,499,],[453,477,503,518,]),'multiplicative_expr_nobf':([0,7,44,68,90,126,171,174,181,192,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,35,]),'continue_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,36,]),'argument_list':([160,],[304,]),'expr_noin_opt':([155,],[294,]),'string_literal':([0,6,7,10,11,23,25,26,30,40,44,48,54,68,83,84,88,89,90,92,98,104,120,121,122,123,124,126,146,149,150,151,152,155,158,160,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,346,348,379,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,414,416,417,428,430,435,437,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,234,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,234,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,38,]),'call_expr_nobf':([0,7,44,68,90,126,171,174,181,192,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,41,]),'bitwise_xor_expr_noin':([155,385,401,402,404,405,406,441,485,],[291,291,456,291,291,291,291,291,291,]),'variable_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,43,]),'object_literal':([6,10,11,23,25,26,30,40,48,54,83,84,88,89,92,98,120,121,122,123,124,146,149,150,151,152,155,158,160,168,170,175,182,183,184,185,186,187,188,189,190,191,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,416,428,437,440,441,480,483,485,487,499,],[105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105,105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146,149,150,151,152,155,158,160,168,170,171,174,175,181,182,183,184,185,186,187,188,189,190,191,192,207,210,226,236,241,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,270,271,272,273,274,275,276,340,341,348,379,382,385,389,390,391,392,393,394,395,396,397,398,399,400,401,402,403,404,405,406,408,414,416,417,428,430,435,437,440,441,471,475,480,483,484,485,487,493,494,499,502,519,521,522,524,526,],[81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,81,]),'left_hand_side_expr_nobf':([0,7,44,68,90,126,171,174,181,192,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[82,82,82,82,213,82,213,213,213,213,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,82,]),'assignment_expr_noin':([155,402,404,405,441,485,],[293,457,460,461,482,505,]),'elision_opt':([4,215,],[92,341,]),'bitwise_and_expr':([26,83,88,89,92,146,149,158,160,168,170,175,207,210,226,236,241,258,259,263,270,273,274,275,340,341,348,400,403,408,416,428,437,440,480,483,487,499,],[144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,367,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,144,]),'block':([0,7,42,44,68,126,306,379,382,414,417,430,435,471,475,484,486,493,494,502,519,521,522,524,526,],[50,50,161,50,50,50,410,50,50,50,50,50,50,50,50,50,506,50,50,50,50,50,50,50,50,]),'debugger_statement':([0,7,44,68,126,379,382,414,417,430,435,471,475,484,493,494,502,519,521,522,524,526,],[62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,62,]),}
_lr_goto = { }
for _k, _v in _lr_goto_items.items():
for _x,_y in zip(_v[0],_v[1]):
if not _x in _lr_goto: _lr_goto[_x] = { }
_lr_goto[_x][_k] = _y
del _lr_goto_items
_lr_productions = [
("S' -> program","S'",1,None,None,None),
('empty -> <empty>','empty',0,'p_empty','/home/alienoid/dev/python/slimit/src/slimit/parser.py',67),
('auto_semi -> error','auto_semi',1,'p_auto_semi','/home/alienoid/dev/python/slimit/src/slimit/parser.py',71),
('program -> source_elements','program',1,'p_program','/home/alienoid/dev/python/slimit/src/slimit/parser.py',99),
('source_elements -> empty','source_elements',1,'p_source_elements','/home/alienoid/dev/python/slimit/src/slimit/parser.py',103),
('source_elements -> source_element_list','source_elements',1,'p_source_elements','/home/alienoid/dev/python/slimit/src/slimit/parser.py',104),
('source_element_list -> source_element','source_element_list',1,'p_source_element_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',109),
('source_element_list -> source_element_list source_element','source_element_list',2,'p_source_element_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',110),
('source_element -> statement','source_element',1,'p_source_element','/home/alienoid/dev/python/slimit/src/slimit/parser.py',119),
('source_element -> function_declaration','source_element',1,'p_source_element','/home/alienoid/dev/python/slimit/src/slimit/parser.py',120),
('statement -> block','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',125),
('statement -> variable_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',126),
('statement -> empty_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',127),
('statement -> expr_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',128),
('statement -> if_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',129),
('statement -> iteration_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',130),
('statement -> continue_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',131),
('statement -> break_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',132),
('statement -> return_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',133),
('statement -> with_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',134),
('statement -> switch_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',135),
('statement -> labelled_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',136),
('statement -> throw_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',137),
('statement -> try_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',138),
('statement -> debugger_statement','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',139),
('statement -> function_declaration','statement',1,'p_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',140),
('block -> LBRACE source_elements RBRACE','block',3,'p_block','/home/alienoid/dev/python/slimit/src/slimit/parser.py',147),
('literal -> null_literal','literal',1,'p_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',151),
('literal -> boolean_literal','literal',1,'p_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',152),
('literal -> numeric_literal','literal',1,'p_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',153),
('literal -> string_literal','literal',1,'p_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',154),
('literal -> regex_literal','literal',1,'p_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',155),
('boolean_literal -> TRUE','boolean_literal',1,'p_boolean_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',160),
('boolean_literal -> FALSE','boolean_literal',1,'p_boolean_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',161),
('null_literal -> NULL','null_literal',1,'p_null_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',166),
('numeric_literal -> NUMBER','numeric_literal',1,'p_numeric_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',170),
('string_literal -> STRING','string_literal',1,'p_string_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',174),
('regex_literal -> REGEX','regex_literal',1,'p_regex_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',178),
('identifier -> ID','identifier',1,'p_identifier','/home/alienoid/dev/python/slimit/src/slimit/parser.py',182),
('primary_expr -> primary_expr_no_brace','primary_expr',1,'p_primary_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',189),
('primary_expr -> object_literal','primary_expr',1,'p_primary_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',190),
('primary_expr_no_brace -> identifier','primary_expr_no_brace',1,'p_primary_expr_no_brace_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',195),
('primary_expr_no_brace -> THIS','primary_expr_no_brace',1,'p_primary_expr_no_brace_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',201),
('primary_expr_no_brace -> literal','primary_expr_no_brace',1,'p_primary_expr_no_brace_3','/home/alienoid/dev/python/slimit/src/slimit/parser.py',205),
('primary_expr_no_brace -> array_literal','primary_expr_no_brace',1,'p_primary_expr_no_brace_3','/home/alienoid/dev/python/slimit/src/slimit/parser.py',206),
('primary_expr_no_brace -> LPAREN expr RPAREN','primary_expr_no_brace',3,'p_primary_expr_no_brace_4','/home/alienoid/dev/python/slimit/src/slimit/parser.py',211),
('array_literal -> LBRACKET elision_opt RBRACKET','array_literal',3,'p_array_literal_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',216),
('array_literal -> LBRACKET element_list RBRACKET','array_literal',3,'p_array_literal_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',220),
('array_literal -> LBRACKET element_list COMMA elision_opt RBRACKET','array_literal',5,'p_array_literal_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',221),
('element_list -> elision_opt assignment_expr','element_list',2,'p_element_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',230),
('element_list -> element_list COMMA elision_opt assignment_expr','element_list',4,'p_element_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',231),
('elision_opt -> empty','elision_opt',1,'p_elision_opt_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',241),
('elision_opt -> elision','elision_opt',1,'p_elision_opt_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',245),
('elision -> COMMA','elision',1,'p_elision','/home/alienoid/dev/python/slimit/src/slimit/parser.py',249),
('elision -> elision COMMA','elision',2,'p_elision','/home/alienoid/dev/python/slimit/src/slimit/parser.py',250),
('object_literal -> LBRACE RBRACE','object_literal',2,'p_object_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',259),
('object_literal -> LBRACE property_list RBRACE','object_literal',3,'p_object_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',260),
('object_literal -> LBRACE property_list COMMA RBRACE','object_literal',4,'p_object_literal','/home/alienoid/dev/python/slimit/src/slimit/parser.py',261),
('property_list -> property_assignment','property_list',1,'p_property_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',269),
('property_list -> property_list COMMA property_assignment','property_list',3,'p_property_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',270),
('property_assignment -> property_name COLON assignment_expr','property_assignment',3,'p_property_assignment','/home/alienoid/dev/python/slimit/src/slimit/parser.py',280),
('property_name -> identifier','property_name',1,'p_property_name','/home/alienoid/dev/python/slimit/src/slimit/parser.py',285),
('property_name -> string_literal','property_name',1,'p_property_name','/home/alienoid/dev/python/slimit/src/slimit/parser.py',286),
('property_name -> numeric_literal','property_name',1,'p_property_name','/home/alienoid/dev/python/slimit/src/slimit/parser.py',287),
('member_expr -> primary_expr','member_expr',1,'p_member_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',293),
('member_expr -> function_expr','member_expr',1,'p_member_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',294),
('member_expr -> member_expr LBRACKET expr RBRACKET','member_expr',4,'p_member_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',295),
('member_expr -> member_expr PERIOD identifier','member_expr',3,'p_member_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',296),
('member_expr -> NEW member_expr arguments','member_expr',3,'p_member_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',297),
('member_expr_nobf -> primary_expr_no_brace','member_expr_nobf',1,'p_member_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',309),
('member_expr_nobf -> function_expr','member_expr_nobf',1,'p_member_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',310),
('member_expr_nobf -> member_expr_nobf LBRACKET expr RBRACKET','member_expr_nobf',4,'p_member_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',311),
('member_expr_nobf -> member_expr_nobf PERIOD identifier','member_expr_nobf',3,'p_member_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',312),
('member_expr_nobf -> NEW member_expr arguments','member_expr_nobf',3,'p_member_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',313),
('new_expr -> member_expr','new_expr',1,'p_new_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',325),
('new_expr -> NEW new_expr','new_expr',2,'p_new_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',326),
('new_expr_nobf -> member_expr_nobf','new_expr_nobf',1,'p_new_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',334),
('new_expr_nobf -> NEW new_expr','new_expr_nobf',2,'p_new_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',335),
('call_expr -> member_expr arguments','call_expr',2,'p_call_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',343),
('call_expr -> call_expr arguments','call_expr',2,'p_call_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',344),
('call_expr -> call_expr LBRACKET expr RBRACKET','call_expr',4,'p_call_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',345),
('call_expr -> call_expr PERIOD identifier','call_expr',3,'p_call_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',346),
('call_expr_nobf -> member_expr_nobf arguments','call_expr_nobf',2,'p_call_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',356),
('call_expr_nobf -> call_expr_nobf arguments','call_expr_nobf',2,'p_call_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',357),
('call_expr_nobf -> call_expr_nobf LBRACKET expr RBRACKET','call_expr_nobf',4,'p_call_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',358),
('call_expr_nobf -> call_expr_nobf PERIOD identifier','call_expr_nobf',3,'p_call_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',359),
('arguments -> LPAREN RPAREN','arguments',2,'p_arguments','/home/alienoid/dev/python/slimit/src/slimit/parser.py',369),
('arguments -> LPAREN argument_list RPAREN','arguments',3,'p_arguments','/home/alienoid/dev/python/slimit/src/slimit/parser.py',370),
('argument_list -> assignment_expr','argument_list',1,'p_argument_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',376),
('argument_list -> argument_list COMMA assignment_expr','argument_list',3,'p_argument_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',377),
('left_hand_side_expr -> new_expr','left_hand_side_expr',1,'p_lef_hand_side_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',386),
('left_hand_side_expr -> call_expr','left_hand_side_expr',1,'p_lef_hand_side_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',387),
('left_hand_side_expr_nobf -> new_expr_nobf','left_hand_side_expr_nobf',1,'p_lef_hand_side_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',392),
('left_hand_side_expr_nobf -> call_expr_nobf','left_hand_side_expr_nobf',1,'p_lef_hand_side_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',393),
('postfix_expr -> left_hand_side_expr','postfix_expr',1,'p_postfix_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',399),
('postfix_expr -> left_hand_side_expr PLUSPLUS','postfix_expr',2,'p_postfix_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',400),
('postfix_expr -> left_hand_side_expr MINUSMINUS','postfix_expr',2,'p_postfix_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',401),
('postfix_expr_nobf -> left_hand_side_expr_nobf','postfix_expr_nobf',1,'p_postfix_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',409),
('postfix_expr_nobf -> left_hand_side_expr_nobf PLUSPLUS','postfix_expr_nobf',2,'p_postfix_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',410),
('postfix_expr_nobf -> left_hand_side_expr_nobf MINUSMINUS','postfix_expr_nobf',2,'p_postfix_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',411),
('unary_expr -> postfix_expr','unary_expr',1,'p_unary_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',420),
('unary_expr -> unary_expr_common','unary_expr',1,'p_unary_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',421),
('unary_expr_nobf -> postfix_expr_nobf','unary_expr_nobf',1,'p_unary_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',426),
('unary_expr_nobf -> unary_expr_common','unary_expr_nobf',1,'p_unary_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',427),
('unary_expr_common -> DELETE unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',432),
('unary_expr_common -> VOID unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',433),
('unary_expr_common -> TYPEOF unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',434),
('unary_expr_common -> PLUSPLUS unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',435),
('unary_expr_common -> MINUSMINUS unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',436),
('unary_expr_common -> PLUS unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',437),
('unary_expr_common -> MINUS unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',438),
('unary_expr_common -> BNOT unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',439),
('unary_expr_common -> NOT unary_expr','unary_expr_common',2,'p_unary_expr_common','/home/alienoid/dev/python/slimit/src/slimit/parser.py',440),
('multiplicative_expr -> unary_expr','multiplicative_expr',1,'p_multiplicative_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',446),
('multiplicative_expr -> multiplicative_expr MULT unary_expr','multiplicative_expr',3,'p_multiplicative_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',447),
('multiplicative_expr -> multiplicative_expr DIV unary_expr','multiplicative_expr',3,'p_multiplicative_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',448),
('multiplicative_expr -> multiplicative_expr MOD unary_expr','multiplicative_expr',3,'p_multiplicative_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',449),
('multiplicative_expr_nobf -> unary_expr_nobf','multiplicative_expr_nobf',1,'p_multiplicative_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',457),
('multiplicative_expr_nobf -> multiplicative_expr_nobf MULT unary_expr','multiplicative_expr_nobf',3,'p_multiplicative_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',458),
('multiplicative_expr_nobf -> multiplicative_expr_nobf DIV unary_expr','multiplicative_expr_nobf',3,'p_multiplicative_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',459),
('multiplicative_expr_nobf -> multiplicative_expr_nobf MOD unary_expr','multiplicative_expr_nobf',3,'p_multiplicative_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',460),
('additive_expr -> multiplicative_expr','additive_expr',1,'p_additive_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',469),
('additive_expr -> additive_expr PLUS multiplicative_expr','additive_expr',3,'p_additive_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',470),
('additive_expr -> additive_expr MINUS multiplicative_expr','additive_expr',3,'p_additive_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',471),
('additive_expr_nobf -> multiplicative_expr_nobf','additive_expr_nobf',1,'p_additive_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',479),
('additive_expr_nobf -> additive_expr_nobf PLUS multiplicative_expr','additive_expr_nobf',3,'p_additive_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',480),
('additive_expr_nobf -> additive_expr_nobf MINUS multiplicative_expr','additive_expr_nobf',3,'p_additive_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',481),
('shift_expr -> additive_expr','shift_expr',1,'p_shift_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',490),
('shift_expr -> shift_expr LSHIFT additive_expr','shift_expr',3,'p_shift_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',491),
('shift_expr -> shift_expr RSHIFT additive_expr','shift_expr',3,'p_shift_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',492),
('shift_expr -> shift_expr URSHIFT additive_expr','shift_expr',3,'p_shift_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',493),
('shift_expr_nobf -> additive_expr_nobf','shift_expr_nobf',1,'p_shift_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',501),
('shift_expr_nobf -> shift_expr_nobf LSHIFT additive_expr','shift_expr_nobf',3,'p_shift_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',502),
('shift_expr_nobf -> shift_expr_nobf RSHIFT additive_expr','shift_expr_nobf',3,'p_shift_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',503),
('shift_expr_nobf -> shift_expr_nobf URSHIFT additive_expr','shift_expr_nobf',3,'p_shift_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',504),
('relational_expr -> shift_expr','relational_expr',1,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',514),
('relational_expr -> relational_expr LT shift_expr','relational_expr',3,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',515),
('relational_expr -> relational_expr GT shift_expr','relational_expr',3,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',516),
('relational_expr -> relational_expr LE shift_expr','relational_expr',3,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',517),
('relational_expr -> relational_expr GE shift_expr','relational_expr',3,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',518),
('relational_expr -> relational_expr INSTANCEOF shift_expr','relational_expr',3,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',519),
('relational_expr -> relational_expr IN shift_expr','relational_expr',3,'p_relational_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',520),
('relational_expr_noin -> shift_expr','relational_expr_noin',1,'p_relational_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',528),
('relational_expr_noin -> relational_expr_noin LT shift_expr','relational_expr_noin',3,'p_relational_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',529),
('relational_expr_noin -> relational_expr_noin GT shift_expr','relational_expr_noin',3,'p_relational_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',530),
('relational_expr_noin -> relational_expr_noin LE shift_expr','relational_expr_noin',3,'p_relational_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',531),
('relational_expr_noin -> relational_expr_noin GE shift_expr','relational_expr_noin',3,'p_relational_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',532),
('relational_expr_noin -> relational_expr_noin INSTANCEOF shift_expr','relational_expr_noin',3,'p_relational_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',533),
('relational_expr_nobf -> shift_expr_nobf','relational_expr_nobf',1,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',541),
('relational_expr_nobf -> relational_expr_nobf LT shift_expr','relational_expr_nobf',3,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',542),
('relational_expr_nobf -> relational_expr_nobf GT shift_expr','relational_expr_nobf',3,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',543),
('relational_expr_nobf -> relational_expr_nobf LE shift_expr','relational_expr_nobf',3,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',544),
('relational_expr_nobf -> relational_expr_nobf GE shift_expr','relational_expr_nobf',3,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',545),
('relational_expr_nobf -> relational_expr_nobf INSTANCEOF shift_expr','relational_expr_nobf',3,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',546),
('relational_expr_nobf -> relational_expr_nobf IN shift_expr','relational_expr_nobf',3,'p_relational_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',547),
('equality_expr -> relational_expr','equality_expr',1,'p_equality_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',556),
('equality_expr -> equality_expr EQEQ relational_expr','equality_expr',3,'p_equality_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',557),
('equality_expr -> equality_expr NE relational_expr','equality_expr',3,'p_equality_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',558),
('equality_expr -> equality_expr STREQ relational_expr','equality_expr',3,'p_equality_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',559),
('equality_expr -> equality_expr STRNEQ relational_expr','equality_expr',3,'p_equality_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',560),
('equality_expr_noin -> relational_expr_noin','equality_expr_noin',1,'p_equality_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',568),
('equality_expr_noin -> equality_expr_noin EQEQ relational_expr','equality_expr_noin',3,'p_equality_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',569),
('equality_expr_noin -> equality_expr_noin NE relational_expr','equality_expr_noin',3,'p_equality_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',570),
('equality_expr_noin -> equality_expr_noin STREQ relational_expr','equality_expr_noin',3,'p_equality_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',571),
('equality_expr_noin -> equality_expr_noin STRNEQ relational_expr','equality_expr_noin',3,'p_equality_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',572),
('equality_expr_nobf -> relational_expr_nobf','equality_expr_nobf',1,'p_equality_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',580),
('equality_expr_nobf -> equality_expr_nobf EQEQ relational_expr','equality_expr_nobf',3,'p_equality_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',581),
('equality_expr_nobf -> equality_expr_nobf NE relational_expr','equality_expr_nobf',3,'p_equality_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',582),
('equality_expr_nobf -> equality_expr_nobf STREQ relational_expr','equality_expr_nobf',3,'p_equality_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',583),
('equality_expr_nobf -> equality_expr_nobf STRNEQ relational_expr','equality_expr_nobf',3,'p_equality_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',584),
('bitwise_and_expr -> equality_expr','bitwise_and_expr',1,'p_bitwise_and_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',593),
('bitwise_and_expr -> bitwise_and_expr BAND equality_expr','bitwise_and_expr',3,'p_bitwise_and_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',594),
('bitwise_and_expr_noin -> equality_expr_noin','bitwise_and_expr_noin',1,'p_bitwise_and_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',602),
('bitwise_and_expr_noin -> bitwise_and_expr_noin BAND equality_expr_noin','bitwise_and_expr_noin',3,'p_bitwise_and_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',603),
('bitwise_and_expr_nobf -> equality_expr_nobf','bitwise_and_expr_nobf',1,'p_bitwise_and_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',612),
('bitwise_and_expr_nobf -> bitwise_and_expr_nobf BAND equality_expr_nobf','bitwise_and_expr_nobf',3,'p_bitwise_and_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',613),
('bitwise_xor_expr -> bitwise_and_expr','bitwise_xor_expr',1,'p_bitwise_xor_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',622),
('bitwise_xor_expr -> bitwise_xor_expr BXOR bitwise_and_expr','bitwise_xor_expr',3,'p_bitwise_xor_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',623),
('bitwise_xor_expr_noin -> bitwise_and_expr_noin','bitwise_xor_expr_noin',1,'p_bitwise_xor_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',632),
('bitwise_xor_expr_noin -> bitwise_xor_expr_noin BXOR bitwise_and_expr_noin','bitwise_xor_expr_noin',3,'p_bitwise_xor_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',633),
('bitwise_xor_expr_nobf -> bitwise_and_expr_nobf','bitwise_xor_expr_nobf',1,'p_bitwise_xor_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',643),
('bitwise_xor_expr_nobf -> bitwise_xor_expr_nobf BXOR bitwise_and_expr_nobf','bitwise_xor_expr_nobf',3,'p_bitwise_xor_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',644),
('bitwise_or_expr -> bitwise_xor_expr','bitwise_or_expr',1,'p_bitwise_or_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',653),
('bitwise_or_expr -> bitwise_or_expr BOR bitwise_xor_expr','bitwise_or_expr',3,'p_bitwise_or_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',654),
('bitwise_or_expr_noin -> bitwise_xor_expr_noin','bitwise_or_expr_noin',1,'p_bitwise_or_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',663),
('bitwise_or_expr_noin -> bitwise_or_expr_noin BOR bitwise_xor_expr_noin','bitwise_or_expr_noin',3,'p_bitwise_or_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',664),
('bitwise_or_expr_nobf -> bitwise_xor_expr_nobf','bitwise_or_expr_nobf',1,'p_bitwise_or_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',674),
('bitwise_or_expr_nobf -> bitwise_or_expr_nobf BOR bitwise_xor_expr_nobf','bitwise_or_expr_nobf',3,'p_bitwise_or_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',675),
('logical_and_expr -> bitwise_or_expr','logical_and_expr',1,'p_logical_and_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',685),
('logical_and_expr -> logical_and_expr AND bitwise_or_expr','logical_and_expr',3,'p_logical_and_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',686),
('logical_and_expr_noin -> bitwise_or_expr_noin','logical_and_expr_noin',1,'p_logical_and_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',695),
('logical_and_expr_noin -> logical_and_expr_noin AND bitwise_or_expr_noin','logical_and_expr_noin',3,'p_logical_and_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',696),
('logical_and_expr_nobf -> bitwise_or_expr_nobf','logical_and_expr_nobf',1,'p_logical_and_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',705),
('logical_and_expr_nobf -> logical_and_expr_nobf AND bitwise_or_expr_nobf','logical_and_expr_nobf',3,'p_logical_and_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',706),
('logical_or_expr -> logical_and_expr','logical_or_expr',1,'p_logical_or_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',714),
('logical_or_expr -> logical_or_expr OR logical_and_expr','logical_or_expr',3,'p_logical_or_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',715),
('logical_or_expr_noin -> logical_and_expr_noin','logical_or_expr_noin',1,'p_logical_or_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',723),
('logical_or_expr_noin -> logical_or_expr_noin OR logical_and_expr_noin','logical_or_expr_noin',3,'p_logical_or_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',724),
('logical_or_expr_nobf -> logical_and_expr_nobf','logical_or_expr_nobf',1,'p_logical_or_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',732),
('logical_or_expr_nobf -> logical_or_expr_nobf OR logical_and_expr_nobf','logical_or_expr_nobf',3,'p_logical_or_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',733),
('conditional_expr -> logical_or_expr','conditional_expr',1,'p_conditional_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',743),
('conditional_expr -> logical_or_expr CONDOP assignment_expr COLON assignment_expr','conditional_expr',5,'p_conditional_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',744),
('conditional_expr_noin -> logical_or_expr_noin','conditional_expr_noin',1,'p_conditional_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',755),
('conditional_expr_noin -> logical_or_expr_noin CONDOP assignment_expr_noin COLON assignment_expr_noin','conditional_expr_noin',5,'p_conditional_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',756),
('conditional_expr_nobf -> logical_or_expr_nobf','conditional_expr_nobf',1,'p_conditional_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',768),
('conditional_expr_nobf -> logical_or_expr_nobf CONDOP assignment_expr COLON assignment_expr','conditional_expr_nobf',5,'p_conditional_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',769),
('assignment_expr -> conditional_expr','assignment_expr',1,'p_assignment_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',781),
('assignment_expr -> left_hand_side_expr assignment_operator assignment_expr','assignment_expr',3,'p_assignment_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',782),
('assignment_expr_noin -> conditional_expr_noin','assignment_expr_noin',1,'p_assignment_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',792),
('assignment_expr_noin -> left_hand_side_expr assignment_operator assignment_expr_noin','assignment_expr_noin',3,'p_assignment_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',793),
('assignment_expr_nobf -> conditional_expr_nobf','assignment_expr_nobf',1,'p_assignment_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',803),
('assignment_expr_nobf -> left_hand_side_expr_nobf assignment_operator assignment_expr','assignment_expr_nobf',3,'p_assignment_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',804),
('assignment_operator -> EQ','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',813),
('assignment_operator -> MULTEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',814),
('assignment_operator -> DIVEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',815),
('assignment_operator -> MODEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',816),
('assignment_operator -> PLUSEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',817),
('assignment_operator -> MINUSEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',818),
('assignment_operator -> LSHIFTEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',819),
('assignment_operator -> RSHIFTEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',820),
('assignment_operator -> URSHIFTEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',821),
('assignment_operator -> ANDEQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',822),
('assignment_operator -> XOREQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',823),
('assignment_operator -> OREQUAL','assignment_operator',1,'p_assignment_operator','/home/alienoid/dev/python/slimit/src/slimit/parser.py',824),
('expr -> assignment_expr','expr',1,'p_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',830),
('expr -> expr COMMA assignment_expr','expr',3,'p_expr','/home/alienoid/dev/python/slimit/src/slimit/parser.py',831),
('expr_noin -> assignment_expr_noin','expr_noin',1,'p_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',839),
('expr_noin -> expr_noin COMMA assignment_expr_noin','expr_noin',3,'p_expr_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',840),
('expr_nobf -> assignment_expr_nobf','expr_nobf',1,'p_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',848),
('expr_nobf -> expr_nobf COMMA assignment_expr','expr_nobf',3,'p_expr_nobf','/home/alienoid/dev/python/slimit/src/slimit/parser.py',849),
('variable_statement -> VAR variable_declaration_list SEMI','variable_statement',3,'p_variable_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',858),
('variable_statement -> VAR variable_declaration_list auto_semi','variable_statement',3,'p_variable_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',859),
('variable_declaration_list -> variable_declaration','variable_declaration_list',1,'p_variable_declaration_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',865),
('variable_declaration_list -> variable_declaration_list COMMA variable_declaration','variable_declaration_list',3,'p_variable_declaration_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',866),
('variable_declaration_list_noin -> variable_declaration_noin','variable_declaration_list_noin',1,'p_variable_declaration_list_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',877),
('variable_declaration_list_noin -> variable_declaration_list_noin COMMA variable_declaration_noin','variable_declaration_list_noin',3,'p_variable_declaration_list_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',878),
('variable_declaration -> identifier','variable_declaration',1,'p_variable_declaration','/home/alienoid/dev/python/slimit/src/slimit/parser.py',888),
('variable_declaration -> identifier initializer','variable_declaration',2,'p_variable_declaration','/home/alienoid/dev/python/slimit/src/slimit/parser.py',889),
('variable_declaration_noin -> identifier','variable_declaration_noin',1,'p_variable_declaration_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',897),
('variable_declaration_noin -> identifier initializer_noin','variable_declaration_noin',2,'p_variable_declaration_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',898),
('initializer -> EQ assignment_expr','initializer',2,'p_initializer','/home/alienoid/dev/python/slimit/src/slimit/parser.py',906),
('initializer_noin -> EQ assignment_expr_noin','initializer_noin',2,'p_initializer_noin','/home/alienoid/dev/python/slimit/src/slimit/parser.py',910),
('empty_statement -> SEMI','empty_statement',1,'p_empty_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',915),
('expr_statement -> expr_nobf SEMI','expr_statement',2,'p_expr_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',920),
('expr_statement -> expr_nobf auto_semi','expr_statement',2,'p_expr_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',921),
('if_statement -> IF LPAREN expr RPAREN statement','if_statement',5,'p_if_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',927),
('if_statement -> IF LPAREN expr RPAREN statement ELSE statement','if_statement',7,'p_if_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',931),
('iteration_statement -> DO statement WHILE LPAREN expr RPAREN SEMI','iteration_statement',7,'p_iteration_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',937),
('iteration_statement -> DO statement WHILE LPAREN expr RPAREN auto_semi','iteration_statement',7,'p_iteration_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',938),
('iteration_statement -> WHILE LPAREN expr RPAREN statement','iteration_statement',5,'p_iteration_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',944),
('iteration_statement -> FOR LPAREN expr_noin_opt SEMI expr_opt SEMI expr_opt RPAREN statement','iteration_statement',9,'p_iteration_statement_3','/home/alienoid/dev/python/slimit/src/slimit/parser.py',949),
('iteration_statement -> FOR LPAREN VAR variable_declaration_list_noin SEMI expr_opt SEMI expr_opt RPAREN statement','iteration_statement',10,'p_iteration_statement_3','/home/alienoid/dev/python/slimit/src/slimit/parser.py',950),
('iteration_statement -> FOR LPAREN left_hand_side_expr IN expr RPAREN statement','iteration_statement',7,'p_iteration_statement_4','/home/alienoid/dev/python/slimit/src/slimit/parser.py',963),
('iteration_statement -> FOR LPAREN VAR identifier IN expr RPAREN statement','iteration_statement',8,'p_iteration_statement_5','/home/alienoid/dev/python/slimit/src/slimit/parser.py',970),
('iteration_statement -> FOR LPAREN VAR identifier initializer_noin IN expr RPAREN statement','iteration_statement',9,'p_iteration_statement_6','/home/alienoid/dev/python/slimit/src/slimit/parser.py',977),
('expr_opt -> empty','expr_opt',1,'p_expr_opt','/home/alienoid/dev/python/slimit/src/slimit/parser.py',984),
('expr_opt -> expr','expr_opt',1,'p_expr_opt','/home/alienoid/dev/python/slimit/src/slimit/parser.py',985),
('expr_noin_opt -> empty','expr_noin_opt',1,'p_expr_noin_opt','/home/alienoid/dev/python/slimit/src/slimit/parser.py',990),
('expr_noin_opt -> expr_noin','expr_noin_opt',1,'p_expr_noin_opt','/home/alienoid/dev/python/slimit/src/slimit/parser.py',991),
('continue_statement -> CONTINUE SEMI','continue_statement',2,'p_continue_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',997),
('continue_statement -> CONTINUE auto_semi','continue_statement',2,'p_continue_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',998),
('continue_statement -> CONTINUE identifier SEMI','continue_statement',3,'p_continue_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1003),
('continue_statement -> CONTINUE identifier auto_semi','continue_statement',3,'p_continue_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1004),
('break_statement -> BREAK SEMI','break_statement',2,'p_break_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1010),
('break_statement -> BREAK auto_semi','break_statement',2,'p_break_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1011),
('break_statement -> BREAK identifier SEMI','break_statement',3,'p_break_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1016),
('break_statement -> BREAK identifier auto_semi','break_statement',3,'p_break_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1017),
('return_statement -> RETURN SEMI','return_statement',2,'p_return_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1024),
('return_statement -> RETURN auto_semi','return_statement',2,'p_return_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1025),
('return_statement -> RETURN expr SEMI','return_statement',3,'p_return_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1030),
('return_statement -> RETURN expr auto_semi','return_statement',3,'p_return_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1031),
('with_statement -> WITH LPAREN expr RPAREN statement','with_statement',5,'p_with_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1037),
('switch_statement -> SWITCH LPAREN expr RPAREN case_block','switch_statement',5,'p_switch_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1042),
('case_block -> LBRACE case_clauses_opt RBRACE','case_block',3,'p_case_block','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1056),
('case_block -> LBRACE case_clauses_opt default_clause case_clauses_opt RBRACE','case_block',5,'p_case_block','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1057),
('case_clauses_opt -> empty','case_clauses_opt',1,'p_case_clauses_opt','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1063),
('case_clauses_opt -> case_clauses','case_clauses_opt',1,'p_case_clauses_opt','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1064),
('case_clauses -> case_clause','case_clauses',1,'p_case_clauses','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1069),
('case_clauses -> case_clauses case_clause','case_clauses',2,'p_case_clauses','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1070),
('case_clause -> CASE expr COLON source_elements','case_clause',4,'p_case_clause','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1079),
('default_clause -> DEFAULT COLON source_elements','default_clause',3,'p_default_clause','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1083),
('labelled_statement -> identifier COLON statement','labelled_statement',3,'p_labelled_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1088),
('throw_statement -> THROW expr SEMI','throw_statement',3,'p_throw_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1093),
('throw_statement -> THROW expr auto_semi','throw_statement',3,'p_throw_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1094),
('try_statement -> TRY block catch','try_statement',3,'p_try_statement_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1100),
('try_statement -> TRY block finally','try_statement',3,'p_try_statement_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1104),
('try_statement -> TRY block catch finally','try_statement',4,'p_try_statement_3','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1108),
('catch -> CATCH LPAREN identifier RPAREN block','catch',5,'p_catch','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1112),
('finally -> FINALLY block','finally',2,'p_finally','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1116),
('debugger_statement -> DEBUGGER SEMI','debugger_statement',2,'p_debugger_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1121),
('debugger_statement -> DEBUGGER auto_semi','debugger_statement',2,'p_debugger_statement','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1122),
('function_declaration -> FUNCTION identifier LPAREN RPAREN LBRACE function_body RBRACE','function_declaration',7,'p_function_declaration','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1129),
('function_declaration -> FUNCTION identifier LPAREN formal_parameter_list RPAREN LBRACE function_body RBRACE','function_declaration',8,'p_function_declaration','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1130),
('function_expr -> FUNCTION LPAREN RPAREN LBRACE function_body RBRACE','function_expr',6,'p_function_expr_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1143),
('function_expr -> FUNCTION LPAREN formal_parameter_list RPAREN LBRACE function_body RBRACE','function_expr',7,'p_function_expr_1','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1144),
('function_expr -> FUNCTION identifier LPAREN RPAREN LBRACE function_body RBRACE','function_expr',7,'p_function_expr_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1157),
('function_expr -> FUNCTION identifier LPAREN formal_parameter_list RPAREN LBRACE function_body RBRACE','function_expr',8,'p_function_expr_2','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1158),
('formal_parameter_list -> identifier','formal_parameter_list',1,'p_formal_parameter_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1171),
('formal_parameter_list -> formal_parameter_list COMMA identifier','formal_parameter_list',3,'p_formal_parameter_list','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1172),
('function_body -> source_elements','function_body',1,'p_function_body','/home/alienoid/dev/python/slimit/src/slimit/parser.py',1181),
]
| [
"[email protected]"
] | |
579eac1755cc6dfc8c601ef7df132c1a4a830673 | 674f5dde693f1a60e4480e5b66fba8f24a9cb95d | /armulator/armv6/opcodes/abstract_opcodes/smlsld.py | 55da34bdc70ecb6cd43315893e0a2e0c83e6c62f | [
"MIT"
] | permissive | matan1008/armulator | 75211c18ebc9cd9d33a02890e76fc649483c3aad | 44f4275ab1cafff3cf7a1b760bff7f139dfffb07 | refs/heads/master | 2023-08-17T14:40:52.793120 | 2023-08-08T04:57:02 | 2023-08-08T04:57:02 | 91,716,042 | 29 | 7 | MIT | 2023-08-08T04:55:59 | 2017-05-18T16:37:55 | Python | UTF-8 | Python | false | false | 1,242 | py | from armulator.armv6.bits_ops import to_signed, set_substring, to_unsigned, substring
from armulator.armv6.opcodes.opcode import Opcode
from armulator.armv6.shift import ror
class Smlsld(Opcode):
def __init__(self, instruction, m_swap, m, d_hi, d_lo, n):
super().__init__(instruction)
self.m_swap = m_swap
self.m = m
self.d_hi = d_hi
self.d_lo = d_lo
self.n = n
def execute(self, processor):
if processor.condition_passed():
operand2 = ror(processor.registers.get(self.m), 32, 16) if self.m_swap else processor.registers.get(self.m)
n = processor.registers.get(self.n)
product1 = to_signed(substring(n, 15, 0), 16) * to_signed(substring(operand2, 15, 0), 16)
product2 = to_signed(substring(n, 31, 16), 16) * to_signed(substring(operand2, 31, 16), 16)
d_total = to_signed(
set_substring(processor.registers.get(self.d_lo), 63, 32, processor.registers.get(self.d_hi)), 64
)
result = to_unsigned(product1 - product2 + d_total, 64)
processor.registers.set(self.d_hi, substring(result, 63, 32))
processor.registers.set(self.d_lo, substring(result, 31, 0))
| [
"[email protected]"
] | |
c3f603d4891e64afab9802c2e85b912f517572e7 | f698ab1da4eff7b353ddddf1e560776ca03a0efb | /examples/ogbg_molpcba/models.py | f1cfc01d8d5185b83ecd0d6620dd538ae9890250 | [
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | patrickvonplaten/flax | 7489a002190c5cd5611c6ee1097d7407a932314c | 48b34ab87c7d20afc567f6e0fe5d67e423cf08bc | refs/heads/main | 2023-08-23T13:55:08.002500 | 2021-10-08T09:23:15 | 2021-10-08T09:23:54 | 319,617,897 | 0 | 0 | Apache-2.0 | 2020-12-08T11:28:16 | 2020-12-08T11:28:15 | null | UTF-8 | Python | false | false | 6,732 | py | # Copyright 2021 The Flax Authors.
#
# 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.
"""Definition of the GNN model."""
from typing import Callable, Sequence
from flax import linen as nn
import jax.numpy as jnp
import jraph
def add_graphs_tuples(graphs: jraph.GraphsTuple,
other_graphs: jraph.GraphsTuple) -> jraph.GraphsTuple:
"""Adds the nodes, edges and global features from other_graphs to graphs."""
return graphs._replace(
nodes=graphs.nodes + other_graphs.nodes,
edges=graphs.edges + other_graphs.edges,
globals=graphs.globals + other_graphs.globals)
class MLP(nn.Module):
"""A multi-layer perceptron."""
feature_sizes: Sequence[int]
dropout_rate: float = 0
deterministic: bool = True
activation: Callable[[jnp.ndarray], jnp.ndarray] = nn.relu
@nn.compact
def __call__(self, inputs):
x = inputs
for size in self.feature_sizes:
x = nn.Dense(features=size)(x)
x = self.activation(x)
x = nn.Dropout(
rate=self.dropout_rate, deterministic=self.deterministic)(x)
return x
class GraphNet(nn.Module):
"""A complete Graph Network model defined with Jraph."""
latent_size: int
num_mlp_layers: int
message_passing_steps: int
output_globals_size: int
dropout_rate: float = 0
skip_connections: bool = True
use_edge_model: bool = True
layer_norm: bool = True
deterministic: bool = True
@nn.compact
def __call__(self, graphs: jraph.GraphsTuple) -> jraph.GraphsTuple:
# We will first linearly project the original features as 'embeddings'.
embedder = jraph.GraphMapFeatures(
embed_node_fn=nn.Dense(self.latent_size),
embed_edge_fn=nn.Dense(self.latent_size),
embed_global_fn=nn.Dense(self.latent_size))
processed_graphs = embedder(graphs)
# Now, we will apply a Graph Network once for each message-passing round.
mlp_feature_sizes = [self.latent_size] * self.num_mlp_layers
for _ in range(self.message_passing_steps):
if self.use_edge_model:
update_edge_fn = jraph.concatenated_args(
MLP(mlp_feature_sizes,
dropout_rate=self.dropout_rate,
deterministic=self.deterministic))
else:
update_edge_fn = None
update_node_fn = jraph.concatenated_args(
MLP(mlp_feature_sizes,
dropout_rate=self.dropout_rate,
deterministic=self.deterministic))
update_global_fn = jraph.concatenated_args(
MLP(mlp_feature_sizes,
dropout_rate=self.dropout_rate,
deterministic=self.deterministic))
graph_net = jraph.GraphNetwork(
update_node_fn=update_node_fn,
update_edge_fn=update_edge_fn,
update_global_fn=update_global_fn)
if self.skip_connections:
processed_graphs = add_graphs_tuples(
graph_net(processed_graphs), processed_graphs)
else:
processed_graphs = graph_net(processed_graphs)
if self.layer_norm:
processed_graphs = processed_graphs._replace(
nodes=nn.LayerNorm()(processed_graphs.nodes),
edges=nn.LayerNorm()(processed_graphs.edges),
globals=nn.LayerNorm()(processed_graphs.globals),
)
# Since our graph-level predictions will be at globals, we will
# decode to get the required output logits.
decoder = jraph.GraphMapFeatures(
embed_global_fn=nn.Dense(self.output_globals_size))
processed_graphs = decoder(processed_graphs)
return processed_graphs
class GraphConvNet(nn.Module):
"""A Graph Convolution Network + Pooling model defined with Jraph."""
latent_size: int
num_mlp_layers: int
message_passing_steps: int
output_globals_size: int
dropout_rate: float = 0
skip_connections: bool = True
layer_norm: bool = True
deterministic: bool = True
pooling_fn: Callable[[jnp.ndarray, jnp.ndarray, jnp.ndarray],
jnp.ndarray] = jraph.segment_mean
def pool(self, graphs: jraph.GraphsTuple) -> jraph.GraphsTuple:
"""Pooling operation, taken from Jraph."""
# Equivalent to jnp.sum(n_node), but JIT-able.
sum_n_node = graphs.nodes.shape[0]
# To aggregate nodes from each graph to global features,
# we first construct tensors that map the node to the corresponding graph.
# Example: if you have `n_node=[1,2]`, we construct the tensor [0, 1, 1].
n_graph = graphs.n_node.shape[0]
node_graph_indices = jnp.repeat(
jnp.arange(n_graph),
graphs.n_node,
axis=0,
total_repeat_length=sum_n_node)
# We use the aggregation function to pool the nodes per graph.
pooled = self.pooling_fn(graphs.nodes, node_graph_indices, n_graph)
return graphs._replace(globals=pooled)
@nn.compact
def __call__(self, graphs: jraph.GraphsTuple) -> jraph.GraphsTuple:
# We will first linearly project the original node features as 'embeddings'.
embedder = jraph.GraphMapFeatures(
embed_node_fn=nn.Dense(self.latent_size))
processed_graphs = embedder(graphs)
# Now, we will apply the GCN once for each message-passing round.
for _ in range(self.message_passing_steps):
mlp_feature_sizes = [self.latent_size] * self.num_mlp_layers
update_node_fn = jraph.concatenated_args(
MLP(mlp_feature_sizes,
dropout_rate=self.dropout_rate,
deterministic=self.deterministic))
graph_conv = jraph.GraphConvolution(
update_node_fn=update_node_fn, add_self_edges=True)
if self.skip_connections:
processed_graphs = add_graphs_tuples(
graph_conv(processed_graphs), processed_graphs)
else:
processed_graphs = graph_conv(processed_graphs)
if self.layer_norm:
processed_graphs = processed_graphs._replace(
nodes=nn.LayerNorm()(processed_graphs.nodes),
)
# We apply the pooling operation to get a 'global' embedding.
processed_graphs = self.pool(processed_graphs)
# Now, we decode this to get the required output logits.
decoder = jraph.GraphMapFeatures(
embed_global_fn=nn.Dense(self.output_globals_size))
processed_graphs = decoder(processed_graphs)
return processed_graphs
| [
"[email protected]"
] | |
e1df6fc2583f420d43b25ca435c7e20316b96453 | b5c5c27d71348937322b77b24fe9e581cdd3a6c4 | /graphql/pyutils/cached_property.py | 0727c1949d5a114eb73a371fd40463fb8998efc0 | [
"MIT"
] | permissive | dfee/graphql-core-next | 92bc6b4e5a39bd43def8397bbb2d5b924d5436d9 | 1ada7146bd0510171ae931b68f6c77dbdf5d5c63 | refs/heads/master | 2020-03-27T10:30:43.486607 | 2018-08-30T20:26:42 | 2018-08-30T20:26:42 | 146,425,198 | 0 | 0 | MIT | 2018-08-28T09:40:09 | 2018-08-28T09:40:09 | null | UTF-8 | Python | false | false | 607 | py | # Code taken from https://github.com/bottlepy/bottle
__all__ = ['cached_property']
class CachedProperty:
"""A cached property.
A property that is only computed once per instance and then replaces itself
with an ordinary attribute. Deleting the attribute resets the property.
"""
def __init__(self, func):
self.__doc__ = getattr(func, '__doc__')
self.func = func
def __get__(self, obj, cls):
if obj is None:
return self
value = obj.__dict__[self.func.__name__] = self.func(obj)
return value
cached_property = CachedProperty
| [
"[email protected]"
] | |
dfbb2a64692b993bd4d3388133dc94ce6316ab09 | 141d1fb160fcfb4294d4b0572216033218da702d | /exec -l /bin/zsh/google-cloud-sdk/lib/surface/dataflow/sql/query.py | 8660148df0f94ddf4b5afd8079353232390d6b5c | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | sudocams/tech-club | 1f2d74c4aedde18853c2b4b729ff3ca5908e76a5 | c8540954b11a6fd838427e959e38965a084b2a4c | refs/heads/master | 2021-07-15T03:04:40.397799 | 2020-12-01T20:05:55 | 2020-12-01T20:05:55 | 245,985,795 | 0 | 1 | null | 2021-04-30T21:04:39 | 2020-03-09T08:51:41 | Python | UTF-8 | Python | false | false | 4,392 | py | # -*- coding: utf-8 -*- #
# Copyright 2020 Google LLC. All Rights Reserved.
#
# 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.
"""Implementation of `gcloud dataflow sql query` command."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from googlecloudsdk.api_lib.dataflow import apis
from googlecloudsdk.api_lib.dataflow import sql_query_parameters
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.dataflow import dataflow_util
from googlecloudsdk.command_lib.dataflow import sql_util
from googlecloudsdk.core import properties
DETAILED_HELP = {
'DESCRIPTION':
'Execute the user-specified SQL query on Dataflow. Queries must '
'comply to the ZetaSQL dialect (https://github.com/google/zetasql). '
'Results may be written to either BigQuery or Cloud Pub/Sub.',
'EXAMPLES':
"""\
To execute a simple SQL query on Dataflow that reads from and writes to BigQuery, run:
$ {command} "SELECT word FROM bigquery.table.`my-project`.input_dataset.input_table where count > 3" --job-name=my-job --region=us-west1 --bigquery-dataset=my_output_dataset --bigquery-table=my_output_table
To execute a simple SQL query on Dataflow that reads from and writes to Cloud
Pub/Sub, run:
$ {command} "SELECT word FROM pubsub.topic.`my-project`.input_topic where count > 3" --job-name=my-job --region=us-west1 --pubsub-topic=my_output_topic
To join data from BigQuery and Cloud Pub/Sub and write the result to Cloud
Pub/Sub, run:
$ {command} "SELECT bq.name AS name FROM pubsub.topic.`my-project`.input_topic p INNER JOIN bigquery.table.`my-project`.input_dataset.input_table bq ON p.id = bq.id" --job-name=my-job --region=us-west1 --pubsub-topic=my_output_topic
To execute a parameterized SQL query that reads from and writes to BigQuery, run:
$ {command} "SELECT word FROM bigquery.table.`my-project`.input_dataset.input_table where count > @threshold" --parameter=threshold:INT64:5 --job-name=my-job --region=us-west1 --bigquery-dataset=my_output_dataset --bigquery-table=my_output_table
""",
}
@base.ReleaseTracks(base.ReleaseTrack.ALPHA, base.ReleaseTrack.BETA)
class Query(base.Command):
"""Execute the user-specified SQL query on Dataflow."""
detailed_help = DETAILED_HELP
@staticmethod
def Args(parser):
"""Register flags for this command.
Args:
parser: argparse.ArgumentParser to register arguments with.
"""
sql_util.ArgsForSqlQuery(parser)
def Run(self, args):
region = dataflow_util.GetRegion(args)
if args.sql_launcher_template:
gcs_location = args.sql_launcher_template
else:
gcs_location = 'gs://dataflow-sql-templates-{}/latest/sql_launcher_template'.format(
region)
if args.parameters_file:
query_parameters = sql_query_parameters.ParseParametersFile(
args.parameters_file)
elif args.parameter:
query_parameters = sql_query_parameters.ParseParametersList(
args.parameter)
else:
query_parameters = '[]'
template_parameters = {
'dryRun': 'true' if args.dry_run else 'false',
'outputs': sql_util.ExtractOutputs(args),
'queryParameters': query_parameters,
'queryString': args.query,
}
arguments = apis.TemplateArguments(
project_id=properties.VALUES.core.project.GetOrFail(),
region_id=region,
job_name=args.job_name,
gcs_location=gcs_location,
zone=args.worker_zone,
max_workers=args.max_workers,
disable_public_ips=properties.VALUES.dataflow.disable_public_ips
.GetBool(),
parameters=template_parameters,
service_account_email=args.service_account_email)
return apis.Templates.LaunchDynamicTemplate(arguments)
| [
"[email protected]"
] | |
73bdff696c0f6700a310bb5a449d673efa9b5b3a | 866dee1b3d01b863c31332ec81330d1b5ef5c6fa | /openquake.hazardlib/openquake/hazardlib/gsim/rietbrock_2013.py | 62e63bdafc600b463ed33925696bfa2c08e799d1 | [
"MIT",
"AGPL-3.0-only"
] | permissive | rainzhop/ConvNetQuake | 3e2e1a040952bd5d6346905b83f39889c6a2e51a | a3e6de3f7992eac72f1b9883fec36b8c7fdefd48 | refs/heads/master | 2020-08-07T16:41:03.778293 | 2019-11-01T01:49:00 | 2019-11-01T01:49:00 | 213,527,701 | 0 | 0 | MIT | 2019-10-08T02:08:00 | 2019-10-08T02:08:00 | null | UTF-8 | Python | false | false | 12,553 | py | # -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2014-2016 GEM Foundation
#
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# OpenQuake 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 Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.
"""
Module exports :class:`RietbrockEtAl2013SelfSimilar`,
:class:`RietbrockEtAl2013MagDependent`
"""
from __future__ import division
import numpy as np
# standard acceleration of gravity in m/s**2
from scipy.constants import g
from openquake.hazardlib.gsim.base import CoeffsTable, GMPE
from openquake.hazardlib import const
from openquake.hazardlib.imt import PGA, PGV, SA
class RietbrockEtAl2013SelfSimilar(GMPE):
"""
Implements the ground motion prediction equation of Rietbrock et al
(2013):
Rietbrock, A., Strasser, F., Edwards, B. (2013) A Stochastic Earthquake
Ground-Motion Prediction Model for the United Kingdom. Bulletin of the
Seismological Society of America, 103(1), 57 -77
The GMPE is derived for the United Kingdom, a low seismicity region.
Consequently ground motions are generated via numerical simulations using
a stochastic point-source model, calibrated with parameters derived from
local weak-motion data. This implementation applies to the case
when stress drop is considered to be self-similar (i.e. independent
of magnitude).
"""
#: Supported tectonic region type is stabe continental crust,
DEFINED_FOR_TECTONIC_REGION_TYPE = const.TRT.STABLE_CONTINENTAL
#: Supported intensity measure types are spectral acceleration, peak
#: ground acceleration and peak ground velocity.
DEFINED_FOR_INTENSITY_MEASURE_TYPES = set([
PGA,
PGV,
SA
])
#: Supported intensity measure component is the geometric mean of two
#: horizontal components
DEFINED_FOR_INTENSITY_MEASURE_COMPONENT = const.IMC.AVERAGE_HORIZONTAL
#: Supported standard deviation types are inter-event, intra-event and
#: total
DEFINED_FOR_STANDARD_DEVIATION_TYPES = set([
const.StdDev.INTER_EVENT,
const.StdDev.INTRA_EVENT,
const.StdDev.TOTAL
])
#: No site parameter is required
REQUIRES_SITES_PARAMETERS = set()
#: Required rupture parameters are magnitude
REQUIRES_RUPTURE_PARAMETERS = set(('mag',))
#: Required distance measure is Rjb
REQUIRES_DISTANCES = set(('rjb', ))
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types):
"""
See :meth:`superclass method
<.base.GroundShakingIntensityModel.get_mean_and_stddevs>`
for spec of input and result values.
"""
# extract dictionaries of coefficients specific to required
# intensity measure type
C = self.COEFFS[imt]
imean = (self._get_magnitude_scaling_term(C, rup.mag) +
self._get_distance_scaling_term(C, dists.rjb, rup.mag))
# convert from cm/s**2 to g for SA and from cm/s**2 to g for PGA (PGV
# is already in cm/s) and also convert from base 10 to base e.
if isinstance(imt, (PGA, SA)):
mean = np.log((10.0 ** (imean - 2.0)) / g)
else:
mean = np.log(10 ** imean)
stddevs = self._get_stddevs(C, stddev_types, dists.rjb.shape[0])
return mean, stddevs
def _get_magnitude_scaling_term(self, C, mag):
"""
Returns the magnitude scaling component of the model
Equation 10, Page 63
"""
return C["c1"] + (C["c2"] * mag) + (C["c3"] * (mag ** 2.0))
def _get_distance_scaling_term(self, C, rjb, mag):
"""
Returns the distance scaling component of the model
Equation 10, Page 63
"""
# Depth adjusted distance, equation 11 (Page 63)
rval = np.sqrt(rjb ** 2.0 + C["c11"] ** 2.0)
f_0, f_1, f_2 = self._get_distance_segment_coefficients(rval)
return ((C["c4"] + C["c5"] * mag) * f_0 +
(C["c6"] + C["c7"] * mag) * f_1 +
(C["c8"] + C["c9"] * mag) * f_2 +
(C["c10"] * rval))
def _get_distance_segment_coefficients(self, rval):
"""
Returns the coefficients describing the distance attenuation shape
for three different distance bins, equations 12a - 12c
"""
# Get distance segment ends
nsites = len(rval)
# Equation 12a
f_0 = np.log10(self.CONSTS["r0"] / rval)
f_0[rval > self.CONSTS["r0"]] = 0.0
# Equation 12b
f_1 = np.log10(rval)
f_1[rval > self.CONSTS["r1"]] = np.log10(self.CONSTS["r1"])
# Equation 12c
f_2 = np.log10(rval / self.CONSTS["r2"])
f_2[rval <= self.CONSTS["r2"]] = 0.0
return f_0, f_1, f_2
def _get_stddevs(self, C, stddev_types, num_sites):
"""
Returns the standard deviation. Original standard deviations are in
logarithms of base 10. Converts to natural logarithm.
"""
stddevs = []
for stddev_type in stddev_types:
assert stddev_type in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES
if stddev_type == const.StdDev.TOTAL:
sigma = np.sqrt(C["tau"] ** 2.0 + C["phi"] ** 2.0)
stddevs.append(np.log(10.0 **
(sigma + np.zeros(num_sites))))
elif stddev_type == const.StdDev.INTRA_EVENT:
stddevs.append(np.log(10.0 **
(C["phi"] + np.zeros(num_sites))))
elif stddev_type == const.StdDev.INTER_EVENT:
stddevs.append(np.log(10.0 **
(C["tau"] + np.zeros(num_sites))))
return stddevs
# Coefficients from Table 5, Page 64
COEFFS = CoeffsTable(sa_damping=5, table="""\
IMT c1 c2 c3 c4 c5 c6 c7 c8 c9 c10 c11 sigma tau phi
pgv -2.9598 0.9039 -0.0434 -1.6243 0.1987 -1.6511 0.1654 -2.4308 0.0851 -0.001472 1.7736 0.347 0.311 0.153
pga -0.0135 0.6889 -0.0488 -1.8987 0.2151 -1.9063 0.1740 -2.0131 0.0887 -0.002747 1.5473 0.436 0.409 0.153
0.03 0.8282 0.5976 -0.0418 -2.1321 0.2159 -2.0530 0.1676 -1.5148 0.1163 -0.004463 1.1096 0.449 0.417 0.167
0.04 0.4622 0.6273 -0.0391 -1.7242 0.1644 -1.6849 0.1270 -1.4513 0.0910 -0.004355 1.1344 0.445 0.417 0.155
0.05 0.2734 0.6531 -0.0397 -1.5932 0.1501 -1.5698 0.1161 -1.5350 0.0766 -0.003939 1.1493 0.442 0.416 0.149
0.06 0.0488 0.6945 -0.0420 -1.4913 0.1405 -1.4807 0.1084 -1.6563 0.0657 -0.003449 1.2154 0.438 0.414 0.143
0.08 -0.2112 0.7517 -0.0460 -1.4151 0.1340 -1.4130 0.1027 -1.7821 0.0582 -0.002987 1.2858 0.433 0.410 0.140
0.10 -0.5363 0.8319 -0.0521 -1.3558 0.1296 -1.3579 0.0985 -1.8953 0.0520 -0.002569 1.3574 0.428 0.405 0.138
0.12 -0.9086 0.9300 -0.0597 -1.3090 0.1264 -1.3120 0.0948 -1.9863 0.0475 -0.002234 1.4260 0.422 0.399 0.138
0.16 -1.3733 1.0572 -0.0698 -1.2677 0.1237 -1.2684 0.0910 -2.0621 0.0434 -0.001944 1.4925 0.416 0.392 0.139
0.20 -1.9180 1.2094 -0.0819 -1.2315 0.1213 -1.2270 0.0872 -2.1196 0.0396 -0.001708 1.5582 0.409 0.384 0.141
0.25 -2.5107 1.3755 -0.0949 -1.1992 0.1189 -1.1881 0.0833 -2.1598 0.0361 -0.001522 1.6049 0.402 0.376 0.144
0.31 -3.1571 1.5549 -0.1087 -1.1677 0.1160 -1.1494 0.0791 -2.1879 0.0328 -0.001369 1.6232 0.395 0.366 0.148
0.40 -3.8516 1.7429 -0.1228 -1.1354 0.1126 -1.1099 0.0746 -2.2064 0.0294 -0.001240 1.6320 0.387 0.356 0.152
0.50 -4.5556 1.9258 -0.1360 -1.1015 0.1084 -1.0708 0.0700 -2.2171 0.0261 -0.001129 1.6109 0.378 0.345 0.156
0.63 -5.2405 2.0926 -0.1471 -1.0659 0.1035 -1.0328 0.0655 -2.2220 0.0229 -0.001033 1.5735 0.369 0.333 0.160
0.79 -5.8909 2.2357 -0.1557 -1.0279 0.0981 -0.9969 0.0612 -2.2229 0.0197 -0.000945 1.5262 0.360 0.320 0.164
1.00 -6.4633 2.3419 -0.1605 -0.9895 0.0925 -0.9665 0.0577 -2.2211 0.0167 -0.000863 1.4809 0.350 0.307 0.168
1.25 -6.9250 2.4037 -0.1612 -0.9545 0.0879 -0.9462 0.0558 -2.2178 0.0139 -0.000785 1.4710 0.341 0.294 0.172
1.59 -7.2960 2.4189 -0.1573 -0.9247 0.0848 -0.9421 0.0567 -2.2137 0.0111 -0.000701 1.5183 0.331 0.280 0.177
2.00 -7.5053 2.3805 -0.1492 -0.9128 0.0855 -0.9658 0.0619 -2.2110 0.0086 -0.000618 1.6365 0.323 0.267 0.181
2.50 -7.5569 2.2933 -0.1376 -0.9285 0.0915 -1.0264 0.0729 -2.2108 0.0067 -0.000535 1.8421 0.315 0.254 0.186
3.13 -7.4510 2.1598 -0.1228 -0.9872 0.1050 -1.1349 0.0914 -2.2141 0.0060 -0.000458 2.1028 0.308 0.242 0.190
4.00 -7.1688 1.9738 -0.1048 -1.1274 0.1325 -1.3132 0.1207 -2.2224 0.0079 -0.000397 2.4336 0.299 0.227 0.195
5.00 -6.8063 1.7848 -0.0879 -1.3324 0.1691 -1.5158 0.1533 -2.2374 0.0142 -0.000387 2.6686 0.291 0.214 0.198
""")
CONSTS = {"r0": 10.0,
"r1": 50.0,
"r2": 100.0}
class RietbrockEtAl2013MagDependent(RietbrockEtAl2013SelfSimilar):
"""
Implements the Rietbrock et al (2013) GMPE for the case in which the
stress parameter is magnitude-dependent (Table 6, Page 65)
"""
# Coefficients from Table 6, Page 65
COEFFS = CoeffsTable(sa_damping=5, table="""\
IMT c1 c2 c3 c4 c5 c6 c7 c8 c9 c10 c11 sigma tau phi
pgv -4.9398 1.7051 -0.1081 -1.6063 0.2084 -1.6040 0.1527 -2.2932 0.0659 -0.001643 3.1138 0.276 0.229 0.155
pga -2.6934 1.7682 -0.1366 -1.8544 0.2123 -1.8467 0.1590 -1.8809 0.0681 -0.002888 2.1589 0.335 0.298 0.154
0.03 -1.9654 1.7265 -0.1346 -2.1011 0.2101 -2.0063 0.1555 -1.3684 0.0946 -0.004626 1.3437 0.348 0.304 0.169
0.04 -2.3216 1.7592 -0.1328 -1.7198 0.1635 -1.6582 0.1192 -1.3348 0.0730 -0.004488 1.3363 0.343 0.305 0.157
0.05 -2.4879 1.7771 -0.1328 -1.5910 0.1502 -1.5447 0.1087 -1.4304 0.0599 -0.004056 1.3942 0.339 0.304 0.150
0.06 -2.6647 1.8009 -0.1336 -1.4916 0.1409 -1.4576 0.1013 -1.5603 0.0494 -0.003549 1.4587 0.335 0.302 0.144
0.08 -2.8579 1.8325 -0.1353 -1.4169 0.1349 -1.3909 0.0959 -1.6918 0.0423 -0.003077 1.5466 0.330 0.299 0.140
0.10 -3.0920 1.8771 -0.1381 -1.3587 0.1312 -1.3363 0.0919 -1.8091 0.0363 -0.002651 1.6583 0.325 0.295 0.138
0.12 -3.3595 1.9336 -0.1419 -1.3133 0.1289 -1.2908 0.0884 -1.9038 0.0322 -0.002311 1.7807 0.320 0.289 0.137
0.16 -3.6974 2.0096 -0.1472 -1.2717 0.1262 -1.2472 0.0847 -1.9844 0.0286 -0.002015 1.8540 0.314 0.282 0.138
0.20 -4.1004 2.1032 -0.1537 -1.2341 0.1234 -1.2055 0.0809 -2.0474 0.0254 -0.001772 1.9055 0.307 0.273 0.141
0.25 -4.5462 2.2068 -0.1607 -1.1985 0.1198 -1.1658 0.0770 -2.0935 0.0227 -0.001579 1.9052 0.301 0.263 0.145
0.31 -5.0372 2.3180 -0.1679 -1.1625 0.1155 -1.1258 0.0728 -2.1276 0.0201 -0.001419 1.8732 0.294 0.253 0.150
0.40 -5.5650 2.4307 -0.1745 -1.1242 0.1104 -1.0847 0.0682 -2.1519 0.0176 -0.001282 1.8142 0.288 0.242 0.155
0.50 -6.0933 2.5325 -0.1795 -1.0837 0.1043 -1.0436 0.0635 -2.1680 0.0152 -0.001166 1.7238 0.282 0.231 0.161
0.63 -6.5914 2.6123 -0.1820 -1.0432 0.0985 -1.0044 0.0591 -2.1775 0.0129 -0.001066 1.6524 0.276 0.220 0.167
0.79 -7.0402 2.6616 -0.1813 -1.0023 0.0927 -0.9683 0.0552 -2.1820 0.0109 -0.000977 1.5900 0.272 0.210 0.172
1.00 -7.4028 2.6715 -0.1767 -0.9634 0.0877 -0.9394 0.0526 -2.1827 0.0092 -0.000898 1.5549 0.268 0.201 0.177
1.25 -7.6577 2.6402 -0.1686 -0.9299 0.0842 -0.9226 0.0519 -2.1811 0.0079 -0.000827 1.5712 0.265 0.193 0.181
1.59 -7.8128 2.5609 -0.1559 -0.9021 0.0829 -0.9242 0.0544 -2.1782 0.0069 -0.000756 1.6701 0.262 0.185 0.186
2.00 -7.8368 2.4440 -0.1409 -0.8896 0.0857 -0.9546 0.0613 -2.1751 0.0064 -0.000691 1.9205 0.260 0.177 0.191
2.50 -7.7341 2.2967 -0.1244 -0.9012 0.0975 -1.0270 0.0747 -2.1717 0.0066 -0.000634 2.6233 0.258 0.169 0.195
3.13 -7.4991 2.1232 -0.1072 -0.9638 0.1202 -1.1604 0.0965 -2.1763 0.0077 -0.000571 3.5221 0.256 0.161 0.199
4.00 -7.1376 1.9232 -0.0893 -1.1238 0.1549 -1.3647 0.1284 -2.1901 0.0114 -0.000515 4.0984 0.253 0.152 0.203
5.00 -6.7757 1.7502 -0.0753 -1.3603 0.1960 -1.5804 0.1613 -2.2070 0.0191 -0.000518 4.3313 0.251 0.144 0.205
""")
| [
"[email protected]"
] | |
6d79e71393d64f0edbbbf664cb42d7c442fe0144 | 291ab4b5b1b99d0d59ce2fb65efef04b84fd78bd | /tmp_testdir/Forex_Trading212/test7_login_trading212_getlist_clickable_ids.py | aea9cb52055d4c857f788869d5590a1fda71a568 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | cromox1/Trading212 | 15b5ea55d86e7063228f72dd92525e1fca693338 | 68f9b91098bc9184e16e9823a5e07e6b31e59602 | refs/heads/main | 2023-04-17T23:03:07.078229 | 2021-05-05T23:02:54 | 2021-05-05T23:02:54 | 320,100,427 | 0 | 2 | null | 2021-04-13T07:03:41 | 2020-12-09T22:58:06 | Python | UTF-8 | Python | false | false | 3,499 | py | __author__ = 'cromox'
from time import sleep
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.keys import Keys
from selenium.common.exceptions import WebDriverException
# from selenium.webdriver.common.action_chains import ActionChains as hoover
chromedriverpath = r'C:\tools\chromedriver\chromedriver.exe'
chrome_options = Options()
chrome_options.add_argument('--ignore-certificate-errors')
chrome_options.add_argument("--disable-web-security")
# chrome_options.add_argument("--incognito")
chrome_options.add_argument("--allow-running-insecure-content")
chrome_options.add_argument("--allow-cross-origin-auth-prompt")
chrome_options.add_argument("--disable-cookie-encryption")
chrome_options.add_argument('--disable-dev-shm-usage')
chrome_options.add_argument('--disable-default-apps')
chrome_options.add_argument('--disable-prompt-on-repost')
chrome_options.add_argument("--disable-zero-browsers-open-for-tests")
chrome_options.add_argument("--no-default-browser-check")
chrome_options.add_argument("--test-type")
prefs = {"profile.default_content_setting_values.notifications" : 2}
chrome_options.add_experimental_option("prefs", prefs)
## webdriver section
driver = webdriver.Chrome(chromedriverpath, options=chrome_options)
driver.implicitly_wait(10)
base_url = "https://www.trading212.com"
driver.maximize_window()
driver.get(base_url)
driver.find_element_by_id("cookie-bar").click()
driver.find_element_by_id("login-header-desktop").click()
user1 = "[email protected]"
pswd1 = "Serverg0d!"
driver.find_element_by_id("username-real").send_keys(user1 + Keys.ENTER)
driver.find_element_by_id("pass-real").send_keys(pswd1 + Keys.ENTER)
sleep(10)
# ### Need to find a way to go to pop-up window
# but for now I just use simple solution - find the xpath :-)
xpath1 = '//*[@id="onfido-upload"]/div[1]/div[2]'
driver.find_element_by_xpath(xpath1).click()
template_bar = '//*[@id="chartTabTemplates"]/div'
driver.find_element_by_id("chartTabTemplates").click()
search_section = driver.find_element_by_id("navigation-search-button")
search_section.click()
# search_section.send_keys('GBP/USD' + Keys.ENTER)
driver.find_element_by_xpath("//*[contains(text(),'Currencies')]").click()
driver.find_element_by_xpath("//*[contains(text(),'Major')]").click()
# CSS selector
# valuetofind = 'input[id*="uniqName_"]'
# list_ids = driver.find_elements_by_css_selector(valuetofind)
# # XPATH
valuetofind = '//*[contains(@id, "uniqName_")]'
list_ids = driver.find_elements_by_xpath(valuetofind)
# print('ALL = ', list_ids)
print('ALL uniqName = ', len(list_ids))
if len(list_ids) >= 1:
i = 1
for idx in list_ids:
try:
idxx = idx.get_attribute('id')
print(i, idxx, end='')
try:
if 'GBP/USD' in driver.find_element_by_id(idxx).text:
idx.click()
print(' / CLICKABLE')
else:
print(' / # NO GBP/USD')
except WebDriverException:
print(' / NOT CLICKABLE')
except WebDriverException:
print(i, idx.id, end='')
try:
if 'GBP/USD' in idx.text:
idx.click()
print(' / CLICKABLE')
else:
print(' / # NO GBP/USD')
except WebDriverException:
print(' / NOT CLICKABLE')
i += 1
else:
print('NO ELEMENT APPEARED !!') | [
"[email protected]"
] | |
5b87694f3a2a886ff560e2762344f137ca502f69 | 434fb731cb30b0f15e95da63f353671b0153c849 | /build/hector_slam/hector_slam_launch/catkin_generated/pkg.installspace.context.pc.py | f6f612668cd0e6089313919ad50250aaa8624d2b | [] | no_license | lievech/lhn_ws | e3e10ff20e28e59583e51660d2802ff24c7cd0b5 | 644fc48b91788078734df9bdece06c8b9f6b45b9 | refs/heads/master | 2020-08-02T20:21:19.489061 | 2019-09-28T12:08:26 | 2019-09-28T12:08:26 | 211,494,773 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 376 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "".split(';') if "" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "hector_slam_launch"
PROJECT_SPACE_DIR = "/home/lhn/lhn_ws/install"
PROJECT_VERSION = "0.3.5"
| [
"[email protected]"
] | |
3ab187b444848f3432ee2fe85296aa11c48ef180 | 7cdfbe80ac56a042b9b99c1cb17766683da439b4 | /paper2/setup_files/old_setup/results.py | e65818b069a43060086e85eafae81b63aa9666d4 | [] | no_license | bacook17/pixcmd | 1e918cc6b147abe1885f9533836005b9f2b30012 | fac20ced14492fd32448d2722c377d88145f90a1 | refs/heads/master | 2021-01-18T11:54:13.625834 | 2019-07-30T15:13:12 | 2019-07-30T15:13:12 | 67,228,636 | 0 | 0 | null | 2016-09-02T14:18:59 | 2016-09-02T14:18:58 | null | UTF-8 | Python | false | false | 6,480 | py | __all__ = ['models', 'results', 'pcmds', 'data']
try:
import pcmdpy_gpu as ppy
except:
import pcmdpy as ppy
import numpy as np
from os.path import expanduser
models = {}
run_names = {}
results = {}
pcmds = {}
data = {}
results_dir = expanduser('~/pCMDs/pixcmd/paper2/results/')
data_dir = expanduser('~/pCMDs/pixcmd/data/')
model_nonparam = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.SingleFeH(),
ppy.dustmodels.SingleDust(),
ppy.sfhmodels.NonParam(),
ppy.distancemodels.VariableDistance()
)
model_fixeddist = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.SingleFeH(),
ppy.dustmodels.SingleDust(),
ppy.sfhmodels.NonParam(),
ppy.distancemodels.FixedDistance()
)
model_tau = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.SingleFeH(),
ppy.dustmodels.SingleDust(),
ppy.sfhmodels.TauModel(),
ppy.distancemodels.VariableDistance()
)
model_ssp = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.SingleFeH(),
ppy.dustmodels.SingleDust(),
ppy.sfhmodels.SSPModel(),
ppy.distancemodels.VariableDistance()
)
model_ssp_mdf = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.FixedWidthNormMDF(0.2),
ppy.dustmodels.SingleDust(),
ppy.sfhmodels.SSPModel(),
ppy.distancemodels.VariableDistance()
)
model_ssp_fixed = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.SingleFeH(),
ppy.dustmodels.SingleDust(),
ppy.sfhmodels.SSPModel(),
ppy.distancemodels.FixedDistance()
)
custom_sfh = ppy.sfhmodels.NonParam()
custom_sfh.update_sfh_edges(np.array([9.5, 9.75, 10.0, 10.2]))
custom_sfh.update_edges(np.arange(9.0, 10.3, 0.1))
model_df2_nonparam = ppy.galaxy.CustomGalaxy(
ppy.metalmodels.SingleFeH(),
ppy.dustmodels.SingleDust(),
custom_sfh,
ppy.distancemodels.VariableDistance()
)
def add_set(galaxy, mnum, region, key, model=model_nonparam,
colors='z_gz', run_name=None):
data_file = data_dir + f'{galaxy.lower()}/pcmds/{galaxy}_{colors}_{region}.pcmd'
run_names[key] = run_name
res_file = results_dir + f'{galaxy}_m{mnum}_r{region}.csv'
live_file = res_file.replace('.csv', '_live.csv')
pcmd_file = res_file.replace('.csv', '.pcmd')
models[key] = model.copy()
results[key] = ppy.results.ResultsPlotter(
res_file, live_file=live_file, run_name=run_name,
gal_model=models[key], model_is_truth=False)
data[key] = np.loadtxt(data_file, unpack=True)
try:
pcmds[key] = np.loadtxt(pcmd_file, unpack=True)
except:
pass
# M87
print('M87')
add_set('M87', 3, 44, 'M87_m3', colors='I_VI')
add_set('M87', 4, 104, 'M87_m4', colors='I_VI')
add_set('M87', 4, 101, 'M87_m4_q1', colors='I_VI')
add_set('M87', 4, 102, 'M87_m4_q2', colors='I_VI')
add_set('M87', 4, 103, 'M87_m4_q3', colors='I_VI')
add_set('M87', 5, 204, 'M87_m5', colors='I_VI')
add_set('M87', 6, 264, 'M87_m6', colors='I_VI')
add_set('M87', 7, 104, 'M87_m7', model=model_fixeddist, colors='I_VI')
add_set('M87', 8, 104, 'M87_m8', model=model_tau, colors='I_VI')
add_set('M87', 9, 104, 'M87_m9', model=model_ssp, colors='I_VI')
add_set('M87', 10, 104, 'M87_m10', model=model_ssp, colors='I_VI')
add_set('M87', 11, 104, 'M87_m11', model=model_ssp, colors='I_VI')
add_set('M87', 12, 104, 'M87_m12', model=model_ssp_fixed, colors='I_VI')
add_set('M87', 13, 104, 'M87_m13', model=model_ssp, colors='I_VI')
add_set('M87', 14, 104, 'M87_m14', model=model_ssp, colors='I_VI')
add_set('M87', 15, 104, 'M87_m15', model=model_ssp_mdf, colors='I_VI')
add_set('M87', 16, 104, 'M87_m16', model=model_ssp, colors='I_VI')
add_set('M87', 17, 104, 'M87_m17', model=model_ssp, colors='I_VI')
add_set('M87', 18, 44, 'M87_m18_1', model=model_ssp, colors='I_VI')
add_set('M87', 18, 104, 'M87_m18_2', model=model_ssp, colors='I_VI')
add_set('M87', 18, 204, 'M87_m18_3', model=model_ssp, colors='I_VI')
add_set('M87', 18, 264, 'M87_m18_4', model=model_ssp, colors='I_VI')
# M49
print('M49')
add_set('M49', 3, 40, 'M49_m3')
add_set('M49', 4, 100, 'M49_m4')
add_set('M49', 4, 97, 'M49_m4_q1')
add_set('M49', 4, 98, 'M49_m4_q2')
add_set('M49', 4, 99, 'M49_m4_q3')
add_set('M49', 5, 204, 'M49_m5')
add_set('M49', 6, 256, 'M49_m6')
add_set('M49', 7, 100, 'M49_m7', model=model_fixeddist)
add_set('M49', 8, 100, 'M49_m8', model=model_tau)
add_set('M49', 9, 100, 'M49_m9', model=model_ssp)
add_set('M49', 10, 100, 'M49_m10', model=model_ssp)
add_set('M49', 11, 40, 'M49_m11_1', model=model_ssp)
add_set('M49', 11, 100, 'M49_m11_2', model=model_ssp)
add_set('M49', 11, 204, 'M49_m11_3', model=model_ssp)
add_set('M49', 11, 256, 'M49_m11_4', model=model_ssp)
# NGC 3377
print('NGC3377')
add_set('NGC3377', 3, 41, 'NGC3377_m3')
add_set('NGC3377', 4, 97, 'NGC3377_m4')
add_set('NGC3377', 4, 98, 'NGC3377_m4_q1')
add_set('NGC3377', 4, 99, 'NGC3377_m4_q2')
add_set('NGC3377', 4, 100, 'NGC3377_m4_q3')
add_set('NGC3377', 5, 173, 'NGC3377_m5')
add_set('NGC3377', 6, 241, 'NGC3377_m6')
add_set('NGC3377', 7, 97, 'NGC3377_m7', model=model_fixeddist)
add_set('NGC3377', 8, 97, 'NGC3377_m8', model=model_tau)
add_set('NGC3377', 9, 97, 'NGC3377_m9', model=model_ssp)
add_set('NGC3377', 10, 97, 'NGC3377_m10', model=model_ssp)
add_set('NGC3377', 11, 41, 'NGC3377_m11_1', model=model_ssp)
add_set('NGC3377', 11, 97, 'NGC3377_m11_2', model=model_ssp)
add_set('NGC3377', 11, 173, 'NGC3377_m11_3', model=model_ssp)
add_set('NGC3377', 11, 241, 'NGC3377_m11_4', model=model_ssp)
# NGC 4993
print('NGC4993')
add_set('NGC4993', 3, 35, 'NGC4993_m3')
add_set('NGC4993', 4, 83, 'NGC4993_m4')
add_set('NGC4993', 4, 81, 'NGC4993_m4_q1')
add_set('NGC4993', 4, 82, 'NGC4993_m4_q2')
add_set('NGC4993', 4, 84, 'NGC4993_m4_q3')
add_set('NGC4993', 5, 103, 'NGC4993_m5')
# add_set('NGC4993', 6, 241, 'NGC4993_m6')
add_set('NGC4993', 7, 83, 'NGC4993_m7', model=model_fixeddist)
add_set('NGC4993', 8, 83, 'NGC4993_m8', model=model_tau)
add_set('NGC4993', 9, 83, 'NGC4993_m9', model=model_ssp)
# DF2
print('DF2')
for i in range(1, 6):
df2_res = results_dir + f'DF2_m{i}.csv'
df2_live = df2_res.replace('.csv', '_live.csv')
df2_data = data_dir + 'DF2/pcmds/DF2_I_VI_1.pcmd'
if i in [2, 4]:
model = model_df2_nonparam.copy()
else:
model = model_ssp.copy()
results[f'DF2_m{i}'] = ppy.results.ResultsPlotter(
df2_res, live_file=df2_live, run_name=f'DF2, model {i}',
gal_model=model, model_is_truth=False)
data[f'DF2_m{i}'] = np.loadtxt(df2_data, unpack=True)
try:
pcmds[f'DF2_m{i}'] = np.loadtxt(df2_res.replace('.csv', '.pcmd'), unpack=True)
except:
pass
| [
"[email protected]"
] | |
1fc1f45b446d4c3afe5b69bf2f9515f4c46607ff | 3e381dc0a265afd955e23c85dce1e79e2b1c5549 | /hs-S1/icice_ucgenler.py | 77342ff2d6194916bac0664099c50bf72246660a | [] | no_license | serkancam/byfp2-2020-2021 | 3addeb92a3ff5616cd6dbd3ae7b2673e1a1a1a5e | c67206bf5506239d967c3b1ba75f9e08fdbad162 | refs/heads/master | 2023-05-05T04:36:21.525621 | 2021-05-29T11:56:27 | 2021-05-29T11:56:27 | 322,643,962 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 253 | py | import turtle as t
t.Screen().setup(600, 600)
# https://studio.code.org/s/course4/stage/10/puzzle/2
for adim in range(50, 101, 10): # 50 60 70 80 90 100
for i in range(3): # 0 1 2
t.forward(adim)
t.left(120)
t.done()
| [
"[email protected]"
] | |
a3411e1ceb6ec195c179f41219c2ee0009ff2aee | a851573ec818149d03602bb17b1b97235b810a06 | /apps/network1/views.py | 4660b228bf38e659146ac63097baf2a2b9f8438a | [] | no_license | kswelch53/mypython_projects2 | 42afc71714ff7e10e1d8d4e6a5965ff58380e9bd | 97d9faa5ea326b86dd7f48be1a822b3a58f3189c | refs/heads/master | 2021-04-06T07:22:04.982315 | 2018-03-30T02:35:20 | 2018-03-30T02:35:20 | 125,312,491 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,143 | py | from django.shortcuts import render, HttpResponse, redirect
# links model to view functions
from .models import User
# allows flash messages to html
from django.contrib import messages
# Note: Registration and login validations are done in models.py
# displays a form on index.html for users to enter login or registration info
def index(request):
print("This is index function in network1 views.py")
return render(request, 'network1/index.html')
# logs in user if validations are met
def login(request):
print("This is login function in network1 views.py")
# saves user POST data from models method login_user in response_from_models:
response_from_models = User.objects.login_user(request.POST)
print("Response from models:", response_from_models)
if response_from_models['status']:#if true (validations are met):
#saves user data in session, sends user to 2nd app:
request.session['user_id'] = response_from_models['user'].id
request.session['user_name'] = response_from_models['user'].name
return redirect('network2:index')
else:#returns user to index.html, displays error message:
messages.error(request, response_from_models['errors'])
return redirect('network1:index')
# saves a user object if registration validations are met
def register(request):
print("This is register function in network1 views.py")
# this checks that users have submitted form data before proceeding to register route
if request.method == 'POST':
print("Request.POST:", request.POST)
# invokes validations method from the model manager
# saves user data from models.py in a variable
# whatever is sent back in the UserManager return statement
response_from_models = User.objects.validate_user(request.POST)
print("Response from models:", response_from_models)
if response_from_models['status']:#if true
# passed the validations and created a new user
# user can now be saved in session, by id:
# index method in 2nd app will use this:
request.session['user_id'] = response_from_models['user'].id
request.session['user_name'] = response_from_models['user'].name
print("Name:", request.session['user_name'])
#redirects to index method in 2nd app via named route network2 from project-level urls.py
return redirect('network2:index')#named route/views.py method
# 1st app handles only logging in / registering users
else:
# add flash messages to html:
for error in response_from_models['errors']:
messages.error(request, error)
# returns to index.html via named route network1, index method in views.py
return redirect('network1:index')
# if not POST, redirects to index method via named route namespace=network1
else:
return redirect('network1:index')
def logout (request):
request.session.clear()#deletes everything in session
return redirect('network1:index')
| [
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] | |
1eb1a20cca4e64744c3c860ba9ffc78209de8c23 | f07a42f652f46106dee4749277d41c302e2b7406 | /Data Set/bug-fixing-4/3339d802402fd2f2ed5e954434c637bf7a68124d-<_make_validation_split>-bug.py | 1827f4775913b4407f7cdf26bba80b06443aca84 | [] | no_license | wsgan001/PyFPattern | e0fe06341cc5d51b3ad0fe29b84098d140ed54d1 | cc347e32745f99c0cd95e79a18ddacc4574d7faa | refs/heads/main | 2023-08-25T23:48:26.112133 | 2021-10-23T14:11:22 | 2021-10-23T14:11:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,278 | py | def _make_validation_split(self, y):
'Split the dataset between training set and validation set.\n\n Parameters\n ----------\n y : array, shape (n_samples, )\n Target values.\n\n Returns\n -------\n validation_mask : array, shape (n_samples, )\n Equal to 1 on the validation set, 0 on the training set.\n '
n_samples = y.shape[0]
validation_mask = np.zeros(n_samples, dtype=np.uint8)
if (not self.early_stopping):
return validation_mask
if is_classifier(self):
splitter_type = StratifiedShuffleSplit
else:
splitter_type = ShuffleSplit
cv = splitter_type(test_size=self.validation_fraction, random_state=self.random_state)
(idx_train, idx_val) = next(cv.split(np.zeros(shape=(y.shape[0], 1)), y))
if ((idx_train.shape[0] == 0) or (idx_val.shape[0] == 0)):
raise ValueError(('Splitting %d samples into a train set and a validation set with validation_fraction=%r led to an empty set (%d and %d samples). Please either change validation_fraction, increase number of samples, or disable early_stopping.' % (n_samples, self.validation_fraction, idx_train.shape[0], idx_val.shape[0])))
validation_mask[idx_val] = 1
return validation_mask | [
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] | |
214b351155bd5bbd835658ddee5d7b0cf7b101c2 | e1fa4f0e678bcc7a71afd23fd1bd693a4f503765 | /ss/ss_coroutine.py | b0e5c58010598a07ff04339fa96dc5854805145a | [] | no_license | smallstrong0/spider | b20460b33aeee5989870acd95cc1addd6996c1ed | cb3807978ff9599fbf669fe4068040f4252f6432 | refs/heads/master | 2020-03-31T07:59:43.046207 | 2019-01-03T15:47:06 | 2019-01-03T15:47:06 | 152,041,262 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 522 | py | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/10/18 22:07
# @Author : SmallStrong
# @Des :
# @File : ss_coroutine.py
# @Software: PyCharm
import sys
import os
# 被逼无奈
sys.path.append(os.getcwd().replace('/ss', ''))
from spider_core import go
from func import exe_time
from gevent import monkey, pool
import config
monkey.patch_all()
@exe_time
def main():
p = pool.Pool(config.COROUTINE_LIMIT_NUM)
while config.FLAG:
p.spawn(go)
if __name__ == '__main__':
main()
| [
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] | |
0f681b24574bb63ce377e1191448ddd879adf9f5 | a1a42b2165f8cb899bff02f10d8b081b372ce9d3 | /mshub-gc/tools/mshub-gc/proteosafe.py | e07803964ed3cb3f1c66b859fd0c5d1233211319 | [
"Apache-2.0"
] | permissive | CCMS-UCSD/GNPS_Workflows | 47ca90ba177b3ddc1a71877a3ee92473e0fe392b | 8c6772e244c6f3e5ea7cd5eae873b6faa48b7313 | refs/heads/master | 2023-08-31T13:38:51.911232 | 2023-08-24T06:06:37 | 2023-08-24T06:06:37 | 57,243,138 | 41 | 45 | NOASSERTION | 2023-06-13T16:54:49 | 2016-04-27T19:52:07 | HTML | UTF-8 | Python | false | false | 72 | py | ../../../CCMS_ProteoSAFe_pythonAPI/ccmsproteosafepythonapi/proteosafe.py | [
"[email protected]"
] | |
d8fadea0f97b759ec5a8eb75c034fb3b9505259d | e46a95f42e61c71968c60400f11924b4ad22bf59 | /0x09-Unittests_and_integration_tests/test_utils.py | c82ada87f519caa128197f16d307056ad525f535 | [] | no_license | mahdibz97/holbertonschool-web_back_end | 669b68c7ba6be937757a88999c7acc6afd6b58ca | 017a250f477599aee48f77e9d215c74b4bb62a14 | refs/heads/master | 2023-06-04T15:25:14.752977 | 2021-06-15T23:39:43 | 2021-06-15T23:39:43 | 348,126,696 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,351 | py | #!/usr/bin/env python3
""" unittesting Module """
from typing import Mapping, Sequence
import unittest
from unittest.case import TestCase
from unittest.mock import patch
from parameterized import parameterized
from utils import access_nested_map, get_json, memoize
class TestAccessNestedMap(unittest.TestCase):
""" access_nested_map unit testing class """
@parameterized.expand([
({"a": 1}, ("a",), 1),
({"a": {"b": 2}}, ("a",), {"b": 2}),
({"a": {"b": 2}}, ("a", "b"), 2)
])
def test_access_nested_map(self, nested_map: Mapping, path: Sequence, res):
""" access_nested_map result testing method """
self.assertEqual(access_nested_map(nested_map, path), res)
@parameterized.expand([
({}, ("a",)),
({"a": 1}, ("a", "b")),
])
def test_access_nested_map_exception(self,
nested_map: Mapping,
path: Sequence):
""" access_nested_map exceptions testing method """
self.assertRaises(KeyError, access_nested_map, nested_map, path)
class TestGetJson(unittest.TestCase):
""" get_json unit testing class """
@parameterized.expand([
("http://example.com", {"test_payload": True}),
("http://holberton.io", {"test_payload": False})
])
def test_get_json(self, test_url, test_payload):
""" get_json result and number of calls testing method """
with patch('requests.get') as patched:
patched.return_value.json.return_value = test_payload
self.assertEqual(get_json(test_url), test_payload)
patched.assert_called_once()
class TestMemoize(unittest.TestCase):
""" memoize decorator unit testing class """
def test_memoize(self):
""" memoize decorator result and number of calls testing method """
class TestClass:
def a_method(self):
return 42
@memoize
def a_property(self):
return self.a_method()
with patch.object(TestClass, 'a_method', return_value=42) as patched:
test_class = TestClass()
self.assertEqual(test_class.a_property, patched.return_value)
self.assertEqual(test_class.a_property, patched.return_value)
patched.assert_called_once()
| [
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] | |
e372ecde50ffe894a9ac6d0b20f743cc0b640425 | b125f9a750a519c9c7a5ed66adb8530e0237367b | /str/StrDemo11.py | 5931339c369e670d1e64b0c073cf7184825c807b | [] | no_license | isisisisisitch/geekPython | 4e49fe19b4cca9891056f33464518272265e3dab | 635e246dca7a221d87a3b3c5b07d1e177527498f | refs/heads/master | 2021-05-27T01:29:09.755225 | 2021-01-18T23:18:46 | 2021-01-18T23:18:46 | 254,200,920 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 290 | py | #the taste is not xxx poor!
#the taste is good!
#the taste is poor!
#the taste is poor!
str="the taste is xxx poor"
snot = str.find("not")
print(snot)
spoor = str.find("poor")
if spoor> snot and snot>0:
str = str.replace(str[snot:(spoor+4)],"good")
print(str)
else:
print(str) | [
"[email protected]"
] | |
9f52f653a93cd4087e7542d49ffc7bedf4a10ac7 | d554b1aa8b70fddf81da8988b4aaa43788fede88 | /5 - Notebooks e Data/1 - Análises numéricas/Arquivos David/Atualizados/logDicas-master/data/2019-1/222/users/4066/codes/1846_1273.py | b84605ab2c0be8357722a17f2744c6e7aaf7d32b | [] | no_license | JosephLevinthal/Research-projects | a3bc3ca3b09faad16f5cce5949a2279cf14742ba | 60d5fd6eb864a5181f4321e7a992812f3c2139f9 | refs/heads/master | 2022-07-31T06:43:02.686109 | 2020-05-23T00:24:26 | 2020-05-23T00:24:26 | 266,199,309 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 536 | py | from numpy import *
from numpy.linalg import *
# Nosso sistema aqui tem
matriz_dos_coeficientes = array([[1,-1,0,0],
[0, 1, -1, 0],
[0, 0, 1, 0],
[1, 0, 0, 1]])
# Resolução do sistema AX = B
# onde A = Matriz dos coeficientes, X = Vetor do Fluxo e B = Matriz das incognitas
matriz_das_incognitas = array([50,-120,350,870])
Vetor_do_Fluxo = dot(inv(matriz_dos_coeficientes),matriz_das_incognitas)
z = zeros(4)
for i in range(size(Vetor_do_Fluxo)):
z[i] = round(Vetor_do_Fluxo[i], 1)
print(z) | [
"[email protected]"
] | |
54f8f44f719f7d3c0acc91b5c3995ea9a048a642 | c0c4b1db16a7f85a74cba224f3ebea5660db379e | /old_files/AGILENT33220A_SERVER.py | 9bd730306419b55de399a47b7a53dd5763d04f45 | [] | no_license | trxw/HaeffnerLabLattice | 481bd222ebbe4b6df72a9653e18e0bf0d43ba15e | d88d345c239e217eeb14a39819cfe0694a119e7c | refs/heads/master | 2021-01-16T18:13:36.548643 | 2014-05-09T21:47:23 | 2014-05-09T21:47:23 | 20,747,092 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,087 | py | from labrad.server import LabradServer, setting
import serial
class AgilentServer(LabradServer):
"""Controls Agilent 33220A Signal Generator"""
name = "%LABRADNODE% AGILENT 33220A SERVER"
def initServer( self ):
#communication configuration
self._port = 'COM11'
self._addr = 0 #instruments GPIB address
#initialize communication
self._ser = serial.Serial(self._port)
self._ser.timeout = 1
self._ser.write(self.SetAddrStr(self._addr)) #set address
self.SetControllerWait(0) #turns off automatic listen after talk, necessary to stop line unterminated errors
@setting(1, "Identify", returns='s')
def Identify(self, c):
'''Ask instrument to identify itself'''
command = self.IdenStr()
self._ser.write(command)
self.ForceRead() #expect a reply from instrument
#time.sleep(self._waitTime) ## apperently not needed, communication fast
answer = self._ser.readline()[:-1]
return answer
@setting(2, "GetFreq", returns='v')
def GetFreq(self,c):
'''Returns current frequency'''
command = self.FreqReqStr()
self._ser.write(command)
self.ForceRead() #expect a reply from instrument
answer = self._ser.readline()
return answer
@setting(3, "SetFreq", freq = 'v', returns = "")
def SetFreq(self,c,freq):
'''Sets frequency, enter value in MHZ'''
command = self.FreqSetStr(freq)
self._ser.write(command)
@setting(4, "GetState", returns='w')
def GetState(self,c):
'''Request current on/off state of instrument'''
command = self.StateReqStr()
self._ser.write(command)
self.ForceRead() #expect a reply from instrument
answer = str(int(self._ser.readline()))
return answer
@setting(5, "SetState", state= 'w', returns = "")
def SetState(self,c, state):
'''Sets on/off (enter 1/0)'''
command = self.StateSetStr(state)
self._ser.write(command)
@setting(6, "GetPower", returns = 'v')
def GetPower(self,c):
''' Returns current power level in dBm'''
command = self.PowerReqStr()
self._ser.write(command)
self.ForceRead() #expect a reply from instrument
answer = self._ser.readline()
return answer
@setting(7, "SetPower", level = 'v',returns = "")
def SetPower(self,c, level):
'''Sets power level, enter power in dBm'''
command = self.PowerSetStr(level)
self._ser.write(command)
@setting(8, "GetVoltage", returns = 'v')
def GetVoltage(self,c):
'''Returns current voltage level in Volts'''
command = self.VoltageReqStr()
self._ser.write(command)
self.ForceRead() #expect a reply from instrument
answer = self._ser.readline()
return answer
@setting(9, "SetVoltage", level = 'v',returns = "")
def SetVoltage(self,c, level):
'''Sets voltage level, enter power in volts'''
command = self.VoltageSetStr(level)
self._ser.write(command)
@setting(10, "Get Function", returns = 's')
def GetFunc(self,c):
''' Returns the current function output of the instrument'''
command = self.FunctionReqStr()
self._ser.write(command)
self.ForceRead() #expect a reply from instrument
answer = self._ser.readline()[:-1]
return answer
@setting(11, "Set Function", func = 's',returns = "")
def setFunc(self,c, func):
'''Sets type of function to output: SINE, SQUARE, RAMP, PULSE, NOISE, or DC'''
command = self.FunctionSetStr(func)
self._ser.write(command)
#send message to controller to indicate whether or not (status = 1 or 0)
#a response is expected from the instrument
def SetControllerWait(self,status):
command = self.WaitRespStr(status) #expect response from instrument
self._ser.write(command)
def ForceRead(self):
command = self.ForceReadStr()
self._ser.write(command)
def IdenStr(self):
return '*IDN?'+'\r\n'
# string to request current frequency
def FreqReqStr(self):
return 'FREQuency?' + '\r\n'
# string to set freq in Hz
def FreqSetStr(self,freq):
return 'FREQuency '+ str(freq) +'\r\n'
# string to request on/off?
def StateReqStr(self):
return 'OUTPut?' + '\r\n'
# string to set on/off (state is given by 0 or 1)
def StateSetStr(self, state):
if state == 1:
comstr = 'OUTPut ON' + '\r\n'
else:
comstr = 'OUTPut OFF' + '\r\n'
return comstr
# string to request current power
def PowerReqStr(self):
return 'Voltage:UNIT DBM\r\n'+'Voltage?' + '\r\n'
# string to request voltage
def VoltageReqStr(self):
return 'Voltage:UNIT VPP\r\n'+'Voltage?' + '\r\n'
# string to set power (in dBm)
def PowerSetStr(self,pwr):
return 'Voltage:UNIT DBM\r\n' + 'Voltage ' +str(pwr) + '\r\n'
# string to set voltage
def VoltageSetStr(self,volt):
return 'Voltage:UNIT VPP\r\n'+'Voltage ' +str(volt) + '\r\n'
# string to get current function
def FunctionReqStr(self):
return 'FUNCtion?\r\n'
# string to set function
def FunctionSetStr(self,func):
if func == 'SINE':
comstr = 'FUNCtion ' + 'SIN' + '\r\n'
elif func == 'SQUARE':
comstr = 'FUNCtion ' + 'SQU' + '\r\n'
elif func == 'RAMP':
comstr = 'FUNCtion ' + 'RAMP' + '\r\n'
elif func == 'PULSE':
comstr = 'FUNCtion ' + 'PULSe' + '\r\n'
elif func == 'NOISE':
comstr = 'FUNCtion ' + 'NOISe' + '\r\n'
elif func == 'DC':
comstr = 'FUNCtion ' + 'DC' + '\r\n'
return comstr
# string to force read
def ForceReadStr(self):
return '++read eoi' + '\r\n'
# string for prologix to request a response from instrument, wait can be 0 for listen / for talk
def WaitRespStr(self, wait):
return '++auto '+ str(wait) + '\r\n'
# string to set the addressing of the prologix
def SetAddrStr(self, addr):
return '++addr ' + str(addr) + '\r\n'
if __name__ == "__main__":
from labrad import util
util.runServer(AgilentServer())
| [
"[email protected]"
] | |
a8f705ff4d757e712d27a813079a6e0403a5da1a | d6215e15d2a6adaf046b40012e6b07019b055e07 | /ScoringLayer.py | 2c299e11ad288ed59c2928fc906cd548403ccd8e | [
"MIT"
] | permissive | WinVector/YConditionalRegularizedModel | 4c53c801eb010e640898da7e6532582b809350d8 | c4d488871d05d369dcc7e1b7faf110567742d808 | refs/heads/master | 2021-05-20T08:54:15.635276 | 2020-04-02T20:20:24 | 2020-04-02T20:20:24 | 252,209,212 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,194 | py | # noinspection PyPep8Naming
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Layer
# check all but first shape index
def safe_mult(a, b):
if len(a.shape) < 2:
raise ValueError("Expected shape to be at least rank 2")
if str(a.shape[0]) != "?":
raise ValueError("Expected first shape entry to be ?")
ra = len(a.shape)
if ra != len(b.shape):
raise ValueError("input ranks did not match")
if str(b.shape[0]) != "?":
raise ValueError("Expected first shape entry to be ?")
for i in range(1, ra):
if a.shape[i] != b.shape[i]:
raise ValueError("input shapes did not match")
c = a * b
if len(c.shape) != ra:
raise ValueError("result rank did not match")
for i in range(1, ra):
if a.shape[i] != c.shape[i]:
raise ValueError("result shape did not match")
if str(c.shape[0]) != "?":
raise ValueError("Expected first shape entry to be ?")
return c
class ScoringLayer(Layer):
def __init__(self, *,
alpha=0.1,
debug=False,
var_ratio = True):
self.alpha = alpha
self.debug = debug
self.var_ratio = var_ratio
self.var_ratio_smoothing = 1.e-2
super(ScoringLayer, self).__init__()
def build(self, input_shape):
super(ScoringLayer, self).build(input_shape)
def compute_variational_loss(self, *, x, y_true, msg_id=0):
var_loss = None
if self.alpha <= 0:
return var_loss, msg_id
n_internal_layers = len(x) - 2
if n_internal_layers <= 0:
return var_loss, msg_id
layers_normalization = n_internal_layers * (n_internal_layers + 1) / 2
y_triples = [(y_is, row_indicator, K.sum(row_indicator) + 1.0e-6) for
y_is, row_indicator in [(1, y_true), (0, 1 - y_true)]] # assuming y_true is 0/1
for y_is, row_indicator, row_weight in y_triples:
if len(row_weight.shape) != 0:
raise ValueError("Expected row_weight.shape to be 0")
for i in range(1, len(x) - 1): # all but first and last layer
layer = x[i]
layer_weight = i / (layers_normalization * layer.shape.as_list()[1])
for j in range(layer.shape[1]):
xij = layer[:, j:(j + 1)] # try to keep shape
# y-pass 1/2 get conditional distributions and means
y_derived = dict()
for y_is, row_indicator, row_weight in y_triples:
coords = (
"(" + "y=" + str(y_is) + ", i=" + str(i) + ", j=" + str(j) + ")"
)
if self.debug:
xij = K.print_tensor(
xij, message=str(msg_id).zfill(3) + " " + "xij" + coords
)
msg_id = msg_id + 1
xij_conditional = safe_mult(row_indicator, xij)
if self.debug:
xij_conditional = K.print_tensor(
xij_conditional,
message=str(msg_id).zfill(3)
+ " "
+ "xij_conditional"
+ coords,
)
msg_id = msg_id + 1
xbar = K.sum(xij_conditional) / row_weight
if self.debug:
xbar = K.print_tensor(
xbar, message=str(msg_id).zfill(3) + " " + "xbar" + coords
)
msg_id = msg_id + 1
y_derived[y_is] = (xij_conditional, xbar)
mean_sq_diff = 1
if self.var_ratio:
xbar_0 = y_derived[0][1]
if len(xbar_0.shape) != 0:
raise ValueError("Expected xbar_0.shape to be 0")
xbar_1 = y_derived[1][1]
if len(xbar_1.shape) != 0:
raise ValueError("Expected xbar_1.shape to be 0")
mean_sq_diff = (xbar_1 - xbar_0)**2 + self.var_ratio_smoothing
if len(mean_sq_diff.shape) != 0:
raise ValueError("Expected mean_sq_diff.shape to be 0")
if self.debug:
coords = (
"(" + "i=" + str(i) + ", j=" + str(j) + ")"
)
mean_sq_diff = K.print_tensor(
mean_sq_diff,
message=str(msg_id).zfill(3) + " " + "mean_sq_diff" + coords,
)
msg_id = msg_id + 1
# y-pass 2/2 compute conditional variances
for y_is, row_indicator, row_weight in y_triples:
coords = (
"(" + "y=" + str(y_is) + ", i=" + str(i) + ", j=" + str(j) + ")"
)
xij_conditional, xbar = y_derived[y_is]
if len(xbar.shape) != 0:
raise ValueError("Expected xbar.shape to be 0")
diff_ij = xij - xbar
if self.debug:
diff_ij = K.print_tensor(
diff_ij,
message=str(msg_id).zfill(3) + " " + "diff_ij" + coords,
)
msg_id = msg_id + 1
diff_ij_conditional = safe_mult(row_indicator, diff_ij)
if self.debug:
diff_ij_conditional = K.print_tensor(
diff_ij_conditional,
message=str(msg_id).zfill(3)
+ " "
+ "diff_ij_conditional"
+ coords,
)
msg_id = msg_id + 1
# ratio of y-conditioned var over y-different var
conditional_var = diff_ij_conditional**2 / mean_sq_diff
wij = self.alpha * layer_weight
if self.debug:
conditional_var = K.print_tensor(
conditional_var,
message=str(msg_id).zfill(3)
+ " "
+ "conditional_var"
+ coords
+ " * "
+ str(wij),
)
msg_id = msg_id + 1
if var_loss is None:
var_loss = wij * conditional_var
else:
var_loss = var_loss + wij * conditional_var
return var_loss, msg_id
def call(self, x, **kwargs):
if not isinstance(x, list):
raise TypeError("Expected x to be a list")
msg_id = 0
first_item = x[0]
y_true = first_item[
:, (first_item.shape[1] - 1):(first_item.shape[1])
] # keep shape
if self.debug:
y_true = K.print_tensor(
y_true, message=str(msg_id).zfill(3) + " " + "y_true"
)
msg_id = msg_id + 1
last_item = x[len(x) - 1]
y_pred = last_item
# per-row cross-entropy or deviance/2 part of loss
eps = 1.0e-6
y_pred = K.maximum(y_pred, eps)
y_pred = K.minimum(y_pred, 1 - eps)
if self.debug:
y_pred = K.print_tensor(
y_pred, message=str(msg_id).zfill(3) + " " + "y_pred"
)
msg_id = msg_id + 1
loss = -safe_mult(y_true, K.log(y_pred)) - safe_mult(1 - y_true, K.log(1 - y_pred))
if self.debug:
loss = K.print_tensor(
loss, message=str(msg_id).zfill(3) + " " + "entropy loss"
)
msg_id = msg_id + 1
# conditional clustered action/variation on activation
var_loss, msg_id = self.compute_variational_loss(
x=x, y_true=y_true, msg_id=msg_id
)
if var_loss is not None:
if self.debug:
var_loss = K.print_tensor(
var_loss, message=str(msg_id).zfill(3) + " " + "variational loss"
)
msg_id = msg_id + 1
loss = loss + var_loss
if self.debug:
loss = K.print_tensor(
loss, message=str(msg_id).zfill(3) + " " + "final squared loss"
)
msg_id = msg_id + 1
loss = K.sqrt(loss)
if self.debug:
loss = K.print_tensor(
loss, message=str(msg_id).zfill(3) + " " + "final loss"
)
# noinspection PyUnusedLocal
msg_id = msg_id + 1
return loss
def compute_output_shape(self, input_shape):
if not isinstance(input_shape, list):
raise TypeError("Expected x to be a list")
last_shape = input_shape[len(input_shape) - 1]
return last_shape
| [
"[email protected]"
] | |
e258490c9c96a24d1455e651209ea0988d282c37 | 83f2c9c26a79fdb2d6dd47218484e06875ccdb77 | /rpca.py | 3b733283c7cb1ac83b215bfd6a464454110d5b53 | [] | no_license | zuoshifan/rpca_HI | 4fe7a0c76326b57489a719583e2c8f13d07c363c | f94060ba3adbce5971eb4440bd7867240ebd088d | refs/heads/master | 2021-01-21T10:14:01.521672 | 2017-05-12T06:51:17 | 2017-05-12T06:51:17 | 83,398,581 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,195 | py | import math
import numpy.linalg
def robust_pca(M):
"""
Decompose a matrix into low rank and sparse components.
Computes the RPCA decomposition using Alternating Lagrangian Multipliers.
Returns L,S the low rank and sparse components respectively
"""
L = numpy.zeros(M.shape)
S = numpy.zeros(M.shape)
Y = numpy.zeros(M.shape)
print M.shape
mu = (M.shape[0] * M.shape[1]) / (4.0 * L1Norm(M))
lamb = max(M.shape) ** -0.5
while not converged(M,L,S):
L = svd_shrink(M - S - (mu**-1) * Y, mu)
S = shrink(M - L + (mu**-1) * Y, lamb * mu)
Y = Y + mu * (M - L - S)
return L,S
def svd_shrink(X, tau):
"""
Apply the shrinkage operator to the singular values obtained from the SVD of X.
The parameter tau is used as the scaling parameter to the shrink function.
Returns the matrix obtained by computing U * shrink(s) * V where
U are the left singular vectors of X
V are the right singular vectors of X
s are the singular values as a diagonal matrix
"""
U,s,V = numpy.linalg.svd(X, full_matrices=False)
return numpy.dot(U, numpy.dot(numpy.diag(shrink(s, tau)), V))
def shrink(X, tau):
"""
Apply the shrinkage operator the the elements of X.
Returns V such that V[i,j] = max(abs(X[i,j]) - tau,0).
"""
V = numpy.copy(X).reshape(X.size)
for i in xrange(V.size):
V[i] = math.copysign(max(abs(V[i]) - tau, 0), V[i])
if V[i] == -0:
V[i] = 0
return V.reshape(X.shape)
def frobeniusNorm(X):
"""
Evaluate the Frobenius norm of X
Returns sqrt(sum_i sum_j X[i,j] ^ 2)
"""
accum = 0
V = numpy.reshape(X,X.size)
for i in xrange(V.size):
accum += abs(V[i] ** 2)
return math.sqrt(accum)
def L1Norm(X):
"""
Evaluate the L1 norm of X
Returns the max over the sum of each column of X
"""
return max(numpy.sum(X,axis=0))
def converged(M,L,S):
"""
A simple test of convergence based on accuracy of matrix reconstruction
from sparse and low rank parts
"""
error = frobeniusNorm(M - L - S) / frobeniusNorm(M)
print "error =", error
return error <= 10e-6 | [
"[email protected]"
] | |
5ef1e7f10dc123b57434e69de06b120e3e884c89 | 88ed6ed99589f7fb8e49aeb6c15bf0d51fe14a01 | /004_medianOfTwoSortedArrays.py | f50d1fe4f60aca33c8dc8105b02120ac6779206e | [] | no_license | ryeLearnMore/LeetCode | 3e97becb06ca2cf4ec15c43f77447b6ac2a061c6 | 04ec1eb720474a87a2995938743f05e7ad5e66e3 | refs/heads/master | 2020-04-07T19:02:43.171691 | 2019-06-23T15:09:19 | 2019-06-23T15:09:19 | 158,634,176 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,215 | py | #-*-coding:utf-8-*-
__author__ = 'Rye'
'''
There are two sorted arrays nums1 and nums2 of size m and n respectively.
Find the median of the two sorted arrays. The overall run time complexity should be O(log (m+n)).
You may assume nums1 and nums2 cannot be both empty.
Example 1:
nums1 = [1, 3]
nums2 = [2]
The median is 2.0
Example 2:
nums1 = [1, 2]
nums2 = [3, 4]
The median is (2 + 3)/2 = 2.5
'''
# 正确写法，需要多次学习
# https://github.com/apachecn/awesome-algorithm/blob/master/docs/Leetcode_Solutions/Python/004._median_of_two_sorted_arrays.md
class Solution:
def findMedianSortedArrays(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: float
"""
def findKth(A, B, k):
if len(A) == 0:
return B[k - 1]
if len(B) == 0:
return A[k - 1]
if k == 1:
return min(A[0], B[0])
a = A[k // 2 - 1] if len(A) >= k // 2 else None
b = B[k // 2 - 1] if len(B) >= k // 2 else None
if b is None or (a is not None and a < b):
return findKth(A[k // 2:], B, k - k // 2)
return findKth(A, B[k // 2:], k - k // 2)
num = len(nums1) + len(nums2)
if num % 2 == 1:
return self.findKth(nums1, nums2, num // 2 + 1)
else:
smaller = self.findKth(nums1, nums2, num // 2)
larger = self.findKth(nums1, nums2, num // 2 + 1)
return (smaller + larger) / 2.0
# 自己写的，侥幸也能通过，不过时间复杂度不对
class Solution1:
def findMedianSortedArrays(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: float
"""
num = sorted(nums1 + nums2)
if len(num) % 2 == 1:
result = (len(num) - 1) / 2
# print(result)
return num[int(result)]
else:
result1 = int(len(num) / 2)
result2 = result1 - 1
result = (num[int(result1)] + num[int(result2)]) / 2
return result | [
"[email protected]"
] | |
38d58c1a1117d022b2d55be2c9392e708dbeb924 | 583d03a6337df9f1e28f4ef6208491cf5fb18136 | /dev4qx/purus-repo/tasks/sync_task.py | b8d89d4424113bbe84c0b939794fb5b17b43eabb | [] | no_license | lescpsn/lescpsn | ece4362a328f009931c9e4980f150d93c4916b32 | ef83523ea1618b7e543553edd480389741e54bc4 | refs/heads/master | 2020-04-03T14:02:06.590299 | 2018-11-01T03:00:17 | 2018-11-01T03:00:17 | 155,309,223 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,148 | py | # encoding: utf-8
import logging
import tornado.gen
import tornado.ioloop
from sqlalchemy.orm import sessionmaker
import core
request_log = logging.getLogger("purus.request")
class SyncTask(tornado.ioloop.PeriodicCallback):
def __init__(self, application, callback_time):
super(SyncTask, self).__init__(self.do_sync, callback_time)
self.application = application
self.master = self.application.sentinel.master_for('madeira')
self.in_sync = False
def session(self, name):
if name in self.application.engine:
engine = self.application.engine[name]
return sessionmaker(bind=engine)()
return None
@tornado.gen.coroutine
def do_sync(self):
if self.in_sync:
return
if self.master.exists('flag:task'):
request_log.info('STOP FLAG FOUND!')
return
if not self.master.exists('list:sync:pricing'):
return
session = self.session('repo')
try:
self.in_sync = True
sync_list = []
full_sync_set = set()
line = self.master.lpop('list:sync:pricing')
while line:
request_log.info('SYNC LINE {%s}', line)
domain_id, product_id, user_id = line.split(',')
if product_id == '' and user_id == '':
full_sync_set.add(domain_id)
sync_list.append((domain_id, product_id, user_id))
line = self.master.lpop('list:sync:pricing')
# TODO: merge same, remove
for domain_id in full_sync_set:
request_log.info('SYNC FULL DOMAIN {%s}', domain_id)
sync_list = list(filter(lambda x: x[0] != domain_id, sync_list))
sync_list.append((domain_id, '', ''))
for domain_id, product_id, user_id in sync_list:
yield core.sync_pricing(session, domain_id, filter_product=product_id, filter_user=user_id)
except:
request_log.exception('SYNC FAIL')
finally:
self.in_sync = False
session.close()
| [
"[email protected]"
] | |
10f15096eff2605cc1b6f34cae9b10d7dbd66012 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/3/usersdata/138/733/submittedfiles/ex1.py | 1e83a25bea9a34b44af82f240fef204ac4552b94 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 288 | py | # -*- coding: utf-8 -*-
from __future__ import division
a = input('digite o valor de a:')
b = input('digite o valor de b:')
c = input('digite o valor de c:')
delta = (b**2)-(4*a*c)
x1 = (-b+(delta)**(1/2))/(2*a)
x2 = (-b-(delta)**(1/2))/(2*a)
print('valor de x1')
print('valor de x2')
| [
"[email protected]"
] | |
e1f5e6d3be9a072b2c8c54a7db8c2b69ee601459 | b60849c71c644b488a9777edd9809883cbaff884 | /stringsync/sync.py | ba9ca155174cc1b6c88aba0402ca29118333c4b1 | [
"Apache-2.0"
] | permissive | dev-junior/strings-datasync | ded0183a9bea5a715555c4b55ce1ea3ecf2ba6c7 | 858a0d97687dfc42e0010b25718e2b17084e75fb | refs/heads/master | 2020-03-21T02:53:51.338210 | 2015-10-05T22:41:35 | 2015-10-05T22:41:35 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,211 | py | from StringIO import StringIO
import sys
from stringsync.mysql2ldif import mysql2ldif, organization_dn
from stringsync.ldif_dumper import dump_tree_sorted
from stringsync import db
from stringsync.ldiff import ldiff_and_apply, ldiff_to_ldif
def _sync_db_to_ldap(organization_id, db_server, ldap_server, dry_run):
base_domain = organization_dn(organization_id, db_server)
if not base_domain:
raise Exception("Couldn't get a base dn for org %s, refusing to continue"
% organization_id)
new_ldif = StringIO()
mysql2ldif(organization_id, db_server, new_ldif)
new_ldif.seek(0)
cur_ldif = StringIO()
dump_tree_sorted(ldap_server, base_domain, cur_ldif)
cur_ldif.seek(0)
if not dry_run:
ldiff_and_apply(cur_ldif, new_ldif, ldap_server)
else:
ldiff_to_ldif(cur_ldif, new_ldif, dry_run)
def sync_from_config(db_server, ldap_server, organization_id, dry_run=None):
"""
If dry_run is non-None, it is considered a file in which to put
the ldif, and no changes will be applied to the ldap server
itself.
"""
_sync_db_to_ldap(organization_id, db_server, ldap_server,
dry_run=dry_run)
| [
"[email protected]"
] | |
5d9fa9cd1b5f06a381cee08c729581e92b5e5ed0 | e23a4f57ce5474d468258e5e63b9e23fb6011188 | /125_algorithms/_exercises/templates/_algorithms_challenges/pybites/advanced/93_v3/rps.py | 6390079246a910365c6f43a18f17e098926b1800 | [] | no_license | syurskyi/Python_Topics | 52851ecce000cb751a3b986408efe32f0b4c0835 | be331826b490b73f0a176e6abed86ef68ff2dd2b | refs/heads/master | 2023-06-08T19:29:16.214395 | 2023-05-29T17:09:11 | 2023-05-29T17:09:11 | 220,583,118 | 3 | 2 | null | 2023-02-16T03:08:10 | 2019-11-09T02:58:47 | Python | UTF-8 | Python | false | false | 1,078 | py | # ____ r__ _______ c..
#
# defeated_by d.. paper_ scissors
# rock_ paper
# scissors_ rock
# lose '@ beats @, you lose!'
# win '@ beats @, you win!'
# tie 'tie!'
#
# c.. ?.v..
#
# ___ _get_computer_move
# """Randomly select a move"""
# r.. c.. c..
#
#
# ___ _get_winner computer_choice player_choice
# """Return above lose/win/tie strings populated with the
# appropriate values (computer vs player)"""
# __ ? n.. __ c..
# r.. 'Invalid choice'
# __ ? __ ?
# r.. t..
# __ ? __ d.. c..
# r.. w__.f.. ? ?
# ____
# r.. l__.f.. ? ?
#
#
# ___ game
# """Game loop, receive player's choice via the generator's
# send method and get a random move from computer (_get_computer_move).
# Raise a StopIteration exception if user value received = 'q'.
# Check who wins with _get_winner and print its return output."""
# w... T...
# player_choice y.. ''
# __ ? __ 'q'
# r.. S..
# computer_choice _g..
# print _? ? ?
| [
"[email protected]"
] | |
72dd61a158c302f6c81f7b839bd22510c5704f18 | 9bbc76b0d31fb550392eb387aab54862576c3e6d | /0x08-python-more_classes/6-rectangle.py | df22ebe5faae5a083f60627a756b6e2e54646874 | [] | no_license | Jesus-Acevedo-Cano/holbertonschool-higher_level_programming | 39c6e99f6368dba61c8668ffac41ea2257910366 | ad28e8f296d4c226e1c0d571e476fedb3755fde5 | refs/heads/master | 2020-09-29T03:20:19.770661 | 2020-05-15T03:50:10 | 2020-05-15T03:50:10 | 226,937,476 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,391 | py | #!/usr/bin/python3
class Rectangle():
"""class named Rectangle"""
number_of_instances = 0
def __init__(self, width=0, height=0):
"""Initialization of instance attributes
Args:
width (int): width of rectangle
height (int): rectangle height
"""
self.width = width
self.height = height
Rectangle.number_of_instances += 1
@property
def width(self):
"""getter fun"""
return self.__width
@width.setter
def width(self, value):
"""setter function
value: new value to set
"""
if not isinstance(value, int):
raise TypeError("width must be an integer")
if value < 0:
raise ValueError("width must be >= 0")
self.__width = value
@property
def height(self):
"""getter fun"""
return self.__height
@height.setter
def height(self, value):
"""setter function
value: new value to set
"""
if not isinstance(value, int):
raise TypeError("height must be an integer")
if value < 0:
raise ValueError("height must be >= 0")
self.__height = value
def area(self):
"""func to calculate the area
Return: area of square
"""
return self.__width * self.__height
def perimeter(self):
"""func to calculate the area
Return: perimeter of square
"""
if (self.__width == 0) or (self.__height == 0):
return 0
else:
return (self.__width + self.__height) * 2
def __str__(self):
""" returning the string representation of the rectangle """
rectangle = ""
if self.height == 0 or self.width == 0:
return rectangle
for i in range(self.__height):
rectangle += "#" * self.__width
if i + 1 != self.__height:
rectangle += "\n"
return rectangle
def __repr__(self):
""" return a string representation of the rectangle """
rep = "{}({}, {})".format(self.__class__.__name__,
self.width, self.height)
return rep
def __del__(self):
"""prints msg when instance is deleted"""
print("Bye rectangle...")
Rectangle.number_of_instances -= 1
| [
"[email protected]"
] | |
3d61667e3088b1f1b05106dc5648b7aaf4002b91 | e574bfa1acf6ae4662775e0a1dfa22c6ce751cda | /tests/test_types.py | fe2e949778da128c17786d463a9d0a7d2a111d6e | [
"MIT"
] | permissive | shuric80/aioalice | 6ef4193cf9c27c1c1692c5d11a95583119ea3214 | e04b122b73ee139b42e13d28e4a5434c4c393bcc | refs/heads/master | 2020-03-23T20:06:02.678810 | 2018-07-11T18:59:36 | 2018-07-11T19:00:15 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,390 | py | import unittest
from aioalice import types
class TestAliceTypes(unittest.TestCase):
def _test_meta(self, meta, dct):
self.assertEqual(meta.locale, dct['locale'])
self.assertEqual(meta.timezone, dct['timezone'])
self.assertEqual(meta.client_id, dct['client_id'])
def test_meta(self):
meta_json = {
"locale": "ru-RU",
"timezone": "Europe/Moscow",
"client_id": "ru.yandex.searchplugin/5.80 (Samsung Galaxy; Android 4.4)"
}
meta = types.Meta(**meta_json)
self._test_meta(meta, meta_json)
def _test_markup(self, markup, dct):
self.assertEqual(markup.dangerous_context, dct['dangerous_context'])
def test_markup(self):
markup_json = {
"dangerous_context": True
}
markup = types.Markup(**markup_json)
self._test_markup(markup, markup_json)
def _test_request(self, req, dct):
self.assertEqual(req.command, dct['command'])
self.assertEqual(req.original_utterance, dct['original_utterance'])
self.assertEqual(req.type, dct['type'])
self._test_markup(req.markup, dct['markup'])
self.assertEqual(req.payload, dct['payload'])
def test_request(self):
request_json = {
"command": "где поесть",
"original_utterance": "Алиса где поесть",
"type": "SimpleUtterance",
"markup": {
"dangerous_context": True
},
"payload": {}
}
request = types.Request(**request_json)
self._test_request(request, request_json)
def _test_base_session(self, bs, dct):
self.assertEqual(bs.user_id, dct['user_id'])
self.assertEqual(bs.message_id, dct['message_id'])
self.assertEqual(bs.session_id, dct['session_id'])
def test_base_session(self):
base_session_json = {
"message_id": 4,
"session_id": "2eac4854-fce721f3-b845abba-20d60",
"user_id": "AC9WC3DF6FCE052E45A4566A48E6B7193774B84814CE49A922E163B8B29881DC"
}
base_session = types.BaseSession(**base_session_json)
self._test_base_session(base_session, base_session_json)
def _test_session(self, sess, dct):
self.assertEqual(sess.new, dct['new'])
self.assertEqual(sess.skill_id, dct['skill_id'])
self._test_base_session(sess, dct)
def test_session(self):
session_json = {
"new": True,
"message_id": 4,
"session_id": "2eac4854-fce721f3-b845abba-20d60",
"skill_id": "3ad36498-f5rd-4079-a14b-788652932056",
"user_id": "AC9WC3DF6FCE052E45A4566A48E6B7193774B84814CE49A922E163B8B29881DC"
}
session = types.Session(**session_json)
self._test_session(session, session_json)
def _test_button(self, btn, title, url=None, payload=None, hide=True):
self.assertEqual(btn.title, title)
self.assertEqual(btn.url, url)
self.assertEqual(btn.payload, payload)
self.assertEqual(btn.hide, hide)
def _tst_buttons(self, btn, dct):
self._test_button(
btn,
dct.get('title'),
dct.get('url'),
dct.get('payload'),
dct.get('hide')
)
def test_buttons(self):
title = 'Title'
btn1 = types.Button(title)
self._test_button(btn1, title)
btn2 = types.Button(title, url='yandex.ru')
self._test_button(btn2, title, 'yandex.ru')
btn3 = types.Button(title, payload={'key': 'value'})
self._test_button(btn3, title, payload={'key': 'value'})
btn4 = types.Button(title, payload={'json': {'key': 'value'}}, hide=False)
self._test_button(btn4, title, payload={'json': {'key': 'value'}}, hide=False)
btn5 = types.Button(title, url='github.com', payload={'json': {'key': 'value'}}, hide=False)
self._test_button(btn5, title, url='github.com', payload={'json': {'key': 'value'}}, hide=False)
def _test_response(self, resp, dct):
self.assertEqual(resp.text, dct['text'])
self.assertEqual(resp.tts, dct['tts'])
self.assertEqual(resp.end_session, dct['end_session'])
if resp.buttons is not None:
for btn, btn_dct in zip(resp.buttons, dct['buttons']):
self._tst_buttons(btn, btn_dct)
def test_response(self):
response_json = {
"text": "Здравствуйте! Это мы, хороводоведы.",
"tts": "Здравствуйте! Это мы, хоров+одо в+еды.",
"buttons": [
{
"title": "Надпись на кнопке",
"payload": {},
"url": "https://responseexample.com/",
"hide": True
}
],
"end_session": False
}
response = types.Response(**response_json)
self._test_response(response, response_json)
resp_text = 'Response Text'
response = types.Response(resp_text, buttons=['Hi!'])
self.assertEqual(
response.to_json(),
{
'text': resp_text,
'tts': None,
'buttons': [
{
'title': 'Hi!',
'url': None,
'payload': None,
'hide': True
}
],
'end_session': False
}
)
def _test_alice_request(self, arq, dct):
self.assertEqual(arq.version, dct['version'])
self._test_session(arq.session, dct['session'])
self._test_request(arq.request, dct['request'])
self._test_meta(arq.meta, dct['meta'])
def test_alice_request(self):
alice_request_json = {
"meta": {
"locale": "ru-RU",
"timezone": "Europe/Moscow",
"client_id": "ru.yandex.searchplugin/5.80 (Samsung Galaxy; Android 4.4)"
},
"request": {
"command": "где ближайшее отделение",
"original_utterance": "Алиса спроси у Сбербанка где ближайшее отделение",
"type": "SimpleUtterance",
"markup": {
"dangerous_context": True
},
"payload": {}
},
"session": {
"new": True,
"message_id": 4,
"session_id": "2eac4854-fce721f3-b845abba-20d60",
"skill_id": "3ad36498-f5rd-4079-a14b-788652932056",
"user_id": "AC9WC3DF6FCE052E45A4566A48E6B7193774B84814CE49A922E163B8B29881DC"
},
"version": "1.0"
}
alice_request = types.AliceRequest(**alice_request_json)
self.assertEqual(alice_request.to_json(), alice_request_json)
self._test_alice_request(alice_request, alice_request_json)
def _test_alice_response(self, arp, dct):
self.assertEqual(arp.version, dct['version'])
def test_alice_response(self):
alice_response_json = {
"response": {
"text": "Здравствуйте! Это мы, хороводоведы.",
"tts": "Здравствуйте! Это мы, хоров+одо в+еды.",
"end_session": False
},
"session": {
"session_id": "2eac4854-fce721f3-b845abba-20d60",
"message_id": 4,
"user_id": "AC9WC3DF6FCE052E45A4566A48E6B7193774B84814CE49A922E163B8B29881DC"
},
"version": "1.0"
}
alice_response = types.AliceResponse(**alice_response_json)
self._test_alice_response(alice_response, alice_response_json)
alice_response_json["response"]["buttons"] = [
{
"title": "Надпись на кнопке",
"payload": {},
"url": "https://example.com/",
"hide": True
},
{
"title": "Надпись на кнопке1",
"payload": {'key': 'value'},
"url": "https://ya.com/",
"hide": False
},
]
alice_response = types.AliceResponse(**alice_response_json)
self.assertEqual(alice_response.to_json(), alice_response_json)
self._test_alice_response(alice_response, alice_response_json)
def test_response_from_request(self):
alice_request_json = {
"meta": {
"locale": "ru-RU",
"timezone": "Europe/Moscow",
"client_id": "ru.yandex.searchplugin/5.80 (Samsung Galaxy; Android 4.4)"
},
"request": {
"command": "где ближайшее отделение",
"original_utterance": "Алиса спроси у Сбербанка где ближайшее отделение",
"type": "SimpleUtterance",
"markup": {
"dangerous_context": True
},
"payload": None
},
"session": {
"new": True,
"message_id": 4,
"session_id": "2eac4854-fce721f3-b845abba-20d60",
"skill_id": "3ad36498-f5rd-4079-a14b-788652932056",
"user_id": "AC9WC3DF6FCE052E45A4566A48E6B7193774B84814CE49A922E163B8B29881DC"
},
"version": "1.0"
}
alice_request = types.AliceRequest(**alice_request_json)
resp_text = 'Здравствуйте! Это мы, хороводоведы.'
alice_response = alice_request.response(resp_text)
expected_response = {
"response": {
"text": resp_text,
'tts': None,
'buttons': None,
"end_session": False
},
"session": {
"session_id": "2eac4854-fce721f3-b845abba-20d60",
"message_id": 4,
"user_id": "AC9WC3DF6FCE052E45A4566A48E6B7193774B84814CE49A922E163B8B29881DC"
},
"version": "1.0"
}
self.assertEqual(alice_response.to_json(), expected_response)
new_tts = "Здравствуйте! Это мы, хоров+одо в+еды."
btn_title = "Надпись на кнопке"
btn_url = "https://example.com/"
new_btn = types.Button(btn_title, url=btn_url)
expected_response["response"].update({
"tts": new_tts,
"buttons": [
{
"title": btn_title,
"payload": None,
"url": btn_url,
"hide": True
}
],
})
alice_response.response.tts = new_tts
alice_response.response.buttons = [new_btn]
self.assertEqual(alice_response.to_json(), expected_response)
alice_response = alice_request.response(resp_text, tts=new_tts, buttons=[new_btn])
self.assertEqual(alice_response.to_json(), expected_response)
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
540f489a9e94d400b3027d85897af712b39ac85f | 9e549ee54faa8b037f90eac8ecb36f853e460e5e | /venv/lib/python3.6/site-packages/future/backports/http/cookies.py | 063ed995ba4a12e6bce07a142806bd886a9751cd | [
"MIT"
] | permissive | aitoehigie/britecore_flask | e8df68e71dd0eac980a7de8c0f20b5a5a16979fe | eef1873dbe6b2cc21f770bc6dec783007ae4493b | refs/heads/master | 2022-12-09T22:07:45.930238 | 2019-05-15T04:10:37 | 2019-05-15T04:10:37 | 177,354,667 | 0 | 0 | MIT | 2022-12-08T04:54:09 | 2019-03-24T00:38:20 | Python | UTF-8 | Python | false | false | 21,705 | py | ####
# Copyright 2000 by Timothy O'Malley <[email protected]>
#
# All Rights Reserved
#
# Permission to use, copy, modify, and distribute this software
# and its documentation for any purpose and without fee is hereby
# granted, provided that the above copyright notice appear in all
# copies and that both that copyright notice and this permission
# notice appear in supporting documentation, and that the name of
# Timothy O'Malley not be used in advertising or publicity
# pertaining to distribution of the software without specific, written
# prior permission.
#
# Timothy O'Malley DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
# SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
# AND FITNESS, IN NO EVENT SHALL Timothy O'Malley BE LIABLE FOR
# ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
# WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
# WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
# ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
# PERFORMANCE OF THIS SOFTWARE.
#
####
#
# Id: Cookie.py,v 2.29 2000/08/23 05:28:49 timo Exp
# by Timothy O'Malley <[email protected]>
#
# Cookie.py is a Python module for the handling of HTTP
# cookies as a Python dictionary. See RFC 2109 for more
# information on cookies.
#
# The original idea to treat Cookies as a dictionary came from
# Dave Mitchell ([email protected]) in 1995, when he released the
# first version of nscookie.py.
#
####
r"""
http.cookies module ported to python-future from Py3.3
Here's a sample session to show how to use this module.
At the moment, this is the only documentation.
The Basics
----------
Importing is easy...
>>> from http import cookies
Most of the time you start by creating a cookie.
>>> C = cookies.SimpleCookie()
Once you've created your Cookie, you can add values just as if it were
a dictionary.
>>> C = cookies.SimpleCookie()
>>> C["fig"] = "newton"
>>> C["sugar"] = "wafer"
>>> C.output()
'Set-Cookie: fig=newton\r\nSet-Cookie: sugar=wafer'
Notice that the printable representation of a Cookie is the
appropriate format for a Set-Cookie: header. This is the
default behavior. You can change the header and printed
attributes by using the .output() function
>>> C = cookies.SimpleCookie()
>>> C["rocky"] = "road"
>>> C["rocky"]["path"] = "/cookie"
>>> print(C.output(header="Cookie:"))
Cookie: rocky=road; Path=/cookie
>>> print(C.output(attrs=[], header="Cookie:"))
Cookie: rocky=road
The load() method of a Cookie extracts cookies from a string. In a
CGI script, you would use this method to extract the cookies from the
HTTP_COOKIE environment variable.
>>> C = cookies.SimpleCookie()
>>> C.load("chips=ahoy; vienna=finger")
>>> C.output()
'Set-Cookie: chips=ahoy\r\nSet-Cookie: vienna=finger'
The load() method is darn-tootin smart about identifying cookies
within a string. Escaped quotation marks, nested semicolons, and other
such trickeries do not confuse it.
>>> C = cookies.SimpleCookie()
>>> C.load('keebler="E=everybody; L=\\"Loves\\"; fudge=\\012;";')
>>> print(C)
Set-Cookie: keebler="E=everybody; L=\"Loves\"; fudge=\012;"
Each element of the Cookie also supports all of the RFC 2109
Cookie attributes. Here's an example which sets the Path
attribute.
>>> C = cookies.SimpleCookie()
>>> C["oreo"] = "doublestuff"
>>> C["oreo"]["path"] = "/"
>>> print(C)
Set-Cookie: oreo=doublestuff; Path=/
Each dictionary element has a 'value' attribute, which gives you
back the value associated with the key.
>>> C = cookies.SimpleCookie()
>>> C["twix"] = "none for you"
>>> C["twix"].value
'none for you'
The SimpleCookie expects that all values should be standard strings.
Just to be sure, SimpleCookie invokes the str() builtin to convert
the value to a string, when the values are set dictionary-style.
>>> C = cookies.SimpleCookie()
>>> C["number"] = 7
>>> C["string"] = "seven"
>>> C["number"].value
'7'
>>> C["string"].value
'seven'
>>> C.output()
'Set-Cookie: number=7\r\nSet-Cookie: string=seven'
Finis.
"""
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future.builtins import chr, dict, int, str
from future.utils import PY2, as_native_str
#
# Import our required modules
#
import re
re.ASCII = 0 # for py2 compatibility
import string
__all__ = ["CookieError", "BaseCookie", "SimpleCookie"]
_nulljoin = "".join
_semispacejoin = "; ".join
_spacejoin = " ".join
#
# Define an exception visible to External modules
#
class CookieError(Exception):
pass
# These quoting routines conform to the RFC2109 specification, which in
# turn references the character definitions from RFC2068. They provide
# a two-way quoting algorithm. Any non-text character is translated
# into a 4 character sequence: a forward-slash followed by the
# three-digit octal equivalent of the character. Any '\' or '"' is
# quoted with a preceeding '\' slash.
#
# These are taken from RFC2068 and RFC2109.
# _LegalChars is the list of chars which don't require "'s
# _Translator hash-table for fast quoting
#
_LegalChars = string.ascii_letters + string.digits + "!#$%&'*+-.^_`|~:"
_Translator = {
"\000": "\\000",
"\001": "\\001",
"\002": "\\002",
"\003": "\\003",
"\004": "\\004",
"\005": "\\005",
"\006": "\\006",
"\007": "\\007",
"\010": "\\010",
"\011": "\\011",
"\012": "\\012",
"\013": "\\013",
"\014": "\\014",
"\015": "\\015",
"\016": "\\016",
"\017": "\\017",
"\020": "\\020",
"\021": "\\021",
"\022": "\\022",
"\023": "\\023",
"\024": "\\024",
"\025": "\\025",
"\026": "\\026",
"\027": "\\027",
"\030": "\\030",
"\031": "\\031",
"\032": "\\032",
"\033": "\\033",
"\034": "\\034",
"\035": "\\035",
"\036": "\\036",
"\037": "\\037",
# Because of the way browsers really handle cookies (as opposed
# to what the RFC says) we also encode , and ;
",": "\\054",
";": "\\073",
'"': '\\"',
"\\": "\\\\",
"\177": "\\177",
"\200": "\\200",
"\201": "\\201",
"\202": "\\202",
"\203": "\\203",
"\204": "\\204",
"\205": "\\205",
"\206": "\\206",
"\207": "\\207",
"\210": "\\210",
"\211": "\\211",
"\212": "\\212",
"\213": "\\213",
"\214": "\\214",
"\215": "\\215",
"\216": "\\216",
"\217": "\\217",
"\220": "\\220",
"\221": "\\221",
"\222": "\\222",
"\223": "\\223",
"\224": "\\224",
"\225": "\\225",
"\226": "\\226",
"\227": "\\227",
"\230": "\\230",
"\231": "\\231",
"\232": "\\232",
"\233": "\\233",
"\234": "\\234",
"\235": "\\235",
"\236": "\\236",
"\237": "\\237",
"\240": "\\240",
"\241": "\\241",
"\242": "\\242",
"\243": "\\243",
"\244": "\\244",
"\245": "\\245",
"\246": "\\246",
"\247": "\\247",
"\250": "\\250",
"\251": "\\251",
"\252": "\\252",
"\253": "\\253",
"\254": "\\254",
"\255": "\\255",
"\256": "\\256",
"\257": "\\257",
"\260": "\\260",
"\261": "\\261",
"\262": "\\262",
"\263": "\\263",
"\264": "\\264",
"\265": "\\265",
"\266": "\\266",
"\267": "\\267",
"\270": "\\270",
"\271": "\\271",
"\272": "\\272",
"\273": "\\273",
"\274": "\\274",
"\275": "\\275",
"\276": "\\276",
"\277": "\\277",
"\300": "\\300",
"\301": "\\301",
"\302": "\\302",
"\303": "\\303",
"\304": "\\304",
"\305": "\\305",
"\306": "\\306",
"\307": "\\307",
"\310": "\\310",
"\311": "\\311",
"\312": "\\312",
"\313": "\\313",
"\314": "\\314",
"\315": "\\315",
"\316": "\\316",
"\317": "\\317",
"\320": "\\320",
"\321": "\\321",
"\322": "\\322",
"\323": "\\323",
"\324": "\\324",
"\325": "\\325",
"\326": "\\326",
"\327": "\\327",
"\330": "\\330",
"\331": "\\331",
"\332": "\\332",
"\333": "\\333",
"\334": "\\334",
"\335": "\\335",
"\336": "\\336",
"\337": "\\337",
"\340": "\\340",
"\341": "\\341",
"\342": "\\342",
"\343": "\\343",
"\344": "\\344",
"\345": "\\345",
"\346": "\\346",
"\347": "\\347",
"\350": "\\350",
"\351": "\\351",
"\352": "\\352",
"\353": "\\353",
"\354": "\\354",
"\355": "\\355",
"\356": "\\356",
"\357": "\\357",
"\360": "\\360",
"\361": "\\361",
"\362": "\\362",
"\363": "\\363",
"\364": "\\364",
"\365": "\\365",
"\366": "\\366",
"\367": "\\367",
"\370": "\\370",
"\371": "\\371",
"\372": "\\372",
"\373": "\\373",
"\374": "\\374",
"\375": "\\375",
"\376": "\\376",
"\377": "\\377",
}
def _quote(str, LegalChars=_LegalChars):
r"""Quote a string for use in a cookie header.
If the string does not need to be double-quoted, then just return the
string. Otherwise, surround the string in doublequotes and quote
(with a \) special characters.
"""
if all(c in LegalChars for c in str):
return str
else:
return '"' + _nulljoin(_Translator.get(s, s) for s in str) + '"'
_OctalPatt = re.compile(r"\\[0-3][0-7][0-7]")
_QuotePatt = re.compile(r"[\\].")
def _unquote(mystr):
# If there aren't any doublequotes,
# then there can't be any special characters. See RFC 2109.
if len(mystr) < 2:
return mystr
if mystr[0] != '"' or mystr[-1] != '"':
return mystr
# We have to assume that we must decode this string.
# Down to work.
# Remove the "s
mystr = mystr[1:-1]
# Check for special sequences. Examples:
# \012 --> \n
# \" --> "
#
i = 0
n = len(mystr)
res = []
while 0 <= i < n:
o_match = _OctalPatt.search(mystr, i)
q_match = _QuotePatt.search(mystr, i)
if not o_match and not q_match: # Neither matched
res.append(mystr[i:])
break
# else:
j = k = -1
if o_match:
j = o_match.start(0)
if q_match:
k = q_match.start(0)
if q_match and (not o_match or k < j): # QuotePatt matched
res.append(mystr[i:k])
res.append(mystr[k + 1])
i = k + 2
else: # OctalPatt matched
res.append(mystr[i:j])
res.append(chr(int(mystr[j + 1 : j + 4], 8)))
i = j + 4
return _nulljoin(res)
# The _getdate() routine is used to set the expiration time in the cookie's HTTP
# header. By default, _getdate() returns the current time in the appropriate
# "expires" format for a Set-Cookie header. The one optional argument is an
# offset from now, in seconds. For example, an offset of -3600 means "one hour
# ago". The offset may be a floating point number.
#
_weekdayname = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
_monthname = [
None,
"Jan",
"Feb",
"Mar",
"Apr",
"May",
"Jun",
"Jul",
"Aug",
"Sep",
"Oct",
"Nov",
"Dec",
]
def _getdate(future=0, weekdayname=_weekdayname, monthname=_monthname):
from time import gmtime, time
now = time()
year, month, day, hh, mm, ss, wd, y, z = gmtime(now + future)
return "%s, %02d %3s %4d %02d:%02d:%02d GMT" % (
weekdayname[wd],
day,
monthname[month],
year,
hh,
mm,
ss,
)
class Morsel(dict):
"""A class to hold ONE (key, value) pair.
In a cookie, each such pair may have several attributes, so this class is
used to keep the attributes associated with the appropriate key,value pair.
This class also includes a coded_value attribute, which is used to hold
the network representation of the value. This is most useful when Python
objects are pickled for network transit.
"""
# RFC 2109 lists these attributes as reserved:
# path comment domain
# max-age secure version
#
# For historical reasons, these attributes are also reserved:
# expires
#
# This is an extension from Microsoft:
# httponly
#
# This dictionary provides a mapping from the lowercase
# variant on the left to the appropriate traditional
# formatting on the right.
_reserved = {
"expires": "expires",
"path": "Path",
"comment": "Comment",
"domain": "Domain",
"max-age": "Max-Age",
"secure": "secure",
"httponly": "httponly",
"version": "Version",
}
_flags = set(["secure", "httponly"])
def __init__(self):
# Set defaults
self.key = self.value = self.coded_value = None
# Set default attributes
for key in self._reserved:
dict.__setitem__(self, key, "")
def __setitem__(self, K, V):
K = K.lower()
if not K in self._reserved:
raise CookieError("Invalid Attribute %s" % K)
dict.__setitem__(self, K, V)
def isReservedKey(self, K):
return K.lower() in self._reserved
def set(self, key, val, coded_val, LegalChars=_LegalChars):
# First we verify that the key isn't a reserved word
# Second we make sure it only contains legal characters
if key.lower() in self._reserved:
raise CookieError("Attempt to set a reserved key: %s" % key)
if any(c not in LegalChars for c in key):
raise CookieError("Illegal key value: %s" % key)
# It's a good key, so save it.
self.key = key
self.value = val
self.coded_value = coded_val
def output(self, attrs=None, header="Set-Cookie:"):
return "%s %s" % (header, self.OutputString(attrs))
__str__ = output
@as_native_str()
def __repr__(self):
if PY2 and isinstance(self.value, unicode):
val = str(self.value) # make it a newstr to remove the u prefix
else:
val = self.value
return "<%s: %s=%s>" % (self.__class__.__name__, str(self.key), repr(val))
def js_output(self, attrs=None):
# Print javascript
return """
<script type="text/javascript">
<!-- begin hiding
document.cookie = \"%s\";
// end hiding -->
</script>
""" % (
self.OutputString(attrs).replace('"', r"\"")
)
def OutputString(self, attrs=None):
# Build up our result
#
result = []
append = result.append
# First, the key=value pair
append("%s=%s" % (self.key, self.coded_value))
# Now add any defined attributes
if attrs is None:
attrs = self._reserved
items = sorted(self.items())
for key, value in items:
if value == "":
continue
if key not in attrs:
continue
if key == "expires" and isinstance(value, int):
append("%s=%s" % (self._reserved[key], _getdate(value)))
elif key == "max-age" and isinstance(value, int):
append("%s=%d" % (self._reserved[key], value))
elif key == "secure":
append(str(self._reserved[key]))
elif key == "httponly":
append(str(self._reserved[key]))
else:
append("%s=%s" % (self._reserved[key], value))
# Return the result
return _semispacejoin(result)
#
# Pattern for finding cookie
#
# This used to be strict parsing based on the RFC2109 and RFC2068
# specifications. I have since discovered that MSIE 3.0x doesn't
# follow the character rules outlined in those specs. As a
# result, the parsing rules here are less strict.
#
_LegalCharsPatt = r"[\w\d!#%&'~_`><@,:/\$\*\+\-\.\^\|\)\(\?\}\{\=]"
_CookiePattern = re.compile(
r"""
(?x) # This is a verbose pattern
(?P<key> # Start of group 'key'
"""
+ _LegalCharsPatt
+ r"""+? # Any word of at least one letter
) # End of group 'key'
( # Optional group: there may not be a value.
\s*=\s* # Equal Sign
(?P<val> # Start of group 'val'
"(?:[^\\"]|\\.)*" # Any doublequoted string
| # or
\w{3},\s[\w\d\s-]{9,11}\s[\d:]{8}\sGMT # Special case for "expires" attr
| # or
"""
+ _LegalCharsPatt
+ r"""* # Any word or empty string
) # End of group 'val'
)? # End of optional value group
\s* # Any number of spaces.
(\s+|;|$) # Ending either at space, semicolon, or EOS.
""",
re.ASCII,
) # May be removed if safe.
# At long last, here is the cookie class. Using this class is almost just like
# using a dictionary. See this module's docstring for example usage.
#
class BaseCookie(dict):
"""A container class for a set of Morsels."""
def value_decode(self, val):
"""real_value, coded_value = value_decode(STRING)
Called prior to setting a cookie's value from the network
representation. The VALUE is the value read from HTTP
header.
Override this function to modify the behavior of cookies.
"""
return val, val
def value_encode(self, val):
"""real_value, coded_value = value_encode(VALUE)
Called prior to setting a cookie's value from the dictionary
representation. The VALUE is the value being assigned.
Override this function to modify the behavior of cookies.
"""
strval = str(val)
return strval, strval
def __init__(self, input=None):
if input:
self.load(input)
def __set(self, key, real_value, coded_value):
"""Private method for setting a cookie's value"""
M = self.get(key, Morsel())
M.set(key, real_value, coded_value)
dict.__setitem__(self, key, M)
def __setitem__(self, key, value):
"""Dictionary style assignment."""
rval, cval = self.value_encode(value)
self.__set(key, rval, cval)
def output(self, attrs=None, header="Set-Cookie:", sep="\015\012"):
"""Return a string suitable for HTTP."""
result = []
items = sorted(self.items())
for key, value in items:
result.append(value.output(attrs, header))
return sep.join(result)
__str__ = output
@as_native_str()
def __repr__(self):
l = []
items = sorted(self.items())
for key, value in items:
if PY2 and isinstance(value.value, unicode):
val = str(value.value) # make it a newstr to remove the u prefix
else:
val = value.value
l.append("%s=%s" % (str(key), repr(val)))
return "<%s: %s>" % (self.__class__.__name__, _spacejoin(l))
def js_output(self, attrs=None):
"""Return a string suitable for JavaScript."""
result = []
items = sorted(self.items())
for key, value in items:
result.append(value.js_output(attrs))
return _nulljoin(result)
def load(self, rawdata):
"""Load cookies from a string (presumably HTTP_COOKIE) or
from a dictionary. Loading cookies from a dictionary 'd'
is equivalent to calling:
map(Cookie.__setitem__, d.keys(), d.values())
"""
if isinstance(rawdata, str):
self.__parse_string(rawdata)
else:
# self.update() wouldn't call our custom __setitem__
for key, value in rawdata.items():
self[key] = value
return
def __parse_string(self, mystr, patt=_CookiePattern):
i = 0 # Our starting point
n = len(mystr) # Length of string
M = None # current morsel
while 0 <= i < n:
# Start looking for a cookie
match = patt.search(mystr, i)
if not match:
# No more cookies
break
key, value = match.group("key"), match.group("val")
i = match.end(0)
# Parse the key, value in case it's metainfo
if key[0] == "$":
# We ignore attributes which pertain to the cookie
# mechanism as a whole. See RFC 2109.
# (Does anyone care?)
if M:
M[key[1:]] = value
elif key.lower() in Morsel._reserved:
if M:
if value is None:
if key.lower() in Morsel._flags:
M[key] = True
else:
M[key] = _unquote(value)
elif value is not None:
rval, cval = self.value_decode(value)
self.__set(key, rval, cval)
M = self[key]
class SimpleCookie(BaseCookie):
"""
SimpleCookie supports strings as cookie values. When setting
the value using the dictionary assignment notation, SimpleCookie
calls the builtin str() to convert the value to a string. Values
received from HTTP are kept as strings.
"""
def value_decode(self, val):
return _unquote(val), val
def value_encode(self, val):
strval = str(val)
return strval, _quote(strval)
| [
"[email protected]"
] | |
fa1dcb7cf75c38c73c228a0c326b4791efa0218c | 09301c71638abf45230192e62503f79a52e0bd80 | /besco_erp/besco_warehouse/general_stock_shipping/wizard/__init__.py | 39773324ebf286802583121ca1528961e4ec8a3c | [] | no_license | westlyou/NEDCOFFEE | 24ef8c46f74a129059622f126401366497ba72a6 | 4079ab7312428c0eb12015e543605eac0bd3976f | refs/heads/master | 2020-05-27T06:01:15.188827 | 2017-11-14T15:35:22 | 2017-11-14T15:35:22 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 151 | py | # -*- coding: utf-8 -*-
#import stock_partial_picking
import stock_invoice_onshipping
# vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4: | [
"[email protected]"
] | |
f8b76ee88bf3199ba784eea23e13478c952ee068 | 225543bcaa194360aa66c738a99b7ad5c291434b | /main_210516.py | 8aabc2d068464e871a923d87cbc79014605fd9b0 | [] | no_license | m0100434/zendlijsten | f0eecf12ab3fc90c1db9b5c22f1163a92dcdf6f7 | 171e1c427db71dad01408072081c85035c57a2b2 | refs/heads/main | 2023-06-19T05:04:31.619139 | 2021-07-17T07:51:46 | 2021-07-17T07:51:46 | 349,770,868 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 10,358 | py | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 6 11:56:59 2021
@author: ArxXi
"""
from selenium import webdriver
import time
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
from selenium.common.exceptions import NoSuchElementException
import pickle
from datetime import date
def save_cookie(driver, path):
with open(path, 'wb') as filehandler:
pickle.dump(driver.get_cookies(), filehandler)
def load_cookie(driver, path):
with open(path, 'rb') as cookiesfile:
cookies = pickle.load(cookiesfile)
for cookie in cookies:
driver.add_cookie(cookie)
def remove_entry(index):
ourtime.pop(index-entries_deleted)
# print("time which is going to be deleted = "+ ourtime[index])
# ourtime[index] = "-"
"""
Een v
VTM v
Vier v
Canvas v
Vitaya = vtm 4 v
Q2 v
Vijf v
CAZ = vtm 3 v
Zes v
Ketnet v
La Une v
RTL-TVI v
AB3 ?
La Deux v
Club RTL v
Plug RTL ?
La Trois v
Nickelodeon FR ?
"""
def channel_identifier(anchor_link):
tmp = anchor_link.split("/")
if(tmp[4] == "een"):
return "een"
if (tmp[4] == "canvas"):
return "canvas"
if (tmp[4] == "vtm"):
return "vtm"
if (tmp[4] == "vier"):
return "vier"
if (tmp[4] == "vijf"):
return "vijf"
if (tmp[4] == "zes"):
return "zes"
if (tmp[4] == "rtl-tvi-hd"):
return "RTI TVI HD"
if (tmp[4] == "la-une"):
return "LA UNE"
if (tmp[4] == "la-deux"):
return "LA DEUX"
if (tmp[4] == "ketnet"):
return "KETNET"
if (tmp[4] == "vtm2"):
return "vtm2"
if (tmp[4] == "vtm3"):
return "vtm3"
if (tmp[4] == "club-rtl"):
return "club-rtl"
if (tmp[4] == "vtm4"):
return "vtm4"
if (tmp[4] == "caz-2"):
return "caz-2"
if (tmp[4] == "la-trois"):
return "la-trois"
return "null"
# options = FirefoxOptions()
# options.add_arguments("--headless")
# driver = webdriver.Firefox(options=options)
#0 click een, canvas,vtm, vier
#1 click vjtf
#2 click zes
#9 click la une , la deux, ketnet, la trois
#14 click
date_of_movie = ""
links_traveresed = 0
default_link = "https://www.demorgen.be/tv-gids/dag/16-05-2021"
if(len(default_link.split("/")) ==6):
date_of_movie =default_link.split("/")[5]
print("got true")
else:
date_of_movie = date.today()
date_of_movie = date_of_movie.strftime('%d/%m/%y')
driver = webdriver.Firefox()
driver.maximize_window()
driver.get(default_link)
# driver.implicitly_wait(15)
delay = 10 # seconds
try:
myElem = WebDriverWait(driver, delay).until(EC.presence_of_element_located((By.ID, 'sp_message_iframe_404503')))
print("Iframe element ready")
except TimeoutException:
print("Iframe not loaded issue")
a = driver.find_element_by_tag_name("iframe")
driver.switch_to.frame(1)
print("switching to iframe done")
green_button = driver.find_element_by_xpath('//button[text()="Akkoord"]')
green_button.click()
time.sleep(10)
print("It will be on schedule website")
driver.switch_to.default_content()
#declarration
iteration = 0
ourtime = []
channel_names = []
ad_index = 82
associated_channel_name = []
production_date = []
show_title = []
current_episode = []
total_episode = []
season_number = []
myepisode_number = ""
description = []
genre = []
series_movie = []
actors = []
episode_text = " "
entries_deleted = 0
number_of_clicks = [0,1,2,6,9,14]
links = []
while (iteration != (len(number_of_clicks))):
try:
myElem = WebDriverWait(driver, delay).until(EC.presence_of_element_located((By.XPATH, '/html/body/main/div/div/div[2]/div/div/div[1]/div[2]/button[2]')))
next_button = driver.find_element_by_xpath("/html/body/main/div/div/div[2]/div/div/div[1]/div[2]/button[2]")
for i in range(0, number_of_clicks[iteration]):
print("next button should be clicked")
next_button.click()
driver.implicitly_wait(2)
print("Next Button located")
except TimeoutException:
print("Next Button Not Located")
a = driver.find_elements_by_class_name("tvgm-channel__logo-placeholder")
#Getting channel names on current page
for i in range(0,len(a)):
ourlink = a[i].get_property("href")
distributed = ourlink.split("/")
channel = distributed[4]
channel_names.append(channel)
#time of shows
b = driver.find_elements_by_class_name("tvgm-broadcast-teaser__time")
for i in range(0,len(b)):
ourtime.append(b[i].text)
c = driver.find_elements_by_class_name("tvgm-broadcast-teaser__link")
for i in range(0,len(c)):
if((c[i].get_property("href")) not in links):
links.append(c[i].get_property("href"))
#getting link
for i in range(links_traveresed,len(links)):
tmp = links[i]
episode_text = " "
if(channel_identifier(tmp) != "null"):
associated_channel_name.append(channel_identifier(tmp))
driver.get(tmp)
#Page visited
try:
production_date.append(driver.find_element_by_class_name("tvgm-broadcast-detail__productionyear").text)
except NoSuchElementException:
print("Production Date not found")
production_date.append("-")
try:
show_title.append(driver.find_element_by_class_name("tvgm-broadcast-detail__title").text)
except NoSuchElementException:
print("Show title not found")
show_title.append("-")
try:
description.append(driver.find_element_by_class_name("tvgm-broadcast-detail__description").text)
except NoSuchElementException:
print("Description not found")
description.append("-")
try:
actors.append(driver.find_element_by_class_name("tvgm-broadcast-detail__castandcrew").text)
except NoSuchElementException:
print("Actors not found")
actors.append("-")
try:
temp = driver.find_element_by_class_name("tvgm-broadcast-detail__info-playable").text
temp = temp.split(",")
if(len(temp) == 2):
series_movie.append(temp[0])
genre.append(temp[1])
print("This got executed (Genre)")
if (len(temp) == 1):
series_movie.append(temp[0])
genre.append("-")
except NoSuchElementException:
print("Series/Movie not found")
series_movie.append("-")
genre.append("-")
try:
driver.find_element_by_class_name("tvgm-broadcast-detail__episode-numbers")
myepisode_number = driver.find_element_by_class_name("tvgm-broadcast-detail__episode-numbers").text
tmp = myepisode_number.split(" ")
season_number.append(tmp[1])
#changing done
if(len(tmp)>2):
combined_episode_number = tmp[3].split("/")
if(len(combined_episode_number) ==2):
current_episode.append(combined_episode_number[0])
total_episode.append(combined_episode_number[1])
print("This got executed (Episodes)")
if (len(combined_episode_number) == 1):
current_episode.append(combined_episode_number[0])
total_episode.append("-")
else:
#if both not available
total_episode.append("-")
current_episode.append("-")
print("Epsisode starting and ending exist ")
except NoSuchElementException:
print("Starting ending Episode not exist")
season_number.append("-")
current_episode.append("-")
total_episode.append("-")
#tester
#break
else:
#not interested in this channel
remove_entry(i)
entries_deleted = entries_deleted +1
print("****** ENTRY SKIPPED ********")
links_traveresed = len(links)
#tester
# if(i == ad_index):
# break
driver.get(default_link)
iteration = iteration+1
driver.close()
# print("Starting time = " + ourtime[ad_index])
# print("Actors = " + actors[ad_index])
# print("Associated Channel Name = " + associated_channel_name[ad_index])
# print("Production Date = " + production_date[ad_index])
# print("Show title = " + show_title[ad_index])
# print("Current Episode = " + current_episode[ad_index])
# print("Total Episode = " + total_episode[ad_index])
# print("Genre = " + genre[ad_index])
# print("Series_Movie = " + series_movie[ad_index])
# print("Season Number = " + season_number[ad_index])
# for i in range(0,len(ourtime)):
# if(ourtime[i] == "-"):
# del(ourtime[i])
print(ourtime)
print(actors)
print(associated_channel_name)
print(production_date)
print(show_title)
print(current_episode)
print(total_episode)
print(genre)
print(series_movie)
print(season_number)
print(len(ourtime))
print(len(actors))
print(len(associated_channel_name))
print(len(production_date))
print(len(show_title))
print(len(current_episode))
print(len(total_episode))
print(len(genre))
print(len(series_movie))
print(len(season_number))
import csv
with open('channel_data_210516.csv', mode='w',newline='') as employee_file:
employee_writer = csv.writer(employee_file, delimiter=',', quotechar='"', quoting=csv.QUOTE_MINIMAL)
for i in range(0,len(ourtime)):
if(i==0):
employee_writer.writerow(["Date of Movie","Starting Time","Actors","Channel Name","Production Date","Title of Show","Current Episode","Total Episodes","Genre","Series/Movie","Season Number"])
employee_writer.writerow([date_of_movie,ourtime[i],actors[i],associated_channel_name[i],production_date[i],show_title[i],current_episode[i],total_episode[i],genre[i],series_movie[i],season_number[i]])
| [
"[email protected]"
] | |
27a3e0d3c60ec1fc09deb3b837285e09d0373c5c | 380a47268c5975473a2e7c38c747bc3bdbd981b1 | /benchmark/third_party/transformers/src/transformers/models/swinv2/configuration_swinv2.py | ffffcd12aff0cda9d890cf0c52350bde1c406755 | [
"Apache-2.0"
] | permissive | FMInference/FlexGen | 07aa9b1918c19b02077e13ad07e76840843810dd | d34f7b4b43ed87a374f394b0535ed685af66197b | refs/heads/main | 2023-07-24T02:29:51.179817 | 2023-07-21T22:38:31 | 2023-07-21T22:38:31 | 602,270,517 | 6,821 | 411 | Apache-2.0 | 2023-07-07T22:59:24 | 2023-02-15T21:18:53 | Python | UTF-8 | Python | false | false | 6,527 | py | # coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# 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.
""" Swinv2 Transformer model configuration"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging
logger = logging.get_logger(__name__)
SWINV2_PRETRAINED_CONFIG_ARCHIVE_MAP = {
"microsoft/swinv2_tiny_patch4_windows8_256": (
"https://huggingface.co/microsoft/swinv2_tiny_patch4_windows8_256/resolve/main/config.json"
),
}
class Swinv2Config(PretrainedConfig):
r"""
This is the configuration class to store the configuration of a [`Swinv2Model`]. It is used to instantiate a Swin
Transformer v2 model according to the specified arguments, defining the model architecture. Instantiating a
configuration with the defaults will yield a similar configuration to that of the Swin Transformer v2
[microsoft/swinv2_tiny_patch4_windows8_256](https://huggingface.co/microsoft/swinv2_tiny_patch4_windows8_256)
architecture.
Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
documentation from [`PretrainedConfig`] for more information.
Args:
image_size (`int`, *optional*, defaults to 224):
The size (resolution) of each image.
patch_size (`int`, *optional*, defaults to 4):
The size (resolution) of each patch.
num_channels (`int`, *optional*, defaults to 3):
The number of input channels.
embed_dim (`int`, *optional*, defaults to 96):
Dimensionality of patch embedding.
depths (`list(int)`, *optional*, defaults to `[2, 2, 6, 2]`):
Depth of each layer in the Transformer encoder.
num_heads (`list(int)`, *optional*, defaults to `[3, 6, 12, 24]`):
Number of attention heads in each layer of the Transformer encoder.
window_size (`int`, *optional*, defaults to 7):
Size of windows.
mlp_ratio (`float`, *optional*, defaults to 4.0):
Ratio of MLP hidden dimensionality to embedding dimensionality.
qkv_bias (`bool`, *optional*, defaults to `True`):
Whether or not a learnable bias should be added to the queries, keys and values.
hidden_dropout_prob (`float`, *optional*, defaults to 0.0):
The dropout probability for all fully connected layers in the embeddings and encoder.
attention_probs_dropout_prob (`float`, *optional*, defaults to 0.0):
The dropout ratio for the attention probabilities.
drop_path_rate (`float`, *optional*, defaults to 0.1):
Stochastic depth rate.
hidden_act (`str` or `function`, *optional*, defaults to `"gelu"`):
The non-linear activation function (function or string) in the encoder. If string, `"gelu"`, `"relu"`,
`"selu"` and `"gelu_new"` are supported.
use_absolute_embeddings (`bool`, *optional*, defaults to `False`):
Whether or not to add absolute position embeddings to the patch embeddings.
patch_norm (`bool`, *optional*, defaults to `True`):
Whether or not to add layer normalization after patch embedding.
initializer_range (`float`, *optional*, defaults to 0.02):
The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
layer_norm_eps (`float`, *optional*, defaults to 1e-12):
The epsilon used by the layer normalization layers.
encoder_stride (`int`, `optional`, defaults to 32):
Factor to increase the spatial resolution by in the decoder head for masked image modeling.
Example:
```python
>>> from transformers import Swinv2Config, Swinv2Model
>>> # Initializing a Swinv2 microsoft/swinv2_tiny_patch4_windows8_256 style configuration
>>> configuration = Swinv2Config()
>>> # Initializing a model (with random weights) from the microsoft/swinv2_tiny_patch4_windows8_256 style configuration
>>> model = Swinv2Model(configuration)
>>> # Accessing the model configuration
>>> configuration = model.config
```"""
model_type = "swinv2"
attribute_map = {
"num_attention_heads": "num_heads",
"num_hidden_layers": "num_layers",
}
def __init__(
self,
image_size=224,
patch_size=4,
num_channels=3,
embed_dim=96,
depths=[2, 2, 6, 2],
num_heads=[3, 6, 12, 24],
window_size=7,
mlp_ratio=4.0,
qkv_bias=True,
hidden_dropout_prob=0.0,
attention_probs_dropout_prob=0.0,
drop_path_rate=0.1,
hidden_act="gelu",
use_absolute_embeddings=False,
patch_norm=True,
initializer_range=0.02,
layer_norm_eps=1e-5,
encoder_stride=32,
**kwargs
):
super().__init__(**kwargs)
self.image_size = image_size
self.patch_size = patch_size
self.num_channels = num_channels
self.embed_dim = embed_dim
self.depths = depths
self.num_layers = len(depths)
self.num_heads = num_heads
self.window_size = window_size
self.mlp_ratio = mlp_ratio
self.qkv_bias = qkv_bias
self.hidden_dropout_prob = hidden_dropout_prob
self.attention_probs_dropout_prob = attention_probs_dropout_prob
self.drop_path_rate = drop_path_rate
self.hidden_act = hidden_act
self.use_absolute_embeddings = use_absolute_embeddings
self.path_norm = patch_norm
self.layer_norm_eps = layer_norm_eps
self.initializer_range = initializer_range
self.encoder_stride = encoder_stride
# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
# this indicates the channel dimension after the last stage of the model
self.hidden_size = int(embed_dim * 2 ** (len(depths) - 1))
self.pretrained_window_sizes = (0, 0, 0, 0)
| [
"[email protected]"
] | |
0c64319d4b22ac9fcd813f02a4b038fd2894fb06 | d61183674ed7de0de626490cfba77d67c298d1be | /py_scripts/bench_plot_lasso_path_63.py | fe9f6bc621d038bca5caf96b8eede3fd982255b9 | [] | no_license | Giannos-G/python_dataset | bc670a53143d92cf781e88dee608da38b0e63886 | 18e24cbef16ada1003a3e15a2ed2a3f995f25e46 | refs/heads/main | 2023-07-25T20:24:31.988271 | 2021-09-09T10:31:41 | 2021-09-09T10:31:41 | 363,489,911 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,978 | py | """Benchmarks of Lasso regularization path computation using Lars and CD
The input data is mostly low rank but is a fat infinite tail.
"""
from collections import defaultdict
import gc
import sys
from time import time
import numpy as np
from sklearn.linear_model import lars_path, lars_path_gram
from sklearn.linear_model import lasso_path
from sklearn.datasets import make_regression
def compute_bench(samples_range, features_range):
it = 0
results = defaultdict(lambda: [])
max_it = len(samples_range) * len(features_range)
for n_samples in samples_range:
for n_features in features_range:
it += 1
print('====================')
print('Iteration %03d of %03d' % (it, max_it))
print('====================')
dataset_kwargs = {
'n_samples': n_samples,
'n_features': n_features,
'n_informative': n_features // 10,
'effective_rank': min(n_samples, n_features) / 10,
#'effective_rank': None,
'bias': 0.0,
}
print("n_samples: %d" % n_samples)
print("n_features: %d" % n_features)
X, y = make_regression(**dataset_kwargs)
gc.collect()
print("benchmarking lars_path (with Gram):", end='')
sys.stdout.flush()
tstart = time()
G = np.dot(X.T, X) # precomputed Gram matrix
Xy = np.dot(X.T, y)
lars_path_gram(Xy=Xy, Gram=G, n_samples=y.size, method='lasso')
delta = time() - tstart
print("%0.3fs" % delta)
results['lars_path (with Gram)'].append(delta)
gc.collect()
print("benchmarking lars_path (without Gram):", end='')
sys.stdout.flush()
tstart = time()
lars_path(X, y, method='lasso')
delta = time() - tstart
print("%0.3fs" % delta)
results['lars_path (without Gram)'].append(delta)
gc.collect()
print("benchmarking lasso_path (with Gram):", end='')
sys.stdout.flush()
tstart = time()
lasso_path(X, y, precompute=True)
delta = time() - tstart
print("%0.3fs" % delta)
results['lasso_path (with Gram)'].append(delta)
gc.collect()
print("benchmarking lasso_path (without Gram):", end='')
sys.stdout.flush()
tstart = time()
lasso_path(X, y, precompute=False)
delta = time() - tstart
print("%0.3fs" % delta)
results['lasso_path (without Gram)'].append(delta)
return results
if __name__ == '__main__':
from mpl_toolkits.mplot3d import axes3d # register the 3d projection
import matplotlib.pyplot as plt
samples_range = np.linspace(10, 500, 3).astype(int)
features_range = np.linspace(10, 800 , 3).astype(int)
results = compute_bench(samples_range, features_range)
max_time = max(max(t) for t in results.values())
fig = plt.figure('scikit-learn Lasso path benchmark results')
i = 1
for c, (label, timings) in zip('bcry', sorted(results.items())):
ax = fig.add_subplot(2, 2, i, projection='3d')
X, Y = np.meshgrid(samples_range, features_range)
Z = np.asarray(timings).reshape(samples_range.shape[0],
features_range.shape[0])
# plot the actual surface
ax.plot_surface(X, Y, Z.T, cstride=1, rstride=1, color=c, alpha=0.8)
# dummy point plot to stick the legend to since surface plot do not
# support legends (yet?)
# ax.plot([1], [1], [1], color=c, label=label)
ax.set_xlabel('n_samples')
ax.set_ylabel('n_features')
ax.set_zlabel('Time (s)')
ax.set_zlim3d(0.0, max_time * 1.1)
ax.set_title(label)
# ax.legend()
i += 1
#plt.show()
| [
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] | |
266caf0b8aac1131892e35df498ac3d0f0b896d4 | 801c0f1bb516684308ff78cd7a51616791a0e874 | /chroniker/management/commands/test_status_update.py | 421eb285e80b9811de5d66c6e334a4e16a2a8f26 | [] | no_license | Andy-R/django-chroniker | c63283cb1f45b2dfe6aeb6559323085cad226c15 | 91d239e69fe3ef5eefa8088e80987ccafb6b45ef | refs/heads/master | 2020-04-05T22:58:59.964744 | 2017-02-10T15:08:33 | 2017-02-10T15:08:33 | 62,376,921 | 0 | 0 | null | 2016-07-01T08:18:00 | 2016-07-01T08:17:59 | null | UTF-8 | Python | false | false | 1,742 | py | from __future__ import print_function
import time
from optparse import make_option
import django
from django.core.management.base import BaseCommand
from chroniker.models import Job
class Command(BaseCommand):
help = 'Incrementally updates status, to help testing transaction ' + \
'behavior on different database backends.'
option_list = getattr(BaseCommand, 'option_list', ()) + (
make_option('--seconds',
dest='seconds',
default=60,
help='The number of total seconds to count up to.'),
)
def create_parser(self, prog_name, subcommand):
"""
For ``Django>=1.10``
Create and return the ``ArgumentParser`` which extends ``BaseCommand`` parser with
chroniker extra args and will be used to parse the arguments to this command.
"""
from distutils.version import StrictVersion # pylint: disable=E0611
parser = super(Command, self).create_parser(prog_name, subcommand)
version_threshold = StrictVersion('1.10')
current_version = StrictVersion(django.get_version(django.VERSION))
if current_version >= version_threshold:
parser.add_argument('args', nargs="*")
parser.add_argument('--seconds',
dest='seconds',
default=60,
help='The number of total seconds to count up to.')
self.add_arguments(parser)
return parser
def handle(self, *args, **options):
seconds = int(options['seconds'])
for i in range(seconds):
Job.update_progress(total_parts=seconds, total_parts_complete=i)
print('%i of %i' % (i, seconds))
time.sleep(1)
| [
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] | |
01f8f42fb980f7cf74de36d4025987a48d2a02a3 | d77e19636cd7d64019be3bf70d23102bf3e22fa8 | /pycheribuild/config/jenkinsconfig.py | af5a922903bacb23cbfd6057cee8eb27f5316c34 | [
"BSD-2-Clause"
] | permissive | bitvijays/cheribuild | 205d28d7e3b31d1ba43e61ab824a2454bfa841a5 | 860c1f729f40691f49a3df91f608204f7b128cf8 | refs/heads/master | 2021-01-02T04:55:26.846710 | 2020-02-10T11:33:25 | 2020-02-10T11:33:25 | 239,497,080 | 0 | 0 | NOASSERTION | 2020-02-10T11:36:06 | 2020-02-10T11:36:05 | null | UTF-8 | Python | false | false | 14,425 | py | #
# Copyright (c) 2017 Alex Richardson
# All rights reserved.
#
# This software was developed by SRI International and the University of
# Cambridge Computer Laboratory under DARPA/AFRL contract FA8750-10-C-0237
# ("CTSRD"), as part of the DARPA CRASH research programme.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS ``AS IS'' AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
# SUCH DAMAGE.
#
import os
from enum import Enum
from pathlib import Path
from .loader import ConfigLoaderBase
from .chericonfig import CheriConfig
from .target_info import CompilationTargets, CrossCompileTarget
from ..utils import defaultNumberOfMakeJobs, fatalError, IS_MAC, IS_LINUX, IS_FREEBSD
def default_install_prefix(conf: "JenkinsConfig", unused):
if conf.crossCompileTarget.is_native():
return "/opt/" + conf.targets[0]
return "/opt/" + conf.cpu
class JenkinsAction(Enum):
BUILD = ("--build", "Run (usually build+install) chosen targets (default)")
CREATE_TARBALL = ("--create-tarball", "Create an archive of the installed files", "--tarball")
TEST = ("--test", "Run tests")
EXTRACT_SDK = ("--extract-sdk", "Extract the SDK archive and then exit")
# TODO: TEST = ("--test", "Run tests for the passed targets instead of building them", "--run-tests")
def __init__(self, option_name, help_message, altname=None, actions=None):
self.option_name = option_name
self.help_message = help_message
self.altname = altname
if not actions:
actions = [self]
if actions:
self.actions = actions
def absolute_path_only(p: str) -> Path:
expanded = os.path.expanduser(os.path.expandvars(str(p)))
# print("Expanding env vars in", result, "->", expanded, os.environ)
result = Path(expanded)
if not result.is_absolute():
raise ValueError("Must be an absolute path but was: " + repr(result))
return result
class JenkinsConfig(CheriConfig):
def __init__(self, loader: ConfigLoaderBase, availableTargets: list):
super().__init__(loader, action_class=JenkinsAction)
self.default_action = "" # error if no action set
self.cpu = loader.addCommandLineOnlyOption("cpu", default=os.getenv("CPU"),
help="The target to build the software for (defaults to $CPU).",
choices=["cheri128", "cheri256",
"mips", "hybrid-cheri128", "hybrid-cheri256",
"native", "x86", "amd64"]) # type: str
self.workspace = loader.addCommandLineOnlyOption("workspace", default=os.getenv("WORKSPACE"), type=Path,
help="The root directory for building (defaults to $WORKSPACE)") # type: Path
self.sdkArchiveName = loader.addCommandLineOnlyOption("sdk-archive", type=str, default=os.getenv("SDK_ARCHIVE"),
help="The name of the sdk archive") # type: str
self.keepInstallDir = loader.addCommandLineOnlyBoolOption("keep-install-dir",
help="Don't delete the install dir prior to build") # type: bool
self.keepSdkDir = loader.addCommandLineOnlyBoolOption("keep-sdk-dir", help="Don't delete existing SDK dir even"
" if there is a newer archive") # type: bool
self.force_update = loader.addCommandLineOnlyBoolOption("force-update",
help="Do the updating (not recommended in jenkins!)") # type: bool
self.copy_compilation_db_to_source_dir = False
self.makeWithoutNice = False
self.makeJobs = loader.addCommandLineOnlyOption("make-jobs", "j", type=int,
default=defaultNumberOfMakeJobs(),
help="Number of jobs to use for compiling")
self.installationPrefix = loader.addCommandLineOnlyOption("install-prefix", type=absolute_path_only,
default=default_install_prefix,
help="The install prefix for cross compiled projects"
" (the path where it will end up in the install"
" image)") # type: Path
self.without_sdk = loader.addCommandLineOnlyBoolOption("without-sdk", help="Don't use the CHERI SDK -> only /usr (for native builds)")
self.strip_elf_files = loader.addCommandLineOnlyBoolOption("strip-elf-files", help="Strip ELF files before creating the tarball", default=True)
self.cheri_sdk_path = loader.addCommandLineOnlyOption("cheri-sdk-path", default=None, type=Path,
help="Override the path to the CHERI SDK (default is $WORKSPACE/cherisdk)") # type: Path
self.extract_compiler_only = loader.addCommandLineOnlyBoolOption("extract-compiler-only",
help="Don't attempt to extract the CheriBSD sysroot")
self.tarball_name = loader.addCommandLineOnlyOption("tarball-name",
default=lambda conf, cls: conf.targets[0] + "-" + conf.cpu + ".tar.xz")
self.default_output_path = "tarball"
self.output_path = loader.addCommandLineOnlyOption("output-path", default=self.default_output_path,
help="Path for the output (relative to $WORKSPACE)")
# self.strip_install_prefix_from_archive = loader.addCommandLineOnlyBoolOption("strip-install-prefix-from-archive",
# help="Only put the files inside the install prefix into the tarball (stripping the leading directories)") # type: bool
self.skipUpdate = True
self.skipClone = True
self.verbose = True
self.quiet = False
self.clean = loader.addCommandLineOnlyBoolOption("clean", default=True,
help="Clean build directory before building")
self.force = True # no user input in jenkins
self.write_logfile = False # jenkins stores the output anyway
self.skipConfigure = False
self.forceConfigure = True
# self.listTargets = False
# self.dumpConfig = False
# self.getConfigOption = None
self.includeDependencies = False
loader.finalizeOptions(availableTargets)
@property
def cheri_sdk_directory_name(self):
return "cherisdk"
@property
def sdk_cpu(self) -> str:
sdk_cpu = os.getenv("SDK_CPU")
if not sdk_cpu:
if self.cpu in ("cheri128", "cheri256", "mips"):
return self.cpu
if self.cpu == "hybrid-cheri128":
return "cheri128"
if self.cpu == "hybrid-cheri256":
return "cheri256"
else:
fatalError("SDK_CPU variable not set, cannot infer the name of the SDK archive")
return sdk_cpu
@property
def sdkArchivePath(self):
if self.sdkArchiveName is None:
self.sdkArchiveName = "{}-{}-sdk.tar.xz".format(self.sdk_cpu, self.cheri_sdk_isa_name)
assert isinstance(self.sdkArchiveName, str)
return self.workspace / self.sdkArchiveName
@property
def cheri_sdk_isa_name(self):
guessed_abi_suffix = "cap-table-" + self.cheri_cap_table_abi
if self.cheri_cap_table_abi == "legacy":
guessed_abi_suffix = "legacy"
return os.getenv("ISA", guessed_abi_suffix)
@property
def qemu_bindir(self):
for i in self.cheri_sdk_bindir.glob("qemu-system-*"):
if self.verbose:
print("Found QEMU binary", i, "in SDK dir -> using that for QEMU binaries")
# If one qemu-system-foo exists in the cheri_sdk_bindir use that instead of $WORKSPACE/qemu-<OS>
return self.cheri_sdk_bindir
if IS_LINUX:
os_suffix = "linux"
elif IS_FREEBSD:
os_suffix = "freebsd"
elif IS_MAC:
os_suffix = "mac"
else:
os_suffix = "unknown-os"
return self.workspace / ("qemu-" + os_suffix) / "bin"
def get_cheribsd_sysroot_path(self, cross_compile_target: CrossCompileTarget):
# TODO: currently we need this to be unprefixed since that is what the archives created by jenkins look like
return self.cheri_sdk_dir / "sysroot"
def load(self):
super().load()
if not self.workspace or not self.workspace.is_dir():
fatalError("WORKSPACE is not set to a valid directory:", self.workspace)
self.sourceRoot = self.workspace
self.buildRoot = self.workspace
if self.output_path != self.default_output_path:
if not self.keepInstallDir:
print("Not cleaning non-default output path", self.workspace / self.output_path)
self.keepInstallDir = True
self.outputRoot = self.workspace / self.output_path
# expect the CheriBSD disk images in the workspace root
self.cheribsd_image_root = self.workspace
self.otherToolsDir = self.workspace / "bootstrap"
# check for ctsrd/cheri-sdk-{cheri256,cheri128,mips} docker image
if self.cheri_sdk_path is not None:
self.cheri_sdk_dir = self.cheri_sdk_path
elif Path("/cheri-sdk/bin/cheri-unknown-freebsd-clang").exists():
self.cheri_sdk_dir = Path("/cheri-sdk")
else:
self.cheri_sdk_dir = self.workspace / self.cheri_sdk_directory_name
self.crossCompileTarget = self.cpu
if self.cpu == "cheri128":
self.cheriBits = 128
self.crossCompileTarget = CompilationTargets.CHERIBSD_MIPS_PURECAP
elif self.cpu == "cheri256":
self.cheriBits = 256
self.crossCompileTarget = CompilationTargets.CHERIBSD_MIPS_PURECAP
elif self.cpu in ("mips", "hybrid-cheri128", "hybrid-cheri256"): # MIPS with CHERI memcpy
self.cheriBits = 9998
if self.cpu == "mips" and self.sdk_cpu in ("cheri128", "cheri256"):
self.cpu = "hybrid-" + self.sdk_cpu
if self.cpu.startswith("hybrid-cheri"):
self.cheriBits = int(self.cpu[len("hybrid-cheri"):])
self.run_mips_tests_with_cheri_image = True
self.crossCompileTarget = CompilationTargets.CHERIBSD_MIPS_HYBRID
else:
assert self.cpu == "mips"
self.crossCompileTarget = CompilationTargets.CHERIBSD_MIPS_NO_CHERI
elif self.cpu in ("x86", "x86_64", "amd64", "host", "native"):
self.cheriBits = 9999
self.crossCompileTarget = CompilationTargets.NATIVE
else:
fatalError("CPU is not set to a valid value:", self.cpu)
if IS_MAC and self.crossCompileTarget.is_native():
self.without_sdk = True # cannot build macos binaries with lld
if self.force_update:
self.skipUpdate = False
self.skipClone = False
if self.without_sdk:
if not self.crossCompileTarget.is_native():
fatalError("The --without-sdk flag only works when building host binaries")
self.cheri_sdk_dir = self.outputRoot / str(self.installationPrefix).strip('/')
# allow overriding the clang/clang++ paths with HOST_CC/HOST_CXX
self.clangPath = Path(os.getenv("HOST_CC", self.clangPath))
self.clangPlusPlusPath = Path(os.getenv("HOST_CXX", self.clangPlusPlusPath))
self.clangCppPath = Path(os.getenv("HOST_CPP", self.clangCppPath))
if not self.clangPath.exists():
fatalError("C compiler", self.clangPath, "does not exit. Pass --clang-path or set $HOST_CC")
if not self.clangPlusPlusPath.exists():
fatalError("C++ compiler", self.clangPlusPlusPath, "does not exit. Pass --clang++-path or set $HOST_CXX")
if not self.clangCppPath.exists():
fatalError("C pre-processor", self.clangCppPath, "does not exit. Pass --clang-cpp-path or set $HOST_CPP")
else:
# always use the CHERI clang built by jenkins
self.clangPath = self.cheri_sdk_bindir / "clang"
self.clangPlusPlusPath = self.cheri_sdk_bindir / "clang++"
if self.cheri_sdk_path is not None:
assert self.cheri_sdk_bindir == self.cheri_sdk_path / "bin"
self._initializeDerivedPaths()
assert self._ensure_required_properties_set()
if os.getenv("DEBUG") is not None:
import pprint
for k, v in self.__dict__.items():
if hasattr(v, "__get__"):
setattr(self, k, v.__get__(self, self.__class__))
pprint.pprint(vars(self))
| [
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] | |
7e0b8ad5684c410de74942820196b3c81c829fbe | d36de316f920342823dd60dc10fa8ee5ce146c5e | /brexit_legislation/urls.py | 924cff38cbcfd8a9bf87ee22b129c91f764ff4ba | [] | no_license | DemocracyClub/EURegulation | a621afa3ffae555ebd5fbdc205eceb7746a468d1 | 7cf0bf31b200ab1cb59922f0b3ca120be3757637 | refs/heads/master | 2022-07-22T04:48:59.555642 | 2018-06-26T14:42:19 | 2018-06-26T14:42:19 | 80,203,236 | 2 | 0 | null | 2022-07-08T16:02:53 | 2017-01-27T11:47:20 | Python | UTF-8 | Python | false | false | 318 | py | from django.conf.urls import include, url
from django.views.generic import TemplateView
urlpatterns = [
url(r'^$', TemplateView.as_view(template_name='home.html'), name="home"),
url(r'^api/', include('api.urls')),
url(r'^browse/', include('browse.urls')),
url(r'^search/', include('search.urls')),
]
| [
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] | |
aa4222d7121296f46a7502528baf20ee183c59f5 | af0deaee911417589b932022ad8bd0127fe42f24 | /store/urls.py | db22aac04b2701050a91449ba9c4263d85097de3 | [] | no_license | mayankkushal/go-green-v1 | b74e7ec7ca6ab0921e72fe43b5ea76f8eea739c6 | 76f16616073ecc101fbbbe9fe49173b9638f597c | refs/heads/master | 2022-12-08T21:21:12.223347 | 2019-02-08T16:29:37 | 2019-02-08T16:29:37 | 99,202,678 | 2 | 1 | null | 2022-11-22T01:52:51 | 2017-08-03T07:14:48 | JavaScript | UTF-8 | Python | false | false | 1,135 | py | from django.conf.urls import url,include
from django.views.generic import DetailView, TemplateView, ListView
from django.views.decorators.csrf import csrf_exempt
from . import views
from .models import Store
app_name = "store"
urlpatterns = [
url(r'^create_store/$', views.StoreCreate.as_view(), name='store_add'),
url(r'^store_update/(?P<slug>[\w\-]+)/$', views.StoreUpdate.as_view(), name="store_update"),
url(r'^detail/(?P<slug>[\w\-]+)$', DetailView.as_view(
context_object_name="store",
model=Store
), name="store_detail"),
url(r'^store_list', ListView.as_view(
context_object_name='store_list',
model=Store
), name="store_list"),
url(r'^locator', views.StoreLocator.as_view(), name='locator'),
url(r'^statement', views.StoreStatement.as_view(), name='statement'),
url(r'^add_product', views.ProductCreate.as_view(), name="add_product"),
url(r'^update_product/(?P<pk>[\w\-]+)/', views.ProductUpdate.as_view(), name="update_product"),
url(r'^product_list', views.ProductListView.as_view(), name='product_list'),
url(r'^(?P<pk>[\w\-]+)/delete', views.ProductDelete.as_view(), name='delete_product')
] | [
"[email protected]"
] | |
5306a2f64af4a94ca1b18c60aedf583b89749974 | 875bb84440094ce058a2ec25a661a7da6bb2e129 | /algo_py/boj/bj5648.py | 711657eeb72989ec9d754ee49844ee659979c08d | [] | no_license | shg9411/algo | 150e4291a7ba15990f17ca043ae8ab59db2bf97b | 8e19c83b1dbc0ffde60d3a3b226c4e6cbbe89a7d | refs/heads/master | 2023-06-22T00:24:08.970372 | 2021-07-20T06:07:29 | 2021-07-20T06:07:29 | 221,694,017 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 138 | py | import sys
num = []
while l := sys.stdin.readline():
num.extend(map(lambda x: int(x[::-1]), l.split()))
[*map(print,sorted(num[1:]))]
| [
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] | |
2799157d96b71ff3615a6ab9753f9497cd1bee80 | e13cd9a8a53a3d688bcc2621c18e4d0ce79fabcb | /legacy_code/process_back_test_can_1.py | 23c21ce071369a7039cd23115f6fb210432d302f | [] | no_license | renewday/sds | 2d59560515e67dcc84cb259b61e52ccf08f362f0 | 167b5fe6d1533506e104981c9beffdec4d274a0f | refs/heads/master | 2020-04-03T15:34:20.487630 | 2016-06-23T01:14:06 | 2016-06-23T01:14:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 65,401 | py | import os
import copy
import math
import sys
import matplotlib.pyplot as plt
import datetime
from scipy.signal import argrelextrema
import numpy as np
sys.path.append("../emd_util")
from generate_emd_data import generateEMDdata
from analyze import *
from spline_predict import linerestruct
from emd import *
from leastsqt import leastsqt_predict
from svm_uti import *
from spline_predict import splinerestruct
from calc_SNR import calc_SNR2
from calc_SNR import calc_SNR
from calc_match import matchlist2
from calc_match import matchlist3
from calc_match import matchlist1
from calc_match import matchlist4
class process_util():
def __init__(self,open_price,close_price,macd,date,vol,high_price,low_price,je,kdjk,kdjd,wr):
self.money = 10000
self.share = 0
self.sell_x_index = []
self.sell_y_index = []
self.buy_x_index = []
self.buy_y_index = []
self.open_price = open_price
self.high_price = high_price
self.low_price = low_price
self.close_price = close_price
self.kdjk=kdjk
self.kdjd=kdjd
self.wr=wr
self.total_asset_list = []
self.total_asset = 0
self.buy_price = 0
self.je = je
self.macd = macd
self.date = date
self.vol = vol
self.fail_flag = 0
self.stdimf=[]
self.buy_day = 0
self.last_buy_result=0
self.buy_mean_price = 0
self.one_time_day=0
self.ma_count1=0
self.ma_count=0
self.ma_count2=0
self.sell_flag=0
self.sell_flag2=0
self.snr=[]
self.open_flag=0
self.power_flag=0
self.emdstd=[]
self.matchcha=[]
self.extenflag=[]
self.imf_flag_list=[]
self.close_flag=[]
self.high_flag=[]
self.f_d=0
self.day_count=0
self.last_as=10000
self.hb=[]
self.last_fail=0
def sell(self, share, price):
return float(share)*float(price)
def buy(self, money, price):
return float(money)/float(price)
def file_count(self, train_data_dir):
f = os.popen("ls %s|wc -l"%train_data_dir)
file_num = f.readline()
f.close()
return file_num
def sell_fee(self, money):
return money*0.0002+money*0.001
def buy_fee(self, share, price):
return share*price*0.0002
def run_predict1(self,imf_list,current_price_index,date,datafile,residual,imf_open,imf_macd,sel_flag,emd_data,emd_data2):
print "\n\n begin"
for i in range(len(imf_list)):
imfp = imf_list[i]
data = np.array(imfp)
max_index = list(argrelextrema(data,np.greater)[0])
min_index = list(argrelextrema(data,np.less)[0])
print "imf %s"%i
print "max %s"%max_index
print "min %s"%min_index
####
imf1_max_index = list(argrelextrema(np.array(imf_list[1]),np.greater)[0])
imf1_min_index = list(argrelextrema(np.array(imf_list[1]),np.less)[0])
imf1_or_flag=0
#if imf1_min_index[-1]>imf1_max_index[-1] and imf1_min_index[-1]>996:
# imf1_or_flag=1
if imf1_min_index[-1]<imf1_max_index[-1] :#and imf1_max_index[-1]>=496:
imf1_or_flag=2
###
imf2_max_index = list(argrelextrema(np.array(imf_list[2]),np.greater)[0])
#print " imf max index %s"%imf2_max_index
imf2_min_index = list(argrelextrema(np.array(imf_list[2]),np.less)[0])
#print " imf min index %s"%imf2_min_index
imf2_or_flag=0
if imf2_min_index[-1]>imf2_max_index[-1] and imf2_min_index[-1]>996 and imf2_min_index[-1]-imf2_max_index[-1]>3:
imf2_or_flag=1
if imf2_min_index[-1]<imf2_max_index[-1] and imf2_max_index[-1]>996 and imf2_max_index[-1]-imf2_min_index[-1]>3:
imf2_or_flag=2
#print "imf2 or flag%s"%imf2_or_flag
#imf2_max_index = list(argrelextrema(np.array(imf_list[2][:-4]),np.greater)[0])
#imf2_min_index = list(argrelextrema(np.array(imf_list[2][:-4]),np.less)[0])
#if imf2_min_index[-1]<imf2_max_index[-1] and imf2_max_index[-1]<995 and imf2_max_index[-1]-imf2_min_index[-1]>3:
# imf2_or_flag=11
#if imf2_min_index[-1]>imf2_max_index[-1] and imf2_min_index[-1]<995 and imf2_min_index[-1]-imf2_max_index[-1]>3:
# imf2_or_flag=0
#if imf2_min_index[-1]>imf2_max_index[-1] and imf2_min_index[-1]<990 :
# imf2_or_flag=1
residual_max_index = list(argrelextrema(np.array(residual),np.greater)[0])
residual_min_index = list(argrelextrema(np.array(residual),np.less)[0])
print "residual"
residual_max_index.insert(0,0)
residual_min_index.insert(0,0)
print "max %s"%residual_max_index
print "min %s"%residual_min_index
residual_flag=0
#if (residual_max_index[-1]<residual_min_index[-1] and residual_min_index[-1]<45):
if (residual_max_index[-1]<residual_min_index[-1] and residual_min_index[-1]>46):
residual_flag=1
print "residual %s"%residual_flag
s=[emd_data2[i]-imf_list[0][i] for i in range(len(emd_data2))]
s=[s[i]-imf_list[1][i] for i in range(len(emd_data2))]
#s=imf_list[2]
##process_data = self.close_price[current_price_index-99:current_price_index+1]
data = np.array(s)
max_index = list(argrelextrema(data,np.greater)[0])
min_index = list(argrelextrema(data,np.less)[0])
#print "s index%s"%max_index
#print "s index%s"%min_index
#tmp=max_index+min_index
#tmp.sort()
if 0:#tmp[-1]<270:
s=imf_list[1]
data = np.array(s)
max_index = list(argrelextrema(data,np.greater)[0])
min_index = list(argrelextrema(data,np.less)[0])
decision=0
if max_index[-1]>min_index[-1]:
decision=0
#elif max_index[-1]<min_index[-1] and min_index[-1]>980:
else:
decision=1
######
imf0_max_index = list(argrelextrema(np.array(imf_list[0]),np.greater)[0])
imf0_min_index = list(argrelextrema(np.array(imf_list[0]),np.less)[0])
tmp = imf0_max_index+imf0_min_index
tmp.sort()
trust0=tmp[-2]
imf1_max_index = list(argrelextrema(np.array(imf_list[1]),np.greater)[0])
imf1_min_index = list(argrelextrema(np.array(imf_list[1]),np.less)[0])
imf1_min_index=filter(lambda n:n<=trust0,imf1_min_index)
imf1_max_index=filter(lambda n:n<=trust0,imf1_max_index)
tmp = imf1_max_index+imf1_min_index
tmp.sort()
trust1=tmp[-2]
imf1_min_index=filter(lambda n:n<trust0,imf1_min_index)
imf1_max_index=filter(lambda n:n<trust0,imf1_max_index)
tmp = imf1_max_index+imf1_min_index
tmp.sort()
trust11=tmp[-1]
#use=2
##if trust11<993 and tmp[-1]-tmp[-2]>3:
## use=1
imf2_max_index = list(argrelextrema(np.array(imf_list[2]),np.greater)[0])
imf2_min_index = list(argrelextrema(np.array(imf_list[2]),np.less)[0])
imf2_min_index=filter(lambda n:n<=trust1,imf2_min_index)
imf2_max_index=filter(lambda n:n<=trust1,imf2_max_index)
tmp = imf2_max_index+imf2_min_index
tmp.sort()
trust2=tmp[-1]
#trust22=tmp[-2]
#imf3_max_index = list(argrelextrema(np.array(imf_list[2]),np.greater)[0])
#imf3_min_index = list(argrelextrema(np.array(imf_list[2]),np.less)[0])
#imf3_min_index=filter(lambda n:n<=trust2,imf3_min_index)
#imf3_max_index=filter(lambda n:n<=trust2,imf3_max_index)
#tmp = imf3_max_index+imf3_min_index
#tmp.sort()
#trust3=tmp[-1]
###############################################################
#if len(imf_list)<2:
# imf_process = list(imf_list[0])
#else:
# imf_process = list(imf_list[1])
#imf_process = list(imf_list[2])
#imf_process3 = list(imf_list[2])
# # print "imf process len%s"%len(imf_process)
# # #tmp = matchlist(imf_process,10,20)
# # print "imf process%s"%imf_process[-10:]
# # (tmp,extenflag1) = matchlist3(imf_process)
# # print "tmp len%s"%len(tmp)
# # imf_process=tmp
# # print "imf process%s"%imf_process[-10:]
# # tmp = imf_max_index+imf_min_index
# # tmp.sort()
# # i=1
# # while tmp[-i]>trust:
# # i+=1
# # print "use %s "%i
# # if i==1 :#or tmp[-2]<990:
# # (imf_process,extenflag1,ex_num) = matchlist1(imf_process)
# # elif i==2:
# # (imf_process,extenflag1,ex_num) = matchlist2(imf_process)
# # else:
# # (imf_process,extenflag1,ex_num) = matchlist3(imf_process)
imf2_max_index = list(argrelextrema(np.array(imf_list[2]),np.greater)[0])
imf2_min_index = list(argrelextrema(np.array(imf_list[2]),np.less)[0])
tmp = imf2_max_index+imf2_min_index
tmp.sort()
i=1
while tmp[-i]>trust2:
i+=1
if tmp[-i]<490:
i-=1
if tmp[-i]<490:
i-=1
if tmp[-i]>495:
i+=1
if i<0:
i=1
print "haha %s"%i
if i==1 :#or tmp[-2]<990:
(imf_process,extenflag1,ex_num,cha,cha2) = matchlist1(imf_list[2],3,emd_data)
elif i==2:
(imf_process,extenflag1,ex_num,cha,cha2) = matchlist2(imf_list[2],3,emd_data)
else:
(imf_process,extenflag1,ex_num,cha,cha2) = matchlist3(imf_list[2],3,emd_data)
#print "imf2 cha %s"%cha2
#####
#####
#last_power=imf_process[-2]-(np.mean(imf_process[-4:-1]))
#current_power=imf_process[-1]-(np.mean(imf_process[-3:]))
#power_de=0
#if last_power<0 and current_power>0:
# power_de=1
#if last_power>0 and current_power<0:
# power_de=2
#
imf_max_index = list(argrelextrema(np.array(imf_process),np.greater)[0])
print " imf max index %s"%imf_max_index
imf_min_index = list(argrelextrema(np.array(imf_process),np.less)[0])
print " imf min index %s"%imf_min_index
####
imf_value=[]
for i in imf_max_index:
imf_value.append(imf_process[i])
print "std imf value%s"%np.std(imf_value[-10:])
self.stdimf.append(np.std(imf_value[-10:]))
####
#print "imf process %s"%imf_process[-10:]
#print "imf process extenflag%s "%extenflag1
#print imf_process[-1]
#print "-1imf_min_index %s"%imf_process[imf_min_index[-1]]
#print "-1imf_max_index %s"%imf_process[imf_max_index[-1]]
#ex_flag=1
#if ex_num>2:
# ex_flag=0
#print "ex flag%s num %s"%(ex_flag,ex_num)
#self.extenflag.append(extenflag1)
#print "extenflag %s"%self.extenflag[-10:]
#self.matchcha.append(cha)
#print "matchcha%s"%self.matchcha[-10:]
#
imf2_flag=0
#print imf_min_index[-1]
#print imf_max_index[-1]
#last_max=current_price_index-(999-imf_max_index[-1])+1
#if imf_min_index[-1]>imf_max_index[-1]:
# if imf_min_index[-1]-imf_max_index[-1]<3:
# imf_min_index.pop()
#if imf_max_index[-1]>imf_min_index[-1]:
# if imf_max_index[-1]-imf_min_index[-1]<3:
# imf_max_index.pop()
if imf_min_index[-1]>imf_max_index[-1] and imf_min_index[-1]>=496 :#and imf_min_index[-1]-imf_max_index[-1]>10:#and ex_flag==1:#and imf_process[-1]<0 :
imf2_flag=1
if imf_min_index[-1]<imf_max_index[-1] and imf_max_index[-1]>=496:
imf2_flag=2
transfer_index=imf_min_index
#print "pwoer de %s"%power_de
##########
imf1_max_index = list(argrelextrema(np.array(imf_list[1]),np.greater)[0])
imf1_min_index = list(argrelextrema(np.array(imf_list[1]),np.less)[0])
tmp = imf1_max_index+imf1_min_index
tmp.sort()
i=1
while tmp[-i]>trust1:
i+=1
if tmp[-i]<490:
i-=1
if tmp[-i]<490:
i-=1
if tmp[-i]>496:
i+=1
if i<0:
i=1
print "3haha %s"%i
if i==1 :#or tmp[-2]<990:
(imf_process,extenflag1,ex_num,cha,cha2) = matchlist1(imf_list[1],2,emd_data)
elif i==2:
(imf_process,extenflag1,ex_num,cha,cha2) = matchlist2(imf_list[1],2,emd_data)
else:
(imf_process,extenflag1,ex_num,cha,cha2) = matchlist3(imf_list[1],2,emd_data)
imf_max_index = list(argrelextrema(np.array(imf_process),np.greater)[0])
print " imf1 max index %s"%imf_max_index
imf_min_index = list(argrelextrema(np.array(imf_process),np.less)[0])
print " imf1 min index %s"%imf_min_index
imf1_flag=0
if (imf_min_index[-1]>imf_max_index[-1] and imf_min_index[-1]>496) :#and imf1_or_flag!=2) or (imf1_or_flag==1) :#and ex_flag==1:#and imf_process[-1]<0 :
imf1_flag=1
if (imf_min_index[-1]<imf_max_index[-1] and imf_max_index[-1]>=496 ) :#or (imf1_or_flag==2):
imf1_flag=2
############
#ma3 = self.ma(self.close_price, 3, 0, current_price_index)
#ma5 = self.ma(self.close_price, 5, 0, current_price_index)
#current_price = self.close_price[current_price_index]
#imf1_max_index = list(argrelextrema(np.array(imf_list[1]),np.greater)[0])
#imf1_min_index = list(argrelextrema(np.array(imf_list[1]),np.less)[0])
#tmp = imf1_max_index+imf1_min_index
#tmp.sort()
#i=1
#while tmp[-i]>trust11:
# i+=1
#print "1haha %s"%i
#if i==1 :#or tmp[-2]<990:
# (imf_process,extenflag1,ex_num,cha,cha2) = matchlist1(imf_list[1],3,emd_data)
#elif i==2:
# (imf_process,extenflag1,ex_num,cha,cha2) = matchlist2(imf_list[1],3,emd_data)
#else:
# (imf_process,extenflag1,ex_num,cha,cha2) = matchlist3(imf_list[1],3,emd_data)
#imf_max_index = list(argrelextrema(np.array(imf_process),np.greater)[0])
#print " imf1 max index %s"%imf_max_index
#imf_min_index = list(argrelextrema(np.array(imf_process),np.less)[0])
#print " imf1 min index %s"%imf_min_index
#print "cha2 %s"%cha2
#imf1_flag=0
#if (imf_min_index[-1]>imf_max_index[-1] and imf_min_index[-1]>996 and cha2>1) or (imf1_or_flag==1):#len(imf_process)-5 and extenflag1<2:#and imf_process[-1]<0 :
# imf1_flag=1
#if imf_max_index[-1]>imf_min_index[-1] and imf_max_index[-1]<991 and cha2>1 :#len(imf_process)-5 and extenflag1<2:#and imf_process[-1]<0 :
# imf1_flag=1
#if imf_min_index[-1]<imf_max_index[-1] and imf_max_index[-1]>996:#=len(imf_process)-5:
# imf1_flag=2
#if imf_min_index[-1]>imf_max_index[-1] and imf_min_index[-1]<991 and current_price<ma5:#len(imf_process)-5 and extenflag1<2:#and imf_process[-1]<0 :
# imf1_flag=2
print "imf2flag %s"%imf2_flag
##############
###########
last_max=0
decision=0
if sel_flag==2:
# #if ((imf2_flag==1 and imf1_flag==1 and imf2_or_flag==11) or (imf2_or_flag==1 and imf1_flag==1)) and (imf0_flag==1) :#and imf2_flag6==1:#or self.close_flag==1:#and imf2_open_flag!=2:
# #if ((imf2_flag==1 and imf2_or_flag!=2) or imf2_or_flag==1):# and len(self.imf_flag_list)>1 and self.imf_flag_list[-1]==1:#and imf2_or_flag!=2:# and imf1_flag==1:#and imf2_flag6==1:#or self.close_flag==1:#and imf2_open_flag!=2:
if imf2_flag==1 and imf1_flag!=2:#and imf1_flag==1:# and len(self.imf_flag_list)>1 and self.imf_flag_list[-1]==1:#and imf2_or_flag!=2:# and imf1_flag==1:#and imf2_flag6==1:#or self.close_flag==1:#and imf2_open_flag!=2:
# #if imf2_flag==1 and imf2_flag_open_flag!=2 and imf2_macd_flag!=2 and imf2_or_flag!=2:#and imf2_open_flag==1:#and (imf_process3[-1]<0 or imf_process[-1]<0) :#and (extenflag1+extenflag3)<3:#and imf2_open_flag!=2:
# # if (imf2_flag==1 and self.open_flag==1) or (imf2_flag==1 and imf2_macd_flag==1) or (imf2_macd_flag==1 and self.close_flag==1) or (imf2_macd_flag==1 and imf2_flag==1):#and imf2_macd_flag==1:#and power_de==1:#and imf3_flag==1:
decision=1
# #elif ((imf2_flag==1 and imf2_or_flag==11 ) or (imf2_or_flag==1)) and (imf0_flag==1) :#and imf2_flag6==1:#or self.close_flag==1:#and imf2_open_flag!=2:
# # decision=3
# #if (imf2_flag==2 or imf2_macd_flag==2) and imf2_or_flag==2 :#and imf2_open_flag!=2:
if imf2_flag==2 :#and imf2_open_flag==2 :
# #if (imf2_flag==2 and self.open_flag==2) or (imf2_flag==2 and imf2_open_flag==2) or (imf2_open_flag==2 and self.close_flag==2) :
# elif (imf2_flag==2 and imf2_or_flag!=2) or imf2_or_flag==2 :#and imf1_flag==2:#imf2_flag==2 and imf2_open_flag==2:
decision=2
#elif 0:#sel_flag==1:
# if imf1_flag==1 :
# decision=1
# elif imf1_flag==2 :
# decision=2
#
#self.imf_flag_list.append(imf2_flag)
#print "flaglist %s"%self.imf_flag_list[-5:]
#print "decision%s"%decision
return (decision,last_max,transfer_index)
#return (imf1_flag,last_max)
#return imf2_flag
##########################
###########################
def run_predict(self,imf_list,current_price_index,date,datafile,residual,emd_data,imf_open,imf_macd,emd_std,preflag,emd_data2):
(imf_close_flag,last_max,imf_min_index)=self.run_predict1(imf_list,current_price_index,date,datafile,residual,imf_open,imf_macd,2,emd_data,emd_data2)
(imf_high_flag,last_max,imf_min_index)=self.run_predict1(imf_open,current_price_index,date,datafile,residual,imf_open,imf_macd,2,emd_data,emd_data2)
#(imf_5_flag,last_max)=self.run_predict1(imf_macd,current_price_index,date,datafile,residual,imf_open,imf_macd)
#imf_high_flag=1
# last_max=1
self.snr.append(calc_SNR(emd_data,imf_list))
print "SNR%s"%self.snr[-10:]
imf_flag=0
deltama10 = self.ma(self.close_price, 10, 0, current_price_index)-self.ma(self.close_price, 10, -1, current_price_index)
deltama20 = self.ma(self.close_price, 20, 0, current_price_index)-self.ma(self.close_price, 20, -1, current_price_index)
deltama30 = self.ma(self.close_price, 30, 0, current_price_index)-self.ma(self.close_price, 30, -1, current_price_index)
deltama3 = self.ma(self.close_price, 3, 0, current_price_index)-self.ma(self.close_price, 3, -1, current_price_index)
deltama5 = self.ma(self.close_price, 5, 0, current_price_index)-self.ma(self.close_price, 5, -1, current_price_index)
#if (imf_close_flag==1):
#if self.buy_price==0 and (imf_close_flag==1 or (len(self.close_flag)>0 and (self.close_flag[-1]==1) ) or ( len(self.close_flag)>1 and self.close_flag[-1]!=2 and self.close_flag[-2]==1) or ( len(self.close_flag)>2 and self.close_flag[-3]==1 and self.close_flag[-1]!=2 and self.close_flag[-2]!=2) or (len(self.close_flag)>3 and (self.close_flag[-4]==1) and self.close_flag[-3]!=2 and self.close_flag[-2]!=2 and self.close_flag[-1]!=2)) :#and ((len(self.high_flag)>0 and self.high_flag[-1]==1) or imf_high_flag==1):
#if (self.last_fail==0 and imf_close_flag==1 ) or (self.last_fail==1 and imf_close_flag==1 and imf_high_flag!=2):#and (len(self.close_flag)>0 and (self.close_flag[-1]!=2) and (self.close_flag[-2]!=2) ) :#or ( len(self.close_flag)>1 and self.close_flag[-1]!=2 and self.close_flag[-2]==1) or ( len(self.close_flag)>2 and self.close_flag[-3]==1 and self.close_flag[-1]!=2 and self.close_flag[-2]!=2) or (len(self.close_flag)>3 and (self.close_flag[-4]==1) and self.close_flag[-3]!=2 and self.close_flag[-2]!=2 and self.close_flag[-1]!=2)) :#and ((len(self.high_flag)>0 and self.high_flag[-1]==1) or imf_high_flag==1):
#if imf_close_flag==1 and len(self.high_flag)>3 and (2 not in self.high_flag[-3:]):#or imf_high_flag==1:
m_d=0
if deltama10>0 and deltama5<0 and deltama3<0:
m_d=1
#if ( m_d==1 and imf_close_flag==1 and imf_high_flag==1) or (m_d==0 and self.last_fail==0 and imf_close_flag==1) :
if imf_close_flag==1:
#if self.buy_price==0 and (imf_close_flag==1 or imf_high_flag==1) :#or (imf_high_flag==1 and imf_close_flag!=2):
imf_flag=1
#if len(self.close_flag)>0 and self.close_flag[-1]==1 and imf_high_flag==1:
# imf_flag=1
#if imf_close_flag==1 and len(self.high_flag)>0 and self.high_flag[-1]==1:
# imf_flag=1
# if imf_high_flag==1 and (len(self.close_flag)>1 and ( self.close_flag[-1]!=2 and self.close_flag[-2]!=2 and imf_close_flag!=2)):
# imf_flag=1
if (imf_close_flag==2):# and imf_high_flag!=1) or (imf_high_flag==2 and imf_close_flag!=1):#and imf_high_flag==2:
#if (imf_close_flag==2 ) :#or (imf_high_flag==2 and imf_close_flag!=1):#and imf_high_flag==2:
imf_flag=2
self.close_flag.append(imf_close_flag)
self.high_flag.append(imf_high_flag)
print "imf flag %s %s"%(imf_close_flag,imf_high_flag)
print "imf flag %s"%imf_flag
print "high list%s"%self.high_flag[-5:]
print "close list%s"%self.close_flag[-5:]
######
ma5 = []
for i in range(7):
ma5.append(0)
#
for i in range(7,current_price_index+1):
mean_5 = np.mean(self.close_price[i-6:i+1])
ma5.append(mean_5)
print self.close_price[i]
print "ma5 %s"%ma5[-10:]
ma_max_index = list(argrelextrema(np.array(ma5[-500:]),np.greater)[0])
print " ma max index %s"%ma_max_index
ma_min_index = list(argrelextrema(np.array(ma5[-500:]),np.less)[0])
print " ma min index %s"%ma_min_index
print "last max%s"%last_max
ma5 = self.ma(self.close_price, 5, 0, current_price_index)
ma10 = self.ma(self.close_price, 10, 0, current_price_index)
ma20 = self.ma(self.close_price, 20, 0, current_price_index)
ma30 = self.ma(self.close_price, 30, 0, current_price_index)
ma60 = self.ma(self.close_price, 60, 0, current_price_index)
deltama5 = self.ma(self.close_price, 5, 0, current_price_index)-self.ma(self.close_price, 5, -1, current_price_index)
deltama5_before = self.ma(self.close_price, 5, -1, current_price_index)-self.ma(self.close_price, 5, -2, current_price_index)
ma_ex_de=0
#if (not (ma5>ma10>ma20>ma30 and deltama5>deltama5_before)) and ma_max_index[-1]>ma_min_index[-1] and ma_max_index[-1]>=496:#and len(ma5)-ma_min_index[-1]<=5 :#and ma_min_index[-1]-ma_max_index[-1]>=2:#and abs(ma_max_index[-1]-last_max)<2:
if ma_max_index[-1]>ma_min_index[-1] and ma_max_index[-1]>496 and ma_min_index[-1]>480 and ((ma_min_index[-1] in imf_min_index) or (ma_min_index[-1]-1 in imf_min_index) or (ma_min_index[-1]-2 in imf_min_index) or (ma_min_index[-1]+1 in imf_min_index) or (ma_min_index[-1]+2 in imf_min_index)):#and len(ma5)-ma_min_index[-1]<=5 :#and ma_min_index[-1]-ma_max_index[-1]>=2:#and abs(ma_max_index[-1]-last_max)<2:
ma_ex_de=2
if ma_max_index[-1]>ma_min_index[-1] and ma_max_index[-1]>496 and ma_min_index[-2]>480 and ((ma_min_index[-2] in imf_min_index) or (ma_min_index[-2]-1 in imf_min_index) or (ma_min_index[-2]-2 in imf_min_index) or (ma_min_index[-2]+1 in imf_min_index) or (ma_min_index[-2]+2 in imf_min_index)):#and len(ma5)-ma_min_index[-1]<=5 :#and ma_min_index[-1]-ma_max_index[-1]>=2:#and abs(ma_max_index[-1]-last_max)<2:
ma_ex_de=2
print "ma ex de%s"%ma_ex_de
#######
ma5 = self.ma(self.close_price, 5, 0, current_price_index)
ma5_before = self.ma(self.close_price, 5, -1, current_price_index)
deltama5 = self.ma(self.close_price, 5, 0, current_price_index)-self.ma(self.close_price, 5, -1, current_price_index)
deltama5_before = self.ma(self.close_price, 5, -1, current_price_index)-self.ma(self.close_price, 5, -2, current_price_index)
deltama5_before2 = self.ma(self.close_price, 5, -2, current_price_index)-self.ma(self.close_price, 5, -3, current_price_index)
deltama3 = self.ma(self.close_price, 3, 0, current_price_index)-self.ma(self.close_price, 3, -1, current_price_index)
deltama3_before = self.ma(self.close_price, 3, -1, current_price_index)-self.ma(self.close_price, 3, -2, current_price_index)
deltama3_before2 = self.ma(self.close_price, 3, -2, current_price_index)-self.ma(self.close_price, 3, -3, current_price_index)
deltama3_before3 = self.ma(self.close_price, 3, -3, current_price_index)-self.ma(self.close_price, 3, -4, current_price_index)
deltama9 = self.ma(self.close_price, 9, 0, current_price_index)-self.ma(self.close_price, 9, -1, current_price_index)
deltama10 = self.ma(self.close_price, 10, 0, current_price_index)-self.ma(self.close_price, 10, -1, current_price_index)
deltama9_before = self.ma(self.close_price, 9, -1, current_price_index)-self.ma(self.close_price, 9, -2, current_price_index)
deltama10_before = self.ma(self.close_price, 10, -1, current_price_index)-self.ma(self.close_price, 10, -2, current_price_index)
deltama9_before2 = self.ma(self.close_price, 9, -2, current_price_index)-self.ma(self.close_price, 9, -3, current_price_index)
ma3 = self.ma(self.close_price, 3, 0, current_price_index)
ma3_b = self.ma(self.close_price, 3, -1, current_price_index)
ma3_b2 = self.ma(self.close_price, 3, -2, current_price_index)
ma3_b3 = self.ma(self.close_price, 3, -3, current_price_index)
ma3_b4 = self.ma(self.close_price, 3, -4, current_price_index)
ma3_b5 = self.ma(self.close_price, 3, -5, current_price_index)
ma9 = self.ma(self.close_price, 9, 0, current_price_index)
ma10 = self.ma(self.close_price, 10, 0, current_price_index)
ma10_b = self.ma(self.close_price, 10, -1, current_price_index)
deltama10 = self.ma(self.close_price, 10, 0, current_price_index)-self.ma(self.close_price, 10, -1, current_price_index)
ma20 = self.ma(self.close_price, 25, 0, current_price_index)
deltama20 = self.ma(self.close_price, 20, 0, current_price_index)-self.ma(self.close_price, 20, -1, current_price_index)
deltama25 = self.ma(self.close_price, 25, 0, current_price_index)-self.ma(self.close_price, 25, -1, current_price_index)
deltama25_before = self.ma(self.close_price, 25, -1, current_price_index)-self.ma(self.close_price, 25, -2, current_price_index)
deltama25_before2 = self.ma(self.close_price, 25, -2, current_price_index)-self.ma(self.close_price, 25, -3, current_price_index)
deltama25_before3 = self.ma(self.close_price, 25, -3, current_price_index)-self.ma(self.close_price, 25, -9, current_price_index)
ma30 = self.ma(self.close_price, 30, 0, current_price_index)
ma60 = self.ma(self.close_price, 60, 0, current_price_index)
deltama30 = self.ma(self.close_price, 30, 0, current_price_index)-self.ma(self.close_price, 30, -1, current_price_index)
deltama60 = self.ma(self.close_price, 60, 0, current_price_index)-self.ma(self.close_price, 60, -1, current_price_index)
deltama60_b = self.ma(self.close_price, 60, -1, current_price_index)-self.ma(self.close_price, 60, -2, current_price_index)
deltama30_b = self.ma(self.close_price, 30, -1, current_price_index)-self.ma(self.close_price, 30, -2, current_price_index)
deltamacd10 = self.ma(self.macd, 10, 0, current_price_index)-self.ma(self.macd, 10, -1, current_price_index)
deltamacd20 = self.ma(self.macd, 20, 0, current_price_index)-self.ma(self.macd, 20, -1, current_price_index)
deltamacd10_b = self.ma(self.macd, 10, -1, current_price_index)-self.ma(self.macd, 10, -2, current_price_index)
deltamacd20_b = self.ma(self.macd, 20, -1, current_price_index)-self.ma(self.macd, 20, -2, current_price_index)
p = self.close_price[current_price_index-10:current_price_index+1]
print "current price%s"%self.close_price[current_price_index]
print p
print "cal %s"%((p[-4]+3*p[-3]+6*p[-2]+17*p[-1])/27.0)
print "mama3 %s %s"%(((ma3_b+ma3_b2+ma3_b3)/3.0),((ma3+ma3_b+ma3_b2)/3.0))
mama_decision=0
mama3 = (ma3+ma3_b+ma3_b2)/3.0
mama3_b = (ma3_b+ma3_b2+ma3_b3)/3.0
mama3_b2 = (ma3_b2+ma3_b3+ma3_b4)/3.0
mama3_b3 = (ma3_b3+ma3_b4+ma3_b5)/3.0
mamama3 = (mama3+mama3_b+mama3_b2)/3.0
mamama3_b = (mama3_b+mama3_b2+mama3_b3)/3.0
print "mamama3 %s %s"%(mamama3_b,mamama3)
if (mamama3>mamama3_b) and mama3>mama3_b:# or (mama3>mama3_b>mama3_b2 and mama3_b2<mama3_b3):
mama_decision=1
power_ma5_de=0
if self.close_price[current_price_index]-ma5>0 and self.close_price[current_price_index-1]-ma5_before<0:
power_ma5_de=1
if self.close_price[current_price_index]-ma3<0 and self.close_price[current_price_index-1]-ma3_b>0:
power_ma5_de=2
macdma5 = self.ma(self.macd, 5, 0, current_price_index)
macdma5_before = self.ma(self.macd, 5, -1, current_price_index)
macdma5_before2 = self.ma(self.macd, 5, -2, current_price_index)
macdma5_before3 = self.ma(self.macd, 5, -3, current_price_index)
deltamacdma5 = macdma5-macdma5_before
deltamacdma5_before = macdma5_before-macdma5_before2
deltamacdma5_before2 = macdma5_before2-macdma5_before3
print "deltamacd %s %s"%(deltamacdma5_before,deltamacdma5)
###################
current_price = self.close_price[current_price_index]
if ma5>ma10:
if self.ma_count<=0:
self.ma_count = 0
self.ma_count += 1
else:
self.ma_count += 1
else:
if self.ma_count>=0:
self.ma_count =0
self.ma_count -=1
else:
self.ma_count -=1
if ma10>ma20:
if self.ma_count2<=0:
self.ma_count2 = 0
self.ma_count2 += 1
else:
self.ma_count2 += 1
else:
if self.ma_count2>=0:
self.ma_count2 =0
self.ma_count2 -=1
else:
self.ma_count2 -=1
if current_price>ma5:
if self.ma_count1<=0:
self.ma_count1 = 0
self.ma_count1 += 1
else:
self.ma_count1 += 1
else:
if self.ma_count1>=0:
self.ma_count1 =0
self.ma_count1 -=1
else:
self.ma_count1 -=1
print "ma count1 %s count %s count2 %s"%(self.ma_count1,self.ma_count,self.ma_count2)
ma_de=1
if (deltama3_before>deltama3 and deltama3<0) :
ma_de=0
########
##############
pvma3=(emd_data[-1]+emd_data[-2]+emd_data[-3])/3.0
pvma5=(emd_data[-1]+emd_data[-2]+emd_data[-3]+emd_data[-4]+emd_data[-5])/5.0
pvma5_before=(emd_data[-6]+emd_data[-2]+emd_data[-3]+emd_data[-4]+emd_data[-5])/5.0
pvma5_before2=(emd_data[-7]+emd_data[-6]+emd_data[-3]+emd_data[-4]+emd_data[-5])/5.0
pvma3_before=(emd_data[-2]+emd_data[-3]+emd_data[-4])/3.0
pvma3_before2=(emd_data[-3]+emd_data[-4]+emd_data[-5])/3.0
pvma10=np.mean(emd_data[-10:])
pvma10_before=np.mean(emd_data[-11:-1])
pvma10_before2=np.mean(emd_data[-12:-2])
pvdeltama10=pvma10-pvma10_before
pvdeltama10_before=pvma10_before-pvma10_before2
pvdeltama3=pvma3-pvma3_before
pvdeltama3_before=pvma3_before-pvma3_before2
pvpower_de=0
if emd_data[-1]-pvma3>0 and emd_data[-2]-pvma3_before<0 and pvdeltama3<0:
pvpower_de=1
print "pv ma3 %s %s %s"%(pvma3_before2,pvma3_before,pvma3)
print "pv ma5 %s %s %s"%(pvma5_before2,pvma5_before,pvma5)
print "pv ma10 %s %s %s"%(pvma10_before2,pvma10_before,pvma10)
print "pv deltama10 %s %s"%(pvdeltama10_before,pvdeltama10)
print "pv deltama3 %s %s"%(pvdeltama3_before,pvdeltama3)
print "pv %s"%emd_data[-10:]
############
print "ma5 %s"%ma5
print "delta ma5 %s %s"%(deltama5_before,deltama5)
print "delta ma3 before %s"%deltama3_before
print "delta ma3 %s"%deltama3
print "delta ma9 before %s %s"%(deltama9_before,deltama9)
print "ma3 %s"%ma3
print "ma9 %s"%ma9
print "ma10 %s"%ma10
print "delta ma10 %s"%deltama10
print "ma20 %s"%ma20
print "delta ma20 %s"%deltama20
print "delta ma25 %s"%deltama25
print "ma30 %s"%ma30
print "ma60 %s"%ma60
print "delta ma30 %s"%deltama30
if self.buy_price==0:
trade_price = self.open_price[current_price_index+1]+0.1
if trade_price>self.high_price[current_price_index+1]:
trade_price = self.close_price[current_price_index+1]
else:
trade_price = self.open_price[current_price_index+1]-0.1
if trade_price<self.low_price[current_price_index+1]:
trade_price = self.close_price[current_price_index+1]
print "date %s"%self.date[current_price_index]
print "current price %s %s %s %s"%(self.open_price[current_price_index],self.high_price[current_price_index],self.low_price[current_price_index],self.close_price[current_price_index])
print "next price %s %s %s %s"%(self.open_price[current_price_index+1],self.high_price[current_price_index+1],self.low_price[current_price_index+1],self.close_price[current_price_index+1])
print "trade price %s"%trade_price
print "buy price %s"%self.buy_price
current_mean_price = self.ma(self.close_price, 5, 0, current_price_index)
print "buy mean%s current mean%s"%(self.buy_mean_price,current_mean_price)
#######
print "fail flag %s"%self.fail_flag
#if self.snr[-1]<np.mean(self.snr[-20:]) and self.snr[-1]<np.mean(self.snr[-5:]):
if self.one_time_day>0:
self.one_time_day+=1
distance_decision = 1
if len(self.sell_x_index)>0 and current_price_index-self.sell_x_index[-1]<3:
distance_decision = 0
distance_decision2 = 1
if len(self.buy_x_index)>0 and current_price_index-self.buy_x_index[-1]<3:
distance_decision2 = 0
distance_decision3 = 1
if len(self.buy_x_index)>0 and current_price_index-self.buy_x_index[-1]<1:
distance_decision2 = 0
if ((self.sell_flag==2 and imf_flag!=2) or (self.sell_flag==2 and imf_flag==2 and current_price<self.close_price[current_price_index-1])) and self.buy_price!=0:
self.sell_flag2=2
emd_de=0
if emd_data[-1]-emd_data[-2]>0 and (emd_data[-2]-emd_data[-3])<0:
emd_de=1
if emd_data[-1]-emd_data[-2]>0 and (emd_data[-2]-emd_data[-3])>0 and (emd_data[-3]-emd_data[-4])<0:
emd_de=1
if emd_data[-1]-emd_data[-2]>0 and (emd_data[-2]-emd_data[-3])>0 and (emd_data[-3]-emd_data[-4])>0 and (emd_data[-4]-emd_data[-5])<0:
emd_de=1
if emd_data[-1]-emd_data[-2]>0 and (emd_data[-2]-emd_data[-3])>0 and (emd_data[-3]-emd_data[-4])>0 and (emd_data[-4]-emd_data[-5])>0 and (emd_data[-5]-emd_data[-6])>0:
emd_de=1
if min(emd_data[-5:])>0:
emd_de=0
#######
use_boll=0
qu_de=0
pivot=(self.high_price[current_price_index-1]+self.low_price[current_price_index-1]+self.close_price[current_price_index-1])/3.0
res1=2*pivot-self.low_price[current_price_index-1]
sup1=2*pivot-self.high_price[current_price_index-1]
if sup1<current_price<res1:
use_boll=1
elif current_price>res1:
qu_de=1
########
ma5_list=[]
for i in range(3):
ma5_list.append(0)
for i in range(3,len(self.close_price)):
ma5_list.append(np.mean(self.close_price[i-2:i+1]))
tmp=self.close_price
self.close_price=ma5_list
current_price=self.close_price[current_price_index]
period=5
k1=1
k2=1
boll_de=0
boll_high1 = k2*np.std(self.close_price[current_price_index-period:current_price_index+1])+np.mean(self.close_price[current_price_index-period:current_price_index+1])
boll_high1_b = k2*np.std(self.close_price[current_price_index-period-1:current_price_index])+np.mean(self.close_price[current_price_index-period-1:current_price_index])
boll_high1_b2 = k2*np.std(self.close_price[current_price_index-period-2:current_price_index-1])+np.mean(self.close_price[current_price_index-period-2:current_price_index-1])
boll_low1 = k1*(-np.std(self.close_price[current_price_index-period:current_price_index+1]))+np.mean(self.close_price[current_price_index-period:current_price_index+1])
boll_low1_b = k1*(-np.std(self.close_price[current_price_index-period-1:current_price_index]))+np.mean(self.close_price[current_price_index-period-1:current_price_index])
boll_low1_b2 = k1*(-np.std(self.close_price[current_price_index-period-2:current_price_index-1]))+np.mean(self.close_price[current_price_index-period-2:current_price_index-1])
period1=20
boll_high2 = 3*(np.std(self.close_price[current_price_index-period1:current_price_index+1]))+np.mean(self.close_price[current_price_index-period1:current_price_index+1])
boll_low2 = 2*(-np.std(self.close_price[current_price_index-period1:current_price_index+1]))+np.mean(self.close_price[current_price_index-period1:current_price_index+1])
if current_price<boll_low1:
if deltama20<0:
boll_de=2
else:
boll_de=1
elif current_price>boll_high1:
if deltama20<0:
boll_de=1
else:
boll_de=2
boll_de=0
if current_price>boll_high1 :#and current_price>boll_low2:
boll_de=2
elif current_price<boll_low1 :#and :
boll_de=1
#boll_de=0
#if self.close_price[current_price_index-1]<boll_low1_b and current_price>boll_low1:
# boll_de=1
####if self.close_price[current_price_index-1]<boll_high1_b and current_price>boll_high1:
#### boll_de=1
##if self.close_price[current_price_index-1]>boll_low1_b and current_price<boll_low1:
## boll_de=2
#if self.close_price[current_price_index-1]>boll_high1_b and current_price<boll_high1:
# boll_de=2
print "low1 low2%s %s"%(boll_low1,boll_low2)
print "current %s"%current_price
print "width %s"%(boll_high1-boll_low1)
print "widthb %s"%(boll_high1_b-boll_low1_b)
print "widthb2 %s"%(boll_high1_b2-boll_low1_b2)
self.close_price=tmp
current_price=self.close_price[current_price_index]
width_b2=boll_high1_b2-boll_low1_b2
width_b1=boll_high1_b-boll_low1_b
width=boll_high1-boll_low1
mean1=(width+width_b1)/2.0
mean2=(width_b1+width_b2)/2.0
down_de=1
if mean1<mean2 and deltama10>10 and deltama20>0 :#and (deltama3<deltama3_before and deltama3<0) and deltama30>0:
down_de=0
ma_de=1
if ma5<ma10<ma20<ma30:
ma_de=0
print "boll %s"%boll_de
decision=0
if use_boll==1 and boll_de==1:
decision=1
#if use_boll==1 and boll_de==2:
# decision=2
#if use_boll==0 and qu_de==1:
# decision=1
print "imf flag %s"%imf_flag
#####
current_k=self.kdjk[current_price_index+1]
before_k=self.kdjk[current_price_index]
before_k2=self.kdjk[current_price_index-1]
current_d=self.kdjd[current_price_index+1]
before_d=self.kdjd[current_price_index]
print "k %s %s %s"%(before_k2,before_k,current_k)
print "d %s %s"%(before_d,current_d)
kdj_de=0
#if before_k<before_d and current_k>current_d:
#if ((current_k+before_k)/2.0)<35 :#and (current_k-before_k)>(before_k-before_k2):#and current_k>current_d:
if current_k>before_k:
kdj_de=1
print "kdj_de %s"%kdj_de
print "wr%s"%self.wr[current_price_index-5:current_price_index+1]
print "current_price_index%s"%current_price_index
######
ma_list=[deltama20,deltama25,deltama30,deltama60]
mac=0
for i in ma_list:
if i>0:
mac+=1
if mac>=2:
ma_decision=1
else:
ma_decision=0
####
wrma3=(self.wr[current_price_index]+self.wr[current_price_index-1]+self.wr[current_price_index-2])/3.0
wr_de=0
#if self.wr[current_price_index]>50 and self.wr[current_price_index]<self.wr[current_price_index-1]:
#if wrma3>60:
if wrma3>60:
wr_de=1
####
if wr_de==1 and self.buy_price==0 and (boll_de==1 ) and imf_flag==1:
self.f_d=1
elif self.buy_price!=0:
self.f_d=0
######
if self.fail_flag==1:
if deltama60>0 and deltama20>0:
self.fail_flag=0
print "macd %s"%self.macd[current_price_index-10:current_price_index+1]
#if self.buy_price!=0 and imf_flag!=1 and (imf_flag==2 or (deltama5<0 and deltama5_before>0) or (deltama3<0 and deltama3_before>0)) and distance_decision2==1:
print "emd %s"%np.std(emd_data[-31:-1])
print "emd %s"%np.std(emd_data[-30:])
std_de=0
if np.std(emd_data[-30:])>0.5:
std_de=1
#if self.buy_price!=0 and ( (deltama5_before2>deltama5_before>deltama5 )) and ((current_price-self.buy_price)/self.buy_price)>0.01:
flag_fail=1
print "ma decision%s"%ma_decision
if self.buy_price!=0 and (boll_de==2 ) :#(imf_flag==2) and deltama3<deltama3_before :# ((current_price-self.buy_price)/self.buy_price)>0.01:#((deltamacd10<0 and deltamacd10_b>0) ) and ((current_price-self.buy_price)/self.buy_price)>0.01:#(current_price<ma5 )and distance_decision2==1 and ((current_price-self.buy_price)/self.buy_price)>0.01:
#if self.buy_price!=0 and deltama5<0:
#if self.buy_price!=0 and self.macd[current_price_index]<self.macd[current_price_index-1]<self.macd[current_price_index-2] and distance_decision2==1:
#if self.buy_price!=0 and deltama3_before>0 and deltama3<0 and distance_decision2==1 :#and current_price-self.buy_price>0:#emd_data[-1]<emd_data[-2] and emd_data[-2]>emd_data[-3] :#mama3<mama3_b and mama3_b>mama3_b2 and current_price-self.buy_price>0 and self.buy_price!=0:
if 1:#self.fail_flag==0:
print "sell sell 1"
self.money = self.sell(self.share,trade_price)
self.share = 0
self.total_asset = self.money - self.sell_fee(self.money)
self.money = self.total_asset
self.sell_x_index.append(current_price_index)
self.sell_y_index.append(current_price)
if self.buy_price>=trade_price:
self.fail_flag=0#+=flag_fail
else:
self.fail_flag=0
self.last_fail=0
self.buy_price = 0
self.buy_mean_price = 0
self.one_time_day=0
self.sell_flag=0
self.sell_flag2=0
else:
if self.buy_price>=trade_price:
self.fail_flag=1
else:
self.fail_flag=0
self.buy_price=0
print "sellsell 1"
elif 0:#self.buy_price!=0 and ma3<boll_low1 and distance_decision2==1:#((((self.buy_mean_price-current_mean_price)/self.buy_mean_price)>0.01 ) ) and self.share > 0 and np.mean(self.snr[-3:])<np.mean(self.snr[-4:-1]): #and (self.buy_price-current_price)<0 and self.share > 0:
print "sell sell 2"
if self.fail_flag==0:
if self.buy_price>trade_price:
self.fail_flag=flag_fail
else:
self.fail_flag=0
self.money = self.sell(self.share,trade_price)
self.share = 0
self.buy_price = 0
self.total_asset = self.money - self.sell_fee(self.money)
self.money = self.total_asset
self.sell_x_index.append(current_price_index)
self.sell_y_index.append(current_price)
self.buy_mean_price = 0
self.one_time_day=0
self.sell_flag=0
self.sell_flag2=0
else:
if self.buy_price>=trade_price:
self.fail_flag=1
else:
self.fail_flag=0
print "sellsell 1"
self.buy_price=0
elif self.buy_price!=0 and ((((self.buy_price-current_price)/self.buy_price)>0.05 ) ) :#and self.share > 0 :
print "sell sell 4"
if 1:#self.fail_flag==0:
if self.buy_price>=trade_price:
self.fail_flag+=flag_fail
self.last_fail=1
else:
self.fail_flag=0
self.last_fail=0
self.money = self.sell(self.share,trade_price)
self.share = 0
self.buy_price = 0
self.total_asset = self.money - self.sell_fee(self.money)
self.money = self.total_asset
self.sell_x_index.append(current_price_index)
self.sell_y_index.append(current_price)
self.buy_mean_price = 0
self.one_time_day=0
self.sell_flag=0
self.sell_flag2=0
else:
if self.buy_price>=trade_price:
self.fail_flag=1
else:
self.fail_flag=0
print "sellsell 1"
self.buy_price=0
elif 0:# self.buy_price!=0 and self.one_time_day>10 and imf_flag==2 and self.share > 0 and np.mean(self.snr[-3:])<np.mean(self.snr[-4:-1]):
print "sell sell 3"
if self.buy_price>=trade_price:
self.fail_flag=1
else:
self.fail_flag=0
self.money = self.sell(self.share,trade_price)
self.share = 0
self.buy_price = 0
self.total_asset = self.money - self.sell_fee(self.money)
self.money = self.total_asset
self.sell_x_index.append(current_price_index)
self.sell_y_index.append(current_price)
self.buy_mean_price = 0
self.one_time_day=0
self.sell_flag=0
self.sell_flag2=0
#elif imf_flag==1 and self.buy_price==0 and snr_decision==1 and distance_decision==1 and deltama5_before<deltama5 :#and ma_decision==1 :#and distance_decision==1:#deltama3_before<deltama3:# (deltama3_before>deltama3 or deltama3<0):
elif ( std_de==1 and self.f_d==1 and kdj_de==1 and distance_decision==1 and self.fail_flag==0 and (ma_decision==0 )) or ( ma_ex_de!=2 and std_de==1 and imf_flag==1 and boll_de==1 and ma_decision==1 and distance_decision==1 and self.buy_price==0):#and deltamacdma5_before<deltamacdma5:#:and deltama30>0:#emd_de==1 and (deltama3>0) and deltama10>0:# and deltama30<0 and deltama10>0) :#deltama3_before :#and mamama3>mamama3_b :#and mama3_b2<mama3_b3:#and self.macd[current_price_index]>self.macd[current_price_index-1] :#and self.macd[current_price_index-3]>self.macd[current_price_index-2] :#and deltamacdma5_before<deltamacdma5 and deltamacdma5_before<deltamacdma5_before2:#and pvpower_de==1 :#emd_data[-1]>emd_data[-2] and emd_data[-2]<emd_data[-3]:#self.close_price[current_price_index]>self.close_price[current_price_index-1]:#and (deltama3_before<deltama3 and deltama3_before<0 and deltama3>0) :#and ma_ex_de==1:#and distance_decision==1 and deltama3_before<deltama3 and deltama3_before<deltama3_before2 :#and deltama3_before2<deltama3_before3 :#and ma_ex_de==1:# and distance_decision==1 :# and self.close_price[current_price_index]>self.close_price[current_price_index-1]:#deltama3_before<deltama3:#self.macd[current_price_index-1]<self.macd[current_price_index] :#and (self.macd[current_price_index-2]<0 or self.macd[current_price_index-1]<0 or self.macd[current_price_index]<0):#and deltama5>=0 :#and deltama3_before<deltama3 ) or (deltama3>0 and deltama3_before<0)):# and mama3>mama3_b and mama3_b<mama3_b2 and distance_decision==1:#and deltama5<0:#and self.close_price[current_price_index]>self.close_price[current_price_index-1] and deltama5_before<deltama5<0: #and deltama3_before<0 and deltama3>0 and deltama5_before<deltama5<0:#and ma_decision==1 :#and distance_decision==1:#deltama3_before<deltama3:# (deltama3_before>deltama3 or deltama3<0):
#elif ( (imf_flag==1 ) ) :#and self.buy_price==0 and deltama3>deltama3_before :#and deltama3>deltama3_before:#and pvpower_de==1 :#emd_data[-1]>emd_data[-2] and emd_data[-2]<emd_data[-3]:#self.close_price[current_price_index]>self.close_price[current_price_index-1]:#and (deltama3_before<deltama3 and deltama3_before<0 and deltama3>0) :#and ma_ex_de==1:#and distance_decision==1 and deltama3_before<deltama3 and deltama3_before<deltama3_before2 :#and deltama3_before2<deltama3_before3 :#and ma_ex_de==1:# and distance_decision==1 :# and self.close_price[current_price_index]>self.close_price[current_price_index-1]:#deltama3_before<deltama3:#self.macd[current_price_index-1]<self.macd[current_price_index] :#and (self.macd[current_price_index-2]<0 or self.macd[current_price_index-1]<0 or self.macd[current_price_index]<0):#and deltama5>=0 :#and deltama3_before<deltama3 ) or (deltama3>0 and deltama3_before<0)):# and mama3>mama3_b and mama3_b<mama3_b2 and distance_decision==1:#and deltama5<0:#and self.close_price[current_price_index]>self.close_price[current_price_index-1] and deltama5_before<deltama5<0: #and deltama3_before<0 and deltama3>0 and deltama5_before<deltama5<0:#and ma_decision==1 :#and distance_decision==1:#deltama3_before<deltama3:# (deltama3_before>deltama3 or deltama3<0):
if 0:#self.fail_flag!=0:
#self.fail_flag-=1
self.buy_price=trade_price
print "buy buy 2"
else:
print "buy buy 1"
self.share = self.buy(self.money,trade_price)
self.money = 0
self.buy_price = trade_price
self.buy_mean_price = current_mean_price
self.total_asset = self.share*trade_price
self.buy_x_index.append(current_price_index)
self.buy_y_index.append(current_price)
self.one_time_day=1
self.last_buy_result=0
elif 0:#self.fail_flag!=0 and ( (imf_flag==1 ) ) and self.buy_price==0 and deltama5>deltama5_before and deltama3>deltama3_before and distance_decision==1 :#and pvpower_de==1 :#emd_data[-1]>emd_data[-2] and emd_data[-2]<emd_data[-3]:#self.close_price[current_price_index]>self.close_price[current_price_index-1]:#and (deltama3_before<deltama3 and deltama3_before<0 and deltama3>0) :#and ma_ex_de==1:#and distance_decision==1 and deltama3_before<deltama3 and deltama3_before<deltama3_before2 :#and deltama3_before2<deltama3_before3 :#and ma_ex_de==1:# and distance_decision==1 :# and self.close_price[current_price_index]>self.close_price[current_price_index-1]:#deltama3_before<deltama3:#self.macd[current_price_index-1]<self.macd[current_price_index] :#and (self.macd[current_price_index-2]<0 or self.macd[current_price_index-1]<0 or self.macd[current_price_index]<0):#and deltama5>=0 :#and deltama3_before<deltama3 ) or (deltama3>0 and deltama3_before<0)):# and mama3>mama3_b and mama3_b<mama3_b2 and distance_decision==1:#and deltama5<0:#and self.close_price[current_price_index]>self.close_price[current_price_index-1] and deltama5_before<deltama5<0: #and deltama3_before<0 and deltama3>0 and deltama5_before<deltama5<0:#and ma_decision==1 :#and distance_decision==1:#deltama3_before<deltama3:# (deltama3_before>deltama3 or deltama3<0):
if 0:#self.fail_flag!=0:
self.fail_flag-=1
else:
print "buy buy 1"
self.share = self.buy(self.money,trade_price)
self.money = 0
self.buy_price = trade_price
self.buy_mean_price = current_mean_price
self.total_asset = self.share*trade_price
self.buy_x_index.append(current_price_index)
self.buy_y_index.append(current_price)
self.one_time_day=1
self.last_buy_result=0
if self.buy_price!=0:
self.buy_day += 1
if imf_flag==2:
self.sell_flag=2
else:
self.sell_flag=0
print "buy day%s"%self.buy_day
self.day_count+=1
if self.day_count%100==0:
self.hb.append(float(self.total_asset-self.last_as)/self.last_as)
self.last_as=self.total_asset
print "hb %s"%self.hb
self.total_asset_list.append(self.total_asset)
print "total asset is %s"%(self.total_asset)
print "money is %s"%(self.money)
print "share is %s"%(self.share)
def format_data(self, data):
if isinstance(data,list):
return [2*((float(data[i])-min(data))/(max(data)-float(min(data))))-1 for i in range(len(data))]
def run(self,emd_data, datafile,current_index,date,emd_file,emd_data2,emd_data3,preflag):
starttime = datetime.datetime.now()
tmp = [i for i in emd_data]
emd_data = tmp
print "\n\n\n"
print "emd data std %s"%(np.std(emd_data[-20:])/(np.mean(emd_data[-20:])))
print "emd data %s"%emd_data[-10:]
my_emd = one_dimension_emd(emd_data,3)
(imf, residual) = my_emd.emd(0.03,0.03)
#my_emd2 = one_dimension_emd(emd_data2,3)
#(imf_open, residual) = my_emd2.emd(0.03,0.03)
# my_emd3 = one_dimension_emd(emd_data3,9)
# (imf_macd, residual) = my_emd3.emd(0.03,0.03)
print "len imf %s"%len(imf)
imf_open=imf
imf_macd=imf_open
std = (np.std(emd_data[-30:])/(np.mean(emd_data[-30:])))
self.emdstd.append(std)
print "emdstd%s"%self.emdstd[-10:]
if len(self.emdstd)>10:
print "stdma3 %s %s"%(np.mean(self.emdstd[-10:-5]),np.mean(self.emdstd[-5:]))
self.run_predict(imf,current_index,date,datafile,residual,emd_data,imf_open,imf_macd,std,preflag,emd_data2)
endtime = datetime.datetime.now()
print "run time"
print (endtime - starttime).seconds
def ma(self, data, period, start, current_index):
sum_period = 0
for i in range(period):
sum_period += data[current_index + start - i]
return float(sum_period)/period
def show_sharp(self):
print "sharp %s"%(np.mean(self.hb)/np.std(self.hb))
def show_success(self):
print success_ratio(precondition(self.total_asset_list))
def show_stat(self):
print income_mean_std(precondition(self.total_asset_list))
def show_rss(self):
profit_smooth(self.total_asset_list)
def draw_fig(self,datafile,start,save=0):
data = self.vol
pv2=[self.close_price[i]*self.vol[i] for i in range(len(self.close_price))]
pv = pvpv(self.close_price,self.vol)
####
maa5 = []
for i in range(60):
maa5.append(0)
#
for i in range(60,len(data)):
mean_5 = np.mean(self.close_price[i-59:i+1])
maa5.append(mean_5)
#
#
data = maa5
maa5 = []
for i in range(3):
maa5.append(0)
#
for i in range(3,len(data)):
mean_5 = np.mean(data[i-2:i+1])
maa5.append(mean_5)
###
ma5 = []
for i in range(5):
ma5.append(0)
#
for i in range(5,len(data)):
mean_5 = np.mean(self.close_price[i-4:i+1])
ma5.append(mean_5)
#
#
#
data = ma5
data = self.close_price
my_emd = one_dimension_emd(data)
(imf, residual) = my_emd.emd(0.1,0.1)
imf = imf[2]
print "stdimf%s"%self.stdimf
imf_buy_value = [imf[i] for i in self.buy_x_index]
imf_sell_value = [imf[i] for i in self.sell_x_index]
buy_x = [i-start for i in self.buy_x_index]
sell_x = [i-start for i in self.sell_x_index]
data1 = ma5
data = self.close_price
data2= maa5
plt.figure(1)
plt.subplot(411).axis([start,len(data),min(data[start:]),max(data[start:])])
plt.plot([i for i in range(len(data))],data,'o',[i for i in range(len(data))],data,'b',self.buy_x_index,self.buy_y_index,'r*',self.sell_x_index,self.sell_y_index,'g*')
plt.subplot(412).axis([start,len(data),min(data1[start:]),max(data1[start:])])
plt.plot([i for i in range(len(data1))],data1,'o',[i for i in range(len(data1))],data1,'b')
plt.subplot(413).axis([start,len(data),min(data2[start:]),max(data2[start:])])
plt.plot([i for i in range(len(data2))],data2,'o',[i for i in range(len(data2))],data2,'b')
plt.subplot(414).axis([start,len(imf),min(imf[start:]),max(imf[start:])])
plt.plot([i for i in range(len(imf))],imf,'o',[i for i in range(len(imf))],imf,'b',self.buy_x_index,imf_buy_value,'r*',self.sell_x_index,imf_sell_value,'g*')
#####
#####
asset_list=[]
x_spline_asset=[]
for i in range(1,len(self.total_asset_list)):
if abs(self.total_asset_list[i]-self.total_asset_list[i-1])>10:
x_spline_asset.append(i)
asset_list.append(self.total_asset_list[i])
spline_asset = linerestruct(x_spline_asset,asset_list)
plt.figure(2)
plt.plot([i for i in range(len(self.total_asset_list))],self.total_asset_list,'b',x_spline_asset,spline_asset,'r')
plt.show()
def format_data(data):
if isinstance(data,list):
return [10*((float(data[i])-min(data))/(max(data)-float(min(data)))) for i in range(len(data))]
def pvpv(l1,l2):
pv=[l1[0]*l2[0]]
for i in range(1,len(l1)):
if l1[i]>=l1[i-1]:
pv.append(pv[i-1]+l1[i]*l2[i])
else:
pv.append(pv[i-1]-l1[i]*l2[i])
return pv
def wr_func(c,h,l,n):
wr=[]
for i in range(n):
wr.append(0)
for i in range(n,len(c)):
cn=c[i]
print "wri %s"%i
print cn
hn=max(h[i-(n):i+1])
ln=min(l[i-(n):i+1])
wr.append(100*(hn-cn)/(hn-ln))
return wr
def kdj_func(c,h,l,n):
k=[]
d=[]
for i in range(n-2):
k.append(0)
d.append(0)
k.append(50)
d.append(50)
for i in range(n-1,len(c)):
cn=c[i-1]
print "i%s"%i
print "cn%s"%cn
print i-n+1
print i
hn=max(h[i-(n-1):i])
print h[i-(n-1):i]
print l[i-(n-1):i]
print hn
ln=min(l[i-(n-1):i])
print ln
print (float(cn-ln)/(hn-ln))
print (2/3.0)*k[-1]
rsv=100*(float(cn-ln)/(hn-ln))
print rsv
print (1/3.0)*rsv
print "k%s"%k[-5:]
print "d%s"%d[-5:]
k.append((2/3.0)*k[-1]+(1/3.0)*rsv)
d.append((2/3.0)*d[-1]+(1/3.0)*k[-1])
return (k,d)
def ma_func(data, period, start, current_index):
sum_period = 0
for i in range(period):
sum_period += data[current_index + start - i]
return float(sum_period)/period
if __name__ == "__main__":
datafile = sys.argv[1]
begin = int(sys.argv[2])
fp = open(datafile)
lines = fp.readlines()
fp.close()
close_price = []
open_price = []
high_price = []
low_price = []
date = []
macd = []
vol = []
je = []
for eachline in lines:
eachline.strip()
close_price.append(float(eachline.split("\t")[4]))
high_price.append(float(eachline.split("\t")[2]))
low_price.append(float(eachline.split("\t")[3]))
macd.append(float(eachline.split("\t")[5]))
open_price.append(float(eachline.split("\t")[1]))
date.append(eachline.split("\t")[0])
vol.append(float(eachline.split("\t")[5]))
je.append(float(eachline.split("\t")[5]))
(k,d)=kdj_func(close_price,high_price,low_price,5)
wr=wr_func(close_price,high_price,low_price,10)
process = process_util(open_price,close_price,macd,date,vol,high_price,low_price,je,k,d,wr)
emd_dir = os.path.abspath('.')+"/"+"emd_data"
print emd_dir
os.popen("rm -r %s"%emd_dir)
os.popen("mkdir %s"%emd_dir)
generate_emd_func = generateEMDdata(datafile,begin,1000,emd_dir)
#generate_emd_func.generate_machao_emd_data_fix(3)
generate_emd_func.generate_ma_emd_data_fix(5)
#generate_emd_func.generate_emd_data_fix()
###
period=2
#close_price=[j*10 for j in macd]
pv=[close_price[i]*vol[i] for i in range(len(close_price))]
pv = pvpv(close_price,vol)
ma = []
for ii in range(period):
ma.append(0)
for ii in range(period,len(close_price)):
ma.append(np.mean(close_price[ii-(period-1):ii+1]))
ma2 = []
for ii in range(period):
ma2.append(0)
for ii in range(period,len(close_price)):
ma2.append(np.mean(ma[ii-(period-1):ii+1]))
# data=ma
# for ii in range(period):
# ma.append(0)
# for ii in range(period,len(close_price)):
# ma.append(np.mean(data[ii-(period-1):ii+1]))
period1=5
maa = []
for ii in range(period1):
maa.append(0)
for ii in range(period,len(close_price)):
maa.append(np.mean(close_price[ii-(period1-1):ii+1]))
z=[(high_price[i]+low_price[i]+2*close_price[i])/4.0 for i in range(len(close_price))]
z=[ i*3 for i in close_price]
z2=[ i*10 for i in close_price]
z=[ma[i] for i in range(len(close_price))]
m=[p*100 for p in macd]
pv = pvpv(close_price,vol)
pv2=[close_price[i]*vol[i] for i in range(len(close_price))]
###
presnr=[]
presnr2=[]
for i in range(begin,begin+int(process.file_count(emd_dir))-1):
print "\n\nemd file %s"%i
####
print "close price%s"%close_price[-1]
print "close price%s"%close_price[i]
#####
#pre_emd_data=close_price[i-200:i]
#print "std emd%s"%np.std(close_price[i-30:i])
#my_emd = one_dimension_emd(pre_emd_data)
#(imf, residual) = my_emd.emd(0.01,0.01)
#presnr.append(calc_SNR(pre_emd_data,imf)[0])
#my_emd2 = one_dimension_emd(z[i-200:i])
#(imf, residual) = my_emd2.emd(0.01,0.01)
#presnr2.append(calc_SNR(z[i-200:i],imf)[0])
pre_flag=0
##if np.mean(presnr[-3:])>np.mean(presnr[-6:-3]):
#if len(presnr)>1 and (presnr[-1])>(presnr[-2]):
##if presnr[-1]>10 or presnr2[-1]>10:
# pre_flag=1
print "presnr%s"%presnr[-10:]
print "presnr%s"%presnr2[-10:]
emd_data = ma[i-1000:i]
emd_data2 = open_price[i-1000:i]
emd_data3 = macd[i-1000:i]
emd_data = close_price[i-1000:i]
emd_data = [j for j in emd_data]
#emd_data = ma2[i-1000:i]
emd_data = ma[i-1000:i]
emd_data2 = ma2[i-1000:i]
emd_data = close_price[i-1000:i]
emd_data = z[i-1000:i]
emd_data2 = close_price[i-1000:i]
emd_data3 = z2[i-1000:i]
emd_data = close_price[i-1000:i]
emd_data2 = ma[i-1000:i]
emd_data = pv2[i-1000:i]
emd_data = ma[i-1000:i]
emd_data2 =maa[i-100:i]
emd_data = close_price[i-500:i]
ma5 = ma_func(close_price, 5, 0, i-1)
ma10 = ma_func(close_price, 10, 0, i-1)
ma20 = ma_func(close_price, 20, 0, i-1)
ma30 = ma_func(close_price, 30, 0, i-1)
print "ma%s %s %s %s"%(ma5,ma10,ma20,ma30)
if 0:#ma5<ma10<ma20<ma30:
emd_data = ma[i-500:i]
else:
emd_data=(close_price[i-500:i])
emd_data2 = ma[i-500:i]
emd_file = "%s/emd_%s"%(emd_dir,i)
print "len emddata%s"%len(emd_data)
###
####
process.run(emd_data,datafile,i-1,date[-1],emd_file,emd_data2,emd_data3,pre_flag)
process.show_success()
process.show_stat()
# process.show_rss()
process.show_sharp()
process.draw_fig(datafile,begin)
| [
"[email protected]"
] | |
dda22826a3fe9a31734e8493f8266e7652b50549 | 5c6a1c0d7fc61c13f3c5b370f4c07542ddfbb582 | /others/ODES/orbit_adaptive.py | c0f442686a2211dd2f07d297c6eea1163c5a2d34 | [
"Apache-2.0"
] | permissive | hbcbh1999/Numerical-Methods-for-Physics | 7afab39eb3171ce22ebbad8bdced8d9e0a263607 | 77c41fdf6184fe15fd6b897c3472f2bc00e4347c | refs/heads/master | 2021-01-12T01:28:40.519633 | 2014-03-20T15:32:37 | 2014-03-20T15:32:37 | 78,389,812 | 6 | 4 | null | 2017-01-09T03:19:33 | 2017-01-09T03:19:32 | null | UTF-8 | Python | false | false | 7,089 | py | # orbital motion. We consider low mass objects orbiting the Sun. We
# work in units of AU, yr, and solar masses. From Kepler's third law:
#
# 4 pi**2 a**3 = G M P**2
#
# if a is in AU, P is in yr, and M is in solar masses, then
#
# a**3 = P**2
#
# and therefore
#
# 4 pi**2 = G
#
# we work in coordinates with the Sun at the origin
#
# This version implements adaptive timestepping
#
# M. Zingale (2013-02-19)
import math
import numpy
# global parameters
GM = 4.0*math.pi**2 #(assuming M = 1 solar mass)
# adaptive timestepping
S1 = 0.9
S2 = 4.0
class orbitHistory:
""" a simple container to store the integrated history of an
orbit """
def __init__(self, t=None, x=None, y=None, u=None, v=None):
self.t = numpy.array(t)
self.x = numpy.array(x)
self.y = numpy.array(y)
self.u = numpy.array(u)
self.v = numpy.array(v)
def finalR(self):
""" the radius at the final integration time """
N = len(self.t)
return math.sqrt(self.x[N-1]**2 + self.y[N-1]**2)
def displacement(self):
""" distance between the starting and ending point """
N = len(self.t)
return math.sqrt( (self.x[0] - self.x[N-1])**2 +
(self.y[0] - self.y[N-1])**2 )
def energy(self):
""" return the energy (per unit mass) at each point in time """
return 0.5*(self.u**2 + self.v**2) \
- GM/numpy.sqrt(self.x**2 + self.y**2)
def RK4_singlestep(X0, V0, t, dt, rhs):
""" take a single RK-4 timestep from t to t+dt for the system
ydot = rhs """
x = X0[0]
y = X0[1]
u = V0[0]
v = V0[1]
# get the RHS at several points
xdot1, ydot1, udot1, vdot1 = rhs([x,y], [u,v])
xdot2, ydot2, udot2, vdot2 = \
rhs([x+0.5*dt*xdot1,y+0.5*dt*ydot1],
[u+0.5*dt*udot1,v+0.5*dt*vdot1])
xdot3, ydot3, udot3, vdot3 = \
rhs([x+0.5*dt*xdot2,y+0.5*dt*ydot2],
[u+0.5*dt*udot2,v+0.5*dt*vdot2])
xdot4, ydot4, udot4, vdot4 = \
rhs([x+dt*xdot3,y+dt*ydot3],
[u+dt*udot3,v+dt*vdot3])
# advance
unew = u + (dt/6.0)*(udot1 + 2.0*udot2 + 2.0*udot3 + udot4)
vnew = v + (dt/6.0)*(vdot1 + 2.0*vdot2 + 2.0*vdot3 + vdot4)
xnew = x + (dt/6.0)*(xdot1 + 2.0*xdot2 + 2.0*xdot3 + xdot4)
ynew = y + (dt/6.0)*(ydot1 + 2.0*ydot2 + 2.0*ydot3 + ydot4)
return xnew, ynew, unew, vnew
class orbit:
""" hold the initial conditions of a planet/comet/etc. orbiting
the Sun and integrate """
def __init__(self, a, e):
""" a = semi-major axis (in AU),
e = eccentricity """
self.x0 = 0.0 # start at x = 0 by definition
self.y0 = a*(1.0 - e) # start at perihelion
self.a = a
self.e = e
# perihelion velocity (see C&O Eq. 2.33 for ex)
self.u0 = -math.sqrt( (GM/a)* (1.0 + e) / (1.0 - e) )
self.v0 = 0.0
def keplerPeriod(self):
""" return the period of the orbit in yr """
return math.sqrt(self.a**3)
def circularVelocity(self):
""" return the circular velocity (in AU/yr) corresponding to
the initial radius -- assuming a circle """
return math.sqrt(GM/self.a)
def escapeVelocity(self):
""" return the escape velocity (in AU/yr) corresponding to
the initial radius -- assuming a circle """
return math.sqrt(2.0*GM/self.a)
def intRK4(self, dt, err, tmax):
""" integrate the equations of motion using 4th order R-K
method with an adaptive stepsize, to try to achieve the
relative error err. dt here is the initial timestep
if err < 0, then we don't do adaptive stepping, but rather
we always walk at the input dt
"""
# initial conditions
t = 0.0
x = self.x0
y = self.y0
u = self.u0
v = self.v0
# store the history for plotting
tpoints = [t]
xpoints = [x]
ypoints = [y]
upoints = [u]
vpoints = [v]
# start with the old timestep
dtNew = dt
while (t < tmax):
if (err > 0.0):
# adaptive stepping
# iteration loop -- keep trying to take a step until
# we achieve our desired error
relError = 1.e10
while (relError > err):
dt = dtNew
if t+dt > tmax:
dt = tmax-t
# take 2 half steps
xtmp, ytmp, utmp, vtmp = \
RK4_singlestep([x,y], [u,v],
t, 0.5*dt, self.rhs)
xnew, ynew, unew, vnew = \
RK4_singlestep([xtmp,ytmp], [utmp,vtmp],
t+0.5*dt, 0.5*dt, self.rhs)
# now take just a single step to cover dt
xsingle, ysingle, usingle, vsingle = \
RK4_singlestep([x,y], [u,v],
t, dt, self.rhs)
# {x,y,u,v}double should be more accurate that
# {x,y,u,v}single, since it used smaller steps.
# estimate the relative error now
relError = max( abs((xnew-xsingle)/xnew),
abs((ynew-ysingle)/ynew),
abs((unew-usingle)/unew),
abs((vnew-vsingle)/vnew) )
# adaptive timestep algorithm from Garcia (Eqs. 3.30
# and 3.31)
dtEst = dt*abs(err/relError)**0.2
dtNew = min(max(S1*dtEst, dt/S2), S2*dt)
else:
if t+dt > tmax:
dt = tmax-t
# take just a single step to cover dt
xnew, ynew, unew, vnew = \
RK4_singlestep([x,y], [u,v],
t, dt, self.rhs)
t += dt
# store
tpoints.append(t)
xpoints.append(xnew)
ypoints.append(ynew)
upoints.append(unew)
vpoints.append(vnew)
# set for the next step
x = xnew; y = ynew; u = unew; v = vnew
# return a orbitHistory object with the trajectory
H = orbitHistory(tpoints, xpoints, ypoints, upoints, vpoints)
return H
def rhs(self, X, V):
""" RHS of the equations of motion. X is the input coordinate
vector and V is the input velocity vector """
# current radius
r = math.sqrt(X[0]**2 + X[1]**2)
# position
xdot = V[0]
ydot = V[1]
# velocity
udot = -GM*X[0]/r**3
vdot = -GM*X[1]/r**3
return xdot, ydot, udot, vdot
| [
"[email protected]"
] | |
7f2ab6c1bdbd251b25752a7629109fcb73413d66 | 4e353bf7035eec30e5ad861e119b03c5cafc762d | /QtGui/QWhatsThis.py | 5b6146b3bf483cf8974d8bf69fddaa4d3f5f1a53 | [] | no_license | daym/PyQt4-Stubs | fb79f54d5c9a7fdb42e5f2506d11aa1181f3b7d5 | 57d880c0d453641e31e1e846be4087865fe793a9 | refs/heads/master | 2022-02-11T16:47:31.128023 | 2017-10-06T15:32:21 | 2017-10-06T15:32:21 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,497 | py | # encoding: utf-8
# module PyQt4.QtGui
# from C:\Python27\lib\site-packages\PyQt4\QtGui.pyd
# by generator 1.145
# no doc
# imports
import PyQt4.QtCore as __PyQt4_QtCore
class QWhatsThis(): # skipped bases: <type 'sip.simplewrapper'>
# no doc
def createAction(self, QObject_parent=None): # real signature unknown; restored from __doc__
""" QWhatsThis.createAction(QObject parent=None) -> QAction """
return QAction
def enterWhatsThisMode(self): # real signature unknown; restored from __doc__
""" QWhatsThis.enterWhatsThisMode() """
pass
def hideText(self): # real signature unknown; restored from __doc__
""" QWhatsThis.hideText() """
pass
def inWhatsThisMode(self): # real signature unknown; restored from __doc__
""" QWhatsThis.inWhatsThisMode() -> bool """
return False
def leaveWhatsThisMode(self): # real signature unknown; restored from __doc__
""" QWhatsThis.leaveWhatsThisMode() """
pass
def showText(self, QPoint, QString, QWidget_widget=None): # real signature unknown; restored from __doc__
""" QWhatsThis.showText(QPoint, QString, QWidget widget=None) """
pass
def __init__(self, *args, **kwargs): # real signature unknown
pass
__weakref__ = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
"""list of weak references to the object (if defined)"""
| [
"[email protected]"
] | |
8437f6181538d26b696fd736237986f5361a9524 | fa2ffc5487bef8240a1a5c7cfb893c234df21ee0 | /ormproject1/ormproject1/urls.py | 84231ae88dbbf078c2576b57e4b5aaff759cc7e0 | [] | no_license | sandipdeshmukh77/django-practice-projects | cfd4d8f29aa74832ed3dc5501a651cba3f201251 | 78f9bd9f0fac4aaeecce4a94e88c6880e004b873 | refs/heads/main | 2023-02-11T05:59:28.029867 | 2020-12-29T22:12:52 | 2020-12-29T22:12:52 | 325,446,362 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 809 | py | """ormproject1 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
from testapp import views
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.emp_view),
]
| [
"[email protected]"
] | |
bbf399a94e325f9bc2091e29633b06ec8093eecf | b144c5142226de4e6254e0044a1ca0fcd4c8bbc6 | /ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/lblearnedinfo_ec56ce29319e76b0e1d8451951f052e6.py | e78c3385472f2daf5a117b909eb5acbcc9efa81a | [
"MIT"
] | permissive | iwanb/ixnetwork_restpy | fa8b885ea7a4179048ef2636c37ef7d3f6692e31 | c2cb68fee9f2cc2f86660760e9e07bd06c0013c2 | refs/heads/master | 2021-01-02T17:27:37.096268 | 2020-02-11T09:28:15 | 2020-02-11T09:28:15 | 239,721,780 | 0 | 0 | NOASSERTION | 2020-02-11T09:20:22 | 2020-02-11T09:20:21 | null | UTF-8 | Python | false | false | 5,389 | py | # MIT LICENSE
#
# Copyright 1997 - 2019 by IXIA Keysight
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the
# Software is furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class LbLearnedInfo(Base):
"""This object contains the loopback learned information.
The LbLearnedInfo class encapsulates a list of lbLearnedInfo resources that is managed by the system.
A list of resources can be retrieved from the server using the LbLearnedInfo.find() method.
"""
__slots__ = ()
_SDM_NAME = 'lbLearnedInfo'
def __init__(self, parent):
super(LbLearnedInfo, self).__init__(parent)
@property
def CVlan(self):
"""(read only) The stacked VLAN identifier for the loopback message.
Returns:
str
"""
return self._get_attribute('cVlan')
@property
def DstMacAddress(self):
"""(read only) The destination MAC address for the loopback message.
Returns:
str
"""
return self._get_attribute('dstMacAddress')
@property
def MdLevel(self):
"""(read only) The MD level for the loopback message.
Returns:
number
"""
return self._get_attribute('mdLevel')
@property
def Reachability(self):
"""(read only) Indiates the status of the Ping. If true, the ping was responded to.
Returns:
bool
"""
return self._get_attribute('reachability')
@property
def Rtt(self):
"""(read only) The round trip time for the loopback message.
Returns:
number
"""
return self._get_attribute('rtt')
@property
def SVlan(self):
"""(read only) The single VLAN identifier for the loopback message.
Returns:
str
"""
return self._get_attribute('sVlan')
@property
def SrcMacAddress(self):
"""(read only) The source MAC address for the loopback message.
Returns:
str
"""
return self._get_attribute('srcMacAddress')
@property
def TransactionId(self):
"""(read only) The transaction identifier attached to the loopback message.
Returns:
number
"""
return self._get_attribute('transactionId')
def find(self, CVlan=None, DstMacAddress=None, MdLevel=None, Reachability=None, Rtt=None, SVlan=None, SrcMacAddress=None, TransactionId=None):
"""Finds and retrieves lbLearnedInfo data from the server.
All named parameters support regex and can be used to selectively retrieve lbLearnedInfo data from the server.
By default the find method takes no parameters and will retrieve all lbLearnedInfo data from the server.
Args:
CVlan (str): (read only) The stacked VLAN identifier for the loopback message.
DstMacAddress (str): (read only) The destination MAC address for the loopback message.
MdLevel (number): (read only) The MD level for the loopback message.
Reachability (bool): (read only) Indiates the status of the Ping. If true, the ping was responded to.
Rtt (number): (read only) The round trip time for the loopback message.
SVlan (str): (read only) The single VLAN identifier for the loopback message.
SrcMacAddress (str): (read only) The source MAC address for the loopback message.
TransactionId (number): (read only) The transaction identifier attached to the loopback message.
Returns:
self: This instance with matching lbLearnedInfo data retrieved from the server available through an iterator or index
Raises:
ServerError: The server has encountered an uncategorized error condition
"""
return self._select(locals())
def read(self, href):
"""Retrieves a single instance of lbLearnedInfo data from the server.
Args:
href (str): An href to the instance to be retrieved
Returns:
self: This instance with the lbLearnedInfo data from the server available through an iterator or index
Raises:
NotFoundError: The requested resource does not exist on the server
ServerError: The server has encountered an uncategorized error condition
"""
return self._read(href)
| [
"[email protected]"
] | |
a7e57c370cdd942ba3edee059b279d2474ce76b3 | 31c50ab5729ee999698f0683c7f893a11c994269 | /home/migrations/0002_load_initial_data.py | b3b1bef16fb9c537436e22c7f4f5835b367fe7f8 | [] | no_license | crowdbotics-apps/regi-test-20062 | e86c2eeabb0156f17c7046820452fa8249ffb8f6 | 3089a7ccf13444fbdaedb40b02b9347ed7338010 | refs/heads/master | 2022-12-09T00:20:00.701341 | 2020-09-06T11:46:38 | 2020-09-06T11:46:38 | 293,265,252 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,290 | py | from django.db import migrations
def create_customtext(apps, schema_editor):
CustomText = apps.get_model("home", "CustomText")
customtext_title = "Regi Test"
CustomText.objects.create(title=customtext_title)
def create_homepage(apps, schema_editor):
HomePage = apps.get_model("home", "HomePage")
homepage_body = """
<h1 class="display-4 text-center">Regi Test</h1>
<p class="lead">
This is the sample application created and deployed from the Crowdbotics app.
You can view list of packages selected for this application below.
</p>"""
HomePage.objects.create(body=homepage_body)
def create_site(apps, schema_editor):
Site = apps.get_model("sites", "Site")
custom_domain = "regi-test-20062.botics.co"
site_params = {
"name": "Regi Test",
}
if custom_domain:
site_params["domain"] = custom_domain
Site.objects.update_or_create(defaults=site_params, id=1)
class Migration(migrations.Migration):
dependencies = [
("home", "0001_initial"),
("sites", "0002_alter_domain_unique"),
]
operations = [
migrations.RunPython(create_customtext),
migrations.RunPython(create_homepage),
migrations.RunPython(create_site),
]
| [
"[email protected]"
] | |
a702e4b80caf7a516d063910b16df3193a3b12f8 | c7c1a7030ce94f9678fbb9c9e8469a9726592a0a | /server.py | 8f43ad1cccafa8117dc18e3aa062fcf936d5ae0e | [
"WTFPL"
] | permissive | giogodo/hydrus | a7e5d8a6b256109e914216d18efa2e4ed341ccf7 | 836ae13e1f80b02e063dac9829faaec0e5c89f89 | refs/heads/master | 2020-04-17T18:52:00.309884 | 2019-01-16T22:40:53 | 2019-01-16T22:40:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 4,392 | py | #!/usr/bin/env python3
# This program is free software. It comes without any warranty, to
# the extent permitted by applicable law. You can redistribute it
# and/or modify it under the terms of the Do What The Fuck You Want
# To Public License, Version 2, as published by Sam Hocevar. See
# http://sam.zoy.org/wtfpl/COPYING for more details.
try:
from include import HydrusPy2To3
HydrusPy2To3.do_2to3_test()
import locale
try: locale.setlocale( locale.LC_ALL, '' )
except: pass
from include import HydrusExceptions
from include import HydrusConstants as HC
from include import HydrusData
from include import HydrusPaths
import os
import sys
import time
from include import ServerController
import threading
from twisted.internet import reactor
from include import HydrusGlobals as HG
from include import HydrusLogger
import traceback
#
import argparse
argparser = argparse.ArgumentParser( description = 'hydrus network server' )
argparser.add_argument( 'action', default = 'start', nargs = '?', choices = [ 'start', 'stop', 'restart' ], help = 'either start this server (default), or stop an existing server, or both' )
argparser.add_argument( '-d', '--db_dir', help = 'set an external db location' )
argparser.add_argument( '--no_daemons', action='store_true', help = 'run without background daemons' )
argparser.add_argument( '--no_wal', action='store_true', help = 'run without WAL db journalling' )
result = argparser.parse_args()
action = result.action
if result.db_dir is None:
db_dir = HC.DEFAULT_DB_DIR
if not HydrusPaths.DirectoryIsWritable( db_dir ) or HC.RUNNING_FROM_OSX_APP:
db_dir = HC.USERPATH_DB_DIR
else:
db_dir = result.db_dir
db_dir = HydrusPaths.ConvertPortablePathToAbsPath( db_dir, HC.BASE_DIR )
try:
HydrusPaths.MakeSureDirectoryExists( db_dir )
except:
raise Exception( 'Could not ensure db path ' + db_dir + ' exists! Check the location is correct and that you have permission to write to it!' )
no_daemons = result.no_daemons
no_wal = result.no_wal
#
action = ServerController.ProcessStartingAction( db_dir, action )
with HydrusLogger.HydrusLogger( db_dir, 'server' ) as logger:
try:
if action in ( 'stop', 'restart' ):
ServerController.ShutdownSiblingInstance( db_dir )
if action in ( 'start', 'restart' ):
HydrusData.Print( 'Initialising controller\u2026' )
threading.Thread( target = reactor.run, kwargs = { 'installSignalHandlers' : 0 } ).start()
controller = ServerController.Controller( db_dir, no_daemons, no_wal )
controller.Run()
except HydrusExceptions.PermissionException as e:
error = str( e )
HydrusData.Print( error )
except:
error = traceback.format_exc()
HydrusData.Print( 'Hydrus server failed' )
HydrusData.Print( traceback.format_exc() )
finally:
HG.view_shutdown = True
HG.model_shutdown = True
try: controller.pubimmediate( 'wake_daemons' )
except: pass
reactor.callFromThread( reactor.stop )
except HydrusExceptions.PermissionException as e:
HydrusData.Print( e )
except Exception as e:
import traceback
import os
print( traceback.format_exc() )
if 'db_dir' in locals() and os.path.exists( db_dir ):
dest_path = os.path.join( db_dir, 'crash.log' )
with open( dest_path, 'w', encoding = 'utf-8' ) as f:
f.write( traceback.format_exc() )
print( 'Critical error occurred! Details written to crash.log!' )
| [
"[email protected]"
] | |
323dc9dfafaaecd399097690749c647753a3ee63 | 2699b6508febc0fddde5520c5498000746eee775 | /metadata/ns_swe20.py | 6c5a30471dad8351f5968fbd06f135d5c361138e | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | DREAM-ODA-OS/tools | e1c71ddb65c255dc291a1e10778b461f32e1b017 | 66090fc9c39b35b4ef439d4dfe26ac1349d9c5f2 | refs/heads/master | 2021-01-19T02:13:59.489229 | 2017-11-18T10:27:25 | 2017-11-18T10:27:25 | 18,381,247 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,357 | py | #------------------------------------------------------------------------------
#
# SWE v2.0 namespace
#
# Project: XML Metadata Handling
# Authors: Martin Paces <[email protected]>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2013 EOX IT Services GmbH
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies of this Software or works derived from this Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#-------------------------------------------------------------------------------
from lxml.builder import ElementMaker
from xml_utils import nn
#------------------------------------------------------------------------------
# namespace
NS = "http://www.opengis.net/swe/2.0"
NS_MAP = {"swe": NS}
#------------------------------------------------------------------------------
# element maker
E = ElementMaker(namespace=NS, nsmap=NS_MAP)
#------------------------------------------------------------------------------
# predefined fully qualified names
# attributes
# elements
DataRecord = nn(NS, 'DataRecord')
AllowedValues = nn(NS, 'AllowedValues')
NilValues = nn(NS, 'NilValues')
field = nn(NS, 'field')
Quantity = nn(NS, 'Quantity')
description = nn(NS, 'description')
nilValues = nn(NS, 'nilValues')
nilValue = nn(NS, 'nilValue')
uom = nn(NS, 'uom')
constraint = nn(NS, 'constraint')
interval = nn(NS, 'interval')
significantFigures = nn(NS, 'significantFigures')
| [
"[email protected]"
] | |
7e674560d2a9be8aff0f294dad3f242b65276e81 | fd40d6375ddae5c8613004a411341f0c984e80d5 | /src/visions/core/implementations/types/visions_object.py | 4ca3062561d0563c83583f542943063a6f1c8e55 | [
"LicenseRef-scancode-public-domain",
"MIT"
] | permissive | ieaves/tenzing | 93c3353e62621c90adefc5a174a2dcde9aacbc46 | 92d39c1c3a5633d8074e0ffe8c2687c465aebbc8 | refs/heads/master | 2020-04-25T07:14:31.388737 | 2020-01-07T02:51:13 | 2020-01-07T02:51:13 | 172,608,080 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 904 | py | import pandas.api.types as pdt
import pandas as pd
from typing import Sequence
from visions.core.model.relations import (
IdentityRelation,
InferenceRelation,
TypeRelation,
)
from visions.core.model.type import VisionsBaseType
def _get_relations() -> Sequence[TypeRelation]:
from visions.core.implementations.types import visions_generic
relations = [IdentityRelation(visions_object, visions_generic)]
return relations
class visions_object(VisionsBaseType):
"""**Object** implementation of :class:`visions.core.model.type.VisionsBaseType`.
Examples:
>>> x = pd.Series(['a', 1, np.nan])
>>> x in visions_object
True
"""
@classmethod
def get_relations(cls) -> Sequence[TypeRelation]:
return _get_relations()
@classmethod
def contains_op(cls, series: pd.Series) -> bool:
return pdt.is_object_dtype(series)
| [
"[email protected]"
] | |
35a8c74de378ac521d1c86e29ff4fb0fe804eba7 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03829/s130253347.py | 369c68d33d9d4cee44e80bfa246abbd4af28f0be | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 157 | py | n,a,b=map(int,input().split())
xs=list(map(int,input().split()))
l=[xs[i+1]-xs[i] for i in range(n-1)]
ans=[a*k if a*k < b else b for k in l]
print(sum(ans)) | [
"[email protected]"
] | |
66b046fca4348342f44b6fccb8ee072e0a4f1306 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p03696/s509896752.py | d2b5b083923b99b338db190c7478f534cf557b8f | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 226 | py | n = int(input())
s = input()
opens = 0
l = 0
for i in range(n):
if s[i] == "(":
opens += 1
else:
opens -= 1
if opens < 0:
l += 1
opens = 0
print("("*l + s + ")"*opens) | [
"[email protected]"
] |
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