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src/datahub/common/date_range.py | project-origin/datahub-service | 1 | 66409 | <reponame>project-origin/datahub-service
from datetime import datetime
from dateutil.relativedelta import relativedelta
from .models import SummaryResolution
class LabelRange(object):
"""
Generates an ordered list of labels each corresponding to a period
of time (defined by its begin, end, and the "resolution" parameter).
For example, provided the following inputs::
begin = datetime(2020, 1, 1, 0, 0, 0)
end = datetime(2020, 1, 3, 0, 0, 0)
resolution = SummaryResolution.day
labels = list(LabelRange(begin, end, resolution))
Results in the following list::
['2020-01-01', '2020-01-02', '2020-01-03']
"""
RESOLUTIONS = {
SummaryResolution.hour: '%Y-%m-%d %H:00',
SummaryResolution.day: '%Y-%m-%d',
SummaryResolution.month: '%Y-%m',
SummaryResolution.year: '%Y',
}
LABEL_STEP = {
SummaryResolution.hour: relativedelta(hours=1),
SummaryResolution.day: relativedelta(days=1),
SummaryResolution.month: relativedelta(months=1),
SummaryResolution.year: relativedelta(years=1),
SummaryResolution.all: None,
}
def __init__(self, begin, end, resolution):
"""
:param datetime begin:
:param datetime end:
:param SummaryResolution resolution:
"""
self.begin = begin
self.end = end
self.resolution = resolution
def __iter__(self):
return iter(self.get_label_range())
def get_label_range(self):
format = self.RESOLUTIONS[self.resolution]
step = self.LABEL_STEP[self.resolution]
begin = self.begin
labels = []
while begin < self.end:
labels.append(begin.strftime(format))
begin += step
return labels
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quantity/history/api.py | wyjcpu/quantity | 0 | 1613524 | <filename>quantity/history/api.py
# -*- coding: utf-8 -*-
from quantity.history.day import Day
def init(dtype='D', export='csv', path='history'):
return Day(path=path, export=export).init()
def update_single_code(dtype='D', stock_code=None, path='history', export='csv'):
if stock_code is None:
raise Exception('stock code is None')
return Day(path=path, export=export).update_single_code(stock_code)
def update(dtype='D', export='csv', path='history'):
return Day(path=path, export=export).update()
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foo/pictureR/wordsTemplate.py | MangetsuC/arkHelper | 147 | 14724 | <filename>foo/pictureR/wordsTemplate.py<gh_stars>100-1000
from PIL import Image, ImageDraw, ImageFont
from numpy import asarray
from cv2 import cvtColor, COLOR_RGB2BGR, imshow, waitKey
from os import getcwd
def getFontSize_name(resolution):
x = resolution[0]
if x <= 1024:
return (16, (1024,576))
elif x <= 1280:
return (21, (1280,720))
elif x <= 1440:
return (23, (1440,810))
elif x <= 1600:
return (26, (1600,900))
else:
return (31, (1920,1080))
def getTemplatePic_CH(words, fontsize):
#字号典型值 基建干员名称23 进驻总览房屋名称28(1440*810) 基建干员名称30 进驻总览房屋名称38(1920*1080)
ttf = ImageFont.truetype(getcwd() + "/res/fonts/SourceHanSansCN-Regular.otf", fontsize) #字体选用思源黑体
wordsPic = Image.new('RGB', ttf.getsize(words))
wordsDraw = ImageDraw.Draw(wordsPic)
wordsDraw.text((0, 0), words, font=ttf, fill=(255,255,255)) #创建对应的模板
#temp = cvtColor(asarray(wordsPic), COLOR_RGB2BGR)
#imshow('test', temp)
#waitKey(0)
return cvtColor(asarray(wordsPic), COLOR_RGB2BGR)
def getTemplatePic_NUM(num, fontsize):
#字号典型值 进驻总览干员心情28
num = str(num)
ttf = ImageFont.truetype(getcwd() + "/res/fonts/Bender.otf", fontsize) #字体选用bender
wordsPic = Image.new('RGB', ttf.getsize(num), color = (255, 255, 255))
wordsDraw = ImageDraw.Draw(wordsPic)
wordsDraw.text((0, 0), num, font=ttf, fill=(0,0,0)) #创建对应的模板
return cvtColor(asarray(wordsPic), COLOR_RGB2BGR) | [
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] |
Packs/CaseManagement-Generic/Scripts/LinkIncidentsButton/LinkIncidentsButton.py | diCagri/content | 799 | 83208 | <filename>Packs/CaseManagement-Generic/Scripts/LinkIncidentsButton/LinkIncidentsButton.py<gh_stars>100-1000
import demistomock as demisto
action = demisto.getArg('action')
if action not in ['link', 'unlink']:
action = 'link'
demisto.results(demisto.executeCommand("linkIncidents", {"linkedIncidentIDs": demisto.getArg("linkedIncidentIDs"),
"action": action}))
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directory/block_producer/migrations/0008_increase_text_size.py | Remmeauth/bp-directory-back | 0 | 101882 | # Generated by Django 2.2.6 on 2019-10-10 08:35
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('block_producer', '0007_add_status_description_field'),
]
operations = [
migrations.AlterField(
model_name='blockproducer',
name='logo_url',
field=models.URLField(blank=True, default='https://block-producers-directory.s3-us-west-2.amazonaws.com/bps/logos/default-block-producer-logotype.png', max_length=1000),
),
migrations.AlterField(
model_name='blockproducer',
name='status_description',
field=models.TextField(blank=True, max_length=10000),
),
migrations.AlterField(
model_name='blockproducercomment',
name='text',
field=models.CharField(max_length=1000),
),
]
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conftest.py | berpress/MT5WT | 0 | 13286 | import pytest
from common.common import NETTING_ACCOUNT
from fixture.application import Application
@pytest.fixture(scope="session")
def app(request):
base_url = request.config.getoption("--base_url")
fixture = Application(base_url)
fixture.wd.maximize_window()
fixture.wd.implicitly_wait(10)
yield fixture
fixture.destroy()
def pytest_addoption(parser):
parser.addoption(
"--base_url",
action="store",
default="https://trade.mql5.com/trade",
help="base_url",
)
@pytest.fixture()
def auth_netting(app):
if not app.auth.is_auth(NETTING_ACCOUNT.login):
app.auth.open()
app.auth.auth_terminal(NETTING_ACCOUNT.login, NETTING_ACCOUNT.password)
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setup.py | Bonifatius94/sc2sim | 0 | 32738 | <gh_stars>0
from setuptools import setup
def load_pip_dependency_list():
with open('./requirements.txt', 'r', encoding='utf-8') as file:
return file.read().splitlines()
def load_readme_desc():
with open("README.md", "r", encoding="utf-8") as readme_file:
return readme_file.read()
setup(
name="sc2sim",
version="1.0.0",
author="<NAME>",
author_email="<EMAIL>",
description="A StarCraft II environment for reinforcement learning purposes",
long_description=load_readme_desc(),
long_description_content_type="text/markdown",
url="https://github.com/Bonifatius94/sc2sim",
packages=["sc2sim"],
python_requires=">=3",
install_requires=load_pip_dependency_list()
)
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] |
tests/test_tree_adapter.py | benkrikler/fast-carpenter-github-test | 12 | 88480 | import awkward as ak
import numpy as np
import pytest
from pytest_lazyfixture import lazy_fixture
from fast_carpenter.testing import FakeBEEvent
import fast_carpenter.tree_adapter as tree_adapter
from fast_carpenter.tree_adapter import ArrayMethods
###############################################################################
# Uproot3 tests
###############################################################################
@pytest.fixture
def uproot3_adapter(uproot3_tree):
return tree_adapter.create({"adapter": "uproot3", "tree": uproot3_tree})
def test_uproot3_num_entries(uproot3_tree, uproot3_adapter):
assert uproot3_adapter.num_entries == uproot3_tree.numentries
def test_uproot3_getitem(uproot3_tree, uproot3_adapter):
assert ak.all(uproot3_adapter["Muon_Py"] == uproot3_tree["Muon_Py"].array())
###############################################################################
# Uproot4 tests
###############################################################################
@pytest.fixture
def uproot4_adapter(uproot4_tree):
return tree_adapter.create({"adapter": "uproot4", "tree": uproot4_tree})
@pytest.fixture
def uproot4_ranged_adapter(uproot4_tree, event_range):
return tree_adapter.create_ranged(
{
"adapter": "uproot4",
"tree": uproot4_tree,
"start": event_range.start_entry,
"stop": event_range.stop_entry
}
)
@pytest.fixture
def uproot4_masked_adapter(uproot4_tree, event_range):
return tree_adapter.create_masked(
{
"adapter": "uproot4", "tree": uproot4_tree,
"start": event_range.start_entry, "stop": event_range.stop_entry,
"mask": [(i % 2) == 0 for i in range(event_range.start_entry, event_range.stop_entry)]
}
)
def test_uproot4_num_entries(uproot4_tree, uproot4_adapter):
assert uproot4_adapter.num_entries == uproot4_tree.num_entries
def test_uproot4_getitem(uproot4_tree, uproot4_adapter):
assert ak.all(uproot4_adapter["Muon_Py"] == uproot4_tree["Muon_Py"].array())
def test_uproot4_evaluate(uproot4_tree, uproot4_adapter):
result = uproot4_adapter.evaluate("Muon_Py * NMuon")
assert ak.num(result, axis=0) == ak.num(uproot4_tree["Muon_Py"].array(), axis=0)
def test_uproot4_range(uproot4_tree, uproot4_ranged_adapter, event_range):
assert uproot4_ranged_adapter.num_entries == event_range.entries_in_block
def test_uproot4_add_retrieve(uproot4_tree, uproot4_ranged_adapter):
muon_px = uproot4_ranged_adapter["Muon_Px"]
assert ArrayMethods.filtered_len(muon_px) == len(uproot4_ranged_adapter)
muon_py, muon_pz = uproot4_ranged_adapter.arrays(["Muon_Py", "Muon_Pz"], how=tuple)
muon_momentum = np.hypot(muon_py, muon_pz)
uproot4_ranged_adapter.new_variable("Muon_momentum", muon_momentum)
retrieve_momentum = uproot4_ranged_adapter["Muon_momentum"]
assert len(retrieve_momentum) == len(muon_momentum)
assert ak.all(ak.flatten(retrieve_momentum) == ak.flatten(muon_momentum))
def test_overwrite(uproot4_ranged_adapter):
muon_px = uproot4_ranged_adapter["Muon_Px"]
assert ("Muon_Px" in uproot4_ranged_adapter)
with pytest.raises(ValueError) as err:
uproot4_ranged_adapter.new_variable("Muon_Px", muon_px / muon_px)
assert "Muon_Px" in str(err)
def test_to_pandas(full_wrapped_tree):
chunk = FakeBEEvent(full_wrapped_tree, "mc")
inputs = ['Electron_Px', 'Electron_Py', 'EventWeight']
df = ArrayMethods.to_pandas(chunk.tree, inputs)
assert list(df.keys()) == inputs
def test_arraydict_to_pandas_with_new_variable(uproot4_ranged_adapter):
muon_py, muon_pz = uproot4_ranged_adapter.arrays(["Muon_Py", "Muon_Pz"], how=tuple)
muon_momentum = np.hypot(muon_py, muon_pz)
uproot4_ranged_adapter.new_variable("Muon_momentum", muon_momentum)
inputs = ['Muon_Py', 'Muon_Pz', 'Muon_momentum']
arrays = {
'Muon_Py': muon_py,
'Muon_Pz': muon_pz,
'Muon_momentum': muon_momentum,
}
df = ArrayMethods.arraydict_to_pandas(arrays)
assert list(df.keys()) == inputs
assert len(df) == ak.count_nonzero(muon_py)
@pytest.mark.parametrize(
"tree_under_test",
[
lazy_fixture("uproot4_adapter"),
lazy_fixture("uproot4_ranged_adapter"),
lazy_fixture("uproot4_masked_adapter"),
]
)
def test_to_pandas_with_new_variable(tree_under_test):
muon_py, muon_pz = tree_under_test.arrays(["Muon_Py", "Muon_Pz"], how=tuple)
muon_momentum = np.hypot(muon_py, muon_pz)
assert len(muon_momentum) == len(muon_py)
tree_under_test.new_variable("Muon_momentum", muon_momentum)
inputs = ['Muon_Py', 'Muon_Pz', 'Muon_momentum']
df = ArrayMethods.to_pandas(tree_under_test, inputs)
assert list(df.keys()) == inputs
assert len(df) == ak.count_nonzero(muon_py)
@pytest.mark.parametrize(
"tree_under_test, how",
[
(lazy_fixture("uproot4_adapter"), tuple),
(lazy_fixture("uproot4_adapter"), list),
(lazy_fixture("uproot4_ranged_adapter"), tuple),
(lazy_fixture("uproot4_ranged_adapter"), list),
(lazy_fixture("uproot4_masked_adapter"), tuple),
(lazy_fixture("uproot4_masked_adapter"), list),
]
)
def test_arrays_to_tuple_or_list(tree_under_test, how):
muon_py, muon_pz = tree_under_test.arrays(["Muon_Py", "Muon_Pz"], how=tuple)
muon_momentum = np.hypot(muon_py, muon_pz)
tree_under_test.new_variable("Muon_momentum", muon_momentum)
_, _, muon_momentum_new = tree_under_test.arrays(["Muon_Py", "Muon_Pz", "Muon_momentum"], how=how)
assert ak.all(muon_momentum_new == muon_momentum)
@pytest.mark.parametrize(
"tree_under_test",
[
lazy_fixture("uproot4_adapter"),
lazy_fixture("uproot4_ranged_adapter"),
lazy_fixture("uproot4_masked_adapter"),
]
)
def test_arrays_to_dict(tree_under_test):
muon_py, muon_pz = tree_under_test.arrays(["Muon_Py", "Muon_Pz"], how=tuple)
muon_momentum = np.hypot(muon_py, muon_pz)
tree_under_test.new_variable("Muon_momentum", muon_momentum)
array_dict = tree_under_test.arrays(["Muon_Py", "Muon_Pz", "Muon_momentum"], how=dict)
assert ak.all(array_dict["Muon_momentum"] == muon_momentum)
@pytest.mark.parametrize(
"tree_under_test",
[
lazy_fixture("uproot4_adapter"),
lazy_fixture("uproot4_ranged_adapter"),
lazy_fixture("uproot4_masked_adapter"),
]
)
def test_arrays_as_np_lists(tree_under_test):
muon_py, muon_pz = tree_under_test.arrays(["Muon_Py", "Muon_Pz"], how=tuple)
muon_momentum = np.hypot(muon_py, muon_pz)
tree_under_test.new_variable("Muon_momentum", muon_momentum)
np_array = ArrayMethods.arrays_as_np_array(tree_under_test, ["Muon_Py", "Muon_Pz", "Muon_momentum"], how=dict)
assert ak.all(np_array[-1] == muon_momentum)
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main/python-sphinx-removed-in/template.py | RoastVeg/cports | 0 | 37759 | <reponame>RoastVeg/cports
pkgname = "python-sphinx-removed-in"
pkgver = "0.2.1"
pkgrel = 0
build_style = "python_module"
hostmakedepends = ["python-setuptools"]
checkdepends = ["python-sphinx"]
depends = ["python-sphinx"]
pkgdesc = "Sphinx extension for versionremoved and removed-in directives"
maintainer = "q66 <<EMAIL>>"
license = "BSD-3-Clause"
url = "https://github.com/MrSenko/sphinx-removed-in"
source = f"$(PYPI_SITE)/s/sphinx-removed-in/sphinx-removed-in-{pkgver}.tar.gz"
sha256 = "0588239cb534cd97b1d3900d0444311c119e45296a9f73f1ea81ea81a2cd3db1"
# dependency of pytest
options = ["!check"]
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src/Cogs/InfoCog.py | kodyVS/Discord-Bot-Development | 5 | 11746 | <filename>src/Cogs/InfoCog.py
from discord.ext import commands
import discord
import requests
from bs4 import BeautifulSoup
# work in progress! more languages welcome!
class InfoCog(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.command(name = 'docs', brief = 'programming language documentation', description = 'documentation for languages, access by calling `.docs <language> <query>`', aliases = ['documentation', 'info'])
async def docs(self, ctx, language: str, query):
# access docs based on language
if language == 'python' or language == 'python3':
full_link = 'https://docs.python.org/3/genindex-all.html'
page = requests.get(full_link).content
soup = BeautifulSoup(page, 'html.parser')
link_descriptions = []
for link in soup.findAll('a'):
if query in link.contents[0]:
link_descriptions.append(f"[{link.contents[0]}](https://docs.python.org/3/{link['href']})")
link_descriptions = list(dict.fromkeys(link_descriptions))
link_descriptions = link_descriptions[:10]
### TODO: multi-lingual docs support (devdocs.io?)
### TODO: faster searching (current 4-5 secs)
### TODO: filter results -> currently only pick top ten, and there are some odd results as well
embed = discord.Embed(title="Python 3 Docs", color = 0x00ff00)
embed.add_field(name=f'{len(link_descriptions)} results found for `{query}` :', value='\n'.join(
link_descriptions), inline=False)
embed.set_thumbnail(url=
'https://upload.wikimedia.org/wikipedia/commons/thumb/c/c3/Python-logo-notext.svg/240px-Python-logo-notext.svg.png')
await ctx.send(embed=embed)
@commands.command(name='github', brief = 'view top 10 daily github repos', description = 'see the names and descriptions of the top x github repos today with `.github x` (default 10)', aliases=['gh'])
async def github(self, ctx, amount: int = 10):
'''Gets the GitHub first < amount > repositories without embeds'''
page = requests.get(
'https://github-trending-api.now.sh/repositories?q=sort=stars&order=desc&since=daily')
response = [
f"{entry['description']}: {'<' + entry['url'] + '>'}\n" for entry in page.json()[:amount]]
embed = discord.Embed(
title=f"**GitHub's top {str(amount)} today**", description='\n'.join(response), color=0x00ff00)
await ctx.send(embed=embed)
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app/__init__.py | ednilsonlomazi/AnonymousRepSys-API | 0 | 104424 | from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from flask import Flask
app = Flask(__name__)
app.config['SECRET_KEY'] = 'uma-string-muito-segura'
app.config['DEBUG'] = True
engine = create_engine('mysql+pymysql://admdenuncia:adm-senha@localhost/denuncia', echo=True)
Session = sessionmaker(bind=engine)
session = Session()
Base = declarative_base()
MAX_CHAR_TEXTO = 10000
from app.controllers import default
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pywren/pywren_ibm_cloud/invokers.py | thetolga/pywren-ibm-cloud | 0 | 5617 | #
# Copyright 2018 PyWren Team
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import time
import logging
import random
from pywren_ibm_cloud.cf_connector import CloudFunctions
logger = logging.getLogger(__name__)
class IBMCloudFunctionsInvoker:
def __init__(self, cf_config, retry_config):
self.namespace = cf_config['namespace']
self.endpoint = cf_config['endpoint']
self.cf_action_name = cf_config['action_name'] # Runtime
self.invocation_retry = retry_config['invocation_retry']
self.retry_sleeps = retry_config['retry_sleeps']
self.retries = retry_config['retries']
self.client = CloudFunctions(cf_config)
log_msg = 'IBM Cloud Functions init for {}'.format(self.cf_action_name)
logger.info(log_msg)
if(logger.getEffectiveLevel() == logging.WARNING):
print(log_msg)
def invoke(self, payload):
"""
Invoke -- return information about this invocation
"""
act_id = self.client.invoke(self.cf_action_name, payload)
attempts = 1
while not act_id and self.invocation_retry and attempts < self.retries:
attempts += 1
selected_sleep = random.choice(self.retry_sleeps)
exec_id = payload['executor_id']
call_id = payload['call_id']
log_msg = ('Executor ID {} Function {} - Invocation failed - retry {} in {} seconds'.format(exec_id, call_id, attempts, selected_sleep))
logger.debug(log_msg)
time.sleep(selected_sleep)
act_id = self.client.invoke(self.cf_action_name, payload)
return act_id
def config(self):
"""
Return config dict
"""
return {'cf_action_name': self.cf_action_name,
'cf_namespace': self.namespace,
'cf_endpoint': self.endpoint}
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] |
utils.py | KiranRaghavendra1248/Yolo-v3 | 0 | 127551 | from __future__ import division
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
import cv2
# Note origin is top-left corner of the image
# Formula for bx,by,bh,w
# bx=sigmoid(tx)+cx , by=sigmoid(ty)+cy
# where tx,ty is prediction of NN and cx,cy is the origin
# i.e top left corner of present grid cell
#bw=pw*exp(tw), bh=ph*exp(th)
# where tw,th is prediction of NN
# pw,ph is height and width of predefined bounding box
def letterbox_image(img, inp_dim):
'''resize image with unchanged aspect ratio using padding'''
img_w, img_h = img.shape[1], img.shape[0]
w,h = inp_dim
new_w = int(img_w * min(torch.true_divide(w ,img_w), torch.true_divide(h, img_h)))
new_h = int(img_h * min(torch.true_divide(w ,img_w), torch.true_divide(h, img_h)))
resized_image = cv2.resize(img, (new_w, new_h), interpolation=cv2.INTER_CUBIC)
canvas = np.full((inp_dim[1], inp_dim[0], 3), 128)
canvas[(h - new_h) // 2:(h - new_h) // 2 + new_h, (w - new_w) // 2:(w - new_w) // 2 + new_w, :] = resized_image
return canvas
def prep_image(img, inp_dim):
"""
Prepare image for inputting to the neural network.
Here img , in_dim both are single values which are fed one by one to this fun
by the map function
Returns a Variable
"""
img = letterbox_image(img, inp_dim)
img = img[:, :, ::-1].transpose((2, 0, 1)).copy()
img = torch.from_numpy(img).float().div(255.0).unsqueeze(0)
return img
def load_classes(namesfile):
fp = open(namesfile, "r")
names = fp.read().split("\n")[:-1]
return names
def bbox_iou(box1, box2):
"""
Returns the IoU of two bounding boxes
Note:
box1 contains bbx attributes of 1 bbx
box2 contains bbx attributes of all other bbx
"""
# Get the coordinates of bounding boxes
b1_x1, b1_y1, b1_x2, b1_y2 = box1[:, 0], box1[:, 1], box1[:, 2], box1[:, 3]
b2_x1, b2_y1, b2_x2, b2_y2 = box2[:, 0], box2[:, 1], box2[:, 2], box2[:, 3]
# get the corrdinates of the intersection rectangle
inter_rect_x1 = torch.max(b1_x1, b2_x1)
inter_rect_y1 = torch.max(b1_y1, b2_y1)
inter_rect_x2 = torch.min(b1_x2, b2_x2)
inter_rect_y2 = torch.min(b1_y2, b2_y2)
# Intersection area
inter_area = torch.clamp(inter_rect_x2 - inter_rect_x1 + 1, min=0) * torch.clamp(inter_rect_y2 - inter_rect_y1 + 1,
min=0)
# Union Area
b1_area = (b1_x2 - b1_x1 + 1) * (b1_y2 - b1_y1 + 1)
b2_area = (b2_x2 - b2_x1 + 1) * (b2_y2 - b2_y1 + 1)
iou = inter_area / (b1_area + b2_area - inter_area)
return iou
def predict_transform(prediction, inp_dim, anchors, num_classes, CUDA = True):
# predict_transform takes in 5 parameters;
# prediction (our output), inp_dim (input image dimension),
# anchors, num_classes, and an optional CUDA flag
batch_size = prediction.size(0)
stride = inp_dim // prediction.size(2)
grid_size = inp_dim // stride
bbox_attrs = 5 + num_classes # 5 + 80
num_anchors = len(anchors) # 3
# There is [13,13] grid and each grid, at a particular scale
# Outputs 3 bounding boxes.
# Total bounding boxes= 13 * 13 * 3 = 507
# Bounding box attributes= 5 + C = 85
#[1, 255, 13, 13]
prediction = prediction.view(batch_size, bbox_attrs * num_anchors, grid_size * grid_size)
#[1, 255, 169]
prediction = prediction.transpose(1, 2).contiguous()
#[1, 169, 255]
prediction = prediction.view(batch_size, grid_size * grid_size * num_anchors, bbox_attrs)
#[1, 507, 85]
anchors = [(a[0] / stride, a[1] / stride) for a in anchors]
#Sigmoid the centre_X, centre_Y. and object confidencce
prediction[:,:,0] = torch.sigmoid(prediction[:,:,0])
prediction[:,:,1] = torch.sigmoid(prediction[:,:,1])
prediction[:,:,4] = torch.sigmoid(prediction[:,:,4])
#Add the center offsets
grid = np.arange(grid_size)
a,b = np.meshgrid(grid, grid) #[13,13]
x_offset = torch.FloatTensor(a).view(-1,1) #[169,1]
y_offset = torch.FloatTensor(b).view(-1,1) #[169,1]
if CUDA:
x_offset = x_offset.cuda()
y_offset = y_offset.cuda()
# Here this is what happens
# [169,1],[169,1]--cat--> [169,2]--repeat-->[169,6]--view-->
# [507,2]--unsqueeze-->[1,507,2]
x_y_offset = torch.cat((x_offset, y_offset), 1).repeat(1,num_anchors).view(-1,2).unsqueeze(0)
prediction[:,:,:2] += x_y_offset
# Log space transform height and the width
# Anchors are a tensor where each element is a tuple h,w
anchors = torch.FloatTensor(anchors)
if CUDA:
anchors = anchors.cuda()
# This is what happens here
# [3, 2]--repeat-->[507, 2]--unsqueeze-->[1,507,2]
anchors = anchors.repeat(grid_size*grid_size, 1).unsqueeze(0)
prediction[:,:,2:4] = torch.exp(prediction[:,:,2:4])*anchors
# Apply sigmoid activation to the the class scores
prediction[:, :, 5: 5 + num_classes] = torch.sigmoid((prediction[:, :, 5: 5 + num_classes]))
# Resize the detections map to the size of the input image
prediction[:, :, :4] *= stride
return prediction
def write_results(prediction, confidence, num_classes, nms_conf = 0.4):
# Object Confidence Thresholding
conf_mask = (prediction[:, :, 4] > confidence).float().unsqueeze(2)
prediction = prediction * conf_mask
# Performing Non-maximum Suppression
box_corner = prediction.new(prediction.shape)
box_corner[:,:,0] = (prediction[:,:,0] - prediction[:,:,2]/2)
box_corner[:,:,1] = (prediction[:,:,1] - prediction[:,:,3]/2)
box_corner[:,:,2] = (prediction[:,:,0] + prediction[:,:,2]/2)
box_corner[:,:,3] = (prediction[:,:,1] + prediction[:,:,3]/2)
prediction[:,:,:4] = box_corner[:,:,:4]
batch_size = prediction.size(0)
write = False
for ind in range(batch_size):
image_pred = prediction[ind]
#image_pred is now 2D tensor
#confidence threshholding
#NMS
# At this point, we're only concerned with the class score
# having the maximum value. So, we remove the 80 class scores
# from each row, and instead add the index of the class having
# the maximum values, as well the class score of that class.
max_conf, max_conf_score = torch.max(image_pred[:, 5:5 + num_classes], 1)
# torch.max() returns max value and the index where max exists
max_conf = max_conf.float().unsqueeze(1)
max_conf_score = max_conf_score.float().unsqueeze(1)
# concatinating index values and max probability with box coordinates as columns
seq = (image_pred[:, :5], max_conf, max_conf_score)
image_pred = torch.cat(seq, 1)
# Now image_pred dim is [num_bbox,7]
# We have set bounding box attributes of those boxes with objectness
# score less than the threshold as zero. Now we will remove them.
non_zero_ind = (torch.nonzero(image_pred[:, 4]))
try:
image_pred_ = image_pred[non_zero_ind.squeeze(), :].view(-1, 7)
except:
continue
# For PyTorch 0.4 compatibility
# Since the above code with not raise exception for no detection
# as scalars are supported in PyTorch 0.4
if image_pred_.shape[0] == 0:
continue
# The try-except block is there to handle situations where
# we get no detections. In that case, we use continue to skip
# the rest of the loop body for this image.
# Get the various classes detected in the image
try:
img_classes = torch.unique(image_pred_[:, -1])
# -1 index holds the class index
except:
continue
for cls in img_classes:
# perform NMS
# get the detections with one particular class
cls_mask = image_pred_ * (image_pred_[:, -1] == cls).float().unsqueeze(1)
# Unsqueeze is used as broadcasting b/w vector and matrix is not possible
# Hence we make the vector a matrix using unsqueeze
# Tensors are broadcastable if
# When iterating over the dimension sizes, starting at the trailing dimension,
# the dimension sizes must either be equal, one of them is 1,
# or one of them does not exist.
# Now cls_mask dim=[num_bbx,7]
# Basically now all bbx attributes are zero for those bbxs which
# doesnt contain present class
class_mask_ind = torch.nonzero(cls_mask[:, -2]).squeeze()
image_pred_class = image_pred_[class_mask_ind].view(-1, 7)
# sort the detections such that the entry with the maximum objectness
# confidence is at the top
sorted_, conf_sort_index = torch.sort(image_pred_class[:, 4], descending=True)
image_pred_class = image_pred_class[conf_sort_index]
idx = image_pred_class.size(0) # Number of detections
for i in range(idx):
# Get the IOUs of all boxes that come after the one we are looking at
# in the loop
try:
ious = bbox_iou(image_pred_class[i].unsqueeze(0), image_pred_class[i + 1:])
except ValueError:
break
except IndexError:
break
# Zero out all the detections that have IoU > treshhold
iou_mask = (ious < nms_conf).float().unsqueeze(1)
image_pred_class[i + 1:] *= iou_mask
# Remove the non-zero entries
non_zero_ind = torch.nonzero(image_pred_class[:, 4]).squeeze()
image_pred_class = image_pred_class[non_zero_ind].view(-1, 7)
# We use the write flag to indicate whether the tensor has been initialized
# or not. Once it has been initialized, we concatenate subsequent detections to it.
# At the end of loop that iterates over classes, we add the resultant
# detections to the tensor output.
#Concatenate the batch_id of the image to the detection
#this helps us identify which image does the detection correspond to
#We use a linear structure to hold ALL the detections from the batch
#the batch_dim is flattened
#batch is identified by extra batch column
batch_ind = image_pred_class.new(image_pred_class.size(0), 1).fill_(ind)
# Repeat the batch_id for as many detections of the class cls in the image
seq = batch_ind, image_pred_class
if not write:
output = torch.cat(seq, 1)
write = True
else:
out = torch.cat(seq, 1)
output = torch.cat((output, out))
# At the end of the function, we check whether output has been initialized at all or not.
# If it hasn't been means there's hasn't been a single detection in any images of the batch.
# In that case, we return 0.
try:
return output
except:
return 0
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] |
panel/depends.py | apatlpo/panel | 1 | 101442 | from __future__ import absolute_import, division, unicode_literals
import param
from .widgets import Widget
ipywidget_classes = {}
def param_value_if_widget(arg):
if isinstance(arg, Widget):
return arg.param.value
from .pane.ipywidget import IPyWidget
if IPyWidget.applies(arg) and hasattr(arg, 'value'):
name = type(arg).__name__
if name in ipywidget_classes:
ipy_param = ipywidget_classes[name]
else:
ipy_param = param.parameterized_class(name, {'value': param.Parameter()})
ipywidget_classes[name] = ipy_param
ipy_inst = ipy_param(value=arg.value)
arg.observe(lambda event: ipy_inst.param.set_param(value=event['new']), 'value')
return ipy_inst.param.value
return arg
def depends(*args, **kwargs):
updated_args = [param_value_if_widget(a) for a in args]
updated_kwargs = {k: param_value_if_widget(v) for k, v in kwargs.items()}
return param.depends(*updated_args, **updated_kwargs)
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Asap-3.8.4/Python/asap3/Utilities/BrennerImport.py | auag92/n2dm | 1 | 180024 | <filename>Asap-3.8.4/Python/asap3/Utilities/BrennerImport.py
# Copyright (C) 2007 CAMP
# Please see the accompanying LICENSE file for further information.
"""Imports a brenner *.d coordinate file and/or a input.d file"""
"""This file is used with the BrennerPotential only"""
"""TODO: Add nice error messages"""
from ASE.ChemicalElements.symbol import symbols
from ASE import Atom
from Asap import *
from Asap import ListOfAtoms
import string
class BrennerImport:
title = "Default parameter set (overwrites default set of brenner implementation)"
atoms = []
movable = [] #1=movable; 2=non-movable
step = 0.5 #femtoseconds
numAtoms = 0 #number of atoms
kFlag = 1 #brenner k-flag
rll = 2.5 #some radius that has quite some influence
#the following parameters cannot be set in adaption of the brenner potential in asap:
cubedimension = [200, 200, 200] #calculated automatically if not deactivated in BrennerPotential constructor: therefore ignored
lennardJonesParameter = [] #parameters for lennardJones: ignored
starttime = 0 #starttime: ignored
nxmol = 500 #every x steps write output file: ignored:
#but the user can call potential.WriteXmol()
femtosecond=1e-15
def __init__(self):
"""Imports coord.d and input.d"""
#Returns a predictor/corrector object
#TODO: NOT TESTED!
def getPredictorCorrector(self, atoms):
pd = PredictorCorrector(atoms, self.GetStepSize(), self.GetMovableParam())
return pd
#Sets all parameter that can be set in the potential (a BrennerPotential)
#TODO: NOT TESTED - especially !
def setPotentialParameters(self, potential):
potential.SetKFlag(self.GetKFlag())
potential.SetRll(self.GetRll())
potential.SetMinRangeTree(100)
#To maintain compatibility with the brenner source and the
#c implementation of the brenner source we read it as done
#in the c-source. (See bren2.c/initkt() for details!)
#Parameter that don't have a self as prefix are IGNORED!!!!
def initInput(self, filepath):
#first line:
f=open(filepath, 'r')
[kuc, maxkb, self.kFlag, self.nxmol]= self.ReadInt(f, 4)
self.ReadLine(f) #ignore the rest of the 1st line
[pseed, self.rll, temp, pbl]= self.ReadFloat(f, 4)
self.ReadLine(f) #ignore the rest of the 2nd line
self.ipot = self.ReadInt(f, 1)[0] #=1 REBO (C,H,Si,Ge), =2 tight-binding for C:
self.ReadLine(f) #ignore the rest of the 3rd line
self.lennardJonesParameter = []
while 1:
result = self.ReadFloat(f, 4)
self.ReadLine(f); #ifgnore the rest of the line
if result==[]:
break;
[a,b,c,d] = result;
if a>0:
self.lennardJonesParameter.append(a)
self.lennardJonesParameter.append(b)
self.lennardJonesParameter.append(c)
self.lennardJonesParameter.append(d)
def initCoord(self, filepath):
"""Imports the coordinates (the rest is ignored) of a brenner *.d file:
# are comments that do not belong to the file:
# textual description:
diamond lattice
# atoms:
63
# start time and stepsize:
0.20000000000E+01 0.50000000000E+00
# cube dimension:
0.20000000000E+03 0.20000000000E+03 0.20000000000E+03
#number, element number, x,y,z coordinates, 1=movable 2=unmovable atom
1 6 0.12239212990E+01 -0.37850461006E+01 -0.76280212402E+00 2 #
2 6 -0.11044621468E+01 -0.38742597103E+01 -0.95745104551E+00 2
...
63 1 0.72413903475E+00 0.10444240570E+02 -0.26598501205E+01 2
"""
f=open(filepath, 'r')
self.title = self.ReadLine(f)
self.numAtoms = self.ReadInt(f, 1)[0]
self.starttime, self.step = self.ReadFloat(f, 2)
self.cubedimension = self.ReadFloat(f, 3)
self.movable = []
atoms = []
for i in range(self.numAtoms):
atomID = self.ReadInt(f, 1)[0]
symbol = symbols[(self.ReadInt(f, 1)[0])]
coord = self.ReadFloat(f, 3)
movable= self.ReadInt(f, 1)
atoms.append(Atom(symbol, coord))
self.movable.append(movable[0])
self.atoms = ListOfAtoms(atoms, [[self.cubedimension[0], 0, 0],[0, self.cubedimension[1], 0],[0, 0, self.cubedimension[2]]])
def GetListOfAtoms(self):
return self.atoms;
def GetMovableParam(self):
return self.movable;
def GetCubeSize(self):
return self.cubedimension;
#in FEMTOSECONDS
def GetStepSize(self):
return self.step;
#in FEMTOSECONDS
def GetStartTime(self):
return self.starttime;
def GetKFlag(self):
return self.kFlag
def GetNxmol(self):
return self.nxmol
def GetRll(self):
return self.rll
#contains tupels of [natom, xmad, epstd, sigtd]
def GetLennardJonesParameter(self):
return self.lennardJonesParameter;
#######################################
# PRIVATE FUNCTIONS #
#######################################
#reads a line
def ReadLine(self, f):
return f.readline();
#reads 'numbers' integers
def ReadInt(self, f, numbers):
result = []
for i in range(numbers):
number = ''
ch = f.read(1)
if ch=="": #EOF
return result
while ch in string.whitespace:
ch = f.read(1)
if ch=="": #EOF
return result
while ch not in string.whitespace:
number += ch
ch = f.read(1)
result.append(int(number))
return result
#reads 'numbers' floats
def ReadFloat(self, f, numbers):
result = []
for i in range(numbers):
number = ''
ch = f.read(1)
if ch=="": #EOF
return result
while ch in string.whitespace:
ch = f.read(1)
while ch not in string.whitespace:
number += ch
ch = f.read(1)
result.append(float(number))
return result
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src/sofie_pd_component/dns/model/__init__.py | SOFIE-project/Provisioning-and-Discovery | 1 | 155184 | """
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed
# with this work for additional information regarding copyright
# ownership. The ASF licenses this file to you under the Apache
# License, Version 2.0 (the "License"); you may not use this file
# except in compliance with the License. You may obtain a copy of the
# License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied. See the License for the specific language governing
# permissions and limitations under the License.
"""
import json
from decimal import Decimal
import os
import time
import uuid
from datetime import datetime
import boto3
from botocore.exceptions import ClientError
class DB(object):
def __init__(self):
super(DB, self).__init__()
self.dynamodb = boto3.resource("dynamodb", region_name="us-west-1")
def add_beacon(self, data):
table = self.dynamodb.Table("iotbeacon")
beacon = {
"ID": str(data.get("mac", None)), # mac address
"UUID": data.get("UUID", None),
"major": data.get("major", None),
"minor": data.get("minor", None),
"gps": data.get("gps", None),
"created_at": str(datetime.utcnow()),
}
try:
response = table.put_item(Item=beacon, ReturnValues="ALL_OLD")
return response
except ClientError as e:
print("Unexpected error: %s" % e)
def get_beacon(self, Id):
table = self.dynamodb.Table("iotbeacon")
try:
response = table.get_item(Key={"ID": Id})
return response
except ClientError as e:
print("Unexpected error: %s" % e)
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tb/test_arp_64.py | sergachev/verilog-ethernet | 2 | 8548 | <reponame>sergachev/verilog-ethernet
#!/usr/bin/env python
"""
Copyright (c) 2014-2018 <NAME>
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 myhdl import *
import os
import axis_ep
import eth_ep
import arp_ep
module = 'arp_64'
testbench = 'test_%s' % module
srcs = []
srcs.append("../rtl/%s.v" % module)
srcs.append("../rtl/lfsr.v")
srcs.append("../rtl/arp_cache.v")
srcs.append("../rtl/arp_eth_rx_64.v")
srcs.append("../rtl/arp_eth_tx_64.v")
srcs.append("%s.v" % testbench)
src = ' '.join(srcs)
build_cmd = "iverilog -o %s.vvp %s" % (testbench, src)
def bench():
# Inputs
clk = Signal(bool(0))
rst = Signal(bool(0))
current_test = Signal(intbv(0)[8:])
s_eth_hdr_valid = Signal(bool(0))
s_eth_dest_mac = Signal(intbv(0)[48:])
s_eth_src_mac = Signal(intbv(0)[48:])
s_eth_type = Signal(intbv(0)[16:])
s_eth_payload_axis_tdata = Signal(intbv(0)[64:])
s_eth_payload_axis_tkeep = Signal(intbv(0)[8:])
s_eth_payload_axis_tvalid = Signal(bool(0))
s_eth_payload_axis_tlast = Signal(bool(0))
s_eth_payload_axis_tuser = Signal(bool(0))
m_eth_payload_axis_tready = Signal(bool(0))
m_eth_hdr_ready = Signal(bool(0))
arp_request_valid = Signal(bool(0))
arp_request_ip = Signal(intbv(0)[32:])
arp_response_ready = Signal(bool(0))
local_mac = Signal(intbv(0)[48:])
local_ip = Signal(intbv(0)[32:])
gateway_ip = Signal(intbv(0)[32:])
subnet_mask = Signal(intbv(0)[32:])
clear_cache = Signal(bool(0))
# Outputs
s_eth_hdr_ready = Signal(bool(0))
s_eth_payload_axis_tready = Signal(bool(0))
m_eth_hdr_valid = Signal(bool(0))
m_eth_dest_mac = Signal(intbv(0)[48:])
m_eth_src_mac = Signal(intbv(0)[48:])
m_eth_type = Signal(intbv(0)[16:])
m_eth_payload_axis_tdata = Signal(intbv(0)[64:])
m_eth_payload_axis_tkeep = Signal(intbv(0)[8:])
m_eth_payload_axis_tvalid = Signal(bool(0))
m_eth_payload_axis_tlast = Signal(bool(0))
m_eth_payload_axis_tuser = Signal(bool(0))
arp_request_ready = Signal(bool(0))
arp_response_valid = Signal(bool(0))
arp_response_error = Signal(bool(0))
arp_response_mac = Signal(intbv(0)[48:])
# sources and sinks
eth_source_pause = Signal(bool(0))
eth_sink_pause = Signal(bool(0))
eth_source = eth_ep.EthFrameSource()
eth_source_logic = eth_source.create_logic(
clk,
rst,
eth_hdr_ready=s_eth_hdr_ready,
eth_hdr_valid=s_eth_hdr_valid,
eth_dest_mac=s_eth_dest_mac,
eth_src_mac=s_eth_src_mac,
eth_type=s_eth_type,
eth_payload_tdata=s_eth_payload_axis_tdata,
eth_payload_tkeep=s_eth_payload_axis_tkeep,
eth_payload_tvalid=s_eth_payload_axis_tvalid,
eth_payload_tready=s_eth_payload_axis_tready,
eth_payload_tlast=s_eth_payload_axis_tlast,
eth_payload_tuser=s_eth_payload_axis_tuser,
pause=eth_source_pause,
name='eth_source'
)
eth_sink = eth_ep.EthFrameSink()
eth_sink_logic = eth_sink.create_logic(
clk,
rst,
eth_hdr_ready=m_eth_hdr_ready,
eth_hdr_valid=m_eth_hdr_valid,
eth_dest_mac=m_eth_dest_mac,
eth_src_mac=m_eth_src_mac,
eth_type=m_eth_type,
eth_payload_tdata=m_eth_payload_axis_tdata,
eth_payload_tkeep=m_eth_payload_axis_tkeep,
eth_payload_tvalid=m_eth_payload_axis_tvalid,
eth_payload_tready=m_eth_payload_axis_tready,
eth_payload_tlast=m_eth_payload_axis_tlast,
eth_payload_tuser=m_eth_payload_axis_tuser,
pause=eth_sink_pause,
name='eth_sink'
)
arp_request_source = axis_ep.AXIStreamSource()
arp_request_source_logic = arp_request_source.create_logic(
clk,
rst,
tdata=(arp_request_ip,),
tvalid=arp_request_valid,
tready=arp_request_ready,
name='arp_request_source'
)
arp_response_sink = axis_ep.AXIStreamSink()
arp_response_sink_logic = arp_response_sink.create_logic(
clk,
rst,
tdata=(arp_response_error, arp_response_mac),
tvalid=arp_response_valid,
tready=arp_response_ready,
name='arp_response_sink'
)
# DUT
if os.system(build_cmd):
raise Exception("Error running build command")
dut = Cosimulation(
"vvp -m myhdl %s.vvp -lxt2" % testbench,
clk=clk,
rst=rst,
current_test=current_test,
s_eth_hdr_valid=s_eth_hdr_valid,
s_eth_hdr_ready=s_eth_hdr_ready,
s_eth_dest_mac=s_eth_dest_mac,
s_eth_src_mac=s_eth_src_mac,
s_eth_type=s_eth_type,
s_eth_payload_axis_tdata=s_eth_payload_axis_tdata,
s_eth_payload_axis_tkeep=s_eth_payload_axis_tkeep,
s_eth_payload_axis_tvalid=s_eth_payload_axis_tvalid,
s_eth_payload_axis_tready=s_eth_payload_axis_tready,
s_eth_payload_axis_tlast=s_eth_payload_axis_tlast,
s_eth_payload_axis_tuser=s_eth_payload_axis_tuser,
m_eth_hdr_valid=m_eth_hdr_valid,
m_eth_hdr_ready=m_eth_hdr_ready,
m_eth_dest_mac=m_eth_dest_mac,
m_eth_src_mac=m_eth_src_mac,
m_eth_type=m_eth_type,
m_eth_payload_axis_tdata=m_eth_payload_axis_tdata,
m_eth_payload_axis_tkeep=m_eth_payload_axis_tkeep,
m_eth_payload_axis_tvalid=m_eth_payload_axis_tvalid,
m_eth_payload_axis_tready=m_eth_payload_axis_tready,
m_eth_payload_axis_tlast=m_eth_payload_axis_tlast,
m_eth_payload_axis_tuser=m_eth_payload_axis_tuser,
arp_request_valid=arp_request_valid,
arp_request_ready=arp_request_ready,
arp_request_ip=arp_request_ip,
arp_response_valid=arp_response_valid,
arp_response_ready=arp_response_ready,
arp_response_error=arp_response_error,
arp_response_mac=arp_response_mac,
local_mac=local_mac,
local_ip=local_ip,
gateway_ip=gateway_ip,
subnet_mask=subnet_mask,
clear_cache=clear_cache
)
@always(delay(4))
def clkgen():
clk.next = not clk
@instance
def check():
yield delay(100)
yield clk.posedge
rst.next = 1
yield clk.posedge
rst.next = 0
yield clk.posedge
yield delay(100)
yield clk.posedge
yield clk.posedge
local_mac.next = 0xDAD1D2D3D4D5
local_ip.next = 0xc0a80165
gateway_ip.next = 0xc0a80101
subnet_mask.next = 0xFFFFFF00
yield clk.posedge
print("test 1: ARP request")
current_test.next = 1
test_frame = arp_ep.ARPFrame()
test_frame.eth_dest_mac = 0xFFFFFFFFFFFF
test_frame.eth_src_mac = 0x5A5152535455
test_frame.eth_type = 0x0806
test_frame.arp_htype = 0x0001
test_frame.arp_ptype = 0x0800
test_frame.arp_hlen = 6
test_frame.arp_plen = 4
test_frame.arp_oper = 1
test_frame.arp_sha = 0x5A5152535455
test_frame.arp_spa = 0xc0a80164
test_frame.arp_tha = 0x000000000000
test_frame.arp_tpa = 0xc0a80165
eth_source.send(test_frame.build_eth())
yield eth_sink.wait()
rx_frame = eth_sink.recv()
check_frame = arp_ep.ARPFrame()
check_frame.parse_eth(rx_frame)
assert check_frame.eth_dest_mac == 0x5A5152535455
assert check_frame.eth_src_mac == 0xDAD1D2D3D4D5
assert check_frame.eth_type == 0x0806
assert check_frame.arp_htype == 0x0001
assert check_frame.arp_ptype == 0x0800
assert check_frame.arp_hlen == 6
assert check_frame.arp_plen == 4
assert check_frame.arp_oper == 2
assert check_frame.arp_sha == 0xDAD1D2D3D4D5
assert check_frame.arp_spa == 0xc0a80165
assert check_frame.arp_tha == 0x5A5152535455
assert check_frame.arp_tpa == 0xc0a80164
yield delay(100)
yield clk.posedge
print("test 2: Cached read")
current_test.next = 2
arp_request_source.send([(0xc0a80164,)])
yield arp_response_sink.wait()
err, mac = arp_response_sink.recv().data[0]
assert not err
assert mac == 0x5A5152535455
yield delay(100)
yield clk.posedge
print("test 3: Unached read")
current_test.next = 3
arp_request_source.send([(0xc0a80166,)])
# wait for ARP request packet
yield eth_sink.wait()
rx_frame = eth_sink.recv()
check_frame = arp_ep.ARPFrame()
check_frame.parse_eth(rx_frame)
assert check_frame.eth_dest_mac == 0xFFFFFFFFFFFF
assert check_frame.eth_src_mac == 0xDAD1D2D3D4D5
assert check_frame.eth_type == 0x0806
assert check_frame.arp_htype == 0x0001
assert check_frame.arp_ptype == 0x0800
assert check_frame.arp_hlen == 6
assert check_frame.arp_plen == 4
assert check_frame.arp_oper == 1
assert check_frame.arp_sha == 0xDAD1D2D3D4D5
assert check_frame.arp_spa == 0xc0a80165
assert check_frame.arp_tha == 0x000000000000
assert check_frame.arp_tpa == 0xc0a80166
# generate response
test_frame = arp_ep.ARPFrame()
test_frame.eth_dest_mac = 0xDAD1D2D3D4D5
test_frame.eth_src_mac = 0x6A6162636465
test_frame.eth_type = 0x0806
test_frame.arp_htype = 0x0001
test_frame.arp_ptype = 0x0800
test_frame.arp_hlen = 6
test_frame.arp_plen = 4
test_frame.arp_oper = 2
test_frame.arp_sha = 0x6A6162636465
test_frame.arp_spa = 0xc0a80166
test_frame.arp_tha = 0xDAD1D2D3D4D5
test_frame.arp_tpa = 0xc0a80165
eth_source.send(test_frame.build_eth())
# wait for lookup
yield arp_response_sink.wait()
err, mac = arp_response_sink.recv().data[0]
assert not err
assert mac == 0x6A6162636465
yield delay(100)
yield clk.posedge
print("test 4: Unached read, outside of subnet")
current_test.next = 4
arp_request_source.send([(0x08080808,)])
# wait for ARP request packet
yield eth_sink.wait()
rx_frame = eth_sink.recv()
check_frame = arp_ep.ARPFrame()
check_frame.parse_eth(rx_frame)
assert check_frame.eth_dest_mac == 0xFFFFFFFFFFFF
assert check_frame.eth_src_mac == 0xDAD1D2D3D4D5
assert check_frame.eth_type == 0x0806
assert check_frame.arp_htype == 0x0001
assert check_frame.arp_ptype == 0x0800
assert check_frame.arp_hlen == 6
assert check_frame.arp_plen == 4
assert check_frame.arp_oper == 1
assert check_frame.arp_sha == 0xDAD1D2D3D4D5
assert check_frame.arp_spa == 0xc0a80165
assert check_frame.arp_tha == 0x000000000000
assert check_frame.arp_tpa == 0xc0a80101
# generate response
test_frame = arp_ep.ARPFrame()
test_frame.eth_dest_mac = 0xDAD1D2D3D4D5
test_frame.eth_src_mac = 0xAABBCCDDEEFF
test_frame.eth_type = 0x0806
test_frame.arp_htype = 0x0001
test_frame.arp_ptype = 0x0800
test_frame.arp_hlen = 6
test_frame.arp_plen = 4
test_frame.arp_oper = 2
test_frame.arp_sha = 0xAABBCCDDEEFF
test_frame.arp_spa = 0xc0a80101
test_frame.arp_tha = 0xDAD1D2D3D4D5
test_frame.arp_tpa = 0xc0a80165
eth_source.send(test_frame.build_eth())
# wait for lookup
yield arp_response_sink.wait()
err, mac = arp_response_sink.recv().data[0]
assert not err
assert mac == 0xAABBCCDDEEFF
yield delay(100)
yield clk.posedge
print("test 5: Unached read, timeout")
current_test.next = 5
arp_request_source.send([(0xc0a80167,)])
yield arp_response_sink.wait()
err, mac = arp_response_sink.recv().data[0]
assert err
# check for 4 ARP requests
assert eth_sink.count() == 4
while not eth_sink.empty():
rx_frame = eth_sink.recv()
check_frame = arp_ep.ARPFrame()
check_frame.parse_eth(rx_frame)
assert check_frame.eth_dest_mac == 0xFFFFFFFFFFFF
assert check_frame.eth_src_mac == 0xDAD1D2D3D4D5
assert check_frame.eth_type == 0x0806
assert check_frame.arp_htype == 0x0001
assert check_frame.arp_ptype == 0x0800
assert check_frame.arp_hlen == 6
assert check_frame.arp_plen == 4
assert check_frame.arp_oper == 1
assert check_frame.arp_sha == 0xDAD1D2D3D4D5
assert check_frame.arp_spa == 0xc0a80165
assert check_frame.arp_tha == 0x000000000000
assert check_frame.arp_tpa == 0xc0a80167
yield delay(100)
yield clk.posedge
print("test 6: Broadcast")
current_test.next = 6
# subnet broadcast
arp_request_source.send([(0xc0a801ff,)])
yield arp_response_sink.wait()
err, mac = arp_response_sink.recv().data[0]
assert not err
assert mac == 0xffffffffffff
# general broadcast
arp_request_source.send([(0xffffffff,)])
yield arp_response_sink.wait()
err, mac = arp_response_sink.recv().data[0]
assert not err
assert mac == 0xffffffffffff
yield delay(100)
raise StopSimulation
return instances()
def test_bench():
sim = Simulation(bench())
sim.run()
if __name__ == '__main__':
print("Running test...")
test_bench()
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leo/core/leoRst.py | thomasbuttler/leo-editor | 1,550 | 1610725 | # -*- coding: utf-8 -*-
#@+leo-ver=5-thin
#@+node:ekr.20090502071837.3: * @file leoRst.py
#@@first
#@+<< docstring >>
#@+node:ekr.20090502071837.4: ** << docstring >>
"""Support for restructured text (rST), adapted from rst3 plugin.
For full documentation, see: http://leoeditor.com/rstplugin3.html
To generate documents from rST files, Python's docutils_ module must be
installed. The code will use the SilverCity_ syntax coloring package if is is
available."""
#@-<< docstring >>
#@+<< imports >>
#@+node:ekr.20100908120927.5971: ** << imports >> (leoRst)
import io
import os
import re
import time
# Third-part imports...
try:
import docutils
import docutils.core
from docutils import parsers
from docutils.parsers import rst
except Exception:
docutils = None # type:ignore
# Leo imports.
from leo.core import leoGlobals as g
# Aliases & traces.
StringIO = io.StringIO
if 'plugins' in getattr(g.app, 'debug', []):
print('leoRst.py: docutils:', bool(docutils))
print('leoRst.py: parsers:', bool(parsers))
print('leoRst.py: rst:', bool(rst))
#@-<< imports >>
#@+others
#@+node:ekr.20150509035745.1: ** cmd (decorator)
def cmd(name):
"""Command decorator for the RstCommands class."""
return g.new_cmd_decorator(name, ['c', 'rstCommands',])
#@+node:ekr.20090502071837.33: ** class RstCommands
class RstCommands:
"""
A class to convert @rst nodes to rST markup.
"""
#@+others
#@+node:ekr.20090502071837.34: *3* rst: Birth
#@+node:ekr.20090502071837.35: *4* rst.__init__
def __init__(self, c):
"""Ctor for the RstCommand class."""
self.c = c
#
# Statistics.
self.n_intermediate = 0 # Number of intermediate files written.
self.n_docutils = 0 # Number of docutils files written.
#
# Http support for HtmlParserClass. See http_addNodeMarker.
self.anchor_map = {} # Keys are anchors. Values are positions
self.http_map = {} # Keys are named hyperlink targets. Value are positions.
self.nodeNumber = 0 # Unique node number.
#
# For writing.
self.at_auto_underlines = '' # Full set of underlining characters.
self.at_auto_write = False # True: in @auto-rst importer.
self.encoding = 'utf-8' # From any @encoding directive.
self.path = '' # The path from any @path directive.
self.result_list = [] # The intermediate results.
self.root = None # The @rst node being processed.
#
# Default settings.
self.default_underline_characters = '#=+*^~`-:><-'
self.user_filter_b = None
self.user_filter_h = None
#
# Complete the init.
self.reloadSettings()
#@+node:ekr.20210326084034.1: *4* rst.reloadSettings
def reloadSettings(self):
"""RstCommand.reloadSettings"""
c = self.c
getBool, getString = c.config.getBool, c.config.getString
#
# Reporting options.
self.silent = not getBool('rst3-verbose', default=True)
#
# Http options.
self.http_server_support = getBool('rst3-http-server-support', default=False)
self.node_begin_marker = getString('rst3-node-begin-marker') or 'http-node-marker-'
#
# Output options.
self.default_path = getString('rst3-default-path') or ''
self.generate_rst_header_comment = getBool('rst3-generate-rst-header-comment', default=True)
self.underline_characters = (
getString('rst3-underline-characters')
or self.default_underline_characters)
self.write_intermediate_file = getBool('rst3-write-intermediate-file', default=True)
self.write_intermediate_extension = getString('rst3-write-intermediate-extension') or '.txt'
#
# Docutils options.
self.call_docutils = getBool('rst3-call-docutils', default=True)
self.publish_argv_for_missing_stylesheets = getString('rst3-publish-argv-for-missing-stylesheets') or ''
self.stylesheet_embed = getBool('rst3-stylesheet-embed', default=False) # New in leoSettings.leo.
self.stylesheet_name = getString('rst3-stylesheet-name') or 'default.css'
self.stylesheet_path = getString('rst3-stylesheet-path') or ''
#@+node:ekr.20100813041139.5920: *3* rst: Entry points
#@+node:ekr.20210403150303.1: *4* rst.rst-convert-legacy-outline
@cmd('rst-convert-legacy-outline')
@cmd('convert-legacy-rst-outline')
def convert_legacy_outline(self, event=None):
"""
Convert @rst-preformat nodes and `@ @rst-options` doc parts.
"""
c = self.c
for p in c.all_unique_positions():
if g.match_word(p.h, 0, '@rst-preformat'):
self.preformat(p)
self.convert_rst_options(p)
#@+node:ekr.20210403153112.1: *5* rst.convert_rst_options
options_pat = re.compile(r'^@ @rst-options', re.MULTILINE)
default_pat = re.compile(r'^default_path\s*=(.*)$', re.MULTILINE)
def convert_rst_options(self, p):
"""
Convert options @doc parts. Change headline to @path <fn>.
"""
m1 = self.options_pat.search(p.b)
m2 = self.default_pat.search(p.b)
if m1 and m2 and m2.start() > m1.start():
fn = m2.group(1).strip()
if fn:
old_h = p.h
p.h = f"@path {fn}"
print(f"{old_h} => {p.h}")
#@+node:ekr.20210403151958.1: *5* rst.preformat
def preformat(self, p):
"""Convert p.b as if preformatted. Change headline to @rst-no-head"""
if not p.b.strip():
return
p.b = '::\n\n' + ''.join(
f" {s}" if s.strip() else '\n'
for s in g.splitLines(p.b))
old_h = p.h
p.h = '@rst-no-head'
print(f"{old_h} => {p.h}")
#@+node:ekr.20090511055302.5793: *4* rst.rst3 command & helpers
@cmd('rst3')
def rst3(self, event=None):
"""Write all @rst nodes."""
t1 = time.time()
self.n_intermediate = self.n_docutils = 0
self.processTopTree(self.c.p)
t2 = time.time()
g.es_print(
f"rst3: wrote...\n"
f"{self.n_intermediate:4} intermediate file{g.plural(self.n_intermediate)}\n"
f"{self.n_docutils:4} docutils file{g.plural(self.n_docutils)}\n"
f"in {t2 - t1:4.2f} sec.")
#@+node:ekr.20090502071837.62: *5* rst.processTopTree
def processTopTree(self, p):
"""Call processTree for @rst and @slides node p's subtree or p's ancestors."""
def predicate(p):
return self.is_rst_node(p) or g.match_word(p.h, 0, '@slides')
roots = g.findRootsWithPredicate(self.c, p, predicate=predicate)
if roots:
for p in roots:
self.processTree(p)
else:
g.warning('No @rst or @slides nodes in', p.h)
#@+node:ekr.20090502071837.63: *5* rst.processTree
def processTree(self, root):
"""Process all @rst nodes in a tree."""
for p in root.self_and_subtree():
if self.is_rst_node(p):
if self.in_rst_tree(p):
g.trace(f"ignoring nested @rst node: {p.h}")
else:
h = p.h.strip()
fn = h[4:].strip()
if fn:
source = self.write_rst_tree(p, fn)
self.write_docutils_files(fn, p, source)
elif g.match_word(h, 0, "@slides"):
if self.in_slides_tree(p):
g.trace(f"ignoring nested @slides node: {p.h}")
else:
self.write_slides(p)
#@+node:ekr.20090502071837.64: *5* rst.write_rst_tree
def write_rst_tree(self, p, fn):
"""Convert p's tree to rst sources."""
c = self.c
self.root = p.copy()
#
# Init encoding and path.
d = c.scanAllDirectives(p)
self.encoding = d.get('encoding') or 'utf-8'
self.path = d.get('path') or ''
# Write the output to self.result_list.
self.result_list = [] # All output goes here.
if self.generate_rst_header_comment:
self.result_list.append(f".. rst3: filename: {fn}")
for p in self.root.self_and_subtree():
self.writeNode(p)
source = self.compute_result()
return source
#@+node:ekr.20100822092546.5835: *5* rst.write_slides & helper
def write_slides(self, p):
"""Convert p's children to slides."""
c = self.c
p = p.copy()
h = p.h
i = g.skip_id(h, 1) # Skip the '@'
kind, fn = h[:i].strip(), h[i:].strip()
if not fn:
g.error(f"{kind} requires file name")
return
title = p.firstChild().h if p and p.firstChild() else '<no slide>'
title = title.strip().capitalize()
n_tot = p.numberOfChildren()
n = 1
d = c.scanAllDirectives(p)
self.encoding = d.get('encoding') or 'utf-8'
self.path = d.get('path') or ''
for child in p.children():
# Compute the slide's file name.
fn2, ext = g.os_path_splitext(fn)
fn2 = f"{fn2}-{n:03d}{ext}" # Use leading zeros for :glob:.
n += 1
# Write the rst sources.
self.result_list = []
self.writeSlideTitle(title, n - 1, n_tot)
self.result_list.append(child.b)
source = self.compute_result()
self.write_docutils_files(fn2, p, source)
#@+node:ekr.20100822174725.5836: *6* rst.writeSlideTitle
def writeSlideTitle(self, title, n, n_tot):
"""Write the title, underlined with the '#' character."""
if n != 1:
title = f"{title} ({n} of {n_tot})"
width = max(4, len(g.toEncodedString(title,
encoding=self.encoding, reportErrors=False)))
self.result_list.append(f"{title}\n{'#' * width}")
#@+node:ekr.20090502071837.85: *5* rst.writeNode & helper
def writeNode(self, p):
"""Append the rst srouces to self.result_list."""
c = self.c
if self.is_ignore_node(p) or self.in_ignore_tree(p):
return
if g.match_word(p.h, 0, '@rst-no-head'):
self.result_list.append(self.filter_b(c, p))
else:
self.http_addNodeMarker(p)
if p != self.root:
self.result_list.append(self.underline(p, self.filter_h(c, p)))
self.result_list.append(self.filter_b(c, p))
#@+node:ekr.20090502071837.96: *6* rst.http_addNodeMarker
def http_addNodeMarker(self, p):
"""
Add a node marker for the mod_http plugin (HtmlParserClass class).
The first three elements are a stack of tags, the rest is html code::
[
<tag n start>, <tag n end>, <other stack elements>,
<html line 1>, <html line 2>, ...
]
<other stack elements> has the same structure::
[<tag n-1 start>, <tag n-1 end>, <other stack elements>]
"""
if self.http_server_support:
self.nodeNumber += 1
anchorname = f"{self.node_begin_marker}{self.nodeNumber}"
self.result_list.append(f".. _{anchorname}:")
self.http_map[anchorname] = p.copy()
#@+node:ekr.20100813041139.5919: *4* rst.write_docutils_files & helpers
def write_docutils_files(self, fn, p, source):
"""Write source to the intermediate file and write the output from docutils.."""
junk, ext = g.os_path_splitext(fn)
ext = ext.lower()
fn = self.computeOutputFileName(fn)
ok = self.createDirectoryForFile(fn)
if not ok:
return
# Write the intermediate file.
if self.write_intermediate_file:
self.writeIntermediateFile(fn, source)
# Should we call docutils?
if not self.call_docutils:
return
if ext not in ('.htm', '.html', '.tex', '.pdf', '.s5', '.odt'): # #1884: test now.
return
# Write the result from docutils.
s = self.writeToDocutils(source, ext)
if s and ext in ('.html', '.htm'):
s = self.addTitleToHtml(s)
if not s:
return
s = g.toEncodedString(s, 'utf-8')
with open(fn, 'wb') as f:
f.write(s)
self.n_docutils += 1
self.report(fn)
#@+node:ekr.20100813041139.5913: *5* rst.addTitleToHtml
def addTitleToHtml(self, s):
"""
Replace an empty <title> element by the contents of the first <h1>
element.
"""
i = s.find('<title></title>')
if i == -1:
return s
m = re.search(r'<h1>([^<]*)</h1>', s)
if not m:
m = re.search(r'<h1><[^>]+>([^<]*)</a></h1>', s)
if m:
s = s.replace('<title></title>',
f"<title>{m.group(1)}</title>")
return s
#@+node:ekr.20090502071837.89: *5* rst.computeOutputFileName
def computeOutputFileName(self, fn):
"""Return the full path to the output file."""
c = self.c
openDirectory = c.frame.openDirectory
if self.default_path:
path = g.os_path_finalize_join(self.path, self.default_path, fn)
elif self.path:
path = g.os_path_finalize_join(self.path, fn)
elif openDirectory:
path = g.os_path_finalize_join(self.path, openDirectory, fn)
else:
path = g.os_path_finalize_join(fn)
return path
#@+node:ekr.20100813041139.5914: *5* rst.createDirectoryForFile
def createDirectoryForFile(self, fn):
"""
Create the directory for fn if
a) it doesn't exist and
b) the user options allow it.
Return True if the directory existed or was made.
"""
c, ok = self.c, False # 1815.
# Create the directory if it doesn't exist.
theDir, junk = g.os_path_split(fn)
theDir = g.os_path_finalize(theDir) # 1341
if g.os_path_exists(theDir):
return True
if c and c.config and c.config.create_nonexistent_directories:
theDir = c.expand_path_expression(theDir)
ok = g.makeAllNonExistentDirectories(theDir) # type:ignore
if not ok:
g.error('did not create:', theDir)
return ok
#@+node:ekr.20100813041139.5912: *5* rst.writeIntermediateFile
def writeIntermediateFile(self, fn, s):
"""Write s to to the file whose name is fn."""
# ext = self.getOption(p, 'write_intermediate_extension')
ext = self.write_intermediate_extension
if not ext.startswith('.'):
ext = '.' + ext
fn = fn + ext
with open(fn, 'w', encoding=self.encoding) as f:
f.write(s)
self.n_intermediate += 1
self.report(fn)
#@+node:ekr.20090502071837.65: *5* rst.writeToDocutils & helper
def writeToDocutils(self, s, ext):
"""Send s to docutils using the writer implied by ext and return the result."""
if not docutils:
g.error('writeToDocutils: docutils not present')
return None
join = g.os_path_finalize_join
openDirectory = self.c.frame.openDirectory
overrides = {'output_encoding': self.encoding}
#
# Compute the args list if the stylesheet path does not exist.
styleSheetArgsDict = self.handleMissingStyleSheetArgs()
if ext == '.pdf':
module = g.import_module('leo.plugins.leo_pdf')
if not module:
return None
writer = module.Writer() # Get an instance.
writer_name = None
else:
writer = None
for ext2, writer_name in (
('.html', 'html'),
('.htm', 'html'),
('.tex', 'latex'),
('.pdf', 'leo.plugins.leo_pdf'),
('.s5', 's5'),
('.odt', 'odt'),
):
if ext2 == ext:
break
else:
g.error(f"unknown docutils extension: {ext}")
return None
#
# Make the stylesheet path relative to open directory.
rel_stylesheet_path = self.stylesheet_path or ''
stylesheet_path = join(openDirectory, rel_stylesheet_path)
assert self.stylesheet_name
path = join(self.stylesheet_path, self.stylesheet_name)
if not self.stylesheet_embed:
rel_path = join(rel_stylesheet_path, self.stylesheet_name)
rel_path = rel_path.replace('\\', '/')
overrides['stylesheet'] = rel_path
overrides['stylesheet_path'] = None
overrides['embed_stylesheet'] = None
elif os.path.exists(path):
if ext != '.pdf':
overrides['stylesheet'] = path
overrides['stylesheet_path'] = None
elif styleSheetArgsDict:
g.es_print('using publish_argv_for_missing_stylesheets', styleSheetArgsDict)
overrides.update(styleSheetArgsDict) # MWC add args to settings
elif rel_stylesheet_path == stylesheet_path:
g.error(f"stylesheet not found: {path}")
else:
g.error('stylesheet not found\n', path)
if self.path:
g.es_print('@path:', self.path)
g.es_print('open path:', openDirectory)
if rel_stylesheet_path:
g.es_print('relative path:', rel_stylesheet_path)
try:
result = None
result = docutils.core.publish_string(source=s,
reader_name='standalone',
parser_name='restructuredtext',
writer=writer,
writer_name=writer_name,
settings_overrides=overrides)
if isinstance(result, bytes):
result = g.toUnicode(result)
except docutils.ApplicationError as error:
g.error('Docutils error:')
g.blue(error)
except Exception:
g.es_print('Unexpected docutils exception')
g.es_exception()
return result
#@+node:ekr.20090502071837.66: *6* rst.handleMissingStyleSheetArgs
def handleMissingStyleSheetArgs(self, s=None):
"""
Parse the publish_argv_for_missing_stylesheets option,
returning a dict containing the parsed args.
"""
if 0:
# See http://docutils.sourceforge.net/docs/user/config.html#documentclass
return {
'documentclass': 'report',
'documentoptions': 'english,12pt,lettersize',
}
if not s:
s = self.publish_argv_for_missing_stylesheets
if not s:
return {}
#
# Handle argument lists such as this:
# --language=en,--documentclass=report,--documentoptions=[english,12pt,lettersize]
d = {}
while s:
s = s.strip()
if not s.startswith('--'):
break
s = s[2:].strip()
eq = s.find('=')
cm = s.find(',')
if eq == -1 or (-1 < cm < eq): # key[nl] or key,
val = ''
cm = s.find(',')
if cm == -1:
key = s.strip()
s = ''
else:
key = s[:cm].strip()
s = s[cm + 1 :].strip()
else: # key = val
key = s[:eq].strip()
s = s[eq + 1 :].strip()
if s.startswith('['): # [...]
rb = s.find(']')
if rb == -1:
break # Bad argument.
val = s[: rb + 1]
s = s[rb + 1 :].strip()
if s.startswith(','):
s = s[1:].strip()
else: # val[nl] or val,
cm = s.find(',')
if cm == -1:
val = s
s = ''
else:
val = s[:cm].strip()
s = s[cm + 1 :].strip()
if not key:
break
if not val.strip():
val = '1'
d[str(key)] = str(val)
return d
#@+node:ekr.20090512153903.5803: *4* rst.writeAtAutoFile & helpers
def writeAtAutoFile(self, p, fileName, outputFile):
"""
at.writeAtAutoContents calls this method to write an @auto tree
containing imported rST code.
at.writeAtAutoContents will close the output file.
"""
self.result_list = []
self.initAtAutoWrite(p)
self.root = p.copy()
after = p.nodeAfterTree()
if not self.isSafeWrite(p):
return False
try:
self.at_auto_write = True # Set the flag for underline.
p = p.firstChild() # A hack: ignore the root node.
while p and p != after:
self.writeNode(p) # side effect: advances p
s = self.compute_result()
outputFile.write(s)
ok = True
except Exception:
ok = False
finally:
self.at_auto_write = False
return ok
#@+node:ekr.20090513073632.5733: *5* rst.initAtAutoWrite
def initAtAutoWrite(self, p):
"""Init underlining for for an @auto write."""
# User-defined underlining characters make no sense in @auto-rst.
d = p.v.u.get('rst-import', {})
underlines2 = d.get('underlines2', '')
#
# Do *not* set a default for overlining characters.
if len(underlines2) > 1:
underlines2 = underlines2[0]
g.warning(f"too many top-level underlines, using {underlines2}")
underlines1 = d.get('underlines1', '')
#
# Pad underlines with default characters.
default_underlines = '=+*^~"\'`-:><_'
if underlines1:
for ch in default_underlines[1:]:
if ch not in underlines1:
underlines1 = underlines1 + ch
else:
underlines1 = default_underlines
self.at_auto_underlines = underlines2 + underlines1
self.underlines1 = underlines1
self.underlines2 = underlines2
#@+node:ekr.20210401155057.7: *5* rst.isSafeWrite
def isSafeWrite(self, p):
"""
Return True if node p contributes nothing but
rst-options to the write.
"""
lines = g.splitLines(p.b)
for z in lines:
if z.strip() and not z.startswith('@') and not z.startswith('.. '):
# A real line that will not be written.
g.error('unsafe @auto-rst')
g.es('body text will be ignored in\n', p.h)
return False
return True
#@+node:ekr.20090502071837.67: *4* rst.writeNodeToString
def writeNodeToString(self, p):
"""
rst.writeNodeToString: A utility for scripts. Not used in Leo.
Write p's tree to a string as if it were an @rst node.
Return the string.
"""
return self.write_rst_tree(p, fn=p.h)
#@+node:ekr.20210329105456.1: *3* rst: Filters
#@+node:ekr.20210329105948.1: *4* rst.filter_b & self.filter_h
def filter_b(self, c, p):
"""
Filter p.b with user_filter_b function.
Don't allow filtering when in the @auto-rst logic.
"""
if self.user_filter_b and not self.at_auto_write:
try:
# pylint: disable=not-callable
return self.user_filter_b(c, p)
except Exception:
g.es_exception()
self.user_filter_b = None
return p.b
def filter_h(self, c, p):
"""
Filter p.h with user_filter_h function.
Don't allow filtering when in the @auto-rst logic.
"""
if self.user_filter_h and not self.at_auto_write:
try:
# pylint: disable=not-callable
return self.user_filter_h(c, p)
except Exception:
g.es_exception()
self.user_filter_h = None
return p.h
#@+node:ekr.20210329111528.1: *4* rst.register_*_filter
def register_body_filter(self, f):
"""Register the user body filter."""
self.user_filter_b = f
def register_headline_filter(self, f):
"""Register the user headline filter."""
self.user_filter_h = f
#@+node:ekr.20210331084407.1: *3* rst: Predicates
def in_ignore_tree(self, p):
return any(g.match_word(p2.h, 0, '@rst-ignore-tree')
for p2 in self.rst_parents(p))
def in_rst_tree(self, p):
return any(self.is_rst_node(p2) for p2 in self.rst_parents(p))
def in_slides_tree(self, p):
return any(g.match_word(p.h, 0, "@slides") for p2 in self.rst_parents(p))
def is_ignore_node(self, p):
return g.match_words(p.h, 0, ('@rst-ignore', '@rst-ignore-node'))
def is_rst_node(self, p):
return g.match_word(p.h, 0, "@rst") and not g.match(p.h, 0, "@rst-")
def rst_parents(self, p):
for p2 in p.parents():
if p2 == self.root:
return
yield p2
#@+node:ekr.20090502071837.88: *3* rst: Utils
#@+node:ekr.20210326165315.1: *4* rst.compute_result
def compute_result(self):
"""Concatenate all strings in self.result, ensuring exactly one blank line between strings."""
return ''.join(f"{s.rstrip()}\n\n" for s in self.result_list if s.strip())
#@+node:ekr.20090502071837.43: *4* rst.dumpDict
def dumpDict(self, d, tag):
"""Dump the given settings dict."""
g.pr(tag + '...')
for key in sorted(d):
g.pr(f" {key:20} {d.get(key)}")
#@+node:ekr.20090502071837.90: *4* rst.encode
def encode(self, s):
"""return s converted to an encoded string."""
return g.toEncodedString(s, encoding=self.encoding, reportErrors=True)
#@+node:ekr.20090502071837.91: *4* rst.report
def report(self, name):
"""Issue a report to the log pane."""
if self.silent:
return
name = g.os_path_finalize(name) # 1341
g.pr(f"wrote: {name}")
#@+node:ekr.20090502071837.92: *4* rst.rstComment
def rstComment(self, s):
return f".. {s}"
#@+node:ekr.20090502071837.93: *4* rst.underline
def underline(self, p, s):
"""
Return the underlining string to be used at the given level for string s.
This includes the headline, and possibly a leading overlining line.
"""
# Never add the root's headline.
if not s:
return ''
encoded_s = g.toEncodedString(s, encoding=self.encoding, reportErrors=False)
if self.at_auto_write:
# We *might* generate overlines for top-level sections.
u = self.at_auto_underlines
level = p.level() - self.root.level()
# This is tricky. The index n depends on several factors.
if self.underlines2:
level -= 1 # There *is* a double-underlined section.
n = level
else:
n = level - 1
if 0 <= n < len(u):
ch = u[n]
elif u:
ch = u[-1]
else:
g.trace('can not happen: no u')
ch = '#'
# Write longer underlines for non-ascii characters.
n = max(4, len(encoded_s))
if level == 0 and self.underlines2:
# Generate an overline and an underline.
return f"{ch * n}\n{p.h}\n{ch * n}"
# Generate only an underline.
return f"{p.h}\n{ch * n}"
#
# The user is responsible for top-level overlining.
u = self.underline_characters # '''#=+*^~"'`-:><_'''
level = max(0, p.level() - self.root.level())
level = min(level + 1, len(u) - 1) # Reserve the first character for explicit titles.
ch = u[level]
n = max(4, len(encoded_s))
return f"{s.strip()}\n{ch * n}"
#@-others
#@-others
#@@language python
#@@tabwidth -4
#@@pagewidth 70
#@-leo
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functest/tests/unit/odl/test_odl.py | hashnfv/hashnfv-functest | 0 | 7320 | <gh_stars>0
#!/usr/bin/env python
# Copyright (c) 2016 Orange and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
"""Define the classes required to fully cover odl."""
import errno
import logging
import os
import unittest
from keystoneauth1.exceptions import auth_plugins
import mock
from robot.errors import DataError, RobotError
from robot.result import model
from robot.utils.robottime import timestamp_to_secs
import six
from six.moves import urllib
from functest.core import testcase
from functest.opnfv_tests.sdn.odl import odl
__author__ = "<NAME> <<EMAIL>>"
class ODLVisitorTesting(unittest.TestCase):
"""The class testing ODLResultVisitor."""
# pylint: disable=missing-docstring
def setUp(self):
self.visitor = odl.ODLResultVisitor()
def test_empty(self):
self.assertFalse(self.visitor.get_data())
def test_ok(self):
data = {'name': 'foo',
'parent': 'bar',
'status': 'PASS',
'starttime': "20161216 16:00:00.000",
'endtime': "20161216 16:00:01.000",
'elapsedtime': 1000,
'text': 'Hello, World!',
'critical': True}
test = model.TestCase(
name=data['name'], status=data['status'], message=data['text'],
starttime=data['starttime'], endtime=data['endtime'])
test.parent = mock.Mock()
config = {'name': data['parent'],
'criticality.test_is_critical.return_value': data[
'critical']}
test.parent.configure_mock(**config)
self.visitor.visit_test(test)
self.assertEqual(self.visitor.get_data(), [data])
class ODLTesting(unittest.TestCase):
"""The super class which testing classes could inherit."""
# pylint: disable=missing-docstring
logging.disable(logging.CRITICAL)
_keystone_ip = "127.0.0.1"
_neutron_url = "http://127.0.0.2:9696"
_sdn_controller_ip = "127.0.0.3"
_os_auth_url = "http://{}:5000/v3".format(_keystone_ip)
_os_projectname = "admin"
_os_username = "admin"
_os_password = "<PASSWORD>"
_odl_webport = "8080"
_odl_restconfport = "8181"
_odl_username = "admin"
_odl_password = "<PASSWORD>"
_os_userdomainname = 'Default'
_os_projectdomainname = 'Default'
def setUp(self):
for var in ("INSTALLER_TYPE", "SDN_CONTROLLER", "SDN_CONTROLLER_IP"):
if var in os.environ:
del os.environ[var]
os.environ["OS_AUTH_URL"] = self._os_auth_url
os.environ["OS_USERNAME"] = self._os_username
os.environ["OS_USER_DOMAIN_NAME"] = self._os_userdomainname
os.environ["OS_PASSWORD"] = self._os_password
os.environ["OS_PROJECT_NAME"] = self._os_projectname
os.environ["OS_PROJECT_DOMAIN_NAME"] = self._os_projectdomainname
os.environ["OS_PASSWORD"] = self._os_password
self.test = odl.ODLTests(case_name='odl', project_name='functest')
self.defaultargs = {'odlusername': self._odl_username,
'odlpassword': self._odl_password,
'neutronurl': "http://{}:9696".format(
self._keystone_ip),
'osauthurl': self._os_auth_url,
'osusername': self._os_username,
'osuserdomainname': self._os_userdomainname,
'osprojectname': self._os_projectname,
'osprojectdomainname': self._os_projectdomainname,
'ospassword': self._os_password,
'odlip': self._keystone_ip,
'odlwebport': self._odl_webport,
'odlrestconfport': self._odl_restconfport,
'pushtodb': False}
class ODLParseResultTesting(ODLTesting):
"""The class testing ODLTests.parse_results()."""
# pylint: disable=missing-docstring
_config = {'name': 'dummy', 'starttime': '20161216 16:00:00.000',
'endtime': '20161216 16:00:01.000'}
@mock.patch('robot.api.ExecutionResult', side_effect=DataError)
def test_raises_exc(self, mock_method):
with self.assertRaises(DataError):
self.test.parse_results()
mock_method.assert_called_once_with(
os.path.join(odl.ODLTests.res_dir, 'output.xml'))
def _test_result(self, config, result):
suite = mock.Mock()
suite.configure_mock(**config)
with mock.patch('robot.api.ExecutionResult',
return_value=mock.Mock(suite=suite)):
self.test.parse_results()
self.assertEqual(self.test.result, result)
self.assertEqual(self.test.start_time,
timestamp_to_secs(config['starttime']))
self.assertEqual(self.test.stop_time,
timestamp_to_secs(config['endtime']))
self.assertEqual(self.test.details,
{'description': config['name'], 'tests': []})
def test_null_passed(self):
self._config.update({'statistics.critical.passed': 0,
'statistics.critical.total': 20})
self._test_result(self._config, 0)
def test_no_test(self):
self._config.update({'statistics.critical.passed': 20,
'statistics.critical.total': 0})
self._test_result(self._config, 0)
def test_half_success(self):
self._config.update({'statistics.critical.passed': 10,
'statistics.critical.total': 20})
self._test_result(self._config, 50)
def test_success(self):
self._config.update({'statistics.critical.passed': 20,
'statistics.critical.total': 20})
self._test_result(self._config, 100)
class ODLRobotTesting(ODLTesting):
"""The class testing ODLTests.set_robotframework_vars()."""
# pylint: disable=missing-docstring
@mock.patch('fileinput.input', side_effect=Exception())
def test_set_vars_ko(self, mock_method):
self.assertFalse(self.test.set_robotframework_vars())
mock_method.assert_called_once_with(
os.path.join(odl.ODLTests.odl_test_repo,
'csit/variables/Variables.robot'), inplace=True)
@mock.patch('fileinput.input', return_value=[])
def test_set_vars_empty(self, mock_method):
self.assertTrue(self.test.set_robotframework_vars())
mock_method.assert_called_once_with(
os.path.join(odl.ODLTests.odl_test_repo,
'csit/variables/Variables.robot'), inplace=True)
@mock.patch('sys.stdout', new_callable=six.StringIO)
def _test_set_vars(self, msg1, msg2, *args):
line = mock.MagicMock()
line.__iter__.return_value = [msg1]
with mock.patch('fileinput.input', return_value=line) as mock_method:
self.assertTrue(self.test.set_robotframework_vars())
mock_method.assert_called_once_with(
os.path.join(odl.ODLTests.odl_test_repo,
'csit/variables/Variables.robot'), inplace=True)
self.assertEqual(args[0].getvalue(), "{}\n".format(msg2))
def test_set_vars_auth_default(self):
self._test_set_vars(
"@{AUTH} ",
"@{AUTH} admin admin")
def test_set_vars_auth1(self):
self._test_set_vars(
"@{AUTH1} foo bar",
"@{AUTH1} foo bar")
@mock.patch('sys.stdout', new_callable=six.StringIO)
def test_set_vars_auth_foo(self, *args):
line = mock.MagicMock()
line.__iter__.return_value = ["@{AUTH} "]
with mock.patch('fileinput.input', return_value=line) as mock_method:
self.assertTrue(self.test.set_robotframework_vars('foo', 'bar'))
mock_method.assert_called_once_with(
os.path.join(odl.ODLTests.odl_test_repo,
'csit/variables/Variables.robot'), inplace=True)
self.assertEqual(
args[0].getvalue(),
"@{AUTH} foo bar\n")
class ODLMainTesting(ODLTesting):
"""The class testing ODLTests.run_suites()."""
# pylint: disable=missing-docstring
def _get_run_suites_kwargs(self, key=None):
kwargs = {'odlusername': self._odl_username,
'odlpassword': self._odl_password,
'neutronurl': self._neutron_url,
'osauthurl': self._os_auth_url,
'osusername': self._os_username,
'osuserdomainname': self._os_userdomainname,
'osprojectname': self._os_projectname,
'osprojectdomainname': self._os_projectdomainname,
'ospassword': self._os_password,
'odlip': self._sdn_controller_ip,
'odlwebport': self._odl_webport,
'odlrestconfport': self._odl_restconfport}
if key:
del kwargs[key]
return kwargs
def _test_run_suites(self, status, *args):
kwargs = self._get_run_suites_kwargs()
self.assertEqual(self.test.run_suites(**kwargs), status)
if len(args) > 0:
args[0].assert_called_once_with(
odl.ODLTests.res_dir)
if len(args) > 1:
variable = [
'KEYSTONEURL:{}://{}'.format(
urllib.parse.urlparse(self._os_auth_url).scheme,
urllib.parse.urlparse(self._os_auth_url).netloc),
'NEUTRONURL:{}'.format(self._neutron_url),
'OS_AUTH_URL:"{}"'.format(self._os_auth_url),
'OSUSERNAME:"{}"'.format(self._os_username),
'OSUSERDOMAINNAME:"{}"'.format(self._os_userdomainname),
'OSTENANTNAME:"{}"'.format(self._os_projectname),
'OSPROJECTDOMAINNAME:"{}"'.format(self._os_projectdomainname),
'OSPASSWORD:"{}"'.format(self._os_password),
'ODL_SYSTEM_IP:{}'.format(self._sdn_controller_ip),
'PORT:{}'.format(self._odl_webport),
'RESTCONFPORT:{}'.format(self._odl_restconfport)]
args[1].assert_called_once_with(
odl.ODLTests.basic_suite_dir,
odl.ODLTests.neutron_suite_dir,
log='NONE',
output=os.path.join(odl.ODLTests.res_dir, 'output.xml'),
report='NONE',
stdout=mock.ANY,
variable=variable)
if len(args) > 2:
args[2].assert_called_with(
os.path.join(odl.ODLTests.res_dir, 'stdout.txt'))
def _test_no_keyword(self, key):
kwargs = self._get_run_suites_kwargs(key)
self.assertEqual(self.test.run_suites(**kwargs),
testcase.TestCase.EX_RUN_ERROR)
def test_no_odlusername(self):
self._test_no_keyword('odlusername')
def test_no_odlpassword(self):
self._test_no_keyword('odlpassword')
def test_no_neutronurl(self):
self._test_no_keyword('neutronurl')
def test_no_osauthurl(self):
self._test_no_keyword('osauthurl')
def test_no_osusername(self):
self._test_no_keyword('osusername')
def test_no_osprojectname(self):
self._test_no_keyword('osprojectname')
def test_no_ospassword(self):
self._test_no_keyword('ospassword')
def test_no_odlip(self):
self._test_no_keyword('odlip')
def test_no_odlwebport(self):
self._test_no_keyword('odlwebport')
def test_no_odlrestconfport(self):
self._test_no_keyword('odlrestconfport')
def test_set_vars_ko(self):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=False) as mock_object:
self._test_run_suites(testcase.TestCase.EX_RUN_ERROR)
mock_object.assert_called_once_with(
self._odl_username, self._odl_password)
@mock.patch('os.makedirs', side_effect=Exception)
def test_makedirs_exc(self, mock_method):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True), \
self.assertRaises(Exception):
self._test_run_suites(testcase.TestCase.EX_RUN_ERROR,
mock_method)
@mock.patch('os.makedirs', side_effect=OSError)
def test_makedirs_oserror(self, mock_method):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True):
self._test_run_suites(testcase.TestCase.EX_RUN_ERROR,
mock_method)
@mock.patch('robot.run', side_effect=RobotError)
@mock.patch('os.makedirs')
def test_run_ko(self, *args):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True), \
self.assertRaises(RobotError):
self._test_run_suites(testcase.TestCase.EX_RUN_ERROR, *args)
@mock.patch('robot.run')
@mock.patch('os.makedirs')
def test_parse_results_ko(self, *args):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True), \
mock.patch.object(self.test, 'parse_results',
side_effect=RobotError):
self._test_run_suites(testcase.TestCase.EX_RUN_ERROR, *args)
@mock.patch('robot.run')
@mock.patch('os.makedirs')
def test_ok(self, *args):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True), \
mock.patch.object(self.test, 'parse_results'):
self._test_run_suites(testcase.TestCase.EX_OK, *args)
@mock.patch('robot.run')
@mock.patch('os.makedirs', side_effect=OSError(errno.EEXIST, ''))
def test_makedirs_oserror17(self, *args):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True), \
mock.patch.object(self.test, 'parse_results'):
self._test_run_suites(testcase.TestCase.EX_OK, *args)
@mock.patch('robot.run', return_value=1)
@mock.patch('os.makedirs')
def test_testcases_in_failure(self, *args):
with mock.patch.object(self.test, 'set_robotframework_vars',
return_value=True), \
mock.patch.object(self.test, 'parse_results'):
self._test_run_suites(testcase.TestCase.EX_OK, *args)
class ODLRunTesting(ODLTesting):
"""The class testing ODLTests.run()."""
# pylint: disable=missing-docstring
def _test_no_env_var(self, var):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
del os.environ[var]
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def _test_run(self, status=testcase.TestCase.EX_OK,
exception=None, **kwargs):
odlip = kwargs['odlip'] if 'odlip' in kwargs else '127.0.0.3'
odlwebport = kwargs['odlwebport'] if 'odlwebport' in kwargs else '8080'
odlrestconfport = (kwargs['odlrestconfport']
if 'odlrestconfport' in kwargs else '8181')
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
if exception:
self.test.run_suites = mock.Mock(side_effect=exception)
else:
self.test.run_suites = mock.Mock(return_value=status)
self.assertEqual(self.test.run(), status)
self.test.run_suites.assert_called_once_with(
odl.ODLTests.default_suites,
neutronurl=self._neutron_url,
odlip=odlip, odlpassword=self._odl_password,
odlrestconfport=odlrestconfport,
odlusername=self._odl_username, odlwebport=odlwebport,
osauthurl=self._os_auth_url,
ospassword=self._os_password,
osprojectname=self._os_projectname,
osusername=self._os_username,
osprojectdomainname=self._os_projectdomainname,
osuserdomainname=self._os_userdomainname)
def _test_multiple_suites(self, suites,
status=testcase.TestCase.EX_OK, **kwargs):
odlip = kwargs['odlip'] if 'odlip' in kwargs else '127.0.0.3'
odlwebport = kwargs['odlwebport'] if 'odlwebport' in kwargs else '8080'
odlrestconfport = (kwargs['odlrestconfport']
if 'odlrestconfport' in kwargs else '8181')
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
self.test.run_suites = mock.Mock(return_value=status)
self.assertEqual(self.test.run(suites=suites), status)
self.test.run_suites.assert_called_once_with(
suites,
neutronurl=self._neutron_url,
odlip=odlip, odlpassword=self._odl_password,
odlrestconfport=odlrestconfport,
odlusername=self._odl_username, odlwebport=odlwebport,
osauthurl=self._os_auth_url,
ospassword=self._os_password,
osprojectname=self._os_projectname,
osusername=self._os_username,
osprojectdomainname=self._os_projectdomainname,
osuserdomainname=self._os_userdomainname)
def test_exc(self):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
side_effect=auth_plugins.MissingAuthPlugin()):
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def test_no_os_auth_url(self):
self._test_no_env_var("OS_AUTH_URL")
def test_no_os_username(self):
self._test_no_env_var("OS_USERNAME")
def test_no_os_password(self):
self._test_no_env_var("OS_PASSWORD")
def test_no_os__name(self):
self._test_no_env_var("OS_PROJECT_NAME")
def test_run_suites_false(self):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
self._test_run(testcase.TestCase.EX_RUN_ERROR,
odlip=self._sdn_controller_ip,
odlwebport=self._odl_webport)
def test_run_suites_exc(self):
with self.assertRaises(Exception):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
self._test_run(status=testcase.TestCase.EX_RUN_ERROR,
exception=Exception(),
odlip=self._sdn_controller_ip,
odlwebport=self._odl_webport)
def test_no_sdn_controller_ip(self):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def test_without_installer_type(self):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
self._test_run(testcase.TestCase.EX_OK,
odlip=self._sdn_controller_ip,
odlwebport=self._odl_webport)
def test_suites(self):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
self._test_multiple_suites(
[odl.ODLTests.basic_suite_dir],
testcase.TestCase.EX_OK,
odlip=self._sdn_controller_ip,
odlwebport=self._odl_webport)
def test_fuel(self):
os.environ["INSTALLER_TYPE"] = "fuel"
self._test_run(testcase.TestCase.EX_OK,
odlip=urllib.parse.urlparse(self._neutron_url).hostname,
odlwebport='8181',
odlrestconfport='8282')
def test_apex_no_controller_ip(self):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
os.environ["INSTALLER_TYPE"] = "apex"
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def test_apex(self):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
os.environ["INSTALLER_TYPE"] = "apex"
self._test_run(testcase.TestCase.EX_OK,
odlip=self._sdn_controller_ip, odlwebport='8081',
odlrestconfport='8081')
def test_netvirt_no_controller_ip(self):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
os.environ["INSTALLER_TYPE"] = "netvirt"
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def test_netvirt(self):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
os.environ["INSTALLER_TYPE"] = "netvirt"
self._test_run(testcase.TestCase.EX_OK,
odlip=self._sdn_controller_ip, odlwebport='8081',
odlrestconfport='8081')
def test_joid_no_controller_ip(self):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
os.environ["INSTALLER_TYPE"] = "joid"
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def test_joid(self):
os.environ["SDN_CONTROLLER"] = self._sdn_controller_ip
os.environ["INSTALLER_TYPE"] = "joid"
self._test_run(testcase.TestCase.EX_OK,
odlip=self._sdn_controller_ip, odlwebport='8080')
def test_compass(self):
os.environ["INSTALLER_TYPE"] = "compass"
self._test_run(testcase.TestCase.EX_OK,
odlip=urllib.parse.urlparse(self._neutron_url).hostname,
odlrestconfport='8080')
def test_daisy_no_controller_ip(self):
with mock.patch('functest.utils.openstack_utils.get_endpoint',
return_value=ODLTesting._neutron_url):
os.environ["INSTALLER_TYPE"] = "daisy"
self.assertEqual(self.test.run(),
testcase.TestCase.EX_RUN_ERROR)
def test_daisy(self):
os.environ["SDN_CONTROLLER_IP"] = self._sdn_controller_ip
os.environ["INSTALLER_TYPE"] = "daisy"
self._test_run(testcase.TestCase.EX_OK,
odlip=self._sdn_controller_ip, odlwebport='8181',
odlrestconfport='8087')
class ODLArgParserTesting(ODLTesting):
"""The class testing ODLParser."""
# pylint: disable=missing-docstring
def setUp(self):
self.parser = odl.ODLParser()
super(ODLArgParserTesting, self).setUp()
def test_default(self):
self.assertEqual(self.parser.parse_args(), self.defaultargs)
def test_basic(self):
self.defaultargs['neutronurl'] = self._neutron_url
self.defaultargs['odlip'] = self._sdn_controller_ip
self.assertEqual(
self.parser.parse_args(
["--neutronurl={}".format(self._neutron_url),
"--odlip={}".format(self._sdn_controller_ip)]),
self.defaultargs)
@mock.patch('sys.stderr', new_callable=six.StringIO)
def test_fail(self, mock_method):
self.defaultargs['foo'] = 'bar'
with self.assertRaises(SystemExit):
self.parser.parse_args(["--foo=bar"])
self.assertTrue(mock_method.getvalue().startswith("usage:"))
def _test_arg(self, arg, value):
self.defaultargs[arg] = value
self.assertEqual(
self.parser.parse_args(["--{}={}".format(arg, value)]),
self.defaultargs)
def test_odlusername(self):
self._test_arg('odlusername', 'foo')
def test_odlpassword(self):
self._test_arg('odlpassword', 'foo')
def test_osauthurl(self):
self._test_arg('osauthurl', 'http://127.0.0.4:5000/v2')
def test_neutronurl(self):
self._test_arg('neutronurl', 'http://127.0.0.4:9696')
def test_osusername(self):
self._test_arg('osusername', 'foo')
def test_osuserdomainname(self):
self._test_arg('osuserdomainname', 'domain')
def test_osprojectname(self):
self._test_arg('osprojectname', 'foo')
def test_osprojectdomainname(self):
self._test_arg('osprojectdomainname', 'domain')
def test_ospassword(self):
self._test_arg('ospassword', 'foo')
def test_odlip(self):
self._test_arg('odlip', '127.0.0.4')
def test_odlwebport(self):
self._test_arg('odlwebport', '80')
def test_odlrestconfport(self):
self._test_arg('odlrestconfport', '80')
def test_pushtodb(self):
self.defaultargs['pushtodb'] = True
self.assertEqual(self.parser.parse_args(["--{}".format('pushtodb')]),
self.defaultargs)
def test_multiple_args(self):
self.defaultargs['neutronurl'] = self._neutron_url
self.defaultargs['odlip'] = self._sdn_controller_ip
self.assertEqual(
self.parser.parse_args(
["--neutronurl={}".format(self._neutron_url),
"--odlip={}".format(self._sdn_controller_ip)]),
self.defaultargs)
if __name__ == "__main__":
logging.disable(logging.CRITICAL)
unittest.main(verbosity=2)
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code_week11_76_712/unique_paths.py | dylanlee101/leetcode | 0 | 1837 | '''
一个机器人位于一个 m x n 网格的左上角 （起始点在下图中标记为“Start” ）。
机器人每次只能向下或者向右移动一步。机器人试图达到网格的右下角（在下图中标记为“Finish”）。
问总共有多少条不同的路径？
例如，上图是一个7 x 3 的网格。有多少可能的路径？
示例 1:
输入: m = 3, n = 2
输出: 3
解释:
从左上角开始，总共有 3 条路径可以到达右下角。
1. 向右 -> 向右 -> 向下
2. 向右 -> 向下 -> 向右
3. 向下 -> 向右 -> 向右
示例 2:
输入: m = 7, n = 3
输出: 28
来源：力扣（LeetCode）
链接：https://leetcode-cn.com/problems/unique-paths
'''
class Solution:
def uniquePaths(self, m: int, n: int) -> int:
dp = [1] + [0] * n
for i in range(m):
for j in range(n):
dp[j] = dp[j] + dp[j-1]
return dp[-2] | [
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example/example.py | jaewoolee82/translatetool | 2 | 172806 | <filename>example/example.py
import translatetool
import asyncio
async def runit():
add = translatetool.translate("Papago Client ID", "Papago Client Secret")
add1 = await add.translate("ko", "en", "안녕하세요, 테스트 입니다.") # 언어: ko, en, ja, zh-CN, zh-TW, vi, id, th, de, ru, es, it, fr
print(add1)
asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy())
asyncio.run(runit())
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] |
spacy/lang/tt/__init__.py | algteam/spacy_zh_model | 5 | 1600179 | <reponame>algteam/spacy_zh_model<filename>spacy/lang/tt/__init__.py
# coding: utf8
from __future__ import unicode_literals
from .lex_attrs import LEX_ATTRS
from .punctuation import TOKENIZER_INFIXES
from .stop_words import STOP_WORDS
from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
from ..tokenizer_exceptions import BASE_EXCEPTIONS
from ...attrs import LANG
from ...language import Language
from ...util import update_exc
class TatarDefaults(Language.Defaults):
lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
lex_attr_getters[LANG] = lambda text: 'tt'
lex_attr_getters.update(LEX_ATTRS)
tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
infixes = tuple(TOKENIZER_INFIXES)
stop_words = STOP_WORDS
class Tatar(Language):
lang = 'tt'
Defaults = TatarDefaults
__all__ = ['Tatar']
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scripts/06_I.py | HalfInner/AoC2019 | 1 | 180439 | '''
--- Day 6: Universal Orbit Map ---
You've landed at the Universal Orbit Map facility on Mercury. Because navigation in space often involves transferring between orbits, the orbit maps here are useful for finding efficient routes between, for example, you and Santa. You download a map of the local orbits (your puzzle input).
Except for the universal Center of Mass (COM), every object in space is in orbit around exactly one other object. An orbit looks roughly like this:
\
\
|
|
AAA--> o o <--BBB
|
|
/
/
In this diagram, the object BBB is in orbit around AAA. The path that BBB takes around AAA (drawn with lines) is only partly shown. In the map data, this orbital relationship is written AAA)BBB, which means "BBB is in orbit around AAA".
Before you use your map data to plot a course, you need to make sure it wasn't corrupted during the download. To verify maps, the Universal Orbit Map facility uses orbit count checksums - the total number of direct orbits (like the one shown above) and indirect orbits.
Whenever A orbits B and B orbits C, then A indirectly orbits C. This chain can be any number of objects long: if A orbits B, B orbits C, and C orbits D, then A indirectly orbits D.
For example, suppose you have the following map:
COM)B
B)C
C)D
D)E
E)F
B)G
G)H
D)I
E)J
J)K
K)L
Visually, the above map of orbits looks like this:
G - H J - K - L
/ /
COM - B - C - D - E - F
\
I
In this visual representation, when two objects are connected by a line, the one on the right directly orbits the one on the left.
Here, we can count the total number of orbits as follows:
D directly orbits C and indirectly orbits B and COM, a total of 3 orbits.
L directly orbits K and indirectly orbits J, E, D, C, B, and COM, a total of 7 orbits.
COM orbits nothing.
The total number of direct and indirect orbits in this example is 42.
What is the total number of direct and indirect orbits in your map data?
'''
import sys
import anytree
GLOBAL_PATH = {}
def calculate_depth(universe, root_planet='COM', depth=0, path=[]):
# print('{}>{}({})'.format(depth, root_planet, depth), end='\n')
path.append(root_planet)
if root_planet in ('YOU', 'SAN'):
GLOBAL_PATH[root_planet] = path.copy()
print('Path', path)
if root_planet not in universe:
path.pop()
return 0, depth
cur_indirect_orbits = depth
cur_direct_orbits = len(universe[root_planet])
for planet in universe[root_planet]:
planet_direct_orbits, planet_indirect_orbits = calculate_depth(universe, planet, depth + 1, path)
cur_direct_orbits += planet_direct_orbits
cur_indirect_orbits += planet_indirect_orbits
path.pop()
return cur_direct_orbits, cur_indirect_orbits
def assembly_universe(orbits):
universe = {}
for source, ring in orbits:
if source not in universe.keys():
universe[source] = []
universe[source].append(ring)
# print('Universe', universe)
return universe
def parse_file(file_path: str):
orbits = []
with open(file_path, 'r') as f:
for line in f:
orbit = line.replace('\n', '').replace('\r', '').split(')')
orbits.append((orbit[0], orbit[1]))
return orbits
def main(argv):
center_of_mass = 'COM'
print(calculate_depth(assembly_universe(parse_file(argv[1])), center_of_mass))
step = 0
idx = 0
while GLOBAL_PATH['YOU'][idx] == GLOBAL_PATH['SAN'][idx]: idx += 1
print('idx={} YOUdepth={} SANdepth={} diff_you={} diff_san={} diff_you_san={}'.format(
idx,
len(GLOBAL_PATH['YOU']),
len(GLOBAL_PATH['SAN']),
len(GLOBAL_PATH['YOU']) - idx,
len(GLOBAL_PATH['SAN']) - idx,
len(GLOBAL_PATH['YOU']) - idx + len(GLOBAL_PATH['SAN']) - idx))
if __name__ == "__main__":
sys.exit(main(sys.argv))
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ping-pong_main.py | AlgoritmikaPodolsk/ping_pong | 1 | 176739 | from pygame import *
from random import randint
# подгружаем отдельно функции для работы со шрифтом
font.init()
font1 = font.Font(None, 80)
back = (100, 100, 200)
lose = font1.render('YOU LOSE!', True, (180, 0, 0))
# класс-родитель для других спрайтов
class GameSprite(sprite.Sprite):
# конструктор класса
def __init__(self, player_image, player_x, player_y, size_x, size_y, player_speed):
# Вызываем конструктор класса (Sprite):
sprite.Sprite.__init__(self)
# каждый спрайт должен хранить свойство image - изображение
self.image = transform.scale(image.load(player_image), (size_x, size_y))
self.speed = player_speed
# каждый спрайт должен хранить свойство rect - прямоугольник, в который он вписан
self.rect = self.image.get_rect()
self.rect.x = player_x
self.rect.y = player_y
# метод, отрисовывающий героя на окне
def reset(self):
window.blit(self.image, (self.rect.x, self.rect.y))
# класс главного игрока
class Player(GameSprite):
# метод для управления спрайтом стрелками клавиатуры
def update(self):
keys = key.get_pressed()
if keys[K_LEFT] and self.rect.x > 5:
self.rect.x -= self.speed
if keys[K_RIGHT] and self.rect.x < win_width - 80:
self.rect.x += self.speed
# класс спрайта-врага
class Enemy(GameSprite):
# движение врага
def update(self):
self.rect.y += self.speed
global lost
# исчезает, если дойдет до края экрана
if self.rect.y > win_height:
self.rect.x = randint(80, win_width - 80)
self.rect.y = 0
lost = lost + 1
# Создаем окошко
win_width = 700
win_height = 500
display.set_caption("Ping-pong")
window = display.set_mode((win_width, win_height))
finish = False
run = True
while run:
# событие нажатия на кнопку Закрыть
for e in event.get():
if e.type == QUIT:
run = False
# сама игра: действия спрайтов, проверка правил игры, перерисовка
if not finish:
# обновляем фон
window.fill(back)
display.update()
# цикл срабатывает каждую 0.02 секунды
time.delay(20)
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pynetlib/tests/test_route.py | migibert/pynet | 2 | 156117 | <gh_stars>1-10
from __future__ import absolute_import
import mock
import unittest
from . import read_file
from nose_parameterized import parameterized
from pynetlib.route import Route
from pynetlib.exceptions import ObjectNotFoundException, ObjectAlreadyExistsException
class TestRoute(unittest.TestCase):
def setUp(self):
self.ip_route_list_output = read_file('ip_route_list')
def test_init_route(self):
destination = 'destination'
device = 'eth0'
route = Route(destination, device)
self.assertIsNone(route.metric)
self.assertIsNone(route.source)
self.assertIsNone(route.gateway)
self.assertIsNone(route.namespace)
@parameterized.expand([
('1.2.1.2/30', None, None, None, None, None, False, False, False),
('1.2.3.4/30', None, None, None, None, None, False, True, True),
('default', 'wlo1', None, None, '600', '192.168.0.254', True, False, True),
('169.254.0.0/16', 'docker0', 'link', None, '1000', None, False, False, True),
('172.17.0.0/16', 'docker0', 'link', '172.17.0.1', None, None, False, False, True),
('192.168.0.0/24', 'wlo1', 'link', '192.168.0.11', '600', None, False, False, True)
])
@mock.patch('pynetlib.route.execute_command')
def test_route_discovery(self, destination, device, scope, source, metric, gateway, default, prohibit, reachable, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route(destination, device)
route.scope = scope
route.source = source
route.gateway = gateway
route.metric = metric
routes = Route.discover()
self.assertEqual(len(routes), 6)
found_route = routes[routes.index(route)]
self.assertTrue(self.deep_equality(route, found_route))
self.assertEqual(found_route.is_default(), default)
self.assertEqual(found_route.is_prohibited(), prohibit)
self.assertEqual(found_route.is_reachable(), reachable)
@mock.patch('pynetlib.route.execute_command')
def test_refresh_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('default', 'wlo1')
route.refresh()
execute_command.assert_called_once_with("ip route list", namespace=None)
self.assertEqual(route.metric, '600')
self.assertEqual(route.gateway, '192.168.0.254')
self.assertIsNone(route.source)
self.assertIsNone(route.scope)
self.assertIsNone(route.namespace)
@mock.patch('pynetlib.route.execute_command')
def test_refresh_non_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('destination', 'device')
with self.assertRaises(ObjectNotFoundException):
route.refresh()
execute_command.assert_called_once_with("ip route list", namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_contains_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('default', 'wlo1')
route.gateway = '192.168.0.254'
self.assertTrue(route.exists())
execute_command.assert_called_once_with('ip route list', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_add_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('default', 'wlo1')
route.gateway = '192.168.0.254'
with self.assertRaises(ObjectAlreadyExistsException):
route.create()
execute_command.assert_called_once_with('ip route list', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_add_non_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('1.2.3.4', 'wlo1')
route.gateway = '192.168.0.254'
route.create()
execute_command.assert_called_with('ip route add 1.2.3.4 dev wlo1 via 192.168.0.254', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_delete_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('default', 'wlo1')
route.gateway = '192.168.0.254'
route.delete()
execute_command.assert_called_with('ip route del default', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_delete_non_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('1.2.3.4', 'wlo1')
route.gateway = '192.168.0.254'
with self.assertRaises(ObjectNotFoundException):
route.delete()
execute_command.assert_called_with('ip route del 1.2.3.4', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_prohibit_non_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('10.10.10.10/24', 'wlo1')
route.prohibit()
execute_command.assert_called_with('ip route add prohibit 10.10.10.10/24', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_prohibit_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('1.2.3.4/30', None)
with self.assertRaises(ObjectAlreadyExistsException):
route.prohibit()
execute_command.assert_called_with('ip route del 1.2.3.4', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_unreachable_non_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('10.10.10.10/24', 'wlo1')
route.unreachable()
execute_command.assert_called_with('ip route add unreachable 10.10.10.10/24', namespace=None)
@mock.patch('pynetlib.route.execute_command')
def test_unreachable_existing_route(self, execute_command):
execute_command.return_value = self.ip_route_list_output
route = Route('1.2.3.4/30', None)
with self.assertRaises(ObjectAlreadyExistsException):
route.unreachable()
execute_command.assert_called_with('ip route del 1.2.3.4', namespace=None)
def deep_equality(self, expected, actual):
return expected.destination == actual.destination \
and expected.device == actual.device \
and expected.scope == actual.scope \
and expected.source == actual.source \
and expected.metric == actual.metric \
and expected.gateway == actual.gateway
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vega/search_space/networks/tensorflow/losses/__init__.py | Lzc06/vega | 12 | 176951 | <reponame>Lzc06/vega<gh_stars>10-100
from .cross_entropy_weight_decay import CrossEntropyWeightDecay
from .mix_auxiliary_loss import MixAuxiliaryLoss
| [
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aboutus/views.py | maxalmina/kudo | 0 | 78595 | <reponame>maxalmina/kudo<filename>aboutus/views.py
from django.shortcuts import render
# Create your views here.
def labView(request):
return render(request, 'aboutus/aboutus.html') | [
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test/wavelet_test.py | fulmen27/SpectroFit | 1 | 69075 | """import pywt
import numpy as np
import matplotlib.pyplot as plt
t = np.linspace(-1, 1, 200, endpoint=False)
sig = np.cos(2 * np.pi * 7 * t) + np.real(np.exp(-7*(t-0.4)**2)*np.exp(1j*2*np.pi*2*(t-0.4)))
plt.plot(t, sig)
plt.show()
widths = np.arange(1, 31)
cwtmatr, freqs = pywt.cwt(sig, widths, 'mexh')
print(cwtmatr)
print(freqs)
plt.imshow(cwtmatr, extent=[-1, 1, 1, 31], cmap='PRGn', aspect='auto',
vmax=abs(cwtmatr).max(), vmin=-abs(cwtmatr).max()) # doctest: +SKIP
plt.show() # doctest: +SKIP"""
import numpy as np
import matplotlib.pyplot as plt
import pywt
import pywt.data
t = [i for i in range(100)]
t = np.asarray(t)
sig = np.cos(2 * np.pi / 7 * t) + np.cos(2 * np.pi / 50 * t) - np.cos(2 * np.pi / 4 * t) + np.cos(2 * np.pi / 2 * t)
"""
ca, cd = pywt.dwt(sig, "bior3.5")
cd_0 = [0 for _ in range(len(cd))]
ca_0 = [0 for _ in range(len(ca))]
sig_ret = pywt.idwt(ca, cd_0, "bior3.5")
sig_ret2 = pywt.idwt(ca_0, cd, "bior3.5")"""
coeffs = pywt.wavedec(sig, "rbio6.8", level=3)
print(pywt.wavelist('rbio'))
print(len(coeffs))
coeffs[3] = np.asarray([0 for i in range(len(coeffs[3]))])
coeffs[2] = np.asarray([0 for i in range(len(coeffs[2]))])
coeffs[1] = np.asarray([0 for i in range(len(coeffs[1]))])
# coeffs[0] = np.asarray([0 for i in range(len(coeffs[0]))])
sig_ret = pywt.waverec(coeffs, "rbio6.8")
# plt.plot(t, sig)
plt.plot(t, sig_ret)
# plt.plot(t, np.cos(2 * np.pi / 7 * t))
plt.plot(t, np.cos(2 * np.pi / 50 * t))
# plt.plot(t, - np.cos(2 * np.pi / 4 * t))
# plt.plot(t, np.cos(2 * np.pi / 2 * t))
plt.show() | [
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templatebot/utils/logger.py | elfq/template-bot-v2 | 1 | 199653 | import asyncio
from aiohttp import ClientSession
from requests import post
from datetime import datetime
from termcolor import colored
from logging import debug, info, warn, error, critical
termc = {
"debug": "white",
"info": "green",
"warn": "yellow",
"error": "red",
"critical": "red",
}
class LogLevel:
DEBUG = 5
INFO = 4
WARNING = 3
ERROR = 2
CRITICAL = 1
class WebhookLogger:
def __init__(
self,
name: str,
url: str = None,
level: int = LogLevel.INFO,
loop=asyncio.get_event_loop(),
):
self.name = name
self.url = url
self.level = level
self.sess = ClientSession()
self.loop = loop
def create_content(self, logtype: str, content: str):
timestamp = str(datetime.now()).split(".")[0]
content = f"__**{logtype}**__ @ {timestamp}:\n{content}"
data = {
"username": self.name,
"avatar_url": "https://vcokltfre.github.io/static/img/service.png",
"content": content,
"allowed_mentions": {"users": False, "roles": False, "everyone": False},
}
return data
def send(self, logtype: str, content: str):
print(colored(f"[{logtype}] {content}", termc[logtype.lower()]))
if not self.url:
return
data = self.create_content(logtype, content)
post(self.url, json=data)
async def send_async(self, logtype: str, content: str):
print(colored(f"[{logtype}] {content}", termc[logtype.lower()]))
if not self.url:
return
data = self.create_content(logtype, content)
if self.sess.closed:
self.sess = ClientSession()
task = self.loop.create_task(self.sess.post(self.url, json=data))
task
## Synchronous methods
def debug_s(self, content):
self.send("debug", content)
def info_s(self, content):
self.send("info", content)
def warn_s(self, content):
self.send("warn", content)
def error_s(self, content):
self.send("error", content)
def critical_s(self, content):
self.send("critical", content)
## Asynchronous methods
async def debug(self, content):
await self.send_async("debug", content)
async def info(self, content):
await self.send_async("info", content)
async def warn(self, content):
await self.send_async("warn", content)
async def error(self, content):
await self.send_async("error", content)
async def critical(self, content):
await self.send_async("critical", content)
| [
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] |
demo/views/utils.py | SalvatoreTosti/pyramid-demo | 1 | 128624 | import json
def failure(message, status=400):
return {
'status' : status,
'message' : message,
'payload' : ''
}
def success(message='success.', payload='', status=200):
return {
'status' : status,
'message': message,
'payload' : payload
}
def validateJSON(request):
try:
request.json_body
except json.decoder.JSONDecodeError:
return failure('malformed JSON message.')
def _validateInteger(value, valueName):
try:
int(value)
except (ValueError, TypeError):
return failure('expected '+ valueName + ' to be an integer value.')
def validateIntegers(dictionary, values):
for arg in values:
errorMessage = _validateInteger(dictionary.get(arg), arg)
if errorMessage:
return errorMessage
def validatePositiveIntegers(dictionary, values):
for arg in values:
value = dictionary.get(arg)
integer = int(value)
if integer < 0:
return failure('expected '+ arg + ' to be a positive integer value.')
def _validateFloat(value, valueName):
try:
float(value)
except ValueError:
return failure('expected '+ valueName + ' to be a float value.')
def validateFloats(dictionary, values):
for arg in values:
errorMessage = _validateFloat(dictionary.get(arg), arg)
if errorMessage:
return errorMessage
def validatePositiveFloats(dictionary, values):
for arg in values:
value = dictionary.get(arg)
flt = float(value)
if flt < 0:
return failure('expected '+ arg + ' to be a positive float value.')
| [
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13,
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13,
268,
2
] |
src/main/python/taf/foundation/plugins/web/selenium/browser.py | WesleyPeng/uiXautomation | 6 | 1602828 | # Copyright (c) 2017-2018 {Flair Inc.} <NAME>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
from selenium import webdriver
from selenium.webdriver import Remote as RemoteWebDriver
from taf.foundation.api.ui.web import Browser as IBrowser
from taf.foundation.plugins.web.selenium.support.browserwaithandler import \
BrowserWaitHandler
class Browser(IBrowser):
def __init__(
self,
name='firefox',
identifier=None,
**kwargs
):
super(Browser, self).__init__(
name, identifier, **kwargs
)
@staticmethod
def launch(url='about:blank', **kwargs):
if not Browser.cache:
Browser(
kwargs.get('name'),
kwargs.get('identifier')
)
Browser.cache.current.get(url)
BrowserWaitHandler(
Browser.cache.current,
kwargs.get('timeout', 30.0)
).wait()
def activate(self):
super(Browser, self).activate()
self.cache.current.switch_to.window(
self.cache.current.current_window_handle
)
def maximize(self):
self.cache.current.maximize_window()
def sync(self, timeout=30):
BrowserWaitHandler(
self.cache.current,
timeout
).wait()
def get_screenshot_data(self):
if isinstance(self.cache.current, RemoteWebDriver):
return self.cache.current.get_screenshot_as_png()
else:
raise RuntimeError(
"Selenium Web Driver is required"
)
def _create_instance(
self, name, **kwargs
):
kwargs.setdefault('is_remote', False)
is_remote = str(
kwargs.pop('is_remote')
).lower() not in ('false', 'no')
if is_remote:
_instance = RemoteWebDriver(
command_executor=kwargs.get(
'command_executor',
'http://{host}:{port}/wd/hub'.format(
host=kwargs.get('host', 'localhost'),
port=kwargs.get('port', 4444)
)
),
desired_capabilities=kwargs.get(
'desired_capabilities',
{
'browserName': {
'firefox': 'firefox',
'ff': 'firefox',
'chrome': 'chrome',
'gc': 'chrome',
'googlechrome': 'chrome'
}.get(
name.lower(),
'firefox'
),
}
),
browser_profile=kwargs.get('browser_profile'),
proxy=kwargs.get('proxy'),
keep_alive=kwargs.get('keep_alive', False),
file_detector=kwargs.get('file_detector'),
options=kwargs.get('options')
)
else:
_browser_creation_strategies = {
'ff': self._make_firefox,
'firefox': self._make_firefox,
'googlechrome': self._make_chrome,
'chrome': self._make_chrome,
'gc': self._make_chrome,
}
_creator = _browser_creation_strategies.get(
name.lower()
)
if not callable(_creator):
raise ValueError('Unsupported browser type')
_instance = _creator(**kwargs)
# _instance.get('about:blank')
return _instance
def _make_firefox(self, **kwargs):
return webdriver.Firefox(**kwargs)
def _make_chrome(self, **kwargs):
_driver_dir = os.path.join(
os.path.dirname(__file__),
'support'
)
_default_driver_dir = os.path.join(
_driver_dir,
'chromedriver.exe'
)
if sys.platform.startswith('linux'):
_default_driver_dir = \
'/opt/google/chrome/chromedriver'
if os.path.exists(_default_driver_dir):
_driver_bin_file_path = _default_driver_dir
else:
_driver_bin_file_path = os.path.join(
_driver_dir, 'chromedriver'
)
os.environ['webdriver.chrome.driver'] = \
_driver_bin_file_path
return webdriver.Chrome(
_driver_bin_file_path,
**kwargs
)
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] |
local_branching_data_generation.py | deepmind/neural_lns | 2 | 81309 | # Copyright 2021 DeepMind Technologies Limited.
#
# 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.
# ============================================================================
"""Library with functions required to generate LNS imitation data for one MIP."""
import collections as py_collections
import os
import pickle
from typing import Any, Dict, Optional, Sequence, Text
from absl import logging
import ml_collections
import numpy as np
from neural_lns import data_utils
from neural_lns import local_branching_expert
from neural_lns import mip_utils
# LP feature extraction needs to fully process the root node, so allow enough
# time for that.
MIN_SOLVE_TIME = 1800
# SCIP solving parameters
SCIP_SOLVING_PARAMS = ml_collections.ConfigDict({
'seed': 42,
'time_limit_seconds': 1800,
'relative_gap': 0
})
def get_incumbent(
instance_name: Text,
dataset: Text,
solution_index: int) -> Optional[mip_utils.MPSolutionResponse]:
"""Tries to retrieve a solution for the MIP from corresponding pickle file."""
instance_path = os.path.join(dataset, instance_name)
solutions = pickle.load(open(instance_path, 'rb'))
if len(solutions) <= solution_index:
raise ValueError(
f'Fewer than {solution_index+1} solutions found for {instance_name}')
else:
solution = solutions[solution_index]
return solution
def get_flipped_vars(mip: mip_utils.MPModel,
incumbent: mip_utils.MPSolutionResponse,
improved: mip_utils.MPSolutionResponse,
var_names: np.ndarray) -> np.ndarray:
"""Returns an array indicating which binary variables were flipped."""
is_flipped = {}
# Note that non-binary variables are always assigned a 0.
for idx, variable in enumerate(mip.variable):
if (mip_utils.is_var_binary(variable) and round(
incumbent.variable_value[idx]) != round(improved.variable_value[idx])):
is_flipped[variable.name] = 1.0
else:
is_flipped[variable.name] = 0.0
# Make sure the array has the variables in the order in which they appear in
# the features.
is_flipped_reordered = np.zeros(len(var_names), dtype=np.bool)
for idx, var_name in enumerate(var_names):
if 'Constant' in var_name.decode():
is_flipped_reordered[idx] = 0.0
else:
is_flipped_reordered[idx] = is_flipped[var_name.decode()]
return is_flipped_reordered
def enhance_root_features(
root_features: Dict[str, Any],
incumbents: Sequence[Any],
lp_sol: Optional[Any] = None
) -> Dict[str, Any]:
"""Adds incumbent var values and integer mask to the feature array.
This accepts a list of up to NUM_PAST_INCUMBENTS past incumbents,
sorted from most recent to least. Each incumbent will introduce two columns
to the features: The first column represents the incumbent variable values,
and the second one is a all-ones column indicating that the incumbent is
present in the features.
A final column is added to the end that masks out continuous variables.
Args:
root_features: Root features without incumbent information.
incumbents: List of past incumbents, ordered by most recent first.
lp_sol: solution to the LP relaxation of the LNS MIP solved by the expert.
Returns:
Updated features dict.
"""
if len(incumbents) > data_utils.NUM_PAST_INCUMBENTS:
raise ValueError(
f'The number of past incumbents is not sufficient: {len(incumbents)}')
# Fill columns corresponding to incumbents
for idx, incumbent in enumerate(incumbents):
column = data_utils.NUM_ROOT_VARIABLE_FEATURES + 2 * idx
incumbent_values = np.array(
[incumbent[var_name.decode()]
for var_name in root_features['variable_names']],
dtype=root_features['variable_features'].dtype)
# Override features column corresponding to incumbent values.
root_features['variable_features'][:, column] = incumbent_values
# Override features column corresponding to incumbent presence indicator.
root_features['variable_features'][:, column + 1] = np.ones(
len(incumbent_values))
if lp_sol is not None:
lp_sol_values = np.array([
lp_sol[var_name.decode()]
for var_name in root_features['variable_names']
],
dtype=root_features['variable_features'].dtype)
lp_sol_column_index = data_utils.NUM_ROOT_VARIABLE_FEATURES + 2 * len(
incumbents)
root_features['variable_features'][:, lp_sol_column_index] = lp_sol_values
# The last column masks out the continuous variables.
integer_values_mask = np.ones(len(root_features['variable_names']),
dtype=root_features['variable_features'].dtype)
for idx, _ in enumerate(integer_values_mask):
if idx not in root_features['all_integer_variable_indices']:
integer_values_mask[idx] = 0.0
root_features['variable_features'][:, -1] = integer_values_mask
return root_features
def generate_data_for_instance(
instance_name: Text,
dataset: Text,
neighbourhood_size: int = 20,
percentage: bool = False,
sequence_length: int = 10,
add_incumbent_to_scip: bool = True,
solution_index: int = 0,
scip_params: ml_collections.ConfigDict = SCIP_SOLVING_PARAMS,
num_var_features: int = data_utils.NUM_VARIABLE_FEATURES) -> int:
"""Generates data from which we learn to imitate the expert.
This loads a MIP instance from a pickle file and generates the expert data.
Args:
instance_name: The name of the MIP instance.
dataset: Dataset name that the instance belongs to.
neighbourhood_size: Maximum Hamming dist to search.
percentage: Whether neighbourhood_size should be treated as a percentage
of total number of variables.
sequence_length: How many consecutive improvements to do.
add_incumbent_to_scip: Whether to feed SCIP the incumbent solution.
solution_index: Which of the solutions to use as the first incumbent.
scip_params: Dictionary of SCIP parameters to use.
num_var_features: Number of features, NUM_VARIABLE_FEATURES or
NUM_VARIABLE_FEATURES_LP.
Returns:
status: 1 if expert data generation was successful, 0 otherwise.
"""
mip = pickle.load(open(os.path.join(dataset, instance_name), 'rb'))
if percentage:
num_integer = 0
for var in mip.variable:
if var.is_integer:
num_integer += 1
neighbourhood_size = int(num_integer * neighbourhood_size / 100)
try:
incumbent = get_incumbent(instance_name, dataset, solution_index)
except ValueError:
logging.warning('No solution found for %s', instance_name)
return 0
root_features = data_utils.get_features(mip, scip_params)
if root_features is None or root_features['variable_features'] is None:
logging.warning('No root features found for %s', instance_name)
return 0
# Append dummy columns to the variable features, which is where we will put
# the past incumbent solutions and the mask for assigned values at each step.
num_extra_var_features = num_var_features - data_utils.NUM_ROOT_VARIABLE_FEATURES
dummy_columns = np.zeros((root_features['variable_features'].shape[0],
num_extra_var_features),
dtype=root_features['variable_features'].dtype)
if root_features is not None:
root_features['variable_features'] = np.concatenate(
[root_features['variable_features'], dummy_columns], axis=1)
assert root_features['variable_features'].shape[
1] == data_utils.NUM_VARIABLE_FEATURES
status = 1
past_incumbents = py_collections.deque([incumbent])
for step in range(sequence_length):
incumbent = past_incumbents[0]
improved_sol = local_branching_expert.improve_solution(
mip, incumbent, neighbourhood_size, scip_params,
add_incumbent_to_scip=add_incumbent_to_scip)
lp_sol = local_branching_expert.get_lns_lp_solution(
mip, incumbent, neighbourhood_size, scip_params)
if improved_sol is None:
# In case of solver failure, print a warning and break.
logging.warning('Solver failed for MIP %s at step %d ',
instance_name, step)
status = 0
break
# Add features corresponding to the incumbent solution and integer mask.
# NB This will overwrite the last column of the variable features.
features = enhance_root_features(root_features, past_incumbents, lp_sol)
# Figure out which variables were flipped between incumbent and improved.
features['best_solution_labels'] = get_flipped_vars(
mip, incumbent, improved_sol, features['variable_names'])
# Add new incumbent to incumbent list, and prune to size if necessary
past_incumbents.appendleft(improved_sol)
if len(past_incumbents) > data_utils.NUM_PAST_INCUMBENTS:
past_incumbents.pop()
return status
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yocto/poky/bitbake/lib/bb/ui/crumbs/hobcolor.py | jxtxinbing/ops-build | 16 | 23934 | <filename>yocto/poky/bitbake/lib/bb/ui/crumbs/hobcolor.py
#
# BitBake Graphical GTK User Interface
#
# Copyright (C) 2012 Intel Corporation
#
# Authored by <NAME> <<EMAIL>>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License version 2 as
# published by the Free Software Foundation.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License along
# with this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
class HobColors:
WHITE = "#ffffff"
PALE_GREEN = "#aaffaa"
ORANGE = "#eb8e68"
PALE_RED = "#ffaaaa"
GRAY = "#aaaaaa"
LIGHT_GRAY = "#dddddd"
SLIGHT_DARK = "#5f5f5f"
DARK = "#3c3b37"
BLACK = "#000000"
PALE_BLUE = "#53b8ff"
DEEP_RED = "#aa3e3e"
KHAKI = "#fff68f"
OK = WHITE
RUNNING = PALE_GREEN
WARNING = ORANGE
ERROR = PALE_RED
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] |
tests/system_tests/rest_api.py | Curtis241/taskmgr | 0 | 186759 | <gh_stars>0
import requests
class RequestBody:
def __init__(self, name: str, value1: str = None, value2: str = None):
self.__name = name
self.__value1 = value1
self.__value2 = value2
def __iter__(self):
yield "name", self.__name
if self.__value1 is not None:
yield "value1", self.__value1
if self.__value2 is not None:
yield "value2", self.__value2
class TaskModel:
def __init__(self, text: str, project: str, label: str, date_expression: str):
self.index = None
self.text = text
self.project = project
self.label = label
self.date_expression = date_expression
def __iter__(self):
if self.index is not None:
yield "index", self.index
yield "text", self.text
yield "project", self.project
yield "label", self.label
yield "date_expression", self.date_expression
class RestApi:
def __init__(self):
self.__basename = "http://localhost:8000/"
def __build_path(self, path: str) -> str:
return f"{self.__basename}{path}"
@staticmethod
def __parse_response(response: requests.Response):
response.raise_for_status()
if response.status_code in [200, 201]:
return response.json()
def get(self, path: str) -> dict:
with requests.Session() as session:
response = session.get(self.__build_path(path))
return self.__parse_response(response)
def post(self, path: str, data: dict):
with requests.Session() as session:
response = session.post(self.__build_path(path), json=data)
return self.__parse_response(response)
def put(self, path: str, data: dict = None):
with requests.Session() as session:
if data:
response = session.put(self.__build_path(path), json=data)
else:
response = session.put(self.__build_path(path))
return self.__parse_response(response)
def delete(self, path: str):
with requests.Session() as session:
response = session.delete(self.__build_path(path))
return self.__parse_response(response)
class Project(RestApi):
def __init__(self):
super().__init__()
def get_list(self) -> dict:
return self.put("unique/", dict(RequestBody("project")))
class Label(RestApi):
def __init__(self):
super().__init__()
def get_list(self) -> dict:
return self.put("unique/", dict(RequestBody("label")))
class Task(RestApi):
def __init__(self):
super().__init__()
def get_task(self, index: str) -> dict:
return self.get(f"tasks/task/{index}")
def delete_task(self, uuid: str) -> dict:
return self.delete(f"tasks/task/delete/{uuid}")
def undelete_task(self, uuid: str) -> dict:
return self.delete(f"tasks/task/undelete/{uuid}")
def complete_task(self, uuid: str) -> dict:
return self.put(f"tasks/task/complete/{uuid}")
def incomplete_task(self, uuid: str) -> dict:
return self.put(f"tasks/task/incomplete/{uuid}")
class Tasks(RestApi):
def __init__(self):
super().__init__()
self.__group_path = "group/"
self.__count_path = "count/"
self.__filter_path = "filter/"
def get_all(self) -> dict:
return self.get("tasks")
def add(self, text: str, project: str, label: str, date_expression: str) -> dict:
return self.post("tasks", dict(TaskModel(text, project, label, date_expression)))
def edit(self, index: str, text: str, project: str, label: str, date_expression: str) -> dict:
model = TaskModel(text, project, label, date_expression)
model.index = index
return self.put("tasks", dict(model))
def remove_all(self) -> dict:
return self.delete("tasks")
def reschedule(self):
self.put("reschedule/")
def group_by_label(self):
return self.put(self.__group_path, dict(RequestBody("label")))
def group_by_project(self):
return self.put(self.__group_path, dict(RequestBody("project")))
def group_by_due_date(self):
return self.put(self.__group_path, dict(RequestBody("due_date")))
def count_all(self) -> dict:
return self.get("count_all")
def count_by_due_date(self, due_date: str) -> dict:
return self.put(self.__count_path, dict(RequestBody("due_date", due_date)))
def count_by_project(self, project_name: str) -> dict:
return self.put(self.__count_path, dict(RequestBody("project", project_name)))
def count_by_due_date_range(self, min_date: str, max_date: str) -> dict:
request_body = dict(RequestBody("due_date_range", min_date, max_date))
return self.put(self.__count_path, request_body)
def filter_by_project(self, project_name: str) -> dict:
return self.put(self.__filter_path, dict(RequestBody("project", project_name)))
def filter_by_label(self, label: str) -> dict:
return self.put(self.__filter_path, dict(RequestBody("label", label)))
def filter_by_text(self, text: str) -> dict:
return self.put(self.__filter_path, dict(RequestBody("text", text)))
def filter_by_due_date(self, due_date: str) -> dict:
return self.put(self.__filter_path, dict(RequestBody("due_date", due_date)))
def filter_by_status(self, status: str) -> dict:
return self.put(self.__filter_path, dict(RequestBody("status", status)))
def filter_by_due_date_range(self, min_date: str, max_date: str) -> dict:
return self.put(self.__filter_path, dict(RequestBody("due_date_range", min_date, max_date)))
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sentence-reading/common_words.py | michalovsky/knowlegde-based-ai-mini-projects | 0 | 155764 | names = ["Serena",
"Andrew",
"Bobbie",
"Cason",
"David",
"Farzana",
"Frank",
"Hannah",
"Ida",
"Irene",
"Jim",
"Jose",
"Keith",
"Laura",
"Lucy",
"Meredith",
"Nick",
"Ada",
"Yeeling",
"Yan"]
pre_nouns = ["an", "a", "the", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "ten", "much",
"every", "any", "each", "some", "more"]
question_words = ["What", "Which", "Where", "Who", "When", "Why", "How", "At what time"]
adverbs = ["very", "just", "before", "too", "well", "also", "such", "near", "still", "never", "between", "far",
"together", "often", "always", "once", "enough", "soon", "early", "slow", "fine"]
adjectives = ["hot", "other", "long", "first", "new", "round", "good", "great", "low", "same", "right", "old", "small",
"large", "even", "big", "high", "light", "kind", "own", "last", "hard", "late", "real", "next", "white",
"second", "main", "plain", "usual", "young", "ready", "red", "direct", "black", "short", "numeral",
"complete", "whole", "best", "better", "fast", "simple", "cold", "certain", "dark", "correct", "able",
"done", "final", "green", "quick", "warm", "free", "strong", "special", "clear", "full", "blue", "deep",
"busy", "common", "gold", "possible", "dry", "cool"]
articles = ["the", "a", "an"]
conjunctions = ["and", "or", "but", "if", "then", "than", "though"]
nouns = ["that", "color", "this", "there", "word", "time", "way", "these", "thing", "day", "number", "water", "people",
"side", "now", "part", "place", "man", "year", "name", "form", "line", "boy", "sentence", "end", "home",
"hand", "port", "land", "here", "men", "house", "picture", "animal", "point", "mother", "world", "self",
"earth", "father", "head", "page", "country", "school", "food", "sun", "eye", "door", "city", "tree", "cross",
"story", "sea", "left", "night", "life", "children", "example", "ease", "paper", "music", "book", "letter",
"mile", "river", "car", "feet", "group", "rain", "room", "friend", "idea", "fish", "mountain", "north", "base",
"horse", "face", "wood", "girl", "list", "bird", "body", "dog", "family", "song", "state", "product", "class",
"wind", "question", "ship", "area", "rock", "order", "fire", "south", "problem", "piece", "farm", "top",
"king", "size", "hour", "true", "step", "west", "ground", "table", "morning", "vowel", "war", "pattern",
"center", "love", "person", "money", "road", "map", "science", "notice", "voice", "power", "town", "unit",
"machine", "note", "plan", "figure", "star", "box", "noun", "field", "pound", "beauty", "front", "week",
"minute", "mind", "tail", "fact", "street", "inch", "nothing", "course", "wheel", "force", "object", "surface",
"moon", "island", "foot", "test", "boat", "plane", "age", "game", "shape", "heat", "snow", "bed", "east",
"weight", "language"]
numerals = ["one", "two", "three", "four", "hundred", "five", "six", "ten", "thousand"]
other = ["will", "dont", "while", "sure", "ever", "oh", "ago", "yes", "perhaps"]
possesive_pronouns = ["his", "your", "their", "her", "my", "our"]
prepositions = ["of", "to", "in", "for", "on", "with", "as", "at", "from", "by", "out", "up", "about", "so", "over",
"down", "after", "back", "under", "through", "off", "again", "since", "until", "above", "during",
"toward", "against", "behind", "yet", "among"]
pronouns = ["it", "you", "he", "I", "they", "we", "she", "them", "him", "me", "us", "those"]
quantities = ["some", "all", "each", "many", "more", "no", "most", "any", "little", "only", "every", "much", "few",
"both", "half", "less", "several", "lot"]
verbs = ["is", "was", "are", "be", "have", "had", "can", "were", "use", "said", "do", "would", "write", "like", "make",
"see", "has", "look", "could", "go", "come", "did", "sound", "know", "call", "may", "been", "find", "work",
"take", "get", "made", "live", "came", "show", "give", "think", "say", "help", "turn", "cause", "mean",
"differ", "move", "does", "tell", "set", "want", "air", "play", "put", "read", "spell", "add", "must",
"follow", "act", "ask", "change", "went", "need", "try", "build", "stand", "should", "found", "answer", "grow",
"study", "learn", "plant", "cover", "thought", "let", "keep", "start", "might", "saw", "draw", "run", "press",
"close", "stop", "open", "seem", "begin", "got", "walk", "mark", "care", "carry", "took", "eat", "began",
"hear", "cut", "watch", "feel", "talk", "pose", "leave", "measure", "happen", "told", "knew", "pass", "heard",
"am", "remember", "hold", "interest", "reach", "sing", "listen", "travel", "lay", "serve", "appear", "rule",
"govern", "pull", "fall", "fly", "lead", "cry", "wait", "rest", "drive", "stood", "contain", "teach", "gave",
"develop", "sleep", "produce", "stay", "decide", "record", "wonder", "laugh", "ran", "check", "miss",
"brought", "bring", "sit", "fill"]
versions_of_to_be = ["am", "is", "are", "was", "were"] | [
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] |
infinite_scroll_pagination/serializers.py | nitely/django-infinite-scroll-pagination | 89 | 175351 | <gh_stars>10-100
#-*- coding: utf-8 -*-
import re
import time
from datetime import datetime
from django.core.paginator import InvalidPage
from django.utils import timezone
from django.conf import settings
__all__ = [
'page_key',
'to_page_key',
'InvalidPage']
PAGE_RE = re.compile(r'^(?P<value>[0-9]+\.[0-9]{6})-(?P<pk>[0-9]+)$')
def _make_aware_maybe(dt):
if not getattr(settings, 'USE_TZ', False):
return dt
if timezone.is_aware(dt):
return dt.astimezone(timezone.utc)
return timezone.make_aware(dt, timezone=timezone.utc)
def _fromtimestamp(ts):
if not getattr(settings, 'USE_TZ', False):
return datetime.fromtimestamp(ts)
return datetime.utcfromtimestamp(ts)
# py2 only
def _timestamp(dt):
if timezone.is_naive(dt):
return time.mktime((
dt.year, dt.month, dt.day,
dt.hour, dt.minute, dt.second,
-1, -1, -1)) + dt.microsecond / 1e6
return (dt - datetime(1970, 1, 1, tzinfo=timezone.utc)).total_seconds()
def page_key(raw_page):
"""
Parse a raw page value of ``timestamp-pk`` format.
Return a tuple of (timestamp, pk)
:raises: ``InvalidPage``
"""
if not raw_page:
return None, None
m = re.match(PAGE_RE, raw_page)
if m is None:
raise InvalidPage('Bad key format')
try:
timestamp = _fromtimestamp(float(m.group('value')))
except (OverflowError, ValueError):
raise InvalidPage('Key out of range')
return _make_aware_maybe(timestamp), m.group('pk')
def to_page_key(value=None, pk=None):
"""Serialize a value and pk to `timestamp-pk`` format"""
if value is None:
return ''
if isinstance(value, (tuple, list)):
(value,) = value
value = _make_aware_maybe(value)
try:
timestamp = value.timestamp()
except AttributeError:
timestamp = _timestamp(value)
return '{:.6f}-{}'.format(timestamp, pk)
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sellalert.py | sjmiller609/cvs_scraper | 0 | 21960 | import requests
import json
from pprint import pprint
import re
import time
import sys
#getdata = requests.get(geturl)
#pprint (vars(getdata))
from bs4 import BeautifulSoup
from geopy.geocoders import Nominatim
if len(sys.argv) != 4:
print(sys.argv[0]+" <item> <location> <num items>")
exit()
#get list of product IDs
item = sys.argv[1].replace(" ","+")
print("searching for items with: "+item)
geturl = "http://www.cvs.com/search/N-0?searchTerm="+item+"&navNum="+sys.argv[3]
print("search url: "+geturl)
#This step is important.Converting QString to Ascii for lxml to process
#archive_links = html.fromstring(str(result.toAscii()))
#print archive_links
response = requests.get(geturl)
print(str(response))
page = str(BeautifulSoup(response.content,"html.parser"))
print(page)
exit()
def getURL(page):
start_link = page.find("href")
if start_link == -1:
return None, 0
start_quote = page.find('"', start_link)
end_quote = page.find('"', start_quote + 1)
url = page[start_quote + 1: end_quote]
return url, end_quote
def getUrls(urls,page):
url, n = getURL(page)
if url:
urls.append(url)
getUrls(urls,page[n:])
urls = []
getUrls(urls,page)
for url in urls:
print(url)
itemlist = []
skuidlist = []
for i in range(0,len(urls)):
m = re.search('/shop/.*/.*/.*/(.*)-skuid-(\d{6})',urls[i])
if m and m.group(2) not in skuidlist:
itemlist.append(m.group(1))
skuidlist.append(m.group(2))
print("items found:")
for item in itemlist:
print("\t"+item)
#TODO: now the page loads these in js, so we need to interpret js
exit()
geolocator = Nominatim()
location = geolocator.geocode(sys.argv[2])
print((location.latitude,location.longitude))
posturl = "http://www.cvs.com/rest/bean/cvs/catalog/CvsBohServiceHandler/storeInventoryValues"
dicts = []
print('loading initial inventory...')
for i in range(0,len(skuidlist)):
time.sleep(2)
productId = skuidlist[i]
postdata = {'productId': productId, 'productSPUlnd': 'true','favstore':'NULL','geolatitude':str(location.latitude),'geolongitude':str(location.longitude)}
inv = requests.post(posturl,data=postdata)
dict = {}
jsons = inv.json()['atgResponse']
for j in range(0,len(jsons)):
temp = jsons[j]
if(temp['Qty'] == ''):
temp['Qty'] = '0'
dict[temp['storeAddress']] = temp['Qty']
dicts.append(dict)
print(str(100*i/len(skuidlist))+"%")
while True:
for j in range(0,len(skuidlist)):
#delay between requests
print('3 seconds...')
time.sleep(3)
productId = skuidlist[j]
postdata = {'productId': productId, 'productSPUlnd': 'true','favstore':'NULL','geolatitude':str(location.latitude),'geolongitude':str(location.longitude)}
inv = requests.post(posturl,data=postdata)
jsons = inv.json()['atgResponse']
for i in range(0,len(jsons)):
temp = jsons[i]
if(temp['Qty'] == ''):
temp['Qty'] = '0'
if(dicts[j][temp['storeAddress']] != temp['Qty']):
print("was: "+dicts[j][temp['storeAddress']]+" now: "+temp['Qty'])
sold = int(dicts[j][temp['storeAddress']]) - int(temp['Qty'])
print(temp['storeAddress']+" sold "+str(sold) + " of item " +itemlist[j])
dicts[j][temp['storeAddress']] = temp['Qty']
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29962,
353,
5694,
1839,
29984,
1017,
2033,
13,
2
] |
Python/shortest-way-to-form-string.py | sm2774us/leetcode_interview_prep_2021 | 0 | 166110 | <filename>Python/shortest-way-to-form-string.py
# Time: O(m + n), m is the length of source
# , n is the length of target
# Space: O(m)
# greedy solution
class Solution(object):
def shortestWay(self, source, target):
"""
:type source: str
:type target: str
:rtype: int
"""
lookup = [[None for _ in range(26)] for _ in range(len(source)+1)]
find_char_next_pos = [None]*26
for i in reversed(range(len(source))):
find_char_next_pos[ord(source[i])-ord('a')] = i+1
lookup[i] = list(find_char_next_pos)
result, start = 1, 0
for c in target:
start = lookup[start][ord(c)-ord('a')]
if start != None:
continue
result += 1
start = lookup[0][ord(c)-ord('a')]
if start == None:
return -1
return result
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] |
amocrm_asterisk_ng/crm/amocrm/kernel/calls/call_records/file_converters/core/__init__.py | iqtek/amocrn_asterisk_ng | 0 | 5702 | from .IFileConverter import IFileConverter
| [
1,
515,
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18545,
1053,
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13,
2
] |
necromancer/cli/shell_command.py | SeedyROM/necromancer | 0 | 174527 | '''
Usage: necro shell|s USER_COMMAND
Options
USER_COMMAND a command in the .necro.toml
'''
from docopt import docopt
if __name__ == '__main__':
print(docopt(__doc__))
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implementation/h2o-fakegame/h2o-py/h2o/model/multinomial.py | kordikp/AutoMLprediction | 1 | 87156 | <reponame>kordikp/AutoMLprediction
from builtins import zip
from ..frame import H2OFrame
from ..h2o import H2OConnection
from .model_base import ModelBase
class H2OMultinomialModel(ModelBase):
def _make_model(self):
return H2OMultinomialModel()
def confusion_matrix(self, data):
"""
Returns a confusion matrix based of H2O's default prediction threshold for a dataset
"""
if not isinstance(data, H2OFrame): raise ValueError("data argument must be of type H2OFrame, but got {0}"
.format(type(data)))
j = H2OConnection.post_json("Predictions/models/" + self._id + "/frames/" + data.frame_id)
return j["model_metrics"][0]["cm"]["table"]
def hit_ratio_table(self, train=False, valid=False, xval=False):
"""
Retrieve the Hit Ratios
If all are False (default), then return the training metric value.
If more than one options is set to True, then return a dictionary of metrics where the keys are "train", "valid",
and "xval"
:param train: If train is True, then return the R^2 value for the training data.
:param valid: If valid is True, then return the R^2 value for the validation data.
:param xval: If xval is True, then return the R^2 value for the cross validation data.
:return: The R^2 for this regression model.
"""
tm = ModelBase._get_metrics(self, train, valid, xval)
m = {}
for k,v in zip(list(tm.keys()),list(tm.values())): m[k] = None if v is None else v.hit_ratio_table()
return list(m.values())[0] if len(m) == 1 else m
def mean_per_class_error(self, train=False, valid=False, xval=False):
"""
Retrieve the mean per class error across all classes
If all are False (default), then return the training metric value.
If more than one options is set to True, then return a dictionary of metrics where the keys are "train", "valid",
and "xval"
Parameters
----------
train : bool, optional
If True, return the mean_per_class_error value for the training data.
valid : bool, optional
If True, return the mean_per_class_error value for the validation data.
xval : bool, optional
If True, return the mean_per_class_error value for each of the cross-validated splits.
Returns
-------
The mean_per_class_error values for the specified key(s).
"""
tm = ModelBase._get_metrics(self, train, valid, xval)
m = {}
for k,v in zip(list(tm.keys()),list(tm.values())): m[k] = None if v is None else v.mean_per_class_error()
return list(m.values())[0] if len(m) == 1 else m
def plot(self, timestep="AUTO", metric="AUTO", **kwargs):
"""
Plots training set (and validation set if available) scoring history for an H2OMultinomialModel. The timestep and metric
arguments are restricted to what is available in its scoring history.
:param timestep: A unit of measurement for the x-axis.
:param metric: A unit of measurement for the y-axis.
:return: A scoring history plot.
"""
if self._model_json["algo"] in ("deeplearning", "drf", "gbm"):
if metric == "AUTO": metric = "classification_error"
elif metric not in ("logloss","classification_error","MSE"):
raise ValueError("metric for H2OMultinomialModel must be one of: AUTO, logloss, classification_error, MSE")
self._plot(timestep=timestep, metric=metric, **kwargs)
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12020,
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703,
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363,
379,
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310,
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29922,
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3579,
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13,
2
] |
investing_algorithm_framework/views/utils.py | coding-kitties/investing-algorithm-framework | 9 | 156680 | from flask import jsonify
def normalize_query_param(value):
"""
Given a non-flattened query parameter value,
and if the value is a list only containing 1 item,
then the value is flattened.
:param value: a value from a query parameter
:return: a normalized query parameter value
"""
if len(value) == 1 and value[0].lower() in ["true", "false"]:
if value[0].lower() == "true":
return True
return False
return value if len(value) > 1 else value[0]
def normalize_query(params):
"""
Converts query parameters from only containing one value for each parameter,
to include parameters with multiple values as lists.
:param params: a flask query parameters data_provider structure
:return: a dict of normalized query parameters
"""
params_non_flat = params.to_dict(flat=False)
return {k: normalize_query_param(v) for k, v in params_non_flat.items()}
def create_paginated_response(query_set, serializer):
"""
Creates a paginated response from a query set. The given query set
is paginated the function.
:param query_set: a lazy query
:param serializer: an instance of an marshmallow schema
:return: a json of paginated query
"""
paginated_query_set = query_set.paginate()
return jsonify(
{
'total': paginated_query_set.total,
'page': paginated_query_set.page,
'per_page': paginated_query_set.per_page,
'items': serializer.dump(paginated_query_set.items, many=True)
}
)
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] |
publications/ECSO2017/poissonvspsra.py | clancia/air-traffic-data-driven-modelling | 0 | 61746 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set(context='talk')
palette = sns.color_palette()
beta = 1
landa = 1./beta
reps = 25
pois = np.random.exponential(beta, reps)
pois = pois.cumsum()
psra = np.arange(reps)*beta + np.random.exponential(beta, reps) - landa
psra.sort()
f, ax = plt.subplots(1, 2, sharex=True, figsize=(24, 10))
yy = np.arange(reps) + 1
for x, y in zip(pois, yy):
ax[0].plot([x, x], [0, y], c=palette[0], ls='--', lw=2)
ax[0].step(pois, yy, lw=5)
ax[0].scatter(pois, np.zeros(reps))
ax[0].set_title(r'Poisson arrivals, $\lambda$ = {:.1f}'.format(landa))
ax[0].set_xlabel('time')
ax[0].set_ylabel('count')
for x, y in zip(psra, yy):
ax[1].plot([x, x], [0, y], c=palette[0], ls='--', lw=2)
ax[1].step(psra, yy, lw=5)
ax[1].scatter(psra, np.zeros(reps))
title = r'Pre-scheduled random arrivals, $\sigma$ = {:.1f}'.format(landa)
ax[1].set_title(title)
ax[1].set_xlabel('time')
plt.savefig('pois_psra.png')
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] |
python/my_custard.py | ensan-hcl/CustardKit | 1 | 73049 | <filename>python/my_custard.py
from source.custard import *
custard = Custard(
identifier="my_custard",
language=Language.ja_JP,
input_style=InputStyle.direct,
metadata=Metadata(
custard_version="1.0",
display_name="私のカスタード",
),
interface=Interface(
key_style=KeyStyle.tenkey_style,
key_layout=GridFitLayout(row_count=2, column_count=2),
keys=[
KeyData(
specifier=GridFitSpecifier(x=0, y=0),
key=SystemKey(SystemKeyType.change_keyboard)
),
KeyData(
specifier=GridFitSpecifier(x=0, y=1),
key=CustomKey(
design=KeyDesign(
label=TextLabel(text="あ"),
color=KeyColor.normal
),
press_actions=[],
longpress_actions=LongpressAction(
start=[
DeleteAction(1),
]
),
variations=[
FlickVariationData(
direction=FlickDirection.left,
key=Variation(
design=VariationDesign(
label=TextLabel(text="い"),
),
press_actions=[
InputAction("い")
],
longpress_actions=LongpressAction()
)
)
]
)
),
KeyData(
specifier=GridFitSpecifier(x=1, y=0),
key=CustomKey(
design=KeyDesign(
label=TextLabel(text="あ"),
color=KeyColor.normal
),
press_actions=[],
longpress_actions=LongpressAction(
start=[
DeleteAction(1),
]
),
variations=[
FlickVariationData(
direction=FlickDirection.left,
key=Variation(
design=VariationDesign(
label=TextLabel(text="い"),
),
press_actions=[
InputAction("い")
],
)
)
]
)
),
KeyData(
specifier=GridFitSpecifier(x=1, y=1),
key=CustomKey(
design=KeyDesign(
label=TextLabel(text="あ"),
color=KeyColor.normal
),
press_actions=[],
longpress_actions=LongpressAction(
start=[
DeleteAction(1),
]
),
variations=[
FlickVariationData(
direction=FlickDirection.left,
key=Variation(
design=VariationDesign(
label=TextLabel(text="い"),
),
press_actions=[
InputAction("い")
],
)
)
]
)
),
]
)
)
custard.write(name="my_custard")
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PythonExercicios/ex062.py | VitorFRodrigues/Python-curso | 0 | 174163 | print('{:=^40}'.format(' Progressão Aritmética '))
primeiro = int(input('Digite o primeiro valor da PA: '))
razao = int(input('Digite a razão da PA: '))
print('Os 10 primeiros termos da progressão serão: ', end=' ')
cont = 0
termos = 10
while cont != termos:
proximo = primeiro+razao*cont
print(proximo, end=' -> ')
cont += 1
if cont == termos:
print('')
aux = int(input('Você quer que mostre mais termos? Digite 0 se não quiser: '))
termos += aux
print('ACABOU! A progressão foi finalizada com {} termos exibidos.'.format(termos))
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] |
xsearch/__init__.py | e2dubba/py-xsearch | 0 | 1607201 | <gh_stars>0
from .xsearch import *
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] |
tests/test_FileReader.py | llj0824/nycMap | 0 | 137565 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pytest
from nycmap.util import FileReader
TEST_CSV_FILE = 'data/rollingsales_queensSample.csv'
TEST_COLUMN = "NEIGHBORHOOD"
def testParseExcelFile_correctSize():
df = FileReader.parseCsvFile(TEST_CSV_FILE)
assert df[TEST_COLUMN].size == 60
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tests/base/test_endpoints_authentication.py | rapydo/http-api | 8 | 18494 | from restapi.connectors import Connector
from restapi.env import Env
from restapi.services.authentication import BaseAuthentication, Role
from restapi.tests import API_URI, BaseTests, FlaskClient
from restapi.utilities.logs import log
class TestApp(BaseTests):
def test_no_auth(self, client: FlaskClient) -> None:
r = client.get(f"{API_URI}/tests/noauth")
assert r.status_code == 200
assert self.get_content(r) == "OK"
if Env.get_bool("AUTH_ENABLE"):
headers, _ = self.do_login(client, None, None)
# Tokens are ignored
r = client.get(f"{API_URI}/tests/noauth", headers=headers)
assert r.status_code == 200
assert self.get_content(r) == "OK"
# Tokens are ignored even if invalid
r = client.get(
f"{API_URI}/tests/noauth", headers={"Authorization": "Bearer invalid"}
)
assert r.status_code == 200
assert self.get_content(r) == "OK"
def test_auth(self, client: FlaskClient) -> None:
if not Env.get_bool("AUTH_ENABLE"):
log.warning("Skipping authentication tests")
return
r = client.get(f"{API_URI}/tests/authentication")
assert r.status_code == 401
r = client.get(
f"{API_URI}/tests/authentication",
headers={"Authorization": "Bearer invalid"},
)
assert r.status_code == 401
headers, token = self.do_login(client, None, None)
r = client.get(f"{API_URI}/tests/authentication", headers=headers)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
if not Env.get_bool("ALLOW_ACCESS_TOKEN_PARAMETER"):
# access token parameter is not allowed by default
r = client.get(
f"{API_URI}/tests/authentication", query_string={"access_token": token}
)
assert r.status_code == 401
def test_optional_auth(self, client: FlaskClient) -> None:
if not Env.get_bool("AUTH_ENABLE"):
log.warning("Skipping authentication tests")
return
# Optional authentication can accept missing tokens
r = client.get(f"{API_URI}/tests/optionalauthentication")
assert r.status_code == 204
headers, token = self.do_login(client, None, None)
# Or valid tokens
r = client.get(f"{API_URI}/tests/optionalauthentication", headers=headers)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
# But not invalid tokens, i.e. if presented the tokens is always validated
r = client.get(
f"{API_URI}/tests/authentication",
headers={"Authorization": "Bearer invalid"},
)
assert r.status_code == 401
if not Env.get_bool("ALLOW_ACCESS_TOKEN_PARAMETER"):
# access token parameter is not allowed by default
r = client.get(
f"{API_URI}/tests/optionalauthentication",
query_string={"access_token": token},
)
# query token is ignored but the endpoint accepts missing tokens
assert r.status_code == 204
r = client.get(
f"{API_URI}/tests/optionalauthentication",
query_string={"access_token": "invalid"},
)
# invalid tokens should be rejected, but query token is ignored
assert r.status_code == 204
def test_access_token_parameter(self, client: FlaskClient) -> None:
if not Env.get_bool("AUTH_ENABLE"):
log.warning("Skipping authentication tests")
return
r = client.get(f"{API_URI}/tests/queryauthentication")
assert r.status_code == 401
r = client.get(
f"{API_URI}/tests/queryauthentication",
headers={"Authorization": "Bearer invalid"},
)
assert r.status_code == 401
headers, token = self.do_login(client, None, None)
r = client.get(f"{API_URI}/tests/queryauthentication", headers=headers)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
r = client.get(
f"{API_URI}/tests/queryauthentication", query_string={"access_token": token}
)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
r = client.get(
f"{API_URI}/tests/queryauthentication",
query_string={"access_token": "invalid"},
)
assert r.status_code == 401
def test_optional_access_token_parameter(self, client: FlaskClient) -> None:
if not Env.get_bool("AUTH_ENABLE"):
log.warning("Skipping authentication tests")
return
# Optional authentication can accept missing tokens
r = client.get(f"{API_URI}/tests/optionalqueryauthentication")
assert r.status_code == 204
headers, token = self.do_login(client, None, None)
# Or valid tokens
r = client.get(f"{API_URI}/tests/optionalqueryauthentication", headers=headers)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
# But not invalid tokens, i.e. if presented the tokens is always validated
r = client.get(
f"{API_URI}/tests/optionalqueryauthentication",
headers={"Authorization": "Bearer invalid"},
)
assert r.status_code == 401
r = client.get(
f"{API_URI}/tests/optionalqueryauthentication",
query_string={"access_token": token},
)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
r = client.get(
f"{API_URI}/tests/optionalqueryauthentication",
query_string={"access_token": "invalid"},
)
# invalid tokens should be rejected, but query token is ignored
assert r.status_code == 401
def test_authentication_with_multiple_roles(self, client: FlaskClient) -> None:
if not Env.get_bool("AUTH_ENABLE"):
log.warning("Skipping authentication tests")
return
r = client.get(f"{API_URI}/tests/manyrolesauthentication")
assert r.status_code == 401
r = client.get(f"{API_URI}/tests/unknownroleauthentication")
assert r.status_code == 401
admin_headers, _ = self.do_login(client, None, None)
r = client.get(
f"{API_URI}/tests/manyrolesauthentication", headers=admin_headers
)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == BaseAuthentication.default_user
r = client.get(
f"{API_URI}/tests/unknownroleauthentication", headers=admin_headers
)
assert r.status_code == 401
if Env.get_bool("MAIN_LOGIN_ENABLE"):
uuid, data = self.create_user(client, roles=[Role.USER])
user_header, _ = self.do_login(
client, data.get("email"), data.get("password")
)
r = client.get(
f"{API_URI}/tests/manyrolesauthentication", headers=user_header
)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == data.get("email")
r = client.get(
f"{API_URI}/tests/unknownroleauthentication", headers=user_header
)
assert r.status_code == 401
self.delete_user(client, uuid)
def test_authentication_with_auth_callback(self, client: FlaskClient) -> None:
if not Env.get_bool("AUTH_ENABLE"):
log.warning("Skipping authentication tests")
return
auth = Connector.get_authentication_instance()
user = auth.get_user(username=BaseAuthentication.default_user)
assert user is not None
VALID = f"/tests/preloadcallback/{user.uuid}"
INVALID = "/tests/preloadcallback/12345678-90ab-cdef-1234-567890abcdef"
admin_headers, _ = self.do_login(client, None, None)
# Verify both endpoint ...
r = client.get(
f"{API_URI}{VALID}", query_string={"test": True}, headers=admin_headers
)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, dict)
assert len(content) == 1
assert "email" in content
assert content["email"] == user.email
r = client.get(
f"{API_URI}{INVALID}", query_string={"test": True}, headers=admin_headers
)
assert r.status_code == 401
# and get_schema!
r = client.get(
f"{API_URI}{VALID}",
query_string={"get_schema": True},
headers=admin_headers,
)
assert r.status_code == 200
content = self.get_content(r)
assert isinstance(content, list)
assert len(content) == 1
assert content[0]["key"] == "test"
assert content[0]["type"] == "boolean"
r = client.get(
f"{API_URI}{INVALID}",
query_string={"get_schema": True},
headers=admin_headers,
)
assert r.status_code == 401
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] |
tests/checks/integration/test_os_updates.py | borgified/datadog-checks | 100 | 189133 | <reponame>borgified/datadog-checks
# 3p
import mock
# project
from checks import AgentCheck
from tests.checks.common import AgentCheckTest, load_check
class TestFileUnit(AgentCheckTest):
CHECK_NAME = 'os_updates'
def __init__(self, *args, **kwargs):
AgentCheckTest.__init__(self, *args, **kwargs)
self.config = {
"init_config": {},
"instances": [{}]
}
@mock.patch('os_updates.UpdatesCheck.get_subprocess_output', return_value='2;1')
def test_basic_check(self, *args):
self.run_check(self.config)
self.assertMetric('updates.available', value=2)
self.assertMetric('updates.security', value=1)
@mock.patch('os_updates.UpdatesCheck.get_subprocess_output', return_value=None)
def test_no_error_if_no_binary(self, *args):
self.run_check(self.config)
# Shouldn't have any metrics if we can't fetch anything
self.assertMetric('updates.available', count=0)
self.assertMetric('updates.security', count=0)
@mock.patch('os_updates.UpdatesCheck.get_subprocess_output', return_value='not-splittable')
def test_no_error_if_bad_format(self, *args):
self.run_check(self.config)
self.assertMetric('updates.available', count=0)
self.assertMetric('updates.security', count=0)
@mock.patch('os_updates.UpdatesCheck.get_subprocess_output', return_value='a;b')
def test_no_error_if_not_numeric(self, *args):
self.run_check(self.config)
self.assertMetric('updates.available', count=0)
self.assertMetric('updates.security', count=0)
@mock.patch('utils.platform.Platform.is_linux', return_value=False)
def test_only_on_linux(self, *args):
self.run_check(self.config)
# Shouldn't have any metrics on non-Linux platforms
self.assertMetric('updates.available', count=0)
self.assertMetric('updates.security', count=0)
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deps/lib/python3.5/site-packages/openzwave/group.py | jfarmer08/hassio | 0 | 42348 | # -*- coding: utf-8 -*-
"""
.. module:: openzwave.group
This file is part of **python-openzwave** project https://github.com/OpenZWave/python-openzwave.
:platform: Unix, Windows, MacOS X
:sinopsis: openzwave API
.. moduleauthor: bibi21000 aka <NAME> <<EMAIL>>
License : GPL(v3)
**python-openzwave** is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
**python-openzwave** is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with python-openzwave. If not, see http://www.gnu.org/licenses.
"""
from openzwave.object import ZWaveObject
# Set default logging handler to avoid "No handler found" warnings.
import logging
try: # Python 2.7+
from logging import NullHandler
except ImportError:
class NullHandler(logging.Handler):
"""NullHandler logger for python 2.6"""
def emit(self, record):
pass
logger = logging.getLogger('openzwave')
logger.addHandler(NullHandler())
class ZWaveGroup(ZWaveObject):
"""
The driver object.
Hold options of the manager
Also used to retrieve information about the library, ...
"""
def __init__(self, group_index, network=None, node_id=None):
"""
Initialize driver object
:param group_index: index of the group
:type group_index: int
:param network: The network object to access the manager
:type network: ZWaveNetwork
:param node_id: ID of node
:type node_id: int
"""
ZWaveObject.__init__(self, group_index, network)
self._node_id = node_id
self._index = group_index
def __str__(self):
"""
The string representation of the group.
:rtype: str
"""
return 'index: [%s] label: [%s]' % (self.index, self.label)
@property
def index(self):
"""
The index of the group.
:rtype: int
"""
return self._index
@property
def label(self):
"""
The label of the group.
:rtype: int
"""
return self._network.manager.getGroupLabel(self.home_id, self._node_id, self.index)
@property
def max_associations(self):
"""
The number of associations.
:rtype: int
"""
return self._network.manager.getMaxAssociations(self.home_id, self._node_id, self.index)
@property
def associations(self):
"""
The members of associations.
:rtype: set()
"""
return self._network.manager.getAssociations(self.home_id, self._node_id, self.index)
@property
def associations_instances(self):
"""
The members of associations with theirs instances.
Nodes that does not support multi-instances have an instanceid equal to 0.
:rtype: set() of tuples (nodeid,instanceid)
"""
return self._network.manager.getAssociationsInstances(self.home_id, self._node_id, self.index)
def add_association(self, target_node_id, instance=0x00):
"""
Adds a node to an association group.
Due to the possibility of a device being asleep, the command is assumed to
complete with success, and the association data held in this class is updated directly. This
will be reverted by a future Association message from the device if the Z-Wave
message actually failed to get through. Notification callbacks will be sent in
both cases.
:param target_node_id: Identifier for the node that will be added to the association group.
:type target_node_id: int
:param instance: The instance that will be added to the association group.
:type instance: int
"""
self._network.manager.addAssociation(self.home_id, self._node_id, self.index, target_node_id, instance)
def remove_association(self, target_node_id, instance=0x00):
"""
Removes a node from an association group.
Due to the possibility of a device being asleep, the command is assumed to
succeed, and the association data held in this class is updated directly. This
will be reverted by a future Association message from the device if the Z-Wave
message actually failed to get through. Notification callbacks will be sent
in both cases.
:param target_node_id: Identifier for the node that will be removed from the association group.
:type target_node_id: int
:param instance: The instance that will be added to the association group.
:type instance: int
"""
self._network.manager.removeAssociation(self._network.home_id, self._node_id, self.index, target_node_id, instance)
def to_dict(self, extras=['all']):
"""
Return a dict representation of the group.
:param extras: The extra inforamtions to add
:type extras: []
:returns: A dict
:rtype: dict()
"""
if 'all' in extras:
extras = ['associations']
ret = {}
ret['label'] = self.label
if 'associations' in extras:
ret['associations'] = dict.fromkeys(self.associations, 0)
return ret
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toontown/ai/HolidayBaseAI.py | LittleNed/toontown-stride | 3 | 104999 | <filename>toontown/ai/HolidayBaseAI.py
from direct.directnotify.DirectNotifyGlobal import *
class HolidayBaseAI:
def __init__(self, air, holidayId):
self.air = air
self.holidayId = holidayId
def start(self):
pass
def stop(self):
pass | [
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jp.atcoder/abc212/abc212_g/24795188.py | kagemeka/atcoder-submissions | 1 | 91823 | <filename>jp.atcoder/abc212/abc212_g/24795188.py<gh_stars>1-10
import typing
from collections import defaultdict
class FindDivisors():
def __call__(
self,
n: int,
) -> typing.List[int]:
a = []
i = 1
while i * i < n:
if n % i:
i += 1
continue
a.append(i)
a.append(n // i)
i += 1
if i * i == n: a.append(i)
a.sort()
return a
class PrimeFactors():
def __call__(
self,
n: int,
) -> typing.NoReturn:
a = []
p = 2
while p * p <= n:
if n % p:
p += 1
continue
a.append(p)
while not n % p: n //= p
if n > 1: a.append(n)
return a
def solve(
p: int,
) -> typing.NoReturn:
n = p - 1
divs = FindDivisors()(n)
pf = PrimeFactors()(n)
mod = 998244353
dp = defaultdict(int)
for d in divs:
dp[d] = n // d % mod
for p in pf:
for d in divs:
if d % p: continue
dp[d // p] -= dp[d]
dp[d // p] %= mod
c = 1
for d in divs:
c += dp[d] * n // d % mod
c %= mod
print(c)
def main() -> typing.NoReturn:
p = int(input())
solve(p)
main()
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] |
tools/demo_single_img_test.py | neolixcn/BiSeNet | 0 | 161221 |
import sys
sys.path.insert(0, '.')
import os
import argparse
import torch
import torch.nn as nn
from PIL import Image
import numpy as np
import cv2
import time
import lib.transform_cv2 as T
from lib.models import model_factory
from configs import cfg_factory
from lib.cityscapes_labels import trainId2color
torch.set_grad_enabled(False)
np.random.seed(123)
# args
parse = argparse.ArgumentParser()
parse.add_argument('--cfg-file', dest='cfg_file', type=str, default='bisenetv2', help="specify the name without suffix of config file",)
parse.add_argument('--weight-path', type=str, default='./res/model_final.pth',)
parse.add_argument('--img-path', dest='img_path', type=str, default='./example.png',)
parse.add_argument('--save-path', dest='save_path', type=str, default='./res.jpg',)
args = parse.parse_args()
cfg = cfg_factory[args.cfg_file]
if os.path.exists(args.save_path):
os.path.makedirs(args.save_path)
palette = np.random.randint(0, 256, (256, 3), dtype=np.uint8)
# define model
net = model_factory[cfg.model_type](19)
net.load_state_dict(torch.load(args.weight_path, map_location='cpu'))
net.eval()
net.cuda()
# prepare data
to_tensor = T.ToTensor(
mean=(0.3257, 0.3690, 0.3223), # city, rgb
std=(0.2112, 0.2148, 0.2115),
)
# im = cv2.imread(args.img_path)[:, :, ::-1]
im = cv2.imread(args.img_path)
im = cv2.resize(im, (1024,512))[:, :, ::-1]
# im = cv2.resize(im, (1024,1024))[:, :, ::-1]
#im = cv2.resize(im, (1920,1024))[:, :, ::-1]
im = to_tensor(dict(im=im, lb=None))['im'].unsqueeze(0).cuda()
# inference
start = time.time()
out = net(im)[0].argmax(dim=1).squeeze().detach().cpu() # .numpy()
end = time.time()
# pred = palette[out]
color_map = torch.ones((out.shape[0], out.shape[1], 3))* 255
for id in trainId2color:
color_map[out == id] = torch.tensor(trainId2color[id]).float()
color_map = color_map.numpy()
cv2.imwrite(args.save_path, color_map)
print("total time:", end - start) | [
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scripts/netket/mbl/check/3_ndm_proc.py | GillianGrayson/qs | 0 | 137382 | import netket as nk
import numpy as np
from numpy import linalg as la
import pandas as pd
import os
from netket.hilbert import Fock
from tqdm import tqdm
# Model params
model = 'mbl'
N = 8
seed = 3
W = 15.0
U = 1.0
J = 1.0
dt = 1
gamma = 0.1
# Ansatz params
beta = 2
alpha = 2
n_samples = 5000
n_iter = 1000
np.random.seed(seed)
cpp_path = f"/media/sf_Work/dl/netket/{model}/test/cpp"
save_path = f"/media/sf_Work/dl/netket/{model}/N({N})_rnd({seed})_H({W:0.4f}_{U:0.4f}_{J:0.4f})_D({dt}_{gamma:0.4f})"
if not os.path.exists(f"{save_path}"):
os.makedirs(f"{save_path}")
energies = np.random.uniform(-1.0, 1.0, N)
# Hilbert space
hi = Fock(n_max=1, n_particles=N//2, N=N)
# The Hamiltonian
ha = nk.operator.LocalOperator(hi)
# List of dissipative jump operators
j_ops = []
for boson_id in range(N - 1):
ha += W * energies[boson_id] * nk.operator.boson.number(hi, boson_id)
ha += U * nk.operator.boson.number(hi, boson_id) * nk.operator.boson.number(hi, boson_id + 1)
ha -= J * (nk.operator.boson.create(hi, boson_id) * nk.operator.boson.destroy(hi, boson_id + 1) + nk.operator.boson.create(hi, boson_id + 1) * nk.operator.boson.destroy(hi, boson_id))
if dt == 1:
A = (nk.operator.boson.create(hi, boson_id + 1) + nk.operator.boson.create(hi, boson_id)) * (nk.operator.boson.destroy(hi, boson_id + 1) - nk.operator.boson.destroy(hi, boson_id))
elif dt == 0:
A = nk.operator.boson.create(hi, boson_id) * nk.operator.boson.destroy(hi, boson_id)
j_ops.append(np.sqrt(gamma) * A)
ha += W * energies[N - 1] * nk.operator.boson.number(hi, N - 1)
if dt == 0:
A = nk.operator.boson.create(hi, N - 1) * nk.operator.boson.destroy(hi, N - 1)
j_ops.append(np.sqrt(gamma) * A)
# Create the Liouvillian
lind = nk.operator.LocalLiouvillian(ha, j_ops)
# Neural quantum state model: Positive-Definite Neural Density Matrix using the ansatz from Torlai and Melko
ndm = nk.models.NDM(
alpha=alpha,
beta=beta,
)
# Metropolis Sampling
graph = nk.graph.Hypercube(N, n_dim=1, pbc=False)
sa_graph = nk.graph.disjoint_union(graph, graph)
sa = nk.sampler.MetropolisExchange(lind.hilbert, graph=sa_graph)
# Optimizer
op = nk.optimizer.Sgd(0.01)
sr = nk.optimizer.SR(diag_shift=0.01)
# Variational state
vs = nk.vqs.MCMixedState(sa, ndm, n_samples=n_samples)
vs.init_parameters(nk.nn.initializers.normal(stddev=0.01))
# Driver
ss = nk.SteadyState(lind, op, variational_state=vs, preconditioner=sr)
metrics_dict = {
'iteration': np.linspace(1, n_iter, n_iter),
'ldagl_mean': [],
'ldagl_error_of_mean': [],
'norm_rho_diff': [],
'norm_rho_diff_conj': []
}
# Calculate exact rho
rho_exact = nk.exact.steady_state(lind, method="iterative", sparse=True, tol=1e-10)
for it in tqdm(range(n_iter)):
out = ss.run(n_iter=1)
metrics_dict['ldagl_mean'].append(ss.ldagl.mean)
metrics_dict['ldagl_error_of_mean'].append(ss.ldagl.error_of_mean)
rho_neural = np.array(ss.state.to_matrix())
rho_diff = rho_exact - rho_neural
rho_diff_conj = rho_exact - rho_neural.conjugate()
metrics_dict['norm_rho_diff'].append(la.norm(rho_diff))
metrics_dict['norm_rho_diff_conj'].append(la.norm(rho_diff_conj))
metrics_df = pd.DataFrame(metrics_dict)
metrics_df.to_excel(f"{save_path}/NDM({alpha}_{beta}_{n_samples}_{n_iter}).xlsx", index=False)
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] |
flask_login_without_orm/main.py | leynier/flask-login-without-orm | 5 | 144231 | from json import load
from os import getenv
from typing import Dict, Optional
from flask import Flask, redirect, url_for
from flask_login import (
LoginManager,
UserMixin,
current_user,
login_required,
login_user,
logout_user,
)
app = Flask(__name__)
app.config["SECRET_KEY"] = getenv("SECRET_KEY", default="secret_key_example")
login_manager = LoginManager(app)
users: Dict[str, "User"] = {}
class User(UserMixin):
def __init__(self, id: str, username: str, email: str, password: str):
self.id = id
self.username = username
self.email = email
self.password = password
@staticmethod
def get(user_id: str) -> Optional["User"]:
return users.get(user_id)
def __str__(self) -> str:
return f"<Id: {self.id}, Username: {self.username}, Email: {self.email}>"
def __repr__(self) -> str:
return self.__str__()
with open("users.json") as file:
data = load(file)
for key in data:
users[key] = User(
id=key,
username=data[key]["username"],
email=data[key]["email"],
password=data[key]["password"],
)
@login_manager.user_loader
def load_user(user_id: str) -> Optional[User]:
return User.get(user_id)
@app.get("/")
def index():
username = "anonymous"
if current_user.is_authenticated: # type: ignore
username = current_user.username # type: ignore
return f"""
<h1>Hi {username}</h1>
<h3>Welcome to Flask Login without ORM!</h3>
"""
@app.get("/login/<id>/<password>")
def login(id, password):
user = User.get(id)
print(user)
if user and user.password == password:
login_user(user)
return redirect(url_for("index"))
return "<h1>Invalid user id or password</h1>"
@app.get("/logout")
@login_required
def logout():
logout_user()
return redirect(url_for("index"))
@app.get("/settings")
@login_required
def settings():
return "<h1>Route protected</h1>"
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] |
test/warning_test.py | evanofslack/samila | 1 | 162122 | <gh_stars>1-10
# -*- coding: utf-8 -*-
"""
>>> import os
>>> import json
>>> from samila import *
>>> from pytest import warns
>>> g = GenerativeImage(lambda x,y: 0, lambda x,y: 0)
>>> g.generate(step=0.1)
>>> result = g.save_data()
>>> g_ = GenerativeImage(data=open('data.json', 'r'))
>>> g_.data1 == g.data1
True
>>> g_.data2 == g.data2
True
>>> with open('data.json', 'w') as fp:
... json.dump({'data1': [0], 'data2': [0], 'matplotlib_version': '0'}, fp)
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(lambda x,y: 0, lambda x,y: 0, data=open('data.json', 'r'))
>>> with open('config.json', 'w') as fp:
... json.dump({'f1': 'x', 'f2': 'y', 'matplotlib_version': '0'}, fp)
>>> with warns(RuntimeWarning, match=r"Source matplotlib version(.*) is different from yours, plots may be different."):
... g = GenerativeImage(config=open('config.json', 'r'))
>>> os.remove('data.json')
>>> os.remove('config.json')
"""
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] |
tests/reproducibility/fixtures.py | zblumen/stellargraph | 3 | 88576 | <gh_stars>1-10
# -*- coding: utf-8 -*-
#
# Copyright 2020 Data61, CSIRO
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import numpy as np
def models_equals(model1, model2):
w1 = model1.get_weights()
w2 = model2.get_weights()
return all(np.array_equal(w, w_new) for w, w_new in zip(w1, w2))
def assert_reproducible(func, num_iter=20):
"""
Assert Keras models produced from calling ``func`` are reproducible.
Args:
func (callable): Function to check for reproducible model
num_iter (int, default 20): Number of iterations to run through to validate reproducibility.
"""
model = func()
for i in range(num_iter):
model_new = func()
assert models_equals(model, model_new), (
model.get_weights(),
model_new.get_weights(),
)
| [
1,
529,
12443,
29918,
303,
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V2RaycSpider0825/MiddleKey/VMes_IO.py | TOMJERRY23333/V2RayCloudSpider | 1 | 2235 | from spiderNest.preIntro import *
path_ = os.path.dirname(os.path.dirname(__file__)) + '/dataBase/log_information.csv'
def save_login_info(VMess, class_):
"""
VMess入库
class_: ssr or v2ray
"""
now = str(datetime.now()).split('.')[0]
with open(path_, 'a', encoding='utf-8', newline='') as f:
writer = csv.writer(f)
# 入库时间，Vmess,初始化状态:0
writer.writerow(['{}'.format(now), '{}'.format(VMess), class_, '0'])
def vmess_IO(class_):
"""
获取可用订阅链接并刷新存储池
class_: ssr ; v2ray
"""
def refresh_log(dataFlow):
with open(path_, 'w', encoding='utf-8', newline='') as f:
writer = csv.writer(f)
writer.writerows(dataFlow)
try:
with open(path_, 'r', encoding='utf-8') as f:
reader = csv.reader(f)
vm_q = [vm for vm in reader]
new_q = vm_q
for i, value in enumerate(reversed(vm_q)):
if value[-1] == '0' and value[-2] == class_:
vm = value[1]
new_q[-(i + 1)][-1] = '1'
break
refresh_log(new_q)
return vm
except UnboundLocalError:
return '无可用订阅连接'
def avi_num():
from datetime import datetime, timedelta
with open(path_, 'r', encoding='utf-8') as f:
reader = csv.reader(f)
vm_list = [i for i in reader]
# ['2020-08-06 04:27:59', 'link','class_', '1']
vm_q = [vm for vm in vm_list if vm[-1] == '0']
tag_items = ''
for vm in vm_list:
if vm[-1] == '0':
bei_ing_time = datetime.fromisoformat(vm[0]) + timedelta(hours=12)
tag_items += '\n【√可选】【{}】#{}'.format(bei_ing_time, vm[-2])
# return vm_q.__len__()
return tag_items
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understandability/understandability.py | zhangshyue/regex-library | 0 | 194282 | <filename>understandability/understandability.py
import root_pb2 as root
import re
import sys
import base64
from google.protobuf.json_format import MessageToDict
import json
escape_reserved = ['+', '*', '?', '^', '$', '\\', '.', '[', ']', '{', '}', '(', ')', '|', '/']
messages = []
def add_annotation(entity, note, output):
annotation = output.annotations.add()
annotation.note = note
annotation.entity = entity
# Analyze understandability of []
def analyze_set(tokens, output):
set_string = "["
set_messages = []
characters = [] # what is in set
for i in range(len(tokens)):
set_string += tokens[i].token
if tokens[i].token == "]" and tokens[i].type == root.TokenType.CharacterClass:
# \d better than [0-9]
if i == 1 and tokens[0].type == root.TokenType.CharacterClass and \
tokens[0].characterclass == root.CharacterClassType.RangeSet and tokens[0].token == "0-9":
add_annotation("[0-9]", "\\d", output)
# \D better than [^\d], \S better than [^\s], \W better than [^\w]
if i == 2 and tokens[0].type == root.TokenType.CharacterClass and \
tokens[0].characterclass == root.CharacterClassType.SetNegation and \
tokens[1].type == root.TokenType.CharacterClass and \
(tokens[1].characterclass == root.CharacterClassType.Digit or \
tokens[1].characterclass == root.CharacterClassType.Word or \
tokens[1].characterclass == root.CharacterClassType.Whitespace):
add_annotation("[^" + tokens[1].token + "]", "\\" + tokens[1].token[-1].upper(), output)
# T3 \$ better than [$] -- T3
if i == 1 and tokens[0].token in escape_reserved:
add_annotation("[" + tokens[0].token + "]", "\\" + tokens[0].token, output)
# [aaabbb] is equivalent to [ab]
if len(set(characters)) != len(characters):
add_annotation(set_string, "repeated characters in []", output)
return set_messages, i + 1
# [}{] better than [\0175\0173]
# T2 and T4 (repetitive but no better solution for now)
if tokens[i].type == root.TokenType.Escape:
if tokens[i].escape == root.EscapeType.Hexadecimal:
char = bytearray.fromhex(tokens[i].token[-2:]).decode('unicode-escape')
elif tokens[i].escape == root.EscapeType.Octal:
char = tokens[i].token.encode('utf-8').decode('unicode-escape')
else:
char = ""
if char and char in escape_reserved:
add_annotation(tokens[i].token, "\\" + char, output)
elif char:
add_annotation(tokens[i].token, char, output)
if tokens[i].type == root.TokenType.Character:
characters.extend(list(tokens[i].token))
else:
characters.append(tokens[i].token)
return set_messages, i + 1
def analyze(tokens, output, raw):
# regular expression is limited to 128 characters
if len(raw) > 128:
add_annotation(raw, "rejex is too long. Limit rejex to 128 characters", output)
i = 0
while i < len(tokens):
token = tokens[i]
# print(token)
if i >= 1 and token.type == root.TokenType.QuantifierModifier and \
token.quantifiermodifier == root.QuantifierModifierType.SpecifiedQuantifier:
# S1
if token.token[1:-1].isdigit() and int(token.token[1:-1]) < 6:
add_annotation(tokens[i - 1].token + token.token, tokens[i - 1].token * int(token.token[1:-1]), output)
else:
# S3
# S{7,7} should be S{7}
# S{3,3} should be SSS
nums = re.findall("\d", token.token[1:-1])
if len(nums) == 2 and nums[0] == nums[1]:
if int(nums[0]) < 6:
add_annotation(tokens[i - 1].token + token.token, tokens[i - 1].token * int(nums[0]), output)
else:
add_annotation(tokens[i - 1].token + token.token,
tokens[i - 1].token + "{" + str(nums[0]) + "}", output)
# L1
if len(nums) == 1 and int(nums[0]) < 5:
add_annotation(tokens[i - 1].token + token.token, tokens[i - 1].token * int(nums[0]) + "+", output)
# L2
if token.type == root.TokenType.QuantifierModifier and \
token.quantifiermodifier == root.QuantifierModifierType.Star:
if i - 1 >= 0 and tokens[i - 1].type == root.TokenType.Character and len(tokens[i - 1].token) >= 2 and \
tokens[i - 1].token[-1] == tokens[i - 1].token[-2]:
add_annotation(tokens[i - 1].token + token.token, tokens[i - 1].token[:-1] + "+", output)
# T2 and T4
if token.type == root.TokenType.Escape:
if token.escape == root.EscapeType.Hexadecimal:
char = bytearray.fromhex(token.token[-2:]).decode('unicode-escape')
elif token.escape == root.EscapeType.Octal:
char = token.token.encode('utf-8').decode('unicode-escape')
else:
char = ""
if char and char in escape_reserved:
add_annotation(token.token, "\\" + char, output)
elif char:
add_annotation(token.token, char, output)
# []
if token.type == root.TokenType.CharacterClass and \
token.characterclass == root.CharacterClassType.OpenSet:
set_messages, length = analyze_set(tokens[i + 1:], output)
i += length - 1 # += 1 later
i += 1
# https://www.dcode.fr/regular-expression-simplificator
# Get some ideas from here
# https://help.analyticsedge.com/error/400-regular-expression-too-long/
# Got some ideas about regex length
def main():
expr_raw = base64.b64decode(sys.argv[1])
expr = root.Root()
expr.ParseFromString(expr_raw)
output = root.Output()
analyze(expr.expression.tokens, output, expr.expression.raw)
if len(output.annotations) <= 1:
output.status = str(len(output.annotations)) + " understandability error found"
else:
output.status = str(len(output.annotations)) + " understandability errors found"
print(base64.b64encode(output.SerializeToString()).decode('utf-8'))
if __name__ == "__main__":
main()
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] |
nemo/collections/nlp/utils/evaluation_utils.py | ParikhKadam/NeMo | 1 | 23242 | # =============================================================================
# Copyright 2020 NVIDIA. 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.
# =============================================================================
import numpy as np
from nemo import logging
def analyze_confusion_matrix(cm, dict, max_pairs=10):
"""
Sort all confusions in the confusion matrix by value and display results.
Print results in a format: (name -> name, value)
Args:
cm: Confusion matrix
dict: Dictionary with key as a name and index as a value (Intents or Slots)
max_pairs: Max number of confusions to print
"""
threshold = 5 # just arbitrary value to take confusion with at least this number
confused_pairs = {}
size = cm.shape[0]
for i in range(size):
res = cm[i].argsort()
for j in range(size):
pos = res[size - j - 1]
# no confusion - same row and column
if pos == i:
continue
elif cm[i][pos] >= threshold:
str = f'{dict[i]} -> {dict[pos]}'
confused_pairs[str] = cm[i][pos]
else:
break
# sort by max confusions and print first max_pairs
sorted_confused_pairs = sorted(confused_pairs.items(), key=lambda x: x[1], reverse=True)
for i, pair_str in enumerate(sorted_confused_pairs):
if i >= max_pairs:
break
logging.info(pair_str)
def errors_per_class(cm, dict):
"""
Summarize confusions per each class in the confusion matrix.
It can be useful both for Intents and Slots.
It counts each confusion twice in both directions.
Args:
cm: Confusion matrix
dict: Dictionary with key as a name and index as a value (Intents or Slots)
"""
size = cm.shape[0]
confused_per_class = {}
total_errors = 0
for class_num in range(size):
sum = 0
for i in range(size):
if i != class_num:
sum += cm[class_num][i]
sum += cm[i][class_num]
confused_per_class[dict[class_num]] = sum
total_errors += sum
# logging.info(f'{dict[class_num]} - {sum}')
logging.info(f'Total errors (multiplied by 2): {total_errors}')
sorted_confused_per_class = sorted(confused_per_class.items(), key=lambda x: x[1], reverse=True)
for conf_str in sorted_confused_per_class:
logging.info(conf_str)
def log_misclassified_queries(intent_labels, intent_preds, queries, intent_dict, limit=50):
"""
Display examples of Intent mistakes.
In a format: Query, predicted and labeled intent names.
"""
logging.info(f'*** Misclassified intent queries (limit {limit}) ***')
cnt = 0
for i in range(len(intent_preds)):
if intent_labels[i] != intent_preds[i]:
query = queries[i].split('\t')[0]
logging.info(
f'{query} (predicted: {intent_dict[intent_preds[i]]} - labeled: {intent_dict[intent_labels[i]]})'
)
cnt = cnt + 1
if cnt >= limit:
break
def log_misclassified_slots(
intent_labels, intent_preds, slot_labels, slot_preds, subtokens_mask, queries, intent_dict, slot_dict, limit=50
):
"""
Display examples of Slot mistakes.
In a format: Query, predicted and labeled intent names and list of predicted and labeled slot numbers.
also prints dictionary of the slots at the start for easier reading.
"""
logging.info('')
logging.info(f'*** Misclassified slots queries (limit {limit}) ***')
# print slot dictionary
logging.info(f'Slot dictionary:')
str = ''
for i, slot in enumerate(slot_dict):
str += f'{i} - {slot}, '
if i % 5 == 4 or i == len(slot_dict) - 1:
logging.info(str)
str = ''
logging.info('----------------')
cnt = 0
for i in range(len(intent_preds)):
cur_slot_pred = slot_preds[i][subtokens_mask[i]]
cur_slot_label = slot_labels[i][subtokens_mask[i]]
if not np.all(cur_slot_pred == cur_slot_label):
query = queries[i].split('\t')[0]
logging.info(
f'{query} (predicted: {intent_dict[intent_preds[i]]} - labeled: {intent_dict[intent_labels[i]]})'
)
logging.info(f'p: {cur_slot_pred}')
logging.info(f'l: {cur_slot_label}')
cnt = cnt + 1
if cnt >= limit:
break
def check_problematic_slots(slot_preds_list, slot_dict):
""" Check non compliance of B- and I- slots for datasets that use such slot encoding. """
cnt = 0
# for sentence in slot_preds:
# slots = sentence.split(" ")
sentence = slot_preds_list
for i in range(len(sentence)):
slot_name = slot_dict[int(sentence[i])]
if slot_name.startswith("I-"):
prev_slot_name = slot_dict[int(sentence[i - 1])]
if slot_name[2:] != prev_slot_name[2:]:
print("Problem: " + slot_name + " - " + prev_slot_name)
cnt += 1
print("Total problematic slots: " + str(cnt))
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enderecos/models.py | evaristofm/pontos_turisticos | 0 | 122284 | from django.db import models
class Endereco(models.Model):
linha_1 = models.CharField(max_length=150)
linha_2 = models.CharField(max_length=150, blank=True, null=True)
cidade = models.CharField(max_length=100)
estado = models.CharField(max_length=50)
pais = models.CharField(max_length=70)
latitude = models.IntegerField(blank=True, null=True)
longitude = models.IntegerField(blank=True, null=True)
def __str__(self):
return self.linha_1 | [
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vespid/features/interdisciplinarity.py | QS-2/VESPID | 0 | 62007 | import logging
from vespid import setup_logger
logger = setup_logger(__name__)
import pandas as pd
import numpy as np
from tqdm import tqdm
def calculate_interdisciplinarity_score(
membership_vectors
):
'''
Given a set of entities and
one vector for each representing the (ordered) strength
of membership of that entity across a set of clusters,
calculate the level of interdisciplinarity for each entity.
NOTE: length of membership_vectors should be the same for
all entities for an accurate calculation.
Parameters
----------
membership_vectors: numpy array of shape (n_samples, n_clusters)
that indicates how strongly each sample/entity belongs to
a cluster (e.g. membership_vectors[0] = [0.1, 0.2, 0.3, 0.4]
would indicate the strongest association for sample 0 with
cluster 3 and the weakest with cluster 0).
Returns
-------
numpy array of float scores of shape (n_samples,) in the range
[0.0, 1.0].
'''
num_clusters = membership_vectors.shape[1]
# (N / N-1) * (1 - max(P)) * (1 - stdev(P))
id_scores = (num_clusters / (num_clusters - 1)) * \
(1 - membership_vectors.max(axis=1)) * \
(1 - membership_vectors.std(axis=1))
# In some instances, the score can go higher than 1.0
# Make sure that doesn't happen but we alert on it
over_max = id_scores[id_scores > 1.0].sum()
if over_max > 0:
logger.warn(f"Found {over_max} instances in which score is above 1.0. "
"Forcing these to be 1.0...")
id_scores[id_scores > 1.0] = 1.0
return id_scores
def interdisciplinarity_from_citation_clusters(
graph,
year,
cluster_attribute='clusterID'
):
'''
Uses Cypher query with Neo4j instance (enriched with paper cluster labels
e.g. from HDBSCAN clustering) to determine how interdisciplinary
papers' references and citations are. Uses a similar scoring
logic as what is used in vespid.models.clustering with
HDBSCAN soft clustering probabilities.
Parameters
----------
graph: Neo4jConnectionHandler object. Used for querying the
graph for citation information.
year: int. Indicates the maximum year of publication of
interest.
cluster_attribute: str. Indicates the node attribute to use
for determining the cluster membership of the node
(e.g. 'cluster_id_2019').
Returns
-------
pandas DataFrame with columns ['paperID', 'id_score'] of
length n_nodes, with id_score being interdisciplinarity
scores of shape (n_nodes,)
'''
def fill_out_vector(cluster_identifiers, cluster_values, num_total_clusters):
'''
Takes a partial membership vector and fills out the missing
elements with zeros, placing the nonzero elements properly.
Parameters
----------
cluster_identifiers: numpy array of ints. Indicates which clusters
map to the values given in ``cluster_values`` (and thus must
be the same length as ``cluster_values``) for the node
in question.
cluster_values: numpy array of float. Indicates the strength
of membership the entity has to each cluster for the node
in question.
num_total_clusters: int. Indicates how many clusters there
are in the total solution. Must be greater than or
equal to the values provided in ``cluster_identifiers``.
Returns
-------
numpy array of shape (num_total_clusters,) representing
the cluster membership strengths/probabilities of the
node.
'''
if len(cluster_identifiers) != len(cluster_values):
raise ValueError("cluster_identifiers and cluster_values "
f"must be of the same length, but got {len(cluster_identifiers)} "
f"and {len(cluster_values)}, resp.")
if num_total_clusters < np.max(cluster_identifiers):
raise ValueError(f"num_total_clusters ({num_total_clusters}) "
"must not be less than the maximum "
f"cluster_identifiers value ({np.max(cluster_identifiers)})")
if len(cluster_identifiers) > len(np.unique(cluster_identifiers)):
raise ValueError("cluster_identifiers contains duplicate values")
# Build out an all-zeros vector of the proper length
cluster_vector = np.zeros(num_total_clusters)
# Fill in the right zeros to reflect cluster membership values
cluster_vector[cluster_identifiers] = cluster_values
return cluster_vector
# Query in the same fashion as what is used to generate BW centrality scores
# Effectively insures that all papers are either published in `year` or
# are referenced by ones published in `year`
# also ignores publications that lack a cluster ID or are noise (clusterID = -1)
query = f"""
MATCH (p:Publication)<-[c:CITED_BY]-(m:Publication)
WHERE c.publicationDate.year = {year}
AND m.publicationDate.year <= {year}
AND p.{cluster_attribute} IS NOT NULL
AND toInteger(p.{cluster_attribute}) > -1
AND m.{cluster_attribute} IS NOT NULL
AND toInteger(m.{cluster_attribute}) > -1
WITH DISTINCT p AS p, COUNT(c) AS NumTotalCitations
MATCH (p)<-[c:CITED_BY]-(m:Publication)
WHERE c.publicationDate.year = {year}
AND m.publicationDate.year <= {year}
AND m.{cluster_attribute} IS NOT NULL
AND toInteger(m.{cluster_attribute}) > -1
WITH p,
NumTotalCitations,
toInteger(m.{cluster_attribute}) AS CitationClusterLabel,
COUNT(m) AS NumCitationsInCluster
RETURN p.id AS paperID,
p.publicationDate.year AS Year,
toInteger(p.{cluster_attribute}) AS PrimaryClusterLabel,
CitationClusterLabel,
toFloat(NumCitationsInCluster) / NumTotalCitations AS FractionalMembership
"""
df = graph.cypher_query_to_dataframe(query, verbose=False)
logger.debug(f"Years covered by network-ID-scoring query are {df['Year'].min()} to {df['Year'].max()}")
# Which papers didn't have a membership value for the cluster they're assigned to?
# AKA which ones failed to have any citations/references from within their own cluster?
df['PrimaryLabelMatchesCitation'] = df['PrimaryClusterLabel'] == df['CitationClusterLabel']
num_zero_primary_membership = \
df['paperID'].nunique() - df.loc[df['PrimaryLabelMatchesCitation'], 'paperID'].nunique()
fraction_zero_primary_membership = round(num_zero_primary_membership / df['paperID'].nunique() * 100, 2)
if num_zero_primary_membership > 0:
logger.warn(f"No citations from host cluster found for "
f"{num_zero_primary_membership} ({fraction_zero_primary_membership}%) papers! "
"This suggests that the clustering solution may not be very good or "
"that the citation network was undersampled")
query = f"""
MATCH (p:Publication)
WHERE p.{cluster_attribute} IS NOT NULL
AND p.publicationDate.year = {year}
RETURN MAX(toInteger(p.{cluster_attribute}))
"""
# cluster labels are zero-indexed, so need +1
num_clusters = graph.cypher_query_to_dataframe(query, verbose=False).iloc[0,0] + 1
tqdm.pandas(desc="Building full cluster membership vectors from citation-based membership per paper")
# Group membership into list for each paper
cluster_vectors = df.groupby('paperID', sort=False).agg(list).progress_apply(
lambda row: fill_out_vector(
row['CitationClusterLabel'],
row['FractionalMembership'],
num_clusters
),
axis=1
)
id_scores = calculate_interdisciplinarity_score(
np.array(cluster_vectors.tolist())
)
output = pd.DataFrame({
'paperID': df['paperID'].unique(),
'scoreInterDNetwork': id_scores
})
#TODO: maybe additional weighting from dendrogram distance/cluster exemplar-exemplar distance?
return output | [
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nablapps/core/models.py | pettaroni/nablaweb | 0 | 105430 | <reponame>pettaroni/nablaweb<filename>nablapps/core/models.py
"""
Abstract models to be included in other apps
"""
# Ignore pylint problems with Meta-classes
# pylint: disable=missing-docstring,too-few-public-methods
from datetime import datetime
from django.db import models
from django.conf import settings
from django.contrib.sites.models import Site
from image_cropping.fields import ImageRatioField
class BaseImageModel(models.Model):
"""
Abstract model for representing a single image.
"""
file = models.ImageField(
max_length=100,
verbose_name="Bildefil",
upload_to="uploads/content"
)
def __str__(self):
return f"({self.id}) {self.file.url if self.file else ''}"
def image_thumb(self):
"""Return a string containing html for showing a thumbnail of the image"""
if not self.file:
return 'No image'
return f'<img src="{self.file.url}" style="max-width:100px;max-height:100px;"/>'
image_thumb.allow_tags = True
image_thumb.short_description = "Thumbnail"
class Meta:
abstract = True
class WithPicture(models.Model):
"""
Abstract model to be mixed in to models requiring a single image.
"""
picture = models.ImageField(
upload_to="uploads/news_pictures",
null=True,
blank=True,
verbose_name="Bilde",
help_text=("Bilder som er større enn 770x300 px ser best ut. "
"Du kan beskjære bildet etter opplasting."),
)
cropping = ImageRatioField(
'picture',
'770x300',
allow_fullsize=False,
verbose_name="Beskjæring"
)
class Meta:
abstract = True
def get_picture_url(self):
"""Return the absolute url of the main picture"""
domain = Site.objects.get_current().domain
media_url = settings.MEDIA_URL
filename = self.picture.name
return f'http://{domain}{media_url}{filename}'
class TimeStamped(models.Model):
"""
Abstract model which adds datetime fields indicating
when the model was created and/or changed
and fields indicating who did it.
The user fields has to be updated manually or through
the admin interface using ChangedByMixin.
"""
created_date = models.DateTimeField(
verbose_name="Publiseringsdato",
auto_now_add=True,
null=True
)
created_by = models.ForeignKey(
settings.AUTH_USER_MODEL,
verbose_name="Opprettet av",
related_name="%(class)s_created",
editable=False,
blank=True,
null=True,
on_delete=models.CASCADE,
)
last_changed_date = models.DateTimeField(
verbose_name="Redigeringsdato",
auto_now=True,
null=True
)
last_changed_by = models.ForeignKey(
settings.AUTH_USER_MODEL,
verbose_name="Endret av",
related_name="%(class)s_edited",
editable=False,
blank=True,
null=True,
on_delete=models.CASCADE,
)
class Meta:
abstract = True
def has_been_edited(self):
"""Return whether the object has been changed since creation"""
return abs((self.last_changed_date - self.created_date).seconds) > 1
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machine_learning_examples/linear_regression_class/overfitting.py | austinburks/nlp-udemy | 0 | 161678 | # notes for this course can be found at:
# https://deeplearningcourses.com/c/data-science-linear-regression-in-python
# https://www.udemy.com/data-science-linear-regression-in-python
import numpy as np
import matplotlib.pyplot as plt
def make_poly(X, deg):
n = len(X)
data = [np.ones(n)]
for d in xrange(deg):
data.append(X**(d+1))
return np.vstack(data).T
def fit(X, Y):
return np.linalg.solve(X.T.dot(X), X.T.dot(Y))
def fit_and_display(X, Y, sample, deg):
N = len(X)
train_idx = np.random.choice(N, sample)
Xtrain = X[train_idx]
Ytrain = Y[train_idx]
plt.scatter(Xtrain, Ytrain)
plt.show()
# fit polynomial
Xtrain_poly = make_poly(Xtrain, deg)
w = fit(Xtrain_poly, Ytrain)
# display the polynomial
X_poly = make_poly(X, deg)
Y_hat = X_poly.dot(w)
plt.plot(X, Y)
plt.plot(X, Y_hat)
plt.scatter(Xtrain, Ytrain)
plt.title("deg = %d" % deg)
plt.show()
def get_mse(Y, Yhat):
d = Y - Yhat
return d.dot(d) / len(d)
def plot_train_vs_test_curves(X, Y, sample=20, max_deg=20):
N = len(X)
train_idx = np.random.choice(N, sample)
Xtrain = X[train_idx]
Ytrain = Y[train_idx]
test_idx = [idx for idx in xrange(N) if idx not in train_idx]
# test_idx = np.random.choice(N, sample)
Xtest = X[test_idx]
Ytest = Y[test_idx]
mse_trains = []
mse_tests = []
for deg in xrange(max_deg+1):
Xtrain_poly = make_poly(Xtrain, deg)
w = fit(Xtrain_poly, Ytrain)
Yhat_train = Xtrain_poly.dot(w)
mse_train = get_mse(Ytrain, Yhat_train)
Xtest_poly = make_poly(Xtest, deg)
Yhat_test = Xtest_poly.dot(w)
mse_test = get_mse(Ytest, Yhat_test)
mse_trains.append(mse_train)
mse_tests.append(mse_test)
plt.plot(mse_trains, label="train mse")
plt.plot(mse_tests, label="test mse")
plt.legend()
plt.show()
plt.plot(mse_trains, label="train mse")
plt.legend()
plt.show()
if __name__ == "__main__":
# make up some data and plot it
N = 100
X = np.linspace(0, 6*np.pi, N)
Y = np.sin(X)
plt.plot(X, Y)
plt.show()
for deg in (5, 6, 7, 8, 9):
fit_and_display(X, Y, 10, deg)
plot_train_vs_test_curves(X, Y)
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] |
tests/test_rainbowplantlife.py | gloriousDan/recipe-scrapers | 0 | 95452 | from recipe_scrapers.rainbowplantlife import RainbowPlantLife
from tests import ScraperTest
class TestRainbowPlantLifeScraper(ScraperTest):
scraper_class = RainbowPlantLife
def test_host(self):
self.assertEqual("rainbowplantlife.com", self.harvester_class.host())
def test_author(self):
self.assertEqual("<NAME>", self.harvester_class.author())
def test_title(self):
self.assertEqual(
"Vegan Brown Butter Peach Cobbler", self.harvester_class.title()
)
def test_total_time(self):
self.assertEqual(60, self.harvester_class.total_time())
def test_yields(self):
self.assertEqual("10 servings", self.harvester_class.yields())
def test_image(self):
self.assertEqual(
"https://rainbowplantlife.com/wp-content/uploads/2020/11/peachblueberrrycobbler286of1029.jpg",
self.harvester_class.image(),
)
def test_ingredients(self):
self.assertEqual(
[
"1 pound (454g) ripe but relatively firm peaches",
"1/2 cup (75-85g) fresh blueberries",
"1/3 cup (45g) coconut sugar (or brown sugar)",
"1 teaspoon ground cinnamon",
"1/4 teaspoon nutmeg ((I recommend freshly grated nutmeg))",
"Scant 1/2 teaspoon ground ginger",
"2 pinches of ground cardamom ((optional))",
"10 tablespoons (140g) Country Crock Plant Butter",
"1 1/2 cups (180g) all-purpose flour",
"Scant 2/3 cup ((60g) old-fashioned rolled oats)",
"1 cup (200g) organic cane sugar",
"1/4 - 1/2 teaspoon kosher salt",
"2 teaspoons baking powder",
"1 1/3 cups (320 mL) full-fat oat milk (I used Oatly)",
"1 1/2 teaspoons pure vanilla extract",
"1/4 - 1/2 teaspoon pure almond extract ((optional))",
"For serving: vegan vanilla ice cream ((optional))",
],
self.harvester_class.ingredients(),
)
def test_instructions(self):
self.assertEqual(
"\n".join(
[
"Arrange a rack in the middle of your oven and preheat it to 375°F/190°C.",
"Cut the peaches in half and remove the pits, then cut the peaches into 1/4-1/2 inch thick slices (3/4 cm - 1 1/4 cm). Transfer the peaches to a medium or large bowl. Add the blueberries, coconut sugar, cinnamon, nutmeg, ginger, and cardamom (if using), and toss gently to combine. Set aside for 30 minutes to allow the fruit to absorb the flavors.",
"Heat a skillet over medium heat, then add the Plant Butter. Once the butter is melted, stir it often and swirl the pan to ensure even browning and cooking, until it foams and then eventually browns. You might want to stand back to avoid splatter. The browning process should take 5-8 minutes. Take the browned butter off the heat and immediately pour brown into a 2-quart/2-liter baking pan. See note below on alternative pan sizes.*",
"In a medium or large bowl, combine the flour, oats, cane sugar, salt, and baking powder. Whisk in the oat milk and vanilla extract and almond extract (if using) until well combined. Using a ladle or measuring cup, ladle the batter on top of the brown butter. Ladling, instead of pouring all of the batter on top at once, helps the butter swirl and mix into batter. Top the cobbler with the peach-blueberry mixture.",
"Bake the cobbler for 45-50 minutes, rotating the pan 180° halfway through to ensure even browning, until the top is deeply golden brown and bubbling. Mine took exactly 45 minutes.",
"Allow the cobbler to cool slightly before serving. Serve warm and, if desired, with vegan vanilla ice cream on top.",
]
),
self.harvester_class.instructions(),
)
def test_ratings(self):
self.assertEqual(4.96, self.harvester_class.ratings())
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] |
Utmp.py | HenryHu/pybbs | 14 | 61717 | <gh_stars>10-100
import Config
import os
import struct
import random
import time
import signal
import User
import UCache
from sysv_ipc import *
from UtmpHead import UtmpHead
from commondata import CommonData
from UserInfo import UserInfo
from Log import Log
from Util import Util
import Login
# from SemLock import SemLock
UTMPFILE_SIZE = UserInfo.size * Config.USHM_SIZE
UTMPHEAD_SIZE = 4 * Config.USHM_SIZE + 4 * (Config.UTMP_HASHSIZE + 1) + 4 * 3 + 8 * Config.USHM_SIZE
class Utmp:
utmpshm = None
@staticmethod
def Init():
if (Utmp.utmpshm == None):
try:
Log.info("attaching to UTMP shared memory")
Utmp.utmpshm = SharedMemory(Config.Config.GetInt("UTMP_SHMKEY", 3699), size = UTMPFILE_SIZE)
Log.info("attaching to UTMPHEAD shared memory")
UtmpHead.utmphead = SharedMemory(Config.Config.GetInt("UTMPHEAD_SHMKEY", 3698), size = UTMPHEAD_SIZE);
except ExistentialError:
Log.info("Creating UTMP shared memory")
Utmp.utmpshm = SharedMemory(Config.Config.GetInt("UTMP_SHMKEY", 3699), size = UTMPFILE_SIZE, flags = IPC_CREAT, mode = 0660, init_character='\0')
Log.info("Creating UTMPHEAD shared memory")
UtmpHead.utmphead = SharedMemory(Config.Config.GetInt("UTMPHEAD_SHMKEY", 3698), size = UTMPHEAD_SIZE, flags = IPC_CREAT, mode = 0660, init_character='\0')
Utmp.ResetUtmp()
Log.info("Utmp initialization finished")
else:
Log.info("Utmp already initialized")
@staticmethod
def ResetUtmp(locked=False):
Log.info("Initializing UTMPHEAD shared memory")
if not locked:
fd = Utmp.Lock()
UtmpHead.SetNumber(0)
UtmpHead.SetHashHead(0, 1)
UtmpHead.SetListHead(0)
for i in range(Config.USHM_SIZE - 1):
UtmpHead.SetNext(i, i+2)
UtmpHead.SetNext(Config.USHM_SIZE - 1, 0)
if not locked:
Utmp.Unlock(fd)
@staticmethod
def Hash(userid):
hash = UCache.UCache.Hash(userid)
if (hash == 0):
return 0
hash = (hash / 3) % Config.UTMP_HASHSIZE
if (hash == 0):
return 1
return hash
@staticmethod
def Lock():
#try:
#SemLock.Lock(Config.UCACHE_SEMLOCK, timeout = 10);
#return 0;
#except BusyError:
#return -1;
# Log.debug("Utmp.Lock enter()")
lockf = os.open(Config.BBS_ROOT + "UTMP", os.O_RDWR | os.O_CREAT, 0600)
if (lockf < 0):
Log.error("Fail to open lock file!")
raise Exception("fail to lock!")
Util.FLock(lockf, shared = False)
# Log.debug("Utmp.Lock succ()")
return lockf
@staticmethod
def Unlock(lockf):
#SemLock.Unlock(Config.UCACHE_SEMLOCK)
# Log.debug("Utmp.Unlock")
Util.FUnlock(lockf)
os.close(lockf)
@staticmethod
def GetNewUtmpEntry(userinfo):
utmpfd = Utmp.Lock()
pos = -2
try:
UtmpHead.SetReadOnly(0)
userinfo.utmpkey = random.randint(0, 99999999);
pos = UtmpHead.GetHashHead(0) - 1;
Log.debug("New entry: %d" % (pos + 1))
if (pos == -1):
UtmpHead.SetReadOnly(1)
Log.error("Utmp full!")
raise Exception("Utmp full!")
login = Login.Login(pos + 1)
if (not login.list_add(userinfo.userid)):
UtmpHead.SetReadOnly(1)
Log.error("Utmp list loop!")
raise Exception("Utmp list loop!")
login.hash_add(userinfo.userid)
#if (UtmpHead.GetListHead() == 0):
#UtmpHead.SetListPrev(pos, pos+1)
#UtmpHead.SetListNext(pos, pos+1)
#UtmpHead.SetListHead(pos+1)
#else:
#i = UtmpHead.GetListHead()
#if (Utmp.GetUserId(i-1).lower() >= userinfo.userid.lower()):
#UtmpHead.SetListPrev(pos, UtmpHead.GetListPrev(i-1))
#UtmpHead.SetListNext(pos, i)
#UtmpHead.SetListPrev(i-1, pos+1)
#UtmpHead.SetListNext(UtmpHead.GetListPrev(pos) - 1, pos+1)
#UtmpHead.SetListHead(pos+1)
#else:
#count = 0;
#i = UtmpHead.GetListNext(i-1)
#while ((Utmp.GetUserId(i-1).lower() < userinfo.userid.lower()) and (i != UtmpHead.GetListHead())):
#i = UtmpHead.GetListNext(i-1)
#count = count + 1;
#if (count > Config.USHM_SIZE):
#UtmpHead.SetListHead(0)
#Utmp.RebuildList()
#UtmpHead.SetReadOnly(1)
#Utmp.Unlock(utmpfd)
#Log.error("Utmp list loop!")
#return -1 # wrong! exit(-1)!
#UtmpHead.SetListPrev(pos, UtmpHead.GetListPrev(i-1))
#UtmpHead.SetListNext(pos, i)
#UtmpHead.SetListPrev(i-1, pos+1)
#UtmpHead.SetListNext(UtmpHead.GetListPrev(pos) - 1, pos+1)
# UtmpHead.SetHashHead(0, UtmpHead.GetNext(pos))
# Log.debug("New freelist head: %d" % UtmpHead.GetHashHead(0))
if (Utmp.IsActive(pos)):
if (Utmp.GetPid(pos) != 0):
Log.warn("allocating an active utmp!")
try:
os.kill(Utmp.GetPid(pos), signal.SIGHUP)
except OSError:
pass
userinfo.SetIndex(pos + 1)
userinfo.save()
# Utmp.SetUserInfo(pos, userinfo)
# hashkey = Utmp.Hash(userinfo.userid)
# i = UtmpHead.GetHashHead(hashkey);
# UtmpHead.SetNext(pos, i)
# UtmpHead.SetHashHead(hashkey, pos+1)
UtmpHead.IncNumber()
CommonData.UpdateMaxUser();
now = int(time.time())
if ((now > UtmpHead.GetUptime() + 120) or (now < UtmpHead.GetUptime() - 120)):
UtmpHead.SetUptime(now)
for n in range(Config.USHM_SIZE):
if (Utmp.IsActive(n) and Utmp.GetPid(n) != 0):
try:
os.kill(Utmp.GetPid(n), 0)
except OSError:
username = Utmp.GetUserId(n)
Utmp.Clear2(n+1)
User.User.RemoveMsgCount(username)
UtmpHead.SetReadOnly(1)
finally: # lock is important!
Utmp.Unlock(utmpfd)
# Log.info("New entry: %d" % pos)
return pos + 1;
@staticmethod
def IsActive(login):
return Utmp.GetInt(login, UserInfo.ACTIVE_POS)
@staticmethod
def GetUserId(login):
return Utmp.GetString(login, UserInfo.USERID_POS, UserInfo.USERID_SIZE)
@staticmethod
def GetUid(login):
return Utmp.GetInt(login, UserInfo.UID_POS)
@staticmethod
def GetPid(login):
return Utmp.GetInt(login, UserInfo.PID_POS)
@staticmethod
def GetInt(login, offset):
return struct.unpack('=i', Utmp.utmpshm.read(4, login * UserInfo.size + offset))[0]
@staticmethod
def GetString(login, offset, size):
return Util.CString(Utmp.utmpshm.read(size, login * UserInfo.size + offset))
@staticmethod
def SetUserInfo(pos, userinfo):
Utmp.utmpshm.write(userinfo.pack(), pos * UserInfo.size)
@staticmethod
def Clear(uent, useridx, pid):
lock = Utmp.Lock()
try:
UtmpHead.SetReadOnly(0)
if (((useridx == 0) or (Utmp.GetUid(uent - 1) == useridx)) and (pid == Utmp.GetPid(uent - 1))):
Utmp.Clear2(uent);
UtmpHead.SetReadOnly(1)
finally: # lock is important!
Utmp.Unlock(lock)
@staticmethod
def Clear2(uent):
userinfo = UserInfo(uent)
Log.debug("clearing user %s uid %d loginid %d" % (userinfo.userid, userinfo.uid, uent))
user = UCache.UCache.GetUserByUid(userinfo.uid)
UCache.UCache.DoAfterLogout(user, userinfo, uent, 0)
login = Login.Login(uent)
login.hash_remove()
login.list_remove()
if (userinfo.active):
UtmpHead.DecNumber()
Log.debug("zeroing utmp %d" % uent)
zeroinfo = UserInfo()
zeroinfo.SetIndex(uent)
zeroinfo.save()
@staticmethod
def RebuildList():
lock = Utmp.Lock()
try:
entries = []
hashes = {}
active = set()
for i in xrange(Config.USHM_SIZE):
userinfo = UserInfo(i + 1)
if userinfo.active == 1:
entries.append((i, userinfo.userid))
hash = Utmp.Hash(userinfo.userid)
hashes[hash] = hashes.get(hash, []) + [i]
active.add(i)
if entries == []:
Log.info("NO USER! RESET!")
Utmp.ResetUtmp(locked=True)
else:
cnt = len(entries)
Log.info("Rebuild Utmp with %d entries" % cnt)
entries.sort(key=lambda entry: entry[1])
UtmpHead.SetReadOnly(0)
# rebuild list
UtmpHead.SetListHead(entries[0][0] + 1)
for i in xrange(len(entries)):
pos = entries[i][0]
next = entries[(i + 1) % cnt][0]
prev = entries[(i - 1 + cnt) % cnt][0]
UtmpHead.SetListNext(pos, next + 1)
UtmpHead.SetListPrev(pos, prev + 1)
print pos, "prev", prev, "next", next
# rebuild hash
for hash in hashes:
cnt = len(hashes[hash])
UtmpHead.SetHashHead(hash, hashes[hash][0] + 1)
print "hash", hash, "head", hashes[hash][0]
for i in xrange(cnt):
pos = hashes[hash][i]
if i < cnt - 1:
next = hashes[hash][i + 1]
else:
next = -1
UtmpHead.SetNext(pos, next + 1)
print "next", pos, next
for i in xrange(Config.UTMP_HASHSIZE):
if i != 0 and UtmpHead.GetHashHead(i) != 0 and not i in hashes:
UtmpHead.SetHashHead(i, 0)
print "reset", i
# TODO: rebuild free list at hash[0]
#if min(active) > 0:
# UtmpHead.SetHashHead(0, 1)
UtmpHead.SetReadOnly(1)
finally:
Utmp.Unlock(lock)
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app/__init__.py | lwalter/flask-angular-starter | 13 | 32541 | <reponame>lwalter/flask-angular-starter
from app.factory import create_app
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sum/4-sum-II.py | windowssocket/py_leetcode | 3 | 32073 | # LTE using two pointers O(n**3)
class Solution(object):
def fourSumCount(self, A, B, C, D):
# corner case:
if len(A) == 0:
return 0
A.sort()
B.sort()
C.sort()
D.sort()
count = 0
for i in range(len(A)):
for j in range(len(B)):
k = 0
t = len(D) - 1
while 0 <= k < len(C) and 0 <= t < len(D):
if A[i] + B[j] + C[k] + D[t] > 0:
t -= 1
elif A[i] + B[j] + C[k] + D[t] < 0:
k += 1
else:
tmp1 = 1
tmp2 = 1
while 0 <= k < len(C) - 1 and C[k + 1] == C[k]:
k += 1
tmp1 += 1
while 1 <= t < len(D) and D[t - 1] == D[t]:
t -= 1
tmp2 += 1
count += tmp1 * tmp2
k += 1
t -= 1
return count
# hashmap Solution AC O(n**2)
class Solution(object):
def fourSumCount(self, A, B, C, D):
"""
:type A: List[int]
:type B: List[int]
:type C: List[int]
:type D: List[int]
:rtype: int
"""
hashtable = {}
count = 0
for a in A:
for b in B:
if a+b in hashtable:
hashtable[a+b] += 1
else:
hashtable[a+b] = 1
for c in C:
for d in D:
if -c-d in hashtable:
count += hashtable[-c-d]
return count | [
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app/app/migrations/0001_initial.py | poornachandrakashi/covid-cough-prediction | 3 | 34691 | # Generated by Django 2.1.1 on 2020-04-05 06:12
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Response',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=200)),
('location', models.CharField(max_length=200)),
('email', models.EmailField(max_length=200)),
('cough', models.FileField(upload_to='')),
('uploaded_at', models.DateTimeField(auto_now_add=True)),
],
),
]
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migrations/versions/4250dfa822a4_feed_countries.py | cuducos/findaconf | 9 | 147812 | """Feed: Countries
Revision ID: 4250dfa822a4
Revises: <PASSWORD>
Create Date: 2014-12-10 22:24:01.089932
"""
# revision identifiers, used by Alembic.
revision = '4250dfa822a4'
down_revision = '<PASSWORD>'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql import table, column
from csv import reader
from findaconf import app
from findaconf.models import Continent, Country
def upgrade():
# load countries iso3166.csv and build a dictionary
csv_path = app.config['BASEDIR'].child('migrations', 'csv', 'en')
csv_file = csv_path.child('iso3166.csv')
countries = dict()
with open(csv_file) as file_handler:
csv = list(reader(file_handler))
for c in csv:
countries[c[0]] = c[1]
# load countries-continents from country_continent.csv
csv_file = csv_path.child('country_continent.csv')
with open(csv_file) as file_handler:
csv = list(reader(file_handler))
country_continent = [{'country': c[0], 'continent': c[1]} for c in csv]
# loop and feed countries table
data = list()
for item in country_continent:
# get continent id
continent_guess = item['continent'].lower()
continent = Continent.query.filter_by(alpha2=continent_guess).first()
# include country
if continent is not None:
country_name = countries.get(item['country'], False)
if country_name:
data.append({'alpha2': item['country'].lower(),
'title': country_name,
'continent_id': continent.id})
# Create an ad-hoc table to use for the insert statement.
country_table = table('country',
column('alpha2', sa.String),
column('title', sa.String),
column('continent_id', sa.Integer),
)
# Insert data.
op.bulk_insert(country_table, data)
def downgrade():
op.execute(Country.__table__.delete())
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src/controllerarena/controllers/refVec.py | VerifiableRobotics/controller-arena | 0 | 29331 | # code for python reference dipole vector field controller
# these functions require stuff
#from mathFuns import *
from numpy import *
from math import *
class refVec:
# define the constructor
def __init__(self, q_0, controller_flag):
# Initialize controller state
self.phi_prev = None
self.q_prev = q_0
self.e_int_w = 0
self.e_int_u = 0
# set gains
self.k_p_u = 1 # u indicates it is an position gain. p indicates it is a proportional gain.
self.k_p_w = 3 # w indicates it is an angular gain. p indicates it is a proportional gain.
if controller_flag == 1: # PID
self.k_i_w = 1
self.k_i_u = 1
self.k_d = -1 # the derivative gain is only on the angle
elif controller_flag == 2: # PI
self.k_i_w = 1
self.k_i_u = 1
self.k_d = 0
elif controller_flag == 3: # PD
self.k_i_w = 0
self.k_i_u = 0
self.k_d = -1
else: # P
self.k_i_w = 0
self.k_i_u = 0
self.k_d = 0
def get_output(self, q_d, q, dt): # obtain reference vector field value
F = self.get_vector_field(q, q_d) # F is an column vector
## obtain control signal as a fcn of reference vector field value
u = self.get_control(q, q_d, F, dt)
return u
def get_vector_field(self, q, q_d):
# return type: numpy array
# note: unsure if this vector field was just an example from the paper!!
# compute vector field F
# unpack
# x = q[0][0]
# y = q[1][0]
# x_d = q_d[0][0]
# y_d = q_d[1][0]
# #
# # compute [taken from paper draft], where r = [1;0] and lambda = 3
# Fx = 2*(x - x_d)**2 - (y - y_d)**2
# Fy = 3*(x - x_d)*(y - y_d)
# F = array([[Fx],[Fy]])
lamb = 3
theta_d = q_d[2][0]
delta_p = q[0:2] - q_d[0:2] # location - location_desired
r = array([[cos(theta_d)],[sin(theta_d)]])
F = lamb*(dot(transpose(r), delta_p)[0][0])*delta_p - r*(dot(transpose(delta_p), delta_p)[0][0]) # should be col vector
print F
return F # col vector
def get_control(self, q, q_d, F, dt):
# I think that this control law is not a function of the vector field, and that it should
# work if F(q) changes
#
# compute control signal u
delta_p = q[0:2] - q_d[0:2] # location - location_desired
self.e_int_w += self.sub_angles(q[2][0],q_d[2][0])*dt # accumulate angular error
self.e_int_u += linalg.norm(delta_p)*dt # accumulate position error
theta = q[2][0]
# unpack gains
k_p_u = self.k_p_u
k_p_w = self.k_p_w
k_i_w = self.k_i_w
k_i_u = self.k_i_u
k_d = self.k_d
Fx = F[0][0]
Fy = F[1][0]
phi = atan2(Fy,Fx)
# backward finite difference for phidot
if self.phi_prev == None: # if this is the first pass through the controller, phi_dot = 0
self.phi_prev = phi
# end if
phi_dot = (phi-self.phi_prev)/dt
self.phi_prev = phi
q_dot = (q-self.q_prev)/dt
self.q_prev = q
# controller
v = -k_p_u*sign( dot(transpose(delta_p), array([[cos(theta)],[sin(theta)]]) )[0][0] )*tanh(linalg.norm(delta_p)**2) - k_i_u*self.e_int_u
w = -k_p_w*self.sub_angles(theta, phi) - k_i_w*self.e_int_w - k_d*phi_dot # k_d determines whether derivative term is used, k_i for i term
u = array([[v], [w]])
print u
return u
def update_state(self, q_d, q, dt):
# x_k+1 = 0
pass
def sub_angles(self, ang1, ang2):
return (ang1 - ang2 + pi)%(2*pi) - pi
# For future:
# pass r vector as parameter
# low pass filtering for derivatives (PD control?) [phidot]
# visual stuff
# global feedback plan is the ref vecf field
# controller is a function of vector field, but you can use a better controller to get better performance
| [
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download-package/PythonExercises/ex015.py | MCLeitao/Python-Exercises | 0 | 172205 | # Write a program that asks the number of kilometers a car has driven and the number of days it has been hired.
# Calculate the price to pay, knowing that the car costs US$ 60 per day and US$ 0.15 per km driven.
k = float(input('Enter how many kilometers the car has traveled: '))
d = float(input('Enter how many days the car has been rented: '))
t = (k * 0.15) + (d * 60)
print('The total rental of the car is {}US${:.2f}{}'.format('\033[1;31;40m', t, '\033[m'))
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vendor/packages/nose/unit_tests/test_importer.py | DESHRAJ/fjord | 2 | 1614605 | import os
import sys
import unittest
import nose.config
import nose.importer
class TestImporter(unittest.TestCase):
def setUp(self):
self.p = sys.path[:]
def tearDown(self):
sys.path = self.p[:]
def test_add_paths(self):
where = os.path.abspath(os.path.join(os.path.dirname(__file__),
'support'))
foo = os.path.join(where, 'foo')
foobar = os.path.join(foo, 'bar')
nose.importer.add_path(foobar)
assert not foobar in sys.path
assert not foo in sys.path
assert where in sys.path
assert sys.path[0] == where, "%s first should be %s" % (sys.path, where)
def test_import(self):
where = os.path.abspath(os.path.join(os.path.dirname(__file__),
'support'))
foo = os.path.join(where, 'foo')
foobar = os.path.join(foo, 'bar')
imp = nose.importer.Importer()
mod = imp.importFromDir(foobar, 'buz')
assert where in sys.path
# buz has an intra-package import that sets boodle
assert mod.boodle
def test_module_no_file(self):
where = os.path.abspath(os.path.join(os.path.dirname(__file__),
'support'))
foo = os.path.join(where, 'foo')
foobar = os.path.join(foo, 'bar')
# something that's not a real module and has no __file__
sys.modules['buz'] = 'Whatever'
imp = nose.importer.Importer()
mod = imp.importFromDir(foobar, 'buz')
assert where in sys.path
# buz has an intra-package import that sets boodle
assert mod.boodle
if __name__ == '__main__':
unittest.main()
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] |
pomade/assertions.py | saucelabs/pomade | 0 | 48968 | from pprint import pformat
import json
import time
import traceback
import sys
from config import SPIN_TIMEOUT
class FailTestException(Exception):
pass
def spinAssert(msg, test, timeout=None, args=[]):
timeout = timeout or SPIN_TIMEOUT
name = getattr(test, '__name__', 'unknown')
last_e = None
for i in xrange(timeout):
try:
if not test(*args):
raise AssertionError(msg)
if i > 0:
print msg, "success on %s (%s)" % (i + 1, name)
break
except FailTestException:
raise
except Exception, e:
if (str(e), type(e)) != (str(last_e), type(last_e)):
print msg, "(try: %s):" % (i + 1), str(e), type(e)
traceback.print_exc(file=sys.stdout)
last_e = e
time.sleep(1)
else:
print "%s fail (%s tries) (%s)" % (msg, i + 1, name)
raise AssertionError(msg)
class PomadeAssertions(object):
def _format(self, var):
formatted_var = pformat(var)
return formatted_var
def assert_equal(self, first, second, message=None):
self.assertEqual(first, second, message)
def assert_not_equal(self, first, second, message=None):
self.assertNotEqual(first, second, message)
def assert_is_valid_json(self, filename):
try:
with open(filename) as fo:
json.load(fo)
except ValueError, e:
self.fail(filename + " is not valid json (%s)" % e.message)
def assert_less(self, first, second, message=None):
message = (message if message
else "%s not less than %s" % (first, second))
self.assertTrue(first < second, message)
def assert_less_equal(self, first, second, message=None):
message = (message if message
else "%s not less than or equal to %s" % (first, second))
self.assertTrue(first <= second, message)
def assert_greater(self, first, second, message=None):
message = (message if message
else "%s not greater than %s" % (first, second))
self.assertTrue(first > second, message)
def assert_greater_equal(self, first, second, message=None):
message = (message if message
else "%s not greater than or equal to %s" % (first, second))
self.assertTrue(first >= second, message)
def assert_none(self, item, message=None):
message = (message if message
else "%s should have been None" % pformat(item))
self.assertTrue(item is None, message)
def assert_not_none(self, item, message=None):
message = (message if message
else "%s should not have been None" % pformat(item))
self.assertFalse(item is None, message)
def assert_excepts(self, exception_type, func, *args, **kwargs):
excepted = False
try:
val = func(*args, **kwargs)
print ("assert_excepts: Crap. That wasn't supposed to work."
" Here's what I got: ", pformat(val))
except exception_type, e:
print ("assert_excepts: Okay, %s failed the way it was supposed"
" to: %s" % (func, e))
excepted = True
self.assertTrue(excepted, "assert_excepts: calling %s didn't raise %s"
% (func, exception_type))
def assert_in(self, needle, haystack, message=None):
return self.assert_contains(haystack, needle, message)
def assert_not_in(self, needle, haystack, message=None):
return self.assert_not_contains(haystack, needle, message)
def assert_contains(self, haystack, needle, message=None):
displaystack = self._format(haystack)
message = (message if message
else "%s not found in %s" % (needle, displaystack))
its_in_there = False
try:
if needle in haystack:
its_in_there = True
except:
pass
try:
if not its_in_there and haystack in needle:
print "! HEY !" * 5
print "HEY! it looks like you called assert_contains backwards"
print "! HEY !" * 5
except:
pass
self.assertTrue(needle in haystack, message)
def assert_any(self, conditions, message=None):
message = (message if message
else "%s were all False" % pformat(conditions))
self.assertTrue(any(conditions), message)
def assert_not_any(self, conditions, message=None):
message = (message if message
else "%s was not all False" % pformat(conditions))
self.assertFalse(any(conditions), message)
def assert_not_contains(self, haystack, needle, message=None):
displaystack = self._format(haystack)
message = (message if message
else "%s not wanted but found in %s" % (needle, displaystack))
self.assertFalse(needle in haystack, message)
def assert_startswith(self, haystack, needle, message=None):
displaystack = self._format(haystack)
message = (message if message
else "%s should have been at the beginning of %s"
% (needle, displaystack))
self.assertTrue(haystack.startswith(needle), message)
def assert_endswith(self, haystack, needle, message=None):
displaystack = self._format(haystack)
message = (message if message
else "%s should have been at the end of %s"
% (needle, displaystack))
self.assertTrue(haystack.endswith(needle), message)
def assert_not_startswith(self, haystack, needle, message=None):
displaystack = self._format(haystack)
message = (message if message
else "%s should not have been at the beginning of %s"
% (needle, displaystack))
self.assertFalse(haystack.startswith(needle), message)
def assert_is(self, expected, actual, message=None):
message = message if message else "%s is not %s" % (expected, actual)
self.assertTrue(expected is actual)
def assert_is_not(self, expected, actual, message=None):
message = message if message else "%s is %s" % (expected, actual)
self.assertTrue(expected is not actual)
def spinAssert(self, *args, **kwargs):
return spinAssert(*args, **kwargs)
class BasicAssertions(object):
# PomadeAssertions depends on these basic assertions, which come with
# unittest.TestCase but we don't want to subclass that here. So let's
# just duplicate the functionality, sigh
def assertTrue(self, test, msg=None):
msg = msg or "%s was not true" % test
assert test is True
def assertEqual(self, obj1, obj2, msg=None):
msg = msg or "%s != %s" % (obj1, obj2)
assert obj1 == obj2, msg
def assertFalse(self, test, msg):
msg = msg or "%s was not false" % test
assert test is False, msg
def assertNotEqual(self, obj1, obj2, msg):
msg = msg or "%s == %s" % (obj1, obj2)
assert obj1 != obj2, msg | [
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exercise-05/programming_assignment/rbf.py | AleRiccardi/technical-neural-network-course | 0 | 115963 | import random
from abc import abstractmethod
import math
from sklearn.cluster import KMeans
import numpy as np
import matplotlib.pyplot as plt
def euclidian_distance(a, b):
"""
Calculating Euclidian distance between 2 vectors
:param a: 1st vector
:param b: 2nd vector
:return:
"""
assert len(a) == len(b)
d = 0
for feature in range(len(a)):
d += (a[feature] - b[feature]) ** 2
return d ** 0.5
class Network(object):
"""
Radial Basis Function network
"""
def __init__(self, num_rbf, epochs=50, seed=999):
"""
Initialize the network
"""
np.random.seed(seed)
self.X = None
self.y = None
self.num_rbf = num_rbf
self.errors_train = []
self.errors_val = []
self.rbf_layer = None
self.output_layer = None
self.epochs = epochs
def fit(self, X_train, y_train, X_val, y_val):
self.rbf_layer = RBFlayer(self.num_rbf, X.shape[1])
self.output_layer = OutLayer(self.num_rbf, y.shape[1])
self.rbf_layer.find_centers(X)
self.rbf_layer.find_sizes()
# loop per every epochs and pattern
for ep in range(1, self.epochs + 1):
errors_train = []
for pattern, teacher in zip(X_train, y_train):
# rbf layer
R_vect = self.rbf_layer.forward(pattern)
output = self.output_layer.forward(R_vect)
self.output_layer.adjust_weights(teacher)
loss = self.mean_squared_error(teacher, output)
errors_train.append(loss)
self.errors_train.append(sum(errors_train) / len(errors_train))
# validation
errors_val = []
for pattern, teacher in zip(X_val, y_val):
R_vect = self.rbf_layer.forward(pattern)
output = self.output_layer.forward(R_vect)
loss = self.mean_squared_error(teacher, output)
errors_val.append(loss)
self.errors_val.append(sum(errors_val) / len(errors_val))
print('Epoch ({})\t||\ttrain loss: {:.4f}\t||\tval loss: {:.4f}'.format(ep, self.errors_train[-1],
self.errors_val[-1]))
self.save_errors()
@staticmethod
def mean_squared_error(teacher, output):
error = np.sum((teacher - output) ** 2)
return error
def predict(self, X):
outputs = []
for pattern in X:
# forward computation
R_vect = self.rbf_layer.forward(pattern)
output = self.output_layer.forward(R_vect)
outputs.append(output)
return np.array(outputs)
def save_errors(self):
f = open('learning.curve', 'w')
print('#\tX\tY', file=f)
for x, y in enumerate(self.errors_val):
print('\t{}\t{}'.format(x, y), file=f)
f.close()
class RBFlayer:
def __init__(self, num_neurons, len_input, closest_percent=0.1):
self.centers = np.zeros((num_neurons, len_input))
self.sizes = np.zeros((num_neurons,))
self.num_neurons = num_neurons
self.distances_matrix = np.zeros((num_neurons, num_neurons))
# how many closest centers to consider for each center
# when computing its radius
self.closest_percent = closest_percent
def find_centers(self, all_inputs):
"""
Sets self.centers with centers found with K-means clustering algorithm
the number of centers is the number of neurons.
:param all_inputs:
:return:
"""
# find center vectors with Kmeans clustering method
kmeans = KMeans(n_clusters=self.num_neurons)
kmeans.fit(all_inputs)
self.centers = kmeans.cluster_centers_
def find_sizes(self):
# fill in distance matrix
for i in range(self.num_neurons):
for j in range(i + 1, self.num_neurons):
if i == j:
self.distances_matrix[i, j] = 0
else:
a = self.centers[i, :]
b = self.centers[j, :]
dist = euclidian_distance(a, b)
self.distances_matrix[i, j] = dist
self.distances_matrix[j, i] = dist
# set size for each center to the mean of the distances
# to 'closest_percent' of the closest centers
num_closest = math.ceil(self.num_neurons * self.closest_percent)
# sorting each row of the distance matrix
sorted_distances = np.sort(self.distances_matrix)
for i, c in enumerate(self.centers):
# and taking 'num_closest' distances starting from the second one
# because first is 0 distance between a center and itself
self.sizes[i] = np.mean(sorted_distances[i, 1:num_closest + 1])
def forward(self, X):
"""
calculate the output of the RBF layer
:param X: input pattern
:return:
"""
distances = []
# get distances from centers
for i in range(self.num_neurons):
distances.append(euclidian_distance(self.centers[i], X))
# apply the rest of the formula
distances = np.array([distances], dtype=float)
distances /= 2 * np.square(self.sizes)
distances = np.exp(-distances)
return distances
class OutLayer:
def __init__(self,
n_rbf,
n_outputs,
learning_rate=0.01):
self.net = None
self.out_rbf = None
self.output = None
self.sigma = None
# initialize weights randomly
self.weights = np.random.uniform(-.5, .5, size=(n_rbf, n_outputs))
self.learning_rate = learning_rate
def forward(self, R):
"""
Forward propagation.
:param X:
:return:
"""
self.out_rbf = R
self.output = np.dot(R, self.weights)
return self.output
def adjust_weights(self, teacher):
out_sub = (teacher - self.output)
# calculate weight changes with delta rule
delta = self.learning_rate * np.dot(self.out_rbf.T, out_sub)
# apply weight changes
self.weights += delta
def read_dat(name):
"""Read data from file.
"""
X = []
y = []
with open(name) as f:
for line in f:
if line.startswith('# P'):
# second line
# P=350 N=2 M=1
splits = line.split(' ')
N = int(splits[1][2:])
M = int(splits[2][2:])
continue
elif line[0] == '#':
continue
line = line.strip()
elements = line.split(' ')
if '' in elements:
elements = list(filter(''.__ne__, elements))
X.append(elements[:N])
y.append(elements[N:N + M])
X = np.array(X).astype(np.float)
y = np.array(y).astype(np.float)
return X, y
def train_test_split(X, y, split=0.75):
assert X.shape[0] == y.shape[0]
size = X.shape[0]
sep = int(split * size)
for i in range(size):
j = random.randint(0, size - 1)
x_tmp = X[i, :]
X[i, :] = X[j, :]
X[j, :] = x_tmp
y_tmp = y[i, :]
y[i, :] = y[j, :]
y[j, :] = y_tmp
return X[:sep, :], y[:sep, :], X[sep:, :], y[sep:, :]
if __name__ == "__main__":
# read dataset
X, y = read_dat('PA-B-train-04.dat')
# take 'split' percent of the data
# and further split it to train and validation samples
X_train, y_train, X_val, y_val = train_test_split(X, y, split=.8)
# initialize the network
net = Network(num_rbf=100, epochs=60, seed=7)
# train and validate each epoch
net.fit(X_train, y_train, X_val, y_val)
# test the network by predicting output from the unseen data
print('Test prediction:')
prediction = net.predict(X_val)
# print predicted and true values side bt side
for i, (y_pred, y_val) in enumerate(zip(prediction, y_val)):
print('Pattern ({}) || prediction: {:.5f}, actual value: {:.5f}'.format(i, y_pred[0, 0], y_val[0]))
# plot errors for training and validation
plt.plot(net.errors_train)
plt.plot(net.errors_val)
plt.ylabel('Loss')
plt.xlabel('Epochs')
plt.show()
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OverlayUFOs/Overlay UFOs.roboFontExt/lib/OverlayUFOs.py | connordavenport/fbOpenTools | 0 | 10383 | #coding=utf-8
from __future__ import division
"""
# OVERLAY UFOS
For anyone looking in here, sorry the code is so messy. This is a standalone version of a script with a lot of dependencies.
"""
import os
from AppKit import * #@PydevCodeAnalysisIgnore
from vanilla import * #@PydevCodeAnalysisIgnore
from mojo.drawingTools import *
from mojo.events import addObserver, removeObserver
from mojo.extensions import getExtensionDefault, setExtensionDefault, getExtensionDefaultColor, setExtensionDefaultColor
from mojo.UI import UpdateCurrentGlyphView
from fontTools.pens.transformPen import TransformPen
from defconAppKit.windows.baseWindow import BaseWindowController
import unicodedata
#from lib.tools.defaults import getDefaultColor
from lib.tools.drawing import strokePixelPath
from lib.UI.spaceCenter.glyphSequenceEditText import splitText
from builtins import chr
selectedSymbol = u'•'
def SmallTextListCell(editable=False):
cell = NSTextFieldCell.alloc().init()
size = NSSmallControlSize #NSMiniControlSize
cell.setControlSize_(size)
font = NSFont.systemFontOfSize_(NSFont.systemFontSizeForControlSize_(size))
cell.setFont_(font)
cell.setEditable_(editable)
return cell
class TX:
"""
An agnostic way to get a naked font.
"""
@classmethod
def naked(cls, f):
try:
return f.naked()
except:
return f
class Tool():
"""
The tool object manages the font list. This is a simplification.
"""
fonts = AllFonts()
def addObserver(self, target, method, action):
addObserver(target, method, action)
def removeObserver(self, target, method, action):
removeObserver(target, method, action)
def getCurrentFont(self):
return CurrentFont()
def getFonts(self):
u"""Answers the list of selected fonts, ordered by their path.
"""
return self.fonts
def appendToFonts(self, path):
f = OpenFont(path, showUI=False)
self.fonts.append(f)
def removeFromFonts(self, path):
for i, f in enumerate(self.fonts):
if f.path == path:
del self.fonts[i]
def getFontPaths(self):
return [f.path or str(f.info.familyName)+" "+str(f.info.styleName) for f in self.getFonts()]
def getFontLabel(self, path):
if path is None:
return None
if not path:
return 'Untitled'
name = path.split('/')[-1]
status = selectedSymbol
return status, path, name
def getFontLabels(self):
labels = {}
for path in self.getFontPaths():
if path:
label = self.getFontLabel(path)
name = label[-1]
else:
name = 'Untitled'
if not name in labels:
labels[name] = []
labels[name].append(label)
sortedLabels = []
for _, labelSet in sorted(labels.items()):
if len(labelSet) == 1: # There is only a single font with this name
sortedLabels.append(labelSet[0])
else: # Otherwise we'll have to construct new names to show the difference
for status, path, name in sorted(labelSet):
sortedLabels.append((status, path, '%s "%s"' % (name, '/'.join(path.split('/')[:-1]))))
return sortedLabels
class C:
"""
Some constants.
"""
C2 = 100
BUTTON_WIDTH = 80
STYLE_CHECKBOXSIZE = 'small'
STYLE_LABELSIZE = 'small'
STYLE_RADIOSIZE = 'small'
L = 22
LL = 25
class OverlayUFOs(BaseWindowController):
DEFAULTKEY = "com.fontbureau.overlayUFO"
DEFAULTKEY_FILLCOLOR = "%s.fillColor" %DEFAULTKEY
DEFAULTKEY_STROKECOLOR = "%s.strokeColor" %DEFAULTKEY
DEFAULTKEY_STROKE = "%s.stroke" %DEFAULTKEY
DEFAULTKEY_FILL = "%s.fill" %DEFAULTKEY
FALLBACK_FILLCOLOR = NSColor.colorWithCalibratedRed_green_blue_alpha_(.5, 0, .5, .1)
FALLBACK_STROKECOLOR = NSColor.colorWithCalibratedRed_green_blue_alpha_(.5, 0, .5, .5)
VERSION = 1.0
NAME = u'Overlay UFOs'
MANUAL = u"""In the current glyph window, this will present the view the same glyph from a separate
UFO or set of UFOs.<br/>
This does NOT import the UFO into a background layer. Instead, it renders a outline directly from the UFO into the glyph window view.
<ul>
<li>There is no need to import duplicate data into a background layer.</li>
<li>The source outline is always live; when changes are made to the source, they will automatically
appear in the current without re-importing.</li>
<li>The source font does not need to be opened with a UI.</li>
</ul>
<h3>DIALOG</h3>
<ul>
<li>A floating dialog is present to let you open and select source fonts, fill, stroke, color.</li>
<li>Source Fonts: The default source font list is self.getOpenFonts(). The refresh button will
return this list to self.getOpenFonts().</li>
<li>Adding Fonts: You can manually add fonts by selecting a UFO file.
The UFO file will open without an interface.</li>
<li>Removing Fonts: There are buttons for removing selected fonts and for clearing the source font list.</li>
</ul>
<h3>BUGS/IMPROVEMENTS</h3>
<ul>
<li>Known Issue: The source font is drawn on top of the current font, instead of behind it.
So, it is good to select a color with a low opacity.</li>
<li>Known Bug: If the glyph window for both source and current fonts are open, it is possible
to select and inadvertently edit the source outline in the current window. I don't know how to solve this.</li>
<li>Improvement?: Add options to scale the source font.</li>
<li>Improvement?: Set different colors, fill settings for each font?</li>
</ul>
"""
# Fixed width of the window.
VIEWMINSIZE = 400
VIEWSIZE = VIEWMINSIZE
VIEWMAXSIZE = VIEWMINSIZE
WINDOW_POSSIZE = (130, 20, VIEWSIZE, 260)
WINDOW_MINSIZE = (VIEWMINSIZE, 260)
WINDOW_MAXSIZE = (VIEWMAXSIZE, 260)
def getPathListDescriptor(self):
return [
dict(title='Status', key='status', cell=SmallTextListCell(editable=False), width=12, editable=False),
dict(title='Name', key='name', width=300, cell=SmallTextListCell(editable=False), editable=False),
dict(title='Path', key='path', width=0, editable=False),
]
################
# OBSERVERS AND UPDATERS
################
def fontSelectionChanged(self):
self.setSourceFonts()
def activateModule(self):
self.tool.addObserver(self, 'drawInactive', 'drawInactive')
self.tool.addObserver(self, 'drawBackground', 'drawBackground')
self.tool.addObserver(self, 'fontDidOpen', 'fontDidOpen')
self.tool.addObserver(self, 'fontWillClose', 'fontWillClose')
def deactivateModule(self):
removeObserver(self, 'drawBackground')
removeObserver(self, 'drawInactive')
removeObserver(self, 'fontDidOpen')
removeObserver(self, 'fontWillClose')
################
# CONTEXTS
################
def fontDidOpen(self, info):
font = info.get('font')
if font:
self.tool.fonts.append(font)
self.refreshCallback()
def fontWillClose(self, info):
font = info.get('font')
path = font.path
if path:
self.tool.removeFromFonts(path)
self.refreshCallback()
def __init__(self):
self.tool = Tool()
self.w = FloatingWindow((400, 200), "Overlay UFOs", minSize=(400, 200))
self.populateView()
self.getView().open()
def getView(self):
return self.w
def refreshCallback(self, sender=None):
"""
Update the font list.
"""
self.getView().fontList.set(self.getFontItems())
def resetCallback(self, sender=None):
"""
Resets the view to the currently opened fonts.
"""
self.tool.fonts = AllFonts()
self.getView().fontList.set(self.getFontItems())
def addCallback(self, sender=None):
"""
Open a font without UI and add it to the font list.
"""
f = OpenFont(None, showUI=False)
if f is None:
return
self.tool.appendToFonts(f.path)
self.refreshCallback()
def populateView(self):
"""
The UI
"""
self.fillColor = getExtensionDefaultColor(self.DEFAULTKEY_FILLCOLOR, self.FALLBACK_FILLCOLOR)
self.strokeColor = getExtensionDefaultColor(self.DEFAULTKEY_STROKECOLOR, self.FALLBACK_STROKECOLOR)
self.contextBefore = self.contextAfter = ''
# Populating the view can only happen after the view is attached to the window,
# or else the relative widths go wrong.
view = self.getView()
view.add = Button((-40, 3, 30, 22), '+', callback=self.addCallback)
view.reset = Button((-40, 30, 30, 22), chr(8634), callback=self.resetCallback)
# Flag to see if the selection list click is in progress. We are resetting the selection
# ourselves, using the list "buttons", but changing that selection will cause another
# list update, that should be ignored.
self._selectionChanging = False
# Indicate that we are a drawing module
self._canDraw = True
self.sources = []
x = y = 4
view.fontList = List((C.C2, y, 250, -65), self.getFontItems(),
selectionCallback=self.fontListCallback,
drawFocusRing=False,
enableDelete=False,
allowsMultipleSelection=False,
allowsEmptySelection=True,
drawHorizontalLines=True,
showColumnTitles=False,
columnDescriptions=self.getPathListDescriptor(),
rowHeight=16,
)
view.viewEnabled = CheckBox((x, y, C.BUTTON_WIDTH, 22), "Show",
callback=self.viewCallback, sizeStyle=C.STYLE_CHECKBOXSIZE,
value=True)
y += C.L
view.fill = CheckBox((x, y, 60, 22), "Fill", sizeStyle=C.STYLE_CHECKBOXSIZE,
#value=getExtensionDefault("%s.%s" %(self.DEFAULTKEY, "fill"), True),
value = True,
callback=self.fillCallback)
y += C.L
color = getExtensionDefaultColor(self.DEFAULTKEY_FILLCOLOR, self.FALLBACK_FILLCOLOR)
view.color = ColorWell((x, y, 60, 22),
color=color,
callback=self.colorCallback)
y += C.L + 5
view.stroke = CheckBox((x, y, 60, 22), "Stroke", sizeStyle=C.STYLE_CHECKBOXSIZE,
#value=getExtensionDefault("%s.%s" %(self.DEFAULTKEY, "stroke"), False),
value = False,
callback=self.strokeCallback)
y += C.LL
view.alignText = TextBox((x, y, 90, 50), 'Alignment', sizeStyle=C.STYLE_LABELSIZE)
y += C.L
view.align = RadioGroup((x, y, 90, 50), ['Left', 'Center', 'Right'], isVertical=True,
sizeStyle=C.STYLE_RADIOSIZE, callback=self.alignCallback)
view.align.set(0)
#view.contextLabel = TextBox((C.C2, -58, 90, 50), 'Contexts', sizeStyle=C.STYLE_LABELSIZE)
view.viewCurrent = CheckBox((C.C2, -60, 150, 22), "Always View Current", sizeStyle=C.STYLE_CHECKBOXSIZE,
value = False,
callback=self.contextEditCallback)
#view.contextUandlc = CheckBox((C.C2+170, -60, 85, 22), "Match Case", sizeStyle=C.STYLE_CHECKBOXSIZE,
# value = False,
# callback=self.contextEditCallback)
view.contextBefore = EditText((C.C2, -30, 85, 20), callback=self.contextEditCallback, continuous=True, sizeStyle="small", placeholder='Left Context')
view.contextCurrent = EditText((C.C2+95, -30, 60, 20), callback=self.contextCurrentEditCallback, continuous=True, sizeStyle="small")
view.contextAfter = EditText((C.C2+165, -30, 85, 20), callback=self.contextEditCallback, continuous=True, sizeStyle="small", placeholder='Right Context')
self.activateModule()
self.setUpBaseWindowBehavior()
def fontListCallback(self, sender):
u"""If there is a selection, toggle the status of these fonts."""
# Avoid recursive loop because of changing font selection
if not self._selectionChanging:
for selectedIndex in sender.getSelection():
item = sender.get()[selectedIndex]
if item['status']:
item['status'] = ''
else:
item['status'] = selectedSymbol
# If shift is held when pressing an entry in the font list,
# the non-selected fonts will swap with the current's state
if NSEvent.modifierFlags() & NSShiftKeyMask:
items = [sender.get()[i] for i in range(len(sender.get())) if i != selectedIndex]
for subItems in items:
if item['status'] == '':
subItems['status'] = selectedSymbol
else:
subItems['status'] = ''
self._selectionChanging = True
# Avoid recursive loop because of changing font selection
sender.setSelection([])
self._selectionChanging = False
self.updateView()
def canDraw(self):
return True
"""
There is an experimental feature that will change the case of the context characters based on the case of the current glyph. But I'm disabling that for now.
"""
#def isUpper(self, g):
# char = CharacterTX.glyph2Char(g)
# if len(char) > 1:
# char = char[0]
# if unicodedata.category(char) == 'Lu':
# return True
# return False
#def isLower(self, g):
# char = CharacterTX.glyph2Char(g)
# if len(char) > 1:
# char = char[0]
# if unicodedata.category(char) == 'Ll':
# return True
# return False
def getHiddenFont(self, path):
from builtins import str
for f in self.tool.getFonts():
if f.path == path:
return f
elif path == str(f.info.familyName)+" "+str(f.info.styleName):
return f
def drawBackground(self, info):
u"""Draw the background of defined glyphs and fonbts.
Scale is available as mouse.scale."""
view = self.getView()
if not view.viewEnabled.get():
return
fill = getExtensionDefault(self.DEFAULTKEY_FILL, True)
stroke = getExtensionDefault(self.DEFAULTKEY_STROKE, True)
fillcolor = getExtensionDefaultColor(self.DEFAULTKEY_FILLCOLOR, self.FALLBACK_FILLCOLOR)
glyph = info.get('glyph')
if glyph is not None:
current = glyph.getParent()
else:
current = self.tool.getCurrentFont()
if glyph is None or current is None:
return
align = self.getAlignment()
# Get the fonts from the list and see if they are selected.
sourceItems = self.getSourceFonts()
showFonts = []
for item in sourceItems:
if not item['status']:
continue
path = item['path']
font = self.getHiddenFont(path)
showFonts.append(font)
if view.viewCurrent.get() and current not in showFonts:
showFonts.append(current)
for font in showFonts:
self.fillColor.setFill()
self.strokeColor.setStroke()
contextBefore, contextCurrent, contextAfter = self.getContexts()
if font is not None:
contextBefore = splitText(contextBefore, TX.naked(font).unicodeData, TX.naked(font).groups)
contextBefore = [font[gname] for gname in contextBefore if gname in font.keys()]
contextAfter = splitText(contextAfter, TX.naked(font).unicodeData, TX.naked(font).groups)
contextAfter = [font[gname] for gname in contextAfter if gname in font.keys()]
contextCurrent = splitText(contextCurrent, TX.naked(font).unicodeData, TX.naked(font).groups)
if len(contextCurrent) > 0:
contextCurrent = [font[gname] for gname in [contextCurrent[0]] if gname in font.keys()]
if len(contextCurrent) > 0:
sourceGlyph = contextCurrent[0]
else:
sourceGlyph = None
elif glyph.name in font.keys():
sourceGlyph = font[glyph.name]
else:
sourceGlyph = None
"""
#There is an experimental feature that will change the case of the context characters based on the case of the current glyph. But I'm disabling that for now.
if view.contextUandlc.get():
caseTransform = None
if self.isUpper(glyph):
caseTransform = FontTX.unicodes.getUpperFromLower
elif self.isLower(glyph):
caseTransform = FontTX.unicodes.getLowerFromUpper
if caseTransform:
for i, g in enumerate(contextBefore):
newG = caseTransform(g)
if newG is not None:
contextBefore[i] = newG
newG = caseTransform(sourceGlyph)
if newG is not None:
sourceGlyph = newG
if caseTransform:
for i, g in enumerate(contextAfter):
newG = caseTransform(g)
if newG is not None:
contextAfter[i] = newG
"""
scale(current.info.unitsPerEm/float(font.info.unitsPerEm))
widthOffset = 0
if sourceGlyph is not None:
if align == 'center':
destCenter = float(glyph.width/2) / current.info.unitsPerEm
sourceCenter = float(sourceGlyph.width/2) / font.info.unitsPerEm
widthOffset = (destCenter-sourceCenter) * font.info.unitsPerEm
elif align == 'right':
widthOffset = ( ( glyph.width / glyph.getParent().info.unitsPerEm ) - (sourceGlyph.width / sourceGlyph.getParent().info.unitsPerEm ) ) * font.info.unitsPerEm
translate(widthOffset, 0)
previousGlyph = sourceGlyph
contextBefore.reverse()
totalWidth = 0
for i, cbGlyph in enumerate(contextBefore):
kernValue = 0
if previousGlyph is not None and previousGlyph.getParent() == cbGlyph.getParent():
# Uncomment to activate kerning. Requires FontTX.
#kernValue += FontTX.kerning.getValue((previousGlyph.name, cbGlyph.name), font.kerning, font.groups)
kernValue += 0
translate(-cbGlyph.width-kernValue, 0)
totalWidth += cbGlyph.width + kernValue
drawGlyphPath = TX.naked(cbGlyph).getRepresentation("defconAppKit.NSBezierPath")
if view.fill.get():
drawGlyphPath.fill()
if view.stroke.get():
strokePixelPath(drawGlyphPath)
previousGlyph = cbGlyph
translate(totalWidth, 0)
totalWidth = 0
contextCurrentAndAfter = [sourceGlyph]+contextAfter
for i, cbGlyph in enumerate(contextCurrentAndAfter):
if cbGlyph is None:
cbGlyph = sourceGlyph
nextGlyph = None
if i + 1 < len(contextCurrentAndAfter):
nextGlyph = contextCurrentAndAfter[i+1]
if (i == 0 and cbGlyph == glyph) or sourceGlyph is None:
pass
else:
drawGlyphPath = TX.naked(cbGlyph).getRepresentation("defconAppKit.NSBezierPath")
if view.fill.get():
drawGlyphPath.fill()
if view.stroke.get():
strokePixelPath(drawGlyphPath)
kernValue = 0
if cbGlyph is not None and nextGlyph is not None and nextGlyph.getParent() == cbGlyph.getParent():
#kernValue = FontTX.kerning.getValue((cbGlyph.name, nextGlyph.name), font.kerning, font.groups)
# Uncomment to activate kerning. Requires FontTX.
kernValue = 0
width = 0
if cbGlyph is not None:
width = cbGlyph.width
translate(width+kernValue, 0)
totalWidth += width + kernValue
previousGlyph = cbGlyph
translate(-totalWidth, 0)
translate(-widthOffset, 0)
scale(font.info.unitsPerEm/float(current.info.unitsPerEm))
#restore()
drawInactive = drawBackground
def viewCallback(self, sender):
self.updateView()
def getSourceFonts(self):
"""
Get the fonts in the list.
"""
view = self.getView()
return view.fontList.get()
def setSourceFonts(self):
u"""
Set the font list from the current set of open fonts.
"""
view = self.getView()
labels = []
currentSelection = []
for d in self.getSourceFonts():
if d['status']:
currentSelection.append(d['path'])
for status, path, name in self.tool.getFontLabels():
if path in currentSelection:
status = selectedSymbol
else:
status = ''
labels.append(dict(status=status, path=path, name=name))
view.fontList.set(labels)
def colorCallback(self, sender):
"""
Change the color.
"""
selectedColor = sender.get()
r = selectedColor.redComponent()
g = selectedColor.greenComponent()
b = selectedColor.blueComponent()
a = 1
strokeColor = NSColor.colorWithCalibratedRed_green_blue_alpha_(r, g, b, a)
setExtensionDefaultColor(self.DEFAULTKEY_FILLCOLOR, selectedColor)
setExtensionDefaultColor(self.DEFAULTKEY_STROKECOLOR, strokeColor)
self.fillColor = selectedColor
self.strokeColor = strokeColor
self.updateView()
def fillCallback(self, sender):
"""
Change the fill status.
"""
setExtensionDefault(self.DEFAULTKEY_FILL, sender.get())
self.updateView()
def strokeCallback(self, sender):
"""
Change the stroke status.
"""
setExtensionDefault(self.DEFAULTKEY_STROKE, sender.get())
self.updateView()
def alignCallback(self, sender):
"""
Change the alignment status.
"""
self.updateView()
def getAlignment(self):
"""
Get the alignment as a string.
"""
view = self.getView()
index = view.align.get()
if index == 0:
return 'left'
elif index == 1:
return 'center'
elif index == 2:
return 'right'
def updateView(self, sender=None):
UpdateCurrentGlyphView()
def windowCloseCallback(self, sender):
self.deactivateModule()
self.updateView()
BaseWindowController.windowCloseCallback(self, sender)
def getFontItems(self, update=False):
"""
Get all fonts in a way that can be set into a vanilla list.
"""
paths = set() # Set of all unique paths in the merges lists
itemsByName = {}
if update: # If update flag is set, then keep the existing selected fonts.
for item in self.getSourceFonts():
if item['status']:
itemsByName[item['name']] = item
currentStatuses = {}
if hasattr(self.getView(), 'fontList'):
for d in self.getSourceFonts():
currentStatuses[d['path']] = d['status']
for status, path, uniqueName in self.tool.getFontLabels():
if path in currentStatuses:
status = currentStatuses[path]
else:
status = selectedSymbol
if not uniqueName in itemsByName.keys():# If it is not already there, add this to the list
itemsByName[uniqueName] = dict(status=status, path=path, name=uniqueName)
fontList = []
for key, item in sorted(itemsByName.items()):
fontList.append(item)
return fontList
################
# CONTEXTS
################
def getContexts(self):
if not hasattr(self, 'contextBefore'):
self.contextBefore = ''
if not hasattr(self, 'contextAfter'):
self.contextAfter = ''
if not hasattr(self, 'contextCurrent'):
self.contextCurrent = None
return self.contextBefore, self.contextCurrent, self.contextAfter
def setContexts(self, contextBefore, contextCurrent, contextAfter):
self.contextBefore = contextBefore
self.contextCurrent = contextCurrent
self.contextAfter = contextAfter
def contextEditCallback(self, sender):
before = self.getView().contextBefore.get()
current = self.getView().contextCurrent.get() or None
after = self.getView().contextAfter.get()
self.setContexts(before, current, after)
self.updateView()
def contextCurrentEditCallback(self, sender):
#if sender.get():
#sender.set(sender.get()[0])
self.contextEditCallback(sender)
if __name__ == "__main__":
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] |
myy/accounts/admin.py | ramadevim/Travel-website | 0 | 34318 | from django.contrib import admin
# Register your models here.
from .models import Register
admin.site.register(Register) | [
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server/utils.py | caesuric/cardrpg-public | 1 | 119872 | import random
import struct
# from numba import jit
from constants import *
# @jit
def serialize_list(list):
return_list = []
for i in list:
if i!=None:
return_list.append(i.to_JSON())
else:
return_list.append(None)
return return_list
def serialize_char_list(list, main_char):
return_list = []
for i in list:
if i!=None and i==main_char:
return_list.append(i.to_JSON())
elif i!=None:
return_list.append(i.to_JSON_light())
else:
return_list.append(None)
return return_list
def serialize_char_list_full(list, main_char):
return_list = []
for i in list:
if i!=None and i==main_char:
return_list.append(i.to_JSON_first())
elif i!=None:
return_list.append(i.to_JSON_light_first())
else:
return_list.append(None)
return return_list
def serialize_char_list_to_binary(list, main_char):
data = struct.pack('!I',len(list))
for i in list:
if i!=None and i==main_char:
data += struct.pack('cc','F','F')
data += i.to_binary()
elif i!=None:
data += struct.pack('cc','T','F')
data += i.to_binary_light()
return data
def serialize_char_list_to_binary_full(list, main_char):
data = struct.pack('!I',len(list))
for i in list:
if i!=None and i==main_char:
data += struct.pack('cc','F','T')
data += i.to_binary_first()
elif i!=None:
data += struct.pack('cc','T','T')
data += i.to_binary_light_first()
return data
# @jit
def serialize_2d_boolean_list(list):
return_list = []
for i in list:
return_sub_list = []
for j in i:
if j:
return_sub_list.append('T')
else:
return_sub_list.append('F')
return_list.append(return_sub_list)
return return_list
neighbors_has_run = False
neighbors_answers = {}
# @jit
def neighbors(source,mob,game,char,step=tile_size):
if not neighbors_has_run:
run_neighbors(game, step=step)
x,y=source
return neighbors_answers[(x,y)]
# @jit
def run_neighbors(game, step=tile_size):
global neighbors_has_run
global neighbors_answers
for x in range(0,(tile_size*8)*4,step):
for y in range(0,(tile_size*8)*4,step):
value = []
value = neighbors_step(x+step,y,value,game)
value = neighbors_step(x-step,y,value,game)
value = neighbors_step(x,y+step,value,game)
value = neighbors_step(x,y-step,value,game)
neighbors_answers[(x,y)] = value
neighbors_has_run = True
# @jit
def classic_neighbors(source, mob, game, char, step=tile_size):
x,y=source
value = []
value = classic_neighbors_step(x+step,y,value,mob,game,char)
value = classic_neighbors_step(x-step,y,value,mob,game,char)
value = classic_neighbors_step(x,y+step,value,mob,game,char)
value = classic_neighbors_step(x,y-step,value,mob,game,char)
return value
# @jit
def neighbors_step(x,y,value,game):
if not game.is_wall(x,y):
if not game.is_door(x,y):
value.append((x,y))
return value
# @jit
def classic_neighbors_step(x,y,value,mob,game,char):
if not game.is_wall(x,y):
if not game.is_door(x,y):
if not game.is_collision_mobs_only(x,y,mob):
value.append((x,y))
return value
def neighbors_idle(source, mob, game, dest_x, dest_y, step=tile_size):
x,y=source
value = []
value = neighbors_idle_step(x+step,y,value,mob,game,dest_x,dest_y)
value = neighbors_idle_step(x-step,y,value,mob,game,dest_x,dest_y)
value = neighbors_idle_step(x,y+step,value,mob,game,dest_x,dest_y)
value = neighbors_idle_step(x,y-step,value,mob,game,dest_x,dest_y)
return value
def neighbors_idle_step(x,y,value,mob,game,dest_x,dest_y):
if not game.is_wall(x,y):
if not game.is_door(x,y):
if not game.is_collision_mobs_only(x,y,mob):
value.append((x,y))
return value
def neighbors_sound(source, game, step = tile_size):
x,y=source
value = []
value = neighbors_sound_step(x+step,y,value,game)
value = neighbors_sound_step(x-step,y,value,game)
value = neighbors_sound_step(x,y+step,value,game)
value = neighbors_sound_step(x,y-step,value,game)
return value
def neighbors_sound_step(x,y,value,game):
if not game.is_wall(x,y):
if not game.is_door(x,y):
value.append((x,y))
return value
# @jit
def monster_in_way(mob,game,x,y):
return game.is_collision_mobs_only(x,y,mob)
# @jit
def move_cost(src,dest):
x1,y1 = src
x2,y2 = dest
return abs(x1-x2)+abs(y1-y2)
# return max(abs(x1-x2),abs(y1-y2))
# @jit
def heuristic(a,b):
(x1,y1)=a
(x2,y2)=b
return abs(x1-x2)+abs(y1-y2)
# return max(abs(x1-x2),abs(y1-y2))
# @jit
def random_drop():
# roll = random.randint(1,48)
# return random_drop_table[roll]
return random.randint(0,10)
# random_drop_table = [0,0,0,0,0,0,0,0,1,1,1,2,3,4,5,6,6,6,7,8,8,8,8,8,8,8,8,8,8,8,8,8,8,9,10,11,12,13,13,13,13,13,13,13,14,14,14,15,16]
def set_up_empty_2d_array(length,filler=''):
value = []
for x in range(length):
column = []
for y in range(length):
column.append(filler)
value.append(column)
return value
# @jit
def count_table_items(table):
count = 0
for element in table:
if element:
count+=int(element)
return count
# @jit
def humanize_time(time):
seconds = int(time/60)
decimal = time-(seconds*60)
decimal = float(decimal) / float(60)
time = float(seconds) + decimal
return "%.2f" % time
def tiles_to_binary(tiles):
data = struct.pack('!I',len(tiles)/3)
i = 0
while i<len(tiles):
data += struct.pack('!IIc',tiles[i],tiles[i+1],str(tiles[i+2]))
i+=3
return data
def sight_to_binary(sight):
data = struct.pack('!I',len(sight)/3)
i = 0
while i<len(sight):
data += struct.pack('!IIc',sight[i],sight[i+1],boolean_to_char(sight[i+2]))
i+=3
return data
def effects_to_binary(effects):
data = struct.pack('!I',len(effects))
for item in effects:
data += struct.pack('!H',item)
return data
def effects_duration_to_binary(durations):
data = struct.pack('!I',len(durations))
for item in durations:
data += struct.pack('!I',item)
return data
def string_array_to_binary(array):
data = struct.pack('!I',len(array))
for item in array:
data += struct.pack('15s',item)
return data
def animations_to_binary(animations):
data = struct.pack('!I',len(animations))
for item in animations:
items = item.split(',')
data += struct.pack('!IIII7s',int(items[0]),int(items[1]),int(items[2]),int(items[3]),items[4])
return data
def serialize_list_as_binary(items):
data = struct.pack('!I',len(items))
for item in items:
data += item.to_binary()
return data
def unsigned_integer_array_to_binary(array):
data = struct.pack('!I',len(array))
for item in array:
data += struct.pack('!I',item)
return data
def boolean_array_to_binary(array):
data = struct.pack('!I',len(array))
for item in array:
data += struct.pack('c',boolean_to_char(item))
return data
def boolean_to_char(value):
if value:
return 'T'
return 'F'
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2
] |
kopf/reactor/callbacks.py | pawelkopka/kopf | 0 | 175815 | """
Callback signatures for typing.
Since these signatures contain a lot of copy-pasted kwargs and are
not so important for the codebase, they are moved to this separate module.
"""
import logging
from typing import NewType, Any, Union, Optional
from typing_extensions import Protocol
from kopf.structs import bodies
from kopf.structs import diffs
from kopf.structs import patches
# A specialised type to highlight the purpose or origin of the data of type Any,
# to not be mixed with other arbitrary Any values, where it is indeed "any".
HandlerResult = NewType('HandlerResult', object)
class ActivityHandlerFn(Protocol):
def __call__( # lgtm[py/similar-function]
self,
*args: Any,
logger: Union[logging.Logger, logging.LoggerAdapter],
**kwargs: Any,
) -> Optional[HandlerResult]: ...
class ResourceHandlerFn(Protocol):
def __call__( # lgtm[py/similar-function]
self,
*args: Any,
type: str,
event: Union[str, bodies.Event],
body: bodies.Body,
meta: bodies.Meta,
spec: bodies.Spec,
status: bodies.Status,
uid: str,
name: str,
namespace: Optional[str],
patch: patches.Patch,
logger: Union[logging.Logger, logging.LoggerAdapter],
diff: diffs.Diff,
old: Optional[Union[bodies.BodyEssence, Any]], # "Any" is for field-handlers.
new: Optional[Union[bodies.BodyEssence, Any]], # "Any" is for field-handlers.
**kwargs: Any,
) -> Optional[HandlerResult]: ...
class WhenHandlerFn(Protocol):
def __call__( # lgtm[py/similar-function]
self,
*args: Any,
type: str,
event: Union[str, bodies.Event],
body: bodies.Body,
meta: bodies.Meta,
spec: bodies.Spec,
status: bodies.Status,
uid: str,
name: str,
namespace: Optional[str],
patch: patches.Patch,
logger: Union[logging.Logger, logging.LoggerAdapter],
diff: diffs.Diff,
old: Optional[Union[bodies.BodyEssence, Any]], # "Any" is for field-handlers.
new: Optional[Union[bodies.BodyEssence, Any]], # "Any" is for field-handlers.
**kwargs: Any,
) -> bool: ...
| [
1,
9995,
13,
10717,
1804,
3698,
363,
19229,
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shipane_sdk/transaction.py | awfssv/ShiPanE-Python-SDK | 1 | 2295 | # -*- coding: utf-8 -*-
class Transaction(object):
def __init__(self, **kwargs):
self._completed_at = kwargs.get('completed_at')
self._type = kwargs.get('type')
self._symbol = kwargs.get('symbol')
self._price = kwargs.get('price')
self._amount = kwargs.get('amount')
def __eq__(self, other):
if self.completed_at != other.completed_at:
return False
if self.type != other.type:
return False
if self.symbol != other.symbol:
return False
if self.price != other.price:
return False
if self.amount != other.amount:
return False
return True
def get_cn_type(self):
return u'买入' if self.type == 'BUY' else u'卖出'
@property
def completed_at(self):
return self._completed_at
@completed_at.setter
def completed_at(self, value):
self._completed_at = value
@property
def type(self):
return self._type
@type.setter
def type(self, value):
self._type = value
@property
def symbol(self):
return self._symbol
@symbol.setter
def symbol(self, value):
self._symbol = value
@property
def price(self):
return self._price
@price.setter
def price(self, value):
self._price = value
@property
def amount(self):
return self._amount
@amount.setter
def amount(self, value):
self._amount = value
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bench/__init__.py | ThePhantomTiger/BenchmarkPC | 1 | 97995 | from flask import Flask, render_template
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
import os
app = Flask(__name__)
app.debug = True
#Database
POSTGRES = {
'user': 'postgres',
'pw': 'test',
'db': 'benchmarkpc',
'host': 'localhost',
'port': '5432',
}
# app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://%(user)s:%(pw)s@%(host)s:%(port)s/%(db)s' % POSTGRES
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ['DATABASE_URL']
app.config['SECRET_KEY'] = '<KEY>'
app.config['UPLOAD_FOLDER'] = os.path.join('bench', 'static', 'Images')
db = SQLAlchemy(app)
migrate = Migrate(app, db)
from flask_wtf.csrf import CsrfProtect
from flask_login import LoginManager
csrf = CsrfProtect(app)
login_manager = LoginManager()
login_manager.init_app(app)
from bench import routes, models | [
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2
] |
entity/cards/SWL_26H/LETL_236.py | x014/lushi_script | 102 | 199144 | <reponame>x014/lushi_script
# -*- coding: utf-8 -*-
from hearthstone.entities import Entity
from entity.spell_entity import SpellEntity
class LETL_236(SpellEntity):
"""
火焰践踏5
对所有敌人造成$6点伤害。每有一个尚未行动的敌人，重复一次。
"""
def __init__(self, entity: Entity):
super().__init__(entity)
self.damage = 6
self.range = 7
def play(self, game, hero, target):
power = game.get_spell_power(self.spell_school, hero.own)
# 获取技能列表
action_list = game.get_action_list(not hero.own)
action_list.sort()
# self.cost 这个技能的速度,
cnt = 0
for action in action_list:
if action.spell.cost >= self.cost:
# 假设同速下，我方先使用技能
cnt += 1
hero_list = game.get_hero_list(not hero.own())
for i in range(cnt):
for h in hero_list:
h.got_damage(game, (self.damage + power) * self.damage_advantage[self.lettuce_role][h.lettuce_role])
| [
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29918,
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] |
core/decorators/multiprocessing_decorator.py | daniele21/Stock_Analysis | 0 | 179841 | <reponame>daniele21/Stock_Analysis
from multiprocessing import Process
import logging
logger = logging.getLogger(__name__)
def multi_process_run(func):
def wrapper(*args, **kwargs):
"""
Args:
fn: function to be run into multiprocess way
args: tuple of args --> (arg1. arg2, ...)
Returns:
"""
proc = Process(target=func, args=args, kwargs=kwargs)
proc.start()
proc.join()
exit_code = proc.exitcode
return
return wrapper
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] |
EnvironmentVariables.py | Phillipdk/PlayGround | 0 | 197829 | <filename>EnvironmentVariables.py
"""
This test is to test the API call and see if it works. It is an
integration test.
"""
import os
TemperatureVector = [120, 110, 130, 150] # Temperture [celsius]
TimeVectorHr = [0, 1, 2, 3 ] # Time [Hr]
client_id = os.environ['CLIENT_ID']
client_secret = os.environ['CLIENT_SECRET']
componentId = os.environ['COMPONENT_ID']
print(client_id)
print(client_secret)
print(componentId) | [
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] |
src/randonet/pytorch/transformer.py | ahgamut/randonet | 0 | 27917 |
from randonet.generator.param import Param, IntParam, FloatParam, BinaryParam, ChoiceParam, TupleParam
from randonet.generator.unit import Unit, Factory as _Factory
from randonet.generator.conv import ConvFactory, ConvTransposeFactory
from collections import namedtuple
class TransformerEncoder(_Factory):
def __init__(self, **kwargs):
_Factory.__init__(self)
self.template_fn = namedtuple("TransformerEncoder", ['encoder_layer', 'num_layers', 'norm'])
self.params = self.template_fn(
encoder_layer=Param(name="encoder_layer", default=None),
num_layers=Param(name="num_layers", default=None),
norm=Param(name="norm", default=None),
)
for k,v in kwargs.items():
getattr(self.params, k).val = v
class TransformerDecoder(_Factory):
def __init__(self, **kwargs):
_Factory.__init__(self)
self.template_fn = namedtuple("TransformerDecoder", ['decoder_layer', 'num_layers', 'norm'])
self.params = self.template_fn(
decoder_layer=Param(name="decoder_layer", default=None),
num_layers=Param(name="num_layers", default=None),
norm=Param(name="norm", default=None),
)
for k,v in kwargs.items():
getattr(self.params, k).val = v
class TransformerEncoderLayer(_Factory):
def __init__(self, **kwargs):
_Factory.__init__(self)
self.template_fn = namedtuple("TransformerEncoderLayer", ['d_model', 'nhead', 'dim_feedforward', 'dropout', 'activation'])
self.params = self.template_fn(
d_model=Param(name="d_model", default=None),
nhead=Param(name="nhead", default=None),
dim_feedforward=IntParam(name="dim_feedforward", default=2048),
dropout=FloatParam(name="dropout", default=0.1),
activation=ChoiceParam(name="activation", choices=("relu",), cprobs=(1,), default="relu"),
)
for k,v in kwargs.items():
getattr(self.params, k).val = v
class TransformerDecoderLayer(_Factory):
def __init__(self, **kwargs):
_Factory.__init__(self)
self.template_fn = namedtuple("TransformerDecoderLayer", ['d_model', 'nhead', 'dim_feedforward', 'dropout', 'activation'])
self.params = self.template_fn(
d_model=Param(name="d_model", default=None),
nhead=Param(name="nhead", default=None),
dim_feedforward=IntParam(name="dim_feedforward", default=2048),
dropout=FloatParam(name="dropout", default=0.1),
activation=ChoiceParam(name="activation", choices=("relu",), cprobs=(1,), default="relu"),
)
for k,v in kwargs.items():
getattr(self.params, k).val = v
class Transformer(_Factory):
def __init__(self, **kwargs):
_Factory.__init__(self)
self.template_fn = namedtuple("Transformer", ['d_model', 'nhead', 'num_encoder_layers', 'num_decoder_layers', 'dim_feedforward', 'dropout', 'activation', 'custom_encoder', 'custom_decoder'])
self.params = self.template_fn(
d_model=IntParam(name="d_model", default=512),
nhead=IntParam(name="nhead", default=8),
num_encoder_layers=IntParam(name="num_encoder_layers", default=6),
num_decoder_layers=IntParam(name="num_decoder_layers", default=6),
dim_feedforward=IntParam(name="dim_feedforward", default=2048),
dropout=FloatParam(name="dropout", default=0.1),
activation=ChoiceParam(name="activation", choices=("relu",), cprobs=(1,), default="relu"),
custom_encoder=Param(name="custom_encoder", default=None),
custom_decoder=Param(name="custom_decoder", default=None),
)
for k,v in kwargs.items():
getattr(self.params, k).val = v
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] |
Loan_Approval_Analysis/code.py | justsidd/greyatom-python-for-data-science | 0 | 141537 | <filename>Loan_Approval_Analysis/code.py
# --------------
import pandas as pd
import numpy as np
from scipy.stats import mode
bank=pd.read_csv(path)
categorical_var=bank.select_dtypes(include = 'object')
numerical_var=bank.select_dtypes(include = 'number')
bank.drop('Loan_ID',axis=1,inplace=True)
banks=bank
bank_mode=banks.mode().iloc[0]
banks.fillna(bank_mode,inplace=True)
avg_loan_amount=bank.pivot_table(index=['Gender','Married','Self_Employed'],values='LoanAmount',aggfunc='mean')
loan_approved_se = len(banks[(banks.Self_Employed=='Yes') & (banks.Loan_Status=='Y')])
loan_approved_nse = len(banks[(banks.Self_Employed=='No') & (banks.Loan_Status=='Y')])
percentage_se = float(loan_approved_se*100)/len(banks['Self_Employed'])
percentage_nse = float(loan_approved_nse*100)/len(banks['Self_Employed'])
loan_term = banks['Loan_Amount_Term'].apply(lambda x: int(x)/12 )
big_loan_term=len(loan_term[loan_term>=25])
loan_groupby = banks.groupby('Loan_Status')
loan_groupby = loan_groupby['ApplicantIncome','Credit_History']
mean_values = loan_groupby.mean()
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app/domain/rules.py | patromi/tracardi | 0 | 1602707 | import logging
from app.event_server.service.persistence_service import PersistenceService
from app.service.storage.elastic_storage import ElasticStorage
rules_logger = logging.getLogger('Rules')
class Rules(list):
@staticmethod
def storage() -> PersistenceService:
return PersistenceService(ElasticStorage(index_key="rule"))
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hackerrank/weekofcode23/commuting-strings.py | mikhail-dvorkin/competitions | 7 | 181367 | def kmp(s):
p = [-1]
k = -1
for c in s:
while k >= 0 and s[k] != c:
k = p[k]
k += 1
p.append(k)
return p
def period(s):
k = len(s) - kmp(s)[-1]
if len(s) % k == 0:
return k
return len(s)
s = input()
m = int(input())
p = period(s)
print(m // p % (10**9 + 7))
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src/screenlogger.py | swbooking/RobotMaria | 0 | 22361 | <gh_stars>0
class ScreenLogger:
def __init__(self, loghandler=None, verbose = True):
self.LogMessage = None
self.LogHandler = loghandler
self.Verbose = verbose
return
def Log(self, message):
if self.LogMessage != message:
self.LogMessage = message
if self.LogHandler != None:
self.LogHandler(self.LogMessage)
if self.Verbose:
print self.LogMessage
return
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boto3_type_annotations_with_docs/boto3_type_annotations/sns/paginator.py | cowboygneox/boto3_type_annotations | 119 | 193154 | from typing import Dict
from botocore.paginate import Paginator
class ListEndpointsByPlatformApplication(Paginator):
def paginate(self, PlatformApplicationArn: str, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`SNS.Client.list_endpoints_by_platform_application`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sns-2010-03-31/ListEndpointsByPlatformApplication>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PlatformApplicationArn='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Endpoints': [
{
'EndpointArn': 'string',
'Attributes': {
'string': 'string'
}
},
],
}
**Response Structure**
- *(dict) --*
Response for ListEndpointsByPlatformApplication action.
- **Endpoints** *(list) --*
Endpoints returned for ListEndpointsByPlatformApplication action.
- *(dict) --*
Endpoint for mobile app and device.
- **EndpointArn** *(string) --*
EndpointArn for mobile app and device.
- **Attributes** *(dict) --*
Attributes for endpoint.
- *(string) --*
- *(string) --*
:type PlatformApplicationArn: string
:param PlatformApplicationArn: **[REQUIRED]**
PlatformApplicationArn for ListEndpointsByPlatformApplicationInput action.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class ListPhoneNumbersOptedOut(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`SNS.Client.list_phone_numbers_opted_out`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sns-2010-03-31/ListPhoneNumbersOptedOut>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'phoneNumbers': [
'string',
],
'NextToken': 'string'
}
**Response Structure**
- *(dict) --*
The response from the ``ListPhoneNumbersOptedOut`` action.
- **phoneNumbers** *(list) --*
A list of phone numbers that are opted out of receiving SMS messages. The list is paginated, and each page can contain up to 100 phone numbers.
- *(string) --*
- **NextToken** *(string) --*
A token to resume pagination.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class ListPlatformApplications(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`SNS.Client.list_platform_applications`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sns-2010-03-31/ListPlatformApplications>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'PlatformApplications': [
{
'PlatformApplicationArn': 'string',
'Attributes': {
'string': 'string'
}
},
],
}
**Response Structure**
- *(dict) --*
Response for ListPlatformApplications action.
- **PlatformApplications** *(list) --*
Platform applications returned when calling ListPlatformApplications action.
- *(dict) --*
Platform application object.
- **PlatformApplicationArn** *(string) --*
PlatformApplicationArn for platform application object.
- **Attributes** *(dict) --*
Attributes for platform application object.
- *(string) --*
- *(string) --*
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class ListSubscriptions(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`SNS.Client.list_subscriptions`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sns-2010-03-31/ListSubscriptions>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Subscriptions': [
{
'SubscriptionArn': 'string',
'Owner': 'string',
'Protocol': 'string',
'Endpoint': 'string',
'TopicArn': 'string'
},
],
}
**Response Structure**
- *(dict) --*
Response for ListSubscriptions action
- **Subscriptions** *(list) --*
A list of subscriptions.
- *(dict) --*
A wrapper type for the attributes of an Amazon SNS subscription.
- **SubscriptionArn** *(string) --*
The subscription's ARN.
- **Owner** *(string) --*
The subscription's owner.
- **Protocol** *(string) --*
The subscription's protocol.
- **Endpoint** *(string) --*
The subscription's endpoint (format depends on the protocol).
- **TopicArn** *(string) --*
The ARN of the subscription's topic.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class ListSubscriptionsByTopic(Paginator):
def paginate(self, TopicArn: str, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`SNS.Client.list_subscriptions_by_topic`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sns-2010-03-31/ListSubscriptionsByTopic>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
TopicArn='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Subscriptions': [
{
'SubscriptionArn': 'string',
'Owner': 'string',
'Protocol': 'string',
'Endpoint': 'string',
'TopicArn': 'string'
},
],
}
**Response Structure**
- *(dict) --*
Response for ListSubscriptionsByTopic action.
- **Subscriptions** *(list) --*
A list of subscriptions.
- *(dict) --*
A wrapper type for the attributes of an Amazon SNS subscription.
- **SubscriptionArn** *(string) --*
The subscription's ARN.
- **Owner** *(string) --*
The subscription's owner.
- **Protocol** *(string) --*
The subscription's protocol.
- **Endpoint** *(string) --*
The subscription's endpoint (format depends on the protocol).
- **TopicArn** *(string) --*
The ARN of the subscription's topic.
:type TopicArn: string
:param TopicArn: **[REQUIRED]**
The ARN of the topic for which you wish to find subscriptions.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
class ListTopics(Paginator):
def paginate(self, PaginationConfig: Dict = None) -> Dict:
"""
Creates an iterator that will paginate through responses from :py:meth:`SNS.Client.list_topics`.
See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sns-2010-03-31/ListTopics>`_
**Request Syntax**
::
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
**Response Syntax**
::
{
'Topics': [
{
'TopicArn': 'string'
},
],
}
**Response Structure**
- *(dict) --*
Response for ListTopics action.
- **Topics** *(list) --*
A list of topic ARNs.
- *(dict) --*
A wrapper type for the topic's Amazon Resource Name (ARN). To retrieve a topic's attributes, use ``GetTopicAttributes`` .
- **TopicArn** *(string) --*
The topic's ARN.
:type PaginationConfig: dict
:param PaginationConfig:
A dictionary that provides parameters to control pagination.
- **MaxItems** *(integer) --*
The total number of items to return. If the total number of items available is more than the value specified in max-items then a ``NextToken`` will be provided in the output that you can use to resume pagination.
- **PageSize** *(integer) --*
The size of each page.
- **StartingToken** *(string) --*
A token to specify where to start paginating. This is the ``NextToken`` from a previous response.
:rtype: dict
:returns:
"""
pass
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4032,
29889,
1761,
29918,
12120,
29918,
932,
5795,
1412,
13,
4706,
2823,
884,
29901,
421,
29909,
7811,
3450,
10854,
362,
529,
991,
597,
2640,
29889,
10467,
29889,
17260,
29889,
510,
29914,
27102,
29914,
3609,
8787,
29914,
29879,
1983,
29899,
29906,
29900,
29896,
29900,
29899,
29900,
29941,
29899,
29941,
29896,
29914,
1293,
21889,
2052,
5795,
13885,
29918,
13,
308,
13,
4706,
3579,
3089,
21306,
1068,
13,
4706,
4761,
13,
3986,
2933,
29918,
17609,
353,
10203,
262,
1061,
29889,
13573,
16976,
29898,
13,
795,
349,
351,
3381,
3991,
3790,
13,
462,
29871,
525,
7976,
6913,
2396,
29871,
29896,
29906,
29941,
29892,
13,
462,
29871,
525,
5074,
3505,
2396,
29871,
29896,
29906,
29941,
29892,
13,
462,
29871,
525,
4763,
292,
6066,
2396,
525,
1807,
29915,
13,
795,
500,
13,
3986,
1723,
13,
308,
13,
4706,
3579,
5103,
21306,
1068,
13,
4706,
4761,
13,
9651,
426,
13,
18884,
525,
21889,
2052,
5795,
2396,
518,
13,
462,
1678,
426,
13,
462,
4706,
525,
21889,
4873,
1433,
29876,
2396,
525,
1807,
742,
13,
462,
4706,
525,
15801,
2396,
426,
13,
462,
9651,
525,
1807,
2396,
525,
1807,
29915,
13,
462,
4706,
500,
13,
462,
1678,
2981,
13,
18884,
21251,
13,
9651,
500,
13,
308,
13,
4706,
3579,
5103,
3767,
12425,
1068,
13,
3986,
448,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
9651,
13291,
363,
2391,
21889,
2052,
5795,
3158,
29889,
13,
9651,
448,
3579,
21889,
2052,
5795,
1068,
334,
29898,
1761,
29897,
1192,
29930,
29871,
13,
795,
28096,
8324,
4133,
746,
5432,
2391,
21889,
2052,
5795,
3158,
29889,
13,
795,
448,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
18884,
28096,
2280,
1203,
29889,
13,
18884,
448,
3579,
21889,
4873,
1433,
29876,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
28096,
4873,
1433,
29876,
363,
7481,
2280,
1203,
29889,
13,
18884,
448,
3579,
15801,
1068,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
462,
29871,
6212,
5026,
363,
7481,
2280,
1203,
29889,
13,
462,
29871,
448,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
1678,
448,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
4706,
584,
1853,
349,
351,
3381,
3991,
29901,
9657,
13,
4706,
584,
3207,
349,
351,
3381,
3991,
29901,
13,
3986,
319,
8600,
393,
8128,
4128,
304,
2761,
10203,
3381,
29889,
13,
3986,
448,
3579,
7976,
6913,
1068,
334,
29898,
16031,
29897,
1192,
29930,
13,
9651,
450,
3001,
1353,
310,
4452,
304,
736,
29889,
960,
278,
3001,
1353,
310,
4452,
3625,
338,
901,
1135,
278,
995,
6790,
297,
4236,
29899,
7076,
769,
263,
4954,
9190,
6066,
16159,
674,
367,
4944,
297,
278,
1962,
393,
366,
508,
671,
304,
620,
2017,
10203,
3381,
29889,
13,
3986,
448,
3579,
5074,
3505,
1068,
334,
29898,
16031,
29897,
1192,
29930,
13,
9651,
450,
2159,
310,
1269,
1813,
29889,
13,
3986,
448,
3579,
4763,
292,
6066,
1068,
334,
29898,
1807,
29897,
1192,
29930,
13,
9651,
319,
5993,
304,
6084,
988,
304,
1369,
10203,
262,
1218,
29889,
910,
338,
278,
4954,
9190,
6066,
16159,
515,
263,
3517,
2933,
29889,
13,
4706,
584,
29878,
1853,
29901,
9657,
13,
4706,
584,
18280,
29901,
13,
4706,
9995,
13,
4706,
1209,
13,
13,
13,
1990,
2391,
4035,
7588,
1980,
29898,
29925,
26584,
1061,
1125,
13,
1678,
822,
10203,
16976,
29898,
1311,
29892,
349,
351,
3381,
3991,
29901,
360,
919,
353,
6213,
29897,
1599,
360,
919,
29901,
13,
4706,
9995,
13,
4706,
6760,
1078,
385,
20380,
393,
674,
10203,
16976,
1549,
20890,
515,
584,
2272,
29901,
29885,
621,
18078,
29903,
3059,
29889,
4032,
29889,
1761,
29918,
1491,
7588,
1980,
1412,
13,
4706,
2823,
884,
29901,
421,
29909,
7811,
3450,
10854,
362,
529,
991,
597,
2640,
29889,
10467,
29889,
17260,
29889,
510,
29914,
27102,
29914,
3609,
8787,
29914,
29879,
1983,
29899,
29906,
29900,
29896,
29900,
29899,
29900,
29941,
29899,
29941,
29896,
29914,
1293,
4035,
7588,
1980,
13885,
29918,
13,
308,
13,
4706,
3579,
3089,
21306,
1068,
13,
4706,
4761,
13,
3986,
2933,
29918,
17609,
353,
10203,
262,
1061,
29889,
13573,
16976,
29898,
13,
795,
349,
351,
3381,
3991,
3790,
13,
462,
29871,
525,
7976,
6913,
2396,
29871,
29896,
29906,
29941,
29892,
13,
462,
29871,
525,
5074,
3505,
2396,
29871,
29896,
29906,
29941,
29892,
13,
462,
29871,
525,
4763,
292,
6066,
2396,
525,
1807,
29915,
13,
795,
500,
13,
3986,
1723,
13,
308,
13,
4706,
3579,
5103,
21306,
1068,
13,
4706,
4761,
13,
9651,
426,
13,
18884,
525,
4035,
7588,
1980,
2396,
518,
13,
462,
1678,
426,
13,
462,
4706,
525,
4035,
22371,
1433,
29876,
2396,
525,
1807,
742,
13,
462,
4706,
525,
28213,
2396,
525,
1807,
742,
13,
462,
4706,
525,
17830,
2396,
525,
1807,
742,
13,
462,
4706,
525,
25602,
2396,
525,
1807,
742,
13,
462,
4706,
525,
7031,
293,
1433,
29876,
2396,
525,
1807,
29915,
13,
462,
1678,
2981,
13,
18884,
21251,
13,
9651,
500,
13,
308,
13,
4706,
3579,
5103,
3767,
12425,
1068,
13,
3986,
448,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
9651,
13291,
363,
2391,
4035,
7588,
1980,
3158,
13,
9651,
448,
3579,
4035,
7588,
1980,
1068,
334,
29898,
1761,
29897,
1192,
29930,
29871,
13,
795,
319,
1051,
310,
21696,
1980,
29889,
13,
795,
448,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
18884,
319,
14476,
1134,
363,
278,
8393,
310,
385,
16631,
317,
3059,
25691,
29889,
13,
18884,
448,
3579,
4035,
22371,
1433,
29876,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
9033,
29940,
29889,
13,
18884,
448,
3579,
28213,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
12271,
29889,
13,
18884,
448,
3579,
17830,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
9608,
29889,
13,
18884,
448,
3579,
25602,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
16248,
313,
4830,
7111,
373,
278,
9608,
467,
13,
18884,
448,
3579,
7031,
293,
1433,
29876,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
9033,
29940,
310,
278,
25691,
29915,
29879,
11261,
29889,
13,
4706,
584,
1853,
349,
351,
3381,
3991,
29901,
9657,
13,
4706,
584,
3207,
349,
351,
3381,
3991,
29901,
13,
3986,
319,
8600,
393,
8128,
4128,
304,
2761,
10203,
3381,
29889,
13,
3986,
448,
3579,
7976,
6913,
1068,
334,
29898,
16031,
29897,
1192,
29930,
13,
9651,
450,
3001,
1353,
310,
4452,
304,
736,
29889,
960,
278,
3001,
1353,
310,
4452,
3625,
338,
901,
1135,
278,
995,
6790,
297,
4236,
29899,
7076,
769,
263,
4954,
9190,
6066,
16159,
674,
367,
4944,
297,
278,
1962,
393,
366,
508,
671,
304,
620,
2017,
10203,
3381,
29889,
13,
3986,
448,
3579,
5074,
3505,
1068,
334,
29898,
16031,
29897,
1192,
29930,
13,
9651,
450,
2159,
310,
1269,
1813,
29889,
13,
3986,
448,
3579,
4763,
292,
6066,
1068,
334,
29898,
1807,
29897,
1192,
29930,
13,
9651,
319,
5993,
304,
6084,
988,
304,
1369,
10203,
262,
1218,
29889,
910,
338,
278,
4954,
9190,
6066,
16159,
515,
263,
3517,
2933,
29889,
13,
4706,
584,
29878,
1853,
29901,
9657,
13,
4706,
584,
18280,
29901,
13,
4706,
9995,
13,
4706,
1209,
13,
13,
13,
1990,
2391,
4035,
7588,
1980,
2059,
7031,
293,
29898,
29925,
26584,
1061,
1125,
13,
1678,
822,
10203,
16976,
29898,
1311,
29892,
7488,
293,
1433,
29876,
29901,
851,
29892,
349,
351,
3381,
3991,
29901,
360,
919,
353,
6213,
29897,
1599,
360,
919,
29901,
13,
4706,
9995,
13,
4706,
6760,
1078,
385,
20380,
393,
674,
10203,
16976,
1549,
20890,
515,
584,
2272,
29901,
29885,
621,
18078,
29903,
3059,
29889,
4032,
29889,
1761,
29918,
1491,
7588,
1980,
29918,
1609,
29918,
13010,
1412,
13,
4706,
2823,
884,
29901,
421,
29909,
7811,
3450,
10854,
362,
529,
991,
597,
2640,
29889,
10467,
29889,
17260,
29889,
510,
29914,
27102,
29914,
3609,
8787,
29914,
29879,
1983,
29899,
29906,
29900,
29896,
29900,
29899,
29900,
29941,
29899,
29941,
29896,
29914,
1293,
4035,
7588,
1980,
2059,
7031,
293,
13885,
29918,
13,
308,
13,
4706,
3579,
3089,
21306,
1068,
13,
4706,
4761,
13,
3986,
2933,
29918,
17609,
353,
10203,
262,
1061,
29889,
13573,
16976,
29898,
13,
795,
7488,
293,
1433,
29876,
2433,
1807,
742,
13,
795,
349,
351,
3381,
3991,
3790,
13,
462,
29871,
525,
7976,
6913,
2396,
29871,
29896,
29906,
29941,
29892,
13,
462,
29871,
525,
5074,
3505,
2396,
29871,
29896,
29906,
29941,
29892,
13,
462,
29871,
525,
4763,
292,
6066,
2396,
525,
1807,
29915,
13,
795,
500,
13,
3986,
1723,
13,
308,
13,
4706,
3579,
5103,
21306,
1068,
13,
4706,
4761,
13,
9651,
426,
13,
18884,
525,
4035,
7588,
1980,
2396,
518,
13,
462,
1678,
426,
13,
462,
4706,
525,
4035,
22371,
1433,
29876,
2396,
525,
1807,
742,
13,
462,
4706,
525,
28213,
2396,
525,
1807,
742,
13,
462,
4706,
525,
17830,
2396,
525,
1807,
742,
13,
462,
4706,
525,
25602,
2396,
525,
1807,
742,
13,
462,
4706,
525,
7031,
293,
1433,
29876,
2396,
525,
1807,
29915,
13,
462,
1678,
2981,
13,
18884,
21251,
13,
9651,
500,
13,
308,
13,
4706,
3579,
5103,
3767,
12425,
1068,
13,
3986,
448,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
9651,
13291,
363,
2391,
4035,
7588,
1980,
2059,
7031,
293,
3158,
29889,
13,
9651,
448,
3579,
4035,
7588,
1980,
1068,
334,
29898,
1761,
29897,
1192,
29930,
29871,
13,
795,
319,
1051,
310,
21696,
1980,
29889,
13,
795,
448,
334,
29898,
8977,
29897,
1192,
29930,
29871,
13,
18884,
319,
14476,
1134,
363,
278,
8393,
310,
385,
16631,
317,
3059,
25691,
29889,
13,
18884,
448,
3579,
4035,
22371,
1433,
29876,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
9033,
29940,
29889,
13,
18884,
448,
3579,
28213,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
12271,
29889,
13,
18884,
448,
3579,
17830,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
9608,
29889,
13,
18884,
448,
3579,
25602,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
25691,
29915,
29879,
16248,
313,
4830,
7111,
373,
278,
9608,
467,
13,
18884,
448,
3579,
7031,
293,
1433,
29876,
1068,
334,
29898,
1807,
29897,
1192,
29930,
29871,
13,
462,
29871,
450,
9033,
29940,
310,
278,
25691,
29915,
29879,
11261,
29889,
13,
4706,
584,
1853,
7488,
293,
1433,
29876,
29901,
1347,
13,
4706,
584,
3207,
7488,
293,
1433,
29876,
29901,
3579,
29961,
1525,
29984,
3120,
19386,
29962,
1068,
13,
3986,
450,
9033,
29940,
310,
278,
11261,
363,
607,
366,
6398,
304,
1284,
21696,
1980,
29889,
13,
4706,
584,
1853,
349,
351,
3381,
3991,
29901,
9657,
13,
4706,
584,
3207,
349,
351,
3381,
3991,
29901,
13,
3986,
319,
8600,
393,
8128,
4128,
304,
2761,
10203,
3381,
29889,
13,
3986,
448,
3579,
7976,
6913,
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jax3d/projects/nesf/nerfstatic/utils/jax_process_zero.py | google-research/jax3d | 33 | 187044 | <reponame>google-research/jax3d
# Copyright 2022 The jax3d 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.
"""Helper for functions which should only be execute on jax process zero."""
from flax.metrics import tensorboard
from flax.training import checkpoints
import jax
def _make_summary_fn(fn_name: str):
"""Creates a forwarding summary function, which prefixes the given tag."""
def summary_fn(self, tag, *args, **kwargs):
# pylint: disable=protected-access
if self._impl is None:
return
getattr(self._impl, fn_name)(tag, *args, **kwargs)
# pylint: enable=protected-access
summary_fn.__name__ = fn_name
return summary_fn
class SummaryWriter(object):
"""Creates a normal SummaryWriter if this is host 0. A dummy otherwise."""
def __init__(self, log_dir: str):
self._impl = None
if jax.process_index() == 0:
self._impl = tensorboard.SummaryWriter(log_dir)
text = _make_summary_fn("text")
image = _make_summary_fn("image")
scalar = _make_summary_fn("scalar")
histogram = _make_summary_fn("histogram")
def save_checkpoint(*args, **kwargs):
"""Only save a checkpoint if this is jax process 0. Otherwise pass."""
if jax.process_index() != 0:
return
checkpoints.save_checkpoint(*args, **kwargs)
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livestreaming-tools/blog.py | holdenk/livestreaming-tools | 7 | 160244 | <reponame>holdenk/livestreaming-tools
#!/home/hkarau/repos/livestreaming-tools/myvenv/bin/python
from __future__ import print_function
import logging
import os
import markdown2
from embed_helpers import *
from shortten import shortten
from utils import pacific_now, get_now_to_match
logging.basicConfig()
logger = logging.getLogger(__name__)
logger.setLevel("DEBUG")
def tw_link(username):
if len(username) > 2 and username[0] == "@":
return ("<a href='https://www.twitter.com/{short_username}'>{username}</a>"
.format(username=username, short_username=username[1:]))
else:
return username
def format_event_blog(event):
logger.debug("Formatting event title: {0}\n".format(event["title"]))
now = pacific_now()
event_in_past = event["date"] < now.date() or \
("start" in event and event["start"] and event["start"] < now)
def me_or_us():
if event["copresenters"] is not None:
presenters = ["@holdenkarau"]
presenters.extend(event["copresenters"])
presenters_html = ",".join(map(tw_link, presenters))
return "us ({presenters_html})".format(presenters_html=presenters_html)
else:
return "<a href='http://www.twitter.com/holdenkarau'>me</a>"
def thanks_or_come_join():
if event_in_past:
return "Thanks for joining {me_or_us} on {date}"
else:
return "Come join {me_or_us} on {time_or_date}"
def time_or_date():
if event["start"]:
return event["start"].strftime("%A %d %B @ %H:%M")
else:
return event["date"].strftime("%A %d. %B %Y")
def year():
year = str(event["date"].year)
if year in event["event_name"]:
return ""
else:
return " " + year
def where():
if event["event_name"] is not None:
if event["location"] is not None:
return "at {event_name}{year} {location}"
return ""
def talk_details():
if event["talk_description"] is not None:
new_description = markdown2.markdown(event["talk_description"])
return "The talk covered: {new_description}.".format(new_description=new_description)
elif event["room"] is not None:
return "The room will be <b>{room}</b>."
return ""
def event_type():
if event["event_type"] is not None:
return event["event_type"]
elif "book" in event["title"].lower():
return "signing"
else:
return "talk"
def talk_links():
link_text = ""
if event["short_repo_link"] is not None:
link_text += 'You can find the code for this <a href="{short_repo_link}">talk at {repo_link}</a>.'
if event["short_slides_link"] is not None:
link_text += 'The <a href="{short_slides_link}">slides are at {short_slides_link}</a>.'
if event["short_video_link"] is not None:
link_text += 'The <a href="{short_video_link}">video of the talk is up at {short_video_link}</a>.'
if event["short_related_video"] is not None:
link_text += 'There is a <a href="{short_related_video}">related video</a> you might want to check out.'
# Put the link's in a paragraph.
if event["short_codelab_link"] is not None:
link_text += 'And if you want there is a <a href="{short_codelab_link}">related codelab you can try out</a>.'
if link_text != "":
link_text = "<p>{0}</p>".format(link_text)
if link_text == "" and event_type() == "talk":
link_text = "I'll update this post with the slides soon."
return link_text
def talk_embeds():
embed_text = ""
if is_youtube(event["video_link"]):
embed_text += embed_youtube(event["video_link"])
elif is_vimeo(event["video_link"]):
embed_text += embed_vimeo(event["video_link"])
if is_youtube(event["related_video"]):
embed_text += embed_youtube(event["related_video"])
if is_slideshare(event["slides_link"]):
embed_text += embed_slideshare(event["slides_link"])
return embed_text
def discussion():
if event["discussion_link"]:
return '<a href="{short_discussion_link}">Join in the discussion at {short_discussion_link}</a> :)'
elif event_in_past:
return "Comment bellow to join in the discussion :)"
else:
return "Come see to the {event_type} or comment bellow to join in the discussion :)"
def footer():
return os.getenv(
"POST_FOOTER",
'<a href="http://bit.ly/holdenTalkFeedback">Talk feedback is appreciated at http://bit.ly/holdenTalkFeedback</a>')
def title_w_link():
if event['short_talk_link']:
return '<a href="{short_talk_link}">{title}</a>'
return '{title}'
def generate_related_links():
if event['related_links']:
links = map(lambda link_text:
'<a href="{link}">{text}</a>'.format(link=link_text[0], text=link_text[1]),
event['related_links'])
return 'And some related links: ' + ", ".join(links)
return ""
fmt_elements = event.copy()
other_elements = {
'event_type': event_type(),
'me_or_us': me_or_us(), 'year': year(),
'time_or_date': time_or_date(),
'thanks_or_come_join': thanks_or_come_join(), 'where': where(),
'talk_details': talk_details(), 'talk_links': talk_links(), 'talk_embeds': talk_embeds(),
'title_w_link': title_w_link(),
'related_links': generate_related_links(),
'discussion': discussion(), 'footer': footer()}
fmt_elements.update(other_elements)
# Format until we're done
c = 0
post_string = event['blog_fmt_text'] or \
("{thanks_or_come_join} {where} for {title_w_link}.{talk_details}{talk_links}"
"{talk_embeds}{related_links}{discussion}.{footer}")
result = post_string.format(**fmt_elements)
while result != result.format(**fmt_elements):
result = result.format(**fmt_elements)
return result
def make_event_blogs(events, blog_service):
"""Make the posts for the provided events.
Mutates the events to contain the new post text if we generate a post."""
logger.debug("Looking at events {0}".format(events))
event_and_posts = map(lambda event: (event, format_event_blog(event)), events)
event_and_posts_to_be_updated = filter(
lambda e_p: e_p[0]["post_id"] is not None and e_p[0]["last_post_text"] != e_p[1],
event_and_posts)
event_and_posts_to_be_created = filter(
lambda e_p: e_p[0]["last_post_text"] is None and e_p[0]["post_id"] is None,
event_and_posts)
logger.debug("New posts to be created {0}".format(event_and_posts_to_be_created))
logger.debug(dir(blog_service))
logger.debug(dir(blog_service.blogs()))
blog_id_query = blog_service.blogs().getByUrl(url="http://blog.holdenkarau.com")
blog_id = blog_id_query.execute()['id']
logger.debug("Blog id {blog_id}".format(blog_id=blog_id))
for event, post in event_and_posts_to_be_created:
event["changed"] = True
post_query = blog_service.posts().insert(
body={"title": event["title"] + " @ " + event["event_name"], "content": post},
blogId=blog_id)
post_result = post_query.execute()
event["post_link"] = str(post_result["url"])
event["post_id"] = str(post_result["id"])
event["last_post_text"] = post
event["short_post_link"] = shortten(event["post_link"])
# Temporary hack only make one post per call, leave the rest for later
# so as to not overwhelm. TODO(holden) -- better schedualing
break
for event, post in event_and_posts_to_be_updated:
event["changed"] = True
post_query = blog_service.posts().update(
body={"title": event["title"] + " @ " + event["event_name"], "content": post},
blogId=blog_id, postId=event["post_id"])
post_query.execute()
event["last_post_text"] = post
return events
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118-Pascals-Triangle/solution.py | alfmunny/leetcode | 0 | 95127 | class Solution:
def generate(self, numRows: int) -> List[List[int]]:
ans = []
for i in range(1, numRows+1):
level = [1] * i
if ans:
for j in range(1, i-1):
level[j] = ans[-1][j-1] + ans[-1][j]
ans.append(level)
return ans
| [
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unit_test/test_vx_base_target.py | owl129/vxhunter | 189 | 190709 | <filename>unit_test/test_vx_base_target.py
from common import BaseTestCase, mock
from serial_debuger.vx_base_target import VxSerialBaseTarget
class VxSerialCmdDebugerTests(BaseTestCase):
def setUp(self):
super(VxSerialCmdDebugerTests, self).setUp()
self.target = VxSerialBaseTarget()
self.target.serial = mock.Mock()
def check_serial_alive(self):
self.target.check_serial_alive = mock.Mock(return_value=True)
self.assertEqual(self.target.check_serial_alive(), True)
def test_send_and_recvuntil(self):
self.target.check_serial_alive = mock.Mock(return_value=True)
self.target.serial.sendlinethen = mock.Mock(return_value="help # # some output")
rsp = self.target.send_and_recvuntil("help")
self.assertEqual(rsp, "help # # some output")
def test_prepare_memory_dump_command(self):
command = self.target.prepare_memory_dump_command(1000, 16)
self.assertEqual(command, 'mem -dump 0x3e8 0x10')
command = self.target.prepare_memory_dump_command(0x1000, 0x20)
self.assertEqual(command, 'mem -dump 0x1000 0x20')
def test_memory_dump_data_parser(self):
dump_data = "80001000: 3C 08 10 00 40 88 60 00 - 40 80 68 00 00 00 00 40 \t <...@.`. @.h....@\r\n#"
output_data = self.target.memory_dump_data_parser(dump_data)
self.assertEqual(output_data, {2147487744: '3C081000408860004080680000000040'})
dump_data = "80001000: 3C 08 10 00 40 88 60 00 - 40 80 68 00 00 00 00 40 \t <...@.`. @.h....@\r\n" \
"80001010: 00 00 00 40 00 00 00 40 - 00 00 00 40 00 00 00 40 \t ...@...@ ...@...@\r\n#"
output_data = self.target.memory_dump_data_parser(dump_data)
self.assertEqual(output_data, {2147487744: '3C081000408860004080680000000040',
2147487760: '00000040000000400000004000000040'})
# print(output_data)
def test_dump_memroy(self):
self.target.send_and_recvuntil = mock.Mock(
return_value=" mem -dump 0x80001000 0x20\r\n"
"80001000: 3C 08 10 00 40 88 60 00 - 40 80 68 00 00 00 00 40 \t <...@.`. @.h....@\r\n"
"80001010: 00 00 00 40 00 00 00 40 - 00 00 00 40 00 00 00 40 \t ...@...@ ...@...@\r\n#")
output_data = self.target._dump_memroy(start_address=0x80001000, size=0x20)
self.assertEqual(output_data, {2147487744: '3C081000408860004080680000000040',
2147487760: '00000040000000400000004000000040'})
def test_get_mem_dump(self):
self.target.send_and_recvuntil = mock.Mock(
return_value=" mem -dump 0x80001000 0x20\r\n"
"80001000: 3C 08 10 00 40 88 60 00 - 40 80 68 00 00 00 00 40 \t <...@.`. @.h....@\r\n"
"80001010: 00 00 00 40 00 00 00 40 - 00 00 00 40 00 00 00 40 \t ...@...@ ...@...@\r\n#")
output_data = self.target.get_mem_dump(start_address=0x80001000, size=0x20)
self.assertEqual(output_data.encode('hex'), '3c08100040886000408068000000004000000040000000400000004000000040') | [
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PythonExercicios/ex039.py | lordvinick/Python | 0 | 29724 | <filename>PythonExercicios/ex039.py
print('\033[36m='*12, '\033[32mAlistamento Militar', '\033[36m='*12)
from datetime import date
ano = int(input('Em que ano você nasceu? '))
atual = date.today().year
idade = atual - ano
print(f'Você tem \033[32m{idade} \033[36manos em \033[32m{atual}.')
if idade == 18:
print('\033[36mTa na hora de se alistar.')
elif idade < 18:
print(f'\033[36mAinda falta(m) \033[32m{18 - idade} \033[36mano(s) para se alistar \nSeu alistamento será em \033[32m{ano+18}.')
elif idade > 18:
print(f'\033[31mVocê deveria ter se alistado há \033[32m{idade - 18} \033[31manos atrás.\n\033[36mSeu alistamento foi em \033[32m{ano+18}.')
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integration/bazel_workspace_tests/bazel_ngtsc_plugin/packages.bzl | John-Cassidy/angular | 95,154 | 24397 | <filename>integration/bazel_workspace_tests/bazel_ngtsc_plugin/packages.bzl
ANGULAR_PACKAGES_CONFIG = [
("@angular/animations", struct(entry_points = ["browser"])),
("@angular/common", struct(entry_points = ["http/testing", "http", "testing"])),
("@angular/compiler", struct(entry_points = ["testing"])),
("@angular/core", struct(entry_points = ["testing"])),
("@angular/forms", struct(entry_points = [])),
("@angular/platform-browser", struct(entry_points = ["testing", "animations"])),
("@angular/platform-browser-dynamic", struct(entry_points = ["testing"])),
("@angular/router", struct(entry_points = [])),
]
ANGULAR_PACKAGES = [
struct(
name = name[len("@angular/"):],
entry_points = config.entry_points,
platform = config.platform if hasattr(config, "platform") else "browser",
module_name = name,
)
for name, config in ANGULAR_PACKAGES_CONFIG
]
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] |
scripts/upload-readme.py | slashben/regolibrary | 0 | 179074 | import requests
import os
import json
import re
class ReadmeApi(object):
def __init__(self):
super().__init__()
self.doc_version = None
def authenticate(self, api_key):
r = requests.get('https://dash.readme.com/api/v1', auth=(api_key, ''))
if r.status_code != 200:
raise Exception('Failed to authenticate')
auth_response = r.json()
self.jwt = auth_response['jwtSecret']
self.base_url = auth_response['baseUrl']
self.api_key = api_key
def set_version(self, version:str):
self.doc_version = version
def get_categories(self):
url = "https://dash.readme.com/api/v1/categories"
querystring = {"perPage":"1000","page":"1"}
r = requests.request("GET", url, params=querystring, auth=(self.api_key, ''))
if r.status_code != 200:
raise Exception('Failed to get categories')
return r.json()
def get_category(self,category_slug : str):
url = "https://dash.readme.com/api/v1/categories/%s" % category_slug
r = requests.request("GET", url,headers={"Accept": "application/json"}, auth=(self.api_key, ''))
if r.status_code != 200:
raise Exception('Failed to get categories')
return r.json()
def get_docs_in_category(self, category_slug: str):
url = "https://dash.readme.com/api/v1/categories/%s/docs" % category_slug
r = requests.request("GET", url, headers={"Accept":"application/json"}, auth=(self.api_key, ''))
if r.status_code != 200:
raise Exception('Failed to docs for category')
return r.json()
def get_doc(self, doc_slug: str):
url = "https://dash.readme.com/api/v1/docs/%s" % doc_slug
r = requests.request("GET", url, headers={"Accept":"application/json"}, auth=(self.api_key, ''))
if r.status_code == 404:
return None
if r.status_code < 200 or 299 < r.status_code:
raise Exception('Failed to docs for category')
return r.json()
def delete_doc(self, doc_slug: str):
url = "https://dash.readme.com/api/v1/docs/%s" % doc_slug
r = requests.request("DELETE", url, headers={"Accept":"application/json"}, auth=(self.api_key, ''))
if r.status_code < 200 or 299 < r.status_code:
raise Exception('Failed to delete doc (%d)'%r.status_code)
def create_doc(self, slug: str, parent_id: str, order: int, title: str, body: str, category: str):
url = "https://dash.readme.com/api/v1/docs"
payload = {
"hidden": False,
"order": order,
"title": title,
"type": "basic",
"body": body,
"category": category,
"parentDoc": parent_id,
"slug": slug
}
headers = {
"Accept": "application/json",
"Content-Type": "application/json",
}
r = requests.request("POST", url, json=payload, headers=headers, auth=(self.api_key, ''))
if r.status_code < 200 or 299 < r.status_code:
raise Exception('Failed to create doc: %s'%r.text)
return r.json()
def update_doc(self, doc_slug: str, order: int, title: str, body: str, category: str):
url = "https://dash.readme.com/api/v1/docs/%s" % doc_slug
payload = {
"hidden": False,
"order": order,
"title": title,
"body": body,
"category": category
}
headers = {
"Accept": "application/json",
"Content-Type": "application/json",
}
r = requests.request("PUT", url, json=payload, headers=headers, auth=(self.api_key, ''))
if r.status_code < 200 or 299 < r.status_code:
raise Exception('Failed to update doc: %s'%r.text)
return r.json()
def validate_readme_structure(readmeapi : ReadmeApi):
categories = readmeapi.get_categories()
filtered_categories = list(filter(lambda c: c['title'] == 'Controls',categories))
if len(filtered_categories) != 1:
raise Exception('Readme structure validation failure: missing "Controls" category (or more than one)')
controls_category = filtered_categories[0]
docs_in_control_category = readmeapi.get_docs_in_category(controls_category['slug'])
filtered_docs = list(filter(lambda d: d['title'] == 'Controls',docs_in_control_category))
if len(filtered_docs) != 1:
raise Exception('Readme structure validation failure: missing "Controls" document')
def get_document_for_control(readmeapi : ReadmeApi, control):
categories = readmeapi.get_categories()
filtered_categories = list(filter(lambda c: c['title'] == 'Controls',categories))
if len(filtered_categories) != 1:
raise Exception('Readme structure failure: missing "Controls" category (or more than one)')
controls_category = filtered_categories[0]
docs_in_control_category = readmeapi.get_docs_in_category(controls_category['slug'])
filtered_docs = list(filter(lambda d: d['title'].startswith(control['id']),docs_in_control_category))
if len(filtered_docs) != 1:
return None
control_doc = filtered_docs[0]
return control_doc
def get_frameworks_for_control(control):
r = []
for frameworks_json_file_name in filter(lambda fn: fn.endswith('.json'),os.listdir('frameworks')):
framework = json.load(open(os.path.join('frameworks',frameworks_json_file_name)))
if framework['name'].startswith('developer'):
continue
if control['name'] in framework['controlsNames']:
r.append(framework['name'])
return r
def create_md_for_control(control):
related_resources = set()
control_config_input = {}
host_sensor = False
cloud_control = False
for rule_obj in control['rules']:
if 'match' in rule_obj:
for match_obj in rule_obj['match']:
if 'resources' in match_obj:
related_resources.update(set(match_obj['resources']))
if 'controlConfigInputs' in rule_obj:
for control_config in rule_obj['controlConfigInputs']:
control_config_input[control_config['path']] = control_config
if 'attributes' in rule_obj:
if 'hostSensorRule' in rule_obj['attributes']:
host_sensor = True
if 'relevantCloudProviders' in rule_obj:
cloud_control = len(rule_obj['relevantCloudProviders']) > 0
md_text = ''
md_text += '# %s\n' % control['name']
if host_sensor:
md_text += '*Note: to enable this control run Kubescape with host sensor (see [here](https://hub.armo.cloud/docs/host-sensor))*\n'
if cloud_control:
md_text += '*Note: this control relevant for cloud managed Kubernetes cluster*\n'
md_text += '## Framework\n'
md_text += ', '.join(get_frameworks_for_control(control)) + '\n'
md_text += '## Severity\n'
severity_map = {1:'Low',2:'Low',3:'Low',4:'Low',5:'Medium',6:'Medium',7:'High',8:'High',9:'Critical',10:'Critical'}
md_text += '%s\n' % severity_map[int(control['baseScore'])]
md_text += '## Description of the the issue\n'
description = control['long_description'] if 'long_description' in control else control['description']
if len(control_config_input):
description += 'Note, this control is configurable. See below the details.'
md_text += description + '\n'
md_text += '## Related resources\n'
md_text += ', '.join(sorted(list(related_resources))) + '\n'
md_text += '## What does this control test\n'
test = control['test'] if 'test' in control else control['description']
md_text += test + '\n'
md_text += '## Remediation\n'
md_text += control['remediation'] + '\n'
if len(control_config_input):
configuration_text = '## Configuration\nThis control can be configured using the following parameters. Read CLI/UI documentation about how to change parameters.\n'
for control_config_name in control_config_input:
control_config = control_config_input[control_config_name]
configuration_text += '### ' + control_config['name'] + '\n'
config_name = control_config['path'].split('.')[-1]
configuration_text += '[' + config_name + '](doc:configuration_parameter_%s)'%config_name.lower() + '\n'
configuration_text += control_config['description'] + '\n'
md_text += configuration_text
md_text += '## Example\n'
if 'example' in control:
md_text += '```\n' +control['example'] + '\n```' + '\n'
else:
md_text += 'No example\n'
return md_text
def generate_slug(control):
return control['id'].lower()
def get_configuration_parameters_info():
default_config_inputs = None
with open('default-config-inputs.json','r') as f:
default_config_inputs = json.load(f)['settings']['postureControlInputs']
config_parameters = {}
for control_json_file_name in filter(lambda fn: fn.endswith('.json'),os.listdir('controls')):
try:
control_obj = json.load(open(os.path.join('controls',control_json_file_name)))
control_obj['rules'] = []
for rule_directory_name in os.listdir('rules'):
rule_metadata_file_name = os.path.join('rules',rule_directory_name,'rule.metadata.json')
if os.path.isfile(rule_metadata_file_name):
rule_obj = json.load(open(rule_metadata_file_name))
if rule_obj['name'] in control_obj['rulesNames']:
control_obj['rules'].append(rule_obj)
if 'controlConfigInputs' in rule_obj:
for config in rule_obj['controlConfigInputs']:
name = config['path'].split('.')[-1]
config_parameters[name] = config
except Exception as e:
print('error processing %s: %s'%(control_json_file_name,e))
return config_parameters, default_config_inputs
def main():
API_KEY = os.getenv('README_API_KEY')
if not API_KEY:
raise Exception('README_API_KEY is not defined')
# Validate connection
readmeapi = ReadmeApi()
readmeapi.authenticate(API_KEY)
print('Authenticated')
# Validated structure
validate_readme_structure(readmeapi)
print('Readme structure validated')
control_category_obj = readmeapi.get_category('controls')
parent_control_doc = readmeapi.get_doc('controls')
#print("Parent doc\n",parent_control_doc)
if os.getenv('PRUNE_CONTROLS'):
for control_doc in readmeapi.get_docs_in_category('controls'):
if control_doc['_id'] == parent_control_doc['_id']:
for child_doc in control_doc['children']:
readmeapi.delete_doc(child_doc['slug'])
print('Deleted %s'%child_doc['slug'])
# Configuration parameter processing
config_parameters, default_config_inputs = get_configuration_parameters_info()
parent_configuration_parameters_doc = readmeapi.get_doc('configuration-parameters')
i = 0
for config_parameters_path in sorted(list(config_parameters.keys())):
print('Processing ',config_parameters_path)
# Create md
md = '# %s\n' % config_parameters_path
md += '## Description\n'
md += config_parameters[config_parameters_path]['description'] + '\n'
md += '## Default values\n'
for dvalue in default_config_inputs[config_parameters_path]:
md += '* %s\n' % dvalue
title = 'Parameter: %s' % config_parameters_path
config_parameter_slug = 'configuration_parameter_' + config_parameters_path.lower()
config_parameter_doc = readmeapi.get_doc(config_parameter_slug)
if config_parameter_doc:
readmeapi.update_doc(config_parameter_slug,i,title,md,control_category_obj['_id'])
print('\tupdated')
else:
parent_config_param_doc = readmeapi.get_doc('configuration-parameters')
readmeapi.create_doc(config_parameter_slug,parent_config_param_doc['_id'],i,title,md,control_category_obj['_id'])
print('\tcreated')
i = i + 1
# Start processing
for control_json_file_name in filter(lambda fn: fn.endswith('.json'),os.listdir('controls')):
#try:
if True:
print('processing %s' % control_json_file_name)
control_obj = json.load(open(os.path.join('controls',control_json_file_name)))
base_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
if 'controlID' in control_obj:
controlID = control_obj['controlID']
example_file_name = controlID.replace('C-00','c0') + '.yaml'
example_file_name = os.path.join('controls','examples',example_file_name)
if os.path.isfile(example_file_name):
with open(example_file_name) as f:
control_obj['example'] = f.read()
if 'example' in control_obj and len(control_obj['example']) > 0 and control_obj['example'][0] == '@':
example_file_name = os.path.join(base_dir,control_obj['example'][1:])
if os.path.isfile(example_file_name):
with open(example_file_name) as f:
control_obj['example'] = f.read()
else:
print('warning: %s is not a file' % example_file_name)
control_obj['rules'] = []
for rule_directory_name in os.listdir('rules'):
rule_metadata_file_name = os.path.join('rules',rule_directory_name,'rule.metadata.json')
if os.path.isfile(rule_metadata_file_name):
rule_obj = json.load(open(rule_metadata_file_name))
if rule_obj['name'] in control_obj['rulesNames']:
control_obj['rules'].append(rule_obj)
md = create_md_for_control(control_obj)
title = '%(id)s - %(name)s' % control_obj
control_slug = generate_slug(control_obj)
control_doc = readmeapi.get_doc(control_slug)
if control_doc and len(control_obj['id']) > 2:
readmeapi.update_doc(control_slug,int(control_obj['id'][2:]),title,md,control_category_obj['_id'])
print('\tupdated')
else:
readmeapi.create_doc(control_slug,parent_control_doc['_id'],int(control_obj['id'][2:]),title,md,control_category_obj['_id'])
print('\tcreated')
#except Exception as e:
# print('error processing %s: %s'%(control_json_file_name,e))
# Delete children of control doc in co
exit(0)
if __name__ == '__main__':
main()
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] |
rnaseq/src/bam2coverage.py | cjops/gtex-pipeline | 3 | 137918 | <filename>rnaseq/src/bam2coverage.py
#!/usr/bin/env python3
# Author: <NAME>
import argparse
import subprocess
import os
from datetime import datetime
import gzip
import pyBigWig
parser = argparse.ArgumentParser(description='Computes coverage in bigWig and/or bedGraph format from input BAM.')
parser.add_argument('bam_file', help='Input BAM file')
parser.add_argument('chr_sizes', help='Chromosome sizes for the reference genome used')
parser.add_argument('prefix', help='Prefix for output file names')
parser.add_argument('--intersect', default=None, type=str, help='BED file containing intervals to calculate coverage on')
parser.add_argument('-f', '--format', default=['bigwig'], type=str.lower, nargs='+', choices=['bigwig', 'bedgraph'])
parser.add_argument('--sam_flags', default='-F 768', help='Flags for samtools. Default: filter out secondary and QC-failed reads')
parser.add_argument('-o', '--output', default='.', help='Output directory')
args = parser.parse_args()
print('['+datetime.now().strftime("%b %d %H:%M:%S")+'] Starting coverage computation', flush=True)
print(' * generating bedGraph from BAM', flush=True)
# bedGraph file must be sorted for compatibility with bedGraphToBigWig
bgpath = os.path.join(args.output, args.prefix + '.bedGraph')
# exclude reads that are: not primary alignment; failed platform/vendor quality checks (flags 8 & 9)
cmd = 'samtools view '+args.sam_flags+' -b '+args.bam_file+' | bedtools genomecov -bga -split -ibam - | sort -k1,1 -k2,2n > '+bgpath
subprocess.call(cmd, shell=True, executable='/bin/bash')
if 'bigwig' in args.format:
print(' * generating bigWig from bedGraph', flush=True)
bwpath = os.path.join(args.output, args.prefix + '.bigWig')
cmd = 'bedGraphToBigWig '+bgpath+' '+args.chr_sizes+' '+bwpath
subprocess.call(cmd, shell=True, executable='/bin/bash')
if args.intersect is not None:
print(' * calculating coverage on BED intervals', flush=True)
bw = pyBigWig.open(bwpath)
with gzip.open(bwpath.replace('.bigWig', '.coverage.gz'), 'wt') as f, gzip.open(args.intersect) as bed:
f.write('\t'.join(['gene_id', 'chr', 'start', 'end', 'coverage'])+'\n')
for line in bed:
line = line.decode().strip().split()
c = bw.values(line[0], int(line[1]), int(line[2]), numpy=True)
f.write('\t'.join([line[3], line[0], line[1], line[2], ','.join(c.astype(int).astype(str))])+'\n')
bw.close()
if 'bedgraph' not in args.format:
os.remove(bgpath)
print('['+datetime.now().strftime("%b %d %H:%M:%S")+'] Done', flush=True)
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] |
examples/get_started_example.py | th2-net/th2-data-services | 3 | 108771 | from collections import Generator
from th2_data_services import DataSource, Data, Filter
from datetime import datetime
# [1] Create DataSource object to connect to rpt-data-provider.
DEMO_HOST = "10.64.66.66" # th2-kube-demo Host port where rpt-data-provider is located.
DEMO_PORT = "30999" # Node port of rpt-data-provider.
data_source = DataSource(f"http://{DEMO_HOST}:{DEMO_PORT}")
START_TIME = datetime(
year=2021, month=6, day=17, hour=9, minute=44, second=41, microsecond=692724
) # object given in utc format
END_TIME = datetime(year=2021, month=6, day=17, hour=12, minute=45, second=49, microsecond=28579)
# [2] Get events or messages from START_TIME to END_TIME.
# [2.1] Get events.
events: Data = data_source.get_events_from_data_provider(
startTimestamp=START_TIME,
endTimestamp=END_TIME,
attachedMessages=True,
# Use Filter class to apply rpt-data-provider filters.
filters=[ # Use the list to set multiple filters.
Filter("name", "ExecutionReport"),
Filter("type", "Send message"),
],
)
# [2.2] Get messages.
messages: Data = data_source.get_messages_from_data_provider(
startTimestamp=START_TIME,
endTimestamp=END_TIME,
attachedMessages=True,
stream=["demo-conn2"],
filters=Filter("body", "195"),
)
# [3] Work with your Data object.
# [3.1] Filter.
filtered_events: Data = events.filter(lambda e: e["body"] != []) # Filter events with empty body.
# [3.2] Map.
def transform_function(record):
return {"eventName": record["eventName"], "successful": record["successful"]}
filtered_and_mapped_events = filtered_events.map(transform_function)
# [3.3] Data pipeline.
# Instead of doing data transformations step by step you can do it in one line.
filtered_and_mapped_events_by_pipeline = events.filter(lambda e: e["body"] != []).map(transform_function)
# Content of these two Data objects should be equal.
assert list(filtered_and_mapped_events) == list(filtered_and_mapped_events_by_pipeline)
# [3.4] Sift. Skip the first few items or limit them.
events_from_11_to_end: Generator = events.sift(skip=10)
only_first_10_events: Generator = events.sift(limit=10)
# [3.5] Changing cache status.
events.use_cache(True)
# [3.6] Walk through data.
for event in events:
# Do something with event (event is a dict).
print(event)
# After first iteration the events has a cache file.
# Now they will be used the cache in following iteration.
# [3.7] Get number of the elements in the Data object.
number_of_events = events.len
# [3.8] Check that Data object isn't empty.
# The data source should be not empty.
assert events.is_empty is False
# [3.9] Convert Data object to the list of elements(events or messages).
# Be careful, this can take too much memory.
events_list = list(events)
# [3.10] Get event/message by id.
desired_event = "9ce8a2ff-d600-4366-9aba-2082cfc69901:ef1d722e-cf5e-11eb-bcd0-ced60009573f"
desired_events = [
"deea079b-4235-4421-abf6-6a3ac1d04c76:ef1d3a20-cf5e-11eb-bcd0-ced60009573f",
"a34e3cb4-c635-4a90-8f42-37dd984209cb:ef1c5cea-cf5e-11eb-bcd0-ced60009573f",
]
desired_message = "demo-conn1:first:1619506157132265837"
desired_messages = [
"demo-conn1:first:1619506157132265836",
"demo-conn1:first:1619506157132265833",
]
data_source.find_events_by_id_from_data_provider(desired_event) # Returns 1 event (dict).
data_source.find_events_by_id_from_data_provider(desired_events) # Returns 2 events list(dict).
data_source.find_messages_by_id_from_data_provider(desired_message) # Returns 1 message (dict).
data_source.find_messages_by_id_from_data_provider(desired_messages) # Returns 2 messages list(dict).
# [3.11] The cache inheritance.
# Creates a new Data object that will use cache from the events Data object.
events_with_batch = events.filter(lambda record: record.get("batchId"))
# New Data objects don't use their own cache by default but use the cache of the parent Data object.
# Use use_cache method to activate caching. After that, the Data object will create its own cache file.
events_with_batch.use_cache(True)
list(events_with_batch)
events_types_with_batch = events_with_batch.map(lambda record: {"eventType": record.get("eventType")})
events_without_types_with_batch = events_types_with_batch.filter(lambda record: not record.get("eventType"))
events_without_types_with_batch.use_cache(True)
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build/lib/abp/openai/wrappers/reward_wrapper.py | LinearZoetrope/abp | 0 | 94323 | from gym import Wrapper
import inspect
import logging
from functools import partial
logger = logging.getLogger(__name__)
class RewardWrapper(Wrapper):
"""
Adds support for reward decomposition of the environment.
To support reward decompisition the environment has to return reward as a list of dictionary values
Example:
[
{
"id": "unique ID of the type",
"value": integer value indicating the reward got for this type,
"description": description of the type (Can be used for explanation)
}
]
By default returns decomposed reward. It can be turned off by setting decompose_reward = False
"""
def __init__(self, env):
super(RewardWrapper, self).__init__(env)
def step(self, action, decompose_reward = True):
#TODO THIS DOES NOT WORK!!!!
args , _ = inspect.getargspec(self.unwrapped._step, )
if "decompose_reward" in args:
self.unwrapped._step = partial(self.unwrapped._step, decompose_reward = decompose_reward)
return self.env.step(action)
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