xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

d941c96bdb3de312619f0e0d1f86224deb79a8f6

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model/base.py

taogogo/webpyCMS

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model/base.py

taogogo/webpyCMS

d5eb2543e1d8cf07dab37aa28e5748b1abf413c5

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2021-03-13T14:27:27.000Z

model/base.py

taogogo/webpyCMS

d5eb2543e1d8cf07dab37aa28e5748b1abf413c5

[ "MIT" ]

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2020-07-26T15:56:45.000Z

# -*- coding: utf-8 -*- #!/usr/bin/env python #coding=utf-8 from model.db.database import * class base: def getTable(self): return self.__class__.__name__ def getDb(self): return database() def insert(self,data): return self.getDb().insert(self.getTable(),data) def delete(self,condition): return self.getDb().delete(self.getTable(), condition) def getList(self,colums,condition,orders='',limits=''): return self.getDb().getList(self.getTable(),colums,condition,orders,limits) def getOne(self,colums,condition,orders='',limits=''): return self.getDb().getOne(self.getTable(),colums,condition,orders,limits) def update(self, data,condition): return self.getDb().update(self.getTable(),data,condition)

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python/test/test_move.py

Innoviox/taktician

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python/test/test_move.py

Innoviox/taktician

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python/test/test_move.py

Innoviox/taktician

c2997342264a8c9dba33b401984a2cba45d91386

[ "MIT" ]

13

2016-05-22T00:42:20.000Z

2021-06-21T12:36:50.000Z

import tak class TestMove(object): def test_is_slide(self): assert not tak.MoveType.PLACE_FLAT.is_slide() assert not tak.MoveType.PLACE_STANDING.is_slide() assert not tak.MoveType.PLACE_CAPSTONE.is_slide() assert tak.MoveType.SLIDE_LEFT.is_slide() assert tak.MoveType.SLIDE_RIGHT.is_slide() assert tak.MoveType.SLIDE_UP.is_slide() assert tak.MoveType.SLIDE_DOWN.is_slide() def test_direction(self): assert tak.MoveType.SLIDE_LEFT.direction() == (-1, 0) assert tak.MoveType.SLIDE_RIGHT.direction() == (1, 0) assert tak.MoveType.SLIDE_UP.direction() == (0, 1) assert tak.MoveType.SLIDE_DOWN.direction() == (0, -1) def test_all_moves(): moves = set(tak.enumerate_moves(5)) assert tak.Move(0, 0) in moves assert tak.Move(0, 4) in moves assert tak.Move(4, 4) in moves assert tak.Move(0, 0, tak.MoveType.PLACE_CAPSTONE) in moves assert tak.Move(0, 0, tak.MoveType.PLACE_STANDING) in moves assert tak.Move(5, 5) not in moves assert tak.Move(0, 0, tak.MoveType.SLIDE_RIGHT, (1, 1, 1, 1)) in moves assert tak.Move(1, 0, tak.MoveType.SLIDE_RIGHT, (1, 1, 1)) in moves assert tak.Move(2, 0, tak.MoveType.SLIDE_RIGHT, (1, 1, 1)) not in moves assert all(m.type != tak.MoveType.SLIDE_LEFT for m in moves if m.x == 0) assert all(m.type != tak.MoveType.SLIDE_RIGHT for m in moves if m.x == 4) assert all(m.type != tak.MoveType.SLIDE_UP for m in moves if m.y == 4) assert all(m.type != tak.MoveType.SLIDE_DOWN for m in moves if m.y == 0)

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test_import.py

Musire/Chess_Game

a3e5e18d94a96d60ef7bf7b999b1224928d8e08a

[ "Unlicense" ]

null

test_import.py

Musire/Chess_Game

a3e5e18d94a96d60ef7bf7b999b1224928d8e08a

[ "Unlicense" ]

null

test_import.py

Musire/Chess_Game

a3e5e18d94a96d60ef7bf7b999b1224928d8e08a

[ "Unlicense" ]

null

import board import pieces import pygame from pygame.locals import * import game_test as gt if __name__ == '__main__': gt.main(gt.gameOn)

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tests/urls.py

xncbf/django-dynamodb-cache

be6d1b4b8e92d581041043bcd694f2a9f00ee386

[ "MIT" ]

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2022-02-16T10:18:24.000Z

2022-03-31T23:40:06.000Z

tests/urls.py

xncbf/django-dynamodb-cache

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[ "MIT" ]

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2022-03-01T06:40:59.000Z

2022-03-26T08:12:31.000Z

tests/urls.py

xncbf/django-dynamodb-cache

be6d1b4b8e92d581041043bcd694f2a9f00ee386

[ "MIT" ]

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from django.http import HttpResponse from django.urls import path def test(request): return HttpResponse(b"teste") urlpatterns = [path("test", test)]

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Python

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Gamma and Related Functions/polygamma Polygamma function which is the $n$th derivative of the digamma (psi) function.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Gamma and Related Functions/polygamma Polygamma function which is the $n$th derivative of the digamma (psi) function.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Gamma and Related Functions/polygamma Polygamma function which is the $n$th derivative of the digamma (psi) function.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

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special.polygamma(n, x)

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src/drugbank_downloader/__init__.py

cthoyt/drugbank_downloader

1bfac2b7d900abf03788c9441882a739df313d9e

[ "MIT" ]

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2020-12-20T18:18:27.000Z

2022-03-27T13:26:12.000Z

src/drugbank_downloader/__init__.py

cthoyt/drugbank_downloader

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[ "MIT" ]

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2021-08-31T08:44:32.000Z

src/drugbank_downloader/__init__.py

cthoyt/drugbank_downloader

1bfac2b7d900abf03788c9441882a739df313d9e

[ "MIT" ]

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2021-12-07T08:23:43.000Z

# -*- coding: utf-8 -*- from .api import download_drugbank, get_drugbank_root, open_drugbank, parse_drugbank

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tests/artist_app/apps.py

moshthepitt/django-vega-admin

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2018-11-24T14:46:45.000Z

2020-12-04T08:49:28.000Z

tests/artist_app/apps.py

moshthepitt/django-vega-admin

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2018-11-17T11:34:35.000Z

2020-06-26T11:27:01.000Z

tests/artist_app/apps.py

moshthepitt/django-vega-admin

865774e51b3a2c2df81fec1f212acc3bdcea9eaa

[ "MIT" ]

null

from django.apps import AppConfig class AuthorAppConfig(AppConfig): name = 'author_app'

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setup.py

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[ "MIT" ]

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setup.py

sswingle/plotille

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[ "MIT" ]

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setup.py

sswingle/plotille

9b00815b129d46613f86befa93f798397ca087c0

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from setuptools import setup, find_packages setup( name='plotille', version='3.7.3', packages=find_packages(include=['plotille', 'plotille.*']) )

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Python

robotdocs/robotdocsconf.py

beleki/crl-remotescript

b7222e2eb0fcd1e03b8ed6052c053bcc57a3649e

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robotdocs/robotdocsconf.py

beleki/crl-remotescript

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robotdocs/robotdocsconf.py

beleki/crl-remotescript

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pyf/_carp.py

snoopyjc/pythonizer

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2022-03-13T22:08:25.000Z

pyf/_carp.py

snoopyjc/pythonizer

6b3683084f41f0aa06b1b4e652a0f00b19cceac1

[ "Artistic-2.0" ]

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2022-03-17T16:53:04.000Z

2022-03-31T23:55:24.000Z

pyf/_carp.py

snoopyjc/pythonizer

6b3683084f41f0aa06b1b4e652a0f00b19cceac1

[ "Artistic-2.0" ]

null

def _carp(*args,skip=1): """Warn with no backtrace""" if TRACEBACK: print(_longmess(*args, skip=skip), end='', file=sys.stderr) else: print(_shortmess(*args, skip=skip), end='', file=sys.stderr)

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bokeh/serve_through_api/flask_api/api_end_point.py

eshanMewantha/data-visualization

d9cdd5551092d90572e34af1ebd82af414f16aaf

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null

bokeh/serve_through_api/flask_api/api_end_point.py

eshanMewantha/data-visualization

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[ "MIT" ]

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bokeh/serve_through_api/flask_api/api_end_point.py

eshanMewantha/data-visualization

d9cdd5551092d90572e34af1ebd82af414f16aaf

[ "MIT" ]

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from flask import Flask from html_generator import get_template app = Flask(__name__) @app.route('/') def hello_bokeh(): return get_template() app.run(port=5050)

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tests/conftest.py

SohailChamadia-everestek/python-microservice

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[ "MIT" ]

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tests/conftest.py

SohailChamadia-everestek/python-microservice

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[ "MIT" ]

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tests/conftest.py

SohailChamadia-everestek/python-microservice

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[ "MIT" ]

null

# File containing all the common fixtures including the fixture for the database

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py

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setup.py

0x4ndy/ytpersist

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setup.py

0x4ndy/ytpersist

638be3c08e5fb3f8c3cab6dad090518fe10ac1d6

[ "MIT" ]

null

setup.py

0x4ndy/ytpersist

638be3c08e5fb3f8c3cab6dad090518fe10ac1d6

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from setuptools import setup setup(name='ytpersist', packages=['ytpersist'])

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py

Python

tests/functional/__init__.py

charles-cooper/Pyrseas

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2015-01-23T19:36:22.000Z

2022-03-22T13:37:30.000Z

tests/functional/__init__.py

charles-cooper/Pyrseas

2c3fcb8ffd838d80c9ae29393ab7d393f04be3b0

[ "BSD-3-Clause" ]

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2015-01-25T00:49:17.000Z

2022-02-22T22:55:11.000Z

tests/functional/__init__.py

charles-cooper/Pyrseas

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2015-04-16T00:26:35.000Z

2022-01-31T10:24:33.000Z

"""Pyrseas functional tests"""

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py

Python

webapp/extensions.py

TunedMystic/hydra

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[ "MIT" ]

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2015-03-16T03:15:20.000Z

2015-03-16T03:16:12.000Z

webapp/extensions.py

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webapp/extensions.py

TunedMystic/hydra

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[ "MIT" ]

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from __future__ import absolute_import from flask.ext.sqlalchemy import SQLAlchemy # flask-sqlalchemy db = SQLAlchemy() INSTALLED_EXTENSIONS = ( # flask-sqlalchemy db, )

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py

Python

pipeline/src/restarter/__init__.py

sawyerwatts/StopSpotDataPipeline

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[ "MIT" ]

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2020-02-19T05:25:56.000Z

2020-02-22T21:31:34.000Z

pipeline/src/restarter/__init__.py

sawyerwatts/StopSpotDataPipeline

6537d0d1779d9ffa6a3096c02f4081d659c12a0e

[ "MIT" ]

69

2020-02-20T20:30:03.000Z

2020-05-29T01:20:05.000Z

pipeline/src/restarter/__init__.py

wolakdav/TeamBeeCapstoneProject

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[ "MIT" ]

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2020-06-05T03:47:49.000Z

2020-12-21T01:17:02.000Z

from .Restarter import Restarter restarter = Restarter()

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Mundo 1/Aula07.Ex08.py

uirasiqueira/Exercicios_Python

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Mundo 1/Aula07.Ex08.py

uirasiqueira/Exercicios_Python

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[ "MIT" ]

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Mundo 1/Aula07.Ex08.py

uirasiqueira/Exercicios_Python

409b7be9cf278e3043149654de7b41be56a3d951

[ "MIT" ]

null

v = float(input('Qual o comprimento da parede em metro?')) c = v*100 m = v*1000 print('O comprimento da parede em cm é {} e em mm é {}'.format(c,m))

29.8

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eb553a3ebefa11c38121f0865b9d09d24990a5f0

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py

Python

watchmen/__init__.py

Indexical-Metrics-Measure-Advisory/watchmen-data-processor

d50b93e92868500552416997707d71720487bd77

[ "MIT" ]

null

watchmen/__init__.py

Indexical-Metrics-Measure-Advisory/watchmen-data-processor

d50b93e92868500552416997707d71720487bd77

[ "MIT" ]

null

watchmen/__init__.py

Indexical-Metrics-Measure-Advisory/watchmen-data-processor

d50b93e92868500552416997707d71720487bd77

[ "MIT" ]

null

from watchmen.common.log import log log.init() # init_connectors()

11.5

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null

0

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ebaf16fe296dee038df18de76b4bfcaeb21e5e3d

157

py

Python

Algorithms/SimpleArraySum.py

AlexJunior01/HackerRank

d6353bf47074dbb42bf511450d164ca98c70aa46

[ "MIT" ]

null

Algorithms/SimpleArraySum.py

AlexJunior01/HackerRank

d6353bf47074dbb42bf511450d164ca98c70aa46

[ "MIT" ]

null

Algorithms/SimpleArraySum.py

AlexJunior01/HackerRank

d6353bf47074dbb42bf511450d164ca98c70aa46

[ "MIT" ]

null

def simpleArraySum(ar): return sum(ar) ar_count = int(input()) ar = list(map(int, input().rstrip().split())) result = simpleArraySum(ar) print(result)

17.444444

45

0.681529

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157

4.818182

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0.301887

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0.133758

157

8

46

19.625

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0

null

1

0

1

0

null

0

1

0

4

ebba8f49b49c242502ed37bc0bf6255de31a60cd

45

py

Python

ranges.py

Tiesco789/guppe

464702a2d618e149439a9b5c763f82c5376d2c32

[ "MIT" ]

null

ranges.py

Tiesco789/guppe

464702a2d618e149439a9b5c763f82c5376d2c32

[ "MIT" ]

null

ranges.py

Tiesco789/guppe

464702a2d618e149439a9b5c763f82c5376d2c32

[ "MIT" ]

null

for num in range(10, -1, -1): print(num)

15

29

0.555556

9

45

2.777778

0.777778

0

0.117647

0.244444

45

2

30

22.5

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0

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0

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0

null

0

1

0

null

0

1

0

4

690d94f72b7b855301d7230f4b61325c4fa1a146

1,544

py

Python

primed/__init__.py

eyb1/primed

f9a1a17f74785d6e82a6e5f93fd6b08f3b9dc3e0

[ "Apache-2.0" ]

null

primed/__init__.py

eyb1/primed

f9a1a17f74785d6e82a6e5f93fd6b08f3b9dc3e0

[ "Apache-2.0" ]

null

primed/__init__.py

eyb1/primed

f9a1a17f74785d6e82a6e5f93fd6b08f3b9dc3e0

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' MMMMMMMMMNh MMMMMMMMMNd MMMM MMMMm MMMM MMMMMMMMd MMMMMMMMMN MMMMdhhMMMM MMMMdhhMMMM MMMM MMMMMs /MMMM MMMMNmmmm MMMMdhhMMMM MMMM mMMM MMMM MMMM MMMM MMMMMM-.mMMMMM MMMM MMMM MMMM MMMM mMMM MMMM MMMM MMMM MMMMMMdsMMMMMM MMMM MMMM MMMM MMMM mMMM MMMM MMMM MMMM MMMMMMMMMMMMMM MMMMNddd MMMM MMMM MMMM mMMM MMMMmdmMMMM MMMM MMMMdMMMMdMMMM MMMMNddd MMMM MMMM MMMM mMMM MMMMdMMMMm MMMM MMMM/hMMN-MMMM MMMM MMMM MMMM MMMM --NMMM MMMM/ MMMm MMMM MMMM NM MMMM MMMM MMMM MMMM MMMMNNNMMMM MMMM dMMM MMMM MMMM MMMM MMMMMNNNN MMMMNNNMMMM MMMMdhhhhh hhhh hhhh hhhh hhhh hhhh hhhhhhhhs hhhhhhhhhh MMMM MMMM MMMM MMMM KP: ######################################################################## # # # PRIMED TOOLKIT # # # ######################################################################## ''' __author__ = "Eugene Bann, Primed" __copyright__ = 'Copyright (C) 2018 Demios, Inc.' __version__ = '0.9' from cnlp import match_elements from .nlp import ireplace from .nlp import ngrams from .nlp import oxfordize from .nlp import capi from .nlp import clean from .nlp import a from .nlp import snake from .nlp import wiki_uri from .utilities import cprint

35.090909

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1,544

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1,544

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0.076923

0

null

1

0

null

0

1

0

4

69123513037dec231112c4a975a26d342679c4ab

340

py

Python

spec/python/test_imports_abs_abs.py

DarkShadow44/kaitai_struct_tests

4bb13cef82965cca66dda2eb2b77cd64e9f70a12

[ "MIT" ]

11

2018-04-01T03:58:15.000Z

2021-08-14T09:04:55.000Z

spec/python/test_imports_abs_abs.py

DarkShadow44/kaitai_struct_tests

4bb13cef82965cca66dda2eb2b77cd64e9f70a12

[ "MIT" ]

73

2016-07-20T10:27:15.000Z

2020-12-17T18:56:46.000Z

spec/python/test_imports_abs_abs.py

DarkShadow44/kaitai_struct_tests

4bb13cef82965cca66dda2eb2b77cd64e9f70a12

[ "MIT" ]

37

2016-08-15T08:25:56.000Z

2021-08-28T14:48:46.000Z

import unittest from imports_abs_abs import ImportsAbsAbs class TestImportsAbsAbs(unittest.TestCase): def test_imports_abs_abs(self): with ImportsAbsAbs.from_file('src/fixed_struct.bin') as r: self.assertEqual(r.one, 80) self.assertEqual(r.two.one, 65) self.assertEqual(r.two.two.one, 67)

28.333333

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340

4.978261

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11

67

30.909091

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null

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null

0

1

0

1

0

4

6939b1266f90ec1e1fd7ea51c4767e540525ecca

128

py

Python

waitlist/forms.py

rafaeltcell/django-waitlist-1.5

ae70f22f94564c11fce7bf0b47a014bb076f39f3

[ "MIT" ]

null

waitlist/forms.py

rafaeltcell/django-waitlist-1.5

ae70f22f94564c11fce7bf0b47a014bb076f39f3

[ "MIT" ]

null

waitlist/forms.py

rafaeltcell/django-waitlist-1.5

ae70f22f94564c11fce7bf0b47a014bb076f39f3

[ "MIT" ]

null

from django import forms class WaitlistEntryForm(forms.Form): email = forms.EmailField(label='Your email', max_length=255)

25.6

64

0.773438

17

128

5.764706

0.823529

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0.125

128

4

65

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null

0

1

0

1

0

4

15eb5b13aa3683f575e12ef0cd21982504ba5a0e

156

py

Python

geo/__init__.py

sandialabs/sibl

010cbc3fbbd14cdfa3742ec4c95100f05146dce8

[ "MIT" ]

3

2020-07-08T13:30:24.000Z

2021-11-03T22:43:40.000Z

cli/tests/__init__.py

sandialabs/sibl

010cbc3fbbd14cdfa3742ec4c95100f05146dce8

[ "MIT" ]

31

2020-02-03T15:32:43.000Z

2022-03-07T14:51:17.000Z

geo/src/bind/__init__.py

sandialabs/sibl

010cbc3fbbd14cdfa3742ec4c95100f05146dce8

[ "MIT" ]

null

# This is a blank file used to allow import from subdirectories. # Reference: https://stackoverflow.com/questions/1260792/import-a-file-from-a-subdirectory

52

90

0.801282

23

156

5.434783

0.782609

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0.049645

0.096154

156

2

91

78

0.836879

0.967949

0

null

0

null

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null

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null

0

1

0

1

0

null

0

1

0

4

c60cab82d58fd10d5b4214c83c9b82183ae34942

87

py

Python

app.py

anyric/Yummy-Recipes-Api

08e8b75e5aabee45eead44a3c949830f0dcd782d

[ "MIT" ]

null

app.py

anyric/Yummy-Recipes-Api

08e8b75e5aabee45eead44a3c949830f0dcd782d

[ "MIT" ]

17

2018-01-03T12:57:34.000Z

2018-03-21T15:04:43.000Z

app.py

anyric/Yummy-Recipes-Api

08e8b75e5aabee45eead44a3c949830f0dcd782d

[ "MIT" ]

1

2018-03-17T14:38:22.000Z

"""module to run app""" from apps import app if __name__ == '__main__': app.run()

14.5

26

0.632184

13

87

3.615385

0.769231

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0.206897

87

5

27

17.4

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null

0

1

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1

0

4

d69a10f2a3dd1c820708787c8ca82831c0952fcb

265

py

Python

htmlmth/mods/html/remove_script_tag_type.py

ZwCreatePhoton/htmlmth

74d23ca2fa53e11b2587251d2f71c8f275548182

[ "MIT" ]

null

htmlmth/mods/html/remove_script_tag_type.py

ZwCreatePhoton/htmlmth

74d23ca2fa53e11b2587251d2f71c8f275548182

[ "MIT" ]

null

htmlmth/mods/html/remove_script_tag_type.py

ZwCreatePhoton/htmlmth

74d23ca2fa53e11b2587251d2f71c8f275548182

[ "MIT" ]

null

import re from . import Mod def remove_script_tag_type(output): p = re.compile(r"(?i)(<\s*script.*\s+)(type\s*=\s*[\"'].*[\"'])(.*>)") output = re.sub(p, r"\1" + r"\3", output) return output mod_remove_script_tag_type = Mod(remove_script_tag_type)

20.384615

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3.55814

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265

12

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null

1

0

null

0

1

0

4

d6a695c55c17e91ccb50a99a6e9223f834d3592f

2,873

py

Python

DailyProgrammer/DP20150810A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

2

2020-12-23T18:59:22.000Z

2021-04-14T13:16:09.000Z

DailyProgrammer/DP20150810A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

DailyProgrammer/DP20150810A.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

""" [2015-08-10] Challenge #227 [Easy] Square Spirals https://www.reddit.com/r/dailyprogrammer/comments/3ggli3/20150810_challenge_227_easy_square_spirals/ # [](#EasyIcon) __(Easy)__: Square Spirals Take a square grid, and put a cross on the center point, like this: + + + + + + + + + + + + X + + + + + + + + + + + + The grid is 5-by-5, and the cross indicates point 1. Let's call the top-left corner location (1, 1), so the center point is at location (3, 3). Now, place another cross to the right, and trace the path: + + + + + + + + + + + + X-X + + + + + + + + + + + This second point (point 2) is now at location (4, 3). If you continually move around anticlockwise as much as you can from this point, you will form a square spiral, as this diagram shows the beginning of: + + + + + + X-X-X . | | . + X X-X . | | + X-X-X-X + + + + + Your challenge today is to do two things: convert a point number to its location on the spiral, and vice versa. # Formal Inputs and Outputs ## Input Specification On the first line, you'll be given a number **S**. This is the size of the spiral. If **S** equals 5, then the grid is a 5-by-5 grid, as shown in the demonstration above. **S** will always be an odd number. You will then be given one of two inputs on the next line: * You'll be given a single number **N** - this is the point number of a point on the spiral. * You'll be given two numbers **X** and **Y** (on the same line, separated by a space) - this is the location of a point on the spiral. ## Output Description If you're given the point number of a point, work out its location. If you're given a location, find out its point number. # Sample Inputs and Outputs ## Example 1 (Where is 8 on this spiral?) 5-4-3 | | 6 1-2 | 7-8-9 ### Input 3 8 ### Output (2, 3) ## Example 2 This corresponds to the top-left point (1, 1) in [this 7-by-7 grid](https://upload.wikimedia.org/wikipedia/commons/thumb/1/1d/Ulam_spiral_howto_all_numbers.svg/811px-Ulam_spiral_howto_all_numbers.svg.png) ### Input 7 1 1 ### Output 37 ## Example 3 ### Input 11 50 ### Output (10, 9) ## Example 4 ### Input 9 6 8 ### Output 47 If your solution can't solve the next two inputs before the heat death of the universe, don't worry. ## Example 5 Let's test how fast your solution is! ### Input 1024716039 557614022 ### Output (512353188, 512346213) ## Example 6 :D ### Input 234653477 11777272 289722 ### Output 54790653381545607 # Finally Got any cool challenge ideas? Submit them to /r/DailyProgrammer_Ideas! """ def main(): pass if __name__ == "__main__": main()

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null

0

1

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4

d6e1dbc4afff9a9562c62b37f22aeb858dfe1eb3

278

py

Python

nbtex/__init__.py

narang99/pytex

75c0a5bada8859a1ecad98305647fdbeb6cd85ce

[ "MIT" ]

1

2020-08-27T18:02:42.000Z

nbtex/__init__.py

narang99/pytex

75c0a5bada8859a1ecad98305647fdbeb6cd85ce

[ "MIT" ]

null

nbtex/__init__.py

narang99/pytex

75c0a5bada8859a1ecad98305647fdbeb6cd85ce

[ "MIT" ]

null

from nbtex.core.Ast import Var, makeVar from nbtex.Matrix import Matrix, MatrixBuilder, MatrixWithDots from nbtex.Vector import Vector, makeVector from nbtex.Dots import Dots from nbtex.platforms.jupyter import latex, platex from nbtex.Symbols import Greek, Set, Operator, Arrow

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0.111511

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6

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46.333333

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0

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true

0

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null

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1

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null

0

1

0

1

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4

d6e45a6c956ea2c36ff7f3976a1a5ac2f9950051

191

py

Python

tracing_app/adopters/apps.py

jsmera/tracing_app

d55d460f7307ea450aa6233663b80ed3347cd27f

[ "MIT" ]

null

tracing_app/adopters/apps.py

jsmera/tracing_app

d55d460f7307ea450aa6233663b80ed3347cd27f

[ "MIT" ]

null

tracing_app/adopters/apps.py

jsmera/tracing_app

d55d460f7307ea450aa6233663b80ed3347cd27f

[ "MIT" ]

null

from django.apps import AppConfig from django.utils.translation import gettext_lazy as _ class AdoptersConfig(AppConfig): name = "tracing_app.adopters" verbose_name = _("Adopters")

23.875

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7

55

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0.146597

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null

0

1

0

1

0

4

ba6c79b02311d2d291d96e83ac1e19b35270fdba

112

py

Python

webgallery/gallery/admin.py

havardox/Kooliprojekt_TA-18E_Erik_Harald

f336638292d87ebfaa8c5a769e10a25908a8f05c

[ "MIT" ]

null

webgallery/gallery/admin.py

havardox/Kooliprojekt_TA-18E_Erik_Harald

f336638292d87ebfaa8c5a769e10a25908a8f05c

[ "MIT" ]

null

webgallery/gallery/admin.py

havardox/Kooliprojekt_TA-18E_Erik_Harald

f336638292d87ebfaa8c5a769e10a25908a8f05c

[ "MIT" ]

null

from django.contrib import admin from gallery.models import UserProfile, User admin.site.register(UserProfile)

22.4

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112

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0.098214

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null

0

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4

ba7bed44868436c12636c34efba55e09e88d533c

140

py

Python

config.py

panubo/buildids

c35134b4af64dc5adda37e7f97d53b1e86c18766

[ "MIT" ]

null

config.py

panubo/buildids

c35134b4af64dc5adda37e7f97d53b1e86c18766

[ "MIT" ]

null

config.py

panubo/buildids

c35134b4af64dc5adda37e7f97d53b1e86c18766

[ "MIT" ]

null

import os STORAGE_PATH = os.getenv('STORAGE_PATH', '') DEBUG = bool(os.environ.get('DEBUG', 'False').lower() in ("true", "yes", "t", "1"))

28

83

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140

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1

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1

0

null

0

1

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4

bacb52cc05edda11dce7fd95bf66f5dc8c264da6

343

py

Python

holdout_sgd/_average.py

aprilpear/holdout-sgd

fa81bce57fb98aef262536fb2d7a26567d3143f7

[ "BSD-2-Clause" ]

5

2020-04-06T07:41:42.000Z

2020-11-30T02:15:20.000Z

holdout_sgd/_average.py

aprilpear/holdout-sgd

fa81bce57fb98aef262536fb2d7a26567d3143f7

[ "BSD-2-Clause" ]

null

holdout_sgd/_average.py

aprilpear/holdout-sgd

fa81bce57fb98aef262536fb2d7a26567d3143f7

[ "BSD-2-Clause" ]

2

2020-06-21T13:35:13.000Z

2020-09-01T02:53:17.000Z

import torch import numpy as np from functools import reduce def get_average_gradients(participants): g_array = [p.get_gradients() for p in participants] return torch.mean(torch.stack(g_array), dim=0) def get_std_gradients(participants): g_array = [p.get_gradients() for p in participants] return torch.std(torch.stack(g_array), dim=0)

26.384615

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0.781341

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343

4.607143

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null

0

1

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1

0

4

baccb6816ec40cfef7ee90ba3d603e581eadb797

86

py

Python

src/pyaid/tests/__init__.py

jddecarlo/pyaid

c9ff224ece4fd890be2355991309179ee8a6a5bd

[ "MIT" ]

null

src/pyaid/tests/__init__.py

jddecarlo/pyaid

c9ff224ece4fd890be2355991309179ee8a6a5bd

[ "MIT" ]

null

src/pyaid/tests/__init__.py

jddecarlo/pyaid

c9ff224ece4fd890be2355991309179ee8a6a5bd

[ "MIT" ]

null

"""Initializes the pyaid.tests module. Add any necessary initialization code here."""

43

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0

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1

86

0.881579

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0

null

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null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

bad9d5ce3f98b82e256c12a1e09ed9a4929c1103

353

py

Python

tests/beta_tests/test_parse_float.py

the-zebulan/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

40

2016-03-09T12:26:20.000Z

2022-03-23T08:44:51.000Z

tests/beta_tests/test_parse_float.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

null

tests/beta_tests/test_parse_float.py

akalynych/CodeWars

1eafd1247d60955a5dfb63e4882e8ce86019f43a

[ "MIT" ]

36

2016-11-07T19:59:58.000Z

2022-03-31T11:18:27.000Z

import unittest from katas.beta.parse_float import parse_float class ParseFloatTestCase(unittest.TestCase): def test_equal_1(self): self.assertEqual(parse_float('1.0'), 1.0) def test_equal_2(self): self.assertEqual(parse_float('234.0234'), 234.0234) def test_is_none_1(self): self.assertIsNone(parse_float('a'))

23.533333

59

0.711048

51

353

4.686275

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0.209205

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353

14

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25.214286

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0

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0

0.333333

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0

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1

0

1

0

null

0

1

0

1

0

4

bae281bccdae5f0342f0dd9704bd338a3bb51916

246

py

Python

bin/ominoes/pentominoes-plus-square-tetromino-8x8.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/ominoes/pentominoes-plus-square-tetromino-8x8.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

null

bin/ominoes/pentominoes-plus-square-tetromino-8x8.py

tiwo/puzzler

7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e

[ "Intel" ]

1

2022-01-02T16:54:14.000Z

#!/usr/bin/env python # $Id$ """ 8x8 grid with pentominoes plus 2x2 square tetromino. 16146 solutions """ import puzzler from puzzler.puzzles.pentominoes import PentominoesPlusSquareTetromino8x8 puzzler.run(PentominoesPlusSquareTetromino8x8)

17.571429

73

0.808943

26

246

7.653846

0.807692

0

0.059361

0.109756

246

13

74

18.923077

0.849315

0.386179

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

1

0

4

244050cdcb2a818b9e4b404a7bb50bccdcd3c651

277

py

Python

authors/apps/articles/migrations/0018_merge_20190123_1319.py

andela/Ah-backend-guardians

cc84c18f7c222bc69cf4a263a1c2296b6d335c8b

[ "BSD-3-Clause" ]

null

authors/apps/articles/migrations/0018_merge_20190123_1319.py

andela/Ah-backend-guardians

cc84c18f7c222bc69cf4a263a1c2296b6d335c8b

[ "BSD-3-Clause" ]

32

2019-01-09T07:52:32.000Z

2022-01-13T01:01:55.000Z

authors/apps/articles/migrations/0018_merge_20190123_1319.py

andela/Ah-backend-guardians

cc84c18f7c222bc69cf4a263a1c2296b6d335c8b

[ "BSD-3-Clause" ]

3

2019-01-03T12:05:53.000Z

2019-09-24T11:41:14.000Z

# Generated by Django 2.1.5 on 2019-01-23 13:19 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('articles', '0017_merge_20190123_1105'), ('articles', '0017_merge_20190123_0856'), ] operations = [ ]

18.466667

49

0.65343

33

277

5.30303

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0.137143

0.194286

0.285714

0

0.219626

0.227437

277

14

50

19.785714

0.598131

0.162455

0

1

0

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0

1

0

false

0

0.125

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0.5

0

null

0

1

0

1

0

1

0

null

0

4

244218d2153b7377b1f2fec1139e1e09771d1d43

1,311

py

Python

tests/t_cli/t_commands/test_version.py

gitter-badger/xobox

5278774f4dea55c54fa06803326bfbb9355caf47

[ "MIT" ]

null

tests/t_cli/t_commands/test_version.py

gitter-badger/xobox

5278774f4dea55c54fa06803326bfbb9355caf47

[ "MIT" ]

null

tests/t_cli/t_commands/test_version.py

gitter-badger/xobox

5278774f4dea55c54fa06803326bfbb9355caf47

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ tests.t_cli.t_commands.test_version ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ :copyright: Copyright 2017 by the Stormrose Project team, see AUTHORS. :license: MIT License, see LICENSE for details. """ from unittest import TestCase from xobox.cli.base import BaseCommand from xobox.cli.commands.version import VersionCommand class TestXoboxCliCommandsVersion(TestCase): """ Unit tests for :py:mod:`xobox.cli.commands.version` """ def test_01(self): """ Test Case 01: Check if :py:class:`~xobox.cli.commands.version.VersionCommand` is a subclass of :py:class:`~xobox.cli.commands.base.BaseCommand`. Test is passed if :py:class:`~xobox.cli.commands.version.VersionCommand` is a subclass of :py:class:`~xobox.cli.commands.base.BaseCommand`. """ self.assertTrue(issubclass(VersionCommand, BaseCommand)) def test_02(self): """ Test Case 02: Try creating an instance of :py:class:`~xobox.cli.commands.version.VersionCommand`. Test is passed if instance proves being an instance of :py:class:`~xobox.cli.commands.version.VersionCommand`. """ obj = VersionCommand() self.assertIsInstance(obj, VersionCommand)

31.214286

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0.640732

152

1,311

5.493421

0.375

0.086228

0.153293

0.165269

0.366467

0

0.012745

0.221968

1,311

41

98

31.97561

0.805882

0.580473

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0.222222

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0.222222

false

0

0.333333

0

0.666667

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null

0

1

0

null

0

1

0

1

0

1

0

4

245fb26285ee03c03f2dedd95c6d461c318acefc

212

py

Python

services/director-v2/src/simcore_service_director_v2/main.py

colinRawlings/osparc-simcore

bf2f18d5bc1e574d5f4c238d08ad15156184c310

[ "MIT" ]

25

2018-04-13T12:44:12.000Z

2022-03-12T15:01:17.000Z

services/director-v2/src/simcore_service_director_v2/main.py

colinRawlings/osparc-simcore

bf2f18d5bc1e574d5f4c238d08ad15156184c310

[ "MIT" ]

2,553

2018-01-18T17:11:55.000Z

2022-03-31T16:26:40.000Z

services/director-v2/src/simcore_service_director_v2/main.py

mrnicegyu11/osparc-simcore

b6fa6c245dbfbc18cc74a387111a52de9b05d1f4

[ "MIT" ]

20

2018-01-18T19:45:33.000Z

2022-03-29T07:08:47.000Z

"""Main application to be deployed in for example uvicorn. """ from fastapi import FastAPI from simcore_service_director_v2.core.application import init_app # SINGLETON FastAPI app the_app: FastAPI = init_app()

26.5

65

0.806604

31

212

5.322581

0.677419

0.084848

0

0.005405

0.127358

212

7

66

30.285714

0.886486

0.367925

0

1

0

true

0

0.666667

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

1

0

4

030a75b3f5dc51f5a4c5839a336ff4a2a648c615

114

py

Python

src/bike_classifier_whisk_0_1_21/__init__.py

AdamBarnhard/bike_classifier_whisk_0_1_21

46c09d164853a5207861454e21a905d4e401608d

[ "MIT" ]

1

2021-11-12T03:41:36.000Z

src/bike_classifier_whisk_0_1_21/__init__.py

AdamBarnhard/bike_classifier_whisk_0_1_21

46c09d164853a5207861454e21a905d4e401608d

[ "MIT" ]

8

2020-05-12T22:27:31.000Z

2022-03-12T00:29:34.000Z

src/bike_classifier_whisk_0_1_21/__init__.py

AdamBarnhard/bike_classifier_whisk_0_1_21

46c09d164853a5207861454e21a905d4e401608d

[ "MIT" ]

null

from os.path import realpath from whisk.project import Project project = Project.from_module(realpath(__file__))

22.8

49

0.824561

16

114

5.5625

0.5625

0.314607

0

0.105263

114

4

50

28.5

0.872549

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

4

030a803b9ccb78e61dc625acc9873a37672e5299

1,043

py

Python

sdk/python/pulumi_azure_native/aad/__init__.py

sebtelko/pulumi-azure-native

711ec021b5c73da05611c56c8a35adb0ce3244e4

[ "Apache-2.0" ]

null

sdk/python/pulumi_azure_native/aad/__init__.py

sebtelko/pulumi-azure-native

711ec021b5c73da05611c56c8a35adb0ce3244e4

[ "Apache-2.0" ]

null

sdk/python/pulumi_azure_native/aad/__init__.py

sebtelko/pulumi-azure-native

711ec021b5c73da05611c56c8a35adb0ce3244e4

[ "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from .. import _utilities import typing # Export this package's modules as members: from ._enums import * from .domain_service import * from .get_domain_service import * from .get_ou_container import * from .ou_container import * from ._inputs import * from . import outputs # Make subpackages available: if typing.TYPE_CHECKING: import pulumi_azure_native.aad.v20170101 as v20170101 import pulumi_azure_native.aad.v20170601 as v20170601 import pulumi_azure_native.aad.v20200101 as v20200101 import pulumi_azure_native.aad.v20210301 as v20210301 else: v20170101 = _utilities.lazy_import('pulumi_azure_native.aad.v20170101') v20170601 = _utilities.lazy_import('pulumi_azure_native.aad.v20170601') v20200101 = _utilities.lazy_import('pulumi_azure_native.aad.v20200101') v20210301 = _utilities.lazy_import('pulumi_azure_native.aad.v20210301')

37.25

80

0.782359

143

1,043

5.468531

0.405594

0.122762

0.173913

0.235294

0.491049

0.424552

0.199488

0

0.143333

0.137105

1,043

27

81

38.62963

0.725556

0.221477

0

1

0

0.163975

0

1

0

false

0

0.894737

0

0.894737

0

null

0

1

0

1

0

null

0

1

0

1

0

4

0326f46df6db48bed085fa1bf976c6be25bfca27

50

py

Python

manim/utils/exceptions.py

philschatz/manim

e3359a571d9a02a08979b3e037ddada3e874eb7c

[ "MIT" ]

2

2020-07-17T19:59:51.000Z

2020-10-14T16:38:23.000Z

manim/utils/exceptions.py

philschatz/manim

e3359a571d9a02a08979b3e037ddada3e874eb7c

[ "MIT" ]

3

2021-04-28T14:44:39.000Z

2021-04-28T15:32:43.000Z

manim/utils/exceptions.py

philschatz/manim

e3359a571d9a02a08979b3e037ddada3e874eb7c

[ "MIT" ]

1

2021-02-09T08:04:03.000Z

class EndSceneEarlyException(Exception): pass

16.666667

40

0.8

4

50

10

1

0

0.14

50

2

41

25

0.930233

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

033281b8c4686a20a0e2d87913fd9f24160aa59f

232

py

Python

game/routing.py

BlackwoodOne/Storytelling2.0

6a75045ced8711f52e568290b4b6b0d546434d7b

[ "MIT" ]

1

2018-07-20T20:17:47.000Z

game/routing.py

BlackwoodOne/Storytelling2.0

6a75045ced8711f52e568290b4b6b0d546434d7b

[ "MIT" ]

null

game/routing.py

BlackwoodOne/Storytelling2.0

6a75045ced8711f52e568290b4b6b0d546434d7b

[ "MIT" ]

null

from django.conf.urls import url from . import consumers websocket_urlpatterns = [ url(r'^ws/lobby/(?P<game_id>[^/]+)/$', consumers.NewPlayerConsumer), url(r'^ws/collect/(?P<game_id>[^/]+)/$', consumers.CollectConsumer), ]

29

72

0.676724

29

232

5.310345

0.62069

0.051948

0.077922

0.207792

0

0.107759

232

8

73

29

0.743961

0

0.266094

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

4

033fbcd682a52321856e020e86fc563b5fc89129

85

py

Python

Anandks.py

Anandks07/fossotober

b446426b3f3aca85caac66445a781d4fa56f659b

[ "MIT" ]

null

Anandks.py

Anandks07/fossotober

b446426b3f3aca85caac66445a781d4fa56f659b

[ "MIT" ]

null

Anandks.py

Anandks07/fossotober

b446426b3f3aca85caac66445a781d4fa56f659b

[ "MIT" ]

1

2020-10-01T04:45:44.000Z

print("Anand K S") print("AM.EN.U4CSE19106") print("S1 CSE B") print("Marvel rockz")

17

25

0.682353

15

85

3.866667

0.8

0

0.092105

0.105882

85

4

26

21.25

0.671053

0

0.529412

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

4

0357c515eba098c6f19d17b59a3435d89dd69ba9

131

py

Python

config_1.py

NormanLo4319/ETL-Project

de792d98d112e51a55fa29a4654fb386c3b67b79

[ "MIT" ]

1

2020-07-19T07:09:59.000Z

config_1.py

NormanLo4319/ETL-Project

de792d98d112e51a55fa29a4654fb386c3b67b79

[ "MIT" ]

null

config_1.py

NormanLo4319/ETL-Project

de792d98d112e51a55fa29a4654fb386c3b67b79

[ "MIT" ]

null

#!/usr/bin/env python # coding: utf-8 # In[ ]: # Yelp Key ID = "Enter Your Yelp ID Here" ykey = "Enter your Yelp API Key Here"

11.909091

37

0.625954

23

131

3.565217

0.695652

0.219512

0.317073

0

0.009901

0.229008

131

10

38

13.1

0.80198

0.381679

0

0.671053

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

03601f7dfbd8374adbad70a6f3e1cefdca05eac7

1,134

py

Python

PYTHON POO AULAS/Aula002-Init e Self.py

lucasjlgc/Python-POO

56c98e7abb47a0268396f1981e58a0a2441db4fe

[ "MIT" ]

null

PYTHON POO AULAS/Aula002-Init e Self.py

lucasjlgc/Python-POO

56c98e7abb47a0268396f1981e58a0a2441db4fe

[ "MIT" ]

null

PYTHON POO AULAS/Aula002-Init e Self.py

lucasjlgc/Python-POO

56c98e7abb47a0268396f1981e58a0a2441db4fe

[ "MIT" ]

null

"""#CLASSES, MÉTODOS E SELF""" """ 1 -Classes são abstrações e descrevem como os dados serão representados e manipulados. Em Python, todos os tipos nativos também são classes. Por exemplo, o tipo int é uma classe do Python, que permite representar números inteiros e realizar operações como soma, subtração, multiplicação, etc., com objetos inteiros 2- Método __init__: É um método, que por definição, é executada sempre que instanciamos(Criamos) um objeto. E método é o mesmo que função, mas função interna de uma classe, que só existe e atua nos seus objetos. Ela só é vista fora do escopo do objeto se o programador desejar. 3- SELF: É esse parametro onde em cada objeto, específica e unicamente, que os métodos vão atuar, e é por isso que o método self é necessário em cada método de uma classe. Pode criar 1 trilhão de objetos de uma mesma classe. Mas o self se refere aquele objeto específico, ok ?""" class Carro: portas = 3 def __init__(self): print("Carro criado") def exibePortas(self): return self.portas veloster = Carro() print("Numero de portas:", veloster.exibePortas())

37.8

106

0.740741

179

1,134

4.648045

0.547486

0.032452

0.026442

0

0.005495

0.197531

1,134

29

107

39.103448

0.908791

0.021164

0

0.13615

0

0.206897

0

1

0.25

false

0

0.125

0.625

0.25

0

null

0

null

0

1

0

1

0

1

0

4

0375bcf0514c864c9aa3fbc1e36aa20c31ba345f

1,688

py

Python

tests/test_doc_methods.py

ybibaev/monypy

f1ad4b9e67f48a8b73aa74eb05113f1fc01f3a04

[ "MIT" ]

6

2018-04-29T17:56:18.000Z

2019-03-18T20:05:19.000Z

tests/test_doc_methods.py

ddstte/monypy

f1ad4b9e67f48a8b73aa74eb05113f1fc01f3a04

[ "MIT" ]

null

tests/test_doc_methods.py

ddstte/monypy

f1ad4b9e67f48a8b73aa74eb05113f1fc01f3a04

[ "MIT" ]

2

2018-04-29T19:30:30.000Z

2018-04-30T07:28:41.000Z

import pytest from monypy.doc import MONGODB_ID_KEY from monypy.exceptions import DocumentDoesNotExist @pytest.mark.asyncio async def test_save(empty_doc): empty = empty_doc() assert MONGODB_ID_KEY not in empty await empty.save() assert MONGODB_ID_KEY in empty assert 1 == await empty_doc.documents.count({}) @pytest.mark.asyncio async def test_save_two(empty_doc): empty = empty_doc() await empty.save() empty.test = 'test' await empty.save() assert MONGODB_ID_KEY in empty assert 1 == await empty_doc.documents.count({}) @pytest.mark.asyncio async def test_refresh(empty_doc): empty = empty_doc() await empty.save() empty.test = 'test' await empty.refresh() assert MONGODB_ID_KEY in empty assert 'test' not in empty assert 1 == await empty_doc.documents.count({}) @pytest.mark.asyncio async def test_refresh_not_saved(empty_doc): empty = empty_doc() with pytest.raises(DocumentDoesNotExist): await empty.refresh() assert MONGODB_ID_KEY not in empty @pytest.mark.asyncio async def test_save_nested_and_refresh(empty_doc): empty = empty_doc(test={'test': 'test'}) await empty.save() await empty.refresh() assert not isinstance(empty['test'], empty_doc) @pytest.mark.asyncio async def test_delete(empty_doc): empty = empty_doc() await empty.save() await empty.delete() assert 0 == await empty_doc.documents.count({}) @pytest.mark.asyncio async def test_delete_not_saved(empty_doc): empty = empty_doc() with pytest.raises(DocumentDoesNotExist): await empty.delete() assert 0 == await empty_doc.documents.count({})

20.095238

51

0.706754

235

1,688

4.876596

0.144681

0.139616

0.103839

0.13438

0.864747

0.818499

0.794066

0.609075

0.578534

0

0.003666

0.191943

1,688

83

52

20.337349

0.83651

0

0.745098

0

0.014218

0

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1

0

false

0

0.058824

0

0.058824

0

null

0

1

0

1

0

null

0

4

cee82b18b29f2116c803c97832c8ecdddb422c2b

219

py

Python

pysal/esda/__init__.py

cubensys/pysal

8d50990f6e6603ba79ae1a887a20a1e3a0734e51

[ "MIT", "BSD-3-Clause" ]

null

pysal/esda/__init__.py

cubensys/pysal

8d50990f6e6603ba79ae1a887a20a1e3a0734e51

[ "MIT", "BSD-3-Clause" ]

null

pysal/esda/__init__.py

cubensys/pysal

8d50990f6e6603ba79ae1a887a20a1e3a0734e51

[ "MIT", "BSD-3-Clause" ]

1

2021-07-19T01:46:17.000Z

""" :mod:`esda` --- Exploratory Spatial Data Analysis ================================================= """ import mapclassify import moran import smoothing import getisord import geary import join_counts import gamma

16.846154

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0

null

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1

0

1

0

1

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4

cef3feb1057b8e9fd39195e65ff7055924e2f158

313

py

Python

ambra_sdk/service/entrypoints/radreport.py

dicomgrid/sdk-python

bb12eed311bad73dfb863917df4dc5cbcd91a447

[ "Apache-2.0" ]

9

2020-04-20T23:45:44.000Z

2021-04-18T11:22:17.000Z

ambra_sdk/service/entrypoints/radreport.py

dicomgrid/sdk-python

bb12eed311bad73dfb863917df4dc5cbcd91a447

[ "Apache-2.0" ]

13

2020-02-08T16:15:05.000Z

2021-09-13T22:55:28.000Z

ambra_sdk/service/entrypoints/radreport.py

dicomgrid/sdk-python

bb12eed311bad73dfb863917df4dc5cbcd91a447

[ "Apache-2.0" ]

6

2020-03-25T17:47:45.000Z

2021-04-18T11:22:19.000Z

from ambra_sdk.service.entrypoints.generated.radreport import \ AsyncRadreport as GAsyncRadreport from ambra_sdk.service.entrypoints.generated.radreport import \ Radreport as GRadreport class Radreport(GRadreport): """Radreport.""" class AsyncRadreport(GAsyncRadreport): """AsyncRadreport."""

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1

0

1

0

1

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4

cef45bde41045314a30b35154bd419b342357e43

119

py

Python

tezos_etl/setup.py

ankitchiplunkar/tezos-etl

c74eca68e42825fddecbd78afd2e68d84e559680

[ "MIT" ]

3

2020-03-24T15:26:16.000Z

2020-06-17T12:47:35.000Z

tezos_etl/setup.py

ankitchiplunkar/tezos-etl

c74eca68e42825fddecbd78afd2e68d84e559680

[ "MIT" ]

null

tezos_etl/setup.py

ankitchiplunkar/tezos-etl

c74eca68e42825fddecbd78afd2e68d84e559680

[ "MIT" ]

null

from distutils.core import setup setup(name='tezos_etl', version='0.1', py_modules=['tezos_etl'], )

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null

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0

1

0

null

0

1

0

4

cefbb752879de51f5128afc0b66a6798ad1b15fa

234

py

Python

src/tests/test_library.py

ttafsir/rf-network

7c9eef35dcb35823d151cdfdce96713af4023579

[ "MIT" ]

null

src/tests/test_library.py

ttafsir/rf-network

7c9eef35dcb35823d151cdfdce96713af4023579

[ "MIT" ]

null

src/tests/test_library.py

ttafsir/rf-network

7c9eef35dcb35823d151cdfdce96713af4023579

[ "MIT" ]

null

from pluggy import PluginManager from rf_network.library import NetworkTransportLibrary class TestLibrary: def test_create_library(self): lib = NetworkTransportLibrary() assert isinstance(lib.pm, PluginManager)

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null

0

1

0

1

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4

cefc1f9d5c17a1452f56a88099096f8d97ca14c6

121

py

Python

blitzcrank/__init__.py

samhine/blitzcrank

340898e9a8dfeedba747adb2a94c5b76687f7f11

[ "MIT" ]

null

blitzcrank/__init__.py

samhine/blitzcrank

340898e9a8dfeedba747adb2a94c5b76687f7f11

[ "MIT" ]

null

blitzcrank/__init__.py

samhine/blitzcrank

340898e9a8dfeedba747adb2a94c5b76687f7f11

[ "MIT" ]

null

from blitzcrank.Blitzcrank import Blitzcrank from .apis import champion, champion_mastery, item, league, match, summoner

40.333333

75

0.834711

15

121

6.666667

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60.5

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true

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null

0

1

0

1

0

4

3041812a441311f4f0512686d0abf67de27a985f

136

py

Python

mundo 1/ex016.py

thiagofreitascarneiro/Curso-de-Python---Curso-em-Video

0342e482780b5a1c6f78cddd51d9bfad785c79fa

[ "MIT" ]

1

2021-08-04T13:21:22.000Z

mundo 1/ex016.py

thiagofreitascarneiro/Curso-de-Python---Curso-em-Video

0342e482780b5a1c6f78cddd51d9bfad785c79fa

[ "MIT" ]

null

mundo 1/ex016.py

thiagofreitascarneiro/Curso-de-Python---Curso-em-Video

0342e482780b5a1c6f78cddd51d9bfad785c79fa

[ "MIT" ]

null

import math value = float(input("Digite um valor:")) print(f'O valor digitado foi {value} e a sua porção inteira é {math.trunc(value)}')

45.333333

83

0.727941

24

136

4.125

0.833333

0

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136

3

83

45.333333

0.838983

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false

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1

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1

0

null

0

1

0

4

06410df1a75b0e7f9b5721681799019949e270ab

281

py

Python

exercises/ja/exc_01_03_02.py

Jette16/spacy-course

32df0c8f6192de6c9daba89740a28c0537e4d6a0

[ "MIT" ]

2,085

2019-04-17T13:10:40.000Z

2022-03-30T21:51:46.000Z

exercises/ja/exc_01_03_02.py

Jette16/spacy-course

32df0c8f6192de6c9daba89740a28c0537e4d6a0

[ "MIT" ]

79

2019-04-18T14:42:55.000Z

2022-03-07T08:15:43.000Z

exercises/ja/exc_01_03_02.py

Jette16/spacy-course

32df0c8f6192de6c9daba89740a28c0537e4d6a0

[ "MIT" ]

361

2019-04-17T13:34:32.000Z

2022-03-28T04:42:45.000Z

# 日本語クラスをインポートし、nlpオブジェクトを作成 from ____ import ____ nlp = ____ # テキストを処理 doc = ____("私はツリーカンガルーとイルカが好きです。") # 「ツリーカンガルー」のスライスを選択 tree_kangaroos = ____ print(tree_kangaroos.text) # 「ツリーカンガルーとイルカ」のスライスを選択 tree_kangaroos_and_dolphins = ____ print(tree_kangaroos_and_dolphins.text)

17.5625

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0.807829

28

281

6.964286

0.607143

0.266667

0.215385

0.246154

0

0.106762

281

15

40

18.733333

0.776892

0.270463

0

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0

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0

0.142857

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0.142857

0.285714

1

0

null

1

0

null

0

4

0655875b30e82c98f51c0a36395f1015dc1c8753

245

py

Python

signals/signals/apps/relation/api_v1/views.py

gonzaloamadio/django-signals2

809d1c0b627f5ec68e7bc4f73fdc7de7e7545706

[ "MIT" ]

null

signals/signals/apps/relation/api_v1/views.py

gonzaloamadio/django-signals2

809d1c0b627f5ec68e7bc4f73fdc7de7e7545706

[ "MIT" ]

null

signals/signals/apps/relation/api_v1/views.py

gonzaloamadio/django-signals2

809d1c0b627f5ec68e7bc4f73fdc7de7e7545706

[ "MIT" ]

null

from signals.apps.relation import models from . import serializers from signals.libs.views import APIViewSet class RelationViewSet(APIViewSet): queryset = models.Relation.objects.all() serializer_class = serializers.RelationSerializer

27.222222

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245

7.333333

0.62963

0.111111

0

0.122449

245

8

54

30.625

0.92093

0

1

0

false

0

0.5

0

1

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1

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null

0

1

0

null

0

1

0

1

0

4

06601386e30fd121ec6928beb8d8b1ca5e272441

6,363

py

Python

tests/contrib/networks/tf_networks/supported.py

nicolay-r/AREk

19c39ec0dc9a17464cade03b9c4da0c6d1d21191

[ "MIT" ]

18

2019-12-14T18:43:11.000Z

2022-03-21T05:55:36.000Z

tests/contrib/networks/tf_networks/supported.py

nicolay-r/AREk

19c39ec0dc9a17464cade03b9c4da0c6d1d21191

[ "MIT" ]

284

2020-08-08T20:52:44.000Z

2022-03-31T05:26:20.000Z

tests/contrib/networks/tf_networks/supported.py

nicolay-r/AREk

19c39ec0dc9a17464cade03b9c4da0c6d1d21191

[ "MIT" ]

1

2021-08-07T13:17:43.000Z

from arekit.contrib.networks.context.architectures.att_ef_bilstm import AttentionEndsAndFramesBiLSTM from arekit.contrib.networks.context.architectures.att_ef_cnn import AttentionEndsAndFramesCNN from arekit.contrib.networks.context.architectures.att_ef_pcnn import AttentionEndsAndFramesPCNN from arekit.contrib.networks.context.architectures.att_ends_cnn import AttentionEndsCNN from arekit.contrib.networks.context.architectures.att_frames_bilstm import AttentionFramesBiLSTM from arekit.contrib.networks.context.architectures.att_frames_cnn import AttentionFramesCNN from arekit.contrib.networks.context.architectures.att_se_bilstm import AttentionSynonymEndsBiLSTM from arekit.contrib.networks.context.architectures.att_se_cnn import AttentionSynonymEndsCNN from arekit.contrib.networks.context.architectures.att_self_p_zhou_bilstm import AttentionSelfPZhouBiLSTM from arekit.contrib.networks.context.architectures.att_self_p_zhou_rcnn import AttentionSelfPZhouRCNN from arekit.contrib.networks.context.architectures.att_self_z_yang_bilstm import AttentionSelfZYangBiLSTM from arekit.contrib.networks.context.architectures.att_self_z_yang_rcnn import AttentionSelfZYangRCNN from arekit.contrib.networks.context.architectures.bilstm import BiLSTM from arekit.contrib.networks.context.architectures.ian_ef import IANEndsAndFrames from arekit.contrib.networks.context.architectures.ian_ends import IANEndsBased from arekit.contrib.networks.context.architectures.ian_frames import IANFrames from arekit.contrib.networks.context.architectures.ian_se import IANSynonymEndsBased from arekit.contrib.networks.context.architectures.att_ends_pcnn import AttentionEndsPCNN from arekit.contrib.networks.context.architectures.att_frames_pcnn import AttentionFramesPCNN from arekit.contrib.networks.context.architectures.att_se_pcnn import AttentionSynonymEndsPCNN from arekit.contrib.networks.context.architectures.pcnn import PiecewiseCNN from arekit.contrib.networks.context.architectures.rcnn import RCNN from arekit.contrib.networks.context.architectures.self_att_bilstm import SelfAttentionBiLSTM from arekit.contrib.networks.context.configurations.att_ef_bilstm import AttentionEndsAndFramesBiLSTMConfig from arekit.contrib.networks.context.configurations.att_ef_cnn import AttentionEndsAndFramesCNNConfig from arekit.contrib.networks.context.configurations.att_ef_pcnn import AttentionEndsAndFramesPCNNConfig from arekit.contrib.networks.context.configurations.att_self_p_zhou_bilstm import AttentionSelfPZhouBiLSTMConfig from arekit.contrib.networks.context.configurations.att_ends_cnn import AttentionEndsCNNConfig from arekit.contrib.networks.context.configurations.bilstm import BiLSTMConfig from arekit.contrib.networks.context.configurations.att_ends_pcnn import AttentionEndsPCNNConfig from arekit.contrib.networks.context.configurations.att_frames_bilstm import AttentionFramesBiLSTMConfig from arekit.contrib.networks.context.configurations.att_frames_cnn import AttentionFramesCNNConfig from arekit.contrib.networks.context.configurations.att_frames_pcnn import AttentionFramesPCNNConfig from arekit.contrib.networks.context.configurations.att_self_p_zhou_rcnn import AttentionSelfPZhouRCNNConfig from arekit.contrib.networks.context.configurations.att_self_z_yang_bilstm import AttentionSelfZYangBiLSTMConfig from arekit.contrib.networks.context.configurations.att_se_bilstm import AttentionSynonymEndsBiLSTMConfig from arekit.contrib.networks.context.configurations.att_se_cnn import AttentionSynonymEndsCNNConfig from arekit.contrib.networks.context.configurations.att_se_pcnn import AttentionSynonymEndsPCNNConfig from arekit.contrib.networks.context.configurations.att_self_z_yang_rcnn import AttentionSelfZYangRCNNConfig from arekit.contrib.networks.context.configurations.ian_ef import IANEndsAndFramesConfig from arekit.contrib.networks.context.configurations.ian_ends import IANEndsBasedConfig from arekit.contrib.networks.context.configurations.ian_se import IANSynonymEndsBasedConfig from arekit.contrib.networks.context.configurations.ian_frames import IANFramesConfig from arekit.contrib.networks.context.configurations.rcnn import RCNNConfig from arekit.contrib.networks.context.configurations.rnn import RNNConfig from arekit.contrib.networks.context.configurations.self_att_bilstm import SelfAttentionBiLSTMConfig from arekit.contrib.networks.context.configurations.cnn import CNNConfig from arekit.contrib.networks.context.architectures.cnn import VanillaCNN from arekit.contrib.networks.context.architectures.rnn import RNN def get_supported(): return [# Self-attention (SelfAttentionBiLSTMConfig(), SelfAttentionBiLSTM()), (AttentionSelfPZhouBiLSTMConfig(), AttentionSelfPZhouBiLSTM()), (AttentionSelfZYangBiLSTMConfig(), AttentionSelfZYangBiLSTM()), # CNN based (CNNConfig(), VanillaCNN()), (CNNConfig(), PiecewiseCNN()), # RNN-based (RNNConfig(), RNN()), (BiLSTMConfig(), BiLSTM()), # RCNN-based models (Recurrent-CNN) (RCNNConfig(), RCNN()), (AttentionSelfPZhouRCNNConfig(), AttentionSelfPZhouRCNN()), (AttentionSelfZYangRCNNConfig(), AttentionSelfZYangRCNN()), # IAN (Interactive attention networks) (IANFramesConfig(), IANFrames()), (IANEndsAndFramesConfig(), IANEndsAndFrames()), (IANEndsBasedConfig(), IANEndsBased()), (IANSynonymEndsBasedConfig(), IANSynonymEndsBased()), # MLP-Attention-based (AttentionEndsAndFramesBiLSTMConfig(), AttentionEndsAndFramesBiLSTM()), (AttentionFramesBiLSTMConfig(), AttentionFramesBiLSTM()), (AttentionSynonymEndsBiLSTMConfig(), AttentionSynonymEndsBiLSTM()), (AttentionEndsAndFramesPCNNConfig(), AttentionEndsAndFramesPCNN()), [AttentionEndsAndFramesCNNConfig(), AttentionEndsAndFramesCNN()], (AttentionEndsCNNConfig(), AttentionEndsCNN()), (AttentionEndsPCNNConfig(), AttentionEndsPCNN()), (AttentionSynonymEndsPCNNConfig(), AttentionSynonymEndsPCNN()), (AttentionSynonymEndsCNNConfig(), AttentionSynonymEndsCNN()), (AttentionFramesCNNConfig(), AttentionFramesCNN()), (AttentionFramesPCNNConfig(), AttentionFramesPCNN())]

71.494382

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0.309998

0.088958

0

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1

0

1

0

1

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4

ebf3204a06e90e8bf0612f775abcb25f8f0dd47b

133

py

Python

ex07.py

ScottDig/Practice-Python-Exercises

3d89a61888c780b6df30e4f294a4468937612954

[ "MIT" ]

null

ex07.py

ScottDig/Practice-Python-Exercises

3d89a61888c780b6df30e4f294a4468937612954

[ "MIT" ]

null

ex07.py

ScottDig/Practice-Python-Exercises

3d89a61888c780b6df30e4f294a4468937612954

[ "MIT" ]

null

a = [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] b = [even for even in a if even % 2 == 0] print(b) c = [even*3 for even in a] print(c)

14.777778

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0.257143

0.285714

0

0.21875

0.278195

133

9

43

14.777778

0.510417

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false

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null

0

1

0

1

0

1

0

null

0

4

23157a832151a302c688b4c36566a5731392863f

382

py

Python

print_emoji.py

NitulKalita/Python-CLI

dd967e601485189672693a5082a129feb7898698

[ "MIT" ]

6

2021-09-04T17:46:31.000Z

2021-11-28T14:30:19.000Z

print_emoji.py

NitulKalita/Python-CLI

dd967e601485189672693a5082a129feb7898698

[ "MIT" ]

null

print_emoji.py

NitulKalita/Python-CLI

dd967e601485189672693a5082a129feb7898698

[ "MIT" ]

2

2021-10-01T07:53:45.000Z

2021-11-19T18:13:52.000Z

'''#using CLDR name print("\N{grinning face}") print("\N{winking face}") print("\N{thumbs up sign}") ''' '''#using unicodes print("\U0001f600") #grinning face print("\U0001F609") #winking face print("\U0001F44D") #thumbs up ''' #using the emoji module import emoji print(emoji.emojize(":grinning_face:")) print(emoji.emojize(":winking_face:")) print(emoji.emojize(":thumbs_up:"))

21.222222

39

0.698953

51

382

5.176471

0.392157

0.204545

0.193182

0.159091

0

0.057471

0.089005

382

18

40

21.222222

0.701149

0.188482

0

0.298507

0

1

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true

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0.25

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0.25

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0

null

1

0

null

0

1

0

1

0

4

233b0e0e9138f0417c0402b01ba13748164eebb6

882

py

Python

.config/python/startup.py

cjbayliss/conf

1e3c91b47eef85a419ac352257d4f6da9a80be31

[ "CC0-1.0" ]

null

.config/python/startup.py

cjbayliss/conf

1e3c91b47eef85a419ac352257d4f6da9a80be31

[ "CC0-1.0" ]

1

2019-05-13T01:48:53.000Z

2019-06-04T00:54:32.000Z

.config/python/startup.py

cjbayliss/conf

1e3c91b47eef85a419ac352257d4f6da9a80be31

[ "CC0-1.0" ]

null

# if you are a python developer or someone else considering writing # files into peoples home directory, PLEASE allow people to at least # turn it off, at a bare minimum. providing a way to change where the # files are written is polite too! # # no, readline.set_auto_history(False) doesnt stop python writing # ~/.python_history, it just stops python adding history to that file. # # refs: # # * https://bugs.python.org/issue5845 # * https://bugs.python.org/issue20886 # * https://bugs.python.org/issue26870 # * https://bugs.python.org/issue29779 # * https://bugs.python.org/issue41563 # * https://docs.python.org/3/library/readline.html#example # * https://github.com/python/cpython/pull/13208 # * https://unix.stackexchange.com/a/297834 try: import readline readline.write_history_file = lambda *args: None del readline except ImportError: pass

33.923077

70

0.726757

126

882

5.047619

0.642857

0.084906

0.117925

0.141509

0

0.048518

0.15873

882

25

71

35.28

0.808625

0.815193

0

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true

0.166667

0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

4

2350c84da68d4e880839edbfc491d8e9b44a0cc2

95

py

Python

sequencers/apps.py

bihealth/digestiflow-server

298c53f95dbf56e7be0d0b8bcceacabc21257d5f

[ "MIT" ]

13

2019-11-27T19:12:15.000Z

2021-12-01T21:32:18.000Z

sequencers/apps.py

bihealth/digestiflow-server

298c53f95dbf56e7be0d0b8bcceacabc21257d5f

[ "MIT" ]

60

2019-03-27T14:43:19.000Z

2022-03-22T09:12:53.000Z

sequencers/apps.py

bihealth/digestiflow-server

298c53f95dbf56e7be0d0b8bcceacabc21257d5f

[ "MIT" ]

3

2020-11-09T07:08:42.000Z

2022-02-09T11:37:54.000Z

from django.apps import AppConfig class SequencersConfig(AppConfig): name = "sequencers"

15.833333

34

0.768421

10

95

7.3

0.9

0

0.157895

95

5

35

19

0.9125

0

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false

0

0.333333

0

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null

0

1

0

null

0

1

0

1

0

4

235907d5f80d5e334bc2bf99669791b2ddbb2396

138

py

Python

wsgi.py

dbca-asi/mapproxy

4bbfd5865146a0cedc3b4ba00ac87059bacf0f5c

[ "Apache-2.0" ]

null

wsgi.py

dbca-asi/mapproxy

4bbfd5865146a0cedc3b4ba00ac87059bacf0f5c

[ "Apache-2.0" ]

null

wsgi.py

dbca-asi/mapproxy

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[ "Apache-2.0" ]

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# WSGI module for use with uWSGI or gunicorn from mapproxy.wsgiapp import make_wsgi_app application = make_wsgi_app('/app/mapproxy.yaml')

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Python

tests/__init__.py

sjaiswalvmware/wavefront-pyformance

a2b487dbacecc8cbf8288e669614433d089cf0d5

[ "ECL-2.0", "Apache-2.0" ]

2

2018-08-28T18:28:33.000Z

2021-06-11T19:33:01.000Z

tests/__init__.py

sjaiswalvmware/wavefront-pyformance

a2b487dbacecc8cbf8288e669614433d089cf0d5

[ "ECL-2.0", "Apache-2.0" ]

14

2018-08-28T20:30:40.000Z

2021-04-15T08:27:31.000Z

tests/__init__.py

sjaiswalvmware/wavefront-pyformance

a2b487dbacecc8cbf8288e669614433d089cf0d5

[ "ECL-2.0", "Apache-2.0" ]

9

2018-08-28T18:48:23.000Z

2021-01-29T11:12:59.000Z

"""Wavefront Pyformance Tests."""

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Python

pyked/tests/test_converters.py

jsantner/PyKED

1e5dd80bba1da4260681290cd8fca0536d652fec

[ "BSD-3-Clause" ]

12

2017-05-23T19:04:51.000Z

2021-05-27T09:03:30.000Z

pyked/tests/test_converters.py

mefuller/PyKED

ed312c332f14b886dd98921ea5329597ee8c2716

[ "BSD-3-Clause" ]

103

2017-02-20T00:54:14.000Z

2022-02-25T02:03:39.000Z

pyked/tests/test_converters.py

mefuller/PyKED

ed312c332f14b886dd98921ea5329597ee8c2716

[ "BSD-3-Clause" ]

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2017-03-14T23:29:57.000Z

2020-09-16T09:27:21.000Z

"""" Tests for the converters """ # Standard libraries import os import pkg_resources from requests.exceptions import ConnectionError import socket from tempfile import TemporaryDirectory import xml.etree.ElementTree as etree from shutil import copy import pytest import numpy.random from numpy.testing import assert_allclose # Local imports from ..converters import (ParseError, KeywordError, MissingElementError, MissingAttributeError ) from ..converters import (get_file_metadata, get_reference, get_experiment_kind, get_common_properties, get_ignition_type, get_datapoints, ReSpecTh_to_ChemKED, main, respth2ck, ck2respth ) from .._version import __version__ from ..chemked import ChemKED class TestErrors(object): """ """ def test_parse_error(self): """(Very) basic test of ParseError. """ with pytest.raises(ParseError) as excinfo: raise ParseError('this is an error') assert 'this is an error' in str(excinfo.value) def test_keyword_error(self): """Basic test of KeywordError. """ with pytest.raises(KeywordError) as excinfo: raise KeywordError('this is a test') assert 'Error: this is a test.' in str(excinfo.value) def test_missing_element_error(self): """Basic test of MissingElementError. """ with pytest.raises(MissingElementError) as excinfo: raise MissingElementError('fileAuthor') assert 'Error: required element fileAuthor is missing.' in str(excinfo.value) def test_missing_attribute_error(self): """Basic test of MissingAttributeError. """ with pytest.raises(MissingAttributeError) as excinfo: raise MissingAttributeError('preferredKey', 'bibliographyLink') assert 'Error: required attribute preferredKey of bibliographyLink is missing.' in str(excinfo.value) class TestFileMetadata(object): """ """ def test_valid_metadata(self): """Ensure valid metadata validates properly. """ root = etree.Element('experiment') author = etree.SubElement(root, 'fileAuthor') author.text = 'Kyle Niemeyer' version = etree.SubElement(root, 'fileVersion') major_version = etree.SubElement(version, 'major') major_version.text = '1' minor_version = etree.SubElement(version, 'minor') minor_version.text = '0' meta = get_file_metadata(root) assert meta['chemked-version'] == __version__ assert meta['file-authors'][0]['name'] == 'Kyle Niemeyer' # ChemKED version will always start at 0 assert meta['file-version'] == 0 def test_missing_fileauthor(self): """Ensure missing file author raises error. """ root = etree.Element('experiment') version = etree.SubElement(root, 'fileVersion') major_version = etree.SubElement(version, 'major') major_version.text = '1' minor_version = etree.SubElement(version, 'minor') minor_version.text = '0' with pytest.raises(MissingElementError) as excinfo: get_file_metadata(root) assert 'Error: required element fileAuthor is missing.' in str(excinfo.value) def test_blank_fileauthor(self): """Ensure blank file author raises error. """ root = etree.Element('experiment') author = etree.SubElement(root, 'fileAuthor') author.text = '' version = etree.SubElement(root, 'fileVersion') major_version = etree.SubElement(version, 'major') major_version.text = '1' minor_version = etree.SubElement(version, 'minor') minor_version.text = '0' with pytest.raises(MissingElementError) as excinfo: get_file_metadata(root) assert 'Error: required element fileAuthor is missing' in str(excinfo.value) class TestGetReference(object): """ """ @pytest.fixture(scope='function') def disable_socket(self): """Disables socket to prevent network access. """ old_socket = socket.socket def guard(*args, **kwargs): raise ConnectionError("No internet") socket.socket = guard yield socket.socket = old_socket def test_valid_reference(self): """Ensure valid reference reads properly. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1016/j.ijhydene.2007.04.008') ref.set('preferredKey', 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond' ) with pytest.warns(UserWarning) as record: ref = get_reference(root) m = str(record.pop(UserWarning).message) assert m == 'Using DOI to obtain reference information, rather than preferredKey.' assert ref['doi'] == '10.1016/j.ijhydene.2007.04.008' assert ref['journal'] == 'International Journal of Hydrogen Energy' assert ref['year'] == 2007 assert ref['volume'] == 32 assert ref['pages'] == '2216-2226' assert len(ref['authors']) == 4 assert {'name': 'N CHAUMEIX'} in ref['authors'] assert {'name': 'S PICHON'} in ref['authors'] assert {'name': 'F LAFOSSE'} in ref['authors'] assert {'name': 'C PAILLARD'} in ref['authors'] def test_missing_bibliography(self): """Test for completely missing bibliography element. """ root = etree.Element('experiment') with pytest.raises(MissingElementError) as excinfo: get_reference(root) assert 'Error: required element bibliographyLink is missing' in str(excinfo.value) def test_missing_doi(self): """Ensure can handle missing DOI. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('preferredKey', 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond' ) with pytest.warns(UserWarning) as record: ref = get_reference(root) m = str(record.pop(UserWarning).message) assert m == ('Missing doi attribute in bibliographyLink. Setting "detail" key as a ' 'fallback; please update to the appropriate fields.') assert ref['detail'] == ('Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) def test_missing_doi_period_at_end(self): """Ensure can handle missing DOI with period at end of reference. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('preferredKey', 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) with pytest.warns(UserWarning) as record: ref = get_reference(root) m = str(record.pop(UserWarning).message) assert m == ('Missing doi attribute in bibliographyLink. Setting "detail" key as a ' 'fallback; please update to the appropriate fields.') assert ref['detail'] == ('Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) def test_missing_preferredkey(self): """Ensure can handle DOI with missing ``preferredKey``. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1016/j.ijhydene.2007.04.008') ref = get_reference(root) assert ref['doi'] == '10.1016/j.ijhydene.2007.04.008' assert ref['journal'] == 'International Journal of Hydrogen Energy' assert ref['year'] == 2007 assert ref['volume'] == 32 assert ref['pages'] == '2216-2226' assert len(ref['authors']) == 4 assert {'name': 'N CHAUMEIX'} in ref['authors'] assert {'name': 'S PICHON'} in ref['authors'] assert {'name': 'F LAFOSSE'} in ref['authors'] assert {'name': 'C PAILLARD'} in ref['authors'] def test_incorrect_doi(self, capfd): """Ensure can handle invalid DOI. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1000/invalid.doi') ref.set('preferredKey', 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond' ) with pytest.warns(UserWarning) as record: ref = get_reference(root) m = str(record.pop(UserWarning).message) assert m == ('Missing doi attribute in bibliographyLink or lookup failed. Setting "detail" ' 'key as a fallback; please update to the appropriate fields.') assert ref['detail'] == ( 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) def test_incorrect_doi_period_at_end(self, capfd): """Ensure can handle invalid DOI with period at end of reference. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1000/invalid.doi') ref.set('preferredKey', 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) with pytest.warns(UserWarning) as record: ref = get_reference(root) m = str(record.pop(UserWarning).message) assert m == ('Missing doi attribute in bibliographyLink or lookup failed. Setting "detail" ' 'key as a fallback; please update to the appropriate fields.') assert ref['detail'] == ( 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) def test_doi_missing_internet(self, disable_socket): """Ensure that DOI validation fails gracefully with no Internet. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1016/j.ijhydene.2007.04.008') ref.set('preferredKey', 'Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond' ) with pytest.warns(UserWarning) as record: ref = get_reference(root) m = str(record.pop(UserWarning).message) assert m == ('Missing doi attribute in bibliographyLink or lookup failed. Setting "detail" ' 'key as a fallback; please update to the appropriate fields.') assert ref['detail'] == ('Chaumeix, N., Pichon, S., Lafosse, F., Paillard, C.-E., ' 'International Journal of Hydrogen Energy, 2007, (32) 2216-2226, ' 'Fig. 12., right, open diamond.' ) def test_missing_doi_preferredkey(self): """Ensure error if missing both DOI and ``preferredKey``. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1000/invalid.doi') with pytest.raises(KeywordError) as excinfo: ref = get_reference(root) assert ('DOI not found and preferredKey attribute not set' in str(excinfo.value)) def test_doi_missing_preferredkey(self): """Ensure error if missing ``preferredKey`` and not found DOI. """ root = etree.Element('experiment') etree.SubElement(root, 'bibliographyLink') with pytest.raises(MissingAttributeError) as excinfo: get_reference(root) assert ('Error: required attribute preferredKey of bibliographyLink ' 'is missing.' in str(excinfo.value) ) def test_doi_author_orcid(self): """Test proper addition of author ORCID if present. """ root = etree.Element('experiment') ref = etree.SubElement(root, 'bibliographyLink') ref.set('doi', '10.1016/j.cpc.2017.02.004') ref = get_reference(root) assert ref['doi'] == '10.1016/j.cpc.2017.02.004' assert ref['journal'] == 'Computer Physics Communications' assert ref['year'] == 2017 assert ref['volume'] == 215 assert ref['pages'] == '188-203' assert len(ref['authors']) == 3 assert {'name': 'Kyle E. Niemeyer', 'ORCID': '0000-0003-4425-7097' } in ref['authors'] assert {'name': 'Nicholas J. Curtis', 'ORCID': '0000-0002-0303-4711' } in ref['authors'] assert {'name': 'Chih-Jen Sung'} in ref['authors'] class TestGetExperiment(object): """ """ @pytest.mark.parametrize('apparatus', [ 'shock tube', 'rapid compression machine', ]) def test_proper_experiment_types(self, apparatus): """Ensure proper validation of accepted experiment types. """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = 'Ignition delay measurement' app = etree.SubElement(root, 'apparatus') kind = etree.SubElement(app, 'kind') kind.text = apparatus ref = get_experiment_kind(root) assert ref['experiment-type'] == 'ignition delay' assert ref['apparatus']['kind'] == apparatus @pytest.mark.parametrize('experiment_type', [ 'Laminar flame speed measurement', 'Outlet concentration measurement', 'Concentration time profile measurement', 'Jet stirred reactor measurement', 'Burner stabilized flame speciation measurement', ]) def test_invalid_experiment_types(self, experiment_type): """Ensure unsupported types raise correct errors. """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = experiment_type with pytest.raises(NotImplementedError) as excinfo: get_experiment_kind(root) assert experiment_type + ' not (yet) supported' in str(excinfo.value) @pytest.mark.parametrize('apparatus', [ 'perfectly stirred reactor', 'internal combustion engine', 'flow reactor' ]) def test_invalid_apparatus_types(self, apparatus): """Ensure unsupported apparatus types raise correct errors. """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = 'Ignition delay measurement' app = etree.SubElement(root, 'apparatus') kind = etree.SubElement(app, 'kind') kind.text = apparatus with pytest.raises(NotImplementedError) as excinfo: get_experiment_kind(root) assert apparatus + ' experiment not (yet) supported' in str(excinfo.value) def test_missing_apparatus_kind(self): """Ensure proper error raised if missing apparatus kind. """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = 'Ignition delay measurement' etree.SubElement(root, 'apparatus') with pytest.raises(MissingElementError) as excinfo: get_experiment_kind(root) assert 'Error: required element apparatus/kind is missing.' in str(excinfo.value) def test_missing_apparatus(self): """Ensure proper error raised if missing apparatus. """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = 'Ignition delay measurement' with pytest.raises(MissingElementError) as excinfo: get_experiment_kind(root) assert 'Error: required element apparatus/kind is missing.' in str(excinfo.value) class TestCommonProperties(object): """ """ @pytest.mark.parametrize('physical_property, value, units', [ ('pressure', '2.18', 'atm'), ('pressure', '700', 'Torr'), ('pressure', '700', 'torr'), ('pressure', '1', 'bar'), ('pressure', '1000', 'mbar'), ('temperature', '1000.0', 'K'), ('pressure rise', '0.10', '1/ms'), ]) def test_proper_common_properties(self, physical_property, value, units): """Ensure proper handling of correct common properties. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') prop = etree.SubElement(properties, 'property') prop.set('name', physical_property) prop.set('units', units) prop_value = etree.SubElement(prop, 'value') prop_value.text = value # not sure how else to handle this... if units == 'Torr': units = 'torr' common = get_common_properties(root) assert common[physical_property.replace(' ', '-')] == [' '.join([value, units])] @pytest.mark.parametrize('physical_property, value, units', [ ('pressure', '2.18', 'K'), ('temperature', '1000.0', 'Pa'), ('pressure rise', '0.10', 'ms'), ]) def test_common_property_invalid_units(self, physical_property, value, units): """Ensure error raised when improper units given for common properties. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') prop = etree.SubElement(properties, 'property') prop.set('name', physical_property) prop.set('units', units) prop_value = etree.SubElement(prop, 'value') prop_value.text = value with pytest.raises(KeywordError) as excinfo: get_common_properties(root) assert 'Error: units incompatible for property ' + physical_property in str(excinfo.value) @pytest.mark.parametrize('composition_type', ['mole fraction', 'mass fraction']) def test_proper_common_initial_composition(self, composition_type): """Ensure proper handling of initial composition common property. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') initial_composition = etree.SubElement(properties, 'property') initial_composition.set('name', 'initial composition') species_refs = [{'name': 'H2', 'inchi': '1S/H2/h1H', 'amount': 0.00444}, {'name': 'O2', 'inchi': '1S/O2/c1-2', 'amount': 0.00566}, {'name': 'Ar', 'inchi': '1S/Ar', 'amount': 0.9899}, ] for spec in species_refs: component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', spec['name']) species.set('InChI', spec['inchi']) amount = etree.SubElement(component, 'amount') amount.set('units', composition_type) amount.text = str(spec['amount']) common = get_common_properties(root) assert common['composition']['kind'] == composition_type assert len(common['composition']['species']) == 3 for spec_ref, spec in zip(species_refs, common['composition']['species']): assert spec['species-name'] == spec_ref['name'] assert spec['InChI'] == spec_ref['inchi'] assert spec['amount'] == [spec_ref['amount']] def test_common_property_invalid_property(self): """Ensure error raised when invalid property given in common properties. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') prop = etree.SubElement(properties, 'property') prop.set('name', 'compression time') with pytest.raises(KeywordError) as excinfo: get_common_properties(root) assert 'Error: Property compression time not supported as common property.' in str(excinfo.value) def test_species_missing_inchi(self, capfd): """Check for warning when species missing InChI. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') initial_composition = etree.SubElement(properties, 'property') initial_composition.set('name', 'initial composition') component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', 'H2') amount = etree.SubElement(component, 'amount') amount.set('units', 'mole fraction') amount.text = '1.0' with pytest.warns(UserWarning) as record: get_common_properties(root) m = str(record.pop(UserWarning).message) assert m == 'Missing InChI for species H2' def test_inconsistent_composition_type(self): """Check for error when inconsistent composition types. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') initial_composition = etree.SubElement(properties, 'property') initial_composition.set('name', 'initial composition') component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', 'H2') species.set('InChI', '1S/H2/h1H') amount = etree.SubElement(component, 'amount') amount.set('units', 'mole fraction') amount.text = '0.5' component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', 'O2') species.set('InChI', '1S/O2/c1-2') amount = etree.SubElement(component, 'amount') amount.set('units', 'mass fraction') amount.text = '0.5' with pytest.raises(KeywordError) as excinfo: get_common_properties(root) assert ('Error: composition units mass fraction not consistent ' 'with mole fraction' ) in str(excinfo.value) def test_common_composition_units_ppm_ppb(self): """Test proper handling of common composition unit conversion for ppm and ppb. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') initial_composition = etree.SubElement(properties, 'property') initial_composition.set('name', 'initial composition') species_refs = [{'name': 'H2', 'inchi': '1S/H2/h1H', 'amount': 100, 'units': 'ppb' }, {'name': 'O2', 'inchi': '1S/O2/c1-2', 'amount': 10, 'units': 'ppm', }, {'name': 'Ar', 'inchi': '1S/Ar', 'amount': 0.999985, 'units': 'mole fraction'}, ] for spec in species_refs: component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', spec['name']) species.set('InChI', spec['inchi']) amount = etree.SubElement(component, 'amount') amount.set('units', spec['units']) amount.text = str(spec['amount']) with pytest.warns(UserWarning) as record: common = get_common_properties(root) m = str(record.pop(UserWarning).message) assert m == 'Assuming molar ppb in composition and converting to mole fraction' m = str(record.pop(UserWarning).message) assert m == 'Assuming molar ppm in composition and converting to mole fraction' assert common['composition']['kind'] == 'mole fraction' assert len(common['composition']['species']) == 3 assert common['composition']['species'][0]['species-name'] == 'H2' assert common['composition']['species'][0]['InChI'] == '1S/H2/h1H' assert_allclose(common['composition']['species'][0]['amount'], [100.e-9]) assert common['composition']['species'][1]['species-name'] == 'O2' assert common['composition']['species'][1]['InChI'] == '1S/O2/c1-2' assert_allclose(common['composition']['species'][1]['amount'], [10.e-6]) assert common['composition']['species'][2]['species-name'] == 'Ar' assert common['composition']['species'][2]['InChI'] == '1S/Ar' assert_allclose(common['composition']['species'][2]['amount'], [0.999985]) def test_common_composition_units_percent(self): """Test proper handling of common composition unit conversion for (mole) percent. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') initial_composition = etree.SubElement(properties, 'property') initial_composition.set('name', 'initial composition') species_refs = [{'name': 'Ar', 'inchi': '1S/Ar', 'amount': 1.0, 'units': 'percent'}] for spec in species_refs: component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', spec['name']) species.set('InChI', spec['inchi']) amount = etree.SubElement(component, 'amount') amount.set('units', spec['units']) amount.text = str(spec['amount']) with pytest.warns(UserWarning) as record: common = get_common_properties(root) m = str(record.pop(UserWarning).message) assert m == 'Assuming percent in composition means mole percent' assert common['composition']['kind'] == 'mole percent' assert len(common['composition']['species']) == 1 assert common['composition']['species'][0]['species-name'] == 'Ar' assert common['composition']['species'][0]['InChI'] == '1S/Ar' assert_allclose(common['composition']['species'][0]['amount'], [1.0]) def test_common_composition_units_error(self): """Test error for inappropriate common composition units. """ root = etree.Element('experiment') properties = etree.SubElement(root, 'commonProperties') initial_composition = etree.SubElement(properties, 'property') initial_composition.set('name', 'initial composition') species_refs = [{'name': 'H2', 'inchi': '1S/H2/h1H', 'amount': 100, 'units': 'grams' }, ] for spec in species_refs: component = etree.SubElement(initial_composition, 'component') species = etree.SubElement(component, 'speciesLink') species.set('preferredKey', spec['name']) species.set('InChI', spec['inchi']) amount = etree.SubElement(component, 'amount') amount.set('units', spec['units']) amount.text = str(spec['amount']) with pytest.raises(KeywordError) as excinfo: get_common_properties(root) assert ('Composition units need to be one of: mole fraction, ' 'mass fraction, mole percent, percent, ppm, or ppb.') in str(excinfo.value) class TestIgnitionType(object): """ """ @pytest.mark.parametrize('ignition_target', ['P', 'T', 'OH', 'OH*', 'CH*', 'CH', 'OHEX', 'CHEX'] ) @pytest.mark.parametrize('ignition_type', ['max', 'd/dt max', '1/2 max', 'min', 'baseline max intercept from d/dt']) def test_valid_ignition_types(self, ignition_target, ignition_type): """Check for proper parsing of valid ignition types. """ root = etree.Element('experiment') ignition = etree.SubElement(root, 'ignitionType') ignition.set('target', ignition_target) ignition.set('type', ignition_type) ignition = get_ignition_type(root) def test_missing_attributes(self): """Check for error upon missing attributes """ root = etree.Element('experiment') with pytest.raises(MissingElementError) as excinfo: ignition = get_ignition_type(root) assert 'Error: required element ignitionType is missing.' in str(excinfo.value) root = etree.Element('experiment') ignition = etree.SubElement(root, 'ignitionType') ignition.set('target', 'P') with pytest.raises(MissingAttributeError) as excinfo: ignition = get_ignition_type(root) assert 'Error: required attribute type of ignitionType is missing.' in str(excinfo.value) root = etree.Element('experiment') ignition = etree.SubElement(root, 'ignitionType') ignition.set('type', 'max') with pytest.raises(MissingAttributeError) as excinfo: ignition = get_ignition_type(root) assert 'Error: required attribute target of ignitionType is missing.' in str(excinfo.value) @pytest.mark.parametrize('ignition_type', ['baseline min intercept from d/dt', 'concentration', 'relative concentration' ]) def test_unsupported_ignition_types(self, ignition_type): """Check error returned for unsupported/invalid ignition types. """ root = etree.Element('experiment') ignition = etree.SubElement(root, 'ignitionType') ignition.set('target', 'P') ignition.set('type', ignition_type) with pytest.raises(KeywordError) as excinfo: ignition = get_ignition_type(root) assert 'Error: ' + ignition_type + ' not valid ignition type' in str(excinfo.value) @pytest.mark.parametrize('ignition_target', ['O2', 'CO', 'density']) def test_unsupported_ignition_targets(self, ignition_target): """Check error returned for unsupported/invalid ignition targets. """ root = etree.Element('experiment') ignition = etree.SubElement(root, 'ignitionType') ignition.set('target', ignition_target) ignition.set('type', 'max') with pytest.raises(KeywordError) as excinfo: ignition = get_ignition_type(root) assert ('Error: ' + ignition_target.upper() + ' not valid ignition target' in str(excinfo.value) ) def test_multiple_targets(self): """Check for error with multiple ignition targets. """ root = etree.Element('experiment') ignition = etree.SubElement(root, 'ignitionType') ignition.set('target', 'OH;CH') ignition.set('type', 'max') with pytest.raises(NotImplementedError) as excinfo: ignition = get_ignition_type(root) assert 'Multiple ignition targets not supported.' in str(excinfo.value) class TestGetDatapoints(object): """ """ def test_valid_datapoints_single_datagroup(self): """Test valid parsing of datapoints when in a single dataGroup. """ root = etree.Element('experiment') datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') num_points = 10 temps = numpy.random.uniform(low=300.0, high=1000.0, size=(num_points,)) ignition_delays = numpy.random.uniform(low=100., high=700., size=(num_points,)) for temp, ignition_delay in zip(temps, ignition_delays): datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(temp) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(ignition_delay) datapoints = get_datapoints(root) assert len(datapoints) == num_points for datapoint, temp, ignition_delay in zip(datapoints, temps, ignition_delays): assert datapoint['temperature'] == [str(temp) + ' K'] assert datapoint['ignition-delay'] == [str(ignition_delay) + ' us'] def test_valid_datapoints_two_datagroup(self): """Test valid parsing of datapoints when in a two dataGroups. """ root = etree.Element('experiment') apparatus = etree.SubElement(root, 'apparatus') kind = etree.SubElement(apparatus, 'kind') kind.text = 'rapid compression machine' datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') temp = numpy.random.uniform(low=300.0, high=1000.0) ignition_delay = numpy.random.uniform(low=100., high=700.) datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(temp) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(ignition_delay) datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x4') prop.set('name', 'time') prop.set('units', 's') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x5') prop.set('name', 'volume') prop.set('units', 'cm3') num_points = 100 times = numpy.linspace(0., 10.e-2, num_points) volumes = numpy.cos(times * 20. * numpy.pi) for time, volume in zip(times, volumes): datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x4') x1.text = str(time) x2 = etree.SubElement(datapoint, 'x5') x2.text = str(volume) datapoints = get_datapoints(root) assert len(datapoints) == 1 datapoint = datapoints[0] assert datapoint['temperature'] == [str(temp) + ' K'] assert datapoint['ignition-delay'] == [str(ignition_delay) + ' us'] volume_history = datapoint['time-histories'][0] assert len(volume_history['values']) == num_points assert volume_history['time']['units'] == 's' assert volume_history['time']['column'] == 0 assert volume_history['quantity']['units'] == 'cm3' assert volume_history['quantity']['column'] == 1 for datapoint, time, volume in zip(volume_history['values'], times, volumes): assert datapoint == [float(str(time)), float(str(volume))] def test_missing_datagroup_property_datapoint(self): """Raise error when missing a dataGroup, property, or dataPoint. """ root = etree.Element('experiment') with pytest.raises(MissingElementError) as excinfo: get_datapoints(root) assert 'Error: required element dataGroup is missing.' in str(excinfo.value) datagroup = etree.SubElement(root, 'dataGroup') with pytest.raises(MissingElementError) as excinfo: get_datapoints(root) assert 'Error: required element property is missing.' in str(excinfo.value) prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') with pytest.raises(MissingElementError) as excinfo: get_datapoints(root) assert 'Error: required element dataPoint is missing.' in str(excinfo.value) def test_datapoint_invalid_property(self): """Raise error when invalid property for a ``dataPoint``. """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = 'Ignition delay measurement' app = etree.SubElement(root, 'apparatus') kind = etree.SubElement(app, 'kind') kind.text = 'shock tube' datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'compression time') prop.set('units', 'ms') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(30.0) datagroup = etree.SubElement(root, 'dataGroup') with pytest.raises(KeyError) as excinfo: get_datapoints(root) assert 'compression time not valid dataPoint property' in str(excinfo.value) def test_datapoint_extra_value(self): """Raise error when value without associated property definition """ root = etree.Element('experiment') exp = etree.SubElement(root, 'experimentType') exp.text = 'Ignition delay measurement' app = etree.SubElement(root, 'apparatus') kind = etree.SubElement(app, 'kind') kind.text = 'shock tube' datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert 'value missing from properties: x2' in str(excinfo.value) def test_time_history_extra_property(self): """Ensure error when extra property in volume history dataGroup. """ root = etree.Element('experiment') apparatus = etree.SubElement(root, 'apparatus') kind = etree.SubElement(apparatus, 'kind') kind.text = 'rapid compression machine' datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'time') prop.set('units', 's') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x4') prop.set('name', 'volume') prop.set('units', 'cm3') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x5') prop.set('name', 'not allowed property') prop.set('units', 'Pa') datapoint = etree.SubElement(datagroup, 'dataPoint') x3 = etree.SubElement(datapoint, 'x3') x3.text = str(0.0) x4 = etree.SubElement(datapoint, 'x4') x4.text = str(50.0) x5 = etree.SubElement(datapoint, 'x5') x5.text = str(101325.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Only volume, temperature, pressure, and time are allowed in a time-history ' 'dataGroup.') in str(excinfo.value) # remove bad property description, but retain bad extra dataPoint value datagroup.remove(prop) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Value tag {} not found in dataGroup tags: {}'.format('x5', ['x4']) in str(excinfo.value)) def test_volume_history_missing_property(self): """Ensure error when missing property in volume history dataGroup. """ root = etree.Element('experiment') apparatus = etree.SubElement(root, 'apparatus') kind = etree.SubElement(apparatus, 'kind') kind.text = 'rapid compression machine' datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'time') prop.set('units', 's') datapoint = etree.SubElement(datagroup, 'dataPoint') x3 = etree.SubElement(datapoint, 'x3') x3.text = str(0.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Both time and quantity properties required for time-history.' in str(excinfo.value)) # try the same with volume, and time missing datagroup.remove(prop) datagroup.remove(datapoint) prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x4') prop.set('name', 'volume') prop.set('units', 'cm3') datapoint = etree.SubElement(datagroup, 'dataPoint') x3 = etree.SubElement(datapoint, 'x4') x3.text = str(50.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Both time and quantity properties required for time-history.' in str(excinfo.value)) def test_volume_history_missing_value(self): """Ensure error when missing value in volume history dataGroup. """ root = etree.Element('experiment') apparatus = etree.SubElement(root, 'apparatus') kind = etree.SubElement(apparatus, 'kind') kind.text = 'rapid compression machine' datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'time') prop.set('units', 's') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x4') prop.set('name', 'volume') prop.set('units', 'cm3') # Have time, but missing volume datapoint = etree.SubElement(datagroup, 'dataPoint') x3 = etree.SubElement(datapoint, 'x3') x3.text = str(0.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Both time and quantity values required in each time-history dataPoint.' in str(excinfo.value)) # try again with volume, but missing time datapoint.remove(x3) x4 = etree.SubElement(datapoint, 'x4') x4.text = str(50.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Both time and quantity values required in each time-history dataPoint.' in str(excinfo.value)) @pytest.mark.parametrize('type, value', [ ('mole fraction', 1.0), ('mass fraction', 1.0), ('mole percent', 100.0), ]) @pytest.mark.filterwarnings('ignore:Missing InChI for species H2') def test_datapoints_composition(self, type, value): """Test valid parsing of datapoints with composition. """ root = etree.Element('experiment') datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'composition') prop.set('units', type) specieslink = etree.SubElement(prop, 'speciesLink') specieslink.set('preferredKey', 'H2') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) x3 = etree.SubElement(datapoint, 'x3') x3.text = str(value) datapoints = get_datapoints(root) assert len(datapoints) == 1 datapoint = datapoints[0] assert datapoint['temperature'] == [str(1000.0) + ' K'] assert datapoint['ignition-delay'] == [str(100.0) + ' us'] assert datapoint['composition']['kind'] == type assert datapoint['composition']['species'][0] == {'amount': [value], 'species-name': 'H2', 'InChI': None } @pytest.mark.parametrize('kind, value', [ ('percent', 100.0), ('ppm', 1.0), ('ppb', 1.0), ]) def test_datapoints_composition_warning(self, kind, value): """Test valid parsing of datapoints with composition with warnings. """ root = etree.Element('experiment') datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'composition') prop.set('units', kind) specieslink = etree.SubElement(prop, 'speciesLink') specieslink.set('preferredKey', 'H2') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) x3 = etree.SubElement(datapoint, 'x3') x3.text = str(value) with pytest.warns(UserWarning) as record: datapoints = get_datapoints(root) m = str(record.pop(UserWarning).message) assert m == 'Missing InChI for species H2' m = str(record.pop(UserWarning).message) if kind == 'percent': assert m == 'Assuming percent in composition means mole percent' kind = 'mole percent' elif kind == 'ppm': assert m == 'Assuming molar ppm in composition and converting to mole fraction' kind = 'mole fraction' value *= 1e-6 elif kind == 'ppb': assert m == 'Assuming molar ppb in composition and converting to mole fraction' kind = 'mole fraction' value *= 1e-9 assert len(datapoints) == 1 datapoint = datapoints[0] assert datapoint['temperature'] == [str(1000.0) + ' K'] assert datapoint['ignition-delay'] == [str(100.0) + ' us'] assert datapoint['composition']['kind'] == kind assert datapoint['composition']['species'][0] == {'amount': [value], 'species-name': 'H2', 'InChI': None } def test_datapoints_composition_error(self): """Test valid parsing of datapoints with improper unit error. """ root = etree.Element('experiment') datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'composition') prop.set('units', 'grams') specieslink = etree.SubElement(prop, 'speciesLink') specieslink.set('preferredKey', 'H2') specieslink.set('InChI', '1S/H2/h1H') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) x3 = etree.SubElement(datapoint, 'x3') x3.text = str(10.0) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Error: composition units need to be one of: mole fraction, ' 'mass fraction, mole percent, percent, ppm, or ppb.' ) in str(excinfo.value) def test_datapoints_inconsistent_composition_error(self): """Test error raised for datapoint with inconsistent composition type. """ root = etree.Element('experiment') datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'temperature') prop.set('units', 'K') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'ignition delay') prop.set('units', 'us') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x3') prop.set('name', 'composition') prop.set('units', 'mass fraction') specieslink = etree.SubElement(prop, 'speciesLink') specieslink.set('preferredKey', 'H2') specieslink.set('InChI', '1S/H2/h1H') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x4') prop.set('name', 'composition') prop.set('units', 'mole fraction') specieslink = etree.SubElement(prop, 'speciesLink') specieslink.set('preferredKey', 'O2') specieslink.set('InChI', '1S/O2/c1-2') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(1000.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(100.0) x3 = etree.SubElement(datapoint, 'x3') x3.text = str(0.5) x3 = etree.SubElement(datapoint, 'x4') x3.text = str(0.5) with pytest.raises(KeywordError) as excinfo: get_datapoints(root) assert ('Error: composition units mole fraction not consistent with ' 'mass fraction' ) in str(excinfo.value) class TestConvertReSpecTh(object): """ """ @pytest.mark.parametrize('filename_xml', ['testfile_st.xml', 'testfile_rcm.xml']) @pytest.mark.filterwarnings('ignore:Using DOI') def test_valid_conversion(self, filename_xml): """Test proper conversion of ReSpecTh files. """ file_path = os.path.join(filename_xml) filename = pkg_resources.resource_filename(__name__, file_path) file_author = 'Kyle Niemeyer' file_author_orcid = '0000-0003-4425-7097' # Skip all the validation because we know the test files are correct and we're not # testing the validation methods here properties = ReSpecTh_to_ChemKED(filename, file_author, file_author_orcid, validate=False) c = ChemKED(dict_input=properties, skip_validation=True) # compare with ChemKED file of same experiment file_path = os.path.join(os.path.splitext(filename_xml)[0] + '.yaml') filename = pkg_resources.resource_filename(__name__, file_path) c_true = ChemKED(yaml_file=filename, skip_validation=True) assert c.file_authors[1]['name'] == file_author assert c.file_authors[1]['ORCID'] == file_author_orcid assert c.reference.detail == 'Converted from ReSpecTh XML file {}'.format(filename_xml) assert c.apparatus.kind == c_true.apparatus.kind assert c.experiment_type == c_true.experiment_type assert c.reference.doi == c_true.reference.doi assert len(c.datapoints) == len(c_true.datapoints) @pytest.mark.filterwarnings('ignore:Using DOI') def test_error_rcm_pressurerise(self): """Test for appropriate error if RCM file has pressure rise. """ file_path = os.path.join('testfile_rcm.xml') filename = pkg_resources.resource_filename(__name__, file_path) # add pressure rise to common properties tree = etree.parse(filename) root = tree.getroot() properties = root.find('commonProperties') prop = etree.SubElement(properties, 'property') prop.set('name', 'pressure rise') prop.set('units', '1/ms') prop_value = etree.SubElement(prop, 'value') prop_value.text = '0.10' # write new file, and try to load et = etree.ElementTree(root) with TemporaryDirectory() as temp_dir: filename = os.path.join(temp_dir, 'test.xml') et.write(filename, encoding='utf-8', xml_declaration=True) with pytest.raises(KeywordError) as excinfo: ReSpecTh_to_ChemKED(filename) assert 'Pressure rise cannot be defined for RCM.' in str(excinfo.value) @pytest.mark.filterwarnings('ignore:Using DOI') def test_error_st_volumehistory(self): """Test for appropriate error if shock tube file has volume history. """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) tree = etree.parse(filename) root = tree.getroot() datagroup = etree.SubElement(root, 'dataGroup') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x1') prop.set('name', 'time') prop.set('units', 's') prop = etree.SubElement(datagroup, 'property') prop.set('id', 'x2') prop.set('name', 'volume') prop.set('units', 'cm3') datapoint = etree.SubElement(datagroup, 'dataPoint') x1 = etree.SubElement(datapoint, 'x1') x1.text = str(0.0) x2 = etree.SubElement(datapoint, 'x2') x2.text = str(10.0) # write new file, and try to load et = etree.ElementTree(root) with TemporaryDirectory() as temp_dir: filename = os.path.join(temp_dir, 'test.xml') et.write(filename, encoding='utf-8', xml_declaration=True) with pytest.raises(KeywordError) as excinfo: ReSpecTh_to_ChemKED(filename) assert 'Volume history cannot be defined for shock tube.' in str(excinfo.value) @pytest.mark.filterwarnings('ignore:Using DOI') def test_author_orcid_no_name(self): """Test that passing an ORCID to the conversion without a name raises an error """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) file_author_orcid = '0000-0003-4425-7097' # Skip all the validation because we know the test files are correct and we're not # testing the validation methods here with pytest.raises(KeywordError) as e: ReSpecTh_to_ChemKED(filename, file_author_orcid=file_author_orcid) assert 'If file_author_orcid is specified, file_author must be as well' in str(e.value) @pytest.mark.filterwarnings('ignore:Using DOI') def test_file_author_only(self): """Test that passing the file author only works properly """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) file_author = 'Kyle Niemeyer' # Skip all the validation because we know the test files are correct and we're not # testing the validation methods here properties = ReSpecTh_to_ChemKED(filename, file_author, validate=False) c = ChemKED(dict_input=properties, skip_validation=True) assert c.file_authors[1]['name'] == file_author assert c.file_authors[1].get('ORCID', None) is None class TestConverterMain(object): """ """ def test_conversion_main_xml_to_yaml(self): """Test detection in converter for xml->yaml """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) file_author = 'Kyle E Niemeyer' file_author_orcid = '0000-0003-4425-7097' with TemporaryDirectory() as temp_dir: newfile = os.path.join(temp_dir, 'test.yaml') with pytest.warns(UserWarning) as record: main(['-i', filename, '-o', newfile, '-fa', file_author, '-fo', file_author_orcid]) c = ChemKED(yaml_file=newfile) m = str(record.pop(UserWarning).message) assert m == 'Using DOI to obtain reference information, rather than preferredKey.' true_yaml = pkg_resources.resource_filename(__name__, os.path.join('testfile_st.yaml')) c_true = ChemKED(yaml_file=true_yaml) assert c.file_authors[0]['name'] == c_true.file_authors[0]['name'] assert c.file_authors[1]['name'] == file_author assert c.file_authors[1]['ORCID'] == file_author_orcid assert c.reference.detail == 'Converted from ReSpecTh XML file {}'.format(file_path) assert c.apparatus.kind == c_true.apparatus.kind assert c.experiment_type == c_true.experiment_type assert c.reference.doi == c_true.reference.doi assert len(c.datapoints) == len(c_true.datapoints) def test_conversion_main_yaml_to_xml(self): """Test detection in converter for yaml->xml """ file_path = os.path.join('testfile_st.yaml') filename = pkg_resources.resource_filename(__name__, file_path) fa_name = 'Kyle Niemeyer' fa_orcid = '0000-0003-4425-7097' with TemporaryDirectory() as temp_dir: newfile = os.path.join(temp_dir, 'test.xml') main(['-i', filename, '-o', newfile, '-fa', fa_name, '-fo', fa_orcid]) assert os.path.exists(newfile) def test_conversion_respth2ck_default_output(self): """Test respth2ck converter when used via command-line arguments. """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) with TemporaryDirectory() as temp_dir: xml_file = copy(filename, temp_dir) with pytest.warns(UserWarning) as record: respth2ck(['-i', xml_file]) newfile = os.path.join(os.path.splitext(xml_file)[0] + '.yaml') assert os.path.exists(newfile) m = str(record.pop(UserWarning).message) assert m == 'Using DOI to obtain reference information, rather than preferredKey.' def test_conversion_respth2ck_with_output(self): """Test respth2ck converter when used via command-line arguments. """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) with TemporaryDirectory() as temp_dir: newfile = os.path.join(temp_dir, 'test.yaml') with pytest.warns(UserWarning) as record: respth2ck(['-i', filename, '-o', newfile]) assert os.path.exists(newfile) m = str(record.pop(UserWarning).message) assert m == 'Using DOI to obtain reference information, rather than preferredKey.' def test_conversion_ck2respth(self): """Test ck2respth converter when used via command-line arguments. """ file_path = os.path.join('testfile_st.yaml') filename = pkg_resources.resource_filename(__name__, file_path) with TemporaryDirectory() as temp_dir: newfile = os.path.join(temp_dir, 'test.xml') ck2respth(['-i', filename, '-o', newfile]) assert os.path.exists(newfile) def test_conversion_invalid_xml_xml(self): """Test converter main raises errors when two xml files are passed. """ file_path = os.path.join('testfile_st.xml') filename = pkg_resources.resource_filename(__name__, file_path) with pytest.raises(KeywordError) as excinfo: main(['-i', filename, '-o', 'test.xml']) assert 'Cannot convert .xml to .xml' in str(excinfo.value) def test_conversion_invalid_yaml_yaml(self): """Test converter main raises errors when two yaml files are passed. """ file_path = os.path.join('testfile_st.yaml') filename = pkg_resources.resource_filename(__name__, file_path) with pytest.raises(KeywordError) as excinfo: main(['-i', filename, '-o', 'test.yaml']) assert 'Cannot convert .yaml to .yaml' in str(excinfo.value) def test_conversion_invalid_file_type(self): """Test converter main raises errors when an invalid file extension is passed. """ file_path = os.path.join('dataframe_st.csv') filename = pkg_resources.resource_filename(__name__, file_path) with pytest.raises(KeywordError) as excinfo: main(['-i', filename, '-o', 'test.py']) assert 'Input/output args need to be .xml/.yaml' in str(excinfo.value)

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88c15f3a68607446b0114ed83a0348b838a92d0b

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py

Python

Chapter03/main_funct.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

13

2018-06-21T01:44:49.000Z

2021-12-01T10:49:53.000Z

Chapter03/main_funct.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

null

Chapter03/main_funct.py

PacktPublishing/Secret-Recipes-of-the-Python-Ninja

805d00c7a54927ba94c9077e9a580508ee3c5e56

[ "MIT" ]

6

2018-10-05T08:29:24.000Z

2022-01-11T14:49:50.000Z

def a_funct(): text = "I am the original function call" return text

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0032a22f27a1f5a2d66505a6105f9b59923ec938

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py

Python

ocean-world-wechat/oceanworldapp/OrderModel/admin.py

l2m2/dirty-projects

e3bff1f829e20b78462e3e91ab094cfad2f1a692

[ "MIT" ]

1

2020-06-04T00:54:00.000Z

ocean-world-wechat/oceanworldapp/OrderModel/admin.py

l2m2/dirty-projects

e3bff1f829e20b78462e3e91ab094cfad2f1a692

[ "MIT" ]

null

ocean-world-wechat/oceanworldapp/OrderModel/admin.py

l2m2/dirty-projects

e3bff1f829e20b78462e3e91ab094cfad2f1a692

[ "MIT" ]

null

from django.contrib import admin from OrderModel.models import Order # Register your models here. admin.site.register(Order)

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003b28e0cb772543894e0c1e588890d20626510d

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py

Python

thermo-env/lib/python3.5/types.py

ndebuhr/thermoModelingAlpha

9e1a0f9ac4caabf386c1e3103ec69f269131a6b9

[ "MIT" ]

4

2017-09-24T21:30:46.000Z

2019-06-01T13:37:44.000Z

thermo-env/lib/python3.5/types.py

ndebuhr/thermo-state-solver

9e1a0f9ac4caabf386c1e3103ec69f269131a6b9

[ "MIT" ]

19

2020-01-28T21:41:50.000Z

2022-03-11T23:17:39.000Z

thermo-env/lib/python3.5/types.py

ndebuhr/thermo-state-solver

9e1a0f9ac4caabf386c1e3103ec69f269131a6b9

[ "MIT" ]

null

/usr/lib64/python3.5/types.py

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003c33af7c58295555612f94c24bcad5608fef68

997

py

Python

detect/__init__.py

oeg-upm/ttla

ab1cc5a2777b3d4fb905f4452379f469153c904b

[ "Apache-2.0" ]

null

detect/__init__.py

oeg-upm/ttla

ab1cc5a2777b3d4fb905f4452379f469153c904b

[ "Apache-2.0" ]

5

2019-04-03T12:58:29.000Z

2021-06-02T00:18:34.000Z

detect/__init__.py

oeg-upm/bob

ab1cc5a2777b3d4fb905f4452379f469153c904b

[ "Apache-2.0" ]

null

from loader import * from Detection import get_num_kind, get_kind_and_nums #__all__ = ['get_num_kind', 'get_kind_and_nums'] # import pandas as pd # # CATEGORICAL = 'categorical' # UNKNOWN = 'unknown' # # # def detect_column_types(file_dir): # """ # :param file_dir: the location of the data file # :return: the list of types # """ # from categorical import is_categorical # # funcs_and_types = { # CATEGORICAL: is_categorical, # } # # ext = file_dir[-4:] # if ext == ".csv": # df = pd.read_csv(file_dir) # else: # df = None # # types = [] # if df is not None: # for col in df: # known = False # for data_type in funcs_and_types.keys(): # if funcs_and_types[data_type](df[col]): # types.append(data_type) # known = True # break # if not known: # types.append(UNKNOWN) # # return types

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4

cc401ad766f39fb5b8f1b25e0dfa6a67b7d9089e

94

py

Python

src/properties/admin.py

KaustubhKekre/homeland

4fad8946498ed40050d9efef14dc85a958452bcb

[ "MIT" ]

null

src/properties/admin.py

KaustubhKekre/homeland

4fad8946498ed40050d9efef14dc85a958452bcb

[ "MIT" ]

null

src/properties/admin.py

KaustubhKekre/homeland

4fad8946498ed40050d9efef14dc85a958452bcb

[ "MIT" ]

null

from django.contrib import admin from .models import Property admin.site.register(Property)

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0

4

cc65c88e81f491415bbb9679f349714a7f7716b2

48

py

Python

gorgona/preprocessor/default.py

theseus-automl/gorgona

a7366d54430caa5a038488432fb93702e1cb83b8

[ "Apache-2.0" ]

1

2021-12-12T10:47:00.000Z

gorgona/preprocessor/default.py

theseus-automl/gorgona

a7366d54430caa5a038488432fb93702e1cb83b8

[ "Apache-2.0" ]

5

2021-12-12T10:45:04.000Z

2022-01-17T07:51:14.000Z

gorgona/preprocessor/default.py

theseus-automl/gorgona

a7366d54430caa5a038488432fb93702e1cb83b8

[ "Apache-2.0" ]

null

class Defaults: repl = '' join_on = ' '

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0

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cca13af6fb5bf4336e777c5eae055841637ccc1e

41

py

Python

arg_ranker/__init__.py

caozhichongchong/arg_ranker

9b4c8da6ebc433c37788ec2eb4edb84b3e558d5a

[ "MIT" ]

11

2020-05-06T19:25:20.000Z

2022-03-07T07:40:48.000Z

arg_ranker/__init__.py

caozhichongchong/arg_ranker

9b4c8da6ebc433c37788ec2eb4edb84b3e558d5a

[ "MIT" ]

5

2021-08-18T08:54:59.000Z

2022-03-24T18:19:35.000Z

arg_ranker/__init__.py

caozhichongchong/arg_ranker

9b4c8da6ebc433c37788ec2eb4edb84b3e558d5a

[ "MIT" ]

7

2019-06-19T16:25:55.000Z

2022-01-12T20:11:50.000Z

import arg_ranker __version__ = "2.8.1"

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ccb8f1b1687cfbb505b4fa831faa7844d40668c1

448

py

Python

cs2021/lab/lab00.py

FalsePsyche/Uni_pythonprog

d6f0162571fcf445947bba020944bcadd5699627

[ "Unlicense" ]

1

2017-01-12T22:09:31.000Z

cs2021/lab/lab00.py

FalsePsyche/Uni_pythonprog

d6f0162571fcf445947bba020944bcadd5699627

[ "Unlicense" ]

null

cs2021/lab/lab00.py

FalsePsyche/Uni_pythonprog

d6f0162571fcf445947bba020944bcadd5699627

[ "Unlicense" ]

null

# Tanner Bornemann # Lab00 - Python Programming - Section 001 # 2017-01-13 def twenty_seventeen(): """Come up with the most creative expression that evaluates to 2017, using only numbers and the +, *, and - operators. >>> twenty_seventeen() 2017 >>> twenty_seventeen() + twenty_seventeen() 4034 >>> twenty_seventeen() * 3 6051 >>> twenty_seventeen() / 2 1008.5 """ return (9 * 9) + ((22 * 2) * 44)

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ccd02bade746bc5b2962bb889944444893e454ee

411

py

Python

backup_client/filehandler/__init__.py

henriknero/backup_client

3df4d67383c5671110faeb10d42686258d15b538

[ "MIT" ]

1

2019-01-11T10:18:15.000Z

backup_client/filehandler/__init__.py

henriknero/backup_client

3df4d67383c5671110faeb10d42686258d15b538

[ "MIT" ]

3

2019-01-12T11:33:03.000Z

2021-06-01T23:19:04.000Z

backup_client/filehandler/__init__.py

henriknero/backup_client

3df4d67383c5671110faeb10d42686258d15b538

[ "MIT" ]

null

from watchdog import observers from watchdog import events import backup_client.network as gitcom class FileObserver(object): def __init__(self): self.file_observer = observers.Observer() self.event_handler = events.FileSystemEventHandler() def start(self): self.file_observer.start() def stop(self): self.file_observer.stop() self.file_observer.join()

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null

0

1

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1

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4

aee343fffd584de2217b4cecddcbfc9c603cf739

214

py

Python

articles/urls.py

Shubhammehta2012/Bootcamp

52a95e1557f0aa299773f0132982fbddef2a1f74

[ "Apache-2.0" ]

null

articles/urls.py

Shubhammehta2012/Bootcamp

52a95e1557f0aa299773f0132982fbddef2a1f74

[ "Apache-2.0" ]

null

articles/urls.py

Shubhammehta2012/Bootcamp

52a95e1557f0aa299773f0132982fbddef2a1f74

[ "Apache-2.0" ]

null

from django.conf.urls import url from django.conf.urls import url from . import views urlpatterns = [ url(r'^$', views.articles, name = 'articles'), url(r'post_ar/$', views.post_ar, name = 'post_ar'), ]

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null

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4e209883eb289eea0774f54bf6116b4901896faf

33

py

Python

yapftests/huawei/huaweistyle/resources/paragraph_1/1_5_a_line_statement_incorrect_.py

akuleshov7/huawei-yapf

72c188257e2bafa4da9e553ba0ee9b86831c51b8

[ "Apache-2.0" ]

12

2020-04-24T18:12:08.000Z

2021-06-09T16:53:10.000Z

yapftests/huawei/huaweistyle/resources/paragraph_1/1_5_a_line_statement_incorrect_.py

akuleshov7/h-yapf

72c188257e2bafa4da9e553ba0ee9b86831c51b8

[ "Apache-2.0" ]

1

2020-09-09T19:55:35.000Z

2020-09-14T00:07:29.000Z

yapftests/huawei/huaweistyle/resources/paragraph_1/1_5_a_line_statement_incorrect_.py

akuleshov7/h-yapf

72c188257e2bafa4da9e553ba0ee9b86831c51b8

[ "Apache-2.0" ]

null

rect.length = 0; rect.width = 0;

16.5

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0.666667

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true

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0

null

0

1

0

null

0

1

0

4

4e293389a635a1df608a1a25d5eb4f0565c8c794

356

py

Python

qlearning/random_agent.py

mattuntergassmair/udacity-deep_rl-navigation

29f1702ae75f6f8fe627d1a892533c64cde6d13e

[ "MIT" ]

null

qlearning/random_agent.py

mattuntergassmair/udacity-deep_rl-navigation

29f1702ae75f6f8fe627d1a892533c64cde6d13e

[ "MIT" ]

null

qlearning/random_agent.py

mattuntergassmair/udacity-deep_rl-navigation

29f1702ae75f6f8fe627d1a892533c64cde6d13e

[ "MIT" ]

null

import numpy as np class RandomAgent: """ An agent that selects among the available actions uniformly at random """ def __init__(self, n_actions): self.n_actions = n_actions def observe(self, s0, a, r, s1, done): pass # do nothing def get_action(self, state): return np.random.randint(self.n_actions)

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9d6b133d1bba44e4b45d9a48569091b63171a049

214

py

Python

datachunks/__init__.py

amaslyaev/datachunks

33d2729ad9fa51e47be7ef43166da6f05fc4d426

[ "MIT" ]

null

datachunks/__init__.py

amaslyaev/datachunks

33d2729ad9fa51e47be7ef43166da6f05fc4d426

[ "MIT" ]

null

datachunks/__init__.py

amaslyaev/datachunks

33d2729ad9fa51e47be7ef43166da6f05fc4d426

[ "MIT" ]

null

""" Data chunking for humans. See README.md for details. """ __version__ = '0.0.4' from ._chunks import chunks, achunks # noqa: F401 from ._chunkingfeeder import ChunkingFeeder, AsyncChunkingFeeder # noqa: F401

23.777778

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1

0

1

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4

9d992202421aec16b85a6818421cc521d64b77d4

352

py

Python

ansible-kvm/library/macgen.py

AutomateWithAnsible/ansible_examples

81e0f6f9226d48409b398acead333c03815b96ac

[ "MIT" ]

168

2015-05-29T13:56:01.000Z

2022-02-17T07:38:17.000Z

ansible-kvm/library/macgen.py

AutomateWithAnsible/ansible_examples

81e0f6f9226d48409b398acead333c03815b96ac

[ "MIT" ]

21

2017-05-01T15:19:59.000Z

2021-06-29T23:04:36.000Z

ansible-kvm/library/macgen.py

AutomateWithAnsible/ansible_examples

81e0f6f9226d48409b398acead333c03815b96ac

[ "MIT" ]

79

2015-07-04T16:47:20.000Z

2022-02-17T07:38:23.000Z

#! /usr/bin/env python # macgen.py script to generate a MAC address for guests on Xen # mac_1 = 0x00 mac_2 = 0x16 mac_3 = 0x3e import random # def randomMAC(): mac = [ mac_1, mac_2, mac_3, random.randint(0x00, 0x7f), random.randint(0x00, 0xff), random.randint(0x00, 0xff) ] return ':'.join(map(lambda x: "%02x" % x, mac)) # print randomMAC()

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9d9a5c993607d67983ee2029a920a58e0b4c0e53

4,426

py

Python

palette.py

zMathieu/TERMVideo

e74803a8117eb05d3be40491cf8d4bda1601e702

[ "MIT" ]

null

palette.py

zMathieu/TERMVideo

e74803a8117eb05d3be40491cf8d4bda1601e702

[ "MIT" ]

null

palette.py

zMathieu/TERMVideo

e74803a8117eb05d3be40491cf8d4bda1601e702

[ "MIT" ]

null

#!/usr/bin/env python3 # coding: utf-8 from PIL import Image NB_COLORS_HEIGHT = 43 NB_COLORS_WIDTH = 6 def make_palette(): palette = [] im = Image.open('colors.png') for x in range(0, im.height, int(im.height/NB_COLORS_HEIGHT)): for y in range(0, im.width, int(im.width/NB_COLORS_WIDTH)): palette.append(im.getpixel((y, x))[:3]) return palette[:4] + palette[6:] # palette = make_palette() palette = [(35, 35, 35), (255, 92, 87), (90, 247, 142), (243, 249, 157), (87, 199, 255), (255, 106, 193), (154, 237, 254), (255, 255, 255), (68, 68, 68), (255, 92, 87), (90, 247, 142), (243, 249, 157), (87, 199, 255), (255, 106, 193), (154, 237, 254), (255, 255, 255), (0, 0, 0), (0, 0, 95), (0, 0, 135), (0, 0, 175), (0, 0, 215), (0, 0, 255), (0, 95, 0), (0, 95, 95), (0, 95, 135), (0, 95, 175), (0, 95, 215), (0, 95, 255), (0, 135, 0), (0, 135, 95), (0, 135, 135), (0, 135, 175), (0, 135, 215), (0, 135, 255), (0, 175, 0), (0, 175, 95), (0, 175, 135), (0, 175, 175), (0, 175, 215), (0, 175, 255), (0, 215, 0), (0, 215, 95), (0, 215, 135), (0, 215, 175), (0, 215, 215), (0, 215, 255), (0, 255, 0), (0, 255, 95), (0, 255, 135), (0, 255, 175), (0, 255, 215), (0, 255, 255), (95, 0, 0), (95, 0, 95), (95, 0, 135), (95, 0, 175), (95, 0, 215), (95, 0, 255), (95, 95, 0), (95, 95, 95), (95, 95, 135), (95, 95, 175), (95, 95, 215), (95, 95, 255), (95, 135, 0), (95, 135, 95), (95, 135, 135), (95, 135, 175), (95, 135, 215), (95, 135, 255), (95, 175, 0), (95, 175, 95), (95, 175, 135), (95, 175, 175), (95, 175, 215), (95, 175, 255), (95, 215, 0), (95, 215, 95), (95, 215, 135), (95, 215, 175), (95, 215, 215), (95, 215, 255), (95, 255, 0), (95, 255, 95), (95, 255, 135), (95, 255, 175), (95, 255, 215), (95, 255, 255), (135, 0, 0), (135, 0, 95), (135, 0, 135), (135, 0, 175), (135, 0, 215), (135, 0, 255), (135, 95, 0), (135, 95, 95), (135, 95, 135), (135, 95, 175), (135, 95, 215), (135, 95, 255), (135, 135, 0), (135, 135, 95), (135, 135, 135), (135, 135, 175), (135, 135, 215), (135, 135, 255), (135, 175, 0), (135, 175, 95), (135, 175, 135), (135, 175, 175), (135, 175, 215), (135, 175, 255), (135, 215, 0), (135, 215, 95), (135, 215, 135), (135, 215, 175), (135, 215, 215), (135, 215, 255), (135, 255, 0), (135, 255, 95), (135, 255, 135), (135, 255, 175), (135, 255, 215), (135, 255, 255), (175, 0, 0), (175, 0, 95), (175, 0, 135), (175, 0, 175), (175, 0, 215), (175, 0, 255), (175, 95, 0), (175, 95, 95), (175, 95, 135), (175, 95, 175), (175, 95, 215), (175, 95, 255), (175, 135, 0), (175, 135, 95), (175, 135, 135), (175, 135, 175), (175, 135, 215), (175, 135, 255), (175, 175, 0), (175, 175, 95), (175, 175, 135), (175, 175, 175), (175, 175, 215), (175, 175, 255), (175, 215, 0), (175, 215, 95), (175, 215, 135), (175, 215, 175), (175, 215, 215), (175, 215, 255), (175, 255, 0), (175, 255, 95), (175, 255, 135), (175, 255, 175), (175, 255, 215), (175, 255, 255), (215, 0, 0), (215, 0, 95), (215, 0, 135), (215, 0, 175), (215, 0, 215), (215, 0, 255), (215, 95, 0), (215, 95, 95), (215, 95, 135), (215, 95, 175), (215, 95, 215), (215, 95, 255), (215, 135, 0), (215, 135, 95), (215, 135, 135), (215, 135, 175), (215, 135, 215), (215, 135, 255), (215, 175, 0), (215, 175, 95), (215, 175, 135), (215, 175, 175), (215, 175, 215), (215, 175, 255), (215, 215, 0), (215, 215, 95), (215, 215, 135), (215, 215, 175), (215, 215, 215), (215, 215, 255), (215, 255, 0), (215, 255, 95), (215, 255, 135), (215, 255, 175), (215, 255, 215), (215, 255, 255), (255, 0, 0), (255, 0, 95), (255, 0, 135), (255, 0, 175), (255, 0, 215), (255, 0, 255), (255, 95, 0), (255, 95, 95), (255, 95, 135), (255, 95, 175), (255, 95, 215), (255, 95, 255), (255, 135, 0), (255, 135, 95), (255, 135, 135), (255, 135, 175), (255, 135, 215), (255, 135, 255), (255, 175, 0), (255, 175, 95), (255, 175, 135), (255, 175, 175), (255, 175, 215), (255, 175, 255), (255, 215, 0), (255, 215, 95), (255, 215, 135), (255, 215, 175), (255, 215, 215), (255, 215, 255), (255, 255, 0), (255, 255, 95), (255, 255, 135), (255, 255, 175), (255, 255, 215), (255, 255, 255), (8, 8, 8), (18, 18, 18), (28, 28, 28), (38, 38, 38), (48, 48, 48), (58, 58, 58), (68, 68, 68), (78, 78, 78), (88, 88, 88), (98, 98, 98), (108, 108, 108), (118, 118, 118), (128, 128, 128), (138, 138, 138), (148, 148, 148), (158, 158, 158), (168, 168, 168), (178, 178, 178), (188, 188, 188), (198, 198, 198), (208, 208, 208), (218, 218, 218), (228, 228, 228), (238, 238, 238)]

184.416667

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838

4,426

2.634845

0.093079

0.065217

0.02038

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0.053442

0

0.544868

0.194306

4,426

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192.434783

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1

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1

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null

0

4

9da0b456159193544b077808915f9f264b951314

242

py

Python

adttools/helper/__init__.py

kent010341/azure-digital-twins-tools

fc2700465cb5b7f3130c1ec0c0dd3fcba39de8c8

[ "MIT" ]

null

adttools/helper/__init__.py

kent010341/azure-digital-twins-tools

fc2700465cb5b7f3130c1ec0c0dd3fcba39de8c8

[ "MIT" ]

2

2022-03-28T08:09:45.000Z

2022-03-28T08:25:32.000Z

adttools/helper/__init__.py

kent010341/azure-digital-twins-tools

fc2700465cb5b7f3130c1ec0c0dd3fcba39de8c8

[ "MIT" ]

null

from .ModelHelper import ModelHelper from .RelationshipHelper import RelationshipHelper from .PropertyHelper import PropertyHelper from .TwinHelper import TwinHelper from .QueryHelper import QueryHelper from .DeployHelper import DeployHelper

34.571429

50

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24

242

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0

0.099174

242

6

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40.333333

0.972477

0

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true

0

1

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null

0

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null

0

1

0

1

0

4

9db416e35e9f04304fb70477c1bdb3ff05a18f75

204

py

Python

helpers/DataLoader.py

sevmardi/Social_network_analysis

d299fc0120f12c2ad8ca871cad160a66873dcae0

[ "MIT" ]

1

2021-09-16T17:01:07.000Z

helpers/DataLoader.py

sevmardi/Social_network_analysis

d299fc0120f12c2ad8ca871cad160a66873dcae0

[ "MIT" ]

null

helpers/DataLoader.py

sevmardi/Social_network_analysis

d299fc0120f12c2ad8ca871cad160a66873dcae0

[ "MIT" ]

null

import numpy as np class DataLoader: def load_medium(self): data = "../data/medium.in" return data def load_large(self): data = "../data/large.in" return data

14.571429

34

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26

204

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204

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false

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null

0

1

0

1

0

4

9db43bfa4545eb015cbc1d5b471dc7f7173c373d

136

py

Python

siina/__init__.py

ahartikainen/Siina

0a229b4e2082707a6e6fbb6b677e7b44b7567a8e

[ "Apache-2.0" ]

12

2018-01-01T08:49:41.000Z

2021-09-09T11:21:34.000Z

siina/__init__.py

ahartikainen/Siina

0a229b4e2082707a6e6fbb6b677e7b44b7567a8e

[ "Apache-2.0" ]

1

2019-03-13T10:59:14.000Z

2019-08-15T20:15:26.000Z

siina/__init__.py

ahartikainen/Siina

0a229b4e2082707a6e6fbb6b677e7b44b7567a8e

[ "Apache-2.0" ]

2

2019-08-20T21:18:09.000Z

2020-11-17T00:18:45.000Z

"""Init for the package.""" from .core import Radar from .dzt import read_dzt from .filters import butterworth __version__ = "19.8.28"

19.428571

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null

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1

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1

0

4

9de4330cafcd5c2d73fade72fb6bd8da5f9724ac

51

py

Python

backend/run.py

uvasomrc/ed-platform

6453c7404c44765e325ccc1be2b9c76726cb7682

[ "MIT" ]

null

backend/run.py

uvasomrc/ed-platform

6453c7404c44765e325ccc1be2b9c76726cb7682

[ "MIT" ]

22

2018-01-18T00:55:11.000Z

2018-05-31T16:34:15.000Z

backend/run.py

uvasomrc/ed-platform

6453c7404c44765e325ccc1be2b9c76726cb7682

[ "MIT" ]

null

from ed_platform import app app.run(threaded=True)

17

27

0.823529

9

51

4.555556

0.888889

0

0.098039

51

2

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0.891304

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true

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9dffcdf3a4d3d5896eac631f098b3f494556588f

49

py

Python

Day 2/file2.py

adamsaparudin/python-datascience

1b4164bb8a091f88def950f07108fe023737399c

[ "MIT" ]

null

Day 2/file2.py

adamsaparudin/python-datascience

1b4164bb8a091f88def950f07108fe023737399c

[ "MIT" ]

null

Day 2/file2.py

adamsaparudin/python-datascience

1b4164bb8a091f88def950f07108fe023737399c

[ "MIT" ]

null

myfile = open("myfile1.txt") print(myfile.read())

24.5

28

0.714286

7

49

5

0.857143

0

0.021739

0.061224

49

2

29

24.5

0.73913

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1

0

false

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0

null

0

1

0

null

0

1

0

4

3b03e83385729b6495c6426e14499f0f0b0d54a3

190

py

Python

tests/proxies/empty_child.py

webu/dalec

ddc4f3c4627c84c5a70e9052d28f77d6ff8755a7

[ "BSD-3-Clause" ]

null

tests/proxies/empty_child.py

webu/dalec

ddc4f3c4627c84c5a70e9052d28f77d6ff8755a7

[ "BSD-3-Clause" ]

null

tests/proxies/empty_child.py

webu/dalec

ddc4f3c4627c84c5a70e9052d28f77d6ff8755a7

[ "BSD-3-Clause" ]

null

class EmptyChildProxy: """ Bad because does not extends dalec.proxy.Proxy """ app = "empty_child" def _fetch(self, *args, **kwargs): print("Are you my mummy?")

19

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190

4.869565

0.956522

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0.268421

190

9

51

21.111111

0.805755

0.242105

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null

0

1

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1

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d18b29de6492d80182b53d0fe82db98f6999e9b6

184

py

Python

backend/api/admin.py

saulhappy/drf

5e62da54cdf0f0fead742c891d34e7eacd488a1b

[ "MIT" ]

null

backend/api/admin.py

saulhappy/drf

5e62da54cdf0f0fead742c891d34e7eacd488a1b

[ "MIT" ]

null

backend/api/admin.py

saulhappy/drf

5e62da54cdf0f0fead742c891d34e7eacd488a1b

[ "MIT" ]

null

from django.contrib import admin from products.models import Product @admin.register(Product) class ProductAdmin(admin.ModelAdmin): list_display = ("title", "content", "price")

20.444444

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0.76087

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184

6.318182

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184

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0.4

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null

0

1

0

1

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4

d1a52e453f05e7c7fd81648d7c9aad1d09e867fe

13,009

py

Python

scvi/models/iavae.py

jimmayxu/scVI

23cb7597e0b0677736a14c903c8053ad62c74938

[ "MIT" ]

null

scvi/models/iavae.py

jimmayxu/scVI

23cb7597e0b0677736a14c903c8053ad62c74938

[ "MIT" ]

null

scvi/models/iavae.py

jimmayxu/scVI

23cb7597e0b0677736a14c903c8053ad62c74938

[ "MIT" ]

null

import warnings import torch import torch.nn as nn import torch.distributions as dist import torch.nn.functional as F from .log_likelihood import log_zinb_positive, log_nb_positive from .modules import DecoderSCVI, Encoder, DecoderPoisson from .iaf_encoder import EncoderIAF from .utils import one_hot class IAVAE(nn.Module): def __init__( self, n_input: int, n_batch: int = 0, n_labels: int = 0, n_hidden: int = 128, n_latent: int = 10, n_layers: int = 1, t: int = 3, dropout_rate: float = 5e-2, dispersion: str = "gene", log_variational: bool = True, reconstruction_loss: str = "zinb", do_h: bool = False, ): """ EXPERIMENTAL: Posterior functionalities may not be working Model does not implement Forward. Training should be performed with ratio_loss method :param n_input: :param n_batch: :param n_labels: :param n_hidden: :param n_latent: :param n_layers: :param t: Number of autoregressive steps :param dropout_rate: :param dispersion: :param log_variational: :param reconstruction_loss: """ super().__init__() warnings.warn('EXPERIMENTAL: Posterior functionalities may not be working') self.dispersion = dispersion self.n_latent = n_latent self.log_variational = log_variational self.reconstruction_loss = reconstruction_loss # Automatically deactivate if useless self.n_batch = n_batch self.n_labels = n_labels if self.dispersion == "gene": self.px_r = torch.nn.Parameter(torch.randn(n_input)) elif self.dispersion == "gene-batch": self.px_r = torch.nn.Parameter(torch.randn(n_input, n_batch)) elif self.dispersion == "gene-label": self.px_r = torch.nn.Parameter(torch.randn(n_input, n_labels)) else: # gene-cell pass # latent space representation self.z_encoder = EncoderIAF( n_in=n_input, n_latent=n_latent, n_cat_list=None, n_layers=n_layers, t=t, n_hidden=n_hidden, dropout_rate=dropout_rate, do_h=do_h ) # l encoder goes from n_input-dimensional data to 1-d library size self.l_encoder = Encoder( n_input, 1, n_layers=1, n_hidden=n_hidden, dropout_rate=dropout_rate ) # decoder goes from n_latent-dimensional space to n_input-d data self.decoder = DecoderSCVI( n_latent, n_input, n_cat_list=[n_batch], n_layers=n_layers, n_hidden=n_hidden, ) def inference(self, x, batch_index=None, y=None, n_samples=1): """ :param x: :param batch_index: :param y: :param n_samples: :return: """ x_ = x if self.log_variational: x_ = torch.log(1 + x_) # Sampling ql_m, ql_v, library = self.l_encoder(x_) n_batch = len(ql_m) if n_samples > 1: # Managing library ql_m = ql_m.unsqueeze(0).expand((n_samples, ql_m.size(0), ql_m.size(1))) ql_v = ql_v.unsqueeze(0).expand((n_samples, ql_v.size(0), ql_v.size(1))) library = dist.Normal(ql_m, ql_v.sqrt()).sample() # Managing z Latent z = torch.zeros(n_samples, n_batch, self.n_latent, device=ql_m.device, dtype=ql_m.dtype) log_qz_x = torch.zeros(n_samples, n_batch, device=ql_m.device, dtype=ql_m.dtype) for idx in range(n_samples): zi, log_qz_x_i = self.z_encoder(x_, y) z[idx, :] = zi log_qz_x[idx, :] = log_qz_x_i else: z, log_qz_x = self.z_encoder(x_, y) assert z.shape[0] == library.shape[0], (z.shape, library.shape) # library = torch.clamp(library, max=13) px_scale, px_r, px_rate, px_dropout = self.decoder(self.dispersion, z, library, batch_index, y) if self.dispersion == "gene-label": px_r = F.linear(one_hot(y, self.n_labels), self.px_r) # px_r gets transposed - last dimension is nb genes elif self.dispersion == "gene-batch": px_r = F.linear(one_hot(batch_index, self.n_batch), self.px_r) elif self.dispersion == "gene": px_r = self.px_r px_r = torch.exp(px_r) return dict( px_scale=px_scale, px_r=px_r, px_rate=px_rate, px_dropout=px_dropout, z=z, log_qz_x=log_qz_x, ql_m=ql_m, ql_v=ql_v, library=library ) def ratio_loss(self, x, local_l_mean, local_l_var, batch_index=None, y=None, return_mean=True): outputs = self.inference(x, batch_index=batch_index, y=y, n_samples=1) ql_m = outputs['ql_m'] ql_v = outputs['ql_v'] library = outputs['library'] px_rate = outputs['px_rate'] z = outputs['z'] log_qz_x = outputs['log_qz_x'] px_r = outputs['px_r'] px_dropout = outputs['px_dropout'] # variationnal probas computation log_ql_x = dist.Normal(ql_m, torch.sqrt(ql_v)).log_prob(library).sum(dim=-1) # priors computation log_pz = dist.Normal(torch.zeros_like(z), torch.ones_like(z)).log_prob(z).sum(dim=-1) log_pl = dist.Normal(local_l_mean, torch.sqrt(local_l_var)).log_prob(library).sum(dim=-1) # reconstruction proba computation log_px_zl = -self.get_reconstruction_loss(x, px_rate, px_r, px_dropout) assert log_px_zl.shape == log_pl.shape == log_pz.shape == log_qz_x.shape == log_ql_x.shape ratio = ( log_px_zl + log_pz + log_pl - log_qz_x - log_ql_x ) if not return_mean: return ratio elbo = ratio.mean(dim=0) return -elbo def get_reconstruction_loss(self, x, px_rate, px_r, px_dropout): # Reconstruction Loss if self.reconstruction_loss == 'zinb': reconst_loss = -log_zinb_positive(x, px_rate, px_r, px_dropout) elif self.reconstruction_loss == 'nb': reconst_loss = -log_nb_positive(x, px_rate, px_r) else: raise NotImplementedError return reconst_loss def iwelbo(self, x, local_l_mean, local_l_var, batch_index=None, y=None, k=3, single_backward=False): n_batch = len(x) log_ratios = torch.zeros(k, n_batch, device='cuda', dtype=torch.float) for it in range(k): log_ratios[it, :] = self.ratio_loss( x, local_l_mean, local_l_var, batch_index=batch_index, y=y, return_mean=False ) normalizers, _ = log_ratios.max(dim=0) w_tilde = torch.softmax(log_ratios - normalizers, dim=0).detach() if not single_backward: loss = - (w_tilde * log_ratios).sum(dim=0) else: selected_k = torch.distributions.Categorical(probs=w_tilde.transpose(-1, -2)).sample() assert len(selected_k) == n_batch loss = - log_ratios[selected_k, torch.arange(n_batch)] return loss.mean(dim=0) class IALogNormalPoissonVAE(nn.Module): def __init__( self, n_input: int, n_batch: int = 0, n_labels: int = 0, n_hidden: int = 128, n_latent: int = 10, n_layers: int = 1, t: int = 3, dropout_rate: float = 5e-2, log_variational: bool = True, gt_decoder: nn.Module = None, do_h: bool = False, ): """ """ self.trained_decoder = gt_decoder is None super().__init__() warnings.warn('EXPERIMENTAL: Posterior functionalities may not be working') self.n_latent = n_latent self.log_variational = log_variational # Automatically deactivate if useless self.n_batch = n_batch self.n_labels = n_labels # decoder goes from n_latent-dimensional space to n_input-d data if self.trained_decoder: self.decoder = DecoderPoisson( n_latent, n_input, n_cat_list=[n_batch], n_layers=n_layers, n_hidden=n_hidden, ) else: self.decoder = gt_decoder # latent space representation self.z_encoder = EncoderIAF( n_in=n_input, n_latent=n_latent, n_cat_list=None, n_layers=n_layers, t=t, n_hidden=n_hidden, dropout_rate=dropout_rate, do_h=do_h ) # l encoder goes from n_input-dimensional data to 1-d library size self.l_encoder = Encoder( n_input, 1, n_layers=1, n_hidden=n_hidden, dropout_rate=dropout_rate ) def inference(self, x, batch_index=None, y=None, n_samples=1): """ :param x: :param batch_index: :param y: :param n_samples: :return: """ x_ = x if self.log_variational: x_ = torch.log(1 + x_) # Sampling ql_m, ql_v, library = self.l_encoder(x_) n_batch = len(ql_m) if n_samples > 1: # Managing library ql_m = ql_m.unsqueeze(0).expand((n_samples, ql_m.size(0), ql_m.size(1))) ql_v = ql_v.unsqueeze(0).expand((n_samples, ql_v.size(0), ql_v.size(1))) library = dist.Normal(ql_m, ql_v.sqrt()).sample() # Managing z Latent z = torch.zeros(n_samples, n_batch, self.n_latent, device=ql_m.device, dtype=ql_m.dtype) log_qz_x = torch.zeros(n_samples, n_batch, device=ql_m.device, dtype=ql_m.dtype) for idx in range(n_samples): zi, log_qz_x_i = self.z_encoder(x_, y) z[idx, :] = zi log_qz_x[idx, :] = log_qz_x_i else: z, log_qz_x = self.z_encoder(x_, y) # library = torch.clamp(library, max=13) assert z.shape[0] == library.shape[0] # assert z.shape[1] == library.shape[1], 'Different n_batch' # px_rate = self.decoder(self.dispersion, z, library, batch_index, y) px_rate = self.decoder(z, library, batch_index, y) return dict( px_rate=px_rate, z=z, log_qz_x=log_qz_x, ql_m=ql_m, ql_v=ql_v, library=library ) def ratio_loss(self, x, local_l_mean, local_l_var, batch_index=None, y=None, return_mean=True): outputs = self.inference(x, batch_index=batch_index, y=y, n_samples=1) ql_m = outputs['ql_m'] ql_v = outputs['ql_v'] library = outputs['library'] px_rate = outputs['px_rate'] z = outputs['z'] log_qz_x = outputs['log_qz_x'] # variationnal probas computation log_ql_x = dist.Normal(ql_m, torch.sqrt(ql_v)).log_prob(library).sum(dim=-1) # priors computation log_pz = dist.Normal(torch.zeros_like(z), torch.ones_like(z)).log_prob(z).sum(dim=-1) log_pl = dist.Normal(local_l_mean, torch.sqrt(local_l_var)).log_prob(library).sum(dim=-1) # reconstruction proba computation log_px_zl = -self.get_reconstruction_loss(x, px_rate) log_ratio = log_px_zl + log_pz - log_qz_x # ratio = ( # log_px_zl + log_pz + log_pl # - log_qz_x - log_ql_x # ) if not return_mean: return log_ratio elbo = log_ratio.mean(dim=0) return -elbo @staticmethod def get_reconstruction_loss(x, rate): rl = -torch.distributions.Poisson(rate).log_prob(x) assert rl.dim() == rate.dim() # rl should be (n_batch, n_input) # or (n_samples, n_batch, n_input) return torch.sum(rl, dim=-1) def iwelbo(self, x, local_l_mean, local_l_var, batch_index=None, y=None, k=3, single_backward=False): n_batch = len(x) log_ratios = torch.zeros(k, n_batch, device='cuda', dtype=torch.float) for it in range(k): log_ratios[it, :] = self.ratio_loss( x, local_l_mean, local_l_var, batch_index=batch_index, y=y, return_mean=False ) normalizers, _ = log_ratios.max(dim=0) w_tilde = torch.softmax(log_ratios - normalizers, dim=0).detach() if not single_backward: loss = - (w_tilde * log_ratios).sum(dim=0) else: selected_k = torch.distributions.Categorical(probs=w_tilde.transpose(-1, -2)).sample() assert len(selected_k) == n_batch loss = - log_ratios[selected_k, torch.arange(n_batch)] return loss.mean(dim=0)

34.97043

118

0.576601

1,796

13,009

3.888085

0.111915

0.013748

0.018903

0.006874

0.759559

0.740656

0.717457

0.692682

0.68008

0

0.009149

0.319471

13,009

371

119

35.06469

0.779623

0.121685

0

0.715356

0

0.023504

0

0.022472

1

0.037453

false

0.003745

0.033708

0

0.116105

0

null

0

1

0

1

0

1

0

null

0

4

d1ad03cea5b141d2ef7932b45a67128abcd9bd4f

1,474

py

Python

tests/test_moving_average.py

smiszym/manokee

afb63b8ce5ba3f83bb924965b8d5098a6d28c474

[ "MIT" ]

null

tests/test_moving_average.py

smiszym/manokee

afb63b8ce5ba3f83bb924965b8d5098a6d28c474

[ "MIT" ]

14

2021-03-11T02:05:20.000Z

2022-03-12T01:05:11.000Z

tests/test_moving_average.py

smiszym/manokee

afb63b8ce5ba3f83bb924965b8d5098a6d28c474

[ "MIT" ]

null

from manokee.ping import MovingAverage def test_moving_average_constant(): avg = MovingAverage(window=4) assert avg.get() is None for _ in range(20): assert avg.new_value(4) == 4 assert avg.get() == 4 def test_moving_average_increasing(): avg = MovingAverage(window=4) assert avg.get() is None assert avg.new_value(4) == 4 assert avg.new_value(5) == 4.5 assert avg.new_value(6) == 5 assert avg.new_value(7) == 5.5 assert avg.new_value(8) == 6.5 assert avg.new_value(9) == 7.5 assert avg.new_value(10) == 8.5 assert avg.get() == 8.5 def test_moving_average_decreasing(): avg = MovingAverage(window=4) assert avg.get() is None assert avg.new_value(4) == 4 assert avg.new_value(3) == 3.5 assert avg.new_value(2) == 3 assert avg.new_value(1) == 2.5 assert avg.new_value(0) == 1.5 assert avg.new_value(-1) == 0.5 assert avg.new_value(-2) == -0.5 assert avg.new_value(-3) == -1.5 assert avg.get() == -1.5 def test_moving_average_alternating(): avg = MovingAverage(window=4) assert avg.get() is None assert avg.new_value(4) == 4 assert avg.new_value(3) == 3.5 assert avg.new_value(4) == (4 + 3 + 4) / 3 assert avg.new_value(3) == 3.5 assert avg.new_value(4) == 3.5 assert avg.new_value(3) == 3.5 assert avg.new_value(4) == 3.5 assert avg.new_value(3) == 3.5 assert avg.new_value(4) == 3.5 assert avg.get() == 3.5

28.346154

46

0.623474

255

1,474

3.454902

0.141176

0.337117

0.340522

0.482406

0.797957

0.624291

0.533485

0.501703

0.455165

0

0.074561

0.226594

1,474

51

47

28.901961

0.698246

0

0.465116

0

0.767442

1

0.093023

false

0

0.023256

0

0.116279

0

null

1

0

null

0

1

0

4

d1b4e45f06b0dc3820734b562d1caa8f6c4686e5

102

py

Python

Projects in Python/projeto_18.py

gusta-ino/Projects-in-Python

4cc8e636f1e940b345070cf0a4ab153bc0d50044

[ "MIT" ]

1

2022-03-17T17:14:31.000Z

Projects in Python/projeto_18.py

gusta-ino/Projects-in-Python

4cc8e636f1e940b345070cf0a4ab153bc0d50044

[ "MIT" ]

null

Projects in Python/projeto_18.py

gusta-ino/Projects-in-Python

4cc8e636f1e940b345070cf0a4ab153bc0d50044

[ "MIT" ]

null

#exe numeros aleatorios import random num = random.randint(1 ,1000) #num = random.random() print(num)

17

29

0.745098

15

102

5.066667

0.666667

0.236842

0

0.05618

0.127451

102

6

30

17

0.797753

0.421569

0

1

0

false

0

0.333333

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

4

0617f69863d24d514afc41657f0af94f59d3134f

61

py

Python

app.py

hariprasad1003/calcymath

8e395397ce128ece6e15ca16a87495841b4f5ad0

[ "MIT" ]

null

app.py

hariprasad1003/calcymath

8e395397ce128ece6e15ca16a87495841b4f5ad0

[ "MIT" ]

null

app.py

hariprasad1003/calcymath

8e395397ce128ece6e15ca16a87495841b4f5ad0

[ "MIT" ]

null

import __init__ as cm add_num = cm.add(2,1) print(add_num)

12.2

22

0.721311

13

61

2.923077

0.692308

0.263158

0

0.039216

0.163934

61

4

23

15.25

0.705882

0

1

0

false

0

0.333333

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

4

ae246a57357186b5ec00fc8ff2edacf71fa3b72f

765

py

Python

setup.py

trojsten/judge-client

75d28dd7e638ca28bae6b16b256dba16f39385ff

[ "MIT" ]

2

2018-08-19T15:00:02.000Z

2020-06-17T11:54:47.000Z

setup.py

trojsten/judge-client

75d28dd7e638ca28bae6b16b256dba16f39385ff

[ "MIT" ]

1

2022-01-19T21:02:45.000Z

setup.py

trojsten/judge-client

75d28dd7e638ca28bae6b16b256dba16f39385ff

[ "MIT" ]

null

import setuptools setuptools.setup( name="trojsten_judge_client", version="1.0.2", url="https://github.com/trojsten/judge-client", author="Michal Hozza", author_email="mhozza@gmail.com", description="Client for Trojsten Judge System.", long_description=open('README.rst').read(), packages=setuptools.find_packages(), test_suite='tests', install_requires=['six'], classifiers=[ 'Development Status :: 2 - Pre-Alpha', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', ], )

27.321429

52

0.623529

81

765

5.802469

0.592593

0.242553

0.319149

0.165957

0

0.020168

0.222222

765

27

53

28.333333

0.769748

0

0.511111

0.027451

0

1

0

true

0

0.045455

0

0.045455

0

null

1

0

null

0

1

0

4

ae4136053df05242fb35aa825c08de850d49da33

18

py

Python

crawlers/fiction/___litmir.me.py

fostroll/ru_corner

defb681aa9311c2dd6ed98d1b934453c29e9a750

[ "Apache-2.0" ]

null

crawlers/fiction/___litmir.me.py

fostroll/ru_corner

defb681aa9311c2dd6ed98d1b934453c29e9a750

[ "Apache-2.0" ]

null

crawlers/fiction/___litmir.me.py

fostroll/ru_corner

defb681aa9311c2dd6ed98d1b934453c29e9a750

[ "Apache-2.0" ]

null

ERROR: type should be string, got "https://litmir.me\n"

9

17

0.722222

3

18

4.333333

1

0

0.055556

18

1

18

0.764706

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

ae571407bf851b8b8183473a12f772abbf410804

123

py

Python

sandbox/example_app/models.py

stefanobettini/django-gdpr-helpers

c2e525cf2d28c64f9c8a83c8ffcb118684459271

[ "BSD-3-Clause" ]

null

sandbox/example_app/models.py

stefanobettini/django-gdpr-helpers

c2e525cf2d28c64f9c8a83c8ffcb118684459271

[ "BSD-3-Clause" ]

3

2021-11-11T11:03:48.000Z

2021-11-20T07:48:12.000Z

sandbox/example_app/models.py

stefanobettini/django-gdpr-helpers

c2e525cf2d28c64f9c8a83c8ffcb118684459271

[ "BSD-3-Clause" ]

2

2020-07-28T22:53:51.000Z

2021-05-19T09:10:59.000Z

from django.db import models class ExampleModel(models.Model): first_name = models.CharField("Name", max_length=255)

20.5

57

0.764228

17

123

5.411765

0.823529

0

0.028037

0.130081

123

5

58

24.6

0.831776

0

0.03252

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ae60a1d942ffecadb7f6ca038f0e802ee469a279

106

py

Python

training/ticketing_system/apps.py

aberon10/training

7f418d563280b9d1ab939935206b023e4206cb54

[ "MIT" ]

null

training/ticketing_system/apps.py

aberon10/training

7f418d563280b9d1ab939935206b023e4206cb54

[ "MIT" ]

null

training/ticketing_system/apps.py

aberon10/training

7f418d563280b9d1ab939935206b023e4206cb54

[ "MIT" ]

null

from django.apps import AppConfig class TicketingSystemConfig(AppConfig): name = 'ticketing_system'

17.666667

39

0.792453

11

106

7.545455

0.909091

0

0.141509

106

5

40

21.2

0.912088

0

0.150943

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ae675a82546204f05352b56f41c3a1928e1a39cd

113

py

Python

src/tts.py

kwonbosung02/Harmony_hackathon

a5a5acd2e171ae7566e0d49c3729c98e1c68036f

[ "MIT" ]

2

2020-07-12T12:03:33.000Z

2020-07-13T04:57:43.000Z

src/tts.py

kwonbosung02/Harmony_hackathon

a5a5acd2e171ae7566e0d49c3729c98e1c68036f

[ "MIT" ]

null

src/tts.py

kwonbosung02/Harmony_hackathon

a5a5acd2e171ae7566e0d49c3729c98e1c68036f

[ "MIT" ]

null

from gtts import gTTS import os tts = gTTS(text='사진 찍습니다. 하나...... 둘...... 셋', lang='ko') tts.save("music3.mp3")

22.6

57

0.610619

20

113

3.45

0.8

0.289855

0

0.020408

0.132743

113

4

58

28.25

0.683673

0

0.345133

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

ae751e1aa4bc79e1345e0afbb50dee045cb9b28e

218

py

Python

rx/internal/__init__.py

rlugojr/RxPy

9f9b1de0ab833e53b0d1626a3b43a6c9424f01ec

[ "ECL-2.0", "Apache-2.0" ]

78

2015-01-22T23:57:01.000Z

2021-06-04T15:16:22.000Z

rx/internal/__init__.py

rlugojr/RxPy

9f9b1de0ab833e53b0d1626a3b43a6c9424f01ec

[ "ECL-2.0", "Apache-2.0" ]

1

2015-10-19T12:59:57.000Z

rx/internal/__init__.py

rlugojr/RxPy

9f9b1de0ab833e53b0d1626a3b43a6c9424f01ec

[ "ECL-2.0", "Apache-2.0" ]

11

2015-02-16T20:43:45.000Z

2018-05-30T11:46:50.000Z

from .priorityqueue import PriorityQueue from .enumerable import Enumerable from .basic import noop, default_error from .exceptions import SequenceContainsNoElementsError, ArgumentOutOfRangeException, DisposedException

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ae8db5ae2dd212bcdf231820a14bf5ec2fa5299f

65

py

Python

qal/common/tests/resources/__init__.py

OptimalBPM/qal

4d7a31c0d68042b4110e1fa3e733711e0fdd473e

[ "Unlicense" ]

3

2016-05-02T14:35:55.000Z

2021-08-31T14:19:15.000Z

qal/common/tests/resources/__init__.py

OptimalBPM/qal

4d7a31c0d68042b4110e1fa3e733711e0fdd473e

[ "Unlicense" ]

null

qal/common/tests/resources/__init__.py

OptimalBPM/qal

4d7a31c0d68042b4110e1fa3e733711e0fdd473e

[ "Unlicense" ]

1

2018-03-18T13:19:52.000Z

"""Contains all the files needed for qal.common.tests to work."""

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8824582b855ac3170c0ffd9295bc47e698d347e1

2,337

py

Python

UnitTests/test_SpectralSettings_test.py

r0m30d4c/DlubalRFEM6

4bd0d744007bdc27d86d6ce535a507cdc81552ca

[ "MIT" ]

null

UnitTests/test_SpectralSettings_test.py

r0m30d4c/DlubalRFEM6

4bd0d744007bdc27d86d6ce535a507cdc81552ca

[ "MIT" ]

null

UnitTests/test_SpectralSettings_test.py

r0m30d4c/DlubalRFEM6

4bd0d744007bdc27d86d6ce535a507cdc81552ca

[ "MIT" ]

null

import sys sys.path.append(".") from RFEM.Loads.lineLoad import LineLoad from RFEM.enums import * from RFEM.dataTypes import * from RFEM.initModel import * from RFEM.BasicObjects.material import * from RFEM.BasicObjects.section import * from RFEM.BasicObjects.thickness import * from RFEM.BasicObjects.node import * from RFEM.BasicObjects.line import * from RFEM.BasicObjects.member import * from RFEM.BasicObjects.surface import * from RFEM.BasicObjects.solid import * from RFEM.BasicObjects.opening import * from RFEM.BasicObjects.lineSet import * from RFEM.BasicObjects.memberSet import * from RFEM.BasicObjects.surfaceSet import * from RFEM.BasicObjects.solidSet import * from RFEM.TypesForNodes.nodalSupport import * from RFEM.TypesForMembers.memberHinge import * from RFEM.LoadCasesAndCombinations.staticAnalysisSettings import * from RFEM.LoadCasesAndCombinations.spectralAnalysisSettings import * from RFEM.LoadCasesAndCombinations.loadCase import * from RFEM.Loads.nodalLoad import * from RFEM.Loads.memberLoad import * from RFEM.Loads.surfaceLoad import * def test_spectral_analysis_settings(): clientModel.service.begin_modification('new') # Create Material Material(1, 'S235') #Create Spectral Analysis Settings SpectralAnalysisSettings(1, 'SpectralSettings_1', PeriodicResponseCombinationRule.SRSS, DirectionalComponentCombinationRule.SRSS) SpectralAnalysisSettings(2, 'SpectralSettings_2', PeriodicResponseCombinationRule.SRSS, DirectionalComponentCombinationRule.SCALED_SUM, equivalent_linear_combination=True, save_mode_results=True, signed_dominant_mode_results=True) SpectralAnalysisSettings(3, 'SpectralSettings_3', PeriodicResponseCombinationRule.SRSS, DirectionalComponentCombinationRule.SCALED_SUM, directional_component_scale_value=0.4) SpectralAnalysisSettings(4, 'SpectralSettings_4', PeriodicResponseCombinationRule.CQC, DirectionalComponentCombinationRule.SCALED_SUM, constant_d_for_each_mode=12) SpectralAnalysisSettings(5, 'SpectralSettings_5', PeriodicResponseCombinationRule.CQC, DirectionalComponentCombinationRule.SCALED_SUM, damping_for_cqc_rule=CqsDampingRule.DIFFERENT_FOR_EACH_MODE) SpectralAnalysisSettings(6, 'SpectralSettings_6', PeriodicResponseCombinationRule.CQC, DirectionalComponentCombinationRule.ABSOLUTE_SUM) print('Ready!') clientModel.service.finish_modification()

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884172d83ad0bb7874958e31f72dda8d93d42710

116

py

Python

socialdistribution/apps.py

lida9/CMPUT404-project-socialdistribution

8faebcc71e79b368888a5f5b9c007b7ea575f2d7

[ "W3C-20150513" ]

1

2021-03-01T04:44:17.000Z

socialdistribution/apps.py

lida9/CMPUT404-project-socialdistribution

8faebcc71e79b368888a5f5b9c007b7ea575f2d7

[ "W3C-20150513" ]

58

2021-02-20T03:09:15.000Z

2021-04-14T06:11:08.000Z

socialdistribution/apps.py

lida9/CMPUT404-project-socialdistribution

8faebcc71e79b368888a5f5b9c007b7ea575f2d7

[ "W3C-20150513" ]

null

from django.apps import AppConfig class SocialdistributionConfig(AppConfig): name = 'socialdistribution'

19.333333

43

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116

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116

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null

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88427627fbc56714029b5ad7590bfddbf713c741

395

py

Python

hug_explainable/__init__.py

hugapi/hug_explainable

c9953acbbf766ba1fc1ba644139dced3d67649a5

[ "MIT" ]

4

2016-11-06T04:52:14.000Z

2018-11-02T02:02:22.000Z

hug_explainable/__init__.py

hugapi/hug_explainable

c9953acbbf766ba1fc1ba644139dced3d67649a5

[ "MIT" ]

1

2018-11-03T05:04:17.000Z

hug_explainable/__init__.py

hugapi/hug_explainable

c9953acbbf766ba1fc1ba644139dced3d67649a5

[ "MIT" ]

2

2017-12-02T13:02:34.000Z

2018-11-02T02:04:17.000Z

"""Provides an on demand context manager that makes it easy to profile and explain code blocks / paths within hug.""" from hug_explainable._version import current from hug_explainable.directive import Explainable, explain from hug_explainable.type import explainable_toggle from hug_explainable.context_manager import explainable DONT_EXPLAIN = explainable_toggle(False) __version__ = current

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null

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4

8882120a639ec98078338978cd9249cc063935ab

142

py

Python

main.py

yasminhillis/detail_an_img

c6b9431c65c64d957599b2e2ea94cfca98f15026

[ "MIT" ]

1

2020-10-19T15:56:11.000Z

main.py

yasminhillis/detail_an_img

c6b9431c65c64d957599b2e2ea94cfca98f15026

[ "MIT" ]

null

main.py

yasminhillis/detail_an_img

c6b9431c65c64d957599b2e2ea94cfca98f15026

[ "MIT" ]

null

from PIL import Image from PIL import ImageFilter baby = Image.open('cute-baby.jpg') detail = baby.filter(ImageFilter.DETAIL) detail.show()

17.75

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142

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null

0

1

0

4

88abe39b0358fd35f1bb8d7923d702f4e6da1f0c

514

py

Python

GLQGridCoord.py

dchandan/PySHTOOLS

8b1c32229db87b43d3f40d8f759a3e939f9d9a54

[ "BSD-3-Clause" ]

1

2017-11-19T14:48:22.000Z

GLQGridCoord.py

dchandan/PySHTOOLS

8b1c32229db87b43d3f40d8f759a3e939f9d9a54

[ "BSD-3-Clause" ]

1

2018-01-30T07:08:55.000Z

GLQGridCoord.py

dchandan/PySHTOOLS

8b1c32229db87b43d3f40d8f759a3e939f9d9a54

[ "BSD-3-Clause" ]

null

from _shtools import glqgridcoord def GLQGridCoord(l): """ Given a maximum spherical harmonic degree, this routine will determine the latitude and longitude coordinates associated with grids that are used in the Gauss-Legendre quadratue spherical harmonic expansion routines. The coordinates are output in DEGREES. ARGUMENTS l - maximum spherical harmonic degree RETURNS latitudes, longitudes Both are 1D arrays containing """ return glqgridcoord(l)

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514

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