xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

b8f7c450dac70ccff034743e52b3931ea6911903

2,577

py

Python

api/src/domain/input_output/Keyboard.py

SamuelJansen/Application

6ab3202fb7de12782510f477a3e74d8800ea2927

[ "MIT" ]

null

api/src/domain/input_output/Keyboard.py

SamuelJansen/Application

6ab3202fb7de12782510f477a3e74d8800ea2927

[ "MIT" ]

null

api/src/domain/input_output/Keyboard.py

SamuelJansen/Application

6ab3202fb7de12782510f477a3e74d8800ea2927

[ "MIT" ]

null

import pygame as pg import keyboardFunction print('Keyboard library imported') class Keyboard: def __init__(self,application): self.application = application self.status = [0,0] self.printStatus = True def handleEvent(self,pgEvent): if pgEvent.type==pg.KEYDOWN : if pgEvent.key==pg.K_LEFT : self.status[0] = -1 self.keyboardPrint(keyboardFunction.KeyState.LEFT_ARROW_DOWN) elif pgEvent.key==pg.K_RIGHT : self.status[0] = 1 self.keyboardPrint(keyboardFunction.KeyState.RIGHT_ARROW_DOWN) if pgEvent.type==pg.KEYDOWN : if pgEvent.key==pg.K_UP : self.status[1] = -1 self.keyboardPrint(keyboardFunction.KeyState.UP_ARROW_DOWN) elif pgEvent.key==pg.K_DOWN : self.status[1] = 1 self.keyboardPrint(keyboardFunction.KeyState.DOWN_ARROW_DOWN) if pgEvent.type==pg.KEYUP : if pg.key.get_pressed()[pg.K_LEFT] and not pg.key.get_pressed()[pg.K_RIGHT] : self.status[0] = -1 self.keyboardPrint(keyboardFunction.KeyState.LEFT_ARROW_DOWN) elif pg.key.get_pressed()[pg.K_RIGHT] and not pg.key.get_pressed()[pg.K_LEFT] : self.status[0] = 1 self.keyboardPrint(keyboardFunction.KeyState.RIGHT_ARROW_DOWN) elif not pg.key.get_pressed()[pg.K_LEFT] and not pg.key.get_pressed()[pg.K_RIGHT] : self.status[0] = 0 if pgEvent.type==pg.KEYUP : if pg.key.get_pressed()[pg.K_UP] and not pg.key.get_pressed()[pg.K_DOWN] : self.status[1] = -1 self.keyboardPrint(keyboardFunction.KeyState.UP_ARROW_DOWN) elif pg.key.get_pressed()[pg.K_DOWN] and not pg.key.get_pressed()[pg.K_UP] : self.status[1] = 1 self.keyboardPrint(keyboardFunction.KeyState.DOWN_ARROW_DOWN) elif not pg.key.get_pressed()[pg.K_UP] and not pg.key.get_pressed()[pg.K_DOWN] : self.status[1] = 0 def keyboardPrint(self,keyState): if self.printStatus : print(keyState) # def handleEvent(self,pgEvent): # if self.keyboard.arrows[1]==-1 : # gl.playSound(upSound) # if self.keyboard.arrows[1]==1 : # gl.playSound(downSound) # if self.keyboard.arrows[0]==1 : # gl.playMusic('Sounds/TakeaWalk.mp3') # if self.keyboard.arrows[0]==-1 : # gl.playSound(leftSound)

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77076c128ae2a0736c926ed0a35fa4f8c68a7080

194

py

Python

controller/__init__.py

nlaurens/budgetRapportage

a6edb3525d04e6f2660671e8ba02e56881cc861d

[ "MIT" ]

null

controller/__init__.py

nlaurens/budgetRapportage

a6edb3525d04e6f2660671e8ba02e56881cc861d

[ "MIT" ]

null

controller/__init__.py

nlaurens/budgetRapportage

a6edb3525d04e6f2660671e8ba02e56881cc861d

[ "MIT" ]

null

from .index import Index from .report import Report from .admin import Admin from .graph import Graph from .view import View from .salaris import Salaris from .orderlist import Orderlist

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771c00a3e9b9c1ea10c9a5c93f390d20293c0e40

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py

Python

src/thinker.py

EmmanuelMess/TrafficSim

ce4377c67d9e4e581f40676b2c47e334307eefdc

[ "MIT" ]

null

src/thinker.py

EmmanuelMess/TrafficSim

ce4377c67d9e4e581f40676b2c47e334307eefdc

[ "MIT" ]

2

2019-11-19T22:33:26.000Z

2019-11-20T20:31:49.000Z

src/thinker.py

EmmanuelMess/TrafficSim

ce4377c67d9e4e581f40676b2c47e334307eefdc

[ "MIT" ]

null

class Thinker: def __init__(self): self.velocity = 0 def viewDistance(self): return 20 def step(self, deltaTime): self.velocity = 30 def getVelocity(self): return self.velocity

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5

7724f315411fd78c1e0cbd08280cceef766b8765

239

py

Python

app/robot/fetcher/auth/BaseAuth.py

matrufsc2/matrufsc2

d8a32c532281cc2a09a26444bd5b8497bc578b18

[ "RSA-MD" ]

4

2017-07-07T19:04:07.000Z

2018-07-04T18:03:49.000Z

app/robot/fetcher/auth/BaseAuth.py

matrufsc2/matrufsc2

d8a32c532281cc2a09a26444bd5b8497bc578b18

[ "RSA-MD" ]

6

2015-02-27T03:21:02.000Z

2019-07-30T19:58:35.000Z

app/robot/fetcher/auth/BaseAuth.py

matrufsc2/matrufsc2

d8a32c532281cc2a09a26444bd5b8497bc578b18

[ "RSA-MD" ]

null

__author__ = 'fernando' class BaseAuth(object): def has_data(self): raise NotImplementedError() def get_username(self): raise NotImplementedError() def get_password(self): raise NotImplementedError()

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77369d43ee4c53fdb436183d31430f1141cd4da7

81

py

Python

pyvisdk/do/object.py

Infinidat/pyvisdk

f2f4e5f50da16f659ccc1d84b6a00f397fa997f8

[ "MIT" ]

null

pyvisdk/do/object.py

Infinidat/pyvisdk

f2f4e5f50da16f659ccc1d84b6a00f397fa997f8

[ "MIT" ]

null

pyvisdk/do/object.py

Infinidat/pyvisdk

f2f4e5f50da16f659ccc1d84b6a00f397fa997f8

[ "MIT" ]

null

''' Created on Aug 7, 2011 @author: eplaster ''' from __builtin__ import object

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0

1

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5

91f5cfc2369718dc44c1c8613d10ae965248b21b

59

py

Python

pds_github_util/corral/__init__.py

NASA-PDS-Incubator/pds-github-util

fec9f28dd8e2f7fa3389910399cadef72cef7b0a

[ "Apache-2.0" ]

null

pds_github_util/corral/__init__.py

NASA-PDS-Incubator/pds-github-util

fec9f28dd8e2f7fa3389910399cadef72cef7b0a

[ "Apache-2.0" ]

42

2020-09-17T17:30:40.000Z

2022-03-31T21:09:19.000Z

pds_github_util/corral/__init__.py

nasa-pds-engineering-node/pds-github-util

d65aa96787e77fe8d4ee8c023d5c6ca32bbd13c9

[ "Apache-2.0" ]

3

2020-08-12T23:02:40.000Z

2021-09-30T11:57:59.000Z

from .cattle_head import CattleHead from .herd import Herd

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5

91f99ebf3167a26bfccdc652262cd3931168020b

138

py

Python

mini_lambda/tests/test_packaging.py

semiversus/python-mini-lambda

35ec4b6304b08ffd28939ffef7ead6b150dc1525

[ "BSD-3-Clause" ]

9

2018-09-11T13:01:40.000Z

2021-04-07T13:13:08.000Z

mini_lambda/tests/test_packaging.py

semiversus/python-mini-lambda

35ec4b6304b08ffd28939ffef7ead6b150dc1525

[ "BSD-3-Clause" ]

22

2017-11-15T08:47:20.000Z

2021-05-09T04:25:36.000Z

mini_lambda/tests/test_packaging.py

semiversus/python-mini-lambda

35ec4b6304b08ffd28939ffef7ead6b150dc1525

[ "BSD-3-Clause" ]

1

2018-10-01T18:46:19.000Z

def test_named_import(): import mini_lambda as ml o = ml.InputVar def test_import_from(): from mini_lambda import InputVar

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624b1163be7ae82592ce8ea52679fdedc7221ce8

778

py

Python

examples/renderer/server/base_server.py

justinkterry/MAgent

d7b8bfb67f41e943018445fa0441d53c9364f3ba

[ "MIT" ]

1,532

2017-12-05T12:13:44.000Z

2022-03-31T02:38:01.000Z

examples/renderer/server/base_server.py

justinkterry/MAgent

d7b8bfb67f41e943018445fa0441d53c9364f3ba

[ "MIT" ]

84

2017-12-06T07:51:19.000Z

2022-02-12T07:12:59.000Z

examples/renderer/server/base_server.py

justinkterry/MAgent

d7b8bfb67f41e943018445fa0441d53c9364f3ba

[ "MIT" ]

319

2017-12-06T05:56:59.000Z

2022-03-26T11:56:25.000Z

from abc import ABCMeta, abstractmethod class BaseServer: __metaclass__ = ABCMeta @abstractmethod def get_info(self): pass @abstractmethod def get_data(self, frame_id, x_range, y_range): pass @abstractmethod def add_agents(self, x, y, g): pass @abstractmethod def get_map_size(self): pass @abstractmethod def get_banners(self, frame_id, resolution): pass @abstractmethod def get_status(self, frame_id): pass @abstractmethod def keydown(self, frame_id, key, mouse_x, mouse_y): pass @abstractmethod def mousedown(self, frame_id, key, mouse_x, mouse_y): pass @abstractmethod def get_endscreen(self, frame_id): pass

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5

6268b5a5e1ff7ca51bdc52e4c3799d5135111978

1,337

py

Python

python/Day2.py

Simik31/AOC-2021

fc0459cf4f3af8439657969b4e957a35e5d56484

[ "WTFPL" ]

null

python/Day2.py

Simik31/AOC-2021

fc0459cf4f3af8439657969b4e957a35e5d56484

[ "WTFPL" ]

null

python/Day2.py

Simik31/AOC-2021

fc0459cf4f3af8439657969b4e957a35e5d56484

[ "WTFPL" ]

null

def part_1() -> None: h_pos: int = 0 v_pos: int = 0 with open("../data/day2.txt", "r") as dFile: for row in dFile.readlines(): value: int = int(row.split(" ")[1]) match row.split(" ")[0]: case "forward": h_pos += value case "down": v_pos += value case "up": v_pos -= value case _: raise ValueError(f"Unsupported command {row.split(' ')[0]}") print("Day: 2 | Part: 1 | Result:", h_pos * v_pos) def part_2() -> None: h_pos: int = 0 v_pos: int = 0 aim : int = 0 with open("../data/day2.txt", "r") as dFile: for row in dFile.readlines(): value: int = int(row.split(" ")[1]) match row.split(" ")[0]: case "forward": h_pos += value v_pos += value * aim case "down": aim += value case "up": aim -= value case _: raise ValueError(f"Unsupported command {row.split(' ')[0]}") print("Day: 2 | Part: 2 | Result:", h_pos * v_pos) if __name__ == "__main__": part_1() part_2()

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166

py

Python

ustreasurycurve/__init__.py

oisinkenny/USTreasuryCurve

214f299c57227232f608a560bb7ff8862b37ed3c

[ "MIT" ]

1

2020-07-24T14:48:51.000Z

ustreasurycurve/__init__.py

oisinkenny/USTreasuryCurve

214f299c57227232f608a560bb7ff8862b37ed3c

[ "MIT" ]

null

ustreasurycurve/__init__.py

oisinkenny/USTreasuryCurve

214f299c57227232f608a560bb7ff8862b37ed3c

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Sat Jul 11 20:27:21 2020 @author: oisin """ from .nominalRates import nominalRates from .realRates import realRates

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62742a76f6ecc1b2143089ab3914c883babe018a

226

py

Python

tests/test_Matrix.py

AlirezaRa/PySchoenberg

9c97fa62a51974238d97ee72868b26d2d18e05ff

[ "Apache-2.0" ]

8

2015-07-20T21:39:31.000Z

2017-01-11T17:28:15.000Z

tests/test_Matrix.py

aalireza/PySchoenberg

9c97fa62a51974238d97ee72868b26d2d18e05ff

[ "Apache-2.0" ]

null

tests/test_Matrix.py

aalireza/PySchoenberg

9c97fa62a51974238d97ee72868b26d2d18e05ff

[ "Apache-2.0" ]

1

2015-02-21T06:05:19.000Z

from PySchoenberg.core import Note, Row import pytest def test_matrix(): pass def test_transposition(): pass def test_numerical(): pass def test_row_traversal(): pass def test_column_traversal(): pass

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65727e05e032488c8982900fbdc27c08419fb7ab

123

py

Python

setup.py

flavio-casacurta/File-FixedS

a0435e52187af7b9a88f87644c76d0f611f1c3df

[ "MIT" ]

1

2018-09-21T13:05:06.000Z

setup.py

flavio-casacurta/File-FixedS

a0435e52187af7b9a88f87644c76d0f611f1c3df

[ "MIT" ]

null

setup.py

flavio-casacurta/File-FixedS

a0435e52187af7b9a88f87644c76d0f611f1c3df

[ "MIT" ]

1

2018-09-21T13:05:10.000Z

# setup.py # para gerar %run setup.py py2exe from distutils.core import setup import py2exe setup(console=["Hex2Zip.py"])

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233

py

Python

backend/api/serializers/contact_serializer.py

ferdn4ndo/infotrem

4728c5fe8385dcc0a1c75068429fa20e2afbf6f2

[ "MIT" ]

null

backend/api/serializers/contact_serializer.py

ferdn4ndo/infotrem

4728c5fe8385dcc0a1c75068429fa20e2afbf6f2

[ "MIT" ]

1

2020-06-21T18:38:14.000Z

2020-06-21T21:57:09.000Z

backend/api/serializers/contact_serializer.py

ferdn4ndo/infotrem

4728c5fe8385dcc0a1c75068429fa20e2afbf6f2

[ "MIT" ]

null

from api.models import Contact from .generic_audited_model_serializer import GenericAuditedModelSerializer class ContactSerializer(GenericAuditedModelSerializer): class Meta: model = Contact fields = '__all__'

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py

Python

appr/models/kv/redis/__init__.py

sergeyberezansky/appr

03168addf05c3efd779dad5168fb0a80d0512100

[ "Apache-2.0" ]

31

2017-07-05T07:25:31.000Z

2021-01-18T22:21:57.000Z

appr/models/kv/redis/__init__.py

sergeyberezansky/appr

03168addf05c3efd779dad5168fb0a80d0512100

[ "Apache-2.0" ]

48

2017-06-27T15:48:29.000Z

2021-01-26T21:02:27.000Z

appr/models/kv/redis/__init__.py

sergeyberezansky/appr

03168addf05c3efd779dad5168fb0a80d0512100

[ "Apache-2.0" ]

17

2017-07-05T07:25:38.000Z

2021-01-20T14:52:29.000Z

import os import redis REDIS_HOST = os.getenv("REDIS_HOST", "localhost") # @TODO redis-configuration redis_client = redis.StrictRedis(host=REDIS_HOST, port=6379, db=0)

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7

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02eb012cc2f7314547dbbb6cbeeb60cb6cdb88db

225

py

Python

03 Asset Classes/03 Futures/01 Futures/02 code.py

Jay-Jay-D/Documentation

c4894e5ac20355ec82ee0db19618ad7f17bf8592

[ "Apache-2.0" ]

null

03 Asset Classes/03 Futures/01 Futures/02 code.py

Jay-Jay-D/Documentation

c4894e5ac20355ec82ee0db19618ad7f17bf8592

[ "Apache-2.0" ]

null

03 Asset Classes/03 Futures/01 Futures/02 code.py

Jay-Jay-D/Documentation

c4894e5ac20355ec82ee0db19618ad7f17bf8592

[ "Apache-2.0" ]

null

# In Initialize future = self.AddFuture(Futures.Indices.SP500EMini, Resolution.Minute) future.SetFilter(timedelta(0), timedelta(182)) # or Lambda future.SetFilter(universe => universe.Expiration(timedelta(0), timedelta(182)))

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f3075170837be4781e389cec971a9eaaadb05aad

287

py

Python

bitmovin_api_sdk/encoding/infrastructure/azure/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

11

2019-07-03T10:41:16.000Z

2022-02-25T21:48:06.000Z

bitmovin_api_sdk/encoding/infrastructure/azure/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

8

2019-11-23T00:01:25.000Z

2021-04-29T12:30:31.000Z

bitmovin_api_sdk/encoding/infrastructure/azure/__init__.py

jaythecaesarean/bitmovin-api-sdk-python

48166511fcb9082041c552ace55a9b66cc59b794

[ "MIT" ]

13

2020-01-02T14:58:18.000Z

2022-03-26T12:10:30.000Z

from bitmovin_api_sdk.encoding.infrastructure.azure.azure_api import AzureApi from bitmovin_api_sdk.encoding.infrastructure.azure.regions.regions_api import RegionsApi from bitmovin_api_sdk.encoding.infrastructure.azure.azure_account_list_query_params import AzureAccountListQueryParams

71.75

118

0.912892

37

287

6.756757

0.432432

0.144

0.18

0.216

0.58

0.4

0

0.041812

287

3

119

95.666667

0.909091

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1

0

true

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

f310f0fefb69d9b85e9cfdcc4443d344ca229f64

163

py

Python

src/tests/test_server.py

ShannonTully/super-cool-chat

4f5e9920146dc0e27efac3d62a093d45d514034c

[ "MIT" ]

1

2018-12-07T02:49:05.000Z

src/tests/test_server.py

ShannonTully/super-cool-chat

4f5e9920146dc0e27efac3d62a093d45d514034c

[ "MIT" ]

16

2018-12-04T19:06:02.000Z

2018-12-05T02:06:54.000Z

src/tests/test_server.py

ShannonTully/super-cool-chat

4f5e9920146dc0e27efac3d62a093d45d514034c

[ "MIT" ]

null

from ..server import ChatServer from ..client import Client import pytest # @pytest.fixture # def server(): # output = ChatServer(4444) # return output

14.818182

31

0.699387

19

163

6

0.578947

0.210526

0

0.030769

0.202454

163

10

32

16.3

0.846154

0.472393

0

1

0

true

0

1

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

f31607ec296074c6b25d22992328d74b581462ae

102

py

Python

shi.py

salsita/shishito

caaf0a359abe5db256a30b88486f0bcd24bc6cbf

[ "MIT" ]

7

2015-01-05T15:07:22.000Z

2019-05-21T22:48:32.000Z

shi.py

salsita/shishito

caaf0a359abe5db256a30b88486f0bcd24bc6cbf

[ "MIT" ]

22

2015-01-05T11:54:50.000Z

2019-08-12T11:50:28.000Z

shi.py

salsita/shishito

caaf0a359abe5db256a30b88486f0bcd24bc6cbf

[ "MIT" ]

5

2015-05-06T09:39:15.000Z

2020-08-21T07:39:01.000Z

from shishito.shishito_runner import ShishitoRunner import os ShishitoRunner(os.getcwd()).run_tests()

25.5

51

0.843137

13

102

6.461538

0.692308

0

0.068627

102

3

52

34

0.884211

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

f3266125285818aec2e3ba93a22429670b682c43

25

py

Python

Nova pasta (2)/passagem_de_argumentos.py

cristest/python

378605e64604978b746b160432d899ef5ad31e3c

[ "Apache-2.0" ]

null

Nova pasta (2)/passagem_de_argumentos.py

cristest/python

378605e64604978b746b160432d899ef5ad31e3c

[ "Apache-2.0" ]

null

Nova pasta (2)/passagem_de_argumentos.py

cristest/python

378605e64604978b746b160432d899ef5ad31e3c

[ "Apache-2.0" ]

null

#Passagem de Argumentos

12.5

24

0.8

3

25

6.666667

1

0

0.16

25

1

25

0.952381

0.88

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

b87fc8781fe2ed599ee0d192c870bb418f11d1e2

3,991

py

Python

infos/forms.py

acdh-oeaw/bestiarium

49652a0471ba9aae3ea5246e694129c91256f651

[ "MIT" ]

null

infos/forms.py

acdh-oeaw/bestiarium

49652a0471ba9aae3ea5246e694129c91256f651

[ "MIT" ]

14

2021-11-08T09:24:04.000Z

2022-03-09T15:49:57.000Z

infos/forms.py

acdh-oeaw/bestiarium

49652a0471ba9aae3ea5246e694129c91256f651

[ "MIT" ]

null

# generated by appcreator from crispy_forms.bootstrap import Accordion, AccordionGroup from crispy_forms.helper import FormHelper from crispy_forms.layout import HTML, Div, Fieldset, Layout, MultiField, Submit from django import forms from .models import AboutTheProject, ProjectInst, TeamMember class ProjectInstFilterFormHelper(FormHelper): def __init__(self, *args, **kwargs): super(ProjectInstFilterFormHelper, self).__init__(*args, **kwargs) self.helper = FormHelper() self.form_class = 'genericFilterForm' self.form_method = 'GET' self.helper.form_tag = False self.add_input(Submit('Filter', 'Search')) self.layout = Layout( Fieldset( 'Basic search options', 'id', 'name', css_id="basic_search_fields" ), Accordion( AccordionGroup( 'More', 'website', css_id="more" ), ) ) class ProjectInstForm(forms.ModelForm): class Meta: model = ProjectInst fields = "__all__" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.helper = FormHelper() self.helper.form_tag = True self.helper.form_class = 'form-horizontal' self.helper.label_class = 'col-md-3' self.helper.field_class = 'col-md-9' self.helper.add_input(Submit('submit', 'save'),) class TeamMemberFilterFormHelper(FormHelper): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.helper = FormHelper() self.form_class = 'genericFilterForm' self.form_method = 'GET' self.helper.form_tag = False self.add_input(Submit('Filter', 'Search')) self.layout = Layout( Fieldset( 'Basic search options', 'id', 'name', css_id="basic_search_fields" ), Accordion( AccordionGroup( 'More', 'website', 'role', css_id="more" ), ) ) class TeamMemberForm(forms.ModelForm): class Meta: model = TeamMember fields = "__all__" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.helper = FormHelper() self.helper.form_tag = True self.helper.form_class = 'form-horizontal' self.helper.label_class = 'col-md-3' self.helper.field_class = 'col-md-9' self.helper.add_input(Submit('submit', 'save'),) class AboutTheProjectFilterFormHelper(FormHelper): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.helper = FormHelper() self.form_class = 'genericFilterForm' self.form_method = 'GET' self.helper.form_tag = False self.add_input(Submit('Filter', 'Search')) self.layout = Layout( Fieldset( 'Basic search options', 'id', 'description', css_id="basic_search_fields" ), Accordion( AccordionGroup( 'Authors', 'author', css_id="more" ), ) ) class AboutTheProjectForm(forms.ModelForm): class Meta: model = AboutTheProject fields = "__all__" def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.helper = FormHelper() self.helper.form_tag = True self.helper.form_class = 'form-horizontal' self.helper.label_class = 'col-md-3' self.helper.field_class = 'col-md-9' self.helper.add_input(Submit('submit', 'save'),)

30.937984

79

0.538462

367

3,991

5.577657

0.19346

0.117245

0.061553

0.043967

0.744993

0.703957

0.664387

0

0.002312

0.349787

3,991

128

80

31.179688

0.786513

0.005763

0

0.774775

1

0

0.109178

0

1

0.054054

false

0

0.045045

0

0.18018

0

null

0

1

0

1

0

1

0

null

0

5

b28d363e01432d0c5bc5a0742316f706baafe86e

75

py

Python

examples/search.py

bhgomes/oeis

27555acdcdeec936431789c052ea097b1aa19d69

[ "Unlicense" ]

6

2019-03-29T05:01:35.000Z

2021-12-21T08:13:38.000Z

examples/search.py

bhgomes/oeis

27555acdcdeec936431789c052ea097b1aa19d69

[ "Unlicense" ]

4

2019-04-05T08:45:23.000Z

2019-04-15T06:48:40.000Z

examples/search.py

bhgomes/oeis

27555acdcdeec936431789c052ea097b1aa19d69

[ "Unlicense" ]

null

# -*- coding: utf-8 -*- # import oeis print(oeis.query("1, 2, 3, 4, 5"))

12.5

34

0.52

13

75

3

0.923077

0

0.1

0.2

75

5

35

15

0.55

0.28

0

0.26

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

b2a406b1fc11d4991d5c9d80b0c22d4e26740646

64

py

Python

scripts/npc/viking_cannon1.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

9

2021-04-26T11:59:29.000Z

2021-12-20T13:15:27.000Z

scripts/npc/viking_cannon1.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

null

scripts/npc/viking_cannon1.py

Snewmy/swordie

ae01ed4ec0eb20a18730e8cd209eea0b84a8dd17

[ "MIT" ]

6

2021-07-14T06:32:05.000Z

2022-02-06T02:32:56.000Z

# Cannon (1302008) | Ship Deck 1 (106030500) sm.warp(106030102)

21.333333

44

0.71875

9

64

5.111111

1

0

0.472727

0.140625

64

3

45

21.333333

0.363636

0.65625

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

a25522bd87ac778efb957f91bce8f9fe9bc472bc

349

py

Python

0801-0900/0804-Unique Morse Code Words/0804-Unique Morse Code Words.py

jiadaizhao/LeetCode

4ddea0a532fe7c5d053ffbd6870174ec99fc2d60

[ "MIT" ]

49

2018-05-05T02:53:10.000Z

2022-03-30T12:08:09.000Z

0801-0900/0804-Unique Morse Code Words/0804-Unique Morse Code Words.py

jolly-fellow/LeetCode

ab20b3ec137ed05fad1edda1c30db04ab355486f

[ "MIT" ]

11

2017-12-15T22:31:44.000Z

2020-10-02T12:42:49.000Z

0801-0900/0804-Unique Morse Code Words/0804-Unique Morse Code Words.py

jolly-fellow/LeetCode

ab20b3ec137ed05fad1edda1c30db04ab355486f

[ "MIT" ]

28

2017-12-05T10:56:51.000Z

2022-01-26T18:18:27.000Z

class Solution: def uniqueMorseRepresentations(self, words: List[str]) -> int: table = [".-","-...","-.-.","-..",".","..-.","--.","....","..",".---","-.-",".-..","--","-.","---",".--.","--.-",".-.","...","-","..-","...-",".--","-..-","-.--","--.."] return len({''.join(table[ord(c) - ord('a')] for c in word) for word in words})

69.8

177

0.332378

26

349

4.461538

0.730769

0

0.123209

349

4

178

87.25

0.379085

0

0.237822

0

1

0.25

false

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a263667dab6bdb89a5da49c5eb57a5025c47e2b8

91

py

Python

UCTB/dataset/__init__.py

TempAnonymous/Context_Analysis

bbeba1ed7ea7001c22a12721fc4f390d4cc01a6e

[ "MIT" ]

3

2021-06-29T06:18:18.000Z

2021-09-07T03:11:35.000Z

UCTB/dataset/__init__.py

TempAnonymous/Context_Analysis

bbeba1ed7ea7001c22a12721fc4f390d4cc01a6e

[ "MIT" ]

null

UCTB/dataset/__init__.py

TempAnonymous/Context_Analysis

bbeba1ed7ea7001c22a12721fc4f390d4cc01a6e

[ "MIT" ]

null

from .data_loader import NodeTrafficLoader, TransferDataLoader from .dataset import DataSet

45.5

62

0.879121

10

91

7.9

0.7

0

0.087912

91

2

63

45.5

0.951807

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a279dd326affbc95da792764630e5a633f40958d

19

py

Python

deleteme.py

LanayaCarbonell/stem

8b3789d33c5bfdf949e679a4a4323c71543ce2ff

[ "MIT" ]

null

deleteme.py

LanayaCarbonell/stem

8b3789d33c5bfdf949e679a4a4323c71543ce2ff

[ "MIT" ]

null

deleteme.py

LanayaCarbonell/stem

8b3789d33c5bfdf949e679a4a4323c71543ce2ff

[ "MIT" ]

null

print("Delete Me")

9.5

18

0.684211

3

19

4.333333

1

0

0.105263

19

1

19

0.764706

0

0.473684

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

a29f9710d8f955caa577387a2989968c5e683cf0

125

py

Python

asynchronous_qiwi/data_types/QIWIWallet/pay_methods.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

3

2021-05-20T02:36:30.000Z

2021-11-28T16:00:15.000Z

asynchronous_qiwi/data_types/QIWIWallet/pay_methods.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

null

asynchronous_qiwi/data_types/QIWIWallet/pay_methods.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

1

2021-11-28T16:00:20.000Z

import enum class PayMethodFilter(enum.Enum): QIWI = enum.auto() LINKED_CARD = enum.auto() CARD = enum.auto()

13.888889

33

0.648

16

125

5

0.5

0.3

0

0.224

125

8

34

15.625

0.824742

0

1

0

false

0

0.2

0

1

0

1

0

null

1

0

1

0

null

0

1

0

5

a2b8d4c40ec1fe0214cf934dfa9f688b2f131918

44

py

Python

ocrn/__init__.py

swvist/Ocrn

173d0017317af34595b532aa5c65c6a291ae0a90

[ "MIT" ]

24

2015-08-01T16:07:27.000Z

2020-04-28T02:11:50.000Z

ocrn/__init__.py

nxvipin/Ocrn

173d0017317af34595b532aa5c65c6a291ae0a90

[ "MIT" ]

2

2016-01-17T17:59:23.000Z

2018-03-28T06:29:17.000Z

ocrn/__init__.py

nxvipin/Ocrn

173d0017317af34595b532aa5c65c6a291ae0a90

[ "MIT" ]

24

2015-04-01T08:58:34.000Z

2019-12-03T02:03:10.000Z

#To treat the current directory as a module

22

43

0.795455

8

44

4.375

1

0

0.181818

44

1

44

0.972222

0.954545

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

0c3d0dcf207511a22e50ae9c4278bab76b26f5b7

9,290

py

Python

tests/hwsim/test_mbo.py

9A9A/wpa_supplicant-fork

f33468a35109317ef0ed9cdd6eceb8b068a4278b

[ "Unlicense" ]

null

tests/hwsim/test_mbo.py

9A9A/wpa_supplicant-fork

f33468a35109317ef0ed9cdd6eceb8b068a4278b

[ "Unlicense" ]

null

tests/hwsim/test_mbo.py

9A9A/wpa_supplicant-fork

f33468a35109317ef0ed9cdd6eceb8b068a4278b

[ "Unlicense" ]

null

# MBO tests # Copyright (c) 2016, Intel Deutschland GmbH # # This software may be distributed under the terms of the BSD license. # See README for more details. import logging logger = logging.getLogger() import hostapd import os import time from tshark import run_tshark def test_mbo_assoc_disallow(dev, apdev, params): hapd1 = hostapd.add_ap(apdev[0], { "ssid": "MBO", "mbo": "1" }) hapd2 = hostapd.add_ap(apdev[1], { "ssid": "MBO", "mbo": "1" }) logger.debug("Set mbo_assoc_disallow with invalid value") if "FAIL" not in hapd1.request("SET mbo_assoc_disallow 2"): raise Exception("Set mbo_assoc_disallow for AP1 succeeded unexpectedly with value 2") logger.debug("Disallow associations to AP1 and allow association to AP2") if "OK" not in hapd1.request("SET mbo_assoc_disallow 1"): raise Exception("Failed to set mbo_assoc_disallow for AP1") if "OK" not in hapd2.request("SET mbo_assoc_disallow 0"): raise Exception("Failed to set mbo_assoc_disallow for AP2") dev[0].connect("MBO", key_mgmt="NONE", scan_freq="2412") out = run_tshark(os.path.join(params['logdir'], "hwsim0.pcapng"), "wlan.fc.type == 0 && wlan.fc.type_subtype == 0x00", wait=False) if "Destination address: " + hapd1.own_addr() in out: raise Exception("Association request sent to disallowed AP") timestamp = run_tshark(os.path.join(params['logdir'], "hwsim0.pcapng"), "wlan.fc.type_subtype == 0x00", display=['frame.time'], wait=False) logger.debug("Allow associations to AP1 and disallow assications to AP2") if "OK" not in hapd1.request("SET mbo_assoc_disallow 0"): raise Exception("Failed to set mbo_assoc_disallow for AP1") if "OK" not in hapd2.request("SET mbo_assoc_disallow 1"): raise Exception("Failed to set mbo_assoc_disallow for AP2") dev[0].request("DISCONNECT") dev[0].wait_disconnected() # Force new scan, so the assoc_disallowed indication is updated */ dev[0].request("FLUSH") dev[0].connect("MBO", key_mgmt="NONE", scan_freq="2412") filter = 'wlan.fc.type == 0 && wlan.fc.type_subtype == 0x00 && frame.time > "' + timestamp.rstrip() + '"' out = run_tshark(os.path.join(params['logdir'], "hwsim0.pcapng"), filter, wait=False) if "Destination address: " + hapd2.own_addr() in out: raise Exception("Association request sent to disallowed AP 2") def test_mbo_cell_capa_update(dev, apdev): """MBO cellular data capability update""" ssid = "test-wnm-mbo" params = { 'ssid': ssid, 'mbo': '1' } hapd = hostapd.add_ap(apdev[0], params) bssid = apdev[0]['bssid'] if "OK" not in dev[0].request("SET mbo_cell_capa 1"): raise Exception("Failed to set STA as cellular data capable") dev[0].connect(ssid, key_mgmt="NONE", scan_freq="2412") addr = dev[0].own_addr() sta = hapd.get_sta(addr) if 'mbo_cell_capa' not in sta or sta['mbo_cell_capa'] != '1': raise Exception("mbo_cell_capa missing after association") if "OK" not in dev[0].request("SET mbo_cell_capa 3"): raise Exception("Failed to set STA as cellular data not-capable") time.sleep(0.2) sta = hapd.get_sta(addr) if 'mbo_cell_capa' not in sta: raise Exception("mbo_cell_capa missing after update") if sta['mbo_cell_capa'] != '3': raise Exception("mbo_cell_capa not updated properly") def test_mbo_cell_capa_update_pmf(dev, apdev): """MBO cellular data capability update with PMF required""" ssid = "test-wnm-mbo" passphrase = "12345678" params = hostapd.wpa2_params(ssid=ssid, passphrase=passphrase) params["wpa_key_mgmt"] = "WPA-PSK-SHA256"; params["ieee80211w"] = "2"; params['mbo'] = '1' hapd = hostapd.add_ap(apdev[0], params) bssid = apdev[0]['bssid'] if "OK" not in dev[0].request("SET mbo_cell_capa 1"): raise Exception("Failed to set STA as cellular data capable") dev[0].connect(ssid, psk=passphrase, key_mgmt="WPA-PSK-SHA256", proto="WPA2", ieee80211w="2", scan_freq="2412") addr = dev[0].own_addr() sta = hapd.get_sta(addr) if 'mbo_cell_capa' not in sta or sta['mbo_cell_capa'] != '1': raise Exception("mbo_cell_capa missing after association") if "OK" not in dev[0].request("SET mbo_cell_capa 3"): raise Exception("Failed to set STA as cellular data not-capable") time.sleep(0.2) sta = hapd.get_sta(addr) if 'mbo_cell_capa' not in sta: raise Exception("mbo_cell_capa missing after update") if sta['mbo_cell_capa'] != '3': raise Exception("mbo_cell_capa not updated properly") def test_mbo_non_pref_chan(dev, apdev): """MBO non-preferred channel list""" ssid = "test-wnm-mbo" params = { 'ssid': ssid, 'mbo': '1' } hapd = hostapd.add_ap(apdev[0], params) bssid = apdev[0]['bssid'] if "OK" not in dev[0].request("SET non_pref_chan 81:7:200:3"): raise Exception("Failed to set non-preferred channel list") if "OK" not in dev[0].request("SET non_pref_chan 81:7:200:1:123 81:9:100:2"): raise Exception("Failed to set non-preferred channel list") dev[0].connect(ssid, key_mgmt="NONE", scan_freq="2412") addr = dev[0].own_addr() sta = hapd.get_sta(addr) logger.debug("STA: " + str(sta)) if 'non_pref_chan[0]' not in sta: raise Exception("Missing non_pref_chan[0] value (assoc)") if sta['non_pref_chan[0]'] != '81:200:1:123:7': raise Exception("Unexpected non_pref_chan[0] value (assoc)") if 'non_pref_chan[1]' not in sta: raise Exception("Missing non_pref_chan[1] value (assoc)") if sta['non_pref_chan[1]'] != '81:100:2:0:9': raise Exception("Unexpected non_pref_chan[1] value (assoc)") if 'non_pref_chan[2]' in sta: raise Exception("Unexpected non_pref_chan[2] value (assoc)") if "OK" not in dev[0].request("SET non_pref_chan 81:9:100:2"): raise Exception("Failed to update non-preferred channel list") time.sleep(0.1) sta = hapd.get_sta(addr) logger.debug("STA: " + str(sta)) if 'non_pref_chan[0]' not in sta: raise Exception("Missing non_pref_chan[0] value (update 1)") if sta['non_pref_chan[0]'] != '81:100:2:0:9': raise Exception("Unexpected non_pref_chan[0] value (update 1)") if 'non_pref_chan[1]' in sta: raise Exception("Unexpected non_pref_chan[2] value (update 1)") if "OK" not in dev[0].request("SET non_pref_chan 81:9:100:2 81:10:100:2 81:8:100:2 81:7:100:1:123 81:5:100:1:124"): raise Exception("Failed to update non-preferred channel list") time.sleep(0.1) sta = hapd.get_sta(addr) logger.debug("STA: " + str(sta)) if 'non_pref_chan[0]' not in sta: raise Exception("Missing non_pref_chan[0] value (update 2)") if sta['non_pref_chan[0]'] != '81:100:1:123:7': raise Exception("Unexpected non_pref_chan[0] value (update 2)") if 'non_pref_chan[1]' not in sta: raise Exception("Missing non_pref_chan[1] value (update 2)") if sta['non_pref_chan[1]'] != '81:100:1:124:5': raise Exception("Unexpected non_pref_chan[1] value (update 2)") if 'non_pref_chan[2]' not in sta: raise Exception("Missing non_pref_chan[2] value (update 2)") if sta['non_pref_chan[2]'] != '81:100:2:0:9,10,8': raise Exception("Unexpected non_pref_chan[2] value (update 2)") if 'non_pref_chan[3]' in sta: raise Exception("Unexpected non_pref_chan[3] value (update 2)") if "OK" not in dev[0].request("SET non_pref_chan 81:5:90:2 82:14:91:2"): raise Exception("Failed to update non-preferred channel list") time.sleep(0.1) sta = hapd.get_sta(addr) logger.debug("STA: " + str(sta)) if 'non_pref_chan[0]' not in sta: raise Exception("Missing non_pref_chan[0] value (update 3)") if sta['non_pref_chan[0]'] != '81:90:2:0:5': raise Exception("Unexpected non_pref_chan[0] value (update 3)") if 'non_pref_chan[1]' not in sta: raise Exception("Missing non_pref_chan[1] value (update 3)") if sta['non_pref_chan[1]'] != '82:91:2:0:14': raise Exception("Unexpected non_pref_chan[1] value (update 3)") if 'non_pref_chan[2]' in sta: raise Exception("Unexpected non_pref_chan[2] value (update 3)") if "OK" not in dev[0].request("SET non_pref_chan "): raise Exception("Failed to update non-preferred channel list") time.sleep(0.1) sta = hapd.get_sta(addr) logger.debug("STA: " + str(sta)) if 'non_pref_chan[0]' in sta: raise Exception("Unexpected non_pref_chan[0] value (update 4)") def test_mbo_sta_supp_op_classes(dev, apdev): """MBO STA supported operating classes""" ssid = "test-wnm-mbo" params = { 'ssid': ssid, 'mbo': '1' } hapd = hostapd.add_ap(apdev[0], params) dev[0].connect(ssid, key_mgmt="NONE", scan_freq="2412") addr = dev[0].own_addr() sta = hapd.get_sta(addr) logger.debug("STA: " + str(sta)) if 'supp_op_classes' not in sta: raise Exception("No supp_op_classes") supp = bytearray(sta['supp_op_classes'].decode("hex")) if supp[0] != 81: raise Exception("Unexpected current operating class %d" % supp[0]) if 115 not in supp: raise Exception("Operating class 115 missing")

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null

0

1

0

5

a75c4ba21d117fa118a51e1a5bbc53e41582f1d1

5,543

py

Python

ample/util/tests/test_cphasematch.py

fsimkovic/ample

c3c2196ca292e831e3cd8d15e3d3079bb6609848

[ "BSD-3-Clause" ]

6

2017-03-17T14:43:14.000Z

2021-08-06T07:07:14.000Z

ample/util/tests/test_cphasematch.py

fsimkovic/ample

c3c2196ca292e831e3cd8d15e3d3079bb6609848

[ "BSD-3-Clause" ]

47

2017-03-17T14:37:09.000Z

2021-01-28T10:22:15.000Z

ample/util/tests/test_cphasematch.py

fsimkovic/ample

c3c2196ca292e831e3cd8d15e3d3079bb6609848

[ "BSD-3-Clause" ]

6

2017-09-26T08:45:09.000Z

2020-03-19T14:26:49.000Z

"""Test functions for cphasematch""" import os import sys import unittest from ample import constants from ample.util import cphasematch import iotbx.mtz class Test(unittest.TestCase): @classmethod def setUpClass(cls): cls.thisd = os.path.abspath(os.path.dirname(__file__)) cls.ample_share = constants.SHARE_DIR cls.testfiles_dir = os.path.join(cls.ample_share, 'testfiles') def test_merge_mtz(self): os.chdir(self.thisd) # Need as otherwise tests that happen in other directories change os.cwd() mtz1 = os.path.join(self.ample_share, "examples", 'toxd-example', 'input', '1dtx.mtz') mtz1_labels = ['FP', 'SIGFP'] mtz2 = os.path.join(self.testfiles_dir, "phaser_loc0_ALL_c1_tl49_r1_allatom_UNMOD.1.mtz") mtz2_labels = ['FC', 'PHIC'] merged_mtz, mtz_labels = cphasematch.merge_mtz(mtz1, mtz1_labels, mtz2, mtz2_labels) input_labels = set(mtz1_labels + mtz2_labels) # Get all the labels miller_dict = iotbx.mtz.object(file_name=merged_mtz).as_miller_arrays_dict() ref_labels = set([d[2] for d in miller_dict.keys()]) self.assertEqual(len(input_labels - ref_labels), 0, "Labels were not identical") os.unlink(merged_mtz) return def test_merge_mtz2(self): os.chdir(self.thisd) # Need as otherwise tests that happen in other directories change os.cwd() mtz1 = os.path.join(self.ample_share, "examples", 'toxd-example', 'input', '1dtx.mtz') mtz1_labels = ['FP', 'SIGFP'] mtz2 = os.path.join(self.ample_share, "examples", 'toxd-example', 'input', '1dtx.mtz') mtz2_labels = ['FP', 'SIGFP'] merged_mtz, mtz_labels = cphasematch.merge_mtz(mtz1, mtz1_labels, mtz2, mtz2_labels) # Get all the labels miller_dict = iotbx.mtz.object(file_name=merged_mtz).as_miller_arrays_dict() merged_labels = set([d[2] for d in miller_dict.keys()]) # An integer equal to the file number should have been added ref_labels = set(['FP', 'SIGFP', 'FP2', 'SIGFP2']) self.assertEqual(len(merged_labels - ref_labels), 0, "Labels were not identical") os.unlink(merged_mtz) return @unittest.skip("Work in progress") def test_cphasematch_pdb(self): os.chdir(self.thisd) # Need as otherwise tests that happen in other directories change os.cwd() native_pdb = os.path.join(self.ample_share, "examples", 'toxd-example', 'input', '1DTX.pdb') native_mtz = os.path.join(self.ample_share, "examples", 'toxd-example', 'input', '1dtx.mtz') mr_mtz = os.path.join(self.testfiles_dir, "phaser_loc0_ALL_c1_tl49_r1_allatom_UNMOD.1.mtz") before_origin, after_origin, change_of_hand, origin_shift = cphasematch.calc_phase_error_pdb( native_pdb, native_mtz, mr_mtz, f_label='FP', sigf_label='SIGFP' ) self.assertEqual(89.6763, before_origin) self.assertEqual(62.4365, after_origin) self.assertEqual([0.0, 0.0, 0.5], origin_shift) return @unittest.skipIf(sys.platform.startswith("win"), "requires Linux") def test_cphasematch_mtz(self): os.chdir(self.thisd) # Need as otherwise tests that happen in other directories change os.cwd() native_mtz_phased = os.path.join(self.testfiles_dir, "toxd_59.1.mtz") mr_mtz = os.path.join(self.testfiles_dir, "phaser_loc0_ALL_c1_tl49_r1_allatom_UNMOD.1.mtz") before_origin, after_origin, change_of_hand, origin_shift = cphasematch.calc_phase_error_mtz( native_mtz_phased, mr_mtz, f_label='FP', sigf_label='SIGFP' ) self.assertEqual(88.8476, before_origin) self.assertEqual(62.4833, after_origin) self.assertEqual([0.0, 0.5, 0.0], origin_shift) return @unittest.skip("Work in progress") def test_cphasematch_mtz_origin(self): os.chdir(self.thisd) # Need as otherwise tests that happen in other directories change os.cwd() native_mtz_phased = os.path.join(self.testfiles_dir, "toxd_59.1.mtz") mr_mtz = os.path.join(self.testfiles_dir, "phaser_loc0_ALL_c1_tl49_r1_allatom_UNMOD.1.mtz") origin = [0.0, 0.5, 0.0] before_origin, after_origin, change_of_hand, origin_shift = cphasematch.calc_phase_error_mtz( native_mtz_phased, mr_mtz, origin=origin ) # Can't test exact equality as cphasematch and cctbx return slightly different errors self.assertAlmostEqual(88.8476, before_origin, 0) self.assertAlmostEqual(62.4833, after_origin, 0) self.assertEqual([0.0, 0.5, 0.0], origin_shift) return @unittest.skip("Work in progress") def test_cphasematch_shelxe(self): os.chdir(self.thisd) # Need as otherwise tests that happen in other directories change os.cwd() native_mtz_phased = os.path.join(self.testfiles_dir, "toxd_59.1.mtz") shelxe_mtz = os.path.join(self.testfiles_dir, "shelxe_phaser_loc0_ALL_c1_t49_r1_polyAla_UNMOD.mtz") origin = [0.0, 0.0, 0.0] before_origin, after_origin, change_of_hand, origin_shift = cphasematch.calc_phase_error_mtz( native_mtz_phased, shelxe_mtz, origin=origin ) # Can't test exact equality as cphasematch and cctbx return slightly different errors self.assertAlmostEqual(88.8476, before_origin, 0) self.assertAlmostEqual(62.4833, after_origin, 0) self.assertEqual([0.0, 0.5, 0.0], origin_shift) return if __name__ == "__main__": unittest.main()

47.376068

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5,543

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0.0389

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0

0.21978

0

null

0

1

0

null

0

5

a78f4eeb934c12023512eff192fb85057ec4dba6

58

py

Python

orthogonal/mapping/exceptions/UnSupportedOperationException.py

hasii2011/OrthogonalDrawing

f74ee5d8a4aa44be3bbbe2bd08f8b577db7918cb

[ "MIT" ]

null

orthogonal/mapping/exceptions/UnSupportedOperationException.py

hasii2011/OrthogonalDrawing

f74ee5d8a4aa44be3bbbe2bd08f8b577db7918cb

[ "MIT" ]

9

2020-05-06T19:42:07.000Z

2021-03-18T01:49:48.000Z

orthogonal/mapping/exceptions/UnSupportedOperationException.py

hasii2011/OrthogonalDrawing

f74ee5d8a4aa44be3bbbe2bd08f8b577db7918cb

[ "MIT" ]

null

class UnSupportedOperationException(Exception): pass

14.5

47

0.810345

4

58

11.75

1

0

0.137931

58

3

48

19.333333

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1

null

0

1

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null

0

1

0

5

a7b33d967366fe2445f72b9f24ebba84c960d9b8

299

py

Python

general-practice/Exercises solved/codingbat/String1/make_abba.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

general-practice/Exercises solved/codingbat/String1/make_abba.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

general-practice/Exercises solved/codingbat/String1/make_abba.py

lugabrielbueno/Projeto

f012c5bb9ce6f6d7c9e8196cc7986127dba3eba0

[ "MIT" ]

null

#Given two strings, a and b, return the result of putting them together in the order abba, e.g. "Hi" and "Bye" returns "HiByeByeHi". #make_abba('Hi', 'Bye') → 'HiByeByeHi' #make_abba('Yo', 'Alice') → 'YoAliceAliceYo' #make_abba('What', 'Up') → 'WhatUpUpWhat' def make_abba(a,b): return a+b+b+a

37.375

132

0.675585

52

299

3.865385

0.596154

0.159204

0.179104

0

0.147157

299

8

133

37.375

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false

0

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null

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0

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null

0

1

0

1

0

5

a7b87f28daf67356202c2cea3443ee63aa433e18

3,676

py

Python

tests/test_core.py

linhd-postdata/jollyjumper

240b2213a4a2b8cdccc05d52ce268861dad9b8d3

[ "Apache-2.0" ]

null

tests/test_core.py

linhd-postdata/jollyjumper

240b2213a4a2b8cdccc05d52ce268861dad9b8d3

[ "Apache-2.0" ]

8

2019-04-30T11:12:23.000Z

2019-06-28T19:03:04.000Z

tests/test_core.py

linhd-postdata/jollyjumper

240b2213a4a2b8cdccc05d52ce268861dad9b8d3

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from unittest import mock import jollyjumper.core from jollyjumper.core import get_enjambment class TokenMock(mock.MagicMock): _ = property(lambda self: mock.Mock(has_tmesis=self.has_tmesis, line=self.line)) def __isinstance__(self, token): # noqa return True @staticmethod def is_ancestor(token): # noqa return True @staticmethod def nbor(): # noqa return TokenMock() def test_get_enjambment_tmesis(monkeypatch): def mockreturn(lang=None): return lambda _: [ TokenMock(text="mi-\nra", i=0, is_punct=False, has_tmesis=True, line=1) ] monkeypatch.setattr(jollyjumper.core, 'load_pipeline', mockreturn) enjambment = get_enjambment("text") assert enjambment == {1: {"type": 'tmesis', "on": ['mi', 'ra']}} def test_get_enjambment_spacy_doc(monkeypatch): token = TokenMock(text="mi-\nra", i=0, is_punct=False, has_tmesis=True, line=1) def mockreturn(lang=None): return lambda _: [ token ] monkeypatch.setattr(jollyjumper.core, 'load_pipeline', mockreturn) enjambment = get_enjambment(token) assert enjambment == {1: {"type": 'tmesis', "on": ['mi', 'ra']}} def test_get_enjambment_no_tmesis(monkeypatch): def mockreturn(lang=None): return lambda _: [ TokenMock(text="mi\nra", i=0, is_punct=False, has_tmesis=False, line=1) ] monkeypatch.setattr(jollyjumper.core, 'load_pipeline', mockreturn) enjambment = get_enjambment("text") assert enjambment == {} def test_get_enjambment(monkeypatch): def mockreturn(lang=None): return lambda _: [ TokenMock(n_rights=0, tag_="NumType", pos_="ADJ", text="mi", i=0, is_punct=False, has_tmesis=False, line=0), TokenMock(n_rights=0, tag_="NumType", pos_="SPACE", text="\n", i=1, is_punct=False, has_tmesis=False, line=0), TokenMock(n_rights=0, tag_="NumType", pos_="NOUN", text="casa", i=2, is_punct=False, has_tmesis=False, line=1) ] monkeypatch.setattr(jollyjumper.core, 'load_pipeline', mockreturn) enjambment = get_enjambment("text") assert enjambment == {0: {"type": 'sirrematic', "on": ['ADJ', 'NOUN']}} def test_get_enjambment_empty(monkeypatch): def mockreturn(lang=None): return lambda _: [ TokenMock(n_rights=0, tag_="NumType", pos_="ADJ", text="mi-", i=0, is_punct=False, has_tmesis=False, line=1), TokenMock(n_rights=0, tag_="NumType", pos_="SPACE", text="\n", i=0, is_punct=False, has_tmesis=False, line=1), TokenMock(n_rights=0, tag_="NumType", pos_="NOUN", text="ro", i=0, is_punct=False, has_tmesis=False, line=2) ] monkeypatch.setattr(jollyjumper.core, 'load_pipeline', mockreturn) enjambment = get_enjambment("text") assert enjambment == {} def test_get_enjambment_no_monkeypatch(): text = "maña-\nna" output = get_enjambment(text) assert output == {0: {'type': 'tmesis', 'on': ['maña', 'na']}} def test_get_enjambment_oov_no_monkeypatch(): text = "Yo estoy depri-\nmente. El coche-\ncito. No más-\nencabalgamiento." output = get_enjambment(text) assert output == { 0: {'type': 'tmesis', 'on': ['depri', 'mente']}, 1: {'type': 'tmesis', 'on': ['coche', 'cito']}, }

32.821429

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0.333333

0

null

0

1

0

null

0

5

a7bf008475dd539b7cf47d56aedeaeea90df8542

78

py

Python

src/obfuscapk/obfuscators/virus_total/__init__.py

AkshayJainG/Obfuscapk

6f2e791dbc06afc17d69393b3e5064cc4821a582

[ "MIT" ]

12

2020-02-24T13:40:41.000Z

2021-05-05T12:41:43.000Z

src/obfuscapk/obfuscators/virus_total/__init__.py

z3r0Sec/Obfuscapk

3adbf7bfa84adf117326409c683e375ceb5a5df4

[ "MIT" ]

null

src/obfuscapk/obfuscators/virus_total/__init__.py

z3r0Sec/Obfuscapk

3adbf7bfa84adf117326409c683e375ceb5a5df4

[ "MIT" ]

3

2020-05-15T16:44:43.000Z

2021-07-31T03:21:14.000Z

#!/usr/bin/env python3.7 # coding: utf-8 from .virus_total import VirusTotal

15.6

35

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13

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78

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0

1

0

1

0

1

0

5

ac3fa7f5420c29397bc2d760413cdf0d452ce157

1,441

py

Python

hypha/apply/api/v1/permissions.py

slifty/hypha

93313933c26589858beb9a861e33431658cd3b24

[ "BSD-3-Clause" ]

14

2018-10-05T14:34:21.000Z

2020-01-17T17:45:44.000Z

hypha/apply/api/v1/permissions.py

OpenTechFund/WebApp

d6e2bb21a39d1fa7566cb60fe19f372dabfa5f0f

[ "BSD-3-Clause" ]

1,098

2017-12-15T11:23:03.000Z

2020-01-24T07:58:07.000Z

hypha/apply/api/v1/permissions.py

OpenTechFund/WebApp

d6e2bb21a39d1fa7566cb60fe19f372dabfa5f0f

[ "BSD-3-Clause" ]

7

2018-01-09T10:13:06.000Z

2019-08-12T16:38:59.000Z

from rest_framework import permissions class IsAuthor(permissions.BasePermission): def has_object_permission(self, request, view, obj): return obj.user == request.user class IsApplyStaffUser(permissions.BasePermission): """ Custom permission to only allow organisation Staff or higher """ def has_permission(self, request, view): return request.user.is_apply_staff def has_object_permission(self, request, view, obj): return request.user.is_apply_staff class IsFinance1User(permissions.BasePermission): def has_permission(self, request, view): return request.user.is_finance_level_1 def has_object_permission(self, request, view, obj): return request.user.is_finance_level_1 class IsFinance2User(permissions.BasePermission): def has_permission(self, request, view): return request.user.is_finance_level_2 def has_object_permission(self, request, view, obj): return request.user.is_finance_level_2 class HasDeliverableEditPermission(permissions.BasePermission): def has_permission(self, request, view): invoice = view.get_invoice_object() return invoice.can_user_edit_deliverables(request.user) class HasRequiredChecksPermission(permissions.BasePermission): def has_permission(self, request, view): invoice = view.get_object() return invoice.can_user_complete_required_checks(request.user)

30.659574

70

0.752949

171

1,441

6.111111

0.263158

0.051675

0.180861

0.215311

0.657416

0.607656

0.588517

0.584689

0.54067

0

0.005017

0.170021

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0.868729

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null

0

1

0

null

0

1

0

1

0

5

ac4f97df47ac1dde1b3d088df84083b0cf10c42b

65

py

Python

cct/core2/devices/ups/keen800/__init__.py

awacha/cct

be1adbed2533df15c778051f3f4f9da0749c873a

[ "BSD-3-Clause" ]

1

2015-11-04T16:37:39.000Z

cct/core2/devices/ups/keen800/__init__.py

awacha/cct

be1adbed2533df15c778051f3f4f9da0749c873a

[ "BSD-3-Clause" ]

null

cct/core2/devices/ups/keen800/__init__.py

awacha/cct

be1adbed2533df15c778051f3f4f9da0749c873a

[ "BSD-3-Clause" ]

1

2020-03-05T02:50:43.000Z

from .backend import Keen800Backend from .frontend import Keen800

32.5

35

0.861538

8

65

7

0.75

0

0.103448

0.107692

65

2

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32.5

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null

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1

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1

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5

3be6b5083c84cd73abb4ec81e1710ea32f44f9e5

172

py

Python

FactorioCalcFastAPI/locale.py

kshshkim/factorioCalcPy

2a7c6ca567a3bf0d2b19f3cf0bc05274f83d4205

[ "MIT" ]

1

2021-09-21T01:42:05.000Z

FactorioCalcFastAPI/locale.py

kshshkim/factorioCalcPy

2a7c6ca567a3bf0d2b19f3cf0bc05274f83d4205

[ "MIT" ]

null

FactorioCalcFastAPI/locale.py

kshshkim/factorioCalcPy

2a7c6ca567a3bf0d2b19f3cf0bc05274f83d4205

[ "MIT" ]

null

def get_locale_name(something, lang): if type(something) == str: pass if type(something) == list: pass if type(something) == dict: pass

21.5

37

0.575581

21

172

4.619048

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0.463918

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false

0.428571

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0

1

0

1

0

null

0

1

0

5

3bfc558666d441394dcbaa87d67e9aa575376726

21,583

py

Python

ETLook/unstable.py

HesamZamanpour/wapor

553981e78164e7fd326be5f65a46bdd1dc80288a

[ "Apache-2.0" ]

null

ETLook/unstable.py

HesamZamanpour/wapor

553981e78164e7fd326be5f65a46bdd1dc80288a

[ "Apache-2.0" ]

null

ETLook/unstable.py

HesamZamanpour/wapor

553981e78164e7fd326be5f65a46bdd1dc80288a

[ "Apache-2.0" ]

null

import math import numpy as np from pyWAPOR.ETLook import constants as c def initial_sensible_heat_flux_canopy_daily(rn_24_canopy, t_24_init): r""" Computes the initial sensible heat flux before the iteration which solves the stability corrections. The first estimation of transpiration is used to estimate the initial sensible heat flux. .. math :: H_{canopy}=Q_{canopy}^{*}-T Parameters ---------- rn_24_canopy : float daily net radiation for the canopy :math:`Q^{canopy}^{*}` [W m-2] t_24_init : float initial estimate of daily transpiration :math:`T` [W m-2] Returns ------- h_canopy_24_init : float initial estimate of the sensible heat flux :math:`H^{canopy}` [W m-2] """ return rn_24_canopy - t_24_init def initial_sensible_heat_flux_soil_daily(rn_24_soil, e_24_init, g0_24): r""" Computes the initial sensible heat flux before the iteration which solves the stability corrections. The first estimation of transpiration is used to estimate the initial sensible heat flux. .. math :: H_{soil}=Q_{soil}^{*}-G_{0}-E Parameters ---------- rn_24_soil : float daily net radiation for the soil :math:`Q^{canopy}^{*}` [W m-2] g0_24 : float daily soil heat flux :math:`G_{0}` [W m-2] e_24_init : float initial estimate of daily evaporation :math:`E` [W m-2] Returns ------- h_soil_24_init : float initial estimate of the sensible heat flux :math:`H_{canopy}` [W m-2] """ return rn_24_soil - g0_24 - e_24_init def initial_friction_velocity_daily(u_b_24, z0m, disp, z_b=100): r""" Computes the initial friction velocity without using stability corrections. .. math :: u_{*}=\frac{ku_{b}}{ln\left(\frac{z_{b}-d}{z_{0,m}}\right)} Parameters ---------- u_b_24 : float daily wind speed at blending heigt :math:`u_{b}` [m s-1] z0m : float surface roughness :math:`z_{0,m}` [m] disp : float displacement height :math:`d` [m] z_b : float blending height :math:`z_{b}` [m] Returns ------- u_star_24_init : float initial estimate of the daily friction velocity :math:`u_{*}` [m s-1] """ return (c.k * u_b_24) / (np.log((z_b - disp) / z0m)) def initial_friction_velocity_soil_daily(u_b_24, disp, z_b=100): r""" Computes the initial firction velocity without using stability corrections. .. math :: u_{*}=\frac{ku_{b}}{ln\left(\frac{z_{b}-d}{z_{0,m}}\right)} Parameters ---------- u_b_24 : float daily wind speed at blending heigt :math:`u_{b}` [m s-1] disp : float displacement height :math:`d` [m] z_b : float blending height :math:`z_{b}` [m] Returns ------- u_star_24_soil_init : float initial estimate of the daily friction velocity for soil :math:`u_{*}` [m s-1] """ return (c.k * u_b_24) / (np.log((z_b - disp) / c.z0_soil)) def monin_obukhov_length(h_flux, ad, u_star, t_air_k): r""" Computes the Monin-Obukhov length. The Monin-Obukhov length is used to describe the effects of buoyancy on turbulent flows. The Monin-Obukhov length is usually negative during daytime. .. math :: L=\frac{-\rho c_{p}u_{*}^{3}T_{a}}{kgH_{canopy}} Parameters ---------- h_flux : float sensible heat flux :math:`H` [W m-2] ad : float air density :math:`\rho` [kg m-3] u_star : float Monin Obukhov length :math:`L` [m] t_air_k : float air tempererature in kelvin :math:`T_{a}` [K] Returns ------- monin : float monin obukhov length :math:`L` [m] """ return (-ad * c.sh * u_star ** 3 * t_air_k) / (c.k * c.g * h_flux) def stability_parameter(monin, disp, z_b=100): r""" Computes the stability parameter introduced by Monin and Obukhov. This parameter includes effects of both shear stress and buoyancy on turbulence. It is applicable to blending height. .. math :: x_{b}=1-16\left(\frac{z_{b}-d}{L}\right)^{0.25} Parameters ---------- monin : float monin obukhov length :math:`L` [m] z_b : float blending height :math:`z_{b}` [m] disp : float displacement height :math:`d` [m] Returns ------- x_b : float stability parameter used in stability correction :math:`x_{b}` [-] """ return (1 - 16 * ((z_b - disp) / monin)) ** 0.25 def stability_factor(x_b): r""" Computes the stability correction for heat at blending height. .. math :: \psi_{h,b}=2\ln\left(\frac{1+x_{b}}{2}\right)+ \ln\left(\frac{1+x_{b}^{2}}{2}\right)- 2\arctan\left(x_{b}\right)+0.5\pi Parameters ---------- x_b : float stability parameter used in stability correction :math:`x_{b}` [-] Returns ------- sf : float stability correction for heat :math:`\psi_{h,b}` [-] """ return ( 2 * np.log((1 + x_b) / 2) + np.log((1 + x_b ** 2) / 2) - 2 * np.arctan(x_b) + 0.5 * np.pi ) def stability_parameter_obs(monin, z_obs): r""" Computes the stability parameter introduced by Monin and Obukhov. This parameter includes effects of both shear stress and buoyancy on turbulence. It is applicable to observation height. .. math :: x_{obs}=1-16\left(\frac{z_{obs}}{L}\right)^{0.25} Parameters ---------- monin : float monin obukhov length :math:`L` [m] z_obs : float observation height :math:`z_{obs}` [m] Returns ------- x_b_obs : float stability parameter used in stability correction for observation height :math:`x_{obs}` [-] """ return (1 - 16 * (z_obs / monin)) ** 0.25 def stability_correction_heat_obs(x_b_obs): r""" Computes the stability correction for heat at observation height. .. math :: \psi_{h,obs}=2\ln\left(\frac{1+x_{obs}^{2}}{2}\right) Parameters ---------- x_b_obs : float stability parameter used in stability correction for observation height :math:`x_{obs}` [-] Returns ------- sf_obs : float stability correction for heat for observation height :math:`\psi_{h,obs}` [-] """ return 2 * np.log((1 + x_b_obs ** 2) / 2) def friction_velocity(u_b, z_b, z0m, disp, sf): r""" Computes the friction velocity .. math :: u_{*}=\frac{ku_{b}}{ln\left(\frac{z_{b}-d}{z_{0,m}}\right)-\psi_{h,b}} Parameters ---------- u_b : float windspeed at blending height :math:`u_{b}` [m] z_b : float blending height :math:`z_{b}` [m] z0m : float roughness length :math:`z_{0,m}` [m] disp : float displacement height :math:`d` [m] sf : float stability factor at blending height :math:`\psi_{h,b}` [m] Returns ------- u_star : float friction velocity :math:`u_{*}` [m s-1] """ return (c.k * u_b) / (np.log((z_b - disp) / z0m) - sf) def ra_canopy( h_canopy_init, t_air_k, u_star_init, ad, z0m, disp, u_b, z_obs=2, z_b=100, iter_ra=3 ): r""" Computes the aerodynamical resistance for canopy using an iterative approach. The iteration is needed to compute the frication velocity at blending height Iteration stops either after five iterations or if the difference between two subsequent estimations is less than 0.01. .. math :: \begin{cases} \begin{array}{c} L=\frac{-\rho c_{p}u_{*}^{3}T_{a}}{kgH_{canopy}}\\ x_{b}=1-16\left(\frac{z_{b}-d}{L}\right)^{0.25}\\ \psi_{h,b}=2\ln\left(\frac{1+z_{b}}{2}\right)+ \ln\left(\frac{1+z_{b}^{2}}{2}\right)- 2\arctan\left(x_{b}\right)+0.5\pi\\ u_{*}=\frac{ku_{b}}{ln\left(\frac{z_{b}-d}{z_{0,m}}\right)-\psi_{h,b}} \end{array}\end{cases} The friction velocity is independent of height. So this value can be used to calculate together with the stability correction for heat on observation heigth the aerodynamical resistance. .. math :: x_{obs}=1-16\left(\frac{z_{obs}}{L}\right)^{0.25} \psi_{h,obs}=2\ln\left(\frac{1+x_{obs}^{2}}{2}\right) r_{a,canopy}=\frac{\ln\left(\frac{z_{obs}-d} {0.1z_{0,m}}\right)-\psi_{h,obs}}{ku_{*}} Parameters ---------- h_canopy_init : float initial estimate of the sensible heat flux :math:`H^{canopy}` [W m-2] t_air_k : float air tempererature in kelvin :math:`T_{a}` [K] u_star_init : float initial estimate of the daily friction velocity :math:`u_{*}` [m s-1] ad : float air density :math:`\rho` [kg m-3] z_b : float blending height :math:`z_{b}` [m] z_obs : float observation height :math:`z_{obs}` [m] z0m : float roughness length :math:`z_{0,m}` [m] disp : float displacement height :math:`d` [m] u_b : float windspeed at blending height :math:`u_{b}` [m/s] iter_ra : integer number of iterations for aerodynamical resistance :math:`n_{ra}` [-] Returns ------- ra_canopy : float aerodynamical resistance for canopy :math:`r_{a,canopy}` [s m-1] """ h_flux = h_canopy_init u_star_start = u_star_init iteration = 0 epsilon = 10.0 while (iteration < iter_ra) and (np.nanmax(epsilon) > 0.01): iteration += 1 monin = monin_obukhov_length(h_flux, ad, u_star_start, t_air_k) x_b = np.where(monin > 0, 1, stability_parameter(monin, disp, z_b)) sf = stability_factor(x_b) u_star = friction_velocity(u_b, z_b, z0m, disp, sf) epsilon = abs(u_star - u_star_start) u_star_start = u_star x_b_obs = np.where(monin <= 0, stability_parameter_obs(monin, z_obs), 1) sf_obs = np.where(monin <= 0, stability_correction_heat_obs(x_b_obs), 0) disp = np.minimum(disp, 1.5) ra = (np.log((z_obs - disp) / (0.1 * z0m)) - sf_obs) / (c.k * u_star) ra = np.minimum(ra, 500) ra = np.maximum(ra, 25) return ra def transpiration( rn_24_canopy, ssvp_24, ad_24, vpd_24, psy_24, r_canopy, h_canopy_24_init, t_air_k_24, u_star_24_init, z0m, disp, u_b_24, z_obs=2, z_b=100, iter_h=5, ): r""" Computes the transpiration using an iterative approach. The iteration is needed to compute the aerodynamical resistance.Iteration stops either after five iterations orif the difference between two subsequent estimations is less than 0.01. The iteration is started with an estimate on :math:`H` using the initial guess without stability corrections. Subsequent iterations use the guess with stability corrections. .. math :: T=\frac{\Delta\left(Q_{canopy}^{*}\right)+\rho c_{p}\ frac{\Delta_{e}}{r_{a,canopy}}}{\Delta+ \gamma\left(1+\frac{r_{canopy}}{r_{a,canopy}}\right)} Parameters ---------- rn_24_canopy : float net radiation for the canopy :math:`Q^{*}_{canopy}` [Wm-2] ssvp_24 : float daily slope of saturated vapour pressure curve :math:`\Delta_{24}` [mbar K-1] ad_24 : float daily air density :math:`\rho_{24}` [kg m-3] vpd_24 : float daily vapour pressure deficit :math:`\Delta_{e,24}` [mbar] psy_24 : float daily psychrometric constant :math:`\gamma_{24}` [mbar K-1] r_canopy : float canopy resistance :math:`r_{canopy}` [sm-1] h_canopy_24_init : float initial estimate of the sensible heat flux :math:`H^{canopy}` [W m-2] t_air_k_24 : float daily air tempererature in kelvin :math:`T_{a}` [K] u_star_24_init : float initial estimate of the daily friction velocity :math:`u_{*}` [m s-1] z0m : float roughness length :math:`z_{0,m}` [m] disp : float displacement height :math:`d` [m] u_b_24 : float daily windspeed at blending height :math:`u_{b}` [m] z_b : float blending height :math:`z_{b}` [m] z_obs : float observation height :math:`z_{obs}` [m] iter_h : integer number of iterations for sensible heat flux :math:`n_h` [-] Returns ------- t_24 : float daily transpiration energy equivalent :math:`T_{24}` [W m-2] """ iteration = 0 epsilon = 10.0 h_start = h_canopy_24_init while (iteration < iter_h) and (np.nanmax(epsilon) > 0.01): iteration += 1 ra_canopy_start = ra_canopy( h_start, t_air_k_24, u_star_24_init, ad_24, z0m, disp, u_b_24, z_obs, z_b ) t = (ssvp_24 * rn_24_canopy + ad_24 * c.sh * (vpd_24 / ra_canopy_start)) / ( ssvp_24 + psy_24 * (1 + r_canopy / ra_canopy_start) ) h = rn_24_canopy - t epsilon = abs(h - h_start) h_start = h return t def ra_soil( h_soil_24_init, t_air_k, u_star_24_init, ad, disp, u_b, z_obs=2, z_b=100, iter_ra=3 ): r""" Computes the aerodynamical resistance for canopy using an iterative approach. The iteration is needed to compute the friction velocity at blending height Iteration stops either after five iterations or if the difference between two subsequent estimations is less than 0.01. .. math :: \begin{cases} \begin{array}{c} L=\frac{-\rho c_{p}u_{*}^{3}T_{a}}{kgH_{soil}}\\ x_{b}=1-16\left(\frac{z_{b}-d}{L}\right)^{0.25}\\ \psi_{h,b}=2\ln\left(\frac{1+z_{b}}{2}\right)+ \ln\left(\frac{1+z_{b}^{2}}{2}\right)- 2\arctan\left(x_{b}\right)+0.5\pi\\ u_{*}=\frac{ku_{b}}{ln\left(\frac{z_{b}-d}{z_{0,soil}}\right) -\psi_{h,b}} \end{array}\end{cases} The friction velocity is independent of height. So this value can be used to calculate together with the stability correction for heat on observation heigth the aerodynamical resistance. .. math :: x_{obs}=1-16\left(\frac{z_{obs}}{L}\right)^{0.25} \psi_{h,obs}=2\ln\left(\frac{1+x_{obs}^{2}}{2}\right) r_{a,soil}=\frac{\ln\left(\frac{z_{obs}-d} {0.1z_{0,soil}}\right)-\psi_{h,obs}}{ku_{*}} Parameters ---------- h_soil_24_init : float initial estimate of the sensible heat flux for soil :math:`H^{soil}` [W m-2] t_air_k : float air tempererature in kelvin :math:`T_{a}` [K] u_star_24_init : float initial estimate of the daily friction velocity :math:`u_{*}` [m s-1] ad : float air density :math:`\rho` [kg m-3] z_b : float blending height :math:`z_{b}` [m] z_obs : float observation height :math:`z_{obs}` [m] disp : float displacement height :math:`d` [m] u_b : float windspeed at blending height :math:`u_{b}` [m] iter_ra : integer number of iterations for aerodynamical resistance :math:`n_{ra}` [-] Returns ------- ra_soil : float aerodynamical resistance for soil :math:`r_{a,soil}` [s m-1] """ h_flux = h_soil_24_init u_star_start = u_star_24_init iteration = 0 epsilon = 10 while (iteration < iter_ra) and (np.nanmax(epsilon) > 0.01): iteration += 1 monin = monin_obukhov_length(h_flux, ad, u_star_start, t_air_k) x_b = np.where(monin > 0, 0, stability_parameter(monin, disp, z_b)) #!!! monin > 0 is 0? while in ra_canopy this is 1?? sf = stability_factor(x_b) u_star = friction_velocity(u_b, z_b, c.z0_soil, disp, sf) epsilon = abs(u_star - u_star_start) u_star_start = u_star x_b_obs = np.where(monin <= 0, stability_parameter_obs(monin, z_obs), 1) sf_obs = np.where(monin <= 0, stability_correction_heat_obs(x_b_obs), 0) # 1.5 limit is from ETLook IDL disp = np.minimum(disp, 1.5) ra = (np.log((z_obs - disp) / (0.1 * c.z0_soil)) - sf_obs) / (c.k * u_star) ra = np.maximum(ra, 25) return ra def evaporation( rn_24_soil, g0_24, ssvp_24, ad_24, vpd_24, psy_24, r_soil, h_soil_24_init, t_air_k_24, u_star_24_soil_init, disp, u_b_24, z_b=100, z_obs=2, iter_h=3, ): r""" Computes the evaporation using an iterative approach. The iteration is needed to compute the aerodynamic resistance.Iteration stops either after five iterations or if the difference between two subsequent estimations is less than 0.01. The iteration is started with an estimate on :math:`H` using the initial guess without stability corrections. Subsequent iterations use the guess with stability corrections. .. math :: E=\frac{\Delta\left(Q_{soil}^{*}-G\right)+ \rho c_{p}\frac{\Delta_{e}}{r_{a,soil}}} {\Delta+\gamma\left(1+\frac{r_{soil}}{r_{a,soil}}\right)} Parameters ---------- rn_24_soil : float net radiation for the soil :math:`Q^{*}_{canopy}` [Wm-2] g0_24 : float daily soil heat flux :math:`G` [Wm-2] ssvp_24 : float daily slope of saturated vapour pressure curve :math:`\Delta_{24}` [mbar K-1] ad_24 : float daily air density :math:`\rho_{24}` [kg m-3] vpd_24 : float daily vapour pressure deficit :math:`\Delta_{e,24}` [mbar] psy_24 : float daily psychrometric constant :math:`\gamma_{24}` [mbar K-1] r_soil : float soil resistance :math:`r_{soil}` [sm-1] h_soil_24_init : float initial estimate of the sensible heat flux for soil :math:`H^{soil}` [W m-2] t_air_k_24 : float daily air temperature in kelvin :math:`T_{a}` [K] u_star_24_soil_init : float initial estimate of the daily friction velocity for soil :math:`u_{*}` [m s-1] disp : float displacement height :math:`d` [m] u_b_24 : float daily wind speed at blending height :math:`u_{b}` [m] z_b : float blending height :math:`z_{b}` [m] z_obs : float observation height :math:`z_{obs}` [m] iter_h : integer number of iterations for sensible heat flux :math:`n_h` [-] Returns ------- e_24 : float daily evaporation energy equivalent :math:`E_{24}` [W m-2] """ iteration = 0 epsilon = 10 h_start = h_soil_24_init while (iteration < iter_h) and (np.nanmax(epsilon) > 0.1): iteration += 1 ra_soil_start = ra_soil( h_start, t_air_k_24, u_star_24_soil_init, ad_24, disp, u_b_24, z_obs, z_b ) e = ( ssvp_24 * (rn_24_soil - g0_24) + ad_24 * c.sh * (vpd_24 / ra_soil_start) ) / (ssvp_24 + psy_24 * (1 + r_soil / ra_soil_start)) h = rn_24_soil - g0_24 - e epsilon = abs(h - h_start) h_start = h return e def transpiration_mm(t_24, lh_24): r""" Computes the canopy transpiration based on the Penman Monteith equation adapted for canopy. .. math :: T=Td_{sec}\lambda_{24} where the following constants are used * :math:`d_{sec}` seconds in the day = 86400 [s] Parameters ---------- t_24 : float daily transpiration energy equivalent :math:`E^{0}` [W m-2] lh_24 : float daily latent heat of evaporation :math:`\lambda_{24}` [J/kg] Returns ------- t_24_mm : float daily transpiration in mm :math:`T` [mm d-1] """ return t_24 * c.day_sec / lh_24 def evaporation_mm(e_24, lh_24): r""" Computes the soil evaporation based on the Penman Monteith equation adapted for soils. .. math :: E=Ed_{sec}\lambda_{24} where the following constants are used * :math:`d_{sec}` seconds in the day = 86400 [s] Parameters ---------- e_24 : float daily evaporation energy equivalent :math:`E^{0}` [W m-2] lh_24 : float daily latent heat of evaporation :math:`\lambda_{24}` [J/kg] Returns ------- e_24_mm : float daily evaporation in mm :math:`E` [mm d-1] """ return e_24 * c.day_sec / lh_24

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null

0

5

ce27b2fe3014337c74593e22c2d2c5710220f1d9

146

py

Python

anthill/platform/atomic/exceptions.py

0x55AAh/anthill_gaming

475af798bd08d85fc0fbfce9d2ba710f73252c15

[ "MIT" ]

1

2018-11-30T21:56:14.000Z

anthill/platform/atomic/exceptions.py

0x55AAh/anthill_gaming

475af798bd08d85fc0fbfce9d2ba710f73252c15

[ "MIT" ]

null

anthill/platform/atomic/exceptions.py

0x55AAh/anthill_gaming

475af798bd08d85fc0fbfce9d2ba710f73252c15

[ "MIT" ]

null

class TransactionError(Exception): pass class TransactionTimeoutError(Exception): pass class TransactionFinished(Exception): pass

13.272727

41

0.767123

12

146

9.333333

0.5

0.348214

0.321429

0

0.171233

146

10

42

14.6

0.92562

0

0.5

0

1

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true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

ce39b352c5c92d6c3140c3d99d12b55c5ea9dec3

148

py

Python

app/student/__init__.py

Anonymous78/Registration-System

967c8a1c28f5c344663c5b27e0087a70c6e9f193

[ "MIT" ]

null

app/student/__init__.py

Anonymous78/Registration-System

967c8a1c28f5c344663c5b27e0087a70c6e9f193

[ "MIT" ]

null

app/student/__init__.py

Anonymous78/Registration-System

967c8a1c28f5c344663c5b27e0087a70c6e9f193

[ "MIT" ]

null

# app/student/__init__.py from flask import Blueprint student = Blueprint("student", __name__, url_prefix='/student') from . import views

18.5

64

0.722973

18

148

5.444444

0.666667

0.326531

0

0.168919

148

7

65

21.142857

0.796748

0.155405

0

0.12931

0

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false

0

0.666667

0

0.666667

1

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1

0

1

0

null

0

1

0

1

0

5

cbf03f4f56d197e09d2ee05f04a223e15f61f6de

156

py

Python

algo/algorithms/math/euclid.py

kigawas/algo-py

ca5ac3f1be47a1b89bb68f376501832e975c125b

[ "MIT" ]

null

algo/algorithms/math/euclid.py

kigawas/algo-py

ca5ac3f1be47a1b89bb68f376501832e975c125b

[ "MIT" ]

null

algo/algorithms/math/euclid.py

kigawas/algo-py

ca5ac3f1be47a1b89bb68f376501832e975c125b

[ "MIT" ]

null

def gcd(a: int, b: int) -> int: # supposed a >= b if b > a: return gcd(b, a) elif a % b == 0: return b return gcd(b, a % b)

19.5

31

0.435897

28

156

2.428571

0.357143

0.088235

0.294118

0.323529

0

0.01087

0.410256

156

7

32

22.285714

0.728261

0.096154

0

1

0.166667

false

0

0.666667

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null

0

1

0

1

0

null

0

1

0

5

026a612d21ad749194e06ebac8018add4a697550

2,995

py

Python

SensorGateway/home/tinaja/testReader.py

TinajaLabs/makerfaire2015

a9dc87912ea065d1181d7c21c6798bb30f139eb2

[ "MIT" ]

null

SensorGateway/home/tinaja/testReader.py

TinajaLabs/makerfaire2015

a9dc87912ea065d1181d7c21c6798bb30f139eb2

[ "MIT" ]

null

SensorGateway/home/tinaja/testReader.py

TinajaLabs/makerfaire2015

a9dc87912ea065d1181d7c21c6798bb30f139eb2

[ "MIT" ]

null

#!/usr/bin/env python import serial, syslog, time from XBEE import xbee # SERIALPORT = "/dev/tts/0" # the com/serial port the XBee is connected to SERIALPORT = "/dev/ttyAMA0" # the com/serial port the XBee is connected to BAUDRATE = 9600 # the baud rate we talk to the xbee # open up the FTDI serial port to get data transmitted to xbee ser = serial.Serial(SERIALPORT, BAUDRATE) ser.open() print "serial port opened...?" syslog.syslog("serial port opened...") print "ready... and waiting for sensor data" while True: # grab one packet from the xbee, or timeout syslog.syslog("testReader.py - " + time.strftime("%Y %m %d, %H:%M")) packet = xbee.find_packet(ser) if packet: xb = xbee(packet) print xb try: if xb.address_16 == 140: print "014: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 13: print "023: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 23: print "023: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 12: print "012: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 21: print "021: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 160: print "016: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 170: print "017: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 180: print "018: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 190: print "019: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 200: print "020: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] if xb.address_16 == 210: print "021: ", xb.analog_samples[0][0], xb.analog_samples[0][1], xb.analog_samples[0][2], xb.analog_samples[0][3], xb.analog_samples[0][4] except Exception, e: print "xb exception: "+str(e) syslog.syslog("xb exception: "+str(e))

54.454545

154

0.612354

482

2,995

3.665975

0.188797

0.24901

0.466893

0.498019

0.661573

0.620826

0

0.085361

0.217696

2,995

54

155

55.462963

0.668801

0.092487

0

0.097561

0

0.076015

0

null

0

0.04878

null

0.365854

0

null

1

0

1

0

null

0

1

0

5

0280fd87c7bc18bb0ab3836466f5f9731ffdd2e8

156

py

Python

lib/rapidsms/messages/error.py

ILMServices/rapidsms

17cdb3d867cb1b78cfce59dc90e494bc54818e92

[ "BSD-3-Clause" ]

3

2015-04-17T04:47:31.000Z

2018-04-02T17:44:19.000Z

lib/rapidsms/messages/error.py

sparkplug/rapidsms

17cdb3d867cb1b78cfce59dc90e494bc54818e92

[ "BSD-3-Clause" ]

null

lib/rapidsms/messages/error.py

sparkplug/rapidsms

17cdb3d867cb1b78cfce59dc90e494bc54818e92

[ "BSD-3-Clause" ]

4

2015-01-30T02:53:13.000Z

2019-11-08T11:08:20.000Z

#!/usr/bin/env python # vim: ai ts=4 sts=4 et sw=4 from .outgoing import OutgoingMessage class ErrorMessage(OutgoingMessage): """ """ pass

12

37

0.647436

21

156

4.809524

0.857143

0

0.024793

0.224359

156

12

38

13

0.809917

0.301282

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

null

0

1

0

1

0

5

5a66a2edf2304f5c415271677482486cad0b692e

54

py

Python

jupyterlabpymolpysnips/FormatLabel/labelSS.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

jupyterlabpymolpysnips/FormatLabel/labelSS.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

jupyterlabpymolpysnips/FormatLabel/labelSS.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

cmd.do('alter , ss='%1';') cmd.do('label (%2),'%3';')

18

26

0.462963

10

54

2.5

0.8

0.4

0

0.061224

0.092593

54

2

27

0.44898

0

0.444444

0

null

0

null

0

1

0

null

1

0

1

0

1

0

null

0

1

0

5

ce5b43203d86127dc5e3e2997d95d14caf1e7e7d

20

py

Python

3-1/codestar/1009.py

sat0317/root

c9ec76f9139a577805fa387daf7c4d8169d0b2e7

[ "MIT" ]

null

3-1/codestar/1009.py

sat0317/root

c9ec76f9139a577805fa387daf7c4d8169d0b2e7

[ "MIT" ]

null

3-1/codestar/1009.py

sat0317/root

c9ec76f9139a577805fa387daf7c4d8169d0b2e7

[ "MIT" ]

null

print(str(input()))

10

19

0.65

3

20

4.333333

1

0

0.05

20

1

20

0.684211

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

ce69e53a8361d3c5434fe76317fc098e6c2d878f

204

py

Python

template/first_program.py

mjtsai1974/DevBlog

f1429e28e7ea618a64f5e111be4d7f42ae616ce8

[ "MIT" ]

null

template/first_program.py

mjtsai1974/DevBlog

f1429e28e7ea618a64f5e111be4d7f42ae616ce8

[ "MIT" ]

null

template/first_program.py

mjtsai1974/DevBlog

f1429e28e7ea618a64f5e111be4d7f42ae616ce8

[ "MIT" ]

null

# First Python program from __future__ import print_function, division import time print('Welcome to your first Python program.') #raw_input('Press enter to exit the program.') print('Bye!') time.sleep(2)

29.142857

47

0.779412

31

204

4.935484

0.709677

0.143791

0.235294

0

0.005556

0.117647

204

7

48

29.142857

0.844444

0.318627

0

0.29927

0

1

0

true

0

0.4

0

0.4

0.6

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

ce8f1cf641c153eb1b924e7dc7f2f0ca14e85828

196

py

Python

myapp/admin.py

pkbagchi/Result-Processing-System-DIU

4df5b736574e3b579e4eae28013afec982124473

[ "MIT" ]

null

myapp/admin.py

pkbagchi/Result-Processing-System-DIU

4df5b736574e3b579e4eae28013afec982124473

[ "MIT" ]

1

2020-05-24T06:50:27.000Z

2020-07-21T05:02:51.000Z

myapp/admin.py

pkbagchi/Result-Processing-System-DIU

4df5b736574e3b579e4eae28013afec982124473

[ "MIT" ]

null

from django.contrib import admin from .models import Student, Result, Semester # Register your models here. admin.site.register(Student) admin.site.register(Result) admin.site.register(Semester)

28

46

0.811224

27

196

5.888889

0.481481

0.169811

0.320755

0

0.096939

196

6

47

32.666667

0.898305

0.132653

0

1

0

true

0

0.4

0

0.4

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

ced806a75a34c6682a63e2f4ace56ddcdacb0b77

188

py

Python

market_maker/utils/errors.py

Quant-Network/sample-market-maker

4c47b60be66b1aead901400ba5fe96abf5e73c1b

[ "Apache-2.0" ]

null

market_maker/utils/errors.py

Quant-Network/sample-market-maker

4c47b60be66b1aead901400ba5fe96abf5e73c1b

[ "Apache-2.0" ]

null

market_maker/utils/errors.py

Quant-Network/sample-market-maker

4c47b60be66b1aead901400ba5fe96abf5e73c1b

[ "Apache-2.0" ]

1

2021-04-27T12:02:41.000Z

class AuthenticationError(Exception): pass class MarketClosedError(Exception): pass class MarketEmptyError(Exception): pass class InternalStateBotError(Exception): pass

15.666667

39

0.771277

16

188

9.0625

0.4375

0.358621

0.372414

0

0.164894

188

11

40

17.090909

0.923567

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

null

0

1

0

5

ceda617097ada5b35b42451310920805a73bcd1b

369

py

Python

examples/database.py

Kehrlann/python-test-examples

9c5aa8c500cfd892dbd9e4cc1c6660ff1566b771

[ "Apache-2.0" ]

null

examples/database.py

Kehrlann/python-test-examples

9c5aa8c500cfd892dbd9e4cc1c6660ff1566b771

[ "Apache-2.0" ]

null

examples/database.py

Kehrlann/python-test-examples

9c5aa8c500cfd892dbd9e4cc1c6660ff1566b771

[ "Apache-2.0" ]

null

class Database: def __init__(self): self.stuff = {} def cleanup(self): self.stuff = {} def save(self, id, timestamp, count): self.stuff[id] = { 'timestamp': timestamp, 'count': count } def find_all(self, id): return [self.stuff[id]] def count(self): return len(self.stuff)

19.421053

41

0.514905

41

369

4.512195

0.365854

0.243243

0.140541

0.172973

0

0.352304

369

18

42

20.5

0.774059

0

0.142857

0

0.03794

0

1

0.357143

false

0

0.142857

0.571429

0

null

1

0

1

0

null

0

1

0

1

0

5

0c7595c0482009b3e37f5753010dd64392117552

65

py

Python

collagen/data/utils/_solt.py

MIPT-Oulu/Collagen

0cbc4285d60e5c9fcc89f629fcf4321e80b7452c

[ "MIT" ]

4

2019-05-14T14:44:51.000Z

2020-03-13T08:37:48.000Z

collagen/data/utils/_solt.py

MIPT-Oulu/Collagen

0cbc4285d60e5c9fcc89f629fcf4321e80b7452c

[ "MIT" ]

26

2019-04-21T20:35:22.000Z

2022-03-12T00:32:57.000Z

collagen/data/utils/_solt.py

MIPT-Oulu/Collagen

0cbc4285d60e5c9fcc89f629fcf4321e80b7452c

[ "MIT" ]

1

2019-05-14T14:53:28.000Z

# TODO: Define properly a set of transformers to and from SOLT!!

32.5

64

0.753846

11

65

4.454545

1

0

0.184615

65

1

65

0.924528

0.953846

0

null

0

null

0

null

0

1

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

0cb177c931d0c8a1b6bfdab060ce33b8c2f27760

14,058

py

Python

tests/test_icdar_format.py

yasakova-anastasia/datumaro

7082fc4f50291d3b3c2022f069f76628e9fd07bb

[ "MIT" ]

null

tests/test_icdar_format.py

yasakova-anastasia/datumaro

7082fc4f50291d3b3c2022f069f76628e9fd07bb

[ "MIT" ]

1

2021-10-05T17:41:05.000Z

tests/test_icdar_format.py

yasakova-anastasia/datumaro

7082fc4f50291d3b3c2022f069f76628e9fd07bb

[ "MIT" ]

null

from functools import partial from unittest import TestCase import os.path as osp import numpy as np from datumaro.components.annotation import Bbox, Caption, Mask, Polygon from datumaro.components.environment import Environment from datumaro.components.extractor import DatasetItem from datumaro.components.project import Dataset from datumaro.plugins.icdar_format.converter import ( IcdarTextLocalizationConverter, IcdarTextSegmentationConverter, IcdarWordRecognitionConverter, ) from datumaro.plugins.icdar_format.extractor import ( IcdarTextLocalizationImporter, IcdarTextSegmentationImporter, IcdarWordRecognitionImporter, ) from datumaro.util.image import Image from datumaro.util.test_utils import ( TestDir, compare_datasets, test_save_and_load, ) from .requirements import Requirements, mark_requirement DUMMY_DATASET_DIR = osp.join(osp.dirname(__file__), 'assets', 'icdar_dataset') class IcdarImporterTest(TestCase): @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_detect_word_recognition(self): detected_formats = Environment().detect_dataset( osp.join(DUMMY_DATASET_DIR, 'word_recognition')) self.assertIn(IcdarWordRecognitionImporter.NAME, detected_formats) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_detect_text_localization(self): detected_formats = Environment().detect_dataset( osp.join(DUMMY_DATASET_DIR, 'text_localization')) self.assertEqual([IcdarTextLocalizationImporter.NAME], detected_formats) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_detect_text_segmentation(self): detected_formats = Environment().detect_dataset( osp.join(DUMMY_DATASET_DIR, 'text_segmentation')) self.assertIn(IcdarTextSegmentationImporter.NAME, detected_formats) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_import_captions(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='word_1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Caption('PROPER'), ] ), DatasetItem(id='word_2', subset='train', image=np.ones((10, 15, 3)), annotations=[ Caption("Canon"), ] ), ]) dataset = Dataset.import_from( osp.join(DUMMY_DATASET_DIR, 'word_recognition'), 'icdar_word_recognition') compare_datasets(self, expected_dataset, dataset) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_import_bboxes(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='img_1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Polygon([0, 0, 3, 1, 4, 6, 1, 7], attributes={'text': 'FOOD'}), ] ), DatasetItem(id='img_2', subset='train', image=np.ones((10, 15, 3)), annotations=[ Bbox(0, 0, 2, 3, attributes={'text': 'RED'}), Bbox(3, 3, 2, 3, attributes={'text': 'LION'}), ] ), ]) dataset = Dataset.import_from( osp.join(DUMMY_DATASET_DIR, 'text_localization'), 'icdar_text_localization') compare_datasets(self, expected_dataset, dataset) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_import_masks(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='1', subset='train', image=np.ones((2, 5, 3)), annotations=[ Mask(group=0, image=np.array([[0, 1, 1, 0, 0], [0, 0, 0, 0, 0]]), attributes={ 'index': 0, 'color': '108 225 132', 'text': 'F', 'center': '0 1' }), Mask(group=1, image=np.array([[0, 0, 0, 1, 0], [0, 0, 0, 1, 0]]), attributes={ 'index': 1, 'color': '82 174 214', 'text': 'T', 'center': '1 3' }), Mask(group=1, image=np.array([[0, 0, 0, 0, 0], [0, 0, 0, 0, 1]]), attributes={ 'index': 2, 'color': '241 73 144', 'text': 'h', 'center': '1 4' }), ] ), ]) dataset = Dataset.import_from( osp.join(DUMMY_DATASET_DIR, 'text_segmentation'), 'icdar_text_segmentation') compare_datasets(self, expected_dataset, dataset) class IcdarConverterTest(TestCase): def _test_save_and_load(self, source_dataset, converter, test_dir, importer, target_dataset=None, importer_args=None, **kwargs): return test_save_and_load(self, source_dataset, converter, test_dir, importer, target_dataset=target_dataset, importer_args=importer_args, **kwargs) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_captions(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='a/b/1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Caption('caption 0'), ]), DatasetItem(id=2, subset='train', image=np.ones((10, 15, 3)), annotations=[ Caption('caption_1'), ]), ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarWordRecognitionConverter.convert, save_images=True), test_dir, 'icdar_word_recognition') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_captions_with_no_save_images(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='a/b/1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Caption('caption 0'), ]) ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarWordRecognitionConverter.convert, save_images=False), test_dir, 'icdar_word_recognition') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_bboxes(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='a/b/1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Bbox(1, 3, 6, 10), Bbox(0, 1, 3, 5, attributes={'text': 'word 0'}), ]), DatasetItem(id=2, subset='train', image=np.ones((10, 15, 3)), annotations=[ Polygon([0, 0, 3, 0, 4, 7, 1, 8], attributes={'text': 'word 1'}), Polygon([1, 2, 5, 3, 6, 8, 0, 7]), ]), DatasetItem(id=3, subset='train', image=np.ones((10, 15, 3)), annotations=[ Polygon([2, 2, 8, 3, 7, 10, 2, 9], attributes={'text': 'word_2'}), Bbox(0, 2, 5, 9, attributes={'text': 'word_3'}), ]), ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarTextLocalizationConverter.convert, save_images=True), test_dir, 'icdar_text_localization') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_bboxes_with_no_save_images(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id=3, subset='train', image=np.ones((10, 15, 3)), annotations=[ Polygon([2, 2, 8, 3, 7, 10, 2, 9], attributes={'text': 'word_2'}), Bbox(0, 2, 5, 9, attributes={'text': 'word_3'}), ]), ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarTextLocalizationConverter.convert, save_images=False), test_dir, 'icdar_text_localization') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_masks(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='a/b/1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Mask(image=np.array([[0, 0, 0, 1, 1]]), group=1, attributes={ 'index': 1, 'color': '82 174 214', 'text': 'j', 'center': '0 3' }), Mask(image=np.array([[0, 1, 1, 0, 0]]), group=1, attributes={ 'index': 0, 'color': '108 225 132', 'text': 'F', 'center': '0 1' }), ]), DatasetItem(id=2, subset='train', image=np.ones((10, 15, 3)), annotations=[ Mask(image=np.array([[0, 0, 0, 0, 0, 1]]), group=0, attributes={ 'index': 3, 'color': '183 6 28', 'text': ' ', 'center': '0 5' }), Mask(image=np.array([[1, 0, 0, 0, 0, 0]]), group=1, attributes={ 'index': 0, 'color': '108 225 132', 'text': 'L', 'center': '0 0' }), Mask(image=np.array([[0, 0, 0, 1, 1, 0]]), group=1, attributes={ 'index': 1, 'color': '82 174 214', 'text': 'o', 'center': '0 3' }), Mask(image=np.array([[0, 1, 1, 0, 0, 0]]), group=0, attributes={ 'index': 2, 'color': '241 73 144', 'text': 'P', 'center': '0 1' }), ]), ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarTextSegmentationConverter.convert, save_images=True), test_dir, 'icdar_text_segmentation') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_masks_with_no_save_images(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='a/b/1', subset='train', image=np.ones((10, 15, 3)), annotations=[ Mask(image=np.array([[0, 0, 0, 1, 1]]), group=1, attributes={ 'index': 1, 'color': '82 174 214', 'text': 'j', 'center': '0 3' }), Mask(image=np.array([[0, 1, 1, 0, 0]]), group=1, attributes={ 'index': 0, 'color': '108 225 132', 'text': 'F', 'center': '0 1' }), ]), ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarTextSegmentationConverter.convert, save_images=False), test_dir, 'icdar_text_segmentation') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_with_no_subsets(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id=1, image=np.ones((8, 8, 3)), annotations=[ Bbox(0, 1, 3, 5), ]), ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, IcdarTextLocalizationConverter.convert, test_dir, 'icdar_text_localization') @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_dataset_with_cyrillic_and_spaces_in_filename(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='кириллица с пробелом', image=np.ones((8, 8, 3))), ]) for importer, converter in [ ('icdar_word_recognition', IcdarWordRecognitionConverter), ('icdar_text_localization', IcdarTextLocalizationConverter), ('icdar_text_segmentation', IcdarTextSegmentationConverter), ]: with self.subTest(subformat=converter), TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(converter.convert, save_images=True), test_dir, importer, require_images=True) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_image_with_arbitrary_extension(self): expected = Dataset.from_iterable([ DatasetItem(id='q/1', image=Image(path='q/1.JPEG', data=np.zeros((4, 3, 3)))), DatasetItem(id='a/b/c/2', image=Image(path='a/b/c/2.bmp', data=np.zeros((3, 4, 3)))), ]) for importer, converter in [ ('icdar_word_recognition', IcdarWordRecognitionConverter), ('icdar_text_localization', IcdarTextLocalizationConverter), ('icdar_text_segmentation', IcdarTextSegmentationConverter), ]: with self.subTest(subformat=converter), TestDir() as test_dir: self._test_save_and_load(expected, partial(converter.convert, save_images=True), test_dir, importer, require_images=True) @mark_requirement(Requirements.DATUM_GENERAL_REQ) def test_can_save_and_load_captions_with_quotes(self): expected_dataset = Dataset.from_iterable([ DatasetItem(id='1', image=np.ones((5, 5, 3)), annotations=[Caption('caption\"')] ) ]) with TestDir() as test_dir: self._test_save_and_load(expected_dataset, partial(IcdarWordRecognitionConverter.convert, save_images=True), test_dir, 'icdar_word_recognition')

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0ccd776bfb89ec04382a5b7ce1c3f2b8f1f50fe4

158

py

Python

tensortrade/orders/__init__.py

cihilt/tensortrade

47b8f2f043d3cc430838aac02a915ab42dcc7b64

[ "Apache-2.0" ]

7

2020-09-28T23:36:40.000Z

2022-02-22T02:00:32.000Z

tensortrade/orders/__init__.py

cihilt/tensortrade

47b8f2f043d3cc430838aac02a915ab42dcc7b64

[ "Apache-2.0" ]

4

2020-11-13T18:48:52.000Z

2022-02-10T01:29:47.000Z

tensortrade/orders/__init__.py

cihilt/tensortrade

47b8f2f043d3cc430838aac02a915ab42dcc7b64

[ "Apache-2.0" ]

3

2020-11-23T17:31:59.000Z

2021-04-08T10:55:03.000Z

from .broker import Broker from .order import Order, OrderStatus from .order_listener import OrderListener from .recipe import Recipe from . import criteria

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0cf10e31cd60967c9e5e90c6c2fde672516e9aed

9,228

py

Python

tests/legacy/test_run.py

symuvia/symupy

e6604c59bb4474f594ef5c997508f0407c9b3870

[ "MIT" ]

2

2019-07-01T09:58:53.000Z

2020-06-12T12:12:46.000Z

tests/legacy/test_run.py

licit-lab/symupy

942a17ee78cd12a363a4cd7b7f8363e239ccf7fe

[ "MIT" ]

33

2021-01-18T13:59:01.000Z

2021-11-29T13:21:10.000Z

tests/legacy/test_run.py

licit-lab/symupy

942a17ee78cd12a363a4cd7b7f8363e239ccf7fe

[ "MIT" ]

7

2018-07-12T13:34:38.000Z

2019-10-02T13:37:31.000Z

import os import unittest from symupy.runtime.api import Simulation, Simulator import platform class TestBottleneck001(unittest.TestCase): def setUp(self): self.get_simulator() self.get_bottleneck_001() def get_simulator(self): self.libpath = ("lib", _libpath, _libfilen) self.sim_path = os.path.join(os.getcwd(), *self.libpath) def get_bottleneck_001(self): self.file_name = "bottleneck_001.xml" file_path = ("tests", "mocks", "bottlenecks", self.file_name) self.mocks_path = os.path.join(os.getcwd(), *file_path) @unittest.skip("Skipping momentary") def test_load_bottleneck_001(self): sim_case = Simulation(self.mocks_path) self.assertEqual(sim_case.filename, self.mocks_path) @unittest.skip("Skipping momentary") def test_constructor_bottleneck_001(self): sim_instance = Simulator.from_path(self.mocks_path, self.sim_path) self.assertEqual(self.mocks_path, sim_instance.casename) @unittest.skip("Skipping momentary") def test_get_simulation_data_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_param = sim_case.get_simulation_parameters() PAR = ( { "id": "simID", "pasdetemps": "1", "debut": "00:00:00", "fin": "00:00:30", "loipoursuite": "exacte", "comportementflux": "iti", "date": "1985-01-17", "titre": "", "proc_deceleration": "false", "seed": "1", }, { "id": "simID2", "pasdetemps": "1", "debut": "00:00:00", "fin": "00:00:30", "loipoursuite": "exacte", "comportementflux": "iti", "date": "1985-01-17", "titre": "", "proc_deceleration": "false", "seed": "1", }, ) self.assertTupleEqual(sim_param, PAR) @unittest.skip("Skipping momentary") def test_get_vehicletype_data_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_vehtype = sim_case.get_vehicletype_information() VEH_TYPE = ( {"id": "VL", "w": "-5.8823", "kx": "0.17", "vx": "25"}, {"id": "VL2", "w": "-5.8823", "kx": "0.17", "vx": "25"}, ) self.assertTupleEqual(sim_vehtype, VEH_TYPE) @unittest.skip("Skipping momentary") def test_get_network_endpoints_botleneck_001(self): sim_case = Simulation(self.mocks_path) sim_endpoints = sim_case.get_network_endpoints() END_POINTS = ("Ext_In", "Ext_Out") self.assertTupleEqual(sim_endpoints, END_POINTS) @unittest.skip("Skipping momentary") def test_run_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.load_symuvia() sim_instance.run_simulation(sim_case) @unittest.skip("Skipping momentary") def test_run_simulation_alternative_constructor_bottleneck_001(self): sim_instance = Simulator.from_path(self.mocks_path, self.sim_path) sim_instance.run_simulation() @unittest.skip("Skipping momentary") def test_run_stepbystep_bottleneck_001(self): # Using new constructor sim_instance = Simulator.from_path(self.mocks_path, self.sim_path) with sim_instance as s: while s.do_next: s.run_step() @unittest.skip("Skipping momentary") def test_initialize_container_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) with sim_instance as s: while s.do_next: # TODO: This needs some work on Parser.py s.state.get_vehicle_data() @unittest.skip("Skipping momentary") def test_create_vehicle_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) # with sim_instance.load_symuvia() sim_instance.load_network() sim_instance.init_simulation() veh_id = sim_instance.create_vehicle("VL", "Ext_In", "Ext_Out") self.assertGreaterEqual(veh_id, 0) @unittest.skip("Skipping momentary") def test_create_drive_vehicle_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) # with # REVIEW: For the sake of simplicity the vehicle will be created after an entering vehicle has been created. with sim_instance as s: while s.do_next: s.request_answer() # Initialize s.request_answer() # Vehicle 0 veh_id = s.create_vehicle("VL", "Ext_In", "Ext_Out") s.request_answer() # Vehicle instantiation drive_status = s.drive_vehicle(veh_id, 20.0, "Zone_001") s.stop_step() self.assertGreaterEqual(veh_id, 0) self.assertEqual(drive_status, 1) self.assertAlmostEqual( float(sim_instance.state.query_vehicle_position("1")[0]), 20.0 ) @unittest.skip("Skipping momentary") def test_drive_vehicle_bottleneck_001(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) # with with sim_instance as s: while s.do_next: s.run_step() if s.state.is_vehicle_in_network("0"): drive_status = s.drive_vehicle(0, 1.0) s.run_step() drive_status = s.drive_vehicle(0, 1.0) s.stop_step() continue else: continue self.assertEqual(drive_status, 1) self.assertAlmostEqual( float(sim_instance.state.query_vehicle_position("0")[0]), 1.0 ) class TestBottleneck002(unittest.TestCase): def setUp(self): self.get_simulator() self.get_bottleneck_002() def get_simulator(self): self.libpath = ("lib", _libpath, _libfilen) self.sim_path = os.path.join(os.getcwd(), *self.libpath) def get_bottleneck_002(self): self.file_name = "bottleneck_002.xml" file_path = ("tests", "mocks", "bottlenecks", self.file_name) self.mocks_path = os.path.join(os.getcwd(), *file_path) @unittest.skip("Skipping momentary") def test_load_bottleneck_002(self): sim_case = Simulation(self.mocks_path) self.assertEqual(sim_case.filename, self.mocks_path) @unittest.skip("Skipping momentary") def test_run_bottleneck_002(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.load_symuvia() sim_instance.run_simulation(sim_case) @unittest.skip("Skipping momentary") def test_run_stepbystep_bottleneck_002(self): # Using new constructor sim_instance = Simulator.from_path(self.mocks_path, self.sim_path) with sim_instance as s: while s.do_next: s.run_step() @unittest.skip("Skipping momentary") def test_query_vehicles_upstream_bottleneck002(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) with sim_instance as s: while s.do_next: s.run_step() if s.state.is_vehicle_in_network("2"): (nup,) = s.state.vehicle_upstream_of("1") s.stop_step() continue else: continue self.assertEqual(nup, "2") @unittest.skip("Skipping momentary") def test_query_vehicles_downstream_bottleneck002(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) with sim_instance as s: while s.do_next: s.run_step() if s.state.is_vehicle_in_network("2"): (ndown,) = s.state.vehicle_downstream_of("1") s.stop_step() continue else: continue self.assertEqual(ndown, "0") @unittest.skip("Skipping momentary") def test_query_vehicle_neighbors_bottleneck002(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) pass @unittest.skip("Skipping momentary") def test_fixed_leader_neighbors_bottleneck002(self): sim_case = Simulation(self.mocks_path) sim_instance = Simulator(self.sim_path) sim_instance.register_simulation(sim_case) pass

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null

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5

0b639a65344f1511e3c85e0b3e581170e4e6bf72

336

py

Python

CA117/Lab_7/lotto_42.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

6

2016-02-04T00:15:20.000Z

2019-10-13T13:53:16.000Z

CA117/Lab_7/lotto_42.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

2

2016-03-14T04:01:36.000Z

2019-10-16T12:45:34.000Z

CA117/Lab_7/lotto_42.py

PRITI1999/OneLineWonders

91a7368e0796e5a3b5839c9165f9fbe5460879f5

[ "MIT" ]

10

2016-02-09T14:38:32.000Z

2021-05-25T08:16:26.000Z

(lambda C,M,B:(lambda P:[print("Match {}'s : {:>5} ({} to 1)".format(n,P.count(n),"?"if P.count(n)==0else int(1000000/P.count(n))))for n in range(3,7)])([len(set(__import__("random").sample(B,6)).intersection(C))for _ in range(0,1000001)]))([int(x)for x in __import__("sys").argv[1:]],{x:0for x in range(3,7)},[x for x in range(1,48)])

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0

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0b7b7cd047603eacd51102f37852acfe25355209

135

py

Python

greeting.py

taras-stx/pytest-tips-tricks

beec4d284a3ff9796c92426ca499fea5bc4eb18f

[ "CC0-1.0" ]

1

2022-03-13T18:07:33.000Z

greeting.py

taras-stx/pytest-tips-tricks

beec4d284a3ff9796c92426ca499fea5bc4eb18f

[ "CC0-1.0" ]

null

greeting.py

taras-stx/pytest-tips-tricks

beec4d284a3ff9796c92426ca499fea5bc4eb18f

[ "CC0-1.0" ]

4

2021-11-29T07:42:13.000Z

2022-02-20T04:39:12.000Z

def my_name(name): # import ipdb;ipdb.set_trace() return f"My name is: {name}" if __name__ == "__main__": my_name("bob")

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null

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1

0

5

f01f10b437d577155785b7e52cd755683129e070

2,026

py

Python

fluiddb/common/paths.py

fluidinfo/fluiddb

b5a8c8349f3eaf3364cc4efba4736c3e33b30d96

[ "Apache-2.0" ]

3

2021-05-10T14:41:30.000Z

2021-12-16T05:53:30.000Z

fluiddb/common/paths.py

fluidinfo/fluiddb

b5a8c8349f3eaf3364cc4efba4736c3e33b30d96

[ "Apache-2.0" ]

null

fluiddb/common/paths.py

fluidinfo/fluiddb

b5a8c8349f3eaf3364cc4efba4736c3e33b30d96

[ "Apache-2.0" ]

2

2018-01-24T09:03:21.000Z

2021-06-25T08:34:54.000Z

# All paths that have to do with permissions are in permissions.py from fluiddb.common import queues from fluiddb.common.defaults import ( adminUsername, namespaceCategoryName, tagCategoryName, aboutTagName, pathTagName, descriptionTagName, usernameTagName, passwordTagName, nameTagName, emailTagName, adminUserNamespaceName, activationTokenTagName, createdAtTagName) from fluiddb.common.types_thrift.ttypes import TInvalidPath maxPathLength = (queues.maxQueueNameLength - max(len(queues.makeTagQueue('')), len(queues.makeNamespaceQueue('')))) def checkPath(path): if len(path) > maxPathLength: raise TInvalidPath() def aboutPath(): return [adminUsername, aboutTagName] def categoryPath(category): # TODO: This should really be called categoryPathPath. if category == namespaceCategoryName: return [adminUsername, category, pathTagName] else: # This case catches tagCategoryName and # defaults.tagInstanceSetCategoryName. We do no error # checking. return [adminUsername, tagCategoryName, pathTagName] def categoryDescriptionPath(category): if category == namespaceCategoryName: return [adminUsername, category, descriptionTagName] else: # This case catches tagCategoryName and # defaults.tagInstanceSetCategoryName. We do no error # checking. return [adminUsername, tagCategoryName, descriptionTagName] def usernamePath(): return [adminUsername, adminUserNamespaceName, usernameTagName] def namePath(): return [adminUsername, adminUserNamespaceName, nameTagName] def passwordPath(): return [adminUsername, adminUserNamespaceName, passwordTagName] def emailPath(): return [adminUsername, adminUserNamespaceName, emailTagName] def activationTokenPath(): return [adminUsername, adminUserNamespaceName, activationTokenTagName] def createdAtPath(): return [adminUsername, adminUserNamespaceName, createdAtTagName]

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1

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1

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5

f02cec6f38083ac5910194a0a9d1276d94999756

113

py

Python

auth/view/resource/sign_in_request.py

nicolaszein/auth

90112f1a4d6f368714b19daad7e8a4226594b383

[ "MIT" ]

null

auth/view/resource/sign_in_request.py

nicolaszein/auth

90112f1a4d6f368714b19daad7e8a4226594b383

[ "MIT" ]

null

auth/view/resource/sign_in_request.py

nicolaszein/auth

90112f1a4d6f368714b19daad7e8a4226594b383

[ "MIT" ]

null

from pydantic import BaseModel, EmailStr class SignInRequest(BaseModel): email: EmailStr password: str

16.142857

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113

7.166667

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0

1

0

null

0

1

0

1

0

5

f038ce8f5eaa02a52ba725c5cb79563131146d02

144

py

Python

Curso_de_Python_3_do_Basico_Ao_Avancado_Udemy/aula165/produto/views.py

DanilooSilva/Cursos_de_Python

8f167a4c6e16f01601e23b6f107578aa1454472d

[ "MIT" ]

null

Curso_de_Python_3_do_Basico_Ao_Avancado_Udemy/aula165/produto/views.py

DanilooSilva/Cursos_de_Python

8f167a4c6e16f01601e23b6f107578aa1454472d

[ "MIT" ]

null

Curso_de_Python_3_do_Basico_Ao_Avancado_Udemy/aula165/produto/views.py

DanilooSilva/Cursos_de_Python

8f167a4c6e16f01601e23b6f107578aa1454472d

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse def metodo(request): return render(request, 'produto/index.html')

24

48

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144

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0.736842

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0

null

0

1

0

1

0

5

f064a52cd3b5c792ba5a18a634af118db25ec329

107

py

Python

home/views.py

nadeengamage/esta-i

a94a7ce53006c291d1133c8d66c7566e8b5ac420

[ "Apache-2.0" ]

null

home/views.py

nadeengamage/esta-i

a94a7ce53006c291d1133c8d66c7566e8b5ac420

[ "Apache-2.0" ]

3

2021-04-08T20:57:59.000Z

2022-02-10T12:07:58.000Z

home/views.py

nadeengamage/esta-i

a94a7ce53006c291d1133c8d66c7566e8b5ac420

[ "Apache-2.0" ]

null

from django.shortcuts import render def index(request): return render(request, 'home/views/index.html')

17.833333

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0

1

0

null

0

1

0

1

0

5

f07540cf59212efbdc2ebce0c13e4861bdfa1f2b

9,033

py

Python

packages/python/plotly/plotly/graph_objs/surface/_contours.py

labaran1/plotly.py

7ec751e8fed4a570c11ea4bea2231806389d62eb

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/surface/_contours.py

labaran1/plotly.py

7ec751e8fed4a570c11ea4bea2231806389d62eb

[ "MIT" ]

null

packages/python/plotly/plotly/graph_objs/surface/_contours.py

labaran1/plotly.py

7ec751e8fed4a570c11ea4bea2231806389d62eb

[ "MIT" ]

null

from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Contours(_BaseTraceHierarchyType): # class properties # -------------------- _parent_path_str = "surface" _path_str = "surface.contours" _valid_props = {"x", "y", "z"} # x # - @property def x(self): """ The 'x' property is an instance of X that may be specified as: - An instance of :class:`plotly.graph_objs.surface.contours.X` - A dict of string/value properties that will be passed to the X constructor Supported dict properties: color Sets the color of the contour lines. end Sets the end contour level value. Must be more than `contours.start` highlight Determines whether or not contour lines about the x dimension are highlighted on hover. highlightcolor Sets the color of the highlighted contour lines. highlightwidth Sets the width of the highlighted contour lines. project :class:`plotly.graph_objects.surface.contours.x .Project` instance or dict with compatible properties show Determines whether or not contour lines about the x dimension are drawn. size Sets the step between each contour level. Must be positive. start Sets the starting contour level value. Must be less than `contours.end` usecolormap An alternate to "color". Determines whether or not the contour lines are colored using the trace "colorscale". width Sets the width of the contour lines. Returns ------- plotly.graph_objs.surface.contours.X """ return self["x"] @x.setter def x(self, val): self["x"] = val # y # - @property def y(self): """ The 'y' property is an instance of Y that may be specified as: - An instance of :class:`plotly.graph_objs.surface.contours.Y` - A dict of string/value properties that will be passed to the Y constructor Supported dict properties: color Sets the color of the contour lines. end Sets the end contour level value. Must be more than `contours.start` highlight Determines whether or not contour lines about the y dimension are highlighted on hover. highlightcolor Sets the color of the highlighted contour lines. highlightwidth Sets the width of the highlighted contour lines. project :class:`plotly.graph_objects.surface.contours.y .Project` instance or dict with compatible properties show Determines whether or not contour lines about the y dimension are drawn. size Sets the step between each contour level. Must be positive. start Sets the starting contour level value. Must be less than `contours.end` usecolormap An alternate to "color". Determines whether or not the contour lines are colored using the trace "colorscale". width Sets the width of the contour lines. Returns ------- plotly.graph_objs.surface.contours.Y """ return self["y"] @y.setter def y(self, val): self["y"] = val # z # - @property def z(self): """ The 'z' property is an instance of Z that may be specified as: - An instance of :class:`plotly.graph_objs.surface.contours.Z` - A dict of string/value properties that will be passed to the Z constructor Supported dict properties: color Sets the color of the contour lines. end Sets the end contour level value. Must be more than `contours.start` highlight Determines whether or not contour lines about the z dimension are highlighted on hover. highlightcolor Sets the color of the highlighted contour lines. highlightwidth Sets the width of the highlighted contour lines. project :class:`plotly.graph_objects.surface.contours.z .Project` instance or dict with compatible properties show Determines whether or not contour lines about the z dimension are drawn. size Sets the step between each contour level. Must be positive. start Sets the starting contour level value. Must be less than `contours.end` usecolormap An alternate to "color". Determines whether or not the contour lines are colored using the trace "colorscale". width Sets the width of the contour lines. Returns ------- plotly.graph_objs.surface.contours.Z """ return self["z"] @z.setter def z(self, val): self["z"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ x :class:`plotly.graph_objects.surface.contours.X` instance or dict with compatible properties y :class:`plotly.graph_objects.surface.contours.Y` instance or dict with compatible properties z :class:`plotly.graph_objects.surface.contours.Z` instance or dict with compatible properties """ def __init__(self, arg=None, x=None, y=None, z=None, **kwargs): """ Construct a new Contours object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.surface.Contours` x :class:`plotly.graph_objects.surface.contours.X` instance or dict with compatible properties y :class:`plotly.graph_objects.surface.contours.Y` instance or dict with compatible properties z :class:`plotly.graph_objects.surface.contours.Z` instance or dict with compatible properties Returns ------- Contours """ super(Contours, self).__init__("contours") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.surface.Contours constructor must be a dict or an instance of :class:`plotly.graph_objs.surface.Contours`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v _v = arg.pop("z", None) _v = z if z is not None else _v if _v is not None: self["z"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False

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0

null

0

1

0

null

0

5

b2db6f9aa7b93c8fbaea251533d45094a7b43fc2

275

py

Python

src/cms/views/imprint/__init__.py

mckinly/cms-django

c9995a3bfab6ee2d02f2406a7f83cf91b7ccfcca

[ "Apache-2.0" ]

14

2020-12-03T07:56:30.000Z

2021-10-30T13:09:50.000Z

integreat_cms/cms/views/imprint/__init__.py

Carlosbogo/integreat-cms

066f188b138e105e72f5420bc36d25709f25402d

[ "Apache-2.0" ]

367

2020-11-20T00:34:20.000Z

2021-12-14T15:20:42.000Z

src/cms/views/imprint/__init__.py

mckinly/cms-django

c9995a3bfab6ee2d02f2406a7f83cf91b7ccfcca

[ "Apache-2.0" ]

3

2021-02-09T18:46:52.000Z

2021-12-07T10:41:39.000Z

from .imprint_view import ImprintView from .imprint_revision_view import ImprintRevisionView from .imprint_sbs_view import ImprintSideBySideView from .imprint_actions import ( archive_imprint, restore_imprint, delete_imprint, expand_imprint_translation_id, )

27.5

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1

0

null

0

1

0

1

0

1

0

5

652ba9d1595d62f332bb590a43bbe19f5edcf426

141

py

Python

frappe/patches/v5_0/force_sync_website.py

khatrijitendra/lumalock-frappe

b3864278dad21dde5c53604be65aa56c79e5d909

[ "MIT" ]

null

frappe/patches/v5_0/force_sync_website.py

khatrijitendra/lumalock-frappe

b3864278dad21dde5c53604be65aa56c79e5d909

[ "MIT" ]

7

2020-03-24T17:07:47.000Z

2022-03-11T23:49:25.000Z

frappe/patches/v5_0/force_sync_website.py

khatrijitendra/lumalock-frappe

b3864278dad21dde5c53604be65aa56c79e5d909

[ "MIT" ]

5

2016-11-12T12:14:58.000Z

2018-03-21T15:45:45.000Z

from __future__ import unicode_literals import frappe from frappe.website import statics def execute(): statics.sync_statics(rebuild=True)

20.142857

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null

0

1

0

1

0

1

0

5

654698046ce027c68f0639cd8e4ef903e9bd8742

633

py

Python

open-test-data/rfc5118-sip-torture-test/mult-ip-in-header.dat.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

open-test-data/rfc5118-sip-torture-test/mult-ip-in-header.dat.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

open-test-data/rfc5118-sip-torture-test/mult-ip-in-header.dat.py

bobjects/BobStack

c177b286075044832f44baf9ace201780c8b4320

[ "Apache-2.0" ]

null

messageString = ( 'BYE sip:user@host.example.net SIP/2.0\r\n' 'Via: SIP/2.0/UDP [2001:db8::9:1]:6050;branch=z9hG4bKas3-111\r\n' 'Via: SIP/2.0/UDP 192.0.2.1;branch=z9hG4bKjhja8781hjuaij65144\r\n' 'Via: SIP/2.0/TCP [2001:db8::9:255];branch=z9hG4bK451jj;received=192.0.2.200\r\n' 'Call-ID: 997077@lau_4100\r\n' 'Max-Forwards: 70\r\n' 'CSeq: 89187 BYE\r\n' 'To: sip:user@example.net;tag=9817--94\r\n' 'From: sip:user@example.com;tag=81x2\r\n' 'Content-Length: 0\r\n' '\r\n' )

45.214286

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633

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0.07362

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0

0.230769

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1

null

0

1

0

5

e8e6ffcbf65df71aaf0d84345c6d55be7bdec6d9

100

py

Python

pyspeckit/cubes/__init__.py

glangsto/pyspeckit

346b24fb828d1d33c7891cdde7609723e51af34c

[ "MIT" ]

79

2015-03-03T15:06:20.000Z

2022-03-27T21:29:47.000Z

pyspeckit/cubes/__init__.py

glangsto/pyspeckit

346b24fb828d1d33c7891cdde7609723e51af34c

[ "MIT" ]

240

2015-01-04T02:59:12.000Z

2021-11-13T15:11:14.000Z

pyspeckit/cubes/__init__.py

glangsto/pyspeckit

346b24fb828d1d33c7891cdde7609723e51af34c

[ "MIT" ]

68

2015-03-02T12:23:12.000Z

2022-02-28T10:26:36.000Z

""" :Author: Adam Ginsburg <adam.g.ginsburg@gmail.com> """ from .SpectralCube import Cube,CubeStack

20

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0.74

13

100

5.692308

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0

0.1

100

4

51

25

0.822222

0.5

0

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0

true

0

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1

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1

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5

e8f4b2e7a7d20fa7aedf3c17532bf61312b3ab8e

57

py

Python

tests/assets/multipleroots/rootpackagegreen/two.py

ramiro/import-linter

afab73c8f60c284cd5dbe013c4c7de03c294cc6a

[ "BSD-2-Clause" ]

171

2019-04-03T20:22:11.000Z

2022-03-31T23:55:46.000Z

tests/assets/multipleroots/rootpackagegreen/two.py

ramiro/import-linter

afab73c8f60c284cd5dbe013c4c7de03c294cc6a

[ "BSD-2-Clause" ]

76

2019-02-16T11:28:00.000Z

2022-03-24T08:36:18.000Z

tests/assets/multipleroots/rootpackagegreen/two.py

ramiro/import-linter

afab73c8f60c284cd5dbe013c4c7de03c294cc6a

[ "BSD-2-Clause" ]

18

2019-05-17T11:45:37.000Z

2022-03-24T14:25:52.000Z

from rootpackageblue.one import alpha from . import one

14.25

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5

e8f9af2d536b8560a5f1f94feea08e8cce0e3b6a

919

py

Python

tests/test_1752.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_1752.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

tests/test_1752.py

sungho-joo/leetcode2github

ce7730ef40f6051df23681dd3c0e1e657abba620

[ "MIT" ]

null

#!/usr/bin/env python import pytest """ Test 1752. Check if Array Is Sorted and Rotated """ @pytest.fixture(scope="session") def init_variables_1752(): from src.leetcode_1752_check_if_array_is_sorted_and_rotated import Solution solution = Solution() def _init_variables_1752(): return solution yield _init_variables_1752 class TestClass1752: def test_solution_0(self, init_variables_1752): assert init_variables_1752().check([3, 4, 5, 1, 2]) def test_solution_1(self, init_variables_1752): assert not init_variables_1752().check([2, 1, 3, 4]) def test_solution_2(self, init_variables_1752): assert init_variables_1752().check([1, 2, 3]) def test_solution_3(self, init_variables_1752): assert init_variables_1752().check([1, 1, 1]) def test_solution_4(self, init_variables_1752): assert init_variables_1752().check([2, 1])

24.837838

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919

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null

0

1

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1

0

5

33111c1b907ac44a95d49e5335d05c8249b069a2

206

py

Python

utils/__init__.py

nassir90/ICNet-pytorch

af6eec01a4419ce43c52d295bc502c366478fbd7

[ "MIT" ]

83

2019-11-27T12:20:16.000Z

2022-03-30T08:34:50.000Z

utils/__init__.py

nassir90/ICNet-pytorch

af6eec01a4419ce43c52d295bc502c366478fbd7

[ "MIT" ]

18

2019-11-26T11:19:37.000Z

2022-03-30T13:06:51.000Z

utils/__init__.py

nassir90/ICNet-pytorch

af6eec01a4419ce43c52d295bc502c366478fbd7

[ "MIT" ]

24

2020-02-05T09:12:24.000Z

2022-03-04T20:47:32.000Z

"""Utility functions.""" from .loss import ICNetLoss from .lr_scheduler import IterationPolyLR from .metric import SegmentationMetric from .logger import SetupLogger from .visualize import get_color_pallete

34.333333

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34.333333

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1

0

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5

3329e191cd9e4f7b1884ef09a2d82cea7c9452c5

112

py

Python

airtable/table.py

jlouie95618/airtable-python

dafdbb2028bbf63a2a1c1daa3e8adf5db7d071bd

[ "MIT" ]

2

2015-09-20T13:43:05.000Z

2016-04-12T02:48:50.000Z

airtable/table.py

jlouie95618/airtable-python

dafdbb2028bbf63a2a1c1daa3e8adf5db7d071bd

[ "MIT" ]

null

airtable/table.py

jlouie95618/airtable-python

dafdbb2028bbf63a2a1c1daa3e8adf5db7d071bd

[ "MIT" ]

null

class Table(object): """docstring for Table""" def __init__(self, arg): self.arg = arg

18.666667

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112

4.384615

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0.321429

112

6

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18.666667

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0.333333

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null

1

0

1

0

null

0

1

0

1

0

5

6841eec785d9826bab06dd87213af813f4b42657

89

py

Python

TypeRX_server/lobby/admin.py

kamaljohnson/TypRX-GAME

f06cc6c8517b6bb462148f491a3792fa79e435cd

[ "MIT" ]

1

2022-01-15T07:28:37.000Z

TypeRX_server/lobby/admin.py

kamaljohnson/TReX-GAME

f06cc6c8517b6bb462148f491a3792fa79e435cd

[ "MIT" ]

9

2020-07-19T15:46:23.000Z

2022-02-27T00:00:16.000Z

backend/api/admin.py

Janjs/CountryFlagNameGame

7ce5d7752716cd10a084f59182a3d618479b37aa

[ "MIT" ]

null

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

17.8

32

0.820225

13

89

5.615385

0.692308

0

0.11236

89

4

33

22.25

0.924051

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true

0

0.666667

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0.666667

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null

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1

0

null

0

1

0

1

0

1

0

5

6873ce24717e5c2815ad0b10a2992424d9a09ff5

74

py

Python

modbusproxy_cpe_cb/__init__.py

Inmarsat/modbusproxy_cpe_cb

3070f3539b38b8dab63afa5ec2c8e2f4ea4935d6

[ "Apache-2.0" ]

null

modbusproxy_cpe_cb/__init__.py

Inmarsat/modbusproxy_cpe_cb

3070f3539b38b8dab63afa5ec2c8e2f4ea4935d6

[ "Apache-2.0" ]

null

modbusproxy_cpe_cb/__init__.py

Inmarsat/modbusproxy_cpe_cb

3070f3539b38b8dab63afa5ec2c8e2f4ea4935d6

[ "Apache-2.0" ]

null

import constants import context import store import modbus_server_adapter

14.8

28

0.891892

10

74

6.4

0.7

0

0.108108

74

4

29

18.5

0.969697

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true

0

1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

6876f027d9a46356daf30b9446731ca7ad7e29fb

93

py

Python

python/8Kyu/Grasshopper - Personalized Message.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/8Kyu/Grasshopper - Personalized Message.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/8Kyu/Grasshopper - Personalized Message.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

def greet(name, owner): return "Hello boss" if str(name) == str(owner) else "Hello guest"

46.5

69

0.677419

15

93

4.2

0.733333

0

0.172043

93

2

69

46.5

0.818182

0

0.223404

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1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

68a6373d0013ae0d1a78ad8082a5247281bfb611

140

py

Python

CA/__init__.py

Justin900429/computational_aesthetics

4a7b59b6de31c5f70f3536b5870de933b3b56101

[ "MIT" ]

1

2021-08-28T09:27:24.000Z

CA/__init__.py

Justin900429/computational_aesthetics

4a7b59b6de31c5f70f3536b5870de933b3b56101

[ "MIT" ]

null

CA/__init__.py

Justin900429/computational_aesthetics

4a7b59b6de31c5f70f3536b5870de933b3b56101

[ "MIT" ]

null

from .main import CA from .base import Base from .color import ImageColor from .composition import Composition from .texture import Texture

23.333333

36

0.821429

20

140

5.75

0.45

0

0.142857

140

5

37

28

0.958333

0

1

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true

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

68b23ef97e2a92ab17217e5fb407448fb93869af

55

py

Python

HELLO WORLD.py

dhruvvk2326/Google-code-in

b0a38be8baf1772e60289b25e4fd7ddf33a7feeb

[ "MIT" ]

null

HELLO WORLD.py

dhruvvk2326/Google-code-in

b0a38be8baf1772e60289b25e4fd7ddf33a7feeb

[ "MIT" ]

null

HELLO WORLD.py

dhruvvk2326/Google-code-in

b0a38be8baf1772e60289b25e4fd7ddf33a7feeb

[ "MIT" ]

null

print('HELLO WORLD') print("my cgi id is dhruvvk2326")

18.333333

33

0.727273

9

55

4.444444

0.888889

0

0.083333

0.127273

55

2

34

27.5

0.75

0

0.636364

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

68b679b4e5a909625b51be0102b249faa2af9e9c

176

py

Python

labelmodels/__init__.py

yongzx/labelmodels

78d27e2b5cc56ec167f6f485b811b93c8f5b2c26

[ "Apache-2.0" ]

12

2019-11-01T19:00:58.000Z

2022-01-18T20:53:53.000Z

labelmodels/__init__.py

yongzx/labelmodels

78d27e2b5cc56ec167f6f485b811b93c8f5b2c26

[ "Apache-2.0" ]

3

2021-06-09T01:22:05.000Z

2021-07-15T03:18:22.000Z

labelmodels/__init__.py

yongzx/labelmodels

78d27e2b5cc56ec167f6f485b811b93c8f5b2c26

[ "Apache-2.0" ]

1

2022-01-10T23:31:57.000Z

from .hmm import HMM from .label_model import LearningConfig from .linked_hmm import LinkedHMM from .naive_bayes import NaiveBayes from .partial_labels import PartialLabelModel

35.2

45

0.863636

24

176

6.166667

0.583333

0.121622

0

0.107955

176

5

45

35.2

0.942675

0

1

0

true

0

1

0

1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

d7b46114eea25240509d9fa18f489b2c4475c93b

58

py

Python

argvparser/__init__.py

Arthuchaut/ArgvParser

6dfde974d222c6023282da1ca90e828199196726

[ "MIT" ]

null

argvparser/__init__.py

Arthuchaut/ArgvParser

6dfde974d222c6023282da1ca90e828199196726

[ "MIT" ]

null

argvparser/__init__.py

Arthuchaut/ArgvParser

6dfde974d222c6023282da1ca90e828199196726

[ "MIT" ]

null

from argvparser.argvparser import ArgvParser as argvparser

58

0.896552

7

58

7.428571

0.571429

0

0.086207

58

1

58

0.981132

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

d7be98bfa057ea58f75f5bdc046c1217dbc62a46

239

py

Python

Exercise_2_4.py

kushrami/Python-Crash-Course-book-Excersice

7093181940a90d9f4bab5775ef56f57963450393

[ "Apache-2.0" ]

null

Exercise_2_4.py

kushrami/Python-Crash-Course-book-Excersice

7093181940a90d9f4bab5775ef56f57963450393

[ "Apache-2.0" ]

null

Exercise_2_4.py

kushrami/Python-Crash-Course-book-Excersice

7093181940a90d9f4bab5775ef56f57963450393

[ "Apache-2.0" ]

null

#Name Cases. Personal_Name = "joey Tribionny" print("Person's name in lower case: " + Personal_Name.lower()) print("Person's name in upper case: " + Personal_Name.upper()) print("Person's name in title case: " + Personal_Name.title())

26.555556

62

0.711297

36

239

4.611111

0.361111

0.289157

0.216867

0.289157

0.325301

0

0.142259

239

8

63

29.875

0.809756

0.046025

0

0.448889

0

1

0

false

0

0.75

0

null

1

0

1

0

null

0

1

0

5

d7ce5eb0a1217ef529269d0aeb877e42c6e340d0

440

py

Python

vkmodels/objects/prettyCards.py

deknowny/vk-api-py-models

6760c9395b39efd2a987251893b418a61eefbdca

[ "MIT" ]

null

vkmodels/objects/prettyCards.py

deknowny/vk-api-py-models

6760c9395b39efd2a987251893b418a61eefbdca

[ "MIT" ]

null

vkmodels/objects/prettyCards.py

deknowny/vk-api-py-models

6760c9395b39efd2a987251893b418a61eefbdca

[ "MIT" ]

null

import dataclasses import enum import typing from vkmodels.bases.object import ObjectBase @dataclasses.dataclass class PrettyCard( ObjectBase, ): card_id: str link_url: str photo: str title: str button: typing.Optional[str] = None button_text: typing.Optional[str] = None images: typing.Optional[typing.List[Image]] = None price: typing.Optional[str] = None price_old: typing.Optional[str] = None

20.952381

54

0.713636

56

440

5.535714

0.5

0.225806

0.219355

0.270968

0

0.195455

440

20

55

22

0.875706

0

1

0

true

0

0.235294

0

0.823529

0

null

1

0

null

0

1

0

1

0

5

cc2dba51dd582ded75653662f3b05b1546d61ec9

83

py

Python

aarin/config/__init__.py

DuTra01/aarin-pix-sdk

36510607049a60c942cbe73025470ca4e9b7cdcb

[ "MIT" ]

2

2021-07-15T17:53:35.000Z

2021-08-21T01:07:24.000Z

aarin/config/__init__.py

DuTra01/aarin-pix-sdk

36510607049a60c942cbe73025470ca4e9b7cdcb

[ "MIT" ]

null

aarin/config/__init__.py

DuTra01/aarin-pix-sdk

36510607049a60c942cbe73025470ca4e9b7cdcb

[ "MIT" ]

null

from .config import Config from .request_options import Token, Auth, RequestOptions

41.5

56

0.843373

11

83

6.272727

0.727273

0

0.108434

83

2

56

41.5

0.932432

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0be4d33001d8cc9758c5dc14a973e67197758d2a

107

py

Python

cloudfile/__init__.py

takotab/cloudfile

7b1af196619c0c7fdb1d3631e58d96fb3b947242

[ "MIT" ]

null

cloudfile/__init__.py

takotab/cloudfile

7b1af196619c0c7fdb1d3631e58d96fb3b947242

[ "MIT" ]

11

2019-06-11T12:54:41.000Z

2021-02-08T20:31:09.000Z

cloudfile/__init__.py

takotab/cloudfile

7b1af196619c0c7fdb1d3631e58d96fb3b947242

[ "MIT" ]

null

from .save import save from .restore import restore, restore_file, download from .add_file import add_file

26.75

52

0.82243

17

107

5

0.411765

0.164706

0

0.130841

107

3

53

35.666667

0.913978

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0bf6892a8f0e192d2a0c64558b78138ff46fa751

154

py

Python

SpotMoodBot/data_models/__init__.py

md2002/Spotify-MoodBot

62c745bd7dd551d64f7370412455050dce1f1ed6

[ "MIT" ]

null

SpotMoodBot/data_models/__init__.py

md2002/Spotify-MoodBot

62c745bd7dd551d64f7370412455050dce1f1ed6

[ "MIT" ]

null

SpotMoodBot/data_models/__init__.py

md2002/Spotify-MoodBot

62c745bd7dd551d64f7370412455050dce1f1ed6

[ "MIT" ]

null

from .conversation_flow import ConversationFlow, Question from .user_profile import UserProfile __all__ = ["ConversationFlow", "Question", "UserProfile"]

38.5

57

0.818182

15

154

8

0.666667

0.4

0

0.090909

154

4

58

38.5

0.857143

0

0.225806

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

040b97a48df9ecb4c84ec8913d5b59453dc990a7

26,964

py

Python

pyuvdata/uvbeam/tests/test_cst_beam.py

no-lex/pyuvdata

90537f78230d3d34f5db4d39a9f2a18373435437

[ "BSD-2-Clause" ]

null

pyuvdata/uvbeam/tests/test_cst_beam.py

no-lex/pyuvdata

90537f78230d3d34f5db4d39a9f2a18373435437

[ "BSD-2-Clause" ]

null

pyuvdata/uvbeam/tests/test_cst_beam.py

no-lex/pyuvdata

90537f78230d3d34f5db4d39a9f2a18373435437

[ "BSD-2-Clause" ]

null

# -*- mode: python; coding: utf-8 -*- # Copyright (c) 2018 Radio Astronomy Software Group # Licensed under the 2-clause BSD License import os import shutil import pytest import numpy as np from pyuvdata.data import DATA_PATH from pyuvdata import UVBeam from pyuvdata.uvbeam.cst_beam import CSTBeam import pyuvdata.tests as uvtest filenames = ["HERA_NicCST_150MHz.txt", "HERA_NicCST_123MHz.txt"] cst_folder = "NicCSTbeams" cst_files = [os.path.join(DATA_PATH, cst_folder, f) for f in filenames] cst_yaml_file = os.path.join(DATA_PATH, cst_folder, "NicCSTbeams.yaml") cst_yaml_vivaldi = os.path.join(DATA_PATH, cst_folder, "HERA_Vivaldi_CST_beams.yaml") def test_basic_frequencyparse(): beam1 = CSTBeam() parsed_freqs = [beam1.name2freq(f) for f in cst_files] assert parsed_freqs == [150e6, 123e6] def test_frequencyparse_extra_numbers(): beam1 = CSTBeam() test_path = os.path.join( "pyuvdata_1510194907049", "_t_env", "lib", "python2.7", "site-packages", "pyuvdata", "data", ) test_files = [os.path.join(test_path, f) for f in filenames] parsed_freqs = [beam1.name2freq(f) for f in test_files] assert parsed_freqs == [150e6, 123e6] def test_frequencyparse_nicf_path(): beam1 = CSTBeam() test_path = os.path.join( "Simulations", "Radiation_patterns", "E-field pattern-Rigging height4.9m", "HERA_4.9m_E-pattern_100-200MHz", ) test_files = [os.path.join(test_path, f) for f in filenames] parsed_freqs = [beam1.name2freq(f) for f in test_files] assert parsed_freqs == [150e6, 123e6] def test_frequencyparse_decimal_non_mhz(): beam1 = CSTBeam() test_path = os.path.join( "Simulations", "Radiation_patterns", "E-field pattern-Rigging height4.9m", "HERA_4.9m_E-pattern_100-200MHz", ) test_names = [ "HERA_Sim_120.87kHz.txt", "HERA_Sim_120.87GHz.txt", "HERA_Sim_120.87Hz.txt", ] test_files = [os.path.join(test_path, f) for f in test_names] parsed_freqs = [beam1.name2freq(f) for f in test_files] assert parsed_freqs == [120.87e3, 120.87e9, 120.87] def test_read_yaml(cst_efield_2freq): pytest.importorskip("yaml") beam1 = UVBeam() beam2 = UVBeam() extra_keywords = { "software": "CST 2016", "sim_type": "E-farfield", "layout": "1 antenna", "port_num": 1, } beam1 = cst_efield_2freq beam2.read_cst_beam(cst_yaml_file, beam_type="efield") assert beam1 == beam2 assert beam2.reference_impedance == 100 assert beam2.extra_keywords == extra_keywords def test_read_yaml_override(cst_efield_2freq): pytest.importorskip("yaml") beam1 = UVBeam() beam2 = UVBeam() extra_keywords = { "software": "CST 2016", "sim_type": "E-farfield", "layout": "1 antenna", "port_num": 1, } beam1 = cst_efield_2freq beam1.telescope_name = "test" with uvtest.check_warnings( UserWarning, match=( "The telescope_name keyword is set, overriding " "the value in the settings yaml file." ), ): beam2.read_cst_beam(cst_yaml_file, beam_type="efield", telescope_name="test"), assert beam1 == beam2 assert beam2.reference_impedance == 100 assert beam2.extra_keywords == extra_keywords def test_read_yaml_freq_select(cst_efield_1freq): pytest.importorskip("yaml") # test frequency_select beam1 = UVBeam() beam2 = UVBeam() beam1 = cst_efield_1freq beam2.read_cst_beam(cst_yaml_file, beam_type="efield", frequency_select=[150e6]) assert beam1 == beam2 # test error with using frequency_select where no such frequency freq = 180e6 with pytest.raises(ValueError, match=f"frequency {freq} not in frequency list"): beam2.read_cst_beam(cst_yaml_file, beam_type="power", frequency_select=[freq]) def test_read_yaml_feed_pol_list(cst_efield_2freq, cst_efield_1freq): pytest.importorskip("yaml") # make yaml with a list of (the same) feed_pols import yaml test_yaml_file = os.path.join(DATA_PATH, cst_folder, "test_cst_settings.yaml") with open(cst_yaml_file, "r") as file: settings_dict = yaml.safe_load(file) settings_dict["feed_pol"] = ["x", "x"] with open(test_yaml_file, "w") as outfile: yaml.dump(settings_dict, outfile, default_flow_style=False) beam1 = UVBeam() beam2 = UVBeam() extra_keywords = { "software": "CST 2016", "sim_type": "E-farfield", "layout": "1 antenna", "port_num": 1, } beam1 = cst_efield_2freq beam2.read_cst_beam(test_yaml_file, beam_type="efield") assert beam1 == beam2 assert beam2.reference_impedance == 100 assert beam2.extra_keywords == extra_keywords # also test with frequency_select beam1 = cst_efield_1freq beam2.read_cst_beam(test_yaml_file, beam_type="efield", frequency_select=[150e6]) assert beam1 == beam2 os.remove(test_yaml_file) def test_read_yaml_multi_pol(tmp_path): pytest.importorskip("yaml") # make yaml for one freq, 2 pols import yaml # copy the beam files to the tmp directory so that it can read them # when the yaml is stored there for fname in cst_files: shutil.copy2(src=fname, dst=tmp_path) test_yaml_file = str(tmp_path / "test_cst_settings.yaml") with open(cst_yaml_file, "r") as file: settings_dict = yaml.safe_load(file) settings_dict["feed_pol"] = ["x", "y"] first_file = settings_dict["filenames"][0] settings_dict["filenames"] = [first_file, first_file] first_freq = settings_dict["frequencies"][0] settings_dict["frequencies"] = [first_freq, first_freq] with open(test_yaml_file, "w") as outfile: yaml.dump(settings_dict, outfile, default_flow_style=False) beam1 = UVBeam() beam2 = UVBeam() extra_keywords = { "software": "CST 2016", "sim_type": "E-farfield", "layout": "1 antenna", "port_num": 1, } with uvtest.check_warnings( UserWarning, "No frequency provided. Detected frequency is", nwarnings=2, ): beam1.read_cst_beam( [cst_files[0], cst_files[0]], beam_type="efield", feed_pol=["x", "y"], telescope_name="HERA", feed_name="Dipole", feed_version="1.0", model_name="Dipole - Rigging height 4.9 m", model_version="1.0", x_orientation="east", reference_impedance=100, history="Derived from https://github.com/Nicolas-Fagnoni/Simulations." "\nOnly 2 files included to keep test data volume low.", extra_keywords=extra_keywords, ) beam2.read_cst_beam(test_yaml_file, beam_type="efield") assert beam1 == beam2 # also test with frequency_select beam2.read_cst_beam(test_yaml_file, beam_type="efield", frequency_select=[150e6]) assert beam2.feed_array.tolist() == ["x", "y"] assert beam1 == beam2 os.remove(test_yaml_file) def test_read_yaml_errors(tmp_path): pytest.importorskip("yaml") # test error if required key is not present in yaml file import yaml test_yaml_file = str(tmp_path / "test_cst_settings.yaml") with open(cst_yaml_file, "r") as file: settings_dict = yaml.safe_load(file) settings_dict.pop("telescope_name") with open(test_yaml_file, "w") as outfile: yaml.dump(settings_dict, outfile, default_flow_style=False) beam1 = UVBeam() with pytest.raises( ValueError, match=( "telescope_name is a required key in CST settings files but is " "not present." ), ): beam1.read_cst_beam(test_yaml_file, beam_type="power") os.remove(test_yaml_file) def test_read_power(cst_power_2freq): beam2 = UVBeam() beam1 = cst_power_2freq assert beam1.pixel_coordinate_system == "az_za" assert beam1.beam_type == "power" assert beam1.data_array.shape == (1, 1, 2, 2, 181, 360) assert np.max(beam1.data_array) == 8275.5409 assert np.allclose( beam1.data_array[:, :, 0, :, :, np.where(beam1.axis1_array == 0)[0]], beam1.data_array[:, :, 1, :, :, np.where(beam1.axis1_array == np.pi / 2.0)[0]], ) # test passing in other polarization beam2.read_cst_beam( np.array(cst_files), beam_type="power", frequency=np.array([150e6, 123e6]), feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) assert np.allclose(beam1.freq_array, beam2.freq_array) assert np.allclose(beam2.polarization_array, np.array([-6, -5])) assert np.allclose( beam1.data_array[:, :, 0, :, :, :], beam2.data_array[:, :, 0, :, :, :] ) def test_read_power_single_freq(cst_power_1freq): # test single frequency beam2 = UVBeam() beam1 = cst_power_1freq assert beam1.freq_array == [150e6] assert beam1.pixel_coordinate_system == "az_za" assert beam1.beam_type == "power" assert beam1.data_array.shape == (1, 1, 2, 1, 181, 360) # test single frequency and not rotating the polarization with uvtest.check_warnings( UserWarning, "No frequency provided. Detected frequency is" ): beam2.read_cst_beam( cst_files[0], beam_type="power", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", rotate_pol=False, ) assert beam2.freq_array == [150e6] assert beam2.pixel_coordinate_system == "az_za" assert beam2.beam_type == "power" assert beam2.polarization_array == np.array([-5]) assert beam2.data_array.shape == (1, 1, 1, 1, 181, 360) assert np.allclose(beam1.data_array[:, :, 0, :, :, :], beam2.data_array) def test_read_power_multi_pol(): # test reading in multiple polarization files beam1 = UVBeam() beam2 = UVBeam() beam1.read_cst_beam( [cst_files[0], cst_files[0]], beam_type="power", frequency=[150e6], feed_pol=np.array(["xx", "yy"]), telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) assert beam1.data_array.shape == (1, 1, 2, 1, 181, 360) assert np.allclose( beam1.data_array[:, :, 0, :, :, :], beam1.data_array[:, :, 1, :, :, :] ) # test reading in cross polarization files beam2.read_cst_beam( [cst_files[0]], beam_type="power", frequency=[150e6], feed_pol=np.array(["xy"]), telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) assert np.allclose(beam2.polarization_array, np.array([-7, -8])) assert beam2.data_array.shape == (1, 1, 2, 1, 181, 360) assert np.allclose( beam1.data_array[:, :, 0, :, :, :], beam2.data_array[:, :, 0, :, :, :] ) def test_read_errors(): # test errors beam1 = UVBeam() pytest.raises( ValueError, beam1.read_cst_beam, cst_files, beam_type="power", frequency=[150e6, 123e6, 100e6], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, cst_files[0], beam_type="power", frequency=[150e6, 123e6], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, [cst_files[0], cst_files[0], cst_files[0]], beam_type="power", feed_pol=["x", "y"], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, cst_files[0], beam_type="power", feed_pol=["x", "y"], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, [[cst_files[0]], [cst_files[1]]], beam_type="power", frequency=[150e6, 123e6], feed_pol=["x"], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, np.array([[cst_files[0]], [cst_files[1]]]), beam_type="power", frequency=[150e6, 123e6], feed_pol=["x"], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, cst_files, beam_type="power", frequency=[[150e6], [123e6]], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, cst_files, beam_type="power", frequency=np.array([[150e6], [123e6]]), telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, cst_files, beam_type="power", feed_pol=[["x"], ["y"]], frequency=150e6, telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) pytest.raises( ValueError, beam1.read_cst_beam, cst_files, beam_type="power", feed_pol=np.array([["x"], ["y"]]), frequency=150e6, telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) def test_read_efield(cst_efield_2freq): beam1 = cst_efield_2freq beam2 = UVBeam() assert beam1.pixel_coordinate_system == "az_za" assert beam1.beam_type == "efield" assert beam1.data_array.shape == (2, 1, 2, 2, 181, 360) assert np.max(np.abs(beam1.data_array)) == 90.97 # test passing in other polarization beam2.read_cst_beam( cst_files, beam_type="efield", frequency=[150e6, 123e6], feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) assert beam2.feed_array[0] == "y" assert beam2.feed_array[1] == "x" assert beam1.data_array.shape == (2, 1, 2, 2, 181, 360) assert np.allclose( beam1.data_array[:, :, 0, :, :, :], beam2.data_array[:, :, 0, :, :, :] ) # test single frequency and not rotating the polarization with uvtest.check_warnings( UserWarning, "No frequency provided. Detected frequency is" ): beam2.read_cst_beam( cst_files[0], beam_type="efield", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", rotate_pol=False, ) assert beam2.pixel_coordinate_system == "az_za" assert beam2.beam_type == "efield" assert beam2.feed_array == np.array(["x"]) assert beam2.data_array.shape == (2, 1, 1, 1, 181, 360) assert np.allclose( beam1.data_array[:, :, 0, 1, :, :], beam2.data_array[:, :, 0, 0, :, :] ) # test reading in multiple polarization files beam1.read_cst_beam( [cst_files[0], cst_files[0]], beam_type="efield", frequency=[150e6], feed_pol=["x", "y"], telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) assert beam1.data_array.shape == (2, 1, 2, 1, 181, 360) assert np.allclose( beam1.data_array[:, :, 0, :, :, :], beam1.data_array[:, :, 1, :, :, :] ) def test_no_deg_units(tmp_path): # need to write a modified file to test headers not in degrees testfile = str(tmp_path / "HERA_NicCST_150MHz_modified.txt") with open(cst_files[0], "r") as file: line1 = file.readline() line2 = file.readline() data = np.loadtxt(cst_files[0], skiprows=2) raw_names = line1.split("]") raw_names = [raw_name for raw_name in raw_names if "\n" not in raw_name] column_names = [] column_names_simple = [] units = [] for raw_name in raw_names: column_name, unit = tuple(raw_name.split("[")) column_names.append(column_name) column_names_simple.append("".join(column_name.lower().split(" "))) if unit != "deg.": units.append(unit) else: units.append(" ") new_column_headers = [] for index, name in enumerate(column_names): new_column_headers.append(name + "[" + units[index] + "]") new_header = "" for col in new_column_headers: new_header += "{:12}".format(col) beam1 = UVBeam() beam2 = UVBeam() # format to match existing file existing_format = [ "%8.3f", "%15.3f", "%20.3e", "%19.3e", "%19.3f", "%19.3e", "%19.3f", "%19.3e", ] np.savetxt( testfile, data, fmt=existing_format, header=new_header + "\n" + line2, comments="", ) # this errors because the phi 2pi rotation doesn't work # (because they are degrees but the code thinks they're radians) pytest.raises( ValueError, beam1.read_cst_beam, testfile, beam_type="efield", frequency=np.array([150e6]), feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) theta_col = np.where(np.array(column_names_simple) == "theta")[0][0] phi_col = np.where(np.array(column_names_simple) == "phi")[0][0] theta_phase_col = np.where(np.array(column_names_simple) == "phase(theta)")[0][0] phi_phase_col = np.where(np.array(column_names_simple) == "phase(phi)")[0][0] data[:, theta_col] = np.radians(data[:, theta_col]) data[:, phi_col] = np.radians(data[:, phi_col]) data[:, theta_phase_col] = np.radians(data[:, theta_phase_col]) data[:, phi_phase_col] = np.radians(data[:, phi_phase_col]) np.savetxt( testfile, data, fmt=existing_format, header=new_header + "\n" + line2, comments="", ) # this errors because theta isn't regularly gridded (too few sig figs) pytest.raises( ValueError, beam1.read_cst_beam, testfile, beam_type="efield", frequency=np.array([150e6]), feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) # use more decimal places for theta so that it is regularly gridded new_format = [ "%15.12e", "%15.3e", "%20.3e", "%19.3e", "%19.3f", "%19.3e", "%19.3f", "%19.3e", ] np.savetxt( testfile, data, fmt=new_format, header=new_header + "\n" + line2, comments="" ) # this errors because phi isn't regularly gridded (too few sig figs) pytest.raises( ValueError, beam1.read_cst_beam, testfile, beam_type="efield", frequency=np.array([150e6]), feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) # use more decimal places so that it is regularly gridded and matches data new_format = [ "%15.12e", "%15.12e", "%20.3e", "%19.3e", "%19.12f", "%19.3e", "%19.12f", "%19.3e", ] np.savetxt( testfile, data, fmt=new_format, header=new_header + "\n" + line2, comments="" ) with uvtest.check_warnings( UserWarning, "No frequency provided. Detected frequency is" ): beam1.read_cst_beam( cst_files[0], beam_type="efield", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) with uvtest.check_warnings( UserWarning, "No frequency provided. Detected frequency is" ): beam2.read_cst_beam( testfile, beam_type="efield", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) assert beam1 == beam2 # remove a row to make data not on a grid to catch that error data = data[1:, :] np.savetxt( testfile, data, fmt=new_format, header=new_header + "\n" + line2, comments="" ) # this errors because theta & phi aren't on a strict grid pytest.raises( ValueError, beam1.read_cst_beam, testfile, beam_type="efield", frequency=np.array([150e6]), feed_pol="y", telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) def test_wrong_column_names(tmp_path): # need to write modified files to test headers with wrong column names testfile = str(tmp_path / "HERA_NicCST_150MHz_modified.txt") with open(cst_files[0], "r") as file: line1 = file.readline() line2 = file.readline() data = np.loadtxt(cst_files[0], skiprows=2) raw_names = line1.split("]") raw_names = [raw_name for raw_name in raw_names if "\n" not in raw_name] column_names = [] missing_power_column_names = [] extra_power_column_names = [] column_names_simple = [] units = [] for raw_name in raw_names: column_name, unit = tuple(raw_name.split("[")) column_names.append(column_name) column_names_simple.append("".join(column_name.lower().split(" "))) units.append(unit) if column_name.strip() == "Abs(V )": missing_power_column_names.append("Power") else: missing_power_column_names.append(column_name) if column_name.strip() == "Abs(Theta)": extra_power_column_names.append("Abs(E )") else: extra_power_column_names.append(column_name) missing_power_column_headers = [] for index, name in enumerate(missing_power_column_names): missing_power_column_headers.append(name + "[" + units[index] + "]") extra_power_column_headers = [] for index, name in enumerate(extra_power_column_names): extra_power_column_headers.append(name + "[" + units[index] + "]") missing_power_header = "" for col in missing_power_column_headers: missing_power_header += "{:12}".format(col) beam1 = UVBeam() # format to match existing file existing_format = [ "%8.3f", "%15.3f", "%20.3e", "%19.3e", "%19.3f", "%19.3e", "%19.3f", "%19.3e", ] np.savetxt( testfile, data, fmt=existing_format, header=missing_power_header + "\n" + line2, comments="", ) # this errors because there's no recognized power column pytest.raises( ValueError, beam1.read_cst_beam, testfile, beam_type="power", frequency=np.array([150e6]), telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) extra_power_header = "" for col in extra_power_column_headers: extra_power_header += "{:12}".format(col) np.savetxt( testfile, data, fmt=existing_format, header=extra_power_header + "\n" + line2, comments="", ) # this errors because there's multiple recognized power columns pytest.raises( ValueError, beam1.read_cst_beam, testfile, beam_type="power", frequency=np.array([150e6]), telescope_name="TEST", feed_name="bob", feed_version="0.1", model_name="E-field pattern - Rigging height 4.9m", model_version="1.0", ) def test_hera_yaml(): pytest.importorskip("yaml") beam1 = UVBeam() beam2 = UVBeam() beam1.read_cst_beam(cst_yaml_vivaldi, beam_type="efield", frequency_select=[150e6]) assert beam1.reference_impedance == 100 extra_keywords = { "software": "CST 2016", "sim_type": "E-farfield", "layout": "1 antenna", "port_num": 1, } assert beam1.extra_keywords == extra_keywords beam2.read_cst_beam(cst_yaml_vivaldi, beam_type="power", frequency_select=[150e6]) beam1.efield_to_power(calc_cross_pols=False) # The values in the beam file only have 4 sig figs, so they don't match precisely diff = np.abs(beam1.data_array - beam2.data_array) assert np.max(diff) < 2 reldiff = diff / beam2.data_array assert np.max(reldiff) < 0.002 # set data_array tolerances higher to test the rest of the object # tols are (relative, absolute) tols = [0.002, 0] beam1._data_array.tols = tols assert beam1.history != beam2.history beam1.history = beam2.history assert beam1 == beam2

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Python

Lab_2/special_sum.py

drozdms/PythonProjects

b199516fad70710f2deb432e48704ccfbe051029

[ "MIT" ]

null

Lab_2/special_sum.py

drozdms/PythonProjects

b199516fad70710f2deb432e48704ccfbe051029

[ "MIT" ]

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Lab_2/special_sum.py

drozdms/PythonProjects

b199516fad70710f2deb432e48704ccfbe051029

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1

2015-01-06T11:10:24.000Z

stan/proc_functions/merge.py

chappers/Stan

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stan/proc_functions/merge.py

chappers/Stan

61c189ab12ea50214390804cff5694ac51f8df35

[ "MIT" ]

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tests/helpers/test_reports_helpers.py

sanger/lighthouse

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[ "MIT" ]

1

2021-11-14T19:57:03.000Z

tests/helpers/test_reports_helpers.py

sanger/lighthouse

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[ "MIT" ]

496

2020-04-23T07:45:53.000Z

2022-03-31T14:33:01.000Z

tests/helpers/test_reports_helpers.py

sanger/lighthouse

ded48ed20829301f7a131e5711532ee237982050

[ "MIT" ]

3

2020-11-01T23:41:08.000Z

2021-02-23T16:09:40.000Z

import os from datetime import datetime, timedelta from shutil import copy from unittest.mock import Mock, patch import numpy as np import pandas as pd from lighthouse.constants.fields import ( FIELD_COORDINATE, FIELD_PLATE_BARCODE, FIELD_RESULT, FIELD_ROOT_SAMPLE_ID, FIELD_SOURCE, ) from lighthouse.helpers.reports import ( add_cherrypicked_column, delete_reports, get_cherrypicked_samples, get_distinct_plate_barcodes, get_fit_to_pick_samples, get_new_report_name_and_path, report_query_window_start, unpad_coordinate, ) # ----- get_new_report_name_and_path tests ----- def test_get_new_report_name_and_path(app, freezer): report_date = datetime.now().strftime("%y%m%d_%H%M") with app.app_context(): report_name, _ = get_new_report_name_and_path() assert report_name == f"{report_date}_fit_to_pick_with_locations.xlsx" # ----- unpad_coordinate tests ----- def test_unpad_coordinate_A01(): assert unpad_coordinate("A01") == "A1" def test_unpad_coordinate_A1(): assert unpad_coordinate("A1") == "A1" def test_unpad_coordinate_A10(): assert unpad_coordinate("A10") == "A10" def test_unpad_coordinate_B01010(): assert unpad_coordinate("B01010") == "B1010" # ----- delete_reports tests ----- def test_delete_reports(app): copies_of_reports_folder = "tests/data/reports_copies" filenames = [ "200716_1345_positives_with_locations.xlsx", "200716_1618_positives_with_locations.xlsx", "200716_1640_positives_with_locations.xlsx", "200716_1641_fit_to_pick_with_locations.xlsx", "200716_1642_fit_to_pick_with_locations.xlsx", ] for filename in filenames: copy(f"{copies_of_reports_folder}/{filename}", f"{app.config['REPORTS_DIR']}/{filename}") with app.app_context(): delete_reports(filenames) for filename in filenames: assert os.path.isfile(f"{app.config['REPORTS_DIR']}/{filename}") is False # ----- get_cherrypicked_samples tests ----- def test_get_cherrypicked_samples_test_db_connection_close(app): """ Test Scenario - Check that connection is close when we call get_cherrypicked_samples """ samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine") as mock_sql_engine: mock_db_connection = Mock() mock_sql_engine().connect.return_value = mock_db_connection get_cherrypicked_samples(samples, plate_barcodes) mock_db_connection.close.assert_called_once() def test_get_cherrypicked_samples_test_db_connection_close_on_exception(app): """ Test Scenario - Check that connection is close when we call get_cherrypicked_samples """ samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine") as mock_sql_engine: with patch( "pandas.read_sql", side_effect=Exception("Boom!"), ): mock_db_connection = Mock() mock_sql_engine().connect.return_value = mock_db_connection get_cherrypicked_samples(samples, plate_barcodes) mock_db_connection.close.assert_called_once() # Test Scenario # - Mocking database responses # - Only the Sentinel query returns matches (No Beckman) # - No chunking: a single query is made in which all matches are returned # - No duplication of returned matches def test_get_cherrypicked_samples_no_beckman(app): expected = [ pd.DataFrame( ["MCM001", "MCM003", "MCM005"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2] ), # Cherrypicking query response ] samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "pandas.read_sql", side_effect=expected, ): returned_samples = get_cherrypicked_samples(samples, plate_barcodes) assert returned_samples.at[0, FIELD_ROOT_SAMPLE_ID] == "MCM001" assert returned_samples.at[1, FIELD_ROOT_SAMPLE_ID] == "MCM003" assert returned_samples.at[2, FIELD_ROOT_SAMPLE_ID] == "MCM005" # Test Scenario # - Mocking database responses # - Only the Sentinel queries return matches (No Beckman) # - Chunking: multiple queries are made, with all matches contained in the sum of these queries # - No duplication of returned matches def test_get_cherrypicked_samples_chunking_no_beckman(app): # Note: This represents the results of three different (Sentinel, Beckman) sets of # database queries, each Sentinel query getting indexed from 0. Do not change the # indices here unless you have modified the behaviour of the query. query_results = [ pd.DataFrame(["MCM001"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0]), # Cherrypicking query resp. pd.DataFrame(["MCM003"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0]), # Cherrypicking query resp. pd.DataFrame(["MCM005"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0]), # Cherrypicking query resp. ] expected = pd.DataFrame(["MCM001", "MCM003", "MCM005"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2]) samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "pandas.read_sql", side_effect=query_results, ): returned_samples = get_cherrypicked_samples(samples, plate_barcodes, 2) pd.testing.assert_frame_equal(expected, returned_samples) # Test Scenario # - Actual database responses # - Only the Sentinel queries return matches (No Beckman) # - Chunking: multiple queries are made, with all matches contained in the sum of these queries # - Duplication of returned matches across different chunks: duplicates should be filtered out def test_get_cherrypicked_samples_repeat_tests_no_beckman(app, mlwh_sentinel_cherrypicked, event_wh_data): # the following come from MLWH_SAMPLE_STOCK_RESOURCE in fixture_data root_sample_ids = ["root_1", "root_2", "root_1"] plate_barcodes = ["pb_1", "pb_2", "pb_3"] # root_1 will match 2 samples, but only one of those will match an event (on Sanger Sample Id) # therefore we only get 1 of the samples called 'root_1' back (the one on plate 'pb_1') # this also checks we don't get a duplicate row for root_1 / pb_1, despite it cropped up in 2 # different 'chunks' expected_rows = [["root_1", "pb_1", "positive", "A1"], ["root_2", "pb_2", "positive", "A1"]] expected_columns = [FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Result_lower", FIELD_COORDINATE] expected = pd.DataFrame(np.array(expected_rows), columns=expected_columns, index=[0, 1]) with app.app_context(): chunk_size = 2 returned_samples = get_cherrypicked_samples(root_sample_ids, plate_barcodes, chunk_size) print(returned_samples) pd.testing.assert_frame_equal(expected, returned_samples) # Test Scenario # - Mocking database responses # - Only the Beckman query returns matches (No Sentinel) # - No chunking: a single query is made in which all matches are returned # - No duplication of returned matches def test_get_cherrypicked_samples_no_sentinel(app): expected = [ pd.DataFrame( ["MCM001", "MCM003", "MCM005"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2] ), # Cherrypicking query response ] samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "pandas.read_sql", side_effect=expected, ): returned_samples = get_cherrypicked_samples(samples, plate_barcodes) assert returned_samples.at[0, FIELD_ROOT_SAMPLE_ID] == "MCM001" assert returned_samples.at[1, FIELD_ROOT_SAMPLE_ID] == "MCM003" assert returned_samples.at[2, FIELD_ROOT_SAMPLE_ID] == "MCM005" # Test Scenario # - Mocking database responses # - Only the Beckman queries return matches (No Sentinel) # - Chunking: multiple queries are made, with all matches contained in the sum of these queries # - No duplication of returned matches def test_get_cherrypicked_samples_chunking_no_sentinel(app): # Note: This represents the results of three different (Sentinel, Beckman) sets of # database queries, each Sentinel query getting indexed from 0. Do not change the # indices here unless you have modified the behaviour of the query. query_results = [ pd.DataFrame(["MCM001"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0]), # Cherrypicking query resp. pd.DataFrame(["MCM003"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0]), # Cherrypicking query resp. pd.DataFrame(["MCM005"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0]), # Cherrypicking query resp. ] expected = pd.DataFrame(["MCM001", "MCM003", "MCM005"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2]) samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "pandas.read_sql", side_effect=query_results, ): returned_samples = get_cherrypicked_samples(samples, plate_barcodes, 2) pd.testing.assert_frame_equal(expected, returned_samples) # Test Scenario # - Actual database responses # - Only the Beckman queries return matches (No Sentinel) # - Chunking: multiple queries are made, with all matches contained in the sum of these queries # - Duplication of returned matches across different chunks: duplicates should be filtered out def test_get_cherrypicked_samples_repeat_tests_no_sentinel(app, mlwh_beckman_cherrypicked, event_wh_data): # the following come from MLWH_SAMPLE_LIGHTHOUSE_SAMPLE in fixture_data root_sample_ids = ["root_4", "root_5", "root_4"] plate_barcodes = ["pb_4", "pb_5", "pb_6"] # root_4 will match 2 samples, but only one of those will match an event (on sample uuid) # therefore we only get 1 of the samples called 'root_4' back (the one on plate 'pb_4') # this also checks we don't get a duplicate row for root_4 / pb_4, despite it cropped up in 2 # different 'chunks' expected_rows = [["root_4", "pb_4", "positive", "A1"], ["root_5", "pb_5", "positive", "A1"]] expected_columns = [FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Result_lower", FIELD_COORDINATE] expected = pd.DataFrame(np.array(expected_rows), columns=expected_columns, index=[0, 1]) with app.app_context(): chunk_size = 2 returned_samples = get_cherrypicked_samples(root_sample_ids, plate_barcodes, chunk_size) # The view could be returning the rows in a different order, which we solve by sorting and # reindexing the rows for returned_samples, so we can compare with our expected frame resorted_returned_samples = returned_samples.sort_values(by=FIELD_ROOT_SAMPLE_ID, ignore_index=True) pd.testing.assert_frame_equal(expected, resorted_returned_samples) # Test Scenario # - Mocking database responses # - Both Sentinel and Beckman queries return matches # - No chunking: a single query is made (per workflow) in which all matches are returned # - Duplication of returned matches across different workflows: duplicates should be filtered out def test_get_cherrypicked_samples_sentinel_and_beckman(app): expected = [ pd.DataFrame( [ # Sentinel "MCM001", "MCM006", # Beckman "MCM001", "MCM003", "MCM005", ], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2, 3, 4], ), # Cherrypicking query response ] samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005", "MCM006"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "pandas.read_sql", side_effect=expected, ): returned_samples = get_cherrypicked_samples(samples, plate_barcodes) assert returned_samples.at[0, FIELD_ROOT_SAMPLE_ID] == "MCM001" assert returned_samples.at[1, FIELD_ROOT_SAMPLE_ID] == "MCM006" assert returned_samples.at[2, FIELD_ROOT_SAMPLE_ID] == "MCM003" assert returned_samples.at[3, FIELD_ROOT_SAMPLE_ID] == "MCM005" # Test Scenario # - Mocking database responses # - Both Sentinel and Beckman queries return matches # - Chunking: multiple queries are made (per workflow), with all matches contained in the sum # - Duplication of returned matches across different workflows: duplicates should be filtered out def test_get_cherrypicked_samples_chunking_sentinel_and_beckman(app): # Note: This represents the results of three different (Sentinel, Beckman) sets of # database queries, each query getting indexed from 0. Do not changes the # indicies here unless you have modified the behaviour of the query. query_results = [ pd.DataFrame( [ # Sentinel "MCM001", # Beckman "MCM001", "MCM002", ], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2], ), # Cherrypicking info pd.DataFrame( [ # Sentinel "MCM003", # Beckman "MCM003", "MCM004", ], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2], ), # Cherrypicking info pd.DataFrame( [ # Sentinel "MCM005", # Beckman "MCM005", "MCM006", ], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2], ), # Cherrypicking info ] expected = pd.DataFrame( ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005", "MCM006"], columns=[FIELD_ROOT_SAMPLE_ID], index=[0, 1, 2, 3, 4, 5], ) samples = ["MCM001", "MCM002", "MCM003", "MCM004", "MCM005"] plate_barcodes = ["123", "456"] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "pandas.read_sql", side_effect=query_results, ): returned_samples = get_cherrypicked_samples(samples, plate_barcodes, 2) pd.testing.assert_frame_equal(expected, returned_samples) # Test Scenario # - Actual database responses # - Both Sentinel and Beckman queries return matches # - Chunking: multiple queries are made, with all matches contained in the sum of these queries # - Duplication of returned matches across different chunks: duplicates should be filtered out def test_get_cherrypicked_samples_repeat_tests_sentinel_and_beckman( app, freezer, mlwh_sentinel_and_beckman_cherrypicked, event_wh_data ): # the following come from MLWH_SAMPLE_STOCK_RESOURCE and # MLWH_SAMPLE_LIGHTHOUSE_SAMPLE in fixture_data root_sample_ids = ["root_1", "root_2", "root_3", "root_4", "root_5", "root_1"] plate_barcodes = ["pb_1", "pb_2", "pb_3", "pb_4", "pb_5", "pb_6"] # root_1 will match 2 samples, but only one of those will match a Sentinel event (on pb_1) # root_2 will match a single sample with a matching Sentinel event (on pb_2) # root_3 will match 2 samples, but not match either a Sentinel or Beckman event # root_4 will match 2 samples, but only one of those will match a Beckman event (on pb_4) # root_5 will match a single sample with a matching Beckman event (on pb_5) # We also chunk to further test different scenarios expected_rows = [ ["root_1", "pb_1", "positive", "A1"], ["root_2", "pb_2", "positive", "A1"], ["root_4", "pb_4", "positive", "A1"], ["root_5", "pb_5", "positive", "A1"], ] expected_columns = [FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Result_lower", FIELD_COORDINATE] expected = pd.DataFrame(np.array(expected_rows), columns=expected_columns, index=[0, 1, 2, 3]) with app.app_context(): chunk_size = 2 returned_samples = get_cherrypicked_samples(root_sample_ids, plate_barcodes, chunk_size) pd.testing.assert_frame_equal(expected, returned_samples) # ----- get_all_positive_samples tests ----- def test_get_fit_to_pick_samples(app, freezer, samples, priority_samples): with app.app_context(): samples_collection = app.data.driver.db.samples fit_to_pick_samples = get_fit_to_pick_samples(samples_collection) assert len(fit_to_pick_samples) == 7 assert fit_to_pick_samples.at[0, FIELD_ROOT_SAMPLE_ID] == "sample_001" assert fit_to_pick_samples.at[0, FIELD_RESULT] == "Positive" assert fit_to_pick_samples.at[0, FIELD_SOURCE] == "centre_1" assert fit_to_pick_samples.at[0, FIELD_PLATE_BARCODE] == "plate_123" assert fit_to_pick_samples.at[0, FIELD_COORDINATE] == "A1" assert fit_to_pick_samples.at[0, "plate and well"] == "plate_123:A1" assert fit_to_pick_samples.at[1, FIELD_ROOT_SAMPLE_ID] == "sample_002" assert fit_to_pick_samples.at[2, FIELD_ROOT_SAMPLE_ID] == "sample_101" # ----- add_cherrypicked_column tests ----- def test_add_cherrypicked_column(app): # existing dataframe before 'add_cherrypicked_column' is run (essentially queried from MongoDB) existing_dataframe = pd.DataFrame( [ ["MCM001", "123", "TEST", "Positive", "A1"], ["MCM001", "456", "TEST", "Positive", "A1"], # plate barcode differs from first sample ["MCM001", "123", "TEST", "Positive2", "A1"], # result differs from first sample ["MCM001", "123", "TEST", "Positive", "A2"], # coordinate differs from first sample ["MCM002", "123", "TEST", "Positive", "A1"], # root sample id differs from first sample ], columns=[ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Lab ID", FIELD_RESULT, FIELD_COORDINATE, ], ) # mock response from the 'get_cherrypicked_samples' method mock_get_cherrypicked_samples_rows = [ ["MCM001", "123", "positive", "A1"], # matches first sample only ["MCM002", "123", "positive", "A1"], # matches final sample only ] mock_get_cherrypicked_samples_columns = [ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Result_lower", FIELD_COORDINATE, ] mock_get_cherrypicked_samples = pd.DataFrame( np.array(mock_get_cherrypicked_samples_rows), columns=mock_get_cherrypicked_samples_columns ) # output from 'add_cherrypicked_column' - after merging existing_dataframe with response from # 'get_cherrypicked_samples' expected_columns = [ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Lab ID", FIELD_RESULT, FIELD_COORDINATE, "LIMS submission", ] # rows with "Yes" are because was returned from get_cherrypicked_samples expected_data = [ [ "MCM001", "123", "TEST", "Positive", "A1", "Yes", ], ["MCM001", "456", "TEST", "Positive", "A1", "No"], ["MCM001", "123", "TEST", "Positive2", "A1", "No"], ["MCM001", "123", "TEST", "Positive", "A2", "No"], [ "MCM002", "123", "TEST", "Positive", "A1", "Yes", ], ] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "lighthouse.helpers.reports.get_cherrypicked_samples", return_value=mock_get_cherrypicked_samples, ): new_dataframe = add_cherrypicked_column(existing_dataframe) assert new_dataframe.columns.to_list() == expected_columns assert np.array_equal(new_dataframe.to_numpy(), expected_data) def test_add_cherrypicked_column_duplicates(app): # Demonstrates the behaviour where, if 'get_cherrypicked_samples' returns duplicates, # 'add_cherrypicked_column' will also return duplicates. # De-duping should be handled in 'get_cherrypicked_samples'. # existing dataframe before 'add_cherrypicked_column' is run (essentially queried from MongoDB) existing_dataframe = pd.DataFrame( [["MCM001", "123", "TEST", "Positive", "A1"], ["MCM002", "456", "TEST", "Positive", "A2"]], columns=[ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Lab ID", FIELD_RESULT, FIELD_COORDINATE, ], ) # mock response from the 'get_cherrypicked_samples' method mock_get_cherrypicked_samples_rows = [ ["MCM002", "456", "positive", "A2"], # matches second sample ["MCM002", "456", "positive", "A2"], # identical to above ] mock_get_cherrypicked_samples_columns = [ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Result_lower", FIELD_COORDINATE, ] mock_get_cherrypicked_samples = pd.DataFrame( np.array(mock_get_cherrypicked_samples_rows), columns=mock_get_cherrypicked_samples_columns ) # output from 'add_cherrypicked_column' - after merging existing_dataframe with response from # 'get_cherrypicked_samples' expected_columns = [ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Lab ID", FIELD_RESULT, FIELD_COORDINATE, "LIMS submission", ] # Duplicates reflect response from get_cherrypicked_samples expected_data = [ ["MCM001", "123", "TEST", "Positive", "A1", "No"], ["MCM002", "456", "TEST", "Positive", "A2", "Yes"], [ "MCM002", "456", "TEST", "Positive", "A2", "Yes", ], ] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "lighthouse.helpers.reports.get_cherrypicked_samples", return_value=mock_get_cherrypicked_samples, ): new_dataframe = add_cherrypicked_column(existing_dataframe) assert new_dataframe.columns.to_list() == expected_columns assert np.array_equal(new_dataframe.to_numpy(), expected_data) def test_add_cherrypicked_column_no_rows(app): # mocks response from get_cherrypicked_samples() existing_dataframe = pd.DataFrame( [ ["MCM001", "123", "TEST", "Positive", "A1"], ["MCM002", "123", "TEST", "Positive", "A1"], ], columns=[ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Lab ID", FIELD_RESULT, FIELD_COORDINATE, ], ) # Not sure if this is an accurate mock - haven't tried it with a real db connection mock_get_cherrypicked_samples = pd.DataFrame( [], columns=[FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Result_lower", FIELD_COORDINATE] ) expected_columns = [ FIELD_ROOT_SAMPLE_ID, FIELD_PLATE_BARCODE, "Lab ID", FIELD_RESULT, FIELD_COORDINATE, "LIMS submission", ] expected_data = [ ["MCM001", "123", "TEST", "Positive", "A1", "No"], ["MCM002", "123", "TEST", "Positive", "A1", "No"], ] with app.app_context(): with patch("sqlalchemy.create_engine", return_value=Mock()): with patch( "lighthouse.helpers.reports.get_cherrypicked_samples", return_value=mock_get_cherrypicked_samples, ): new_dataframe = add_cherrypicked_column(existing_dataframe) assert new_dataframe.columns.to_list() == expected_columns assert np.array_equal(new_dataframe.to_numpy(), expected_data) # ----- get_distinct_plate_barcodes tests ----- def test_get_distinct_plate_barcodes(app, samples): with app.app_context(): samples = app.data.driver.db.samples assert get_distinct_plate_barcodes(samples)[0] == "plate_123" def test_report_query_window_start(app): with app.app_context(): window_size = app.config["REPORT_WINDOW_SIZE"] start = datetime.now() + timedelta(days=-window_size) assert report_query_window_start().year == start.year assert report_query_window_start().month == start.month assert report_query_window_start().day == start.day assert report_query_window_start().hour == 0 assert report_query_window_start().minute == 0 assert report_query_window_start().second == 0

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9bcd11cac34e1e847415e828a577df1b6fbae019

555

py

Python

src/pvt_model/scripts/__init__.py

BenWinchester/PVTModel

6bf3976b06f406f632e0a9e525cd8b05359da239

[ "MIT" ]

1

2021-05-11T14:15:11.000Z

src/pvt_model/scripts/__init__.py

BenWinchester/PVTModel

6bf3976b06f406f632e0a9e525cd8b05359da239

[ "MIT" ]

14

2021-02-23T11:53:08.000Z

2021-11-16T10:45:31.000Z

src/pvt_model/scripts/__init__.py

BenWinchester/PVTModel

6bf3976b06f406f632e0a9e525cd8b05359da239

[ "MIT" ]

null

#!/usr/bin/python3.7 ######################################################################################## # __init__.py - The init module for this PVT model's scripts folder. # # # # Author: Ben Winchester # # Copyright: Ben Winchester, 2021 # ########################################################################################

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75

py

Python

HackerRank/Sets/SetsAdd.py

OAPJ/Python

2fdf9c161f962cd912f2393ff72aed823b4241cb

[ "Apache-2.0" ]

null

HackerRank/Sets/SetsAdd.py

OAPJ/Python

2fdf9c161f962cd912f2393ff72aed823b4241cb

[ "Apache-2.0" ]

null

HackerRank/Sets/SetsAdd.py

OAPJ/Python

2fdf9c161f962cd912f2393ff72aed823b4241cb

[ "Apache-2.0" ]

null

print (len(set([ input().strip() for _ in range(int(input().strip())) ])))

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py

Python

staticpy/lib/__init__.py

SnowWalkerJ/StaticPy

818b7f009af7a6040313791993f543779781dddf

[ "BSD-3-Clause" ]

13

2019-10-14T19:22:11.000Z

2021-08-23T08:39:06.000Z

staticpy/lib/__init__.py

SnowWalkerJ/StaticPy

818b7f009af7a6040313791993f543779781dddf

[ "BSD-3-Clause" ]

5

2019-09-30T07:42:18.000Z

2020-01-01T15:07:00.000Z

staticpy/lib/__init__.py

SnowWalkerJ/StaticPy

818b7f009af7a6040313791993f543779781dddf

[ "BSD-3-Clause" ]

null

from .iostream import cprint, cin, cout, cerr, endl from .cmath import * from . import cmath, iostream

20.8

51

0.740385

15

104

5.133333

0.6

0

0.173077

104

4

52

26

0.895349

0

1

0

true

0

1

0

1

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

50149884ea0b8a3f27270ef8aa6d5ce4a6edbcda

144

py

Python

run_test_random.py

idrissbado/mxdevtool-python

38e2d467027b2dbf37dddabbf4f202ea73bbcfa3

[ "MIT" ]

12

2021-01-15T00:46:48.000Z

2022-02-18T04:37:42.000Z

run_test_random.py

idrissbado/mxdevtool-python

38e2d467027b2dbf37dddabbf4f202ea73bbcfa3

[ "MIT" ]

5

2021-01-15T13:26:36.000Z

2021-08-18T09:56:51.000Z

run_test_random.py

idrissbado/mxdevtool-python

38e2d467027b2dbf37dddabbf4f202ea73bbcfa3

[ "MIT" ]

7

2020-07-17T05:15:20.000Z

2021-07-26T07:48:02.000Z

import randomseq.PseudoRandom as pseudo import randomseq.SobolRandom as sobol if __name__ == "__main__": pseudo.test() sobol.test()

14.4

39

0.729167

17

144

5.705882

0.647059

0.309278

0

0.180556

144

9

40

16

0.822034

0

0.056738

0

1

0

true

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

ac97f31e2428e98a657afabd0352fa36c0e59a8a

29,264

py

Python

nova/tests/unit/api/openstack/compute/test_availability_zone.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/api/openstack/compute/test_availability_zone.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/api/openstack/compute/test_availability_zone.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

begin_unit comment|'# Copyright 2012 IBM Corp.' nl|'\n' comment|'#' nl|'\n' comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' nl|'\n' name|'import' name|'datetime' newline|'\n' name|'import' name|'iso8601' newline|'\n' nl|'\n' name|'from' name|'nova' op|'.' name|'api' op|'.' name|'openstack' op|'.' name|'compute' name|'import' name|'availability_zone' name|'as' name|'az_v21' newline|'\n' name|'from' name|'nova' op|'.' name|'api' op|'.' name|'openstack' op|'.' name|'compute' name|'import' name|'extension_info' newline|'\n' name|'from' name|'nova' op|'.' name|'api' op|'.' name|'openstack' op|'.' name|'compute' name|'import' name|'servers' name|'as' name|'servers_v21' newline|'\n' name|'from' name|'nova' name|'import' name|'availability_zones' newline|'\n' name|'from' name|'nova' op|'.' name|'compute' name|'import' name|'api' name|'as' name|'compute_api' newline|'\n' name|'from' name|'nova' op|'.' name|'compute' name|'import' name|'flavors' newline|'\n' name|'from' name|'nova' name|'import' name|'context' newline|'\n' name|'from' name|'nova' name|'import' name|'db' newline|'\n' name|'from' name|'nova' name|'import' name|'exception' newline|'\n' name|'from' name|'nova' name|'import' name|'servicegroup' newline|'\n' name|'from' name|'nova' name|'import' name|'test' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' op|'.' name|'api' op|'.' name|'openstack' name|'import' name|'fakes' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' name|'import' name|'fake_instance' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' op|'.' name|'image' name|'import' name|'fake' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' name|'import' name|'matchers' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' op|'.' name|'objects' name|'import' name|'test_service' newline|'\n' name|'from' name|'oslo_config' name|'import' name|'cfg' newline|'\n' nl|'\n' DECL|variable|FAKE_UUID name|'FAKE_UUID' op|'=' name|'fakes' op|'.' name|'FAKE_UUID' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_service_get_all name|'def' name|'fake_service_get_all' op|'(' name|'context' op|',' name|'disabled' op|'=' name|'None' op|')' op|':' newline|'\n' DECL|function|__fake_service indent|' ' name|'def' name|'__fake_service' op|'(' name|'binary' op|',' name|'availability_zone' op|',' nl|'\n' name|'created_at' op|',' name|'updated_at' op|',' name|'host' op|',' name|'disabled' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'dict' op|'(' name|'test_service' op|'.' name|'fake_service' op|',' nl|'\n' name|'binary' op|'=' name|'binary' op|',' nl|'\n' name|'availability_zone' op|'=' name|'availability_zone' op|',' nl|'\n' name|'available_zones' op|'=' name|'availability_zone' op|',' nl|'\n' name|'created_at' op|'=' name|'created_at' op|',' nl|'\n' name|'updated_at' op|'=' name|'updated_at' op|',' nl|'\n' name|'host' op|'=' name|'host' op|',' nl|'\n' name|'disabled' op|'=' name|'disabled' op|')' newline|'\n' nl|'\n' dedent|'' name|'if' name|'disabled' op|':' newline|'\n' indent|' ' name|'return' op|'[' name|'__fake_service' op|'(' string|'"nova-compute"' op|',' string|'"zone-2"' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'11' op|',' number|'14' op|',' number|'9' op|',' number|'53' op|',' number|'25' op|',' number|'0' op|')' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'12' op|',' number|'26' op|',' number|'14' op|',' number|'45' op|',' number|'25' op|',' number|'0' op|')' op|',' nl|'\n' string|'"fake_host-1"' op|',' name|'True' op|')' op|',' nl|'\n' name|'__fake_service' op|'(' string|'"nova-scheduler"' op|',' string|'"internal"' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'11' op|',' number|'14' op|',' number|'9' op|',' number|'57' op|',' number|'3' op|',' number|'0' op|')' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'12' op|',' number|'26' op|',' number|'14' op|',' number|'45' op|',' number|'25' op|',' number|'0' op|')' op|',' nl|'\n' string|'"fake_host-1"' op|',' name|'True' op|')' op|',' nl|'\n' name|'__fake_service' op|'(' string|'"nova-network"' op|',' string|'"internal"' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'11' op|',' number|'16' op|',' number|'7' op|',' number|'25' op|',' number|'46' op|',' number|'0' op|')' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'12' op|',' number|'26' op|',' number|'14' op|',' number|'45' op|',' number|'24' op|',' number|'0' op|')' op|',' nl|'\n' string|'"fake_host-2"' op|',' name|'True' op|')' op|']' newline|'\n' dedent|'' name|'else' op|':' newline|'\n' indent|' ' name|'return' op|'[' name|'__fake_service' op|'(' string|'"nova-compute"' op|',' string|'"zone-1"' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'11' op|',' number|'14' op|',' number|'9' op|',' number|'53' op|',' number|'25' op|',' number|'0' op|')' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'12' op|',' number|'26' op|',' number|'14' op|',' number|'45' op|',' number|'25' op|',' number|'0' op|')' op|',' nl|'\n' string|'"fake_host-1"' op|',' name|'False' op|')' op|',' nl|'\n' name|'__fake_service' op|'(' string|'"nova-sched"' op|',' string|'"internal"' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'11' op|',' number|'14' op|',' number|'9' op|',' number|'57' op|',' number|'3' op|',' number|'0' op|')' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'12' op|',' number|'26' op|',' number|'14' op|',' number|'45' op|',' number|'25' op|',' number|'0' op|')' op|',' nl|'\n' string|'"fake_host-1"' op|',' name|'False' op|')' op|',' nl|'\n' name|'__fake_service' op|'(' string|'"nova-network"' op|',' string|'"internal"' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'11' op|',' number|'16' op|',' number|'7' op|',' number|'25' op|',' number|'46' op|',' number|'0' op|')' op|',' nl|'\n' name|'datetime' op|'.' name|'datetime' op|'(' number|'2012' op|',' number|'12' op|',' number|'26' op|',' number|'14' op|',' number|'45' op|',' number|'24' op|',' number|'0' op|')' op|',' nl|'\n' string|'"fake_host-2"' op|',' name|'False' op|')' op|']' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_service_is_up dedent|'' dedent|'' name|'def' name|'fake_service_is_up' op|'(' name|'self' op|',' name|'service' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'service' op|'[' string|"'binary'" op|']' op|'!=' string|'u"nova-network"' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_set_availability_zones dedent|'' name|'def' name|'fake_set_availability_zones' op|'(' name|'context' op|',' name|'services' op|')' op|':' newline|'\n' indent|' ' name|'return' name|'services' newline|'\n' nl|'\n' nl|'\n' DECL|function|fake_get_availability_zones dedent|'' name|'def' name|'fake_get_availability_zones' op|'(' name|'context' op|')' op|':' newline|'\n' indent|' ' name|'return' op|'[' string|"'nova'" op|']' op|',' op|'[' op|']' newline|'\n' nl|'\n' nl|'\n' DECL|variable|CONF dedent|'' name|'CONF' op|'=' name|'cfg' op|'.' name|'CONF' newline|'\n' nl|'\n' nl|'\n' DECL|class|AvailabilityZoneApiTestV21 name|'class' name|'AvailabilityZoneApiTestV21' op|'(' name|'test' op|'.' name|'NoDBTestCase' op|')' op|':' newline|'\n' DECL|variable|availability_zone indent|' ' name|'availability_zone' op|'=' name|'az_v21' newline|'\n' nl|'\n' DECL|member|setUp name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'super' op|'(' name|'AvailabilityZoneApiTestV21' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' name|'availability_zones' op|'.' name|'reset_cache' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'stub_out' op|'(' string|"'nova.db.service_get_all'" op|',' name|'fake_service_get_all' op|')' newline|'\n' name|'self' op|'.' name|'stubs' op|'.' name|'Set' op|'(' name|'availability_zones' op|',' string|"'set_availability_zones'" op|',' nl|'\n' name|'fake_set_availability_zones' op|')' newline|'\n' name|'self' op|'.' name|'stubs' op|'.' name|'Set' op|'(' name|'servicegroup' op|'.' name|'API' op|',' string|"'service_is_up'" op|',' name|'fake_service_is_up' op|')' newline|'\n' name|'self' op|'.' name|'controller' op|'=' name|'self' op|'.' name|'availability_zone' op|'.' name|'AvailabilityZoneController' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'req' op|'=' name|'fakes' op|'.' name|'HTTPRequest' op|'.' name|'blank' op|'(' string|"''" op|')' newline|'\n' nl|'\n' DECL|member|test_filtered_availability_zones dedent|'' name|'def' name|'test_filtered_availability_zones' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'zones' op|'=' op|'[' string|"'zone1'" op|',' string|"'internal'" op|']' newline|'\n' name|'expected' op|'=' op|'[' op|'{' string|"'zoneName'" op|':' string|"'zone1'" op|',' nl|'\n' string|"'zoneState'" op|':' op|'{' string|"'available'" op|':' name|'True' op|'}' op|',' nl|'\n' string|'"hosts"' op|':' name|'None' op|'}' op|']' newline|'\n' name|'result' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'_get_filtered_availability_zones' op|'(' name|'zones' op|',' name|'True' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'result' op|',' name|'expected' op|')' newline|'\n' nl|'\n' name|'expected' op|'=' op|'[' op|'{' string|"'zoneName'" op|':' string|"'zone1'" op|',' nl|'\n' string|"'zoneState'" op|':' op|'{' string|"'available'" op|':' name|'False' op|'}' op|',' nl|'\n' string|'"hosts"' op|':' name|'None' op|'}' op|']' newline|'\n' name|'result' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'_get_filtered_availability_zones' op|'(' name|'zones' op|',' nl|'\n' name|'False' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'result' op|',' name|'expected' op|')' newline|'\n' nl|'\n' DECL|member|test_availability_zone_index dedent|'' name|'def' name|'test_availability_zone_index' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'resp_dict' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'index' op|'(' name|'self' op|'.' name|'req' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertIn' op|'(' string|"'availabilityZoneInfo'" op|',' name|'resp_dict' op|')' newline|'\n' name|'zones' op|'=' name|'resp_dict' op|'[' string|"'availabilityZoneInfo'" op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'len' op|'(' name|'zones' op|')' op|',' number|'2' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'zones' op|'[' number|'0' op|']' op|'[' string|"'zoneName'" op|']' op|',' string|"u'zone-1'" op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'zones' op|'[' number|'0' op|']' op|'[' string|"'zoneState'" op|']' op|'[' string|"'available'" op|']' op|')' newline|'\n' name|'self' op|'.' name|'assertIsNone' op|'(' name|'zones' op|'[' number|'0' op|']' op|'[' string|"'hosts'" op|']' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'zones' op|'[' number|'1' op|']' op|'[' string|"'zoneName'" op|']' op|',' string|"u'zone-2'" op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'zones' op|'[' number|'1' op|']' op|'[' string|"'zoneState'" op|']' op|'[' string|"'available'" op|']' op|')' newline|'\n' name|'self' op|'.' name|'assertIsNone' op|'(' name|'zones' op|'[' number|'1' op|']' op|'[' string|"'hosts'" op|']' op|')' newline|'\n' nl|'\n' DECL|member|test_availability_zone_detail dedent|'' name|'def' name|'test_availability_zone_detail' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'resp_dict' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'detail' op|'(' name|'self' op|'.' name|'req' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertIn' op|'(' string|"'availabilityZoneInfo'" op|',' name|'resp_dict' op|')' newline|'\n' name|'zones' op|'=' name|'resp_dict' op|'[' string|"'availabilityZoneInfo'" op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'len' op|'(' name|'zones' op|')' op|',' number|'3' op|')' newline|'\n' name|'timestamp' op|'=' name|'iso8601' op|'.' name|'parse_date' op|'(' string|'"2012-12-26T14:45:25Z"' op|')' newline|'\n' name|'nova_network_timestamp' op|'=' name|'iso8601' op|'.' name|'parse_date' op|'(' string|'"2012-12-26T14:45:24Z"' op|')' newline|'\n' name|'expected' op|'=' op|'[' op|'{' string|"'zoneName'" op|':' string|"'zone-1'" op|',' nl|'\n' string|"'zoneState'" op|':' op|'{' string|"'available'" op|':' name|'True' op|'}' op|',' nl|'\n' string|"'hosts'" op|':' op|'{' string|"'fake_host-1'" op|':' op|'{' nl|'\n' string|"'nova-compute'" op|':' op|'{' string|"'active'" op|':' name|'True' op|',' string|"'available'" op|':' name|'True' op|',' nl|'\n' string|"'updated_at'" op|':' name|'timestamp' op|'}' op|'}' op|'}' op|'}' op|',' nl|'\n' op|'{' string|"'zoneName'" op|':' string|"'internal'" op|',' nl|'\n' string|"'zoneState'" op|':' op|'{' string|"'available'" op|':' name|'True' op|'}' op|',' nl|'\n' string|"'hosts'" op|':' op|'{' string|"'fake_host-1'" op|':' op|'{' nl|'\n' string|"'nova-sched'" op|':' op|'{' string|"'active'" op|':' name|'True' op|',' string|"'available'" op|':' name|'True' op|',' nl|'\n' string|"'updated_at'" op|':' name|'timestamp' op|'}' op|'}' op|',' nl|'\n' string|"'fake_host-2'" op|':' op|'{' nl|'\n' string|"'nova-network'" op|':' op|'{' nl|'\n' string|"'active'" op|':' name|'True' op|',' nl|'\n' string|"'available'" op|':' name|'False' op|',' nl|'\n' string|"'updated_at'" op|':' name|'nova_network_timestamp' op|'}' op|'}' op|'}' op|'}' op|',' nl|'\n' op|'{' string|"'zoneName'" op|':' string|"'zone-2'" op|',' nl|'\n' string|"'zoneState'" op|':' op|'{' string|"'available'" op|':' name|'False' op|'}' op|',' nl|'\n' string|"'hosts'" op|':' name|'None' op|'}' op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'expected' op|',' name|'zones' op|')' newline|'\n' nl|'\n' DECL|member|test_availability_zone_detail_no_services dedent|'' name|'def' name|'test_availability_zone_detail_no_services' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'expected_response' op|'=' op|'{' string|"'availabilityZoneInfo'" op|':' nl|'\n' op|'[' op|'{' string|"'zoneState'" op|':' op|'{' string|"'available'" op|':' name|'True' op|'}' op|',' nl|'\n' string|"'hosts'" op|':' op|'{' op|'}' op|',' nl|'\n' string|"'zoneName'" op|':' string|"'nova'" op|'}' op|']' op|'}' newline|'\n' name|'self' op|'.' name|'stubs' op|'.' name|'Set' op|'(' name|'availability_zones' op|',' string|"'get_availability_zones'" op|',' nl|'\n' name|'fake_get_availability_zones' op|')' newline|'\n' nl|'\n' name|'resp_dict' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'detail' op|'(' name|'self' op|'.' name|'req' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'assertThat' op|'(' name|'resp_dict' op|',' nl|'\n' name|'matchers' op|'.' name|'DictMatches' op|'(' name|'expected_response' op|')' op|')' newline|'\n' nl|'\n' nl|'\n' DECL|class|ServersControllerCreateTestV21 dedent|'' dedent|'' name|'class' name|'ServersControllerCreateTestV21' op|'(' name|'test' op|'.' name|'TestCase' op|')' op|':' newline|'\n' DECL|variable|base_url indent|' ' name|'base_url' op|'=' string|"'/v2/fake/'" newline|'\n' nl|'\n' DECL|member|setUp name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' string|'"""Shared implementation for tests below that create instance."""' newline|'\n' name|'super' op|'(' name|'ServersControllerCreateTestV21' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'instance_cache_num' op|'=' number|'0' newline|'\n' nl|'\n' name|'self' op|'.' name|'_set_up_controller' op|'(' op|')' newline|'\n' nl|'\n' DECL|function|instance_create name|'def' name|'instance_create' op|'(' name|'context' op|',' name|'inst' op|')' op|':' newline|'\n' indent|' ' name|'inst_type' op|'=' name|'flavors' op|'.' name|'get_flavor_by_flavor_id' op|'(' number|'3' op|')' newline|'\n' name|'image_uuid' op|'=' string|"'76fa36fc-c930-4bf3-8c8a-ea2a2420deb6'" newline|'\n' name|'def_image_ref' op|'=' string|"'http://localhost/images/%s'" op|'%' name|'image_uuid' newline|'\n' name|'self' op|'.' name|'instance_cache_num' op|'+=' number|'1' newline|'\n' name|'instance' op|'=' name|'fake_instance' op|'.' name|'fake_db_instance' op|'(' op|'**' op|'{' nl|'\n' string|"'id'" op|':' name|'self' op|'.' name|'instance_cache_num' op|',' nl|'\n' string|"'display_name'" op|':' name|'inst' op|'[' string|"'display_name'" op|']' name|'or' string|"'test'" op|',' nl|'\n' string|"'uuid'" op|':' name|'FAKE_UUID' op|',' nl|'\n' string|"'instance_type'" op|':' name|'inst_type' op|',' nl|'\n' string|"'access_ip_v4'" op|':' string|"'1.2.3.4'" op|',' nl|'\n' string|"'access_ip_v6'" op|':' string|"'fead::1234'" op|',' nl|'\n' string|"'image_ref'" op|':' name|'inst' op|'.' name|'get' op|'(' string|"'image_ref'" op|',' name|'def_image_ref' op|')' op|',' nl|'\n' string|"'user_id'" op|':' string|"'fake'" op|',' nl|'\n' string|"'project_id'" op|':' string|"'fake'" op|',' nl|'\n' string|"'availability_zone'" op|':' string|"'nova'" op|',' nl|'\n' string|"'reservation_id'" op|':' name|'inst' op|'[' string|"'reservation_id'" op|']' op|',' nl|'\n' string|'"created_at"' op|':' name|'datetime' op|'.' name|'datetime' op|'(' number|'2010' op|',' number|'10' op|',' number|'10' op|',' number|'12' op|',' number|'0' op|',' number|'0' op|')' op|',' nl|'\n' string|'"updated_at"' op|':' name|'datetime' op|'.' name|'datetime' op|'(' number|'2010' op|',' number|'11' op|',' number|'11' op|',' number|'11' op|',' number|'0' op|',' number|'0' op|')' op|',' nl|'\n' string|'"progress"' op|':' number|'0' op|',' nl|'\n' string|'"fixed_ips"' op|':' op|'[' op|']' op|',' nl|'\n' string|'"task_state"' op|':' string|'""' op|',' nl|'\n' string|'"vm_state"' op|':' string|'""' op|',' nl|'\n' string|'"root_device_name"' op|':' name|'inst' op|'.' name|'get' op|'(' string|"'root_device_name'" op|',' string|"'vda'" op|')' op|',' nl|'\n' op|'}' op|')' newline|'\n' nl|'\n' name|'return' name|'instance' newline|'\n' nl|'\n' dedent|'' name|'fake' op|'.' name|'stub_out_image_service' op|'(' name|'self' op|')' newline|'\n' name|'self' op|'.' name|'stub_out' op|'(' string|"'nova.db.instance_create'" op|',' name|'instance_create' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'req' op|'=' name|'fakes' op|'.' name|'HTTPRequest' op|'.' name|'blank' op|'(' string|"''" op|')' newline|'\n' nl|'\n' DECL|member|_set_up_controller dedent|'' name|'def' name|'_set_up_controller' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'ext_info' op|'=' name|'extension_info' op|'.' name|'LoadedExtensionInfo' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'controller' op|'=' name|'servers_v21' op|'.' name|'ServersController' op|'(' nl|'\n' name|'extension_info' op|'=' name|'ext_info' op|')' newline|'\n' name|'CONF' op|'.' name|'set_override' op|'(' string|"'extensions_blacklist'" op|',' nl|'\n' string|"'os-availability-zone'" op|',' nl|'\n' string|"'osapi_v21'" op|')' newline|'\n' name|'self' op|'.' name|'no_availability_zone_controller' op|'=' name|'servers_v21' op|'.' name|'ServersController' op|'(' nl|'\n' name|'extension_info' op|'=' name|'ext_info' op|')' newline|'\n' nl|'\n' DECL|member|_test_create_extra dedent|'' name|'def' name|'_test_create_extra' op|'(' name|'self' op|',' name|'params' op|',' name|'controller' op|')' op|':' newline|'\n' indent|' ' name|'image_uuid' op|'=' string|"'c905cedb-7281-47e4-8a62-f26bc5fc4c77'" newline|'\n' name|'server' op|'=' name|'dict' op|'(' name|'name' op|'=' string|"'server_test'" op|',' name|'imageRef' op|'=' name|'image_uuid' op|',' name|'flavorRef' op|'=' number|'2' op|')' newline|'\n' name|'server' op|'.' name|'update' op|'(' name|'params' op|')' newline|'\n' name|'body' op|'=' name|'dict' op|'(' name|'server' op|'=' name|'server' op|')' newline|'\n' name|'server' op|'=' name|'controller' op|'.' name|'create' op|'(' name|'self' op|'.' name|'req' op|',' name|'body' op|'=' name|'body' op|')' op|'.' name|'obj' op|'[' string|"'server'" op|']' newline|'\n' nl|'\n' DECL|member|test_create_instance_with_availability_zone_disabled dedent|'' name|'def' name|'test_create_instance_with_availability_zone_disabled' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'params' op|'=' op|'{' string|"'availability_zone'" op|':' string|"'foo'" op|'}' newline|'\n' name|'old_create' op|'=' name|'compute_api' op|'.' name|'API' op|'.' name|'create' newline|'\n' nl|'\n' DECL|function|create name|'def' name|'create' op|'(' op|'*' name|'args' op|',' op|'**' name|'kwargs' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'assertIsNone' op|'(' name|'kwargs' op|'[' string|"'availability_zone'" op|']' op|')' newline|'\n' name|'return' name|'old_create' op|'(' op|'*' name|'args' op|',' op|'**' name|'kwargs' op|')' newline|'\n' nl|'\n' dedent|'' name|'self' op|'.' name|'stubs' op|'.' name|'Set' op|'(' name|'compute_api' op|'.' name|'API' op|',' string|"'create'" op|',' name|'create' op|')' newline|'\n' name|'self' op|'.' name|'_test_create_extra' op|'(' name|'params' op|',' name|'self' op|'.' name|'no_availability_zone_controller' op|')' newline|'\n' nl|'\n' DECL|member|_create_instance_with_availability_zone dedent|'' name|'def' name|'_create_instance_with_availability_zone' op|'(' name|'self' op|',' name|'zone_name' op|')' op|':' newline|'\n' DECL|function|create indent|' ' name|'def' name|'create' op|'(' op|'*' name|'args' op|',' op|'**' name|'kwargs' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'assertIn' op|'(' string|"'availability_zone'" op|',' name|'kwargs' op|')' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' string|"'nova'" op|',' name|'kwargs' op|'[' string|"'availability_zone'" op|']' op|')' newline|'\n' name|'return' name|'old_create' op|'(' op|'*' name|'args' op|',' op|'**' name|'kwargs' op|')' newline|'\n' nl|'\n' dedent|'' name|'old_create' op|'=' name|'compute_api' op|'.' name|'API' op|'.' name|'create' newline|'\n' name|'self' op|'.' name|'stubs' op|'.' name|'Set' op|'(' name|'compute_api' op|'.' name|'API' op|',' string|"'create'" op|',' name|'create' op|')' newline|'\n' name|'image_href' op|'=' string|"'76fa36fc-c930-4bf3-8c8a-ea2a2420deb6'" newline|'\n' name|'flavor_ref' op|'=' op|'(' string|"'http://localhost'" op|'+' name|'self' op|'.' name|'base_url' op|'+' string|"'flavors/3'" op|')' newline|'\n' name|'body' op|'=' op|'{' nl|'\n' string|"'server'" op|':' op|'{' nl|'\n' string|"'name'" op|':' string|"'server_test'" op|',' nl|'\n' string|"'imageRef'" op|':' name|'image_href' op|',' nl|'\n' string|"'flavorRef'" op|':' name|'flavor_ref' op|',' nl|'\n' string|"'metadata'" op|':' op|'{' nl|'\n' string|"'hello'" op|':' string|"'world'" op|',' nl|'\n' string|"'open'" op|':' string|"'stack'" op|',' nl|'\n' op|'}' op|',' nl|'\n' string|"'availability_zone'" op|':' name|'zone_name' op|',' nl|'\n' op|'}' op|',' nl|'\n' op|'}' newline|'\n' nl|'\n' name|'admin_context' op|'=' name|'context' op|'.' name|'get_admin_context' op|'(' op|')' newline|'\n' name|'db' op|'.' name|'service_create' op|'(' name|'admin_context' op|',' op|'{' string|"'host'" op|':' string|"'host1_zones'" op|',' nl|'\n' string|"'binary'" op|':' string|'"nova-compute"' op|',' nl|'\n' string|"'topic'" op|':' string|"'compute'" op|',' nl|'\n' string|"'report_count'" op|':' number|'0' op|'}' op|')' newline|'\n' name|'agg' op|'=' name|'db' op|'.' name|'aggregate_create' op|'(' name|'admin_context' op|',' nl|'\n' op|'{' string|"'name'" op|':' string|"'agg1'" op|'}' op|',' op|'{' string|"'availability_zone'" op|':' string|"'nova'" op|'}' op|')' newline|'\n' name|'db' op|'.' name|'aggregate_host_add' op|'(' name|'admin_context' op|',' name|'agg' op|'[' string|"'id'" op|']' op|',' string|"'host1_zones'" op|')' newline|'\n' name|'return' name|'self' op|'.' name|'req' op|',' name|'body' newline|'\n' nl|'\n' DECL|member|test_create_instance_with_availability_zone dedent|'' name|'def' name|'test_create_instance_with_availability_zone' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'zone_name' op|'=' string|"'nova'" newline|'\n' name|'req' op|',' name|'body' op|'=' name|'self' op|'.' name|'_create_instance_with_availability_zone' op|'(' name|'zone_name' op|')' newline|'\n' name|'res' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'create' op|'(' name|'req' op|',' name|'body' op|'=' name|'body' op|')' op|'.' name|'obj' newline|'\n' name|'server' op|'=' name|'res' op|'[' string|"'server'" op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'fakes' op|'.' name|'FAKE_UUID' op|',' name|'server' op|'[' string|"'id'" op|']' op|')' newline|'\n' nl|'\n' DECL|member|test_create_instance_with_invalid_availability_zone_too_long dedent|'' name|'def' name|'test_create_instance_with_invalid_availability_zone_too_long' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'zone_name' op|'=' string|"'a'" op|'*' number|'256' newline|'\n' name|'req' op|',' name|'body' op|'=' name|'self' op|'.' name|'_create_instance_with_availability_zone' op|'(' name|'zone_name' op|')' newline|'\n' name|'self' op|'.' name|'assertRaises' op|'(' name|'exception' op|'.' name|'ValidationError' op|',' nl|'\n' name|'self' op|'.' name|'controller' op|'.' name|'create' op|',' name|'req' op|',' name|'body' op|'=' name|'body' op|')' newline|'\n' nl|'\n' DECL|member|test_create_instance_with_invalid_availability_zone_too_short dedent|'' name|'def' name|'test_create_instance_with_invalid_availability_zone_too_short' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'zone_name' op|'=' string|"''" newline|'\n' name|'req' op|',' name|'body' op|'=' name|'self' op|'.' name|'_create_instance_with_availability_zone' op|'(' name|'zone_name' op|')' newline|'\n' name|'self' op|'.' name|'assertRaises' op|'(' name|'exception' op|'.' name|'ValidationError' op|',' nl|'\n' name|'self' op|'.' name|'controller' op|'.' name|'create' op|',' name|'req' op|',' name|'body' op|'=' name|'body' op|')' newline|'\n' nl|'\n' DECL|member|test_create_instance_with_invalid_availability_zone_not_str dedent|'' name|'def' name|'test_create_instance_with_invalid_availability_zone_not_str' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'zone_name' op|'=' number|'111' newline|'\n' name|'req' op|',' name|'body' op|'=' name|'self' op|'.' name|'_create_instance_with_availability_zone' op|'(' name|'zone_name' op|')' newline|'\n' name|'self' op|'.' name|'assertRaises' op|'(' name|'exception' op|'.' name|'ValidationError' op|',' nl|'\n' name|'self' op|'.' name|'controller' op|'.' name|'create' op|',' name|'req' op|',' name|'body' op|'=' name|'body' op|')' newline|'\n' nl|'\n' DECL|member|test_create_instance_without_availability_zone dedent|'' name|'def' name|'test_create_instance_without_availability_zone' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'image_href' op|'=' string|"'76fa36fc-c930-4bf3-8c8a-ea2a2420deb6'" newline|'\n' name|'flavor_ref' op|'=' op|'(' string|"'http://localhost'" op|'+' name|'self' op|'.' name|'base_url' op|'+' string|"'flavors/3'" op|')' newline|'\n' name|'body' op|'=' op|'{' nl|'\n' string|"'server'" op|':' op|'{' nl|'\n' string|"'name'" op|':' string|"'server_test'" op|',' nl|'\n' string|"'imageRef'" op|':' name|'image_href' op|',' nl|'\n' string|"'flavorRef'" op|':' name|'flavor_ref' op|',' nl|'\n' string|"'metadata'" op|':' op|'{' nl|'\n' string|"'hello'" op|':' string|"'world'" op|',' nl|'\n' string|"'open'" op|':' string|"'stack'" op|',' nl|'\n' op|'}' op|',' nl|'\n' op|'}' op|',' nl|'\n' op|'}' newline|'\n' nl|'\n' name|'res' op|'=' name|'self' op|'.' name|'controller' op|'.' name|'create' op|'(' name|'self' op|'.' name|'req' op|',' name|'body' op|'=' name|'body' op|')' op|'.' name|'obj' newline|'\n' name|'server' op|'=' name|'res' op|'[' string|"'server'" op|']' newline|'\n' name|'self' op|'.' name|'assertEqual' op|'(' name|'fakes' op|'.' name|'FAKE_UUID' op|',' name|'server' op|'[' string|"'id'" op|']' op|')' newline|'\n' dedent|'' dedent|'' endmarker|'' end_unit

12.234114

88

0.60067

4,292

29,264

3.997204

0.068733

0.135346

0.064118

0.053859

0.843029

0.769002

0.715901

0.669562

0.63523

0.579739

0

0.014766

0.09281

29,264

2,391

89

12.23923

0.63146

0

0.94312

0

0.353369

0.053137

0

0.009201

0

null

0

0.007946

null

0

null

0

1

0

1

0

null

0

1

0

5

4a08252e340e9b4a8e337bc06b957232884b243f

225

py

Python

analytics/admin.py

ayushkalani/delightchat

7b60ca16ccd1cf4005fc2833fa03256f11cd71c7

[ "MIT" ]

null

analytics/admin.py

ayushkalani/delightchat

7b60ca16ccd1cf4005fc2833fa03256f11cd71c7

[ "MIT" ]

null

analytics/admin.py

ayushkalani/delightchat

7b60ca16ccd1cf4005fc2833fa03256f11cd71c7

[ "MIT" ]

null

from django.contrib import admin from analytics.models import Accounts, Users, Conversations, Channels admin.site.register(Accounts) admin.site.register(Users) admin.site.register(Conversations) admin.site.register(Channels)

32.142857

69

0.84

29

225

6.517241

0.448276

0.190476

0.359788

0

0.066667

225

7

70

32.142857

0.9

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

4a26f0816b209c1d559188e8cdc9467006e51228

118

py

Python

week1/yaml_test1.py

nlinkov/test_a

091dc66134f1e77ede35f58a774593862a44ded2

[ "MIT" ]

null

week1/yaml_test1.py

nlinkov/test_a

091dc66134f1e77ede35f58a774593862a44ded2

[ "MIT" ]

null

week1/yaml_test1.py

nlinkov/test_a

091dc66134f1e77ede35f58a774593862a44ded2

[ "MIT" ]

null

#!/usr/bin/python from pprint import pprint as pp from yaml_helper import read_yaml pp(read_yaml('test_file3.yml'))

16.857143

33

0.779661

21

118

4.190476

0.666667

0.181818

0

0.009615

0.118644

118

6

34

19.666667

0.836538

0.135593

0

0.138614

0

1

0

true

0

0.666667

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

c5932205db4b9aa0bdd13f3a4902ab9c3b0791cf

63

py

Python

babble/text/__init__.py

rit-git/vanilla-snorkel

401bff1418b7bbf5d1c38312800b5ccf43b21297

[ "Apache-2.0" ]

130

2018-05-11T15:49:02.000Z

2022-03-27T15:28:27.000Z

babble/text/__init__.py

we1l1n/babble

3991ceeadb6bb9ee75a90d7290f8acd0132472db

[ "Apache-2.0" ]

9

2020-03-24T18:21:57.000Z

2022-02-10T00:28:33.000Z

babble/text/__init__.py

we1l1n/babble

3991ceeadb6bb9ee75a90d7290f8acd0132472db

[ "Apache-2.0" ]

17

2018-07-12T09:05:50.000Z

2021-11-15T17:09:35.000Z

from .text_base import text_grammar from .text_helpers import *

31.5

35

0.84127

10

63

5

0.6

0.32

0

0.111111

63

2

36

31.5

0.892857

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

c5af5d62bd0b3d258d486426320a947f7ae28a0c

119

py

Python

tnalgo/__main__.py

manimanis/tnalgo

2340387ecfd9f372aed912f3839db6c68a4512c4

[ "MIT" ]

null

tnalgo/__main__.py

manimanis/tnalgo

2340387ecfd9f372aed912f3839db6c68a4512c4

[ "MIT" ]

null

tnalgo/__main__.py

manimanis/tnalgo

2340387ecfd9f372aed912f3839db6c68a4512c4

[ "MIT" ]

null

def aléa(a, b): return (a + b) // 2 if __name__ == '__main__': print('Import this module in order to use it!')

23.8

51

0.596639

20

119

3.15

0.9

0.063492

0

0.011111

0.243697

119

5

51

23.8

0.688889

0

0.383333

0

1

0.25

false

0

0.25

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

5

c5ba36f4eccbc06e1306bfc970b5d16162ba7e54

14,202

py

Python

Generator/CatanMap.py

Japjappedulap/Catan

40edb38eceab8c45b6889de460f4d529c38215c4

[ "MIT" ]

7

2018-04-15T23:56:19.000Z

2021-05-14T15:30:51.000Z

Generator/CatanMap.py

Japjappedulap/Catan

40edb38eceab8c45b6889de460f4d529c38215c4

[ "MIT" ]

null

Generator/CatanMap.py

Japjappedulap/Catan

40edb38eceab8c45b6889de460f4d529c38215c4

[ "MIT" ]

4

2019-03-15T03:00:07.000Z

2020-10-02T22:00:05.000Z

import numpy class CatanMap: # GLOBAL variables pair_coefficient = [4, 7] trip_coefficient = [8, 10] pair_peak = pair_coefficient[0] + pair_coefficient[1] / 2 trip_peak = trip_coefficient[0] + trip_coefficient[1] / 2 initial_coefficient = 100 def __init__(self): # print("creating new map") self.tile = [] self.tile_dice = [] self.neighbor_recurrence = {} self.resource_distribution = None self.tile_pairs = [] self.tile_to_name = {0: "none", 1: "LUMB", 2: "WOOL", 3: "GRAI", 4: "OREE", 5: "CLAY", 6: "DESE"} self.name_to_tile = {"LUMB": 1, "WOOL": 2, "GRAI": 3, "OREE": 4, "CLAY": 5, "DESE": 6} self.dice_probability = {2: 1, 3: 2, 4: 3, 5: 4, 6: 5, 7: 6, 8: 5, 9: 4, 10: 3, 11: 2, 12: 1} # self.statistics = Statistics() # def __del__(self): # self.statistics.close_statistics() # self.statistics.generate_graph() def export(self): """ JSON schema { type: *classic, extended* tile: [elements] if classic, list has 19 elements if extended,list has 30 elements } Element schema { index: *0-19, 0-30* resource_type: *LUMB, WOOL, GRAI, OREE, CLAY, DESE* dice: *0, 2-12* } :return: JSON representing the map """ pass def fix_tile(self, index, resource, dice): self.tile[index] = resource self.tile_dice[index] = dice self.resource_distribution.remove_resource(resource, dice) def get_resource_distribution(self): return self.resource_distribution def completed(self): if not self.no_identic_neighbours(): return False for i in self.tile: if i == 0: return False return True def no_identic_neighbours(self): for i in self.neighbor_recurrence: for j in self.neighbor_recurrence[i]: if self.tile[j] == self.tile[i]: return False return True def are_neighbor(self, tile1, tile2): for i in self.neighbor_recurrence[tile1]: if i == tile2: return True for i in self.neighbor_recurrence[tile2]: if i == tile1: return True return False def generate_dices(self): self.resource_distribution.generate_balanced() def generate_next_tile_possibilities_single(self): try: candidates = [] prob = [] for i in self.resource_distribution.configuration: for j in self.resource_distribution.configuration[i]: candidates.append((i, j)) coefficient = len(self.resource_distribution.configuration[i]) coefficient += self.dice_probability[j] prob.append(coefficient) indexes = [] total = sum(prob) for i in range(len(prob)): prob[i] = prob[i] / total indexes.append(i) result = numpy.random.choice(indexes, 1, p=prob) return candidates[numpy.asscalar(result[0])] except Exception: raise Exception def generate_next_tile_possibilities_pair(self, index): try: tile_resource = self.tile[index] # already set tile_dice = self.tile_dice[index] # already set candidates = [] prob = [] for i in self.resource_distribution.configuration: for j in self.resource_distribution.configuration[i]: if self.pair_coefficient[0] <= self.dice_probability[tile_dice] + self.dice_probability[j] <= \ self.pair_coefficient[1]: coefficient = self.initial_coefficient candidates.append((i, j)) # coefficient grows if there are more resources available in the pool coefficient += len(self.resource_distribution.configuration[i]) # coefficient grows if bigger dice coefficient += self.dice_probability[j] # coefficient grows when getting closer to peak coefficient = coefficient - 2 * abs(self.pair_peak - (self.dice_probability[tile_dice] + self.dice_probability[j])) ** 2 # coefficient shrinks if resources are identical if i == tile_resource: coefficient /= 4 else: coefficient *= 4 prob.append(coefficient) # records coefficient for statistics # self.statistics.log_coefficient(coefficient) indexes = [] total = sum(prob) for i in range(len(prob)): prob[i] = prob[i] / total indexes.append(i) result = numpy.random.choice(indexes, 1, p=prob) return candidates[numpy.asscalar(result[0])] except Exception as e: print(e) # if no tile and dice available, throw exception in order to stop raise Exception def generate_next_tile_possibilities_closed_triple(self, index1, index2): try: tile1_resource = self.tile[index1] # already set tile1_dice = self.tile_dice[index1] # already set tile2_resource = self.tile[index2] # already set tile2_dice = self.tile_dice[index2] # already set candidates = [] prob = [] for i in self.resource_distribution.configuration: for j in self.resource_distribution.configuration[i]: if self.trip_coefficient[0] <= self.dice_probability[tile1_dice] + self.dice_probability[j] + \ self.dice_probability[tile2_dice] <= self.trip_coefficient[1]: coefficient = self.initial_coefficient candidates.append((i, j)) # coefficient grows if there are more resources available in the pool coefficient += len(self.resource_distribution.configuration[i]) # coefficient grows if bigger dice coefficient += self.dice_probability[j] # coefficient grows when getting closer to peak coefficient -= 2 * abs(self.trip_peak - (self.dice_probability[tile1_dice] + self.dice_probability[tile2_dice] + self.dice_probability[j])) ** 2 # coefficient shrinks if resources are identical if i == tile1_resource: coefficient /= 4 elif i != tile1_resource: coefficient *= 4 if i == tile2_resource: coefficient /= 4 elif i != tile2_resource: coefficient *= 4 prob.append(coefficient) # records coefficient for statistics # self.statistics.log_coefficient(coefficient) indexes = [] total = sum(prob) for i in range(len(prob)): prob[i] = prob[i] / total indexes.append(i) result = numpy.random.choice(indexes, 1, p=prob) return candidates[numpy.asscalar(result[0])] except Exception: raise Exception def generate_next_tile_possibilities_scattered_triple(self, index1, index2): try: tile1_resource = self.tile[index1] # already set tile1_dice = self.tile_dice[index1] # already set tile2_resource = self.tile[index2] # already set tile2_dice = self.tile_dice[index2] # already set candidates = [] prob = [] for i in self.resource_distribution.configuration: for j in self.resource_distribution.configuration[i]: if self.pair_coefficient[0] <= self.dice_probability[tile1_dice] + self.dice_probability[j] <= \ self.pair_coefficient[1] and \ self.pair_coefficient[0] <= self.dice_probability[tile2_dice] + self.dice_probability[j] \ <= self.pair_coefficient[1]: coefficient = self.initial_coefficient candidates.append((i, j)) # coefficient grows if there are more resources available in the pool coefficient += len(self.resource_distribution.configuration[i]) # coefficient grows if bigger dice coefficient += self.dice_probability[j] # coefficient grows when getting closer to peak coefficient -= 2 * (abs(self.pair_peak - (self.dice_probability[tile1_dice] + self.dice_probability[j])) ** 2 + abs(self.pair_peak - (self.dice_probability[tile2_dice] + self.dice_probability[j])) ** 2) # coefficient shrinks if resources are identical if i == tile1_resource: coefficient /= 4 elif i != tile1_resource: coefficient *= 4 if i == tile2_resource: coefficient /= 4 elif i != tile2_resource: coefficient *= 4 prob.append(coefficient) # records coefficient for statistics # self.statistics.log_coefficient(coefficient) indexes = [] total = sum(prob) for i in range(len(prob)): prob[i] = prob[i] / total indexes.append(i) result = numpy.random.choice(indexes, 1, p=prob) return candidates[numpy.asscalar(result[0])] except Exception: raise Exception def generate_next_tile_possibilities_quad(self, index1, index2, index3): # index1 must be common for both triples (smallest of the indexes) try: tile1_resource = self.tile[index1] # already set tile1_dice = self.tile_dice[index1] # already set tile2_resource = self.tile[index2] # already set tile2_dice = self.tile_dice[index2] # already se tile3_resource = self.tile[index3] # already set tile3_dice = self.tile_dice[index3] # already set candidates = [] prob = [] for i in self.resource_distribution.configuration: for j in self.resource_distribution.configuration[i]: if self.trip_coefficient[0] <= self.dice_probability[tile1_dice] + \ self.dice_probability[tile2_dice] + \ self.dice_probability[j] <= self.trip_coefficient[1] \ and self.trip_coefficient[0] <= \ self.dice_probability[tile1_dice] + \ self.dice_probability[tile3_dice] + \ self.dice_probability[j] <= self.trip_coefficient[1]: coefficient = self.initial_coefficient candidates.append((i, j)) # coefficient grows if there are more resources available in the pool coefficient += len(self.resource_distribution.configuration[i]) # coefficient grows if bigger dice coefficient += self.dice_probability[j] # coefficient grows when getting closer to peak coefficient -= 2 * (abs(self.trip_peak - (self.dice_probability[tile1_dice] + self.dice_probability[tile2_dice] + self.dice_probability[j])) ** 2 + abs(self.trip_peak - (self.dice_probability[tile1_dice] + self.dice_probability[tile3_dice] + self.dice_probability[j])) ** 2) # coefficient shrinks if resources are identical if i == tile1_resource: coefficient /= 4 elif i != tile1_resource: coefficient *= 4 if i == tile2_resource: coefficient /= 4 elif i != tile2_resource: coefficient *= 4 if i == tile3_resource: coefficient /= 4 elif i != tile3_resource: coefficient *= 4 prob.append(coefficient) # records coefficient for statistics # self.statistics.log_coefficient(coefficient) indexes = [] total = sum(prob) for i in range(len(prob)): prob[i] = prob[i] / total indexes.append(i) result = numpy.random.choice(indexes, 1, p=prob) return candidates[numpy.asscalar(result[0])] except Exception: raise Exception

44.38125

118

0.502253

1,351

14,202

5.129534

0.113249

0.041558

0.098701

0.049062

0.776912

0.754401

0.738817

0.729293

0.717893

0.697403

0

0.022647

0.418603

14,202

319

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0

null

0

1

0

null

0

5

c5dd7c3fc4d6b6a3f52df9680bd2e4c470a367b8

2,481

py

Python

stubs.min/System/Windows/__init___parts/FontStyleConverter.py

ricardyn/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

1

2021-02-02T13:39:16.000Z

stubs.min/System/Windows/__init___parts/FontStyleConverter.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

stubs.min/System/Windows/__init___parts/FontStyleConverter.py

hdm-dt-fb/ironpython-stubs

4d2b405eda3ceed186e8adca55dd97c332c6f49d

[ "MIT" ]

null

class FontStyleConverter(TypeConverter): """ Converts instances of System.Windows.FontStyle to and from other data types. FontStyleConverter() """ def CanConvertFrom(self,*__args): """ CanConvertFrom(self: FontStyleConverter,td: ITypeDescriptorContext,t: Type) -> bool Returns a value that indicates whether this converter can convert an object of the given type to an instance of System.Windows.FontStyle. td: Describes the context information of a type. t: The type of the source that is being evaluated for conversion. Returns: true if the converter can convert the provided type to an instance of System.Windows.FontStyle; otherwise,false. """ pass def CanConvertTo(self,*__args): """ CanConvertTo(self: FontStyleConverter,context: ITypeDescriptorContext,destinationType: Type) -> bool Determines whether an instance of System.Windows.FontStyle can be converted to a different type. context: Context information of a type. destinationType: The desired type that that this instance of System.Windows.FontStyle is being evaluated for conversion to. Returns: true if the converter can convert this instance of System.Windows.FontStyle; otherwise,false. """ pass def ConvertFrom(self,*__args): """ ConvertFrom(self: FontStyleConverter,td: ITypeDescriptorContext,ci: CultureInfo,value: object) -> object Attempts to convert a specified object to an instance of System.Windows.FontStyle. td: Context information of a type. ci: System.Globalization.CultureInfo of the type being converted. value: The object being converted. Returns: The instance of System.Windows.FontStyle created from the converted value. """ pass def ConvertTo(self,*__args): """ ConvertTo(self: FontStyleConverter,context: ITypeDescriptorContext,culture: CultureInfo,value: object,destinationType: Type) -> object Attempts to convert an instance of System.Windows.FontStyle to a specified type. context: Context information of a type. culture: System.Globalization.CultureInfo of the type being converted. value: The instance of System.Windows.FontStyle to convert. destinationType: The type this instance of System.Windows.FontStyle is converted to. Returns: The object created from the converted instance of System.Windows.FontStyle. """ pass

38.765625

138

0.723096

296

2,481

6.033784

0.236486

0.053751

0.100784

0.161254

0.470885

0.379059

0.298992

0.176932

0.12766

0.068309

0

0.210802

2,481

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0.912155

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0.444444

false

0.444444

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0.555556

0

null

0

1

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1

0

null

0

1

0

1

0

1

0

5

c5e119efca3464c784f9c359664184645fe9ae47

205

py

Python

Codewars/Find_the_median_7_kyu.py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

[ "MIT" ]

null

Codewars/Find_the_median_7_kyu.py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

[ "MIT" ]

null

Codewars/Find_the_median_7_kyu.py

maxcohen31/A-bored-math-student

007beb4dabf7b4406f48e9a3a967c29d032eab89

[ "MIT" ]

null

def median(array): array = sorted(array) if len(array) % 2 == 0: return (array[(len(array) - 1) // 2] + array[len(array) // 2]) / 2 else: return array[len(array) // 2]

25.625

74

0.497561

28

205

3.642857

0.392857

0.313725

0.264706

0.372549

0

0.05

0.317073

205

7

75

29.285714

0.678571

0

1

0.166667

false

0

0.5

0

1

0

null

1

0

1

0

null

0

5

c5fa1f4ff54e510dcf48e6329ce91ebc9e7b6a1c

124

py

Python

marcotti/etl/ejson/default.py

soccermetrics/marcotti

eda2f19bd6cbc6f9c7482e8fe31b2233b33aacfd

[ "MIT" ]

30

2015-11-23T07:51:54.000Z

2020-06-29T16:11:55.000Z

marcotti/etl/ejson/default.py

soccermetrics/marcotti

eda2f19bd6cbc6f9c7482e8fe31b2233b33aacfd

[ "MIT" ]

1

2016-06-26T18:44:47.000Z

2016-06-29T03:02:40.000Z

marcotti/etl/ejson/default.py

soccermetrics/marcotti

eda2f19bd6cbc6f9c7482e8fe31b2233b33aacfd

[ "MIT" ]

8

2016-01-13T12:23:16.000Z

2021-10-11T07:39:33.000Z

from .base import BaseJSON, extract class JSONExtractor(BaseJSON): pass class JSONStatExtractor(BaseJSON): pass

12.4

35

0.75

13

124

7.153846

0.692308

0.258065

0

0.185484

124

9

36

13.777778

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0

0.4

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true

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0.2

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null

1

0

1

0

null

0

1

0

5

680f529f2a5ddf73f6932238385137f6fa9100a5

4,325

py

Python

src/antlr4parser/RuleCheckTreeLexer.py

Zhou-Yucheng/auto-rule-transform

1a0760a6b6a5c4e911ca527d45bf43c4b8331830

[ "MIT" ]

7

2020-10-09T06:28:18.000Z

2022-01-14T16:48:30.000Z

src/antlr4parser/RuleCheckTreeLexer.py

SkydustZ/auto-rule-transform

37b1d800d2de53e3c588d25be08304cca938f276

[ "MIT" ]

null

src/antlr4parser/RuleCheckTreeLexer.py

SkydustZ/auto-rule-transform

37b1d800d2de53e3c588d25be08304cca938f276

[ "MIT" ]

4

2021-04-18T07:48:56.000Z

2022-03-10T07:43:50.000Z

# Generated from .\RuleCheckTree.g4 by ANTLR 4.8 from antlr4 import * from io import StringIO from typing.io import TextIO import sys def serializedATN(): with StringIO() as buf: buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\13") buf.write("\177\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7\t") buf.write("\7\4\b\t\b\4\t\t\t\4\n\t\n\3\2\3\2\7\2\30\n\2\f\2\16\2") buf.write("\33\13\2\3\2\3\2\3\2\3\2\3\2\3\2\3\2\3\3\3\3\7\3&\n\3") buf.write("\f\3\16\3)\13\3\3\3\3\3\3\3\3\3\3\3\3\3\3\4\3\4\7\4\63") buf.write("\n\4\f\4\16\4\66\13\4\3\4\3\4\5\4:\n\4\3\4\3\4\3\4\3\4") buf.write("\3\4\3\4\3\5\3\5\7\5D\n\5\f\5\16\5G\13\5\3\5\3\5\5\5K") buf.write("\n\5\3\5\3\5\3\5\3\5\3\5\3\5\3\5\3\6\3\6\7\6V\n\6\f\6") buf.write("\16\6Y\13\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\7\3\7\7") buf.write("\7e\n\7\f\7\16\7h\13\7\3\7\3\7\3\7\3\7\3\7\3\7\3\b\6\b") buf.write("q\n\b\r\b\16\br\3\b\3\b\3\t\3\t\3\n\5\nz\n\n\3\n\3\n\3") buf.write("\n\3\n\t\31\'\64EWfr\2\13\3\3\5\4\7\5\t\6\13\7\r\b\17") buf.write("\t\21\n\23\13\3\2\3\5\2\f\f\17\17]]\2\u0088\2\3\3\2\2") buf.write("\2\2\5\3\2\2\2\2\7\3\2\2\2\2\t\3\2\2\2\2\13\3\2\2\2\2") buf.write("\r\3\2\2\2\2\17\3\2\2\2\2\21\3\2\2\2\2\23\3\2\2\2\3\25") buf.write("\3\2\2\2\5#\3\2\2\2\7\60\3\2\2\2\tA\3\2\2\2\13S\3\2\2") buf.write("\2\rb\3\2\2\2\17p\3\2\2\2\21v\3\2\2\2\23y\3\2\2\2\25\31") buf.write("\7]\2\2\26\30\5\21\t\2\27\26\3\2\2\2\30\33\3\2\2\2\31") buf.write("\32\3\2\2\2\31\27\3\2\2\2\32\34\3\2\2\2\33\31\3\2\2\2") buf.write("\34\35\7\61\2\2\35\36\7r\2\2\36\37\7t\2\2\37 \7q\2\2 ") buf.write("!\7r\2\2!\"\7_\2\2\"\4\3\2\2\2#\'\7]\2\2$&\5\21\t\2%$") buf.write("\3\2\2\2&)\3\2\2\2\'(\3\2\2\2\'%\3\2\2\2(*\3\2\2\2)\'") buf.write("\3\2\2\2*+\7\61\2\2+,\7e\2\2,-\7o\2\2-.\7r\2\2./\7_\2") buf.write("\2/\6\3\2\2\2\60\64\7]\2\2\61\63\5\21\t\2\62\61\3\2\2") buf.write("\2\63\66\3\2\2\2\64\65\3\2\2\2\64\62\3\2\2\2\65\67\3\2") buf.write("\2\2\66\64\3\2\2\2\679\7\61\2\28:\7C\2\298\3\2\2\29:\3") buf.write("\2\2\2:;\3\2\2\2;<\7T\2\2<=\7q\2\2=>\7d\2\2>?\7l\2\2?") buf.write("@\7_\2\2@\b\3\2\2\2AE\7]\2\2BD\5\21\t\2CB\3\2\2\2DG\3") buf.write("\2\2\2EF\3\2\2\2EC\3\2\2\2FH\3\2\2\2GE\3\2\2\2HJ\7\61") buf.write("\2\2IK\7C\2\2JI\3\2\2\2JK\3\2\2\2KL\3\2\2\2LM\7T\2\2M") buf.write("N\7r\2\2NO\7t\2\2OP\7q\2\2PQ\7r\2\2QR\7_\2\2R\n\3\2\2") buf.write("\2SW\7]\2\2TV\5\21\t\2UT\3\2\2\2VY\3\2\2\2WX\3\2\2\2W") buf.write("U\3\2\2\2XZ\3\2\2\2YW\3\2\2\2Z[\7\61\2\2[\\\7q\2\2\\]") buf.write("\7d\2\2]^\7l\2\2^_\7_\2\2_`\3\2\2\2`a\b\6\2\2a\f\3\2\2") buf.write("\2bf\7]\2\2ce\5\21\t\2dc\3\2\2\2eh\3\2\2\2fg\3\2\2\2f") buf.write("d\3\2\2\2gi\3\2\2\2hf\3\2\2\2ij\7\61\2\2jk\7Q\2\2kl\7") buf.write("_\2\2lm\3\2\2\2mn\b\7\2\2n\16\3\2\2\2oq\5\21\t\2po\3\2") buf.write("\2\2qr\3\2\2\2rs\3\2\2\2rp\3\2\2\2st\3\2\2\2tu\b\b\2\2") buf.write("u\20\3\2\2\2vw\n\2\2\2w\22\3\2\2\2xz\7\17\2\2yx\3\2\2") buf.write("\2yz\3\2\2\2z{\3\2\2\2{|\7\f\2\2|}\3\2\2\2}~\b\n\2\2~") buf.write("\24\3\2\2\2\r\2\31\'\649EJWfry\3\b\2\2") return buf.getvalue() class RuleCheckTreeLexer(Lexer): atn = ATNDeserializer().deserialize(serializedATN()) decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] PROP = 1 CMP = 2 ROBJ = 3 RPROP = 4 OBJ = 5 OTHER = 6 OTHERS = 7 CHAR = 8 NEWLINE = 9 channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ] modeNames = [ "DEFAULT_MODE" ] literalNames = [ "<INVALID>", ] symbolicNames = [ "<INVALID>", "PROP", "CMP", "ROBJ", "RPROP", "OBJ", "OTHER", "OTHERS", "CHAR", "NEWLINE" ] ruleNames = [ "PROP", "CMP", "ROBJ", "RPROP", "OBJ", "OTHER", "OTHERS", "CHAR", "NEWLINE" ] grammarFileName = "RuleCheckTree.g4" def __init__(self, input=None, output:TextIO = sys.stdout): super().__init__(input, output) self.checkVersion("4.8") self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache()) self._actions = None self._predicates = None

45.526316

103

0.526705

1,111

4,325

2.030603

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0.137411

0.101064

0.069149

0.256649

0.140071

0.102394

0.079787

0.04344

0

0.260953

0.160925

4,325

94

104

46.010638

0.360705

0.010636

0

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0.539474

0.543158

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0.026316

false

0

0.052632

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0

5

a87229944543498fc91d732ff1fd00136b519567

4,796

py

Python

py3canvas/tests/modules.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

py3canvas/tests/modules.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

py3canvas/tests/modules.py

tylerclair/py3canvas

7485d458606b65200f0ffa5bbe597a9d0bee189f

[ "MIT" ]

null

"""Modules API Tests for Version 1.0. This is a testing template for the generated ModulesAPI Class. """ import unittest import requests import secrets from py3canvas.apis.modules import ModulesAPI from py3canvas.apis.modules import Module from py3canvas.apis.modules import Completionrequirement from py3canvas.apis.modules import Contentdetails from py3canvas.apis.modules import Moduleitem from py3canvas.apis.modules import Moduleitemsequencenode from py3canvas.apis.modules import Moduleitemsequence class TestModulesAPI(unittest.TestCase): """Tests for the ModulesAPI.""" def setUp(self): self.client = ModulesAPI(secrets.instance_address, secrets.access_token) def test_list_modules(self): """Integration test for the ModulesAPI.list_modules method.""" course_id = None # Change me!! r = self.client.list_modules( course_id, include=None, search_term=None, student_id=None ) def test_show_module(self): """Integration test for the ModulesAPI.show_module method.""" course_id = None # Change me!! id = None # Change me!! r = self.client.show_module(course_id, id, include=None, student_id=None) def test_create_module(self): """Integration test for the ModulesAPI.create_module method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass def test_update_module(self): """Integration test for the ModulesAPI.update_module method.""" # This method utilises the PUT request method and will make changes to the Canvas instance. This needs consideration. pass def test_delete_module(self): """Integration test for the ModulesAPI.delete_module method.""" course_id = None # Change me!! id = None # Change me!! r = self.client.delete_module(course_id, id) def test_re_lock_module_progressions(self): """Integration test for the ModulesAPI.re_lock_module_progressions method.""" # This method utilises the PUT request method and will make changes to the Canvas instance. This needs consideration. pass def test_list_module_items(self): """Integration test for the ModulesAPI.list_module_items method.""" course_id = None # Change me!! module_id = None # Change me!! r = self.client.list_module_items( course_id, module_id, include=None, search_term=None, student_id=None ) def test_show_module_item(self): """Integration test for the ModulesAPI.show_module_item method.""" course_id = None # Change me!! module_id = None # Change me!! id = None # Change me!! r = self.client.show_module_item( course_id, id, module_id, include=None, student_id=None ) def test_create_module_item(self): """Integration test for the ModulesAPI.create_module_item method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass def test_update_module_item(self): """Integration test for the ModulesAPI.update_module_item method.""" # This method utilises the PUT request method and will make changes to the Canvas instance. This needs consideration. pass def test_select_mastery_path(self): """Integration test for the ModulesAPI.select_mastery_path method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass def test_delete_module_item(self): """Integration test for the ModulesAPI.delete_module_item method.""" course_id = None # Change me!! module_id = None # Change me!! id = None # Change me!! r = self.client.delete_module_item(course_id, id, module_id) def test_mark_module_item_as_done_not_done(self): """Integration test for the ModulesAPI.mark_module_item_as_done_not_done method.""" # This method utilises the PUT request method and will make changes to the Canvas instance. This needs consideration. pass def test_get_module_item_sequence(self): """Integration test for the ModulesAPI.get_module_item_sequence method.""" course_id = None # Change me!! r = self.client.get_module_item_sequence( course_id, asset_id=None, asset_type=None ) def test_mark_module_item_read(self): """Integration test for the ModulesAPI.mark_module_item_read method.""" # This method utilises the POST request method and will make changes to the Canvas instance. This needs consideration. pass

40.302521

126

0.699333

628

4,796

5.148089

0.138535

0.035261

0.079183

0.102072

0.802041

0.725951

0.693474

0.641509

0.523044

0.469842

0

0.002427

0.226647

4,796

118

127

40.644068

0.869237

0.453086

0

0.338462

1

0

1

0.246154

false

0.123077

0.153846

0

0.415385

0

null

0

1

0

1

0

null

0

1

0

1

0

5

a8753227562dac4c0f835fdc3c772dcd3501bf9b

64

py

Python

count.py

karimjamali/Class-1

64a97e143dd0a9bd0e177481a6a858638bfd3766

[ "Apache-2.0" ]

null

count.py

karimjamali/Class-1

64a97e143dd0a9bd0e177481a6a858638bfd3766

[ "Apache-2.0" ]

null

count.py

karimjamali/Class-1

64a97e143dd0a9bd0e177481a6a858638bfd3766

[ "Apache-2.0" ]

null

for i in range (9): print i for x in range (5): print x

9.142857

19

0.5625

14

64

2.571429

0.571429

0.388889

0

0.047619

0.34375

64

6

20

10.666667

0.809524

0

null

0

null

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

5

a87aa548ce2589611fcee1c5b5c397f3c7208777

195

py

Python

decharges/decharge/templatetags/data_manipulation.py

Brndan/decharges-sudeducation

6807b619f48b3c0b1dda4cd56d0a1cf46695e1f3

[ "MIT" ]

null

decharges/decharge/templatetags/data_manipulation.py

Brndan/decharges-sudeducation

6807b619f48b3c0b1dda4cd56d0a1cf46695e1f3

[ "MIT" ]

null

decharges/decharge/templatetags/data_manipulation.py

Brndan/decharges-sudeducation

6807b619f48b3c0b1dda4cd56d0a1cf46695e1f3

[ "MIT" ]

null

from django import template register = template.Library() @register.filter def index(array, i): return array[i] @register.filter(name="abs") def abs_filter(value): return abs(value)

13.928571

29

0.717949

27

195

5.148148

0.555556

0.201439

0

0.158974

195

13

30

15

0.847561

0

0.015385

0

1

0.25

false

0

0.125

0.25

0.625

0

1

0

null

1

0

null

0

1

0

1

0

5