xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

8bbfbf6636d3999d937930ee3a723c384301e4a4

346

py

Python

src/octopus/transport/gsioc.py

gar-syn/congo-lab

dc50af4e35903556bc8bc34dc23a7a708c1f5422

[ "MIT" ]

1

2021-02-02T11:27:25.000Z

src/octopus/transport/gsioc.py

gar-syn/congo-lab

dc50af4e35903556bc8bc34dc23a7a708c1f5422

[ "MIT" ]

18

2021-02-01T11:35:15.000Z

2021-08-03T14:23:38.000Z

src/octopus/transport/gsioc.py

gar-syn/congo-lab

dc50af4e35903556bc8bc34dc23a7a708c1f5422

[ "MIT" ]

null

# Twisted Imports from twisted.internet import defer class Slave (object): def __init__ (self, immediate_command, buffered_command, name): self.immediate_command = immediate_command self.buffered_command = buffered_command self.name = name def connect (self, protocolFactory): return defer.succeed(self)

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8bc8cdcca8e02d2b74049a8b19cf60583684eca2

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py

Python

curso/PY2/for/ex7.py

smrsassa/Studying-Python

a5acbce42b85bdd6aea8058ca323fbbd12ce5c22

[ "MIT" ]

1

2019-10-21T18:19:13.000Z

curso/PY2/for/ex7.py

smrsassa/Studying-python

a5acbce42b85bdd6aea8058ca323fbbd12ce5c22

[ "MIT" ]

null

curso/PY2/for/ex7.py

smrsassa/Studying-python

a5acbce42b85bdd6aea8058ca323fbbd12ce5c22

[ "MIT" ]

null

###exercicio 52 n = int(input('digite um numero: ')) if n == 2 or n == 3 or n == 5: print ('{} é um numero primo'.format(n)) elif n%2 == 0 or n%3 == 0 or n%5 == 0: print ('{} não é um numero primo'.format(n)) else: print ('{} é um numero primo'.format(n)) print ('Fim!!!')

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8bd41c38f0c16f2defa63f2cf34cc3689a723d49

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py

Python

pytorch_template/models/optimizer/__init__.py

nextbitlabs/pytorch-template

d6a5f4cc2d323a4d115b851d523d565e69825c4a

[ "Apache-2.0" ]

10

2020-02-10T11:27:54.000Z

2021-08-17T02:49:35.000Z

pytorch_template/models/optimizer/__init__.py

nextbitlabs/pytorch-template

d6a5f4cc2d323a4d115b851d523d565e69825c4a

[ "Apache-2.0" ]

2

2020-02-10T11:31:03.000Z

2020-02-10T13:49:18.000Z

pytorch_template/models/optimizer/__init__.py

nextbitlabs/pytorch-template

d6a5f4cc2d323a4d115b851d523d565e69825c4a

[ "Apache-2.0" ]

null

from .lookahead import Lookahead from .radam import RAdam from .ranger import Ranger

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8be472e04826933c1405461236deb27251b45019

192

py

Python

critsapi/exceptions.py

Magicked/critsapi

65ed5f03578b70d05c63c59883d758bf7ca853bc

[ "Apache-2.0" ]

null

critsapi/exceptions.py

Magicked/critsapi

65ed5f03578b70d05c63c59883d758bf7ca853bc

[ "Apache-2.0" ]

1

2018-05-08T16:44:02.000Z

critsapi/exceptions.py

Magicked/critsapi

65ed5f03578b70d05c63c59883d758bf7ca853bc

[ "Apache-2.0" ]

3

2017-06-07T15:47:30.000Z

2018-08-24T15:37:52.000Z

class CRITsOperationalError(Exception): """ Critical error oh shiiiii""" pass class CRITsInvalidTypeError(Exception): """Raised when an invalid TLO type is specified""" pass

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8be5299eaf39d739e6a7a3d2ee079ec4b5b28788

54

py

Python

04_datacamp/solutions/05_solutions.py

HirahTang/datascience_starter_course

a4429db9ae1795eaf52b795d16897466d769c40c

[ "CC0-1.0" ]

3

2020-09-06T06:01:41.000Z

2020-09-23T19:03:04.000Z

02_pandas/solutions/05_solutions.py

glemaitre/smob_paristech_12_2018

b669206f204a3e57e71efb3dd22e2ffbc4e0a309

[ "CC0-1.0" ]

4

2019-02-22T21:37:20.000Z

2019-03-12T13:20:29.000Z

02_pandas/solutions/05_solutions.py

glemaitre/smob_paristech_12_2018

b669206f204a3e57e71efb3dd22e2ffbc4e0a309

[ "CC0-1.0" ]

5

2020-10-26T05:03:09.000Z

2022-03-24T04:22:09.000Z

df[(df['Sex'] == 'male') & (df['Age'] > 60)].shape[0]

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47516a7f74fef5bc3b598ffc54214db46d8d7b85

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py

Python

src/schema/anniversary/__init__.py

week-with-me/fastapi-mongodb

c1b319a5f93a4a5c9c7800506fd7a1313de38ac1

[ "MIT" ]

1

2021-12-21T15:01:28.000Z

src/schema/anniversary/__init__.py

week-with-me/fastapi-mongodb

c1b319a5f93a4a5c9c7800506fd7a1313de38ac1

[ "MIT" ]

null

src/schema/anniversary/__init__.py

week-with-me/fastapi-mongodb

c1b319a5f93a4a5c9c7800506fd7a1313de38ac1

[ "MIT" ]

null

from src.schema.anniversary.crud import CreateAnniversary, UpdateAnniversary

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181

py

Python

checkout/admin.py

maurosantosdev/lojavirtual

636c155449169e762db9c4897596136d1f479b92

[ "MIT" ]

null

checkout/admin.py

maurosantosdev/lojavirtual

636c155449169e762db9c4897596136d1f479b92

[ "MIT" ]

null

checkout/admin.py

maurosantosdev/lojavirtual

636c155449169e762db9c4897596136d1f479b92

[ "MIT" ]

null

# coding=utf-8 from django.contrib import admin # Register your models here. from .models import CartItem, Order, OrderItem admin.site.register([CartItem, Order, OrderItem])

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477bac8393d7da0d40b0b90186d33f288d20acf4

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py

Python

src/svqc/svqc/tests/constants.py

leipzig/gatk-sv

96566cbbaf0f8f9c8452517b38eea1e5dd6ed33a

[ "BSD-3-Clause" ]

76

2020-06-18T21:31:43.000Z

2022-03-02T18:42:58.000Z

src/svqc/svqc/tests/constants.py

iamh2o/gatk-sv

bf3704bd1d705339577530e267cd4d1b2f77a17f

[ "BSD-3-Clause" ]

195

2020-06-22T15:12:28.000Z

2022-03-28T18:06:46.000Z

src/svqc/svqc/tests/constants.py

iamh2o/gatk-sv

bf3704bd1d705339577530e267cd4d1b2f77a17f

[ "BSD-3-Clause" ]

39

2020-07-03T06:47:18.000Z

2022-03-03T03:47:25.000Z

#!/usr/bin/env python EXPECTED_NUM_TESTS = 4 METRICS_FILE_PATH = "./svqc/tests/test_metrics.txt" CRITERIA_FILE_PATH = "./svqc/tests/test_criteria.txt" EXPECTED_OUT_FILE_PATH = "./svqc/tests/test_out.txt" OUT_FILE_PATH = "./svqc/tests/test.out"

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null

0

4

47859ac78b34f39c7544b211356e5d8f939bb1c2

103

py

Python

Untitled Folder/lprint.py

UncleLincoln/trainee

eb9f4be00e80fddd0ab3d3e6ea9a20c55f5bcab8

[ "MIT" ]

36

2018-11-03T01:37:30.000Z

2019-04-07T19:52:34.000Z

Untitled Folder/lprint.py

UncleLincoln/trainee

eb9f4be00e80fddd0ab3d3e6ea9a20c55f5bcab8

[ "MIT" ]

8

2020-11-13T19:06:32.000Z

2022-01-13T03:24:20.000Z

Untitled Folder/lprint.py

BuErTech/trainee

eb9f4be00e80fddd0ab3d3e6ea9a20c55f5bcab8

[ "MIT" ]

86

2018-11-03T01:38:25.000Z

2019-04-07T05:55:02.000Z

def lprint(msg,*tuple): print(msg) if len(tuple)>1: for obj in tuple: print(obj) print("结束")

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47a521629f14b5bdf8a489d3e9dcb4756cec05f9

99

py

Python

dakara_server/internal/tests/models.py

DakaraProject/dakara-server

b28fc1a8561e431d562102932f3d6ff3607e545b

[ "MIT" ]

4

2018-07-24T18:22:16.000Z

2020-01-24T16:30:54.000Z

dakara_server/internal/tests/models.py

DakaraProject/dakara-server

b28fc1a8561e431d562102932f3d6ff3607e545b

[ "MIT" ]

88

2017-11-04T08:58:02.000Z

2022-03-30T11:39:08.000Z

dakara_server/internal/tests/models.py

DakaraProject/dakara-server

b28fc1a8561e431d562102932f3d6ff3607e545b

[ "MIT" ]

1

2018-05-05T15:37:20.000Z

from django.db import models class Reference(models.Model): """Dummy model used for tests"""

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47c6077686bbf5cc3aed31c161995338bad7532a

169

py

Python

collector/app/models/hdfs/hdfs_info.py

ndo04343/Container_based-Hadoop-Distributed-System-Log-Analyzer

884ea70c344023b10f0475fdc9d1640a6cf9a1e1

[ "MIT" ]

2

2021-07-30T03:11:01.000Z

2021-07-30T06:15:48.000Z

collector/app/models/hdfs/hdfs_info.py

ndo04343/container-based-hadoop-distributed-system-log-analyzer

884ea70c344023b10f0475fdc9d1640a6cf9a1e1

[ "MIT" ]

7

2021-08-11T12:47:32.000Z

2021-08-16T10:09:12.000Z

collector/app/models/hdfs/hdfs_info.py

ndo04343/container-based-hadoop-distributed-system-log-analyzer

884ea70c344023b10f0475fdc9d1640a6cf9a1e1

[ "MIT" ]

2

2021-08-17T07:58:56.000Z

2021-08-17T07:59:19.000Z

from pydantic import BaseModel class HdfsInfo(BaseModel): size: int used: int available: int usePercentage: int email: str datetime: str

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47cb5937cd43eb06270a6500740a3a232006b2d8

179

py

Python

build/sources/hook-tkinterweb.py

PlayerG9/MassFiles

63aa1c24109dcd9def9eb7691c337f1176731436

[ "MIT" ]

1

2021-06-28T12:35:09.000Z

build/sources/hook-tkinterweb.py

PlayerG9/MassFiles

63aa1c24109dcd9def9eb7691c337f1176731436

[ "MIT" ]

null

build/sources/hook-tkinterweb.py

PlayerG9/MassFiles

63aa1c24109dcd9def9eb7691c337f1176731436

[ "MIT" ]

null

"""pyinstaller hook file. """ from PyInstaller.utils.hooks import collect_data_files, eval_statement import os datas = collect_data_files('tkinterweb', include_py_files=True)

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7bd0864ebf0ccba4f864f3e5ea529e9c7962c012

448

py

Python

TSIS6/17.py

ayazhan112/python-

fba09ecc25e11dbfb116f273838b13174f66126d

[ "MIT" ]

null

TSIS6/17.py

ayazhan112/python-

fba09ecc25e11dbfb116f273838b13174f66126d

[ "MIT" ]

null

TSIS6/17.py

ayazhan112/python-

fba09ecc25e11dbfb116f273838b13174f66126d

[ "MIT" ]

null

def make_bold(fn): def wrapped(): return "" + fn() + "" return wrapped def make_italic(fn): def wrapped(): return "" + fn() + "" return wrapped def make_underline(fn): def wrapped(): return "" + fn() + "" return wrapped @make_bold @make_italic @make_underline def hello(): return "hello world" print(hello()) ## returns "hello world"

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7bdb9d47b5f46fe5d2092a9a68275c1bf49df377

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py

Python

tests/v2/test_service_update_data.py

anbnyc/datadog-api-client-python

162bd0c6f2523a809aec08a3197e85dc74b78c21

[ "Apache-2.0" ]

null

tests/v2/test_service_update_data.py

anbnyc/datadog-api-client-python

162bd0c6f2523a809aec08a3197e85dc74b78c21

[ "Apache-2.0" ]

null

tests/v2/test_service_update_data.py

anbnyc/datadog-api-client-python

162bd0c6f2523a809aec08a3197e85dc74b78c21

[ "Apache-2.0" ]

null

# coding: utf-8 # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. # This product includes software developed at Datadog (https://www.datadoghq.com/). # Copyright 2019-Present Datadog, Inc. import sys import unittest import datadog_api_client.v2 from datadog_api_client.v2.model.service_relationships import ServiceRelationships from datadog_api_client.v2.model.service_type import ServiceType from datadog_api_client.v2.model.service_update_attributes import ServiceUpdateAttributes globals()['ServiceRelationships'] = ServiceRelationships globals()['ServiceType'] = ServiceType globals()['ServiceUpdateAttributes'] = ServiceUpdateAttributes from datadog_api_client.v2.model.service_update_data import ServiceUpdateData class TestServiceUpdateData(unittest.TestCase): """ServiceUpdateData unit test stubs""" def setUp(self): pass def tearDown(self): pass def testServiceUpdateData(self): """Test ServiceUpdateData""" # FIXME: construct object with mandatory attributes with example values # model = ServiceUpdateData() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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py

Python

pygrading/exception.py

PhenomingZ/PyGrading

f6059c76d76c0f5bbc5dcda155fb6e454f980864

[ "Apache-2.0" ]

1

2020-01-20T15:23:09.000Z

pygrading/exception.py

PhenomingZ/PyGrading

f6059c76d76c0f5bbc5dcda155fb6e454f980864

[ "Apache-2.0" ]

null

pygrading/exception.py

PhenomingZ/PyGrading

f6059c76d76c0f5bbc5dcda155fb6e454f980864

[ "Apache-2.0" ]

null

""" Name: exception.py Author: Charles Zhang <694556046@qq.com> Propose: PyGrading exceptions Coding: UTF-8 """ class DataTypeError(Exception): pass class FunctionsTypeError(Exception): pass class FieldMissingError(Exception): pass class ExecError(Exception): pass class FunctionArgsError(Exception): pass

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py

Python

Code/Plot_Video_Reconstruction.py

karenadam/Asynchrony-Increases-Efficiency

d6398cc79a7ec4142cbbfe2a63b9b2748fad5e7a

[ "MIT" ]

1

2021-11-04T12:19:33.000Z

Code/Plot_Video_Reconstruction.py

karenadam/Asynchrony-Increases-Efficiency

d6398cc79a7ec4142cbbfe2a63b9b2748fad5e7a

[ "MIT" ]

null

Code/Plot_Video_Reconstruction.py

karenadam/Asynchrony-Increases-Efficiency

d6398cc79a7ec4142cbbfe2a63b9b2748fad5e7a

[ "MIT" ]

null

import matplotlib import matplotlib.pyplot as plt import pickle To_Svg = True if To_Svg: figure_spike_sweep = "n_spikes_sweep.svg" figure_tem_sweep ="n_tems_sweep.svg" plt.rc('text', usetex=False) plt.rc('text.latex', unicode = False) plt.rc('svg',fonttype = 'none') else: figure_spike_sweep = "n_spikes_sweep.png" figure_tem_sweep = "n_tems_sweep.png" clr = plt.rcParams["axes.prop_cycle"].by_key()["color"] def set_x_y_lims(): plt.xlim(3,36) plt.ylim(1e-14,10) pass plt.figure(figsize = (6,6)) plt.subplot(3,1,1) data_filename = "nspike_sweep_9x15_spacing.pkl" with open(data_filename, "rb") as f: # Python 3: open(..., 'wb') obj = pickle.load(f, encoding="latin1") n_spikes, error = obj plt.title("Mean-Squared Reconstruction Error") plt.plot(n_spikes-1.5, error) ax = plt.gca() ax.set_yscale("log") plt.axvline(6, color = clr[1], linewidth = 3) plt.axvline(6, linestyle = (0, (5,5)), color = clr[8], linewidth = 3) plt.ylabel("9x15 TEMs")#, rotation = 0, ha = 'right', va = 'center') set_x_y_lims() plt.subplot(3,1,2) data_filename = "nspike_sweep_9x9_spacing.pkl" with open(data_filename, "rb") as f: # Python 3: open(..., 'wb') obj = pickle.load(f, encoding="latin1") n_spikes, error = obj plt.plot(n_spikes-1.5, error) ax = plt.gca() ax.set_yscale("log") plt.axvline(9, color = clr[1], linewidth = 3) plt.axvline(9, linestyle = (0, (5,5)), color = clr[8], linewidth = 3) plt.ylabel("9x9 TEMs")#, rotation = 0, ha = 'right', va = 'center') set_x_y_lims() plt.subplot(3,1,3) data_filename = "nspike_sweep_9x5_spacing.pkl" with open(data_filename, "rb") as f: # Python 3: open(..., 'wb') obj = pickle.load(f, encoding="latin1") n_spikes, error = obj plt.plot(n_spikes-1.5, error) ax = plt.gca() ax.set_yscale("log") plt.axvline(17, linestyle = (0, (5,5)), color = clr[8], linewidth = 3) plt.ylabel("9x5 TEMs")#, rotation = 0, ha = 'right', va = 'center') plt.xlim(3, 36) plt.ylim(0.1,1) # print(plt.gca().get_yticks()) plt.gca().set_yticks([], minor = True) plt.gca().set_yticks([0.1,1], minor = False) print(plt.gca().get_yticks()) plt.xlabel("Number of Spikes per Machine") plt.tight_layout() plt.savefig(figure_spike_sweep) plt.figure(figsize = (6,6)) def set_x_y_lims(): plt.xlim(25,14*14) plt.ylim(1e-14,10) pass plt.subplot(3,1,1) data_filename = "ntem_sweep_9_5_spikes.pkl" with open(data_filename, "rb") as f: # Python 3: open(..., 'wb') obj = pickle.load(f, encoding="latin1") n_tems, error = obj plt.title("Mean-Squared Reconstruction Error") plt.plot([n_t**2 for n_t in n_tems], error) ax = plt.gca() ax.set_yscale("log") plt.axvline(169, color = clr[1], linewidth = 3) plt.axvline(169, linestyle = (0, (5,5)), color = clr[8], linewidth = 3) yl = plt.ylabel("8 spikes\n per TEM")#, ha = 'right', va = 'center') set_x_y_lims() plt.subplot(3,1,2) data_filename = "ntem_sweep_9_9_spikes.pkl" with open(data_filename, "rb") as f: # Python 3: open(..., 'wb') obj = pickle.load(f, encoding="latin1") n_tems, error = obj plt.plot([n_t**2 for n_t in n_tems], error) ax = plt.gca() ax.set_yscale("log") plt.axvline(81, color = clr[1], linewidth = 3) plt.axvline(81, linestyle = (0, (5,5)), color = clr[8], linewidth = 3) yl = plt.ylabel("15 spikes\n per TEM")#, rotation = 0, ha = 'right', va = 'center') set_x_y_lims() plt.subplot(3,1,3) data_filename = "ntem_sweep_9_15_spikes.pkl" with open(data_filename, "rb") as f: # Python 3: open(..., 'wb') obj = pickle.load(f, encoding="latin1") n_tems, error = obj plt.plot([n_t**2 for n_t in n_tems], error) ax = plt.gca() ax.set_yscale("log") plt.axvline(81, color = clr[1], linewidth = 3) plt.axvline(49, linestyle = (0, (5,5)), color = clr[8], linewidth = 3) yl = plt.ylabel("25 spikes\n per TEM")#, rotation = 0, ha = 'right', va = 'center') # plt.xlim(25,15*15) plt.xlabel("Number of TEMs") set_x_y_lims() plt.tight_layout() plt.savefig(figure_tem_sweep)

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281

py

Python

paddlennunet/experiment_planning/utils.py

szuboy/nnUNet-paddle

93c38ac3f038cd5dcbc8bff378e9b49431252157

[ "Apache-2.0" ]

3

2021-05-18T14:06:48.000Z

2021-09-25T13:57:40.000Z

paddlennunet/experiment_planning/utils.py

szuboy/paddle-nnUNet

93c38ac3f038cd5dcbc8bff378e9b49431252157

[ "Apache-2.0" ]

null

paddlennunet/experiment_planning/utils.py

szuboy/paddle-nnUNet

93c38ac3f038cd5dcbc8bff378e9b49431252157

[ "Apache-2.0" ]

null

# !/usr/bin/env python # -*- coding:utf-8 -*- # author: jeremy.zhang(szujeremy@gmail.com, Shenzhen University, China) import json import os import pickle import shutil from collections import OrderedDict from multiprocessing import Pool import numpy as np def crop(): pass

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py

Python

mmseg/models/__init__.py

vietawake/mmSegmentation

1f643d6d81708ebf5726c48f66d02c70fe99fe00

[ "Apache-2.0" ]

null

mmseg/models/__init__.py

vietawake/mmSegmentation

1f643d6d81708ebf5726c48f66d02c70fe99fe00

[ "Apache-2.0" ]

null

mmseg/models/__init__.py

vietawake/mmSegmentation

1f643d6d81708ebf5726c48f66d02c70fe99fe00

[ "Apache-2.0" ]

null

from .backbones import * # noqa: F401,F403 from .builder import (BACKBONES, HEADS, LOSSES, SEGMENTORS, build_backbone, build_head, build_loss, build_segmentor) from .decode_heads import * # noqa: F401,F403 from .losses import * # noqa: F401,F403 from .necks import * # noqa: F401,F403 from .segmentors import * # noqa: F401,F403 __all__ = [ 'BACKBONES', 'HEADS', 'LOSSES', 'SEGMENTORS', 'build_backbone', 'build_head', 'build_loss', 'build_segmentor' ]

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d07b93a020d9d92e30d20c71b5a342df9bb83cd5

150

py

Python

ToDoApp/frontend/views.py

amitkakde007/To-Do-App

a991d74fa7d38b2037d66521f41cd4dc4bccaf44

[ "MIT" ]

null

ToDoApp/frontend/views.py

amitkakde007/To-Do-App

a991d74fa7d38b2037d66521f41cd4dc4bccaf44

[ "MIT" ]

null

ToDoApp/frontend/views.py

amitkakde007/To-Do-App

a991d74fa7d38b2037d66521f41cd4dc4bccaf44

[ "MIT" ]

null

from django.shortcuts import render # Local Import # Create your views here. def Home(request): return render(request, 'frontend/home.html')

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null

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1

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1

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4

d092c268a4c03f17bf8b911f1d5bb2dab283140a

1,180

py

Python

setup.py

cr3/lookuper

5e2d0520ad3f78b2c2623f0e9b46390c18edef46

[ "MIT" ]

null

setup.py

cr3/lookuper

5e2d0520ad3f78b2c2623f0e9b46390c18edef46

[ "MIT" ]

null

setup.py

cr3/lookuper

5e2d0520ad3f78b2c2623f0e9b46390c18edef46

[ "MIT" ]

null

from setuptools import ( setup, find_packages, ) setup( name='lookuper', use_scm_version=True, description='Lookup nested data structures', long_description=open('README.rst').read(), url='https://github.com/cr3/lookuper', author='Marc Tardif', author_email='marc@interunion.ca', setup_requires=['setuptools_scm'], packages=find_packages(where='src'), package_dir={'': 'src'}, license='MIT', keywords='lookup nested', classifiers=[ 'Development Status :: 4 - Beta', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', 'Programming Language :: Python :: Implementation :: CPython', 'Programming Language :: Python :: Implementation :: PyPy', 'Topic :: Software Development :: Libraries :: Python Modules', ], )

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null

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null

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4

d098e2739c70f7f28b811a22b6e1996d8bde15cc

608

py

Python

References/Geovana Neves/TCC_Geovana_Neves_GitHub/SUAVE_modifications/SUAVE-feature-constant_throttle_EAS/trunk/SUAVE/Attributes/Airports/Runway.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

References/Geovana Neves/TCC_Geovana_Neves_GitHub/SUAVE_modifications/SUAVE-feature-constant_throttle_EAS/trunk/SUAVE/Attributes/Airports/Runway.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

References/Geovana Neves/TCC_Geovana_Neves_GitHub/SUAVE_modifications/SUAVE-feature-constant_throttle_EAS/trunk/SUAVE/Attributes/Airports/Runway.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

#Runway.py # # Created: Mar, 2014, SUAVE Team # Modified: Jan, 2016, M. Vegh # ---------------------------------------------------------------------- # Imports # ---------------------------------------------------------------------- from SUAVE.Core import Data # ---------------------------------------------------------------------- # Runway Data Class # ---------------------------------------------------------------------- class Runway(Data): """ SUAVE.Attributes.Airport.Runway Data object used to hold runway data """ def __defaults__(self): self.tag = 'Runway'

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d0ac0d3566aaeccd65d41744aa078ed37fee0d6c

346,286

py

Python

3algo/homo/3_3_7datap.py

allengrr/deadlock_project

933878077c45a7df04daa087407bb2620c064617

[ "MIT" ]

null

3algo/homo/3_3_7datap.py

allengrr/deadlock_project

933878077c45a7df04daa087407bb2620c064617

[ "MIT" ]

null

3algo/homo/3_3_7datap.py

allengrr/deadlock_project

933878077c45a7df04daa087407bb2620c064617

[ "MIT" ]

1

2021-03-21T17:54:26.000Z

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2.3, 1.5, 0.7, 1.1, 0.3, 0.2, 1.3, 1.9, 0.4, 0.2, 0.3, 0.2, 1.7, 0.5, 0.8, 0.3, 0.6, 1.3, 1.7, 0.3, 0.7, 0.4, 1.8, 2.6, 0.4, 2.1, 3.5, 0.9, 0.3, 2.2, 2.2, 1.4, 0.9, 0.4, 0.2, 0.4, 0.6, 0.2, 1.1, 0.4, 1.4, 0.6, 1.1, 3.0, 2.1, 1.1, 0.9, 0.3, 0.8, 0.4, 0.4, 0.4, 1.1, 5.6, 6.6, 0.4, 1.4, 1.2, 0.4, 1.0, 3.2, 2.1, 0.9, 1.3, 2.0, 0.3, 0.5, 0.3, 0.4, 0.8, 1.2, 0.3, 0.4, 1.6, 1.1, 1.3, 0.4, 0.0, 0.2, 0.0, 1.7, 0.1, 1.4, 1.7, 0.3, 0.6, 3.1, 2.7, 0.1, 1.1, 0.3, 1.1, 0.3, 0.7, 0.2, 1.3, 0.3, 1.0, 0.6, 0.8, 2.6, 3.5, 0.6, 1.3, 0.6, 1.8, 1.9, 2.1, 1.1, 1.5, 1.6, 1.1, 1.0, 0.1, 0.5, 0.3, 2.3, 2.6, 1.2, 2.2, 0.5, 0.1, 0.2, 9.5, 12.4, 3.4, 0.7, 4.0, 0.7, 3.0, 0.7, 1.6, 0.5, 4.1, 0.5, 0.1, 1.2, 1.1, 0.9, 2.1, 1.5, 1.6, 2.0, 0.1, 1.1, 1.2, 2.0, 1.3, 2.4, 2.0, 0.0, 0.9, 2.0, 2.7, 1.3, 1.6, 1.9, 0.8, 0.1, 0.3, 1.4, 1.8, 3.0, 1.5, 0.5, 0.1, 0.4] off_mec3_3_7 = 369 off_cloud3_3_7 = 403 inward_mec3_3_7 = 510 loc3_3_7 = 530 deadlock3_3_7 = [6] memory3_3_7 = [0.2178, 0.2181, 0.2183, 0.2184, 0.2185, 0.2186, 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0.2229, 0.2229, 0.2229, 0.223, 0.2231, 0.2232, 0.2232, 0.2232, 0.2233, 0.2233, 0.2233, 0.2233, 0.2233, 0.2233, 0.2233, 0.2233, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2234, 0.2235, 0.2236, 0.2236, 0.2237, 0.2237, 0.2237, 0.2237, 0.2238, 0.2238, 0.2238, 0.2238, 0.2238, 0.2239, 0.2239, 0.2239, 0.2239, 0.2239, 0.2239, 0.2239, 0.2239, 0.224, 0.224, 0.2241, 0.2241, 0.2242, 0.2242, 0.2242, 0.2242, 0.2242, 0.2242, 0.2242, 0.2242, 0.2242, 0.2243, 0.2243, 0.2243, 0.2243, 0.2244, 0.2244, 0.2244, 0.2244, 0.2245, 0.2245, 0.2245, 0.2245, 0.2246, 0.2246, 0.2246, 0.2246, 0.225, 0.225, 0.225, 0.225, 0.225, 0.225, 0.225, 0.225, 0.225, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2252, 0.2253, 0.2253, 0.2253, 0.2254, 0.2254, 0.2254, 0.2254, 0.2254, 0.2255, 0.2256, 0.2256, 0.2256, 0.2256, 0.2256, 0.2256, 0.2256, 0.2256, 0.2256, 0.2258, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2259, 0.2264, 0.2264, 0.2264, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2265, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2266, 0.2267, 0.2267, 0.2267, 0.2267, 0.2267, 0.2267, 0.2268, 0.2268, 0.2268, 0.2268, 0.2268, 0.2269, 0.2269, 0.2269, 0.2269, 0.2269, 0.2269, 0.2269, 0.2269, 0.2269, 0.227, 0.227, 0.227, 0.2272, 0.2273, 0.2273, 0.2273, 0.2273, 0.2275, 0.2275, 0.2275, 0.2275, 0.2275, 0.2275, 0.2275, 0.2276, 0.2276, 0.2277, 0.2277, 0.2277, 0.2277, 0.2277, 0.2277, 0.2278, 0.2278, 0.2278, 0.2278, 0.2278, 0.2278, 0.2279, 0.2279, 0.2279, 0.2279, 0.2279, 0.2279, 0.2279, 0.2279, 0.2279, 0.228, 0.228, 0.228, 0.228, 0.228, 0.2281, 0.2281, 0.2281, 0.2281, 0.2282, 0.2282, 0.2283, 0.2283, 0.2285, 0.2286, 0.2286, 0.2286] task_received3_3_7 = 1302 sent_t3_3_7 = {'124': 424, '126': 477, '125': 400} cooperate3_3_7 = {'mec': 368, 'cloud': 403} task_record3_3_7 = {'t3.113.124.781.655': 'mec'} outward_mec3_3_7 = 67 offload_check3_3_7 = [] timed_out_tasks3_3_7 = 0

20,369.764706

322,873

0.621758

87,298

346,286

2.465853

0.074229

0.001533

0.00184

0.000743

0.636256

0.296938

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322,874

20,369.764706

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null

0

1

0

1

0

null

0

4

d0ae9bc05b62562e6fd0e50cbc3bd6ab8335180c

101

py

Python

backend/fields_by_risk/apps.py

idanwekhai/Prodcut-Development-Hiring-Project

2616bbcbc69b283f16a208a61f2bff49ae84ad9d

[ "MIT" ]

2

2021-12-26T16:50:21.000Z

2022-02-17T16:51:16.000Z

backend/fields_by_risk/apps.py

idanwekhai/Prodcut-Development-Hiring-Project

2616bbcbc69b283f16a208a61f2bff49ae84ad9d

[ "MIT" ]

12

2020-02-11T23:24:17.000Z

2022-02-26T13:33:59.000Z

backend/fields_by_risk/apps.py

idanwekhai/Product-Development-Hiring-Project

2616bbcbc69b283f16a208a61f2bff49ae84ad9d

[ "MIT" ]

4

2018-12-22T20:39:00.000Z

2021-09-12T21:14:21.000Z

from django.apps import AppConfig class FieldsByRiskConfig(AppConfig): name = 'fields_by_risk'

16.833333

36

0.782178

12

101

6.416667

0.916667

0

0.148515

101

5

37

20.2

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0

0.138614

0

1

0

false

0

0.333333

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1

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1

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null

0

1

0

null

0

1

0

1

0

4

ef7bdf9d8d04db98c420901e3d908329a1d47305

223

py

Python

aoc_solver/lang/python.py

tcollier/aoc_solver

de63dbebd323d8a46deeab1f7fc45d20f70cfdae

[ "MIT" ]

2

2021-12-14T18:13:16.000Z

2021-12-14T18:42:45.000Z

aoc_solver/lang/python.py

tcollier/aoc_solver

de63dbebd323d8a46deeab1f7fc45d20f70cfdae

[ "MIT" ]

null

aoc_solver/lang/python.py

tcollier/aoc_solver

de63dbebd323d8a46deeab1f7fc45d20f70cfdae

[ "MIT" ]

null

from aoc_solver.lang.registry import LanguageSettings, register_language @register_language(name="python", extension="py") class PythonSettings(LanguageSettings): def solve(self): return f"python {self.file}"

27.875

72

0.766816

26

223

6.461538

0.807692

0.190476

0

0.125561

223

7

73

31.857143

0.861538

0

0.116592

0

1

0.2

false

0

0.2

0.8

0

1

0

null

0

1

0

null

0

1

0

4

ef8e2b125b7b26bc84d2f03bc1062f62d6b810e2

148

py

Python

elf/types/section/types/gnu_hash_section.py

Valmarelox/elftoolsng

99c3f4913a7e477007b1d81df83274d7657bf693

[ "MIT" ]

null

elf/types/section/types/gnu_hash_section.py

Valmarelox/elftoolsng

99c3f4913a7e477007b1d81df83274d7657bf693

[ "MIT" ]

null

elf/types/section/types/gnu_hash_section.py

Valmarelox/elftoolsng

99c3f4913a7e477007b1d81df83274d7657bf693

[ "MIT" ]

null

from elf.types.section.header import SHType from .section_base import ElfSection class GnuHashSection(ElfSection): TYPE = SHType.SHT_GNU_HASH

21.142857

43

0.810811

20

148

5.85

0.75

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148

6

44

24.666667

0.906977

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1

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false

0

0.5

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

4

ef9235f2ee57bc787958bbc318870e50cc9a5ed6

204

py

Python

users/serializers.py

Radhesh-Sarma/Resource-Sharing-Portal

b9754ba4a6a49a523ad3f31309cfce83ac45bd28

[ "MIT" ]

null

users/serializers.py

Radhesh-Sarma/Resource-Sharing-Portal

b9754ba4a6a49a523ad3f31309cfce83ac45bd28

[ "MIT" ]

null

users/serializers.py

Radhesh-Sarma/Resource-Sharing-Portal

b9754ba4a6a49a523ad3f31309cfce83ac45bd28

[ "MIT" ]

null

from rest_framework import serializers from .models import CustomUser class UserSerializer(serializers.ModelSerializer): class Meta: model = CustomUser fields = ('mobile_number','address','email')

22.666667

50

0.789216

22

204

7.227273

0.772727

0

0.122549

204

8

51

25.5

0.888268

0

0.123153

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ef9645f3e5d1b6ae88ed9a23243084d30e250d93

2,288

py

Python

test_file01.py

MichaelWiciak/PythonUnitTest

d74242004de75532e6baafcbd5669ba4cf906d7b

[ "MIT" ]

null

test_file01.py

MichaelWiciak/PythonUnitTest

d74242004de75532e6baafcbd5669ba4cf906d7b

[ "MIT" ]

null

test_file01.py

MichaelWiciak/PythonUnitTest

d74242004de75532e6baafcbd5669ba4cf906d7b

[ "MIT" ]

null

import unittest import file01 as file class TestBasicCalculation(unittest.TestCase): def test_check_key(self): self.assertEqual(file.check_key(-1), False) self.assertEqual(file.check_key(0), True) self.assertEqual(file.check_key(1), True) self.assertEqual(file.check_key(50), True) self.assertEqual(file.check_key(94), True) self.assertEqual(file.check_key(95), False) self.assertEqual(file.check_key('a'), False) def test_check_upper_lower(self): self.assertEqual(file.check_upper_lower("The quick Brown Fox!"), [3, 13]) self.assertEqual(file.check_upper_lower("Khoor#Zruog#=,"), [2, 8]) self.assertEqual(file.check_upper_lower("012345"), [0, 0]) def test_encrypt_decrypt_string(self): self.assertEqual(file.encrypt_decrypt_string("Hello World :)"), "Khoor#Zruog#=,") self.assertEqual(file.encrypt_decrypt_string("Khoor#Zruog#=,", 3, 2), "Hello World :)") self.assertEqual(file.encrypt_decrypt_string("Khoor#Zruog#=,", option=2), "Hello World :)") self.assertEqual(file.encrypt_decrypt_string("Hello World :)", key=100), "Invalid key!") self.assertEqual(file.encrypt_decrypt_string("Hello World :)", option=4), "Invalid option!") def test_count_words_in_file(self): self.assertEqual(file.count_words_in_file("test1.txt"), {'HELLO': 1, 'WORLD': 2, 'HOW': 1, 'ARE': 1, 'YOU': 1, 'DOING': 1, 'I': 1, 'LOVE': 1, 'THIS': 1}) self.assertEqual(file.count_words_in_file("test2.txt"), {'TEST': 3, 'ONE': 2, 'TWO': 1, 'THREE': 1}) self.assertEqual(file.count_words_in_file("test3.txt"), "Wrong file or file path") def test_summarise_data(self): self.assertEqual(file.summarise_data("traffic_data.txt", 0), [13096, 6493, 471876, 50, 9437.52]) self.assertEqual(file.summarise_data("traffic_data.txt", 1), [11799, 5778, 421298, 50, 8425.96]) self.assertEqual(file.summarise_data("population_10.txt", 5), [1371851, 1730, 3327840, 34, 97877.65]) self.assertEqual(file.summarise_data("population_10.txt", 6), [1425791, 1878, 4274491, 38, 112486.61]) self.assertRaises(FileNotFoundError, file.summarise_data, "filenotexist.txt", 0) if __name__== "__main__": unittest.main()

52

161

0.673951

309

2,288

4.786408

0.320388

0.223124

0.282623

0.162272

0.59973

0.59432

0.378634

0.35497

0.067613

0

0.081899

0.16215

2,288

44

162

52

0.689619

0

0.160769

0

0.69697

1

0.151515

false

0

0.060606

0

0.242424

0

null

1

0

null

0

1

0

4

eff36919af002886d4153edbcc121f53d9221504

87

py

Python

pokus2/apps.py

zvolsky/example_translation

37a8e71df6bdc12dda96b9e84b5c1bb7a16087dc

[ "MIT" ]

null

pokus2/apps.py

zvolsky/example_translation

37a8e71df6bdc12dda96b9e84b5c1bb7a16087dc

[ "MIT" ]

null

pokus2/apps.py

zvolsky/example_translation

37a8e71df6bdc12dda96b9e84b5c1bb7a16087dc

[ "MIT" ]

null

from django.apps import AppConfig class Pokus2Config(AppConfig): name = 'pokus2'

14.5

33

0.747126

10

87

6.5

0.9

0

0.027778

0.172414

87

5

34

17.4

0.875

0

0.068966

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

ef353910b2bf982e61fa1ba6a32ae6bb17604926

1,089

py

Python

test/test_phones.py

romanovaes/python_training

5df3a9b716e7659fb8f61e0b55e5217cc6a1a89e

[ "Apache-2.0" ]

null

test/test_phones.py

romanovaes/python_training

5df3a9b716e7659fb8f61e0b55e5217cc6a1a89e

[ "Apache-2.0" ]

null

test/test_phones.py

romanovaes/python_training

5df3a9b716e7659fb8f61e0b55e5217cc6a1a89e

[ "Apache-2.0" ]

null

import re def test_phones_on_home_page(app): contact_from_home_page=app.contact.get_contact_list()[0] contact_from_edit_page=app.contact.get_contact_info_from_edit_page(0) assert contact_from_home_page.all_phones_from_home_page==merge_phone_like_on_home_page(contact_from_edit_page) def test_phones_on_view_page(app): contact_from_view_page=app.contact.get_contact_list_from_view_page(0) contact_from_edit_page=app.contact.get_contact_info_from_edit_page(0) assert contact_from_view_page.home==contact_from_edit_page.home assert contact_from_view_page.mobile==contact_from_edit_page.mobile assert contact_from_view_page.work==contact_from_edit_page.work assert contact_from_view_page.phone2==contact_from_edit_page.phone2 def clear(s): return re.sub("[() -]", "", s) def merge_phone_like_on_home_page(contact): return "\n".join(filter(lambda x: x!= "", (map(lambda x:clear(x), filter(lambda x: x is not None, [contact.home, contact.mobile, contact.work, contact.phone2])))))

45.375

132

0.757576

171

1,089

4.350877

0.222222

0.206989

0.145161

0.178763

0.469086

0.357527

0.282258

0.198925

0

0.007535

0.146924

1,089

23

133

47.347826

0.793326

0

0.111111

0

0.007346

0

0.277778

1

0.222222

false

0

0.055556

0.111111

0.388889

0

null

1

0

1

0

null

0

1

0

1

0

4

ef4cbb9f321ddcd99df722ab94889e966ce7b496

201

py

Python

lms/lmstests/sandbox/__init__.py

ellenc345/lms

b933e445efbc49532e7ceeeac05666d0b191a502

[ "BSD-3-Clause" ]

85

2020-03-21T18:52:57.000Z

2022-03-22T06:33:38.000Z

lms/lmstests/sandbox/__init__.py

ellenc345/lms

b933e445efbc49532e7ceeeac05666d0b191a502

[ "BSD-3-Clause" ]

210

2020-03-21T22:44:57.000Z

2022-01-06T22:47:50.000Z

lms/lmstests/sandbox/__init__.py

ellenc345/lms

b933e445efbc49532e7ceeeac05666d0b191a502

[ "BSD-3-Clause" ]

27

2020-03-31T13:57:33.000Z

2022-03-06T15:57:32.000Z

from lms.lmstests.sandbox.config import celery as celery_config from lms.lmstests.sandbox.linters import tasks as flake8_tasks celery_app = celery_config.app __all__ = ('flake8_tasks', 'celery_app')

28.714286

63

0.81592

30

201

5.133333

0.433333

0.090909

0.194805

0.285714

0

0.011111

0.104478

201

6

64

33.5

0.844444

0

0.109453

0

1

0

false

0

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

4

ef59a6a3ef0bbbbe6d2f150ad895c0dea234fb57

241

py

Python

forms/reviewForm.py

cristinacorghi/BeautyProject

c33c280bd7bb3ef40e3a920f52af37ee8ffd68fa

[ "MIT" ]

null

forms/reviewForm.py

cristinacorghi/BeautyProject

c33c280bd7bb3ef40e3a920f52af37ee8ffd68fa

[ "MIT" ]

null

forms/reviewForm.py

cristinacorghi/BeautyProject

c33c280bd7bb3ef40e3a920f52af37ee8ffd68fa

[ "MIT" ]

null

from django import forms from Store.models.productModel import ProductReviewModel class ReviewForm(forms.ModelForm): class Meta: model = ProductReviewModel fields = ('product', 'user', 'content', 'stars', 'date_added')

26.777778

70

0.713693

25

241

6.84

0.8

0

0.182573

241

8

71

30.125

0.86802

0

0.136929

0

1

0

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3233a55b65cbe76899f546a8fa7c9d99e1522ecd

896

py

Python

configs/dev/__init__.py

ajaniv/django-contacts

863823a3f0ece4cdf702872225d98c93571c1dbf

[ "MIT" ]

null

configs/dev/__init__.py

ajaniv/django-contacts

863823a3f0ece4cdf702872225d98c93571c1dbf

[ "MIT" ]

4

2016-05-11T17:55:01.000Z

2017-06-30T20:40:28.000Z

configs/dev/__init__.py

ajaniv/django-contacts

863823a3f0ece4cdf702872225d98c93571c1dbf

[ "MIT" ]

null

""" .. module:: config.dev :synopsis: Django dev environment settings file. Django dev environment settings file. """ import os from configs.common.root import * # @UnusedWildImport from configs.common.django import * # @UnusedWildImport from configs.common.log import * # @UnusedWildImport from configs.common.database import * # @UnusedWildImport from configs.common.permissions import * # @UnusedWildImport from configs.common.rest_framework import * # @UnusedWildImport # @TODO: revisit usage of django_extensions only in dev # and not in the context of tox testing ENV_TOX_CONTEXT = 'TOX_CONTEXT' if not os.getenv(ENV_TOX_CONTEXT, False): INSTALLED_APPS += ["django_extensions"] # @TODO: revisit approach to allowed hosts; would require changes for different # docker machine configurations if DEBUG: ALLOWED_HOSTS = ['localhost', '127.0.0.1', '192.168.99.100']

34.461538

79

0.754464

114

896

5.842105

0.526316

0.099099

0.153153

0.247748

0.388889

0

0.02231

0.149554

896

25

80

35.84

0.851706

0.479911

0

0.133929

0

0.04

0

1

0

false

0

0.583333

0

0.583333

0

null

0

1

0

null

0

1

0

1

0

1

0

4

3242820aeaa666bb10b381d5706b9725ded2637c

123

py

Python

ZeroJudge/b758.py

EmmettTsai/OnlineJudge

e8736ad18b4aa12fafeba7f87a61868b826b5b6a

[ "MIT" ]

null

ZeroJudge/b758.py

EmmettTsai/OnlineJudge

e8736ad18b4aa12fafeba7f87a61868b826b5b6a

[ "MIT" ]

null

ZeroJudge/b758.py

EmmettTsai/OnlineJudge

e8736ad18b4aa12fafeba7f87a61868b826b5b6a

[ "MIT" ]

null

X, Y = map(int, input().split()) X += 2 if Y >= 30: X += 1 Y -= 30 else: Y += 30 X %= 24 print('%02d:%02d' % (X, Y))

12.3

32

0.430894

25

123

2.12

0.56

0.169811

0.150943

0

0.159091

0.284553

123

9

33

13.666667

0.443182

0

0.073171

0

1

0

true

0

0.111111

1

0

null

0

1

0

1

0

null

0

1

0

4

3245d35c3dea3bf08dc32ff005d40faa2c785da3

128

py

Python

clean_compileds/Removing_Files_Interface.py

danilocgsilva/clean_compilleds

015e3f05f2d8be7f254f7d1766293fc69b887173

[ "MIT" ]

null

clean_compileds/Removing_Files_Interface.py

danilocgsilva/clean_compilleds

015e3f05f2d8be7f254f7d1766293fc69b887173

[ "MIT" ]

null

clean_compileds/Removing_Files_Interface.py

danilocgsilva/clean_compilleds

015e3f05f2d8be7f254f7d1766293fc69b887173

[ "MIT" ]

null

import abc class Removing_Files_Interface(abc.ABC): @abc.abstractmethod def get_file_list(self) -> list: pass

16

40

0.695313

17

128

5

0.764706

0.141176

0

0.21875

128

7

41

18.285714

0.85

0

1

0.2

false

0.2

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

32515a3668e3010c8b2ef1a88d739d6553fc65de

564

py

Python

mega/match/values/null.py

felipead/sqs-mega-python

82da3b1650a891336c13c80648edda3d3d2967de

[ "MIT" ]

null

mega/match/values/null.py

felipead/sqs-mega-python

82da3b1650a891336c13c80648edda3d3d2967de

[ "MIT" ]

1

2020-05-19T18:57:05.000Z

mega/match/values/null.py

mega-distributed/sqs-mega-python

82da3b1650a891336c13c80648edda3d3d2967de

[ "MIT" ]

null

from mega.match.values.value import Value class Null(Value): def __init__(self): super().__init__(None) @classmethod def accepts_rhs(cls, rhs) -> bool: return rhs is None @classmethod def _accepts_lhs(cls, lhs, function_type) -> bool: return True def _needs_casting(self, value, function_type=None): return False def _cast(self, value, function_type=None, reference_value=None): pass def _equal(self, lhs): return lhs is None def _match(self, lhs): return not lhs

20.888889

69

0.638298

74

564

4.594595

0.432432

0.105882

0.147059

0

0.271277

564

26

70

21.692308

0.827251

0

0.111111

0

1

0.388889

false

0.055556

0.277778

0.777778

0

null

0

null

0

1

0

1

0

1

0

4

3256e9e1cac593fadb84a40a61b11cd461cfe832

33

py

Python

tools/__init__.py

IATI/new-website

b90783e32d19ac4c821c5ea018a52997a11b5286

[ "MIT" ]

4

2019-03-28T06:42:17.000Z

2021-06-06T13:10:51.000Z

tools/__init__.py

IATI/new-website

b90783e32d19ac4c821c5ea018a52997a11b5286

[ "MIT" ]

177

2018-09-28T14:21:56.000Z

2022-03-30T21:45:26.000Z

tools/__init__.py

IATI/new-website

b90783e32d19ac4c821c5ea018a52997a11b5286

[ "MIT" ]

8

2018-10-25T20:43:10.000Z

2022-03-17T14:19:27.000Z

"""Package for the tools app."""

16.5

32

0.636364

5

33

4.2

1

0

0.151515

33

1

33

0.75

0.787879

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

328b04ca7fef1eed8c1a398235ba9824c16e9d91

215

py

Python

arggo/types/enums.py

mikimn/arggo

79d7b0e7c391e9e1e8cf4621db95382ad9fd074e

[ "MIT" ]

2

2021-05-26T17:29:50.000Z

2021-05-29T10:19:10.000Z

arggo/types/enums.py

mikimn/arggo

79d7b0e7c391e9e1e8cf4621db95382ad9fd074e

[ "MIT" ]

10

2021-03-12T14:33:34.000Z

2021-05-23T14:48:45.000Z

arggo/types/enums.py

mikimn/arggo

79d7b0e7c391e9e1e8cf4621db95382ad9fd074e

[ "MIT" ]

1

2021-09-22T18:03:29.000Z

import json from enum import Enum class EnumEncoder(json.JSONEncoder): def default(self, obj): if isinstance(obj, Enum): return obj.value return json.JSONEncoder.default(self, obj)

21.5

50

0.669767

27

215

5.333333

0.555556

0.208333

0.194444

0

0.246512

215

9

51

23.888889

0.888889

0

1

0.142857

false

0

0.285714

0

0.857143

0

1

0

null

1

0

1

0

null

0

4

0870b402a6bbaa4b5e479df5cf5ee4e85e22d5b5

151

py

Python

dashboard/source/dashboard/__init__.py

mueller-stephan/car-classification

6b620091e071535ea112a6e19c1d15de21dadbd1

[ "MIT" ]

2

2020-03-21T19:26:39.000Z

2021-06-14T18:45:10.000Z

dashboard/source/dashboard/__init__.py

fabianmax/car-classification

2c32a57b0404c2da6c341a6f496c9912fbd19b50

[ "MIT" ]

null

dashboard/source/dashboard/__init__.py

fabianmax/car-classification

2c32a57b0404c2da6c341a6f496c9912fbd19b50

[ "MIT" ]

5

2020-02-26T13:35:23.000Z

2022-03-11T20:05:34.000Z

from .layout import attempt, finish_page, main_layout, result, start_page __all__ = ['main_layout', 'attempt', 'result', 'start_page', 'finish_page']

37.75

75

0.748344

20

151

5.15

0.5

0.194175

0.291262

0

0.10596

151

3

76

50.333333

0.762963

0

0.298013

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

0871bbc42052d9f5d8c6e9c12e91172b379a1209

305

py

Python

test-django-project/tests/client/test_client.py

rhenter/django-api-client

c113a94b292ffbc14e2da589dd9fde61f068dd7f

[ "MIT" ]

15

2020-07-25T12:07:14.000Z

2021-04-27T14:32:05.000Z

test-django-project/tests/client/test_client.py

rhenter/django-api-client

c113a94b292ffbc14e2da589dd9fde61f068dd7f

[ "MIT" ]

null

test-django-project/tests/client/test_client.py

rhenter/django-api-client

c113a94b292ffbc14e2da589dd9fde61f068dd7f

[ "MIT" ]

2

2021-04-27T14:32:11.000Z

2021-06-11T19:03:18.000Z

import pytest from django_api_client.client import api_client_factory from django_api_client.client.exceptions import APINotFound def test_get_api_name_error(): with pytest.raises(APINotFound) as error: api_client_factory('CRAZY NAME') assert str(error.value) == "API name Not Found."

25.416667

59

0.780328

44

305

5.136364

0.522727

0.159292

0.115044

0.168142

0.221239

0

0.147541

305

11

60

27.727273

0.869231

0

0.095082

0

0.142857

1

0.142857

true

0

0.428571

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

4

08a56d08d2d84f45139ae5c44329b63e5df6194e

63

py

Python

downtoearth/__init__.py

defond0/downtoearth

4a77ab8cf0e7b8ba7c0ad7f630baf45ed6d5c806

[ "Apache-2.0" ]

22

2017-01-30T22:09:29.000Z

2021-02-16T07:40:00.000Z

downtoearth/__init__.py

defond0/downtoearth

4a77ab8cf0e7b8ba7c0ad7f630baf45ed6d5c806

[ "Apache-2.0" ]

5

2017-02-06T18:01:53.000Z

2017-11-15T20:12:36.000Z

downtoearth/__init__.py

defond0/downtoearth

4a77ab8cf0e7b8ba7c0ad7f630baf45ed6d5c806

[ "Apache-2.0" ]

6

2017-01-31T06:47:13.000Z

2017-06-28T19:08:12.000Z

from downtoearth.version import VERSION __version__ = VERSION

15.75

39

0.84127

7

63

7

0.571429

0

0.126984

63

3

40

21

0.890909

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

08ea34dcc985237a3017c5f0f9e1ab948550cd9a

3,222

py

Python

test/formatter_test.py

nathan5280/callable-journal

d815f2e029b3af53f9631b6a7672c0faec16be0e

[ "MIT" ]

1

2020-10-21T20:56:35.000Z

test/formatter_test.py

nathan5280/callable-journal

d815f2e029b3af53f9631b6a7672c0faec16be0e

[ "MIT" ]

null

test/formatter_test.py

nathan5280/callable-journal

d815f2e029b3af53f9631b6a7672c0faec16be0e

[ "MIT" ]

null

import json from logging import Logger from ndl_tools import Differ from callable_journal.encoders import ObjectDictEncoder from callable_journal.formatter import JournalFormatter from callable_journal.journal import JournalContent journal_content = JournalContent( context=dict( context=dict( service_ctx=dict(name="Test Service", version="0.1.0"), implementation_ctx=dict(name="Base Implementation", version="0.1.0"), ) ), objective="formatting", arguments={"a": 10, "b": 20}, results={"c": 200}, exception=None, ) def test_json_formatter(): formatter = JournalFormatter( tag="JOURNAL_MSG_JSON", format_mode="json", encoder=ObjectDictEncoder ) record = Logger("test_logger").makeRecord( "name", 0, "fn", 0, "msg", (), None, extra={"journal_content": journal_content} ) msg = formatter.format(record) expected = { "tag": "JOURNAL_MSG_JSON", "format": "0.2.0", "objective": "formatting", "context": { "service_ctx": {"name": "Test Service", "version": "0.1.0"}, "implementation_ctx": {"name": "Base Implementation", "version": "0.1.0"}, }, "arguments": {"a": 10, "b": 20}, "results": {"c": 200}, } msg = json.loads(msg) result = Differ().diff(expected, msg) if not result: print(result.support) assert False def test_stringy_formatter(): formatter = JournalFormatter( tag="JOURNAL_MSG_STRINGY", format_mode="stringy", encoder=ObjectDictEncoder ) record = Logger("test_logger").makeRecord( "name", 0, "fn", 0, "msg", (), None, extra={"journal_content": journal_content} ) msg = formatter.format(record) expected = { "tag": "JOURNAL_MSG_STRINGY", "format": "0.2.0", "objective": "formatting", "context": { "service_ctx": {"name": "Test Service", "version": "0.1.0"}, "implementation_ctx": {"name": "Base Implementation", "version": "0.1.0"}, }, "arguments": '{"a": 10, "b": 20}', "results": '{"c": 200}', } msg = json.loads(msg) result = Differ().diff(expected, msg) if not result: print(result.support) assert False def test_expanded_context(): formatter = JournalFormatter( tag="JOURNAL_MSG_JSON", format_mode="json", encoder=ObjectDictEncoder ) # Unnest the context to see that it is expanded. journal_content.context = journal_content.context["context"] record = Logger("test_logger").makeRecord( "name", 0, "fn", 0, "msg", (), None, extra={"journal_content": journal_content} ) msg = formatter.format(record) expected = { "tag": "JOURNAL_MSG_JSON", "format": "0.2.0", "objective": "formatting", "service_ctx": {"name": "Test Service", "version": "0.1.0"}, "implementation_ctx": {"name": "Base Implementation", "version": "0.1.0"}, "arguments": {"a": 10, "b": 20}, "results": {"c": 200}, } msg = json.loads(msg) result = Differ().diff(expected, msg) if not result: print(result.support) assert False

30.11215

87

0.592489

353

3,222

5.280453

0.195467

0.067597

0.038627

0.042918

0.767704

0.756974

0.726931

0.709764

0.695815

0.673283

0

0.027515

0.244258

3,222

106

88

30.396226

0.737988

0.014277

0

0.606742

0

0.237555

0

0.033708

1

0.033708

false

0

0.067416

0

0.101124

0.033708

0

null

0

1

0

1

0

null

0

4

08f49c219032f2da94fe227a1cddfde90aee244b

2,836

py

Python

src-tmp/compotable/coveragecomptable-reverse.py

EulerProject/EulerX

49e63e6a27be97ab30832180a47d214494388e15

[ "MIT" ]

15

2016-02-17T20:48:29.000Z

2021-03-05T20:38:05.000Z

src-tmp/compotable/coveragecomptable-reverse.py

eddy7896/EulerX

49e63e6a27be97ab30832180a47d214494388e15

[ "MIT" ]

16

2015-02-05T18:38:48.000Z

2021-06-14T11:38:36.000Z

src-tmp/compotable/coveragecomptable-reverse.py

eddy7896/EulerX

49e63e6a27be97ab30832180a47d214494388e15

[ "MIT" ]

4

2016-01-26T03:24:52.000Z

2020-01-09T07:57:15.000Z

from itertools import chain, combinations from sets import Set #Coverage composition table: #Given rel(A,B) ==> rel(a1,B), rel(a2,B) #< ==> < , < #> ==> !<=>o , !<=>o #= ==> < , < #! ==> ! , ! #o ==> !<o , !<o #Given rel(A,B) ==> rel(A,b1), rel(A,b2) #< ==> !<=>o , !<=>o #> ==> > , > #= ==> > , > #! ==> ! , ! #o ==> !>o , !>o #Given rel(A,B) ==> rel(a1,b1), rel(a1,b2), rel(a2,b1), rel(a2,b2) #< ==> !<=>o , !<=>o , !<=>o , !<=>o #> ==> !<=>o , !<=>o , !<=>o , !<=>o #= ==> !<=>o , !<=>o , !<=>o , !<=>o #! ==> ! , ! , ! , ! #o ==> !<=>o , !<=>o , !<=>o , !<=>o def hash_a1_B(r): if r == "<": return "<" elif r == ">": return "!<=>o" elif r == "=": return "<" elif r == "!": return "!" elif r == "o": return "!<o" def hash_a2_B(r): if r == "<": return "<" elif r == ">": return "!<=>o" elif r == "=": return "<" elif r == "!": return "!" elif r == "o": return "!<o" def hash_A_b1(r): if r == "<": return "!<=>o" elif r == ">": return ">" elif r == "=": return ">" elif r == "!": return "!" elif r == "o": return "!>o" def hash_A_b2(r): if r == "<": return "!<=>o" elif r == ">": return ">" elif r == "=": return ">" elif r == "!": return "!" elif r == "o": return "!>o" def hash_a1_b1(r): if r == "<": return "!<=>o" elif r == ">": return "!<=>o" elif r == "=": return "!<=>o" elif r == "!": return "!" elif r == "o": return "!<=>o" def hash_a1_b2(r): if r == "<": return "!<=>o" elif r == ">": return "!<=>o" elif r == "=": return "!<=>o" elif r == "!": return "!" elif r == "o": return "!<=>o" def hash_a2_b1(r): if r == "<": return "!<=>o" elif r == ">": return "!<=>o" elif r == "=": return "!<=>o" elif r == "!": return "!" elif r == "o": return "!<=>o" def hash_a2_b2(r): if r == "<": return "!<=>o" elif r == ">": return "!<=>o" elif r == "=": return "!<=>o" elif r == "!": return "!" elif r == "o": return "!<=>o" def powerset_generator(s): for subset in chain.from_iterable(combinations(s, r) for r in range(len(s)+1)): yield set(subset) base_AB = ["<",">","=","!","o"] badguys = [] badguys.append(set("<>")) badguys.append(set("!<>")) badguys.append(set("=<>")) badguys.append(set("!=<>")) for s in powerset_generator(set(base_AB)): # print s str = "" for r in s: str = str + hash_a2_b2(r) # print set(str) if set(str) in badguys: print "FIND BAD GUY!!!" # print ""

19.971831

83

0.366361

340

2,836

2.988235

0.132353

0.220472

0.259843

0.070866

0.669291

0.648622

0.581693

0

0.014658

0.350494

2,836

142

84

19.971831

0.536916

0.178773

0

0.761905

0

0.086655

0

null

0

0.019048

null

0.009524

0

null

1

0

1

0

null

0

1

0

4

3e9e579626a0c7a9ce27eca0550a807d855d6771

43

py

Python

notebooks/_solutions/case4_air_quality_analysis22.py

rprops/Python_DS-WS

b2fc449a74be0c82863e5fcf1ddbe7d64976d530

[ "BSD-3-Clause" ]

183

2016-08-24T12:32:07.000Z

2022-03-26T14:05:04.000Z

notebooks/_solutions/case4_air_quality_analysis22.py

rprops/Python_DS-WS

b2fc449a74be0c82863e5fcf1ddbe7d64976d530

[ "BSD-3-Clause" ]

100

2016-12-15T03:44:06.000Z

2022-03-07T08:14:07.000Z

notebooks/_solutions/case4_air_quality_analysis22.py

rprops/Python_DS-WS

b2fc449a74be0c82863e5fcf1ddbe7d64976d530

[ "BSD-3-Clause" ]

204

2016-08-24T14:22:58.000Z

2022-03-29T15:09:03.000Z

data.groupby(data.index.hour).mean().plot()

43

0.744186

7

43

4.571429

0.857143

0

43

1

43

0.744186

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

3eb420a0102ad31ef4a1fbf273831f54773be725

42

py

Python

python_base/day_5/test_package/module2.py

sven820/python

ddb13ffdab45bdb2c8ca8038cfa0c47f2502e554

[ "Apache-2.0" ]

null

python_base/day_5/test_package/module2.py

sven820/python

ddb13ffdab45bdb2c8ca8038cfa0c47f2502e554

[ "Apache-2.0" ]

null

python_base/day_5/test_package/module2.py

sven820/python

ddb13ffdab45bdb2c8ca8038cfa0c47f2502e554

[ "Apache-2.0" ]

null

__author__ = "JJ.sven" print('test in 2')

14

22

0.666667

7

42

3.428571

1

0

0.027778

0.142857

42

3

23

14

0.638889

0

0.372093

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

3eff32f0874cd0d4bc6ded5c73a8cbe3f5db5ac6

112

py

Python

EHR_statistic_app/apps.py

HurleyJames/Visualization-EHRs

409bcd5ed6de0c73cef335e0ec8557e5c153d659

[ "Apache-2.0" ]

1

2021-05-24T15:10:52.000Z

EHR_statistic_app/apps.py

HurleyWong/Visualization-EHRs

409bcd5ed6de0c73cef335e0ec8557e5c153d659

[ "Apache-2.0" ]

null

EHR_statistic_app/apps.py

HurleyWong/Visualization-EHRs

409bcd5ed6de0c73cef335e0ec8557e5c153d659

[ "Apache-2.0" ]

null

from django.apps import AppConfig class EhrStatisticAppConfig(AppConfig): name = 'EHR_statistic_app'

18.666667

40

0.758929

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41002a362eb036c4db678318b625d1290eea12d5

294

py

Python

occiput_suite/occiput/Registration/TranslationRotation/__init__.py

mscipio/occiput-suite

9b7dc59ad615d46d811eab965a86ec9efe292a7d

[ "BSD-2-Clause" ]

7

2018-02-22T13:50:21.000Z

2020-11-16T01:28:22.000Z

occiput_suite/occiput/Registration/TranslationRotation/__init__.py

mscipio/occiput-suite

9b7dc59ad615d46d811eab965a86ec9efe292a7d

[ "BSD-2-Clause" ]

null

occiput_suite/occiput/Registration/TranslationRotation/__init__.py

mscipio/occiput-suite

9b7dc59ad615d46d811eab965a86ec9efe292a7d

[ "BSD-2-Clause" ]

2

2018-02-22T13:50:31.000Z

2020-01-14T02:17:32.000Z

# occiput # Stefano Pedemonte # Harvard University, Martinos Center for Biomedical Imaging # Apr. 2014, Boston, MA from __future__ import absolute_import from .ilang_models import SSD_ilang from .registration import Registration_Two_Images, Registration_Longitudinal, Registration_N_Images

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412ad116201c5308339b3c4ddea9ab5e54615526

25,718

py

Python

djukebox/tests.py

jmichalicek/djukebox

0b7628f886683887ed357688608fe223033c7e35

[ "BSD-2-Clause" ]

2

2017-07-19T23:35:25.000Z

2019-02-11T20:25:53.000Z

djukebox/tests.py

jmichalicek/djukebox

0b7628f886683887ed357688608fe223033c7e35

[ "BSD-2-Clause" ]

5

2021-03-18T19:55:22.000Z

2022-03-11T23:11:27.000Z

djukebox/tests.py

jmichalicek/djukebox

0b7628f886683887ed357688608fe223033c7e35

[ "BSD-2-Clause" ]

1

2015-09-28T21:58:13.000Z

""" WARNING! Several of these tests currently ASSUME a test system and could result in a loss of data. That is unlikely as the files are all put in directories suggesting they were created in the past, but I cannot control what else you do, so it IS possible. """ from django.conf import settings from django.contrib.auth.models import User from django.core.urlresolvers import reverse from django.test import TestCase from django.test import client from mutagen.oggvorbis import OggVorbis from mutagen.easyid3 import EasyID3 from mutagen.id3 import ID3, TPE2 from models import * import json import shutil import os import types # TODO: For many test cases there needs to be either some audio files included or something which will generate a dummy audio files. # Due to fk to user, create these objects when needed in code def create_artist(user, name='Test'): artist, created = Artist.objects.get_or_create(user=user, name=name) return artist def create_album(user, artist, title='Test Album'): album, created = Album.objects.get_or_create(user=user, artist=artist, title=title) return album # Using pre-created silent files for now. # These could be used to create silent files on the fly #def ffmpeg_create_empty_mp3(): # """Create a 1 second silent mp3 using ffmpeg""" # ffmpeg -ar 44100 -acodec pcm_s16le -f s16le -ac 2 -i /dev/zero -t 00:00:01 test.mp3 #def ffmpeg_create_empty_ogg(): # """Create a 1 second silent oga using ffmpeg""" # ffmpeg -ar 44100 -acodec pcm_s16le -f s16le -ac 2 -i /dev/zero -t 00:00:01 -acodec libvorbis test.ogg #def sox_create_empty_mp3(): # """Create a 1 second silent mp3 using sox""" # sox -n silent.mp3 trim 0 1 #def sox_create_empty_ogg(): # """Create a 1 second silent ogg using sox""" # sox -n -t ogg silent.ogg trim 0 1 class MainViewTests(TestCase): """Test cases for views.home""" def setUp(self): self.user = User.objects.create_user('test', 'test@example.com', 'test') def test_logged_in(self): """Access the main view while logged in""" self.client.login(username='test', password='test') response = self.client.get(reverse('djukebox-home')) self.assertEqual(response.status_code, 200) def test_logged_out(self): """Access the main view when not logged in""" response = self.client.get(reverse('djukebox-home')) self.assertRedirects(response, '%s?next=%s' %(settings.LOGIN_URL, reverse('djukebox-home'))) class AudioFileTests(TestCase): """Test the AudioFile class""" fixtures = ['test_audiofilemodeltests'] def setUp(self): self.audiofile = AudioFile.objects.get(id=1) dest_file = os.path.join(settings.MEDIA_ROOT, self.audiofile.file.name) #if not os.path.exists(os.path.join(dest_file, 'silent.ogg')): #current_dir = os.path.dirname(os.path.abspath(__file__)) #source_ogg = os.path.join(current_dir, 'test_audio/silent.ogg') #shutil.copyfile(source_ogg, dest_file) class AudioFileUnicodeTests(AudioFileTests): """Test the __unicode__() method of the AudioFile class""" def test__unicode(self): self.assertEqual(self.audiofile.file.name, self.audiofile.__unicode__()) class OggFileTests(TestCase): """Test the OggFile class""" fixtures = ['test_oggfilemodeltests'] # I can't get manage to straight monkey patch or use mock.patch # to properly mock out mutagen.oggvorbis.OggVorbis, so just use # small dummy audio files and the full classes for now. This is # what the actual mutagen test cases do. # Most of the test cases actually still patch the .get() method and the # value it returns, but the file needs to exist for the OggVorbis object # to be instantiated. def setUp(self): self.oggfile = OggFile.objects.get(id=1) self.dest_file = os.path.join(settings.MEDIA_ROOT, self.oggfile.file.name) self.dest_dir = os.path.dirname(self.dest_file) if not os.path.exists(self.dest_dir): os.makedirs(self.dest_dir) if os.path.exists(self.dest_dir): current_dir = os.path.dirname(os.path.abspath(__file__)) source_ogg = os.path.join(current_dir, 'test_audio/silent.ogg') shutil.copyfile(source_ogg, self.dest_file) def tearDown(self): # CAREFUL! This could actually delete a real file. if os.path.exists(self.dest_file): os.remove(self.dest_file) # Don't delete the dir if there are other files in there if os.path.exists(self.dest_dir) and not os.listdir(self.dest_dir): # Will blow up if this is a sym link... # make that be the case and find a better way to do it shutil.rmtree(self.dest_dir) class OggFileUnicodeTests(OggFileTests): """Test the __unicode__() method of the OggFile class""" def test__unicode(self): self.assertEqual(self.oggfile.file.name, self.oggfile.__unicode__()) class OggFileGetTitleTests(OggFileTests): """Test the get_title() method of the OggFile class""" def test_get_title(self): def fake_get(a, b, c): return ['Fake Title'] orig = OggVorbis.get OggVorbis.get = fake_get self.assertEqual('Fake Title', self.oggfile.get_title()) OggVorbis.get = orig class OggFileGetArtistTests(OggFileTests): """Test the get_artist() method of the OggFile class""" def test_get_artist(self): def fake_get(a,b,c): return ['Fake Artist'] orig = OggVorbis.get OggVorbis.get = fake_get self.assertEqual('Fake Artist', self.oggfile.get_artist()) OggVorbis.get = orig class OggFileGetAlbumTests(OggFileTests): """Test the get_album() method of the OggFile class""" def test_get_album(self): def fake_get(a,b,c): return ['Fake Album'] orig = OggVorbis.get OggVorbis.get = fake_get self.assertEqual('Fake Album', self.oggfile.get_album()) OggVorbis.get = orig class Mp3FileTests(TestCase): """Test the Mp3File class""" fixtures = ['test_mp3filemodeltests'] # I can't get manage to straight monkey patch or use mock.patch # to properly mock out mutagen.easyid3.EasyID3, so just use # small dummy audio files and the full classes for now. This is # what the actual mutagen test cases do. def setUp(self): self.mp3file = Mp3File.objects.get(id=1) self.dest_file = os.path.join(settings.MEDIA_ROOT, self.mp3file.file.name) self.dest_dir = os.path.dirname(self.dest_file) if not os.path.exists(self.dest_dir): os.makedirs(self.dest_dir) if not os.path.exists(self.dest_file): current_dir = os.path.dirname(os.path.abspath(__file__)) source_mp3 = os.path.join(current_dir, 'test_audio/silent.mp3') shutil.copyfile(source_mp3, self.dest_file) def tearDown(self): dest_file = os.path.join(settings.MEDIA_ROOT, self.mp3file.file.name) if os.path.exists(self.dest_file): os.remove(self.dest_file) # Don't delete the dir if there are other files in there if os.path.exists(self.dest_dir) and not os.listdir(self.dest_dir): # Will blow up if this is a sym link... # make that be the case and find a better way to do it shutil.rmtree(self.dest_dir) class Mp3FileUnicodeTests(Mp3FileTests): """Test the __unicode__() method of the Mp3File class""" def test__unicode(self): self.assertEqual(self.mp3file.file.name, self.mp3file.__unicode__()) class Mp3FileGetTitleTests(Mp3FileTests): """Test the get_title() method of the OggFile class""" def test_single_title(self): def fake_get(a,b,c): return ['Fake Title'] orig = EasyID3.get EasyID3.get = fake_get self.assertEqual('Fake Title', self.mp3file.get_title()) EasyID3.get = orig class Mp3SourceConversionTests(TestCase): fixtures = ['test_mp3filemodeltests'] def setUp(self): self.mp3file = Mp3File.objects.get(id=1) dest_file = os.path.join(settings.MEDIA_ROOT, self.mp3file.file.name) if not os.path.exists(dest_file): current_dir = os.path.dirname(os.path.abspath(__file__)) source_mp3 = os.path.join(current_dir, 'test_audio/silent.mp3') shutil.copyfile(source_mp3, dest_file) def tearDown(self): dest_file = os.path.join(settings.MEDIA_ROOT, self.mp3file.file.name) if os.path.exists(dest_file): os.remove(dest_file) class OggSourceConversionTests(TestCase): fixtures = ['test_oggfilemodeltests'] def setUp(self): self.oggfile = OggFile.objects.get(id=1) dest_file = os.path.join(settings.MEDIA_ROOT, self.oggfile.file.name) if not os.path.exists(dest_file): current_dir = os.path.dirname(os.path.abspath(__file__)) source_ogg = os.path.join(current_dir, 'test_audio/silent.ogg') shutil.copyfile(source_ogg, dest_file) def tearDown(self): dest_file = os.path.join(settings.MEDIA_ROOT, self.oggfile.file.name) if os.path.exists(dest_file): os.remove(dest_file) class FileConversionUnitTests(TestCase): def test_convert_file_to_ogg_task(self): pass def test_convert_file_to_mp3_task(self): pass def test_DjukeboxMp3FromOgg(self): pass def test_DjukeboxOggFromMp3(self): pass # Master branch has handy ResourceTestCase class ApiTests(TestCase): """Test the REST API""" fixtures = ['djukebox_api_tests'] def setUp(self): super(ApiTests, self).setUp() self.user = User.objects.get(id=1) self.user.set_password('test') self.user.save() def tearDown(self): super(ApiTests, self).tearDown() self.client.logout() class AlbumResourceTests(ApiTests): """Test usage of the AlbumResource""" def test_get_list_not_logged_in(self): self.client.logout() request_args = {'resource_name': 'album', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args)) self.assertEqual(response.status_code, 401) def test_get_list(self): """Test the default behavior getting the AlbumResource list""" self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'album', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args)) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('albums' in returned) self.assertEqual(len(returned['albums']), 2) first = returned['albums'][0] self.assertEqual(type(first['artist']), types.UnicodeType) self.assertEqual(type(first['tracks'][0]), types.UnicodeType) def test_get_list_artist_details(self): """Test getting the AlbumResource list with Artist details""" self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'album', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args), data={'details': 'artist'}) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('albums' in returned) self.assertEqual(len(returned['albums']), 2) first = returned['albums'][0] self.assertEqual(type(first['artist']), types.DictType) self.assertTrue('name' in first['artist']) def test_get_list_track_details(self): """Test getting the AlbumResource list with Track details""" self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'album', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args), data={'details': 'track'}) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('albums' in returned) self.assertEqual(len(returned['albums']), 2) first = returned['albums'][0] self.assertEqual(type(first['tracks'][0]), types.DictType) self.assertTrue('title' in first['tracks'][0]) def test_get_details(self): """Test the default behavior getting the AlbumResource details""" album = Album.objects.all()[0] self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'album', 'api_name': 'v1', 'pk': album.pk} response = self.client.get(reverse( 'api_dispatch_detail', kwargs=request_args)) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('tracks' in returned) self.assertTrue('title' in returned) self.assertTrue('artist' in returned) self.assertEqual(type(returned['artist']), types.UnicodeType) self.assertEqual(type(returned['tracks'][0]), types.UnicodeType) def test_get_details_artist_details(self): """Test the default behavior getting the AlbumResource details""" album = Album.objects.all()[0] self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'album', 'api_name': 'v1', 'pk': album.pk} response = self.client.get(reverse( 'api_dispatch_detail', kwargs=request_args), data={'details': 'artist'}) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('tracks' in returned) self.assertTrue('title' in returned) self.assertTrue('artist' in returned) self.assertEqual(type(returned['artist']), types.DictType) self.assertEqual(type(returned['tracks'][0]), types.UnicodeType) def test_get_details_track_details(self): """Test the default behavior getting the AlbumResource details""" album = Album.objects.all()[0] self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'album', 'api_name': 'v1', 'pk': album.pk} response = self.client.get(reverse( 'api_dispatch_detail', kwargs=request_args), data={'details': 'track'}) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('tracks' in returned) self.assertTrue('title' in returned) self.assertTrue('artist' in returned) self.assertEqual(type(returned['artist']), types.UnicodeType) self.assertEqual(type(returned['tracks'][0]), types.DictType) class ArtistResourceTests(ApiTests): """Test usage of the ArtistResource""" def test_get_list_not_logged_in(self): self.client.logout() request_args = {'resource_name': 'artist', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args)) self.assertEqual(response.status_code, 401) def test_get_list(self): """Test the default behavior getting the AlbumResource list""" self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'artist', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args)) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('artists' in returned) self.assertEqual(len(returned['artists']), 2) first = returned['artists'][0] self.assertEqual(type(first['name']), types.UnicodeType) def test_get_artist_details(self): """Test the default behavior getting the ArtistResource details""" self.client.login(username=self.user.username, password='test') artist = Artist.objects.all()[0] request_args = {'resource_name': 'artist', 'api_name': 'v1', 'pk': artist.pk} response = self.client.get(reverse( 'api_dispatch_detail', kwargs=request_args)) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('name' in returned) self.assertEqual(returned['name'], artist.name) self.assertEqual(int(returned['id']), artist.id) class TrackResourceTests(ApiTests): """Test usage of the TrackResource""" def test_get_list_not_logged_in(self): self.client.logout() request_args = {'resource_name': 'track', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args)) self.assertEqual(response.status_code, 401) def test_get_list(self): """Test the default behavior getting the TrackResource list""" self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'track', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args)) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('tracks' in returned) self.assertEqual(len(returned['tracks']), 3) first = returned['tracks'][0] self.assertEqual(type(first['album']), types.UnicodeType) self.assertEqual(type(first['title'][0]), types.UnicodeType) self.assertEqual(type(first['ogg_stream_url']), types.UnicodeType) self.assertEqual(type(first['mp3_stream_url']), types.UnicodeType) def test_get_list_album_details(self): """Test TrackResource list with album details""" self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'track', 'api_name': 'v1'} response = self.client.get(reverse( 'api_dispatch_list', kwargs=request_args), data={'details': 'album'}) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('tracks' in returned) self.assertEqual(len(returned['tracks']), 3) first = returned['tracks'][0] self.assertEqual(type(first['album']), types.DictType) self.assertEqual(type(first['title'][0]), types.UnicodeType) self.assertEqual(type(first['ogg_stream_url']), types.UnicodeType) self.assertEqual(type(first['mp3_stream_url']), types.UnicodeType) check_track = Track.objects.get(id=int(first['id'])) self.assertEqual(first['album']['title'], check_track.album.title) def test_get_details(self): """Test the default behavior getting the TrackResource details""" track = Track.objects.all()[0] self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'track', 'api_name': 'v1', 'pk': track.pk} response = self.client.get(reverse( 'api_dispatch_detail', kwargs=request_args)) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('mp3_stream_url' in returned) self.assertTrue('ogg_stream_url' in returned) self.assertTrue('album' in returned) self.assertTrue('title' in returned) self.assertTrue('track_number' in returned) self.assertTrue('id' in returned) self.assertEqual(type(returned['album']), types.UnicodeType) self.assertEqual(type(returned['title']), types.UnicodeType) self.assertEqual(type(returned['mp3_stream_url']), types.UnicodeType) self.assertEqual(type(returned['ogg_stream_url']), types.UnicodeType) def test_get_details_album_details(self): """Test getting the TrackResource details with album details""" track = Track.objects.all()[0] self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'track', 'api_name': 'v1', 'pk': track.pk} response = self.client.get(reverse( 'api_dispatch_detail', kwargs=request_args), data={'details': 'album'}) self.assertEqual(response.status_code, 200) self.assertTrue(response['Content-Type'].startswith('application/json')) returned = json.loads(response.content) self.assertTrue('mp3_stream_url' in returned) self.assertTrue('ogg_stream_url' in returned) self.assertTrue('album' in returned) self.assertTrue('title' in returned) self.assertTrue('track_number' in returned) self.assertTrue('id' in returned) self.assertEqual(type(returned['album']), types.DictType) self.assertEqual(type(returned['title']), types.UnicodeType) self.assertEqual(type(returned['mp3_stream_url']), types.UnicodeType) self.assertEqual(type(returned['ogg_stream_url']), types.UnicodeType) def test_delete_details(self): """Test deleting a track""" track = Track.objects.all()[0] self.client.login(username=self.user.username, password='test') request_args = {'resource_name': 'track', 'api_name': 'v1', 'pk': track.pk} response = self.client.delete(reverse( 'api_dispatch_detail', kwargs=request_args)) self.assertEqual(response.status_code, 204) self.assertTrue(response['Content-Type'].startswith('text/html')) def test_delete_details_not_logged_in(self): """Test deleting a track""" track = Track.objects.all()[0] self.client.logout() request_args = {'resource_name': 'track', 'api_name': 'v1', 'pk': track.pk} response = self.client.delete(reverse( 'api_dispatch_detail', kwargs=request_args)) self.assertEqual(response.status_code, 401) self.assertTrue(response['Content-Type'].startswith('text/html')) class TrackAlbumResourceTests(ApiTests): def setUp(self): super(TrackAlbumResourceTests, self).setUp() def test_update_track_title(self): artist = Artist.objects.create(name='Justin Michalicek', user=self.user) album = Album.objects.create(title='Justin Rocks Out', artist=artist, user=self.user) track = Track.objects.create(title='Justin Is Currently Rocking', album=album, artist=artist, user=self.user) new_data = { 'track_artist': track.artist.name + ' 2', 'track_title': track.title + ' 2', 'album_artist': album.artist.name, 'album_title': album.title } reverse_kwargs = {'resource_name': 'track_album', 'api_name': 'v1', 'pk': track.pk} # this should work after upgrade to django 1.6 response = self.client.patch(reverse('api_dispatch_detail', kwargs=reverse_kwargs), new_data) self.assertEqual(response.status_code, 200)

35.620499

132

0.625593

3,036

25,718

5.162055

0.103426

0.059342

0.025013

0.035158

0.752169

0.727093

0.705334

0.694678

0.65282

0.645674

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0.010723

0.256668

25,718

721

133

35.669903

0.80907

0.145307

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0.720358

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0.109693

0.008999

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0.001387

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false

0.042506

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0

null

0

4

f5b45c6dae5d965ab9eb7629c5396a3bc09b17e2

325

py

Python

data.py

ruslan-baichurin/mailing-list

623bdc7bc3751d8beb1d01fbbdbb6ebe2b89297a

[ "MIT" ]

null

data.py

ruslan-baichurin/mailing-list

623bdc7bc3751d8beb1d01fbbdbb6ebe2b89297a

[ "MIT" ]

null

data.py

ruslan-baichurin/mailing-list

623bdc7bc3751d8beb1d01fbbdbb6ebe2b89297a

[ "MIT" ]

null

from faker import Faker from flask_app import User # Creating an instance of a Faker object fake = Faker() Creating and inserting 100 email addresses and registration dates generated by fake into the database for _ in range(100): User.add_user(email = fake.email(), created_at = fake.past_datetime(start_date='-365d'))

32.5

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0.775385

51

325

4.823529

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0.032727

0.153846

325

9

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36.111111

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0.116923

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1

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null

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1

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1

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4

f5c035226f5727d348c3b18be19bb5a1ae9aba8f

214

py

Python

routes/weather.py

ramoseh/wizeline-challenge

3c4f2b3b50b948cc60e258daeaaef88a7b1f9f7f

[ "MIT" ]

null

routes/weather.py

ramoseh/wizeline-challenge

3c4f2b3b50b948cc60e258daeaaef88a7b1f9f7f

[ "MIT" ]

null

routes/weather.py

ramoseh/wizeline-challenge

3c4f2b3b50b948cc60e258daeaaef88a7b1f9f7f

[ "MIT" ]

null

# This file is just for organization purposes, # normally there will be more functions and validation in a complex proect # to justify the existance of routes and client from client.weather import get_gdl_wheather

42.8

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1

0

1

0

4

eb41ba9f0d8ff041671f5e1aa36bf39ffe72a408

434

py

Python

dp_tornado/helper/numeric/random.py

donghak-shin/dp-tornado

095bb293661af35cce5f917d8a2228d273489496

[ "MIT" ]

18

2015-04-07T14:28:39.000Z

2020-02-08T14:03:38.000Z

dp_tornado/helper/numeric/random.py

donghak-shin/dp-tornado

095bb293661af35cce5f917d8a2228d273489496

[ "MIT" ]

7

2016-10-05T05:14:06.000Z

2021-05-20T02:07:22.000Z

dp_tornado/helper/numeric/random.py

donghak-shin/dp-tornado

095bb293661af35cce5f917d8a2228d273489496

[ "MIT" ]

11

2015-12-15T09:49:39.000Z

2021-09-06T18:38:21.000Z

# -*- coding: utf-8 -*- from dp_tornado.engine.helper import Helper as dpHelper class RandomHelper(dpHelper): def int(self, length): return self.helper.misc.random.numeric(length) def range(self, minval, maxval): if not self.helper.misc.type.check.numeric(minval) or not self.helper.misc.type.check.numeric(maxval): return False return self.helper.misc.random.randint(minval, maxval)

27.125

110

0.691244

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434

5.067797

0.525424

0.133779

0.187291

0.133779

0.394649

0.220736

0

0.002849

0.191244

434

15

111

28.933333

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null

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null

0

1

0

1

0

4

de1df2374c7d1d759a8cc1a2826d39d6a11ff46a

65

py

Python

app/models/msg/__init__.py

kingyoungfan/v-mall-api

86ff05608162f6127d8af59c556ef5586bad8f68

[ "MIT" ]

null

app/models/msg/__init__.py

kingyoungfan/v-mall-api

86ff05608162f6127d8af59c556ef5586bad8f68

[ "MIT" ]

null

app/models/msg/__init__.py

kingyoungfan/v-mall-api

86ff05608162f6127d8af59c556ef5586bad8f68

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @author: yangyang # @date 4/2/21 16:53

16.25

23

0.553846

11

65

3.272727

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0.184615

65

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24

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1

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1

0

null

0

1

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4

de297cfd5a09b43ef906531abe93762b78df23f6

216

py

Python

Python-Files/Files Practice/Files.py

waleedrana777/code_snippets

139fe9e6f2e13a57bd03f78953ce0560e87dfb99

[ "MIT" ]

null

Python-Files/Files Practice/Files.py

waleedrana777/code_snippets

139fe9e6f2e13a57bd03f78953ce0560e87dfb99

[ "MIT" ]

null

Python-Files/Files Practice/Files.py

waleedrana777/code_snippets

139fe9e6f2e13a57bd03f78953ce0560e87dfb99

[ "MIT" ]

null

with open ("testcopy.txt", "r") as test_copy: chunk_size = 10 read_data = test_copy.read(chunk_size) while len(read_data) > 0: print(read_data) read_data = test_copy.read (chunk_size)

30.857143

47

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216

3.909091

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0.449612

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216

7

47

30.857143

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null

1

0

1

0

null

0

4

de354dfbc37a66efe3a54723108126b0dab72104

25

py

Python

homeassistant/components/mfi/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/mfi/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

homeassistant/components/mfi/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""The mfi component."""

12.5

24

0.6

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5

1

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0.12

25

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25

0.681818

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null

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null

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1

0

null

0

1

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4

de5b5a283617f528409c121879f712d4d3f827ef

190

py

Python

practice/control_flow/ex3.py

recursivelycurious/wordnik-repl

9d9e96a8ebc79b95f135d5bc871602b65d2d2b79

[ "MIT" ]

null

practice/control_flow/ex3.py

recursivelycurious/wordnik-repl

9d9e96a8ebc79b95f135d5bc871602b65d2d2b79

[ "MIT" ]

8

2017-12-29T21:19:00.000Z

2018-04-01T05:05:05.000Z

practice/control_flow/ex3.py

recursivelycurious/wordnik-repl

9d9e96a8ebc79b95f135d5bc871602b65d2d2b79

[ "MIT" ]

1

2017-12-27T23:45:58.000Z

# Make sure that the_flying_circus() returns True def the_flying_circus(): if 5 >= 6: print "yay!" elif (5 <= 6) and 5 == 6: print "ummm" else: return True

21.111111

49

0.557895

28

190

3.642857

0.678571

0.058824

0.294118

0

0.046875

0.326316

190

8

50

23.75

0.75

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null

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null

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null

0

1

0

1

0

null

0

1

0

4

de6f9b60d423f873d657e41c9b622205b612e9f1

1,734

py

Python

tod/retinanet.py

ResByte/tod

e96d73a3f53a1f9b9de99c76afa6f2f124c01a66

[ "Apache-2.0" ]

null

tod/retinanet.py

ResByte/tod

e96d73a3f53a1f9b9de99c76afa6f2f124c01a66

[ "Apache-2.0" ]

null

tod/retinanet.py

ResByte/tod

e96d73a3f53a1f9b9de99c76afa6f2f124c01a66

[ "Apache-2.0" ]

null

import numpy as np import torch import torch.nn as nn import torch.nn.functional as F from typing import List,Dict __all__ = ["RetinaNet"] class RetinaNet(nn.Module): """RetinaNet model for object detection As described in : https://arxiv.org/abs/1708.02002 """ def __init__(self): super(RetinaNet,self).__init__() # target classes # input_features # backbone # head # anchor_generator def forward(self, x:torch.Tensor): """ Args: x: list of preprocessed input images as tensor, shape:(B,C,H,W) Returns: if training: losses for the input batch if inference: List of elements each containing, bbox and category """ # TODO: # 1. if the input is not pre-processed, process it first # 2. pass through backbone to get list of features # in case of FPN, extract features at multiple levels # 3. via heads, get box classes and box deltas # 4. get anchors from anchor generator raise NotImplementedError def losses(self): """Takes in groundtruth values for classes and bbox, as well as predicted categories and bbox and returns both classess and bbox losses """ # compute all kinds of losses # 1. Logits losses for classification # 2. regression loss for bbox return classification_loss, bbox_reg_loss def inference(self): """Takes in input tensor or batch of tensor and produces bbox, classes for each box. """ raise NotImplementedError

23.12

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4.836538

0.538462

0.032803

0.025845

0

0.013263

0.347751

1,734

74

69

23.432432

0.876216

0.540369

0

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0

0.014173

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1

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false

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null

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1

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1

0

1

0

1

0

4

de8f2bf552559d76be8f302df6a5178a315510f1

749

py

Python

tests/test_tableswithtables.py

Tinche/flattrs

6c5725aaaaa89f0bbdf444178dc7c626ec95614a

[ "MIT" ]

7

2018-08-27T16:59:55.000Z

2022-01-20T19:11:28.000Z

tests/test_tableswithtables.py

Tinche/flattrs

6c5725aaaaa89f0bbdf444178dc7c626ec95614a

[ "MIT" ]

1

2019-12-04T12:17:45.000Z

2020-01-14T13:37:32.000Z

tests/test_tableswithtables.py

Tinche/flattrs

6c5725aaaaa89f0bbdf444178dc7c626ec95614a

[ "MIT" ]

2

2019-12-04T12:08:14.000Z

2019-12-04T12:51:57.000Z

from hypothesis import given from hypothesis.strategies import composite from hypothesis.strategies._internal.core import booleans from flattr import model_from_bytes, model_to_bytes from .models_tableswithtables import ContainsTable, OptionalTable from .test_common import common1s @composite def contains_tables(draw): return ContainsTable(draw(common1s())) @composite def optional_tables(draw): return OptionalTable(draw(common1s()) if draw(booleans()) else None) @given(contains_tables()) def test_contains_tables(inst): assert inst == model_from_bytes(inst.__class__, model_to_bytes(inst)) @given(optional_tables()) def test_optional_tables(inst): assert inst == model_from_bytes(inst.__class__, model_to_bytes(inst))

25.827586

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749

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0.073427

0.06993

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0.109479

749

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74

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false

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0

null

0

null

0

1

0

1

0

4

dedde65cc71c63a202e733b545aaa5876c226ebc

163

py

Python

file/file_utils.py

stevencdang/data_proc_lib

7ecc93efa726ace808019c744980c5c9e0f0f329

[ "MIT" ]

null

file/file_utils.py

stevencdang/data_proc_lib

7ecc93efa726ace808019c744980c5c9e0f0f329

[ "MIT" ]

null

file/file_utils.py

stevencdang/data_proc_lib

7ecc93efa726ace808019c744980c5c9e0f0f329

[ "MIT" ]

null

from os import mkdir, path def trim_ext(file_name): """ Trim the file extension from a given file """ return file_name[:file_name.rindex('.')]

14.818182

45

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163

4.208333

0.666667

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0

0.239264

163

10

46

16.3

0.814516

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0

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false

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0.333333

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1

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0

null

1

0

null

0

1

0

1

0

4

dedf5753ac03a4fa886004aad5b4c7481f701f6e

188

py

Python

trigger_webapp/trigger_app/serializers.py

ADACS-Australia/mwa_trigger

335752efda6251d61f40179fed9a19cf4e58ba85

[ "MIT" ]

null

trigger_webapp/trigger_app/serializers.py

ADACS-Australia/mwa_trigger

335752efda6251d61f40179fed9a19cf4e58ba85

[ "MIT" ]

9

2022-01-31T05:56:48.000Z

2022-03-16T08:03:59.000Z

trigger_webapp/trigger_app/serializers.py

ADACS-Australia/mwa_trigger

335752efda6251d61f40179fed9a19cf4e58ba85

[ "MIT" ]

null

from rest_framework import serializers from . import models class VOEventSerializer(serializers.ModelSerializer): class Meta: model = models.VOEvent fields = '__all__'

26.857143

53

0.739362

19

188

7.052632

0.736842

0

0.202128

188

7

54

26.857143

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false

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null

0

1

0

null

0

1

0

1

0

4

72181adc745c56619ee60682e9432eea3a374283

92

py

Python

2015/02/nurse-injury-rates/graphic_config.py

nprapps/graphics-archive

97b0ef326b46a959df930f5522d325e537f7a655

[ "FSFAP" ]

14

2015-05-08T13:41:51.000Z

2021-02-24T12:34:55.000Z

2015/02/nurse-injury-rates/graphic_config.py

nprapps/graphics-archive

97b0ef326b46a959df930f5522d325e537f7a655

[ "FSFAP" ]

null

2015/02/nurse-injury-rates/graphic_config.py

nprapps/graphics-archive

97b0ef326b46a959df930f5522d325e537f7a655

[ "FSFAP" ]

7

2015-04-04T04:45:54.000Z

2021-02-18T11:12:48.000Z

#!/usr/bin/env python COPY_GOOGLE_DOC_KEY = '1assIFoHbgfYcQ-OdFmm2q7ia2VaGQwrdZ5NmhoKImOk'

23

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92

7.4

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0.065217

92

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30.666667

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null

0

1

0

1

null

0

4

725223330b0f6c16f49e1f82a62142011e0d065b

7,219

py

Python

tests/test_focal_statistics.py

jasperroebroek/focal-stats

79788aafddd9a5891f36fb866e317aec064eb77f

[ "MIT" ]

null

tests/test_focal_statistics.py

jasperroebroek/focal-stats

79788aafddd9a5891f36fb866e317aec064eb77f

[ "MIT" ]

null

tests/test_focal_statistics.py

jasperroebroek/focal-stats

79788aafddd9a5891f36fb866e317aec064eb77f

[ "MIT" ]

null

import pytest import numpy as np import scipy.stats import focal_stats def test_focal_stats_values(): a = np.random.rand(5, 5) # Values when not reducing assert np.allclose(focal_stats.focal_mean(a)[2, 2], a.mean()) assert np.allclose(focal_stats.focal_sum(a)[2, 2], a.sum()) assert np.allclose(focal_stats.focal_min(a)[2, 2], a.min()) assert np.allclose(focal_stats.focal_max(a)[2, 2], a.max()) assert np.allclose(focal_stats.focal_std(a)[2, 2], a.std()) assert np.allclose(focal_stats.focal_std(a, std_df=1)[2, 2], a.std(ddof=1)) # Values when reducing assert np.allclose(focal_stats.focal_mean(a, reduce=True)[0, 0], a.mean()) assert np.allclose(focal_stats.focal_sum(a, reduce=True)[0, 0], a.sum()) assert np.allclose(focal_stats.focal_min(a, reduce=True)[0, 0], a.min()) assert np.allclose(focal_stats.focal_max(a, reduce=True)[0, 0], a.max()) assert np.allclose(focal_stats.focal_std(a, reduce=True)[0, 0], a.std()) assert np.allclose(focal_stats.focal_std(a, std_df=1, reduce=True)[0, 0], a.std(ddof=1)) # compare for larger shape a = np.random.rand(100, 100) assert np.allclose(focal_stats.focal_std(a, window_size=5, std_df=0, reduce=True), focal_stats.rolling_window(a, window_size=5, reduce=True, flatten=True).std(axis=-1)) assert np.allclose(focal_stats.focal_std(a, window_size=5, std_df=1, reduce=True), focal_stats.rolling_window(a, window_size=5, reduce=True, flatten=True).std(axis=-1, ddof=1)) # majority modes rs = np.random.RandomState(0) a = rs.randint(0, 10, 25).reshape(5, 5) # Value when reducing assert scipy.stats.mode(a.flatten()).mode[0] == \ focal_stats.focal_majority(a, window_size=5, majority_mode='ascending')[2, 2] # Values when not reducing assert scipy.stats.mode(a.flatten()).mode[0] == \ focal_stats.focal_majority(a, window_size=5, reduce=True, majority_mode='ascending')[0, 0] # Same number of observations in several classes lead to NaN in majority_mode='nan' a = np.arange(100).reshape(10, 10) assert np.isnan(focal_stats.focal_majority(a, window_size=10, reduce=True, majority_mode='nan')) # Same number of observations in several classes lead to lowest number in majority_mode='ascending' assert focal_stats.focal_majority(a, window_size=10, reduce=True, majority_mode='ascending') == 0 # Same number of observations in several classes lead to highest number in majority_mode='descending' assert focal_stats.focal_majority(a, window_size=10, reduce=True, majority_mode='descending') == 99 @pytest.mark.parametrize("fs,np_fs", [(focal_stats.focal_mean, np.nanmean), (focal_stats.focal_sum, np.nansum), (focal_stats.focal_min, np.nanmin), (focal_stats.focal_max, np.nanmax), (focal_stats.focal_std, np.nanstd)]) def test_focal_stats_values_mask(fs, np_fs): a = np.random.rand(100, 100) mask = np.random.RandomState().rand(5, 7) assert np.allclose(fs(a, mask=mask)[2:-2, 3:-3], np_fs(focal_stats.rolling_window(a, mask=mask), axis=-1)) @pytest.mark.parametrize("fs", [focal_stats.focal_mean, focal_stats.focal_sum, focal_stats.focal_min, focal_stats.focal_max, focal_stats.focal_std, focal_stats.focal_majority]) def test_focal_stats_shape(fs): a = np.random.rand(10, 10) assert a.shape == fs(a, window_size=3).shape assert fs(a, window_size=10, reduce=True).shape == (1, 1) @pytest.mark.parametrize("fs", [focal_stats.focal_mean, focal_stats.focal_sum, focal_stats.focal_min, focal_stats.focal_max, focal_stats.focal_std, focal_stats.focal_majority]) def test_focal_stats_errors(fs): with pytest.raises(TypeError): fs(np.random.rand(10, 10), verbose=1) with pytest.raises(TypeError): fs(np.random.rand(10, 10), reduce=1) # not 2D with pytest.raises(IndexError): a = np.random.rand(10, 10, 10) fs(a) with pytest.raises(TypeError): a = np.random.rand(10, 10) fs(a, window_size="5") with pytest.raises(ValueError): a = np.random.rand(10, 10) fs(a, window_size=1) with pytest.raises(ValueError): a = np.random.rand(10, 10) fs(a, window_size=11) # uneven window_size is not supported with pytest.raises(ValueError): a = np.random.rand(10, 10) fs(a, window_size=4) # Not exactly divided in reduce mode with pytest.raises((NotImplementedError, ValueError)): a = np.random.rand(10, 10) fs(a, window_size=4, reduce=True) with pytest.raises(ValueError): a = np.random.rand(10, 10) fs(a, fraction_accepted=-0.1) with pytest.raises(ValueError): a = np.random.rand(10, 10) fs(a, fraction_accepted=1.1) @pytest.mark.parametrize("fs", [focal_stats.focal_mean, focal_stats.focal_sum, focal_stats.focal_min, focal_stats.focal_max, focal_stats.focal_std, focal_stats.focal_majority]) def test_focal_stats_nan_propagation(fs): a = np.random.rand(5, 5) a[2, 2] = np.nan assert np.isnan(fs(a)[2, 2]) @pytest.mark.parametrize("fs,np_fs", [(focal_stats.focal_mean, np.nanmean), (focal_stats.focal_sum, np.nansum), (focal_stats.focal_min, np.nanmin), (focal_stats.focal_max, np.nanmax), (focal_stats.focal_std, np.nanstd)]) def test_focal_stats_nan_behaviour_fraction_accepted(fs, np_fs): a = np.random.rand(5, 5) a[1, 1] = np.nan assert np.allclose(fs(a)[2, 2], np_fs(a)) assert not np.isnan(fs(a, fraction_accepted=0)[2, 2]) assert np.isnan(fs(a, fraction_accepted=1)[2, 2]) def test_focal_stats_nan_behaviour_majority(): a = np.ones((5, 5)).astype(float) a[1, 1] = np.nan assert focal_stats.focal_majority(a)[2, 2] == 1 assert not np.isnan(focal_stats.focal_majority(a, fraction_accepted=0)[2, 2]) assert np.isnan(focal_stats.focal_majority(a, fraction_accepted=1)[2, 2]) @pytest.mark.parametrize("fs", [focal_stats.focal_mean, focal_stats.focal_sum, focal_stats.focal_min, focal_stats.focal_max, focal_stats.focal_std, focal_stats.focal_majority]) def test_focal_stats_dtype(fs): a = np.random.rand(5, 5).astype(np.int) assert fs(a).dtype == np.float64 a = np.random.rand(5, 5).astype(np.float) assert fs(a).dtype == np.float64

41.488506

116

0.6041

1,030

7,219

4.048544

0.102913

0.16307

0.201439

0.04988

0.820863

0.788729

0.695683

0.689688

0.666906

0.602158

0

0.036546

0.268458

7,219

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1

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null

0

4

a0ddf6dceda607695a55d78b05a9d85a1b88d1c3

1,242

py

Python

project/apps/common/tests/test_utils.py

expert-m/crazy-bear

46b7a907f940116831378e1eff6d01badbdcc975

[ "MIT" ]

null

project/apps/common/tests/test_utils.py

expert-m/crazy-bear

46b7a907f940116831378e1eff6d01badbdcc975

[ "MIT" ]

5

2021-08-14T03:12:56.000Z

2022-02-16T12:37:15.000Z

project/apps/common/tests/test_utils.py

expert-m/crazy-bear

46b7a907f940116831378e1eff6d01badbdcc975

[ "MIT" ]

null

import unittest import datetime from unittest.mock import patch from ..utils import is_sleep_hours class UtilsTestCase(unittest.TestCase): def test_is_sleep_hours(self): timestamp_tpl = dict(year=2020, month=1, day=1) with patch('project.config.SLEEP_HOURS', [0, 6]): self.assertTrue(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=1))) self.assertTrue(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=5))) self.assertFalse(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=7))) self.assertFalse(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=23))) with patch('project.config.SLEEP_HOURS', [20, 3]): self.assertTrue(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=21))) self.assertTrue(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=23))) self.assertTrue(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=2))) self.assertFalse(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=4))) self.assertFalse(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=17))) self.assertFalse(is_sleep_hours(datetime.datetime(**timestamp_tpl, hour=19)))

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a0e04bd9a099b146c9f32795f8839d1e44e5a27c

138

py

Python

Python/PythonTest02/src/calc/calculator.py

tduoth/JsObjects

eb3e2a8b1f47d0da53c8b1a85a7949269711932f

[ "MIT" ]

22

2015-02-26T09:07:18.000Z

2020-05-10T16:22:05.000Z

Python/PythonTest02/src/calc/calculator.py

tduoth/JsObjects

eb3e2a8b1f47d0da53c8b1a85a7949269711932f

[ "MIT" ]

123

2016-04-05T18:32:41.000Z

2022-03-13T21:09:21.000Z

Python/PythonTest02/src/calc/calculator.py

tduoth/JsObjects

eb3e2a8b1f47d0da53c8b1a85a7949269711932f

[ "MIT" ]

56

2015-03-19T22:26:37.000Z

2021-12-06T02:52:02.000Z

#! /usr/bin/python class Calculator(object): def add(self, operanda, operandb): return operanda + operandb

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9d245149ebf69ed6be2281c027c9347523f846f8

178

py

Python

utils/forGAN.py

khRay13/rmbgGAN

56bb4190f76e736948b64c189cfa54ac8c2f561e

[ "MIT" ]

1

2021-12-28T03:25:10.000Z

utils/forGAN.py

khRay13/rmbgGAN

56bb4190f76e736948b64c189cfa54ac8c2f561e

[ "MIT" ]

null

utils/forGAN.py

khRay13/rmbgGAN

56bb4190f76e736948b64c189cfa54ac8c2f561e

[ "MIT" ]

1

2019-09-07T16:36:45.000Z

import cv2, numpy as np def normalize(img): return cv2.resize(img, (256,256)).reshape(1,256,256,img.shape[-1])/127.5-1 def reverse(pred): return np.uint8(pred[0]*127.5+127.5)

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9d2a625abf985ce37dcd08711df89817f44883bf

124

py

Python

pra_request_tracker/pra_request_tracker/record_requests/apps.py

SeattleDSA/pra-request-tracker

0c4c628d249efc579faaa8f1d352fa0d120a510c

[ "MIT" ]

1

2021-09-30T20:25:49.000Z

pra_request_tracker/pra_request_tracker/record_requests/apps.py

SeattleDSA/pra-request-tracker

0c4c628d249efc579faaa8f1d352fa0d120a510c

[ "MIT" ]

14

2021-06-29T18:04:09.000Z

2021-07-23T20:15:46.000Z

pra_request_tracker/pra_request_tracker/record_requests/apps.py

SeattleDSA/pra-request-tracker

0c4c628d249efc579faaa8f1d352fa0d120a510c

[ "MIT" ]

null

from django.apps import AppConfig class RecordRequestsConfig(AppConfig): name = "pra_request_tracker.record_requests"

20.666667

48

0.814516

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124

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0.928571

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null

0

1

0

null

0

1

0

1

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9d2df282540e52bdbe226c4d65730deeadb92981

777

py

Python

eridanus/theme.py

mithrandi/eridanus

11c80c7024548ce7c41800b077d3d0a738a04875

[ "MIT" ]

null

eridanus/theme.py

mithrandi/eridanus

11c80c7024548ce7c41800b077d3d0a738a04875

[ "MIT" ]

5

2021-03-18T20:19:01.000Z

2022-03-11T23:14:44.000Z

eridanus/theme.py

mithrandi/eridanus

11c80c7024548ce7c41800b077d3d0a738a04875

[ "MIT" ]

1

2018-01-10T15:15:15.000Z

from nevow import tags from xmantissa import webtheme class Theme(webtheme.XHTMLDirectoryTheme): def head(self, request, website): def styleSheetLink(href): return tags.link(rel='stylesheet', type='text/css', href=href) root = website.cleartextRoot(request.getHeader('host')) styles = root.child('Eridanus').child('static').child('styles') yield styleSheetLink(styles.child('eridanus.css')) yield tags.xml(u'') yield tags.xml(u'') class Base(webtheme.XHTMLDirectoryTheme): def head(self, request, website): pass

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1

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19c9c9eb7ed8f2b44077c4676056af489637fc78

39

py

Python

imagetagger/venv/lib/python3.7/genericpath.py

wrigsa/ImageTagger

d8a7ab7d004eeda8deae423eccc7236c4accab47

[ "MIT" ]

8

2020-04-09T13:37:16.000Z

2021-11-22T01:26:02.000Z

env/lib/python3.7/genericpath.py

karenhao/Office-365-Flask-App-kudos

95500ec55169f49eb281fff9905ad0b7f94d6fa3

[ "MIT" ]

23

2019-01-19T08:54:48.000Z

2022-03-11T23:39:37.000Z

env/lib/python3.7/genericpath.py

karenhao/Office-365-Flask-App-kudos

95500ec55169f49eb281fff9905ad0b7f94d6fa3

[ "MIT" ]

5

2021-01-12T07:03:31.000Z

2021-09-27T16:30:24.000Z

/anaconda3/lib/python3.7/genericpath.py

39

0.846154

6

39

5.5

1

0

0.076923

0

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1

39

0.769231

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null

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null

0

1

0

null

0

1

0

4

19cffed3b0db8111eaaeb0a3642f149aa071c373

320

py

Python

siam_tracker/models/utils/__init__.py

microsoft/PySiamTracking

a82dabeaa42a7816dbd8e823da7b7e92ebb622ce

[ "MIT" ]

28

2020-03-18T04:41:21.000Z

2022-02-24T16:44:01.000Z

siam_tracker/models/utils/__init__.py

HengFan2010/PySiamTracking

a82dabeaa42a7816dbd8e823da7b7e92ebb622ce

[ "MIT" ]

1

2020-04-05T15:23:22.000Z

2020-04-07T16:23:12.000Z

siam_tracker/models/utils/__init__.py

HengFan2010/PySiamTracking

a82dabeaa42a7816dbd8e823da7b7e92ebb622ce

[ "MIT" ]

11

2020-03-19T00:30:06.000Z

2021-11-10T08:22:35.000Z

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. from .conv_module import ConvModule, build_conv_layer, build_stack_conv_layers from .fully_connected import build_stack_fc_layers from .norm import build_norm_layer from .weight_init import random_init_weights, constant_init

40

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0.10625

320

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45.714286

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null

0

1

0

1

0

1

0

4

19d767d14af1b40db62545b3723307933ba5912f

79

py

Python

app/python/testServer.py

FabianGD/epycure-react

998b6f9b2edb35401d4d3928099b48257ad442ad

[ "MIT" ]

null

app/python/testServer.py

FabianGD/epycure-react

998b6f9b2edb35401d4d3928099b48257ad442ad

[ "MIT" ]

null

app/python/testServer.py

FabianGD/epycure-react

998b6f9b2edb35401d4d3928099b48257ad442ad

[ "MIT" ]

null

import zmq as zmq def test(): pass if __name__ = '__main__': test()

8.777778

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0.594937

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79

3.545455

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79

8

26

9.875

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0.102564

0

null

0.2

null

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0

null

0

1

0

null

0

1

0

1

0

4

19eb0511787ab425e917e885a10264b345a3e948

192

py

Python

tests/plugins/advanced.py

nnop/pluginbase

af0454a6f0a7cdd118e63a116a2b60efc3827c32

[ "BSD-3-Clause" ]

803

2015-01-21T05:03:13.000Z

2022-03-25T11:21:58.000Z

tests/plugins/advanced.py

nnop/pluginbase

af0454a6f0a7cdd118e63a116a2b60efc3827c32

[ "BSD-3-Clause" ]

20

2015-01-01T17:25:50.000Z

2021-05-16T16:22:43.000Z

tests/plugins/advanced.py

nnop/pluginbase

af0454a6f0a7cdd118e63a116a2b60efc3827c32

[ "BSD-3-Clause" ]

185

2015-03-18T11:09:57.000Z

2022-03-24T05:10:36.000Z

from pluginbase import get_plugin_source def get_app(): rv = get_plugin_source(stacklevel=1) if rv is not None: return rv.app def get_app_name(): return get_app().name

16

40

0.692708

31

192

4.032258

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0.24

0

0.006757

0.229167

192

11

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0

null

0

1

0

null

0

1

0

1

0

4

19ef0123edd86d1e400c64f60343dd26d110c371

960

py

Python

APIServer/database/models.py

gcallah/SOCNET

dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61

[ "MIT" ]

1

2021-02-04T19:16:16.000Z

APIServer/database/models.py

gcallah/SOCNET

dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61

[ "MIT" ]

null

APIServer/database/models.py

gcallah/SOCNET

dd8f0894e8ed071df7f78f3b61dddc7d5cf7be61

[ "MIT" ]

1

2021-02-12T21:27:25.000Z

from APIServer import db class Alert(db.Model): __tablename__ = "alerts" id = db.Column(db.Integer, primary_key=True) event_datetime = db.Column(db.Text) event_zipcode = db.Column(db.Text) event_city = db.Column(db.Text) event_state = db.Column(db.Text) event_country = db.Column(db.Text) event_type = db.Column(db.Text) event_description = db.Column(db.Text) event_severity = db.Column(db.Text) msg_sender = db.Column(db.Text) active = db.Column(db.Boolean, default=True) class Thread(db.Model): __tablename__ = "threads" id = db.Column(db.Integer, primary_key=True) first_comment_id = db.Column(db.Integer, default=-1) last_comment_id = db.Column(db.Integer, default=-1) class Comment(db.Model): __tablename__ = "comments" id = db.Column(db.Integer, primary_key=True, autoincrement=True) content = db.Column(db.Text) next_comment_id = db.Column(db.Integer, default=-1)

28.235294

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960

4.524823

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0.173958

960

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1

0

null

1

0

null

0

1

0

4

c21a022a61d625a4361f65b54f449c14183f823e

233

py

Python

psdaq/psdaq/tests/test_rogue.py

ZhenghengLi/lcls2

94e75c6536954a58c8937595dcac295163aa1cdf

[ "BSD-3-Clause-LBNL" ]

16

2017-11-09T17:10:56.000Z

2022-03-09T23:03:10.000Z

psdaq/psdaq/tests/test_rogue.py

ZhenghengLi/lcls2

94e75c6536954a58c8937595dcac295163aa1cdf

[ "BSD-3-Clause-LBNL" ]

6

2017-12-12T19:30:05.000Z

2020-07-09T00:28:33.000Z

psdaq/psdaq/tests/test_rogue.py

ZhenghengLi/lcls2

94e75c6536954a58c8937595dcac295163aa1cdf

[ "BSD-3-Clause-LBNL" ]

25

2017-09-18T20:02:43.000Z

2022-03-27T22:27:42.000Z

import pytest def test_rogue(): # do this simple test since rogue has a rather complex boost dependency # which we have gotten wrong in the past - valmar and cpo import rogue if __name__ == "__main__": test_rogue()

23.3

75

0.708155

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4.428571

0.828571

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0

0.236052

233

9

76

25.888889

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0

0.07619

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0.4

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0

1

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1

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1

0

4

dfa769b64eb8829466337b399b04f21194ed88d4

152

py

Python

theme_eliiza/__init__.py

eliiza/theme_eliiza

a11b740df418aa096dc4cdc9f0e102b89fbd9bbc

[ "MIT" ]

null

theme_eliiza/__init__.py

eliiza/theme_eliiza

a11b740df418aa096dc4cdc9f0e102b89fbd9bbc

[ "MIT" ]

null

theme_eliiza/__init__.py

eliiza/theme_eliiza

a11b740df418aa096dc4cdc9f0e102b89fbd9bbc

[ "MIT" ]

null

from .plotnine import (eliiza_purple, eliiza_teal, eliiza_navy, eliiza_dark_purple, theme_eliiza, phi)

38

56

0.565789

15

152

5.333333

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0.381579

152

3

57

50.666667

0.851064

0

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true

0

0.333333

0

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1

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null

0

1

0

null

0

1

0

1

0

4

dfb9fc253954ebd2b64c469fa6fcf9c3de366684

945

py

Python

01_introduction/guess_a_number.py

brunnerp/PythonFachkurs

56589190451ba2155defb1947dcc58f945c471a0

[ "MIT" ]

null

01_introduction/guess_a_number.py

brunnerp/PythonFachkurs

56589190451ba2155defb1947dcc58f945c471a0

[ "MIT" ]

null

01_introduction/guess_a_number.py

brunnerp/PythonFachkurs

56589190451ba2155defb1947dcc58f945c471a0

[ "MIT" ]

null

from random import randint def guess_a_number(): """Game to guess a number the computer randomly generated.""" # TODO: # generate a random number (uniformly distributed between 0 and 100) # read input from the user and validate that the input is numeric (use the function check_raw) # check whether the number was guessed # implement the functions evaluate_my_number, which checks whether the number is too high or too low # and print this information to the user # let the computer guess, therefore implement the demo_a_number function def check_raw(print_string='Please try again: '): """Gets the string, raw_input should print, checks and returns the input.""" return checked_int def evaluate_my_number(guess, random_number): """Is the guess to high or to low? Guess again!""" def demo_a_number(random_number): """The computer tries to guess the number""" guess_a_number()

30.483871

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0.725926

142

945

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0.052474

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0

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945

30

105

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0

1

0

1

0

1

0

4

dfd5786e6377004b622bc4a279dcc89bee324700

197

py

Python

src/applications/reminders/views/reminder.py

tgrx/obliviscor

31f9a4476892460c931b9a8fc5403c3afcc47607

[ "Apache-2.0" ]

null

src/applications/reminders/views/reminder.py

tgrx/obliviscor

31f9a4476892460c931b9a8fc5403c3afcc47607

[ "Apache-2.0" ]

20

2020-04-16T23:45:50.000Z

2020-05-05T14:22:03.000Z

src/applications/reminders/views/reminder.py

tgrx/obliviscor

31f9a4476892460c931b9a8fc5403c3afcc47607

[ "Apache-2.0" ]

null

from django.views.generic import DetailView from applications.reminders.models import Reminder class ReminderView(DetailView): template_name = "reminders/reminder.html" model = Reminder

21.888889

50

0.796954

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197

7.090909

0.727273

0

0.137056

197

8

51

24.625

0.917647

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0

1

0

false

0

0.4

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0

null

0

1

0

null

0

1

0

1

0

4

dff4673d4758fdd80081debb2a5376fc1ba056fa

177

py

Python

pythondesafios/desafio047.py

matheus-rosario/curso-python

ac9ccf7fc4b3f708821e44787a1bdc231d9426ac

[ "MIT" ]

null

pythondesafios/desafio047.py

matheus-rosario/curso-python

ac9ccf7fc4b3f708821e44787a1bdc231d9426ac

[ "MIT" ]

null

pythondesafios/desafio047.py

matheus-rosario/curso-python

ac9ccf7fc4b3f708821e44787a1bdc231d9426ac

[ "MIT" ]

null

#Crie um programa que mostre na tela todos os números pares que estão no intervalo entre 1 e 50. print('Os números pares entre 1 e 50 são:') for c in range(2, 51, 2): print(c)

44.25

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0.723164

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177

3.459459

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0.140625

0.21875

0.140625

0

0.070423

0.19774

177

4

97

44.25

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0

null

0

1

0

1

0

4

5f0ad559628e9ed1c7c9a05fb15e31281a2a97e3

2,204

py

Python

src/genie/libs/parser/slxos/tests/ShowVersion/cli/equal/golden_output1_expected.py

fpessoanunes/genieparser

8597aae1799f8a540214d6dbcfd545d2ebe369e4

[ "Apache-2.0" ]

null

src/genie/libs/parser/slxos/tests/ShowVersion/cli/equal/golden_output1_expected.py

fpessoanunes/genieparser

8597aae1799f8a540214d6dbcfd545d2ebe369e4

[ "Apache-2.0" ]

null

src/genie/libs/parser/slxos/tests/ShowVersion/cli/equal/golden_output1_expected.py

fpessoanunes/genieparser

8597aae1799f8a540214d6dbcfd545d2ebe369e4

[ "Apache-2.0" ]

null

expected_output = { "version": { "build_time": "08:13:43 Apr 7, 2021", "firmware_ver": "18r.1.00h", "install_time": "07:14:32 Jun 1, 2021", "slot": { "L1/0": { "name": "L1/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L2/0": { "name": "L2/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L3/0": { "name": "L3/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L4/0": { "name": "L4/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L5/0": { "name": "L5/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L6/0": { "name": "L6/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L7/0": { "name": "L7/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "L8/0": { "name": "L8/0", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "M1": { "name": "M1", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "ACTIVE", }, "M2": { "name": "M2", "primary_ver": "18r.1.00h", "secondary_ver": "18r.1.00h", "status": "STANDBY", }, }, "system_uptime": "94days 8hrs 25mins 29secs", } }

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2,204

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0.209402

0.299145

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0

0.150576

0.48775

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0

0.414286

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0.357078

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1

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null

0

1

0

1

0

1

0

null

0

4

5f0b50dded526a4282d3d071925ecd73c0e6d1c4

91

py

Python

ciscoise/__init__.py

rahul-nitkkr/ise-guest-migrator

9174256cc6cbe527efa4e791c6cbeae915a6d1da

[ "MIT" ]

null

ciscoise/__init__.py

rahul-nitkkr/ise-guest-migrator

9174256cc6cbe527efa4e791c6cbeae915a6d1da

[ "MIT" ]

1

2021-11-18T02:35:11.000Z

2021-11-18T13:00:25.000Z

ciscoise/__init__.py

rahul-nitkkr/ise-guest-migrator

9174256cc6cbe527efa4e791c6cbeae915a6d1da

[ "MIT" ]

1

2021-11-18T17:03:24.000Z

from .session import ISESession # from .exception import ISEError from .client import ISE

18.2

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91

6.083333

0.666667

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null

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0

4

5f0c15e6f46abed739e81832c81f9458871833f3

285

py

Python

insurance/insurance/doctype/employer/test_employer.py

philliyg/insurance

590da1be4c86aa68e2ada91929b9d86bc88a450d

[ "MIT" ]

2

2017-04-15T00:19:38.000Z

2018-04-10T20:38:02.000Z

insurance/insurance/doctype/employer/test_employer.py

philliyg/insurance

590da1be4c86aa68e2ada91929b9d86bc88a450d

[ "MIT" ]

null

insurance/insurance/doctype/employer/test_employer.py

philliyg/insurance

590da1be4c86aa68e2ada91929b9d86bc88a450d

[ "MIT" ]

5

2017-04-15T00:19:39.000Z

2018-01-25T14:08:08.000Z

# -*- coding: utf-8 -*- # Copyright (c) 2015, Opensource Solutions Philippines and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest # test_records = frappe.get_test_records('Employer') class TestEmployer(unittest.TestCase): pass

21.923077

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285

6.142857

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0.102326

0

0.02008

0.126316

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null

0

null

0

1

0

1

0

4

5f1b26a9b34d29d5088e9b517e9dbdaba82ef42f

149

py

Python

nytimesarticlev2/tests.py

rushic24/NYTimesArticleAPI

e9d9ca3febbc350c3e15579b47de4e3973a9d352

[ "MIT" ]

1

2021-11-07T20:08:03.000Z

nytimesarticlev2/tests.py

rushic24/NYTimesArticleAPI

e9d9ca3febbc350c3e15579b47de4e3973a9d352

[ "MIT" ]

null

nytimesarticlev2/tests.py

rushic24/NYTimesArticleAPI

e9d9ca3febbc350c3e15579b47de4e3973a9d352

[ "MIT" ]

null

import unittest import os class nytimesarticlev2Tests(unittest.TestCase): def __init__(self): self.api_key = os.environ["NYT_API_KEY"]

18.625

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0.738255

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149

5.421053

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0.167785

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7

49

21.285714

0.822581

0

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0.4

0

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null

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1

0

null

0

1

0

1

0

4

5f2860b8b5af73c01b7e4adfa2a123a1e55d46c1

299

py

Python

src/pyucis/source_file.py

cmarqu/pyucis

ea080ea1fb09be5d1a1e6eabe83f205a7d17d229

[ "Apache-2.0" ]

null

src/pyucis/source_file.py

cmarqu/pyucis

ea080ea1fb09be5d1a1e6eabe83f205a7d17d229

[ "Apache-2.0" ]

null

src/pyucis/source_file.py

cmarqu/pyucis

ea080ea1fb09be5d1a1e6eabe83f205a7d17d229

[ "Apache-2.0" ]

null

''' Created on Jan 5, 2020 @author: ballance ''' from pyucis.unimpl_error import UnimplError class SourceFile(): def __init__(self): pass def getFilename(self) -> str: raise UnimplError() def setFilename(self, filename : str): raise UnimplError()

17.588235

43

0.622074

32

299

5.65625

0.75

0.088398

0.209945

0

0.023148

0.277592

299

17

44

17.588235

0.814815

0.137124

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false

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null

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1

0

null

0

1

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1

0

1

0

4

a02b9b9f5fe976e83ab6d47cd93fc9e1f1e1c34e

5,525

py

Python

lib/VAE.py

nkaeming/unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data

5f63ca8990f1aac2df2cbbc15529e892d945241f

[ "MIT" ]

6

2021-04-01T14:06:09.000Z

2022-03-16T09:39:21.000Z

lib/VAE.py

nkaeming/unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data

5f63ca8990f1aac2df2cbbc15529e892d945241f

[ "MIT" ]

null

lib/VAE.py

nkaeming/unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data

5f63ca8990f1aac2df2cbbc15529e892d945241f

[ "MIT" ]

1

2021-03-20T12:49:53.000Z

import tensorflow as tf class CVAE(tf.keras.Model): """Convolutional variational autoencoder.""" def __init__(self, latent_dim, encoder, decoder): super(CVAE, self).__init__() self.latent_dim = latent_dim self.encoder = encoder self.decoder = decoder @tf.function def dephase(self, x, phase): mean, logvar = self.encode(x) reparam = self.reparameterize(mean, logvar) return self.decode(reparam, phase, apply_sigmoid=True) def encode(self, x): mean, logvar = tf.split(self.encoder(x), num_or_size_splits=2, axis=1) return mean, logvar def reparameterize(self, mean, logvar): eps = tf.random.normal(shape=mean.shape) return eps * tf.exp(logvar * .5) + mean def decode(self, z, phase, apply_sigmoid=False): phase = tf.expand_dims(phase, 1) logits = self.decoder(tf.concat((z, phase), axis=1)) if apply_sigmoid: probs = tf.sigmoid(logits) return probs return logits class CVAEStride(CVAE): def __init__(self, latent_dim: int, image_size: int, kernel_size: int = 3, en_filter_1: int = 64, en_filter_2: int = 81, en_filter_3: int = 128, de_filter_1: int = 128, de_filter_2: int = 81, de_filter_3: int = 64, decoder_fc: int = 32): encoder = tf.keras.Sequential( [ tf.keras.layers.InputLayer(input_shape=(image_size, image_size, 1)), tf.keras.layers.Conv2D( filters=en_filter_1, kernel_size=kernel_size, strides=(2, 2), activation='relu'), tf.keras.layers.Conv2D( filters=en_filter_2, kernel_size=kernel_size, strides=(2, 2), activation='relu'), tf.keras.layers.Conv2D( filters=en_filter_3, kernel_size=kernel_size, strides=(2, 2), activation='relu'), tf.keras.layers.Flatten(), # No activation tf.keras.layers.Dense(latent_dim + latent_dim), ] ) decoder = tf.keras.Sequential( [ tf.keras.layers.InputLayer(input_shape=(latent_dim + 1,)), tf.keras.layers.Dense(units=7 * 7 * decoder_fc, activation='relu'), tf.keras.layers.Reshape(target_shape=(7, 7, decoder_fc)), tf.keras.layers.Conv2DTranspose( filters=de_filter_1, kernel_size=kernel_size, strides=2, padding='same', activation='relu'), tf.keras.layers.Conv2DTranspose( filters=de_filter_2, kernel_size=kernel_size, strides=2, padding='same', activation='relu'), tf.keras.layers.Conv2DTranspose( filters=de_filter_3, kernel_size=kernel_size, strides=2, padding='same', activation='relu'), # No activation tf.keras.layers.Conv2DTranspose( filters=1, kernel_size=kernel_size, strides=1, padding='same'), ] ) super(CVAEStride, self).__init__(latent_dim, encoder, decoder) class CVAEPooling(CVAE): def __init__(self, latent_dim: int, image_size: int, kernel_size: int = 3, en_filter_1: int = 64, en_filter_2: int = 81, en_filter_3: int = 128, de_filter_1: int = 128, de_filter_2: int = 81, de_filter_3: int = 64, decoder_fc: int = 32): encoder = tf.keras.Sequential( [ tf.keras.layers.InputLayer(input_shape=(image_size, image_size, 1)), # 56 56 1 tf.keras.layers.Conv2D( filters=en_filter_1, kernel_size=kernel_size, strides=(1, 1), activation='relu'), # 56 56 64 tf.keras.layers.MaxPool2D((2, 2)), # 28 28 64 tf.keras.layers.Conv2D( filters=en_filter_2, kernel_size=kernel_size, strides=(1, 1), activation='relu'), # 28 28 64 tf.keras.layers.MaxPool2D((2, 2)), # 14 14 64 tf.keras.layers.Conv2D( filters=en_filter_3, kernel_size=kernel_size, strides=(1, 1), activation='relu'), # 14 14 128 tf.keras.layers.MaxPool2D((2, 2)), # 7 7 128 tf.keras.layers.Flatten(), # No activation tf.keras.layers.Dense(latent_dim + latent_dim), ] ) decoder = tf.keras.Sequential( [ tf.keras.layers.InputLayer(input_shape=(latent_dim + 1,)), tf.keras.layers.Dense(units=7 * 7 * decoder_fc, activation='relu'), tf.keras.layers.Reshape(target_shape=(7, 7, decoder_fc)), # 7 7 32 tf.keras.layers.Conv2DTranspose( filters=de_filter_1, kernel_size=kernel_size, strides=2, padding='same', activation='relu'), # 14 14 128 tf.keras.layers.Conv2DTranspose( filters=de_filter_2, kernel_size=kernel_size, strides=2, padding='same', activation='relu'), # 28 28 81 tf.keras.layers.Conv2DTranspose( filters=de_filter_3, kernel_size=kernel_size, strides=2, padding='same', activation='relu'), # 56 56 64 tf.keras.layers.Conv2DTranspose( filters=1, kernel_size=kernel_size, strides=1, padding='same'), # 56 56 1 ] ) super(CVAEPooling, self).__init__(latent_dim, encoder, decoder)

46.428571

125

0.571765

669

5,525

4.512706

0.137519

0.078834

0.124876

0.092746

0.76681

0.756211

0.729381

0.717125

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0

0.049724

0.312036

5,525

118

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0

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0

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0.070707

false

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0

null

0

1

0

1

0

null

0

4

a06416b8f2fcb4a4383a3e4d4285d12d62890263

2,191

py

Python

application_form/migrations/0010_remove_models.py

frwickst/apartment-application-service

40387327a0f82ba01bfcb6ab8532ea4aec40d37a

[ "MIT" ]

1

2021-03-15T11:29:12.000Z

application_form/migrations/0010_remove_models.py

frwickst/apartment-application-service

40387327a0f82ba01bfcb6ab8532ea4aec40d37a

[ "MIT" ]

130

2020-09-07T08:30:29.000Z

2022-03-29T11:49:27.000Z

application_form/migrations/0010_remove_models.py

frwickst/apartment-application-service

40387327a0f82ba01bfcb6ab8532ea4aec40d37a

[ "MIT" ]

4

2020-09-07T05:34:13.000Z

2021-11-07T12:51:21.000Z

# Generated by Django 2.2.21 on 2021-05-19 06:59 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ("application_form", "0009_blank_rejection_description"), ] operations = [ migrations.RemoveField( model_name="hasoapartmentpriority", name="apartment", ), migrations.RemoveField( model_name="hasoapartmentpriority", name="haso_application", ), migrations.RemoveField( model_name="historicalapartment", name="history_user", ), migrations.RemoveField( model_name="historicalhasoapartmentpriority", name="apartment", ), migrations.RemoveField( model_name="historicalhasoapartmentpriority", name="haso_application", ), migrations.RemoveField( model_name="historicalhasoapartmentpriority", name="history_user", ), migrations.RemoveField( model_name="historicalhasoapplication", name="history_user", ), migrations.RemoveField( model_name="historicalhitasapplication", name="apartment", ), migrations.RemoveField( model_name="historicalhitasapplication", name="history_user", ), migrations.RemoveField( model_name="hitasapplication", name="apartment", ), migrations.DeleteModel( name="Apartment", ), migrations.DeleteModel( name="HasoApartmentPriority", ), migrations.DeleteModel( name="HasoApplication", ), migrations.DeleteModel( name="HistoricalApartment", ), migrations.DeleteModel( name="HistoricalHasoApartmentPriority", ), migrations.DeleteModel( name="HistoricalHasoApplication", ), migrations.DeleteModel( name="HistoricalHitasApplication", ), migrations.DeleteModel( name="HitasApplication", ), ]

28.089744

65

0.566408

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2,191

8.912409

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0.17199

0.21294

0.2457

0.570025

0.511057

0.227682

0

0.013793

0.338202

2,191

77

66

28.454545

0.828276

0.020995

0

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1

0

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0

1

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false

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0

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0

null

0

1

0

1

0

null

0

4

a06dc8a7dc1f96f1bea6e74a75716b28bdc5a94d

804

py

Python

deep-rl/lib/python2.7/site-packages/OpenGL/GL/SGIX/calligraphic_fragment.py

ShujaKhalid/deep-rl

99c6ba6c3095d1bfdab81bd01395ced96bddd611

[ "MIT" ]

87

2015-04-09T16:57:27.000Z

2022-02-21T13:21:12.000Z

deep-rl/lib/python2.7/site-packages/OpenGL/GL/SGIX/calligraphic_fragment.py

ShujaKhalid/deep-rl

99c6ba6c3095d1bfdab81bd01395ced96bddd611

[ "MIT" ]

47

2015-04-09T21:05:30.000Z

2021-06-22T15:21:18.000Z

deep-rl/lib/python2.7/site-packages/OpenGL/GL/SGIX/calligraphic_fragment.py

ShujaKhalid/deep-rl

99c6ba6c3095d1bfdab81bd01395ced96bddd611

[ "MIT" ]

16

2015-04-09T19:10:22.000Z

2020-07-19T05:41:06.000Z

'''OpenGL extension SGIX.calligraphic_fragment This module customises the behaviour of the OpenGL.raw.GL.SGIX.calligraphic_fragment to provide a more Python-friendly API The official definition of this extension is available here: http://www.opengl.org/registry/specs/SGIX/calligraphic_fragment.txt ''' from OpenGL import platform, constant, arrays from OpenGL import extensions, wrapper import ctypes from OpenGL.raw.GL import _types, _glgets from OpenGL.raw.GL.SGIX.calligraphic_fragment import * from OpenGL.raw.GL.SGIX.calligraphic_fragment import _EXTENSION_NAME def glInitCalligraphicFragmentSGIX(): '''Return boolean indicating whether this extension is available''' from OpenGL import extensions return extensions.hasGLExtension( _EXTENSION_NAME ) ### END AUTOGENERATED SECTION

34.956522

71

0.817164

104

804

6.211538

0.5

0.092879

0.185759

0.069659

0.193498

0.139319

0

0.116915

804

23

72

34.956522

0.909859

0.482587

0

1

0.111111

true

0

0.777778

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

a0975e014ddf87b5af85686e9a8dbac4cd12f6cc

1,055

py

Python

4/state/StateSwitcher.py

ytyaru/Pygame.GameState.201707251432

c2a67c9f0c6ff9ee5c495be02d8c775b897f16d2

[ "CC0-1.0" ]

null

4/state/StateSwitcher.py

ytyaru/Pygame.GameState.201707251432

c2a67c9f0c6ff9ee5c495be02d8c775b897f16d2

[ "CC0-1.0" ]

null

4/state/StateSwitcher.py

ytyaru/Pygame.GameState.201707251432

c2a67c9f0c6ff9ee5c495be02d8c775b897f16d2

[ "CC0-1.0" ]

null

import pygame from pygame.locals import * from abc import ABCMeta, abstractmethod from .GameState import GameState from .SelectState import SelectState from .AnimateState import AnimateState from .ResultState import ResultState class StateSwitcher: def __init__(self): self.__states = [c(self) for c in [SelectState, AnimateState, ResultState]] self.__now_state_index = 0 def Next(self): self.__now_state_index += 1 if len(self.__states)-1 < self.__now_state_index: self.__now_state_index = 0 def Prev(self): self.__now_state_index -= 1 if self.__now_state_index < 0: self.__now_state_index = len(self.__states)-1 def First(self): self.__now_state_index = 0 def Last(self): self.__now_state_index = len(self.__states)-1 def Select(self, cls): if not issubclass(cls, GameState): return for i, ins in enumerate(self.__states): if cls == type(ins): self.__now_state_index = i @property def State(self): return self.__states[self.__now_state_index]

37.678571

84

0.709005

147

1,055

4.680272

0.278912

0.111919

0.19186

0.271802

0.297965

0.260174

0.168605

0.098837

0

0.010676

0.200948

1,055

27

85

39.074074

0.805457

0

1

0.28

false

0

0.28

0.04

0.6

0

null

0

1

0

null

0

1

0

1

0

4

a0c460cb009cfb6197f4b632aabc49e5b862ee21

558

py

Python

race_service/adapters/__init__.py

langrenn-sprint/race-service

a5f3ca8d381e8e4d81bae25cccee0cb47b64400b

[ "Apache-2.0" ]

null

race_service/adapters/__init__.py

langrenn-sprint/race-service

a5f3ca8d381e8e4d81bae25cccee0cb47b64400b

[ "Apache-2.0" ]

62

2021-09-14T18:47:38.000Z

2022-03-21T22:14:20.000Z

race_service/adapters/__init__.py

langrenn-sprint/race-service

a5f3ca8d381e8e4d81bae25cccee0cb47b64400b

[ "Apache-2.0" ]

null

"""Package for all adapters.""" from .events_adapter import ( ContestantsNotFoundException, EventNotFoundException, EventsAdapter, FormatConfigurationNotFoundException, RaceclassesNotFoundException, ) from .race_results_adapter import RaceResultsAdapter from .raceplans_adapter import RaceplansAdapter from .races_adapter import RacesAdapter from .start_entries_adapter import StartEntriesAdapter from .startlists_adapter import StartlistsAdapter from .time_events_adapter import TimeEventsAdapter from .users_adapter import UsersAdapter

34.875

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0.849462

51

558

9.078431

0.568627

0.224622

0.082073

0

0.111111

558

15

55

37.2

0.933468

0.044803

0

1

0

true

0

0.571429

0

0.571429

0

null

1

0

null

0

1

0

1

0

1

0

4

26312aa93e08ac0036dd94b9667a046324511b55

163

py

Python

answers/AkshajV1309/Day3/D3Q2.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

22

2021-03-16T14:07:47.000Z

2021-08-13T08:52:50.000Z

answers/AkshajV1309/Day3/D3Q2.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

174

2021-03-16T21:16:40.000Z

2021-06-12T05:19:51.000Z

answers/AkshajV1309/Day3/D3Q2.py

arc03/30-DaysOfCode-March-2021

6d6e11bf70280a578113f163352fa4fa8408baf6

[ "MIT" ]

135

2021-03-16T16:47:12.000Z

2021-06-27T14:22:38.000Z

og=list(input("Enter number ")) new=set(og) print("".join(og),"is a Unique Number") if len(new)==len(og) else print("".join(og),"is not a Unique Number")

23.285714

109

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163

3.517241

0.551724

0.176471

0.215686

0.254902

0

0.153374

163

6

110

27.166667

0.73913

0

0.325153

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0

0.333333

1

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0

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0

4

2655094988cacbab449d54b515d8fca1ad43ea7e

1,309

py

Python

src/model.py

skvis/Text_Generation_Using_LSTM

87ae1a75173bc219a9b1e869e41346c8a57d23f4

[ "MIT" ]

null

src/model.py

skvis/Text_Generation_Using_LSTM

87ae1a75173bc219a9b1e869e41346c8a57d23f4

[ "MIT" ]

null

src/model.py

skvis/Text_Generation_Using_LSTM

87ae1a75173bc219a9b1e869e41346c8a57d23f4

[ "MIT" ]

null

import config import tensorflow as tf import joblib from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Embedding, Bidirectional, LSTM, Dense, Dropout def rnn(): vocab_size = joblib.load(f'{config.MODEL_PATH}vocab_size.pkl') max_length = joblib.load(f"{config.MODEL_PATH}max_len.pkl") model = Sequential() model.add(Embedding(vocab_size, config.EMBEDDING_DIM, input_length=max_length-1)) model.add(Dropout(0.2)) model.add(Bidirectional(LSTM(150, return_sequences=True))) model.add(Dropout(0.2)) model.add(Bidirectional(LSTM(70))) model.add(Dropout(0.2)) model.add(Dense(32, activation='relu')) model.add(Dropout(0.2)) model.add(Dense(16, activation='relu')) model.add(Dropout(0.2)) model.add(Dense(vocab_size, activation='softmax')) return model def rnn1(): vocab_size = joblib.load(f'{config.MODEL_PATH}vocab_size.pkl') max_length = joblib.load(f"{config.MODEL_PATH}max_len.pkl") model = Sequential() model.add(Embedding(vocab_size, config.EMBEDDING_DIM, input_length=max_length-1)) model.add(Bidirectional(LSTM(150))) model.add(Dense(vocab_size, activation='softmax')) return model

29.75

82

0.669977

175

1,309

4.88

0.257143

0.131148

0.087822

0.093677

0.775176

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0.713115

0.522248

0

0.023901

0.200917

1,309

43

83

30.44186

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0

0.636364

0

0.113063

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1

0.060606

false

0

0.151515

0

0.272727

0

null

0

1

0

null

0

4

cd0f94914332e937ad7f2ba45e3e4120e805d558

33

py

Python

tests/__init__.py

cmsteffen-code/steffentools

af26d7e9e7e0e749c4ffbe23bfdd407bd20f0dbe

[ "MIT" ]

null

tests/__init__.py

cmsteffen-code/steffentools

af26d7e9e7e0e749c4ffbe23bfdd407bd20f0dbe

[ "MIT" ]

null

tests/__init__.py

cmsteffen-code/steffentools

af26d7e9e7e0e749c4ffbe23bfdd407bd20f0dbe

[ "MIT" ]

null

"""SteffenTools Tests Module."""

16.5

32

0.69697

3

33

7.666667

1

0

0.090909

33

1

33

0.766667

0.787879

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

cd139569d323f2ae0c0543c420264ace83419781

43

py

Python

Ladder 11/Python/054.Little Elephant and Function.py

purush34/a2oj-solutions

1ce6e2647b2f2ae47d3c03337ae4af1a7d5c8edb

[ "MIT" ]

null

Ladder 11/Python/054.Little Elephant and Function.py

purush34/a2oj-solutions

1ce6e2647b2f2ae47d3c03337ae4af1a7d5c8edb

[ "MIT" ]

1

2021-12-01T06:53:18.000Z

2021-12-01T07:09:31.000Z

Ladder 11/Python/054.Little Elephant and Function.py

purush34/a2oj-solutions

1ce6e2647b2f2ae47d3c03337ae4af1a7d5c8edb

[ "MIT" ]

4

2021-10-31T16:36:28.000Z

2021-12-01T05:48:31.000Z

x = int(input()) print(x,*list(range(1,x)))

21.5

26

0.604651

9

43

2.888889

0.777778

0

0.025

0.069767

43

2

26

21.5

0.625

0

1

0

false

0

0.5

1

0

null

0

1

0

null

0

1

0

4

cd24e98cf82cdd9b7bdb1b3f42b7116059e387c1

101

py

Python

rep/test/__init__.py

HolyBayes/rep

8a8d70f87e148e6fd73ff0c3a8606e6074a5c47b

[ "Apache-2.0" ]

726

2015-04-16T08:16:30.000Z

2022-03-25T19:19:42.000Z

rep/test/__init__.py

HolyBayes/rep

8a8d70f87e148e6fd73ff0c3a8606e6074a5c47b

[ "Apache-2.0" ]

86

2015-04-16T23:57:01.000Z

2021-09-26T01:03:47.000Z

rep/test/__init__.py

HolyBayes/rep

8a8d70f87e148e6fd73ff0c3a8606e6074a5c47b

[ "Apache-2.0" ]

167

2015-04-16T11:42:18.000Z

2022-01-11T15:10:19.000Z

from __future__ import division, print_function, absolute_import __author__ = 'Tatiana Likhomanenko'

33.666667

64

0.851485

11

101

6.909091

0.909091

0

0.09901

101

3

65

33.666667

0.835165

0

0.196078

0

1

0

false

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

cd3cfae98e656e08089ce3cfa8ec28672d50ab0e

185

py

Python

00-09/08.py

emergent/nlp100.python

636546ce1c4368faa6685eec315773c5c9fb424a

[ "Apache-2.0" ]

null

00-09/08.py

emergent/nlp100.python

636546ce1c4368faa6685eec315773c5c9fb424a

[ "Apache-2.0" ]

null

00-09/08.py

emergent/nlp100.python

636546ce1c4368faa6685eec315773c5c9fb424a

[ "Apache-2.0" ]

null

def cipher(s): return ''.join((map(lambda c: chr(219-ord(c)) if 97 <= ord(c) <= 122 else c, s))) print(cipher('Anyone who has never made a mistake has never tried anything new.'))

37

85

0.654054

34

185

3.558824

0.764706

0.066116

0

0.052288

0.172973

185

4

86

46.25

0.738562

0

0.351351

0

1

0.333333

false

0

0.333333

0.666667

0.333333

0

null

0

1

0

null

0

1

0

1

0

4

26a66cc4e862c3f894e261974698f35489234b02

208

py

Python

common/WebError.py

daijingjing/tornado_web_base

e0f76e847843354ee0b6e8d9e80a09c602b9cd29

[ "MIT" ]

null

common/WebError.py

daijingjing/tornado_web_base

e0f76e847843354ee0b6e8d9e80a09c602b9cd29

[ "MIT" ]

null

common/WebError.py

daijingjing/tornado_web_base

e0f76e847843354ee0b6e8d9e80a09c602b9cd29

[ "MIT" ]

null

# -*- encoding: utf-8 -*- class WebError(Exception): def __init__(self, code, message=''): Exception.__init__(self) self.code = code self.message = message def __str__(self): return self.message

17.333333

38

0.682692

26

208

5

0.5

0.123077

0

0.00578

0.168269

208

11

39

18.909091

0.745665

0.110577

0

1

0.285714

false

0

0.142857

0.571429

0

1

0

null

0

null

0

1

0

1

0

4

26e94ae3453e647f5d08c9a0666d5c210f15d02d

194

py

Python

tests/mocks/urllib2/mock_http_error.py

tervay/the-blue-alliance

e14c15cb04b455f90a2fcfdf4c1cdbf8454e17f8

[ "MIT" ]

266

2015-01-04T00:10:48.000Z

2022-03-28T18:42:05.000Z

tests/mocks/urllib2/mock_http_error.py

gregmarra/the-blue-alliance

5bedaf5c80b4623984760d3da3289640639112f9

[ "MIT" ]

2,673

2015-01-01T20:14:33.000Z

2022-03-31T18:17:16.000Z

tests/mocks/urllib2/mock_http_error.py

gregmarra/the-blue-alliance

5bedaf5c80b4623984760d3da3289640639112f9

[ "MIT" ]

230

2015-01-04T00:10:48.000Z

2022-03-26T18:12:04.000Z

from urllib2 import HTTPError class MockHTTPError(HTTPError): def __init__(self, code): super(MockHTTPError, self).__init__('https://thebluealliance.com', code, 'mock', {}, None)

24.25

98

0.706186

21

194

6.142857

0.761905

0

0.006098

0.154639

194

7

99

27.714286

0.780488

0

0.159794

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f816a4eff155db38439535b0fb2058c2d686489f

50

py

Python

boa3_test/example/arithmetic_test/Concatenation.py

jplippi/neo3-boa

052be4adebb665113715bb80067d954f7ad85ad5

[ "Apache-2.0" ]

null

boa3_test/example/arithmetic_test/Concatenation.py

jplippi/neo3-boa

052be4adebb665113715bb80067d954f7ad85ad5

[ "Apache-2.0" ]

null

boa3_test/example/arithmetic_test/Concatenation.py

jplippi/neo3-boa

052be4adebb665113715bb80067d954f7ad85ad5

[ "Apache-2.0" ]

null

def Main(a: str, b: str) -> str: return a + b

16.666667

32

0.52

10

50

2.6

0.6

0

0.3

50

2

33

25

0.742857

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

f8220c2cb811e661612f67d009da7a137c883c60

35

py

Python

homeassistant/components/alpha_vantage/__init__.py

petewill/home-assistant

5859dba4344f05fb8774aa1207e47ac28f627a67

[ "Apache-2.0" ]

4

2019-07-03T22:36:57.000Z

2019-08-10T15:33:25.000Z

homeassistant/components/alpha_vantage/__init__.py

petewill/home-assistant

5859dba4344f05fb8774aa1207e47ac28f627a67

[ "Apache-2.0" ]

39

2016-12-16T12:40:34.000Z

2017-02-13T17:53:42.000Z

homeassistant/components/alpha_vantage/__init__.py

petewill/home-assistant

5859dba4344f05fb8774aa1207e47ac28f627a67

[ "Apache-2.0" ]

6

2020-04-10T06:21:11.000Z

2021-07-01T08:53:38.000Z

"""The alpha_vantage component."""

17.5

34

0.714286

4

35

6

1

0

0.085714

35

1

35

0.75

0.8

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

f835f60e01f5bbcb14df54904c291b87a317d881

1,180

py

Python

code/python/ForeignExchangeRate/v1/fds/sdk/ForeignExchangeRate/models/__init__.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

6

2022-02-07T16:34:18.000Z

2022-03-30T08:04:57.000Z

code/python/ForeignExchangeRate/v1/fds/sdk/ForeignExchangeRate/models/__init__.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

2

2022-02-07T05:25:57.000Z

2022-03-07T14:18:04.000Z

code/python/ForeignExchangeRate/v1/fds/sdk/ForeignExchangeRate/models/__init__.py

factset/enterprise-sdk

3fd4d1360756c515c9737a0c9a992c7451d7de7e

[ "Apache-2.0" ]

null

# flake8: noqa # import all models into this package # if you have many models here with many references from one model to another this may # raise a RecursionError # to avoid this, import only the models that you directly need like: # from from fds.sdk.ForeignExchangeRate.model.pet import Pet # or import this package, but before doing it, use: # import sys # sys.setrecursionlimit(n) from fds.sdk.ForeignExchangeRate.model.error_response import ErrorResponse from fds.sdk.ForeignExchangeRate.model.error_response_sub_errors import ErrorResponseSubErrors from fds.sdk.ForeignExchangeRate.model.forward import Forward from fds.sdk.ForeignExchangeRate.model.forward_period import ForwardPeriod from fds.sdk.ForeignExchangeRate.model.forwards_request import ForwardsRequest from fds.sdk.ForeignExchangeRate.model.forwards_response import ForwardsResponse from fds.sdk.ForeignExchangeRate.model.frequency import Frequency from fds.sdk.ForeignExchangeRate.model.ids import Ids from fds.sdk.ForeignExchangeRate.model.spot import Spot from fds.sdk.ForeignExchangeRate.model.spots_request import SpotsRequest from fds.sdk.ForeignExchangeRate.model.spots_response import SpotsResponse

51.304348

94

0.85

159

1,180

6.251572

0.396226

0.084507

0.120724

0.350101

0.476861

0.34004

0.094567

0

0.000935

0.094068

1,180

22

95

53.636364

0.928906

0.311864

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

f872a0257f7dd476f03c3ac6e31c2a682173971e

32

py

Python

homeassistant/components/ciscospark/__init__.py

itewk/home-assistant

769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4

[ "Apache-2.0" ]

23

2017-11-15T21:03:53.000Z

2021-03-29T21:33:48.000Z

homeassistant/components/ciscospark/__init__.py

itewk/home-assistant

769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4

[ "Apache-2.0" ]

39

2016-12-16T12:40:34.000Z

2017-02-13T17:53:42.000Z

homeassistant/components/ciscospark/__init__.py

itewk/home-assistant

769cf19052f8c9ef374d8ba8ae7705ccc7bf4cf4

[ "Apache-2.0" ]

10

2018-01-01T00:12:51.000Z

2021-12-21T23:08:05.000Z

"""The ciscospark component."""

16

31

0.6875

3

32

7.333333

1

0

0.09375

32

1

32

0.758621

0.78125

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

6efeec87bcf12a89c0b72c4ff731735678a7ea10

52

py

Python

atmos_space_flight/Python/airflight3dof.py

als0052/AtmosSpaceDynamics

acf20f4ba320f55bf7e33d959539e7938a4b24d2

[ "CNRI-Python" ]

null

atmos_space_flight/Python/airflight3dof.py

als0052/AtmosSpaceDynamics

acf20f4ba320f55bf7e33d959539e7938a4b24d2

[ "CNRI-Python" ]

null

atmos_space_flight/Python/airflight3dof.py

als0052/AtmosSpaceDynamics

acf20f4ba320f55bf7e33d959539e7938a4b24d2

[ "CNRI-Python" ]

null

#!/usr/bin/env python # Filename: airflight3dof.py

13

28

0.730769

7

52

5.428571

1

0

0.021739

0.115385

52

3

29

17.333333

0.804348

0.903846

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

4

3e1080a762ef92ebc27fda63b21bf086bcd145aa

107

py

Python

models/s2cnn/__init__.py

Abdulah-Fawaz/Benchmarking-Surface-DL

9693379f26d57f9aabf28b973f40a9f6f627d26f

[ "MIT" ]

2

2021-12-04T07:04:56.000Z

2021-12-13T16:28:50.000Z

models/s2cnn/__init__.py

Abdulah-Fawaz/Benchmarking-Surface-DL

9693379f26d57f9aabf28b973f40a9f6f627d26f

[ "MIT" ]

1

2021-12-21T09:36:11.000Z

2022-01-25T10:26:43.000Z

models/s2cnn/__init__.py

Abdulah-Fawaz/Benchmarking-Surface-DL

9693379f26d57f9aabf28b973f40a9f6f627d26f

[ "MIT" ]

1

2022-02-27T17:38:19.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Nov 29 10:26:43 2020 @author: fa19 """

11.888889

35

0.588785

18

107

3.5

1

0

0.183908

0.186916

107

8

36

13.375

0.54023

0.878505

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

4

3e1afff7340152a12491e2f0e7d2c4f13ecd9ceb

244

py

Python

clustering/__init__.py

ramansbach/cluster_analysis

6fe0be86cebf34558b501d86905a77c6e0164b5a

[ "MIT" ]

null

clustering/__init__.py

ramansbach/cluster_analysis

6fe0be86cebf34558b501d86905a77c6e0164b5a

[ "MIT" ]

null

clustering/__init__.py

ramansbach/cluster_analysis

6fe0be86cebf34558b501d86905a77c6e0164b5a

[ "MIT" ]

null

from __future__ import absolute_import, division, print_function from .version import __version__ # noqa from .clustering import * # noqa from .smoluchowski import * from .fractald import * from .morphology import * from .visualize import *

30.5

64

0.786885

29

244

6.275862

0.482759

0.164835

0

0.151639

244

7

65

34.857143

0.879227

0.036885

0

1

0

true

0

1

0

1

0.142857

1

0

null

0

1

0

null

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1

0

1

0

4