xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

852c1ffb4e9ad7de58764c9b866d29a7b5402515

9,038

py

Python

app.py

maycongabriel28/Desenvolvimento_web_scikitLearn

80e89cd6616a0cce7311c0fd3a23449d18cd5362

[ "MIT" ]

null

app.py

maycongabriel28/Desenvolvimento_web_scikitLearn

80e89cd6616a0cce7311c0fd3a23449d18cd5362

[ "MIT" ]

null

app.py

maycongabriel28/Desenvolvimento_web_scikitLearn

80e89cd6616a0cce7311c0fd3a23449d18cd5362

[ "MIT" ]

null

# Importa algumas funções do pacote flask para fazer o desenvolvimento de páginas web com python from flask import Flask, flash, redirect, render_template, request, session, abort, url_for import pandas as pd # Maniulação de arquivos import numpy as np # operações matematicas com arrays import sklearn as sk # importa pacate scikit-learn, onde traz algoritmos e recurso de Machine Learnig from modelo_turbidez import dtr, modelo_v1 # importa variveis da arquivo modelo_turbidez.py from modelo_solidos_totais import dts, modelo_v2 # importa variveis da arquivo modelo_solidos_totais.py import os # importa biblioteca para entrada e saída de arquivo app = Flask(__name__) ##################################################################################################################### @app.route("/") # rota principal def index(): #var7= X #var8=Y #var9=df2 return render_template('/pagina_principal/principal.html') # renderiza na página o arquivo HTML e passa o nome da rota ##################################################################################################################### @app.route("/results_tres_marias_turbidez", methods=["GET", "POST"]) # Paginas de resultados # GET = Acessa infromações no servidor # POST = Manda informações para o servidor # Predição Turbidez def resultado_turbidez(): if request.method == "GET": # Verifica se foi feita a busca de dados no servidor return render_template('/resultado_turbidez/tres_marias.html') # renderiza na página o arquivo HTML e passa o nome da rota else: # Acessa nível de cinza passadas para predizer valor de turbidez par = str(request.form.get("parametro")) # Acessa nível de cinza passadas para predizer valor de turbidez valor = str(request.form.get("entrada")) def is_number(num): # Função para verificar se string e numero try: #Try to convert the input. float(num) #If successful, returns true. return True # String é Numero except: #Silently ignores any exception. pass # ignora excessões #If this point was reached, the input is not a number and the function #will return False. return False # String não e numero valor_number = is_number(valor) # Verifica se strig é numero par_string = is_number(par) # Verifica se string é string if par=="" or valor=="" or valor_number==False or par_string==True or (par!="B2" and par!="B3" and par!="B4" and par!="cor_verdadeira_S" and par!="sulfato_S" and par!="turbidez_ZF"): # Condições para fazer predição de turbidez return render_template('/resultado_turbidez/tres_marias_dados.html') # renderiza na página o arquivo HTML e passa o nome da rota ############################################################# # Predizendo valores com entradas informadas pelo usuario # Média dos dados contidos nas colunas dos dados de treinamento (X_treino) vec_dados=np.array([[dtr['B2'].mean(), dtr['B3'].mean(), dtr['B4'].mean(), dtr['cor_verdadeira_S'].mean(), dtr['sulfato_S'].mean(), dtr['turbidez_ZF'].mean()]]) # Cria Dataframe com média dos dados de treinamento (X_treino) dtp=pd.DataFrame(vec_dados, columns=['B2', 'B3', 'B4', 'cor_verdadeira_S', 'sulfato_S', 'turbidez_ZF']) if par=="B2" or par=="B3" or par=="B4": # verifica se ira fazer predição com bandas ou parâmetros limnologicos # Adiciona valores realciondos algum dos parâmetros preditores (B2, B3, B4) dtp[par] = np.array([[float(valor)/10]]) # A divisão por 10 e para fazer a normalização do valor a ser predito (NORMALIZAÇÃO APENAS PARA AS BANDAS) else: # Adiciona valores realciondos algum dos parâmetros preditores (cor_verdadeira_S, sulfato_S, turbidez_ZF) dtp[par] = np.array([[float(valor)]]) # Nova variavel preditora # Predição de novos valores com dados de entrada do usuario pred=modelo_v1.predict(dtp) if pred < 0: # Se valor de resultado de predição for menor que zero return render_template('/resultado_turbidez/tres_marias_resultado_negativo.html') # renderiza na página o arquivo HTML e passa o nome da rota return render_template('/resultado_turbidez/tres_marias.html', variavel=par, variavel1=pred) # renderiza na página o arquivo HTML e passa o nome da rota ##################################################################################################################### @app.route("/results_tres_marias_solidos_totais", methods=["GET", "POST"]) # Paginas de resultados # GET = Acessa infromações no servidor # POST = Manda informações para o servidor # Predição Sólidos totais def resultado_solidos_totais(): if request.method == "GET": # Verifica se foi feita a busca de dados no servidor return render_template('/resultado_solidos_totais/tres_marias.html') # renderiza na página o arquivo HTML e passa o nome da rota else: # Acessa nível de cinza passadas para predizer valor de turbidez par = str(request.form.get("parametro")) # Acessa nível de cinza passadas para predizer valor de turbidez valor = str(request.form.get("entrada")) def is_number(num): # Função para verificar se string e numero try: #Try to convert the input. float(num) #If successful, returns true. return True # String é Numero except: #Silently ignores any exception. pass # ignora excessões #If this point was reached, the input is not a number and the function #will return False. return False # String não e numero valor_number = is_number(valor) # Verifica se strig é numero par_string = is_number(par) # Verifica se string é string if par=="" or valor=="" or valor_number==False or par_string==True or (par!="B1" and par!="B2" and par!="B4" and par!="B55" and par!="B6" and par!="B7" and par!="sdt_S" and par!="sulfato_S"): # Condições para fazer predição de turbidez return render_template('/resultado_solidos_totais/tres_marias_dados.html') # renderiza na página o arquivo HTML e passa o nome da rota ############################################################# # Predizendo valores com entradas informadas pelo usuario # Média dos dados contidos nas colunas dos dados de treinamento (X_treino) vec_dados=np.array([[dts['B1'].mean(), dts['B2'].mean(), dts['B4'].mean(), dts['B55'].mean(), dts['B6'].mean(), dts['B7'].mean(), dts['sdt_S'].mean(), dts['sulfato_S'].mean()]]) # Cria Dataframe com média dos dados de treinamento (X_treino) dtp=pd.DataFrame(vec_dados, columns=['B1', 'B2', 'B4', 'B55', 'B6', 'B7', 'sdt_S', 'sulfato_S']) if par=="B1" or par=="B2" or par=="B4" or par=="B55" or par=="B6" or par=="B7": # verifica se ira fazer predição com bandas ou parâmetros limnologicos # Adiciona valores realciondos algum dos parâmetros preditores (B2, B3, B4) dtp[par] = np.array([[float(valor)/10]]) # A divisão por 10 e para fazer a normalização do valor a ser predito (NORMALIZAÇÃO APENAS PARA AS BANDAS) else: # Adiciona valores realciondos algum dos parâmetros preditores (cor_verdadeira_S, sulfato_S, turbidez_ZF) dtp[par] = np.array([[float(valor)]]) # Nova variavel preditora # Predição de novos valores com dados de entrada do usuario pred=modelo_v2.predict(dtp) if pred < 0: # Se valor de resultado de predição for menor que zero return render_template('/resultado_solidos_totais/tres_marias_resultado_negativo.html') # renderiza na página o arquivo HTML e passa o nome da rota return render_template('/resultado_solidos_totais/tres_marias.html', variavel=par, variavel1=pred) # renderiza na página o arquivo HTML e passa o nome da rota ##################################################################################################################### if __name__=='main': port = int(os.getenv('PORT'), '5050') app.run(host='0.0.0.0', port = port) if __name__=="__main__": # Verifica se __name__ esta contido neste script app.run(debug=True) # Executa este script, definindo endereço do servidor que ira rodar a aplicação e a porta # COMANDO PARA CRIAR ARQUIVO REQUIREMENTS.TXT # pip list --format=freeze > requirements.txt #ACESSAE SITE # https://plattform.herokuapp.com/ #PALETA DE CORES USADA_Dividir complementar duas vezes #0117DB (principal fica no meio) #670BDB #DB8816 #DBD816 #0B8DDB

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0

5

5175d48afd04a7392c4403801d40f8c70b191d45

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py

Python

Ta-Irikulau/framework/pomdp/model/reward.py

mjtsai1974/DevBlog

f1429e28e7ea618a64f5e111be4d7f42ae616ce8

[ "MIT" ]

null

Ta-Irikulau/framework/pomdp/model/reward.py

mjtsai1974/DevBlog

f1429e28e7ea618a64f5e111be4d7f42ae616ce8

[ "MIT" ]

null

Ta-Irikulau/framework/pomdp/model/reward.py

mjtsai1974/DevBlog

f1429e28e7ea618a64f5e111be4d7f42ae616ce8

[ "MIT" ]

null

class RewardModel(object): def __init__(self): self._reward_matrix = dict() def __str__(self): str = '' for k, v in self._reward_matrix.items(): str += '{}:{}\n'.format(k, v) return str @property def reward_matrix(self): return self._reward_matrix """ Configure the reward of o from state sj by action a """ def ConfigureRewardMatrix(self, o, sj, a, val): self._reward_matrix['{},{},{}'.format(o.Name, sj.Name, a.Name)] = val self._reward_matrix[o, sj, a] = val def GetRwrardByActionStateObservation(self, o, sj, a): return self._reward_matrix.get('{},{},{}'.format(o.Name, sj.Name, a.Name)) #return self._reward_matrix[o, sj, a]

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5

cfb26551b355215f26f150f9da26f4896eb93193

6,621

py

Python

test_geo.py

oca21/PartIA-Flood-Warning-System

aac3c429b6629cf30f3b99d8aabb736cfc7316fa

[ "MIT" ]

2

2022-02-06T18:26:48.000Z

test_geo.py

oca21/PartIA-Flood-Warning-System

aac3c429b6629cf30f3b99d8aabb736cfc7316fa

[ "MIT" ]

null

test_geo.py

oca21/PartIA-Flood-Warning-System

aac3c429b6629cf30f3b99d8aabb736cfc7316fa

[ "MIT" ]

null

#TESTING GEO.PY# from floodsystem.geo import stations_by_distance from floodsystem.geo import stations_within_radius from floodsystem.geo import stations_by_distance, rivers_with_station, stations_by_river, rivers_by_station_number from floodsystem.station import MonitoringStation #Test Task 1B #----------------------------------------------------- #Test haversine function def test_haversine(): from haversine import haversine Coord1=(0.0,0.0) Coord2=(0.1,7.0) Coord3=(1.0,2.0) assert haversine(Coord1, Coord1)==0 assert round(haversine(Coord2, Coord1), 1)==778.4 assert round(haversine(Coord3, Coord1),1)==248.6 #test stations_by_distance def test_stations_by_distance(): s_id = "testSid1" m_id = "testMid1" label = "TS1" coord = (1.0, 4.0) trange = (-2, 5) river = "River 1" town = "My Town 1" Test1 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid2" m_id = "testMid2" label = "TS2" coord = (0.0, 1.0) trange = (-2, 2) river = "River 2" town = "Town 2" Test2 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid3" m_id = "testMid3" label = "TS3" coord = (1.0, 1.0) trange = (-2, 2) river = "River 3" town = "Town 3" Test3 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) stations=[Test1, Test2, Test3] TestResult=stations_by_distance(stations, (0, 0)) assert (TestResult[0][0], TestResult[1][0], TestResult[2][0]) == (Test2, Test3, Test1) #Test Task 1C #----------------------------------------------------- def test_stations_within_radius(): # Create a station s_id = "test-s-id" m_id = "test-m-id" label = "a" coord = (-0.1, 0.03) trange = (-2.3, 3.4445) river = "River X" town = "My Town" a = MonitoringStation(s_id, m_id, label, coord, trange, river, town) # Create a station s_id = "test-s-id" m_id = "test-m-id" label = "b" coord = (0.1, 0.12) trange = (5.2, 3.4445) river = "River X" town = "My Town" b = MonitoringStation(s_id, m_id, label, coord, trange, river, town) # Create a station s_id = "test-s-id" m_id = "test-m-id" label = "c" coord = (-2.0, 4.0) trange = None river = "River X" town = "My Town" c = MonitoringStation(s_id, m_id, label, coord, trange, river, town) stations = [a, b, c] stations_near_origin = sorted(stations_within_radius(stations, (0,0), 18)) print(stations_near_origin) return stations_near_origin #print(a.name,b.name) assert stations_near_origin == [a.name, b.name] #print(test_stations_within_radius()) #Test Task 1D #----------------------------------------------------- #test stations_by_river def test_stations_by_river(): s_id = "testSid1" m_id = "testMid1" label = "TS1" coord = (1.0, 4.0) trange = (-2, 5) river = "River Thames" town = "My Town 1" Test1 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid2" m_id = "testMid2" label = "TS2" coord = (0.0, 1.0) trange = (-2, 2) river = "River Thames" town = "Town 2" Test2 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid3" m_id = "testMid3" label = "TS3" coord = (1.0, 1.0) trange = (-2, 2) river = "River 3" town = "Town 3" Test3 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) stations=[Test1, Test2, Test3] assert sorted(stations_by_river(stations)['River Thames']) == [Test1.name, Test2.name] #test rivers_with_stations def test_rivers_with_stations(): s_id = "testSid1" m_id = "testMid1" label = "TS1" coord = (1.0, 4.0) trange = (-2, 5) river = "River Thames" town = "My Town 1" Test1 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid2" m_id = "testMid2" label = "TS2" coord = (0.0, 1.0) trange = (-2, 2) river = "River Thames" town = "Town 2" Test2 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid3" m_id = "testMid3" label = "TS3" coord = (1.0, 1.0) trange = (-2, 2) river = "River 3" town = "Town 3" Test3 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) stations=[Test1, Test2, Test3] assert rivers_with_station(stations) == {'River 3', 'River Thames'} #Test1C #Test Task 1E #----------------------------------------------------- def test_rivers_by_station_number(): s_id = "testSid1" m_id = "testMid1" label = "TS1" coord = (1.0, 4.0) trange = (-2, 5) river = "River Thames" town = "My Town 1" Test1 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid2" m_id = "testMid2" label = "TS2" coord = (0.0, 1.0) trange = (-2, 2) river = "River Thames" town = "Town 2" Test2 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) s_id = "testSid3" m_id = "testMid3" label = "TS3" coord = (1.0, 1.0) trange = (-2, 2) river = "River 3" town = "Town 3" Test3 = MonitoringStation(s_id, m_id, label, coord, trange, river, town) stations=[Test1, Test2, Test3] #Test Task1C#------------------------------ def test_stations_within_radius(): # Create a station return s_id = "test-s-id" m_id = "test-m-id" label = "a" coord = (-0.1, 0.03) trange = (-2.3, 3.4445) river = "River X" town = "My Town" a = MonitoringStation(s_id, m_id, label, coord, trange, river, town) # Create a station s_id = "test-s-id" m_id = "test-m-id" label = "b" coord = (0.1, 0.12) trange = (5.2, 3.4445) river = "River X" town = "My Town" b = MonitoringStation(s_id, m_id, label, coord, trange, river, town) # Create a station s_id = "test-s-id" m_id = "test-m-id" label = "c" coord = (-2.0, 4.0) trange = None river = "River X" town = "My Town" c = MonitoringStation(s_id, m_id, label, coord, trange, river, town) stations = [a, b, c] stations_near_origin = sorted(stations_within_radius(stations, (0,0), 18)) assert stations_near_origin == [a.name, b.name] assert rivers_by_station_number(stations,2)[0][0] == "River Thames" assert rivers_by_station_number(stations,2)[0][1] == 2 assert rivers_by_station_number(stations,2)[1][0] == "River 3" assert rivers_by_station_number(stations,2)[1][1] == 1

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5

cfc6cd1bf10d8e93c2150078e6bc1f8ebe2b6a45

35

py

Python

test1.py

kenyonej/PyPlusTraining

1e0d41745e02a4dc1491be9eaf568dd456d53863

[ "Apache-2.0" ]

null

test1.py

kenyonej/PyPlusTraining

1e0d41745e02a4dc1491be9eaf568dd456d53863

[ "Apache-2.0" ]

null

test1.py

kenyonej/PyPlusTraining

1e0d41745e02a4dc1491be9eaf568dd456d53863

[ "Apache-2.0" ]

null

for x in range(0,10) print(x)

8.75

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0.571429

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35

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1

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1

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5

cfd25eaeddfc4b2f06130b8ffd8ab60342dd8428

4,150

py

Python

tests/test_analysis.py

KloudTrader/libkloudtrader

015e2779f80ba2de93be9fa6fd751412a9d5f492

[ "Apache-2.0" ]

11

2019-01-16T16:10:09.000Z

2021-03-02T00:59:17.000Z

tests/test_analysis.py

KloudTrader/kloudtrader

015e2779f80ba2de93be9fa6fd751412a9d5f492

[ "Apache-2.0" ]

425

2019-07-10T06:59:49.000Z

2021-01-12T05:32:14.000Z

tests/test_analysis.py

KloudTrader/kloudtrader

015e2779f80ba2de93be9fa6fd751412a9d5f492

[ "Apache-2.0" ]

6

2019-03-15T16:25:06.000Z

2021-05-03T10:02:13.000Z

import libkloudtrader.analysis as analysis class Test_accumulation_distribution_index: pass class Test_awesome_oscillator: pass class Test_money_flow_index: pass class Test_relative_strength_index: pass class Test_stochastic_oscillator_index: pass class Test_true_strength_index: pass class Test_ultimate_oscillator: pass class Test_absolute_price_oscillator: pass class Test_aroon: pass class Test_aroon_oscillator: pass class Test_average_directional_moving_index: pass class Test_average_price: pass class Test_average_true_range: pass class Test_normalized_average_true_range: pass class Test_true_range: pass class Test_balance_of_power: pass class Test_bollinger_bands: pass class Test_chaikin_money_flow: pass class Test_chande_momentum_oscillator: pass class Test_commodity_channel_index: pass class Test_correlation_coefficient: pass class Test_cumulative_returns: pass class Test_daily_returns: pass class Test_daily_log_returns: pass class Test_detrended_price_oscillator: pass class Test_directional_movement_index: pass class Test_donchian_channel: pass class Test_double_ema: pass class Test_ease_of_movement: pass class Test_force_index: pass class Test_ema: pass class Test_ichimoku_cloud: pass class Test_kaufman_adaptive_moving_average: pass class Test_keltner_channels: pass class Test_know_sure_thing: pass class Test_linear_regression: pass class Test_linear_regression_angle: pass class Test_linear_regression_intercept: pass class Test_linear_regression_slope: pass class Test_macd: pass class Test_mass_index: pass class Test_midpoint_over_period: pass class Test_midpoint_price_over_period: pass class Test_minus_directional_indicator: pass class Test_minus_directional_movement: pass class Test_median_price: pass class Test_momentum: pass class Test_ma: pass class Test_negative_volume_index: pass class Test_hilbert_transform_inst_trendline: pass class Test_hilbert_transform_dom_cyc_per: pass class Test_hilbert_transform_dom_cyc_phase: pass class Test_hilbert_transform_phasor_components: pass class Test_hilbert_transform_sine_wave: pass class Test_hilbert_transform_trend_vs_cycle_mode: pass class Test_on_balance_volume: pass class Test_parabolic_sar: pass class Test_percentage_price_oscillator: pass class Test_plus_directional_indicator: pass class Test_plus_directional_movement: pass class Test_rate_of_change: pass class Test_sma: pass class Test_standard_deviation: pass class Test_stochastic_rsi: pass class Test_time_series_forecast: pass class Test_trix: pass class Test_triangular_ma: pass class Test_triple_ema: pass class Test_typical_price: pass class Test_variance: pass class Test_vortex_indicator: pass class Test_vortex_indicator: pass class Test_weighted_close_price: pass class Test_williams_r: pass class Test_wma: pass class Test_two_crows: pass class Test_annual_return: pass class Test_returns: pass class Test_daily_volatility: pass class Test_annual_volatility: pass class Test_volatility: pass class Test_moving_volatility: pass class Test_chaikin_oscillator: pass class Test_coppock_curve: pass class Test_hull_moving_average: pass class Test_volume_price_trend: pass class Test_volume_adjusted_moving_average: pass class Test_sharpe_ratio: pass class Test_annual_sharpe_ratio: pass class Test_vwap: pass class Test_sortino_ratio: pass class Test_calmar_ratio: pass class Test_skewness: pass class Test_kurtosis: pass class Test_omega_ratio: pass class Test_tail_ratio: pass class Test_alpha: pass class Test_beta: pass class Test_adjusted_returns: pass class Test_information_ratio: pass class Test_cagr: pass class Test_downside_risk: pass class Test_value_at_risk: pass

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py

Python

forge/ethyr/torch/__init__.py

wwxFromTju/neural-mmo

30cf1117c84cbe36bc4b378ed509874d307cf2c3

[ "MIT" ]

1,450

2019-03-04T15:47:38.000Z

2022-03-30T03:33:35.000Z

forge/ethyr/torch/__init__.py

wwxFromTju/neural-mmo

30cf1117c84cbe36bc4b378ed509874d307cf2c3

[ "MIT" ]

34

2019-03-05T09:50:38.000Z

2021-08-31T15:20:27.000Z

forge/ethyr/torch/__init__.py

LaudateCorpus1/neural-mmo

a9a7c34a1fb24fbf252e2958bdb869c213e580a3

[ "MIT" ]

164

2019-03-04T16:09:19.000Z

2022-02-26T15:43:40.000Z

from .stim import Stim

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5c7b26b3c5a9e64be5b64346faf0662bc7d678c6

18,183

py

Python

evaluate.py

lintangsutawika/berkicau

3245c4255a92dfa04a81d55e6252163032dfab30

[ "MIT" ]

3

2017-06-07T15:33:02.000Z

2018-11-19T14:07:55.000Z

evaluate.py

lintangsutawika/berkicau

3245c4255a92dfa04a81d55e6252163032dfab30

[ "MIT" ]

null

evaluate.py

lintangsutawika/berkicau

3245c4255a92dfa04a81d55e6252163032dfab30

[ "MIT" ]

null

import re import csv import sys import nltk import gensim import string import numpy as np from preprocess import findEntity class evaluate(object): """docstring for evaluate""" def __init__(self, dir="./Datasets/", filename=None): super(evaluate, self).__init__() if filename==None: self.text = findEntity() else: self.text = findEntity(filename=filename) def getProperOutput(self, allPredictions, Index, mode="None"): originalTokens = self.text.getTokenized()[Index[0]:(Index[-1]+1)] outputText = [] for sentenceIndex,eachSentence in enumerate(allPredictions): outputSentence = "" for tagIndex, eachTag in enumerate(eachSentence): predictedEntity = "" if mode == "withIntermediate": if eachTag == 0: pass elif eachTag == 1: pass elif eachTag == 3: pass elif eachTag == 5: pass else: if eachTag == 0: predictedEntity = originalTokens[sentenceIndex][tagIndex] elif eachTag == 1: if tagIndex == 0 or eachSentence[tagIndex - 1] != 1: predictedEntity = "<ENAMEX TYPE=\"PERSON\">" + originalTokens[sentenceIndex][tagIndex] if tagIndex == (len(eachSentence)-1) or eachSentence[tagIndex + 1] != 1: predictedEntity = predictedEntity + "</ENAMEX>" elif tagIndex == (len(eachSentence)-1) or eachSentence[tagIndex + 1] != 1: predictedEntity = originalTokens[sentenceIndex][tagIndex] + "</ENAMEX>" elif eachSentence[tagIndex - 1] == 1 and eachSentence[tagIndex + 1] == 1: predictedEntity = originalTokens[sentenceIndex][tagIndex] elif eachTag == 2: if tagIndex == 0 or eachSentence[tagIndex - 1] != 2: predictedEntity = "<ENAMEX TYPE=\"LOCATION\">" + originalTokens[sentenceIndex][tagIndex] if tagIndex == (len(eachSentence)-1) or eachSentence[tagIndex + 1] != 2: predictedEntity = predictedEntity + "</ENAMEX>" elif tagIndex == (len(eachSentence)-1) or eachSentence[tagIndex + 1] != 2: predictedEntity = originalTokens[sentenceIndex][tagIndex] + "</ENAMEX>" elif eachSentence[tagIndex - 1] == 2 and eachSentence[tagIndex + 1] == 2: predictedEntity = originalTokens[sentenceIndex][tagIndex] elif eachTag == 3: if tagIndex == 0 or eachSentence[tagIndex - 1] != 3: predictedEntity = "<ENAMEX TYPE=\"ORGANIZATION\">" + originalTokens[sentenceIndex][tagIndex] if tagIndex == (len(eachSentence)-1) or eachSentence[tagIndex + 1] != 3: predictedEntity = predictedEntity + "</ENAMEX>" elif tagIndex == (len(eachSentence)-1) or eachSentence[tagIndex + 1] != 3: predictedEntity = originalTokens[sentenceIndex][tagIndex] + "</ENAMEX>" elif eachSentence[tagIndex - 1] == 3 and eachSentence[tagIndex - 1] == 3: predictedEntity = originalTokens[sentenceIndex][tagIndex] outputSentence = outputSentence + " " + predictedEntity outputText.append(outputSentence) return outputText def getTextOutput(self, allPredictions, Index, mode="None"): punctuations = list(string.punctuation) originalTokens = self.text.getTokenized() originalText = self.text.corpus outputText = originalText for sentenceIndex,eachSentence in enumerate(allPredictions): currentIndex = 0 endTagIndex = (len(eachSentence)-1) currentSentence = outputText[sentenceIndex] for tagIndex, eachTag in enumerate(eachSentence): currentToken = originalTokens[sentenceIndex][tagIndex] if mode == "withIntermediate": if eachTag == 0: pass elif eachTag == 1: pass elif eachTag == 3: pass elif eachTag == 5: pass else: if eachTag == 1: if tagIndex == 0: #At beginning currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"PERSON\">" + currentSentence[currentIndex::] tempIndex = currentIndex+22+len(currentToken) if eachSentence[tagIndex+1] != 1: currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] currentIndex = tempIndex + 9 else: currentIndex = tempIndex elif 0<tagIndex and tagIndex<endTagIndex: #At middle if eachSentence[tagIndex-1] == 1: #Previous word tag is the same if eachSentence[tagIndex+1] == 1: #Next word tag is the same pass #No need to insert tag elif eachSentence[tagIndex+1] != 1: #Next word tag is NOT the same, the current word is an end word currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentIndex = currentIndex+len(currentToken) currentSentence = currentSentence[0:currentIndex] + "</ENAMEX>" + currentSentence[currentIndex::] elif eachSentence[tagIndex-1] != 1: #Previous word tag is NOT the same, the current word is a start word currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"PERSON\">" + currentSentence[currentIndex::] tempIndex = currentIndex+22+len(currentToken) if eachSentence[tagIndex+1] != 1: currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] currentIndex = tempIndex + 9 else: currentIndex = tempIndex elif tagIndex == endTagIndex: #At end if eachSentence[tagIndex-1] != 1: currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"PERSON\">" + currentSentence[currentIndex::] tempIndex = currentIndex+22+len(currentToken) currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] elif eachSentence[tagIndex-1] == 1: #Previous word tag is the same currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentIndex = currentIndex+len(currentToken) currentSentence = currentSentence[0:currentIndex] + "</ENAMEX>" + currentSentence[currentIndex::] elif eachTag == 2: if tagIndex == 0: #At beginning currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"LOCATION\">" + currentSentence[currentIndex::] tempIndex = currentIndex+24+len(currentToken) if eachSentence[tagIndex+1] != 2: currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] currentIndex = tempIndex + 9 else: currentIndex = tempIndex elif 0<tagIndex and tagIndex<endTagIndex: #At middle if eachSentence[tagIndex-1] == 2: #Previous word tag is the same if eachSentence[tagIndex+1] == 2: #Next word tag is the same pass #No need to insert tag elif eachSentence[tagIndex+1] != 2: #Next word tag is NOT the same, the current word is an end word currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentIndex = currentIndex+len(currentToken) currentSentence = currentSentence[0:currentIndex] + "</ENAMEX>" + currentSentence[currentIndex::] elif eachSentence[tagIndex-1] != 2: #Previous word tag is NOT the same, the current word is a start word currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"LOCATION\">" + currentSentence[currentIndex::] tempIndex = currentIndex+24+len(currentToken) if eachSentence[tagIndex+1] != 2: currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] currentIndex = tempIndex + 9 else: currentIndex = tempIndex elif tagIndex == endTagIndex: #At end if eachSentence[tagIndex-1] != 2: currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"LOCATION\">" + currentSentence[currentIndex::] tempIndex = currentIndex+24+len(currentToken) currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] elif eachSentence[tagIndex-1] == 2: #Previous word tag is the same currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentIndex = currentIndex+len(currentToken) currentSentence = currentSentence[0:currentIndex] + "</ENAMEX>" + currentSentence[currentIndex::] elif eachTag == 3: if tagIndex == 0: #At beginning currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"ORGANIZATION\">" + currentSentence[currentIndex::] tempIndex = currentIndex+28+len(currentToken) if eachSentence[tagIndex+1] != 3: currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] currentIndex = tempIndex + 9 else: currentIndex = tempIndex elif 0<tagIndex and tagIndex<endTagIndex: #At middle if eachSentence[tagIndex-1] == 3: #Previous word tag is the same if eachSentence[tagIndex+1] == 3: #Next word tag is the same pass #No need to insert tag elif eachSentence[tagIndex+1] != 3: #Next word tag is NOT the same, the current word is an end word currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentIndex = currentIndex+len(currentToken) currentSentence = currentSentence[0:currentIndex] + "</ENAMEX>" + currentSentence[currentIndex::] elif eachSentence[tagIndex-1] != 3: #Previous word tag is NOT the same, the current word is a start word currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"ORGANIZATION\">" + currentSentence[currentIndex::] tempIndex = currentIndex+28+len(currentToken) if eachSentence[tagIndex+1] != 3: currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] currentIndex = tempIndex + 9 else: currentIndex = tempIndex elif tagIndex == endTagIndex: #At end if eachSentence[tagIndex-1] != 3: currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentSentence = currentSentence[0:currentIndex] + "<ENAMEX TYPE=\"ORGANIZATION\">" + currentSentence[currentIndex::] tempIndex = currentIndex+28+len(currentToken) currentSentence = currentSentence[0:tempIndex] + "</ENAMEX>" + currentSentence[tempIndex::] elif eachSentence[tagIndex-1] == 3: #Previous word tag is the same currentIndex = currentIndex + currentSentence[currentIndex::].index(currentToken) #Get left most index of an entry currentIndex = currentIndex+len(currentToken) currentSentence = currentSentence[0:currentIndex] + "</ENAMEX>" + currentSentence[currentIndex::] outputText[sentenceIndex] = currentSentence return outputText def getPredictionElements(self, outputText): predicted_corpus = outputText yPred_Person, yPred_Location, yPred_Organization = self.text.find_enamex(corpus=predicted_corpus) return yPred_Person, yPred_Location, yPred_Organization def getTaggedElements(self, Index): test_corpus = self.text.corpus[Index[0]:(Index[-1]+1)] yPerson, yLocation, yOrganization = self.text.find_enamex(corpus=test_corpus) return yPerson, yLocation, yOrganization def F1_ExactMatch(self, yPerson, yLocation, yOrganization, yPred_Person, yPred_Location, yPred_Organization): true_positive = np.zeros(3) false_positive = np.zeros(3) false_negative = np.zeros(3) precision = np.zeros(3) recall = np.zeros(3) for predictions in yPred_Person: if (predictions in yPerson) == True: true_positive[0] += 1.0 else: false_positive[0] +=1.0 for predictions in yPred_Location: if (predictions in yLocation) == True: true_positive[1] += 1.0 else: false_positive[1] +=1.0 for predictions in yPred_Organization: if (predictions in yOrganization) == True: true_positive[2] += 1.0 else: false_positive[2] +=1.0 false_negative[0] = len(yPerson) - true_positive[0] false_negative[1] = len(yLocation) - true_positive[1] false_negative[2] = len(yOrganization) - true_positive[2] #Macro Average for i in range(3): if np.sum(true_positive[i]) == 0: precision[i] = 0 recall[i] = 0 else: precision[i] = true_positive[i] / (true_positive[i] + false_positive[i]) recall[i] = true_positive[i] / (true_positive[i] + false_negative[i]) MacroPrecision = np.average(precision) MacroRecall = np.average(recall) if MacroPrecision == 0 or MacroRecall == 0: F1_ExactMatch_Macro = 0 else: F1_ExactMatch_Macro = 2.0 * (MacroPrecision * MacroRecall)/(MacroPrecision + MacroRecall) #Micro Average if np.sum(true_positive) == 0: F1_ExactMatch_Micro = 0 else: MicroPrecision = np.sum(true_positive)/(np.sum(true_positive)+np.sum(false_positive)) MicroRecall = np.sum(true_positive)/(np.sum(true_positive)+np.sum(false_negative)) F1_ExactMatch_Micro = 2.0 * (MicroPrecision * MicroRecall)/(MicroPrecision + MicroRecall) return F1_ExactMatch_Macro, F1_ExactMatch_Micro

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5

5cb5e185d76d2ce56f5dac0d337dba285b5f1e76

42

py

Python

error.py

Irtiza90/b-baka

885e1df287a8de352c5ca567f0a71ecaff6cd22e

[ "MIT" ]

1

2022-02-07T08:51:04.000Z

error.py

Irtiza90/b-baka

885e1df287a8de352c5ca567f0a71ecaff6cd22e

[ "MIT" ]

4

2022-02-08T11:03:24.000Z

2022-03-13T18:34:02.000Z

error.py

Irtiza90/b-baka

885e1df287a8de352c5ca567f0a71ecaff6cd22e

[ "MIT" ]

1

2022-02-08T09:34:07.000Z

class StartsWithError(Exception): pass

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null

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5

5ccf907c7279041c252949a6fbee9c22dafb894c

92

py

Python

libs/__init__.py

OnofreTZK/VirtualMemory

856e96b14a3fba656bc15084ab2fa3d7be510b0f

[ "MIT" ]

null

libs/__init__.py

OnofreTZK/VirtualMemory

856e96b14a3fba656bc15084ab2fa3d7be510b0f

[ "MIT" ]

1

2019-11-29T04:34:31.000Z

libs/__init__.py

OnofreTZK/VirtualMemory

856e96b14a3fba656bc15084ab2fa3d7be510b0f

[ "MIT" ]

null

from .global_var import * from .arguments import processing_args from .memory import Memory

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0

5

7aa7e5c68e658faf6f1c54d69a313cc9bd55e31a

170

py

Python

lib/__init__.py

ebeuerle/resolved_sva_issues

f1b0b9780c55759603a913caaaee7bbefa80ea40

[ "Unlicense" ]

1

2017-10-03T15:24:04.000Z

lib/__init__.py

ebeuerle/resolved_sva_issues

f1b0b9780c55759603a913caaaee7bbefa80ea40

[ "Unlicense" ]

null

lib/__init__.py

ebeuerle/resolved_sva_issues

f1b0b9780c55759603a913caaaee7bbefa80ea40

[ "Unlicense" ]

null

from server_controller import ServerController from csv_writer import CsvWriter from config_helper import ConfigHelper __author__ = "CloudPassage" __version__ = "1.0"

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8f94e2ba5c3eceac58e958a24f43574a39f2aa2a

40

py

Python

exception/ApiException.py

stockflourish/api-pull-nse-bhavcopy

5329ce9ab1a3e7a2c3c505828b58b0d9c5f0681e

[ "MIT" ]

8

2017-11-28T11:05:52.000Z

2021-11-16T13:52:45.000Z

neverlose/exceptions/api_exception.py

neverlosecc/api-wrapper

9593e2539f5dfda58ae10b3f58cf7dd35d7cc7fe

[ "MIT" ]

4

2018-12-23T14:52:11.000Z

2019-08-09T21:01:44.000Z

neverlose/exceptions/api_exception.py

neverlosecc/api-wrapper

9593e2539f5dfda58ae10b3f58cf7dd35d7cc7fe

[ "MIT" ]

2

2017-11-28T14:38:24.000Z

2017-11-29T09:03:20.000Z

class ApiException(Exception): pass

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8fb1b74d7414fac877745f6b2ac1cfdce3310343

112

py

Python

peekpy/admin/views.py

Xeladem/PeekPy

cff6f73ff5d29a022e60f6927b3e188bb10186cd

[ "MIT" ]

null

peekpy/admin/views.py

Xeladem/PeekPy

cff6f73ff5d29a022e60f6927b3e188bb10186cd

[ "MIT" ]

null

peekpy/admin/views.py

Xeladem/PeekPy

cff6f73ff5d29a022e60f6927b3e188bb10186cd

[ "MIT" ]

null

# -*- coding: utf-8 -*- from flask import Blueprint admin = Blueprint('admin', __name__, url_prefix='/admin')

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8feca33be3031d31becc6a96f2b235d4af3a9a4c

91

py

Python

Assets/Python/Test/TestAll.py

dguenms/Dawn-of-Civilization

1c4f510af97a869637cddb4c0859759158cea5ce

[ "MIT" ]

93

2015-11-20T04:13:36.000Z

2022-03-24T00:03:08.000Z

Assets/Python/Test/TestAll.py

dguenms/Dawn-of-Civilization

1c4f510af97a869637cddb4c0859759158cea5ce

[ "MIT" ]

206

2015-11-09T00:27:15.000Z

2021-12-04T19:05:18.000Z

Assets/Python/Test/TestAll.py

dguenms/Dawn-of-Civilization

1c4f510af97a869637cddb4c0859759158cea5ce

[ "MIT" ]

117

2015-11-08T02:43:46.000Z

2022-02-12T06:29:00.000Z

import TestCore import TestVictory import TestHistoricalVictory import TestReligiousVictory

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8ff2d71c02e68ca330c67c1c6ce1fbbba9536e75

137

py

Python

mcatools/__init__.py

infinitewarp/mcatools

1c4177afb3e46d6796cfbf22cae410832bf93ae7

[ "MIT" ]

null

mcatools/__init__.py

infinitewarp/mcatools

1c4177afb3e46d6796cfbf22cae410832bf93ae7

[ "MIT" ]

null

mcatools/__init__.py

infinitewarp/mcatools

1c4177afb3e46d6796cfbf22cae410832bf93ae7

[ "MIT" ]

null

"""Tools for interacting with Minecraft "mca" world region files.""" from . import biome, definitions, imageutils, region # noqa: F401

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64e63fbc816bd73f96d64a0de5e4adb3b6d496f1

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py

Python

applications/plugins/SofaPython/SofaPython_test/python/test_Tools.py

sofa-framework/issofa

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[ "OML" ]

null

applications/plugins/SofaPython/SofaPython_test/python/test_Tools.py

sofa-framework/issofa

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[ "OML" ]

null

applications/plugins/SofaPython/SofaPython_test/python/test_Tools.py

sofa-framework/issofa

94855f488465bc3ed41223cbde987581dfca5389

[ "OML" ]

null

import SofaPython.Tools from SofaTest.Macro import * def run(): ok=True ok&=EXPECT_EQ("1 2 3 4", SofaPython.Tools.listToStr([1,2,3,4]) ) return ok

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py

Python

PySignature/__init__.py

cybermats/signature_maker

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[ "MIT" ]

null

PySignature/__init__.py

cybermats/signature_maker

cab52ffeecc9ed96d514692233d68908ecf2dde5

[ "MIT" ]

null

PySignature/__init__.py

cybermats/signature_maker

cab52ffeecc9ed96d514692233d68908ecf2dde5

[ "MIT" ]

null

from .ranger import Ranger

26

0.846154

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5.5

0.75

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0.956522

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64f03d319cb3ab477ff1353fafda7e1fd0169301

156

py

Python

src/lesson_runtime_features/platform_platform.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

3

2018-08-14T09:33:52.000Z

2022-03-21T12:31:58.000Z

src/lesson_runtime_features/platform_platform.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

null

src/lesson_runtime_features/platform_platform.py

jasonwee/asus-rt-n14uhp-mrtg

4fa96c3406e32ea6631ce447db6d19d70b2cd061

[ "Apache-2.0" ]

null

import platform print('Normal :', platform.platform()) print('Aliased:', platform.platform(aliased=True)) print('Terse :', platform.platform(terse=True))

26

50

0.737179

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156

6.388889

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0

0.076923

156

5

51

31.2

0.798611

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0

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0

null

0

1

0

1

0

5

64f2d96fc3222ba321cf935d2b7431a45287f447

191

py

Python

app/skep/docker/network.py

kallisti5/skep

6d6f79c80b958ed6c7dd09195316cd0c87d6a39d

[ "MIT" ]

33

2019-07-16T10:03:20.000Z

2021-11-06T23:56:07.000Z

app/skep/docker/network.py

kallisti5/skep

6d6f79c80b958ed6c7dd09195316cd0c87d6a39d

[ "MIT" ]

42

2019-05-26T16:15:37.000Z

2022-02-26T10:45:38.000Z

app/skep/docker/network.py

kallisti5/skep

6d6f79c80b958ed6c7dd09195316cd0c87d6a39d

[ "MIT" ]

7

2019-09-02T02:30:35.000Z

2021-01-09T14:13:58.000Z

class Network: def __init__(self, network): self.id = network.id self.name = network.name def serializable(self): return { 'id': self.id, 'name': self.name }

23.875

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191

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0.375

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0.277487

191

7

52

27.285714

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0

0.031414

0

1

0.333333

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0.166667

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0

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null

0

1

0

null

0

1

0

1

0

5

8f0032060b08e52254cf4117354788425184adff

90

py

Python

client/simulate_stream_event/__init__.py

lvzheqi/StreamingEventCompliance

3a9470f9b0b670c814864369f22e1f1eacef7bad

[ "BSD-2-Clause" ]

3

2018-10-16T15:14:41.000Z

2019-09-04T09:38:55.000Z

client/simulate_stream_event/__init__.py

lvzheqi/StreamingEventCompliance

3a9470f9b0b670c814864369f22e1f1eacef7bad

[ "BSD-2-Clause" ]

2

2021-03-31T19:00:14.000Z

2021-12-13T19:51:46.000Z

client/simulate_stream_event/__init__.py

lvzheqi/StreamingEventCompliance

3a9470f9b0b670c814864369f22e1f1eacef7bad

[ "BSD-2-Clause" ]

2

2018-10-16T15:14:43.000Z

2019-12-16T13:58:28.000Z

from simulate_stream_event import eventlog, eventthread, exception, config, client_logging

90

0.877778

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6.909091

1

0

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90

1

90

0.915663

0

1

0

true

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1

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1

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null

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null

0

1

0

1

0

1

0

5

8f197d5ac0b54c8dc3cce6fb2d2edd8dbaf779d4

58

py

Python

app/microblog.py

mikemazara/flask_microblog

5451e0aeb697a86bbfe4e9060f77b1c612e0d1ff

[ "MIT" ]

null

app/microblog.py

mikemazara/flask_microblog

5451e0aeb697a86bbfe4e9060f77b1c612e0d1ff

[ "MIT" ]

null

app/microblog.py

mikemazara/flask_microblog

5451e0aeb697a86bbfe4e9060f77b1c612e0d1ff

[ "MIT" ]

null

# This is cool # imma leave a comment from app import app

14.5

22

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58

3.909091

0.909091

0

0.224138

58

3

23

19.333333

0.955556

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0

1

0

true

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1

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1

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null

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1

0

null

0

1

0

1

0

1

0

5

8f657348e1cdc902802d6e505137cdb456c45dbf

189

py

Python

kool/utils/__init__.py

Jiaming1999/kool

efe847a05c1a07af5eddeeeb700fdefcb6c9ced9

[ "MIT" ]

null

kool/utils/__init__.py

Jiaming1999/kool

efe847a05c1a07af5eddeeeb700fdefcb6c9ced9

[ "MIT" ]

6

2017-09-04T05:14:03.000Z

2021-11-08T06:11:26.000Z

kool/utils/__init__.py

Jiaming1999/kool

efe847a05c1a07af5eddeeeb700fdefcb6c9ced9

[ "MIT" ]

1

2021-11-07T22:08:32.000Z

from .converter import camel_to_snake from .crypto import get_random_string, constant_time_compare from .encoding import is_protected_type, force_text, force_bytes from .timezone import now

47.25

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189

5.310345

0.758621

0

0.095238

189

4

65

47.25

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0

1

0

true

0

1

0

1

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0

null

0

1

0

1

0

1

0

5

56b588994e6c53002f41fc9753cf7a5738a10f08

2,370

py

Python

tests/test_tocdirective.py

peaceiris/jupyter-book

4ff5b38d9dca21b24a906ba25e0276a954ed454f

[ "BSD-3-Clause" ]

null

tests/test_tocdirective.py

peaceiris/jupyter-book

4ff5b38d9dca21b24a906ba25e0276a954ed454f

[ "BSD-3-Clause" ]

null

tests/test_tocdirective.py

peaceiris/jupyter-book

4ff5b38d9dca21b24a906ba25e0276a954ed454f

[ "BSD-3-Clause" ]

null

from pathlib import Path from subprocess import run from bs4 import BeautifulSoup path_tests = Path(__file__).parent.resolve() path_books = path_tests.joinpath("books") path_root = path_tests.parent def test_toc_startwithlist(tmpdir, file_regression): """Testing a basic _toc.yml for tableofcontents directive""" path_output = Path(tmpdir).joinpath("mybook").absolute() # Regular TOC should work p_toc = path_books.joinpath("toc") path_toc = p_toc.joinpath("_toc_startwithlist.yml") run( f"jb build {p_toc} --path-output {path_output} --toc {path_toc} -W".split(), check=True, ) path_toc_directive = path_output.joinpath("_build", "html", "index.html") # get the tableofcontents markup soup = BeautifulSoup(path_toc_directive.read_text(), "html.parser") toc = soup.find_all("div", class_="tableofcontents-wrapper")[0] file_regression.check(str(toc), extension=".html") def test_toc_withheaders(tmpdir, file_regression): """Testing `header` in _toc.yml""" path_output = Path(tmpdir).joinpath("mybook").absolute() # Regular TOC should work p_toc = path_books.joinpath("toc") path_toc = p_toc.joinpath("_toc_withheaders.yml") run( f"jb build {p_toc} --path-output {path_output} --toc {path_toc} -W".split(), check=True, ) path_toc_directive = path_output.joinpath("_build", "html", "index.html") # get the tableofcontents markup soup = BeautifulSoup(path_toc_directive.read_text(), "html.parser") toc = soup.find_all("div", class_="tableofcontents-wrapper")[0] file_regression.check(str(toc), extension=".html") def test_toc_urllink(tmpdir, file_regression): """Testing with additional `url` link key in _toc.yml""" path_output = Path(tmpdir).joinpath("mybook").absolute() # Regular TOC should work p_toc = path_books.joinpath("toc") path_toc = p_toc.joinpath("_toc_urllink.yml") run( f"jb build {p_toc} --path-output {path_output} --toc {path_toc} -W".split(), check=True, ) path_toc_directive = path_output.joinpath("_build", "html", "index.html") # get the tableofcontents markup soup = BeautifulSoup(path_toc_directive.read_text(), "html.parser") toc = soup.find_all("div", class_="tableofcontents-wrapper")[0] file_regression.check(str(toc), extension=".html")

35.373134

84

0.694093

315

2,370

4.965079

0.215873

0.076726

0.053708

0.05179

0.759591

0

0.002021

0.164979

2,370

66

85

35.909091

0.788277

0.126582

0

0.642857

0

0.228404

0.044412

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0.071429

false

0

0.071429

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0.142857

0

null

0

1

0

null

0

5

56c040afb4e4d194d74e79b7c957cd9a461e53fa

146

py

Python

src/ejercicio_1.py

apuniello/equipo_8

1c59d2f7e5086642a793b1dcae2ffe06e369dd78

[ "MIT" ]

null

src/ejercicio_1.py

apuniello/equipo_8

1c59d2f7e5086642a793b1dcae2ffe06e369dd78

[ "MIT" ]

null

src/ejercicio_1.py

apuniello/equipo_8

1c59d2f7e5086642a793b1dcae2ffe06e369dd78

[ "MIT" ]

null

# 1 - Dado un string, escribir una funcion que cambie todos los espacios por guiones. def reemplazar(input): print (input.replace(" ", "-"))

48.666667

86

0.691781

20

146

5.05

0.95

0

0.008403

0.184932

146

3

87

48.666667

0.840336

0.568493

0

0.033333

0

0.333333

0

1

0.5

false

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

56e2019db9caa55adc96a53a08969e4b40fce81c

191

py

Python

test/regexQuery/form.py

Khaled-Abousheikh/django-heroku

fce8c5abf73382be3b1e74dab635792bd9e28ff9

[ "BSD-3-Clause" ]

null

test/regexQuery/form.py

Khaled-Abousheikh/django-heroku

fce8c5abf73382be3b1e74dab635792bd9e28ff9

[ "BSD-3-Clause" ]

1

2021-06-10T23:33:59.000Z

test/regexQuery/form.py

Khaled-Abousheikh/django-heroku

fce8c5abf73382be3b1e74dab635792bd9e28ff9

[ "BSD-3-Clause" ]

null

from django import forms class RegexForm(forms.Form): string_input = forms.CharField(label='String', max_length=500) regex_input = forms.CharField(label='Regex', max_length=200)

31.833333

66

0.743455

26

191

5.307692

0.615385

0.144928

0.275362

0.347826

0

0.036585

0.141361

191

6

67

31.833333

0.804878

0

0.057292

0

1

0

false

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1

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1

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null

0

1

0

1

0

null

0

1

0

5

56f2efabe429d74c808e7e5796b620c208dc73b3

94

py

Python

snapper/src/waitress_server.py

omaritgis/SiteSnapR

69c343294bc2872771a59264b430df7707f5d84b

[ "MIT" ]

null

snapper/src/waitress_server.py

omaritgis/SiteSnapR

69c343294bc2872771a59264b430df7707f5d84b

[ "MIT" ]

null

snapper/src/waitress_server.py

omaritgis/SiteSnapR

69c343294bc2872771a59264b430df7707f5d84b

[ "MIT" ]

null

from waitress import serve import middleware serve(middleware.app, host='127.0.0.1', port=80)

23.5

48

0.776596

16

94

4.5625

0.75

0

0.094118

0.095745

94

4

48

23.5

0.764706

0

0.094737

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

71450b1926e96628d8e467f47605846cc2cd27cb

28

py

Python

pkgname/cfg/__init__.py

StoneT2000/rl-boilerplate

7f2a64b9168ed65b49e718f7532d49ec70884e99

[ "MIT" ]

1

2022-03-11T03:41:32.000Z

pkgname/cfg/__init__.py

StoneT2000/rl-boilerplate

7f2a64b9168ed65b49e718f7532d49ec70884e99

[ "MIT" ]

null

pkgname/cfg/__init__.py

StoneT2000/rl-boilerplate

7f2a64b9168ed65b49e718f7532d49ec70884e99

[ "MIT" ]

null

from .parse import parse_cfg

28

0.857143

5

28

4.6

0.8

0

0.107143

28

1

28

0.92

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8572a26298eced6b59a6a1145d734cb0fe5a86c3

248

py

Python

system/utils.py

farhapartex/django-dookan

2406aa26d374f895c34a30615a5f369b0a1542ee

[ "MIT" ]

10

2020-03-31T20:51:10.000Z

2020-08-06T00:38:41.000Z

system/utils.py

farhapartex/django-dookan

2406aa26d374f895c34a30615a5f369b0a1542ee

[ "MIT" ]

null

system/utils.py

farhapartex/django-dookan

2406aa26d374f895c34a30615a5f369b0a1542ee

[ "MIT" ]

3

2020-04-01T04:33:04.000Z

2020-05-07T19:09:14.000Z

import threading _thread_locals = threading.local() def set_current_user(user): _thread_locals.user = user def get_current_user(): return getattr(_thread_locals, 'user', None) def remove_current_user(): _thread_locals.user = None

16.533333

48

0.75

33

248

5.212121

0.424242

0.27907

0.232558

0

0.157258

248

15

49

16.533333

0.822967

0

0.016064

0

1

0.375

false

0

0.125

0.625

0

null

1

0

null

0

1

0

1

0

5

8579b65815f7ee00938aad016960512332cd61b0

120

py

Python

scripts/exp_scripts/src/ec2_scripts/generate_config_file.py

MobilityFirst/GNS

1eb5524457e0075dc9f451bd66e39f9291052eb8

[ "Apache-2.0" ]

17

2015-11-16T18:02:47.000Z

2020-08-02T08:53:11.000Z

scripts/exp_scripts/src/ec2_scripts/generate_config_file.py

MobilityFirst/GNS

1eb5524457e0075dc9f451bd66e39f9291052eb8

[ "Apache-2.0" ]

63

2015-12-22T20:52:28.000Z

2019-03-06T02:44:20.000Z

scripts/exp_scripts/src/ec2_scripts/generate_config_file.py

MobilityFirst/GNS

1eb5524457e0075dc9f451bd66e39f9291052eb8

[ "Apache-2.0" ]

62

2015-11-13T20:04:47.000Z

2020-01-10T12:20:44.000Z

import os import sys import exp_config config_file = 'local_config' def write_local_config_file(filename): pass

10.909091

38

0.783333

18

120

4.888889

0.611111

0.227273

0

0.166667

120

10

39

12

0.88

0

0.1

0

1

0.166667

false

0.166667

0.5

0

0.666667

0

1

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null

1

0

null

0

1

0

1

0

5

85acf1da0c17bf37f5607a1b7f6095f9d744052e

216

py

Python

DLFrameWork/losses/__init__.py

Mostafa-ashraf19/TourchPIP

a5090a0ec9cc81a91fe1fd6af41d77841361cec1

[ "MIT" ]

null

DLFrameWork/losses/__init__.py

Mostafa-ashraf19/TourchPIP

a5090a0ec9cc81a91fe1fd6af41d77841361cec1

[ "MIT" ]

null

DLFrameWork/losses/__init__.py

Mostafa-ashraf19/TourchPIP

a5090a0ec9cc81a91fe1fd6af41d77841361cec1

[ "MIT" ]

null

from .BiploarPerceptron import BiploarPerceptron from .SD import SD from .Biploar_SVM import Biploar_SVM from .SoftmaxCrossEntropy import SoftmaxCrossEntropy from .MultiClassPerceptron import MultiClassPerceptron

43.2

55

0.87037

22

216

8.454545

0.363636

0.107527

0

0.106481

216

5

55

43.2

0.963731

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

85c07f53b454796e714e72ea846af09d8ab87ea5

193

py

Python

covid/utils/aws.py

mleila/CovidDisrupt

7e5e3bb4c93ab733c72a7a87fb2c8212a95a64bd

[ "MIT" ]

2

2020-04-03T00:10:55.000Z

2020-04-10T20:36:42.000Z

covid/utils/aws.py

mleila/CovidDisrupt

7e5e3bb4c93ab733c72a7a87fb2c8212a95a64bd

[ "MIT" ]

10

2021-03-19T11:58:43.000Z

2022-03-12T00:22:12.000Z

covid/utils/aws.py

mleila/CovidDisrupt

7e5e3bb4c93ab733c72a7a87fb2c8212a95a64bd

[ "MIT" ]

null

import boto3 def create_s3_client(bucket): pass def create_s3_resource(region_name): """ Create an S3 Resource. """ return boto3.resource('s3', region_name=region_name)

14.846154

56

0.689119

26

193

4.846154

0.5

0.238095

0.174603

0

0.039216

0.207254

193

12

57

16.083333

0.784314

0.11399

0

0.012903

0

1

0.4

false

0.2

0

0.8

0

1

0

null

1

0

null

0

1

0

1

0

1

0

5

85c5d01aa59a488cdad4ba573c5187a7ff2bcde8

140

py

Python

server/featherlight/resolvers/subscription/__init__.py

FeatherLightApp/FeatherLight-API

1543cc4532f9a8ec1bae51374d4e5d88546c8d15

[ "MIT" ]

3

2020-06-28T17:30:57.000Z

2022-01-25T18:03:38.000Z

server/featherlight/resolvers/subscription/__init__.py

FeatherLightApp/FeatherLight-API

1543cc4532f9a8ec1bae51374d4e5d88546c8d15

[ "MIT" ]

null

server/featherlight/resolvers/subscription/__init__.py

FeatherLightApp/FeatherLight-API

1543cc4532f9a8ec1bae51374d4e5d88546c8d15

[ "MIT" ]

1

2021-02-04T07:14:08.000Z

from typing import List from ariadne import SubscriptionType from .invoice import INVOICE SUBSCRIPTION: List[SubscriptionType] = [INVOICE]

23.333333

48

0.828571

16

140

7.25

0.5

0

0.121429

140

5

49

28

0.943089

0

1

0

true

0

0.75

0

0.75

0

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null

0

1

0

null

0

1

0

1

0

1

0

5

a41e99c2fad5197a14bc6aeef880e78adb1c88c6

87

py

Python

Problem_10_sol.py

infdahai/PE_sol

7764c639474df19f3f02ca5804819a1a74d8a723

[ "MIT" ]

null

Problem_10_sol.py

infdahai/PE_sol

7764c639474df19f3f02ca5804819a1a74d8a723

[ "MIT" ]

null

Problem_10_sol.py

infdahai/PE_sol

7764c639474df19f3f02ca5804819a1a74d8a723

[ "MIT" ]

null

import sympy print(sum(sympy.sieve.primerange(1,2000000))) ''' 这玩意也太强硬了吧。我喜欢如此强壮的 '''

12.428571

45

0.735632

11

87

5.818182

0.909091

0

0.1

0.08046

87

6

46

14.5

0.7

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a44640f503709e4a576efd04a1e920e31df9e8bf

213

py

Python

control_ai/possible_moves.py

joshuajcarson/ControlAI

40d7b8949e6bdebbba20ddfdb3255e3375bdff71

[ "MIT" ]

null

control_ai/possible_moves.py

joshuajcarson/ControlAI

40d7b8949e6bdebbba20ddfdb3255e3375bdff71

[ "MIT" ]

1

2018-06-07T00:34:52.000Z

control_ai/possible_moves.py

joshuajcarson/ControlAI

40d7b8949e6bdebbba20ddfdb3255e3375bdff71

[ "MIT" ]

null

import control_ai.game_state class PossibleMoves(object): def __init__(self, player, action = 'draw', card_name = 'none'): self.game_state = control_ai.game_state.GameState(player, action, card_name)

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5

a45670d15902eed9d463483400ed75dfc9c9ddb8

1,688

py

Python

Python_Basics/04_Nested_Conditional_Statements/06_Fruit_Shop.py

Dochko0/Python

e9612c4e842cfd3d9a733526cc7485765ef2238f

[ "MIT" ]

null

Python_Basics/04_Nested_Conditional_Statements/06_Fruit_Shop.py

Dochko0/Python

e9612c4e842cfd3d9a733526cc7485765ef2238f

[ "MIT" ]

null

Python_Basics/04_Nested_Conditional_Statements/06_Fruit_Shop.py

Dochko0/Python

e9612c4e842cfd3d9a733526cc7485765ef2238f

[ "MIT" ]

null

fruit = input() day_of_week = input() quantity = float(input()) if day_of_week == "Saturday" or day_of_week == "Sunday": if fruit == "banana": total_price = quantity * 2.7 print(total_price) elif fruit == "apple": total_price = quantity * 1.25 print(total_price) elif fruit == "orange": total_price = quantity * 0.9 print(total_price) elif fruit == "grapefruit": total_price = quantity * 1.6 print(total_price) elif fruit == "kiwi": total_price = quantity * 3 print(total_price) elif fruit == "pineapple": total_price = quantity * 5.6 print(total_price) elif fruit == "grapes": total_price = quantity * 4.2 print(total_price) else: print("error") elif day_of_week == "Monday" \ or day_of_week == "Tuesday" \ or day_of_week=="Wednesday" \ or day_of_week == "Thursday" \ or day_of_week == "Friday": if fruit == "banana": total_price = quantity * 2.5 print(total_price) elif fruit == "apple": total_price = quantity * 1.2 print(total_price) elif fruit == "orange": total_price = quantity * 0.85 print(total_price) elif fruit == "grapefruit": total_price = quantity * 1.45 print(total_price) elif fruit == "kiwi": total_price = quantity * 2.7 print(total_price) elif fruit == "pineapple": total_price = quantity * 5.5 print(total_price) elif fruit == "grapes": total_price = quantity * 3.85 print(total_price) else: print("error") else: print("error")

29.103448

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null

0

5

a48b88794d962abb781c7eddcd07e33d35fbf912

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py

Python

design_bench/oracles/sklearn/kernels/__init__.py

brandontrabucco/design_bench

824516ec59396aded3ca55ec7c1c313626ecaceb

[ "MIT" ]

27

2020-06-30T00:57:12.000Z

2022-03-25T16:24:11.000Z

design_bench/oracles/sklearn/kernels/__init__.py

brandontrabucco/design_bench

824516ec59396aded3ca55ec7c1c313626ecaceb

[ "MIT" ]

7

2021-02-16T06:25:02.000Z

2022-03-31T17:21:17.000Z

design_bench/oracles/sklearn/kernels/__init__.py

brandontrabucco/design_bench

824516ec59396aded3ca55ec7c1c313626ecaceb

[ "MIT" ]

5

2021-07-19T12:16:32.000Z

2022-03-01T16:56:16.000Z

from .protein_kernel import ProteinKernel from .default_sequence_kernel import DefaultSequenceKernel

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8ef911b067f636069e033df251dc98abe4128886

278

py

Python

pyinstaller/hooks/hook-glycopeptide_feature_learning.py

mobiusklein/glycresoft

60d6eddffc6d8c783f0fe470b5010d4f437c7e73

[ "Apache-2.0" ]

4

2019-04-26T15:47:57.000Z

2021-04-20T22:53:58.000Z

pyinstaller/hooks/hook-glycopeptide_feature_learning.py

mobiusklein/glycresoft

60d6eddffc6d8c783f0fe470b5010d4f437c7e73

[ "Apache-2.0" ]

8

2017-11-22T19:20:20.000Z

2022-02-14T01:49:58.000Z

pyinstaller/hooks/hook-glycopeptide_feature_learning.py

mobiusklein/glycresoft

60d6eddffc6d8c783f0fe470b5010d4f437c7e73

[ "Apache-2.0" ]

3

2017-11-21T18:05:28.000Z

2021-09-23T18:38:33.000Z

from PyInstaller.utils.hooks import collect_submodules, collect_data_files hiddenimports = collect_submodules( "glycopeptide_feature_learning._c") + collect_submodules("glycopeptide_feature_learning.scoring._c") datas = collect_data_files('glycopeptide_feature_learning')

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null

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1

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null

0

1

0

5

f1200b83ea5690222dcdef775c640f9f82adeb9d

29

py

Python

embegym/evaluation/supervised/__init__.py

word-forge/embeddings-gym

8c95e68dd4b2c7fd3e99e1e85f4fc8407bd37455

[ "Apache-2.0" ]

1

2018-09-19T06:42:45.000Z

embegym/evaluation/supervised/__init__.py

word-forge/embeddings-gym

8c95e68dd4b2c7fd3e99e1e85f4fc8407bd37455

[ "Apache-2.0" ]

null

embegym/evaluation/supervised/__init__.py

word-forge/embeddings-gym

8c95e68dd4b2c7fd3e99e1e85f4fc8407bd37455

[ "Apache-2.0" ]

null

from . import base, text_cat

14.5

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29

4.2

1

0

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1

29

0.875

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1

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null

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null

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1

0

1

0

5

f122d562a53351e963e93b76f8b867ee4b5b7557

59

py

Python

deid/logger/__init__.py

glebsts/deid

a0c630ee613d358b3c8e936dd539d51dee94a5a7

[ "MIT" ]

88

2017-10-16T12:47:09.000Z

2022-03-10T23:08:04.000Z

deid/logger/__init__.py

glebsts/deid

a0c630ee613d358b3c8e936dd539d51dee94a5a7

[ "MIT" ]

180

2017-06-15T01:37:00.000Z

2022-03-23T23:05:57.000Z

deid/logger/__init__.py

glebsts/deid

a0c630ee613d358b3c8e936dd539d51dee94a5a7

[ "MIT" ]

41

2017-09-29T00:29:50.000Z

2022-03-16T02:26:54.000Z

from .message import bot from .progress import ProgressBar

19.666667

33

0.830508

8

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6.125

0.75

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59

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34

29.5

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true

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1

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1

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1

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null

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1

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null

0

1

0

1

0

1

0

5

f12330572fde591127800ff941331445e0eec81f

159

py

Python

TrackingTools/KalmanUpdators/python/TrackingRecHitPropagatorESProducer_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

TrackingTools/KalmanUpdators/python/TrackingRecHitPropagatorESProducer_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

TrackingTools/KalmanUpdators/python/TrackingRecHitPropagatorESProducer_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms # magnetic field # hit propagator from TrackingTools.KalmanUpdators.TrackingRecHitPropagatorESProducer_cfi import *

22.714286

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16

159

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0.9375

0

0.100629

159

6

82

26.5

0.944056

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0

1

0

true

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1

0

null

0

1

0

1

0

1

0

5

f12b0d3bf314e8ec26642f932bc34dbca07e2238

59

py

Python

intrinsic/evaluation/classifiers/models/__init__.py

UKPLab/linspector

46a7cca6ad34dc673feb47c4d452f1248d5e635b

[ "Apache-2.0" ]

21

2019-03-21T12:10:09.000Z

2022-03-01T04:42:34.000Z

intrinsic/evaluation/classifiers/models/__init__.py

UKPLab/linspector

46a7cca6ad34dc673feb47c4d452f1248d5e635b

[ "Apache-2.0" ]

1

2019-03-25T17:27:40.000Z

2019-04-04T07:01:08.000Z

intrinsic/evaluation/classifiers/models/__init__.py

UKPLab/linspector

46a7cca6ad34dc673feb47c4d452f1248d5e635b

[ "Apache-2.0" ]

2

2019-04-17T07:36:12.000Z

2019-10-10T09:15:29.000Z

from classifiers.models.mlp_classifier import MlpClassifier

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7.571429

1

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0.050847

59

1

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0.946429

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

f14584e43444be916bfd6d5d345465a96c1012d3

136

py

Python

aberdeen/cli/__init__.py

akubera/aberdeen

09d5570089260dfdc2ed6a7ebf8707dd934f331e

[ "Apache-2.0" ]

1

2015-12-06T00:37:56.000Z

aberdeen/cli/__init__.py

akubera/aberdeen

09d5570089260dfdc2ed6a7ebf8707dd934f331e

[ "Apache-2.0" ]

null

aberdeen/cli/__init__.py

akubera/aberdeen

09d5570089260dfdc2ed6a7ebf8707dd934f331e

[ "Apache-2.0" ]

null

# # aberdeen/cli/__init__.py # """ Module containing executable command line scripts. """ from . import init from . import update_hook

13.6

50

0.735294

17

136

5.588235

0.823529

0.210526

0

0.154412

136

9

51

15.111111

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0

1

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true

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0

1

0

null

0

1

0

1

0

5

74b13366061132151e48ec0f34f7ddf2fc3c8d69

162

py

Python

wsgi.py

VSR-SIM/VSR-SIM.github.io

561454e22f827dfef38194c4ec0b0a84ebda9133

[ "CC-BY-3.0" ]

null

wsgi.py

VSR-SIM/VSR-SIM.github.io

561454e22f827dfef38194c4ec0b0a84ebda9133

[ "CC-BY-3.0" ]

null

wsgi.py

VSR-SIM/VSR-SIM.github.io

561454e22f827dfef38194c4ec0b0a84ebda9133

[ "CC-BY-3.0" ]

null

import os os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"] = "0" from index import app if __name__ == "__main__": app.run()

20.25

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0.716049

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162

4.08

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0.176471

0.254902

0

0.007143

0.135802

162

7

47

23.142857

0.721429

0

0.345679

0

1

0

true

0

0.333333

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0.333333

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1

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null

0

1

0

1

0

null

0

1

0

1

0

5

74bde2015ae7971b14fe97688b454f960a1fed7e

187

py

Python

triage_bandit_sandbox/triage_models_sandbox/interfaces/__init__.py

jer-green/triage-bandit-sandbox

18a824a4af736dff2246f4d86dd1d7104874b044

[ "RSA-MD" ]

null

triage_bandit_sandbox/triage_models_sandbox/interfaces/__init__.py

jer-green/triage-bandit-sandbox

18a824a4af736dff2246f4d86dd1d7104874b044

[ "RSA-MD" ]

null

triage_bandit_sandbox/triage_models_sandbox/interfaces/__init__.py

jer-green/triage-bandit-sandbox

18a824a4af736dff2246f4d86dd1d7104874b044

[ "RSA-MD" ]

null

from .triage_data_transformers import TriageDataTransformer, PreparedDataTransformer from .triage_data import TriageData, TriageDataset, PreparedData from .triage_model import TriageModel

62.333333

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0

0.074866

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62.333333

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true

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null

0

1

0

1

0

1

0

5

74dc47a941745c286487ba536bb2603b44b7fbf8

54

py

Python

xcomfort/__init__.py

jorgenhauge/xcomfort-python

1cf8234414592b1438e7860edab52bb9be578ac8

[ "MIT" ]

9

2020-05-24T18:58:38.000Z

2022-02-10T13:01:35.000Z

xcomfort/__init__.py

jorgenhauge/xcomfort-python

1cf8234414592b1438e7860edab52bb9be578ac8

[ "MIT" ]

1

2020-09-30T18:27:27.000Z

2020-09-30T18:40:58.000Z

xcomfort/__init__.py

jorgenhauge/xcomfort-python

1cf8234414592b1438e7860edab52bb9be578ac8

[ "MIT" ]

3

2021-01-04T20:17:46.000Z

2022-02-12T22:17:44.000Z

from .bridge import Bridge from .devices import Light

18

26

0.814815

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5.5

0.625

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0.148148

54

2

27

0.956522

0

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null

0

1

0

1

0

1

0

5

2d0d6b2ce4b6d3b54cad30fea823299c7fa6778e

186

py

Python

skued/simulation/__init__.py

kjappelbaum/scikit-ued

8a661e3fa101c7ae1191ce1f3de8e859559bf477

[ "MIT" ]

null

skued/simulation/__init__.py

kjappelbaum/scikit-ued

8a661e3fa101c7ae1191ce1f3de8e859559bf477

[ "MIT" ]

null

skued/simulation/__init__.py

kjappelbaum/scikit-ued

8a661e3fa101c7ae1191ce1f3de8e859559bf477

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .powdersim import powdersim from .potential import electrostatic, pelectrostatic from .structure_factors import structure_factor, bounded_reflections, affe

31

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true

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5

2d210f735e9dbe56d94c7912fef8fa07084118c9

2,938

py

Python

dataactcore/migrations/versions/91df6b691864_rename_tas_id_to_account_num_in_staging_.py

RonSherfey/data-act-broker-backend

d287abda2cac06dd479ecf0127e789cb8e59387d

[ "CC0-1.0" ]

null

dataactcore/migrations/versions/91df6b691864_rename_tas_id_to_account_num_in_staging_.py

RonSherfey/data-act-broker-backend

d287abda2cac06dd479ecf0127e789cb8e59387d

[ "CC0-1.0" ]

3

2021-08-22T11:47:45.000Z

2022-03-29T22:06:49.000Z

dataactcore/migrations/versions/91df6b691864_rename_tas_id_to_account_num_in_staging_.py

RonSherfey/data-act-broker-backend

d287abda2cac06dd479ecf0127e789cb8e59387d

[ "CC0-1.0" ]

null

"""Rename tas_id to account_num in staging tables Revision ID: 91df6b691864 Revises: bbc020fa7961 Create Date: 2021-05-27 09:57:41.745637 """ # revision identifiers, used by Alembic. revision = '91df6b691864' down_revision = 'bbc020fa7961' branch_labels = None depends_on = None from alembic import op import sqlalchemy as sa def upgrade(engine_name): globals()["upgrade_%s" % engine_name]() def downgrade(engine_name): globals()["downgrade_%s" % engine_name]() def upgrade_data_broker(): # ### commands auto generated by Alembic - please adjust! ### # appropriation changes op.execute("ALTER TABLE appropriation RENAME COLUMN tas_id TO account_num") op.execute("ALTER INDEX ix_appropriation_tas_id RENAME TO ix_appropriation_account_num") op.execute("ALTER INDEX ix_appropriation_tas_id_submission_id RENAME TO ix_appropriation_account_num_submission_id") # object_class_program_activity changes op.execute("ALTER TABLE object_class_program_activity RENAME COLUMN tas_id TO account_num") op.execute("ALTER INDEX ix_oc_pa_tas_id_submission_id RENAME TO ix_oc_pa_account_num_submission_id") # award_financial changes op.execute("ALTER TABLE award_financial RENAME COLUMN tas_id TO account_num") op.execute("ALTER INDEX ix_award_financial_tas_id RENAME TO ix_award_financial_account_num") # certified table changes op.execute("ALTER TABLE certified_appropriation RENAME COLUMN tas_id TO account_num") op.execute("ALTER TABLE certified_object_class_program_activity RENAME COLUMN tas_id TO account_num") op.execute("ALTER TABLE certified_award_financial RENAME COLUMN tas_id TO account_num") # ### end Alembic commands ### def downgrade_data_broker(): # ### commands auto generated by Alembic - please adjust! ### # appropriation changes op.execute("ALTER TABLE appropriation RENAME COLUMN account_num TO tas_id") op.execute("ALTER INDEX ix_appropriation_account_num RENAME TO ix_appropriation_tas_id") op.execute("ALTER INDEX ix_appropriation_account_num_submission_id RENAME TO ix_appropriation_tas_id_submission_id") # object_class_program_activity changes op.execute("ALTER TABLE object_class_program_activity RENAME COLUMN account_num TO tas_id") op.execute("ALTER INDEX ix_oc_pa_account_num_submission_id RENAME TO ix_oc_pa_tas_id_submission_id") # award_financial changes op.execute("ALTER TABLE award_financial RENAME COLUMN account_num TO tas_id") op.execute("ALTER INDEX ix_award_financial_account_num RENAME TO ix_award_financial_tas_id") # certified table changes op.execute("ALTER TABLE certified_appropriation RENAME COLUMN account_num TO tas_id") op.execute("ALTER TABLE certified_object_class_program_activity RENAME COLUMN account_num TO tas_id") op.execute("ALTER TABLE certified_award_financial RENAME COLUMN account_num TO tas_id") # ### end Alembic commands ###

40.246575

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0

1

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1

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1

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null

0

5

2d329b3ee64e57b351abbe70103e6431758c1bfd

8,290

py

Python

pagesext/migrations/0001_initial.py

dlancer/django-pages-cms-extensions

4aa6f2780abef9543ced20258ede01a9662167b3

[ "BSD-3-Clause" ]

1

2016-07-08T07:23:20.000Z

pagesext/migrations/0001_initial.py

dlancer/django-pages-cms-extensions

4aa6f2780abef9543ced20258ede01a9662167b3

[ "BSD-3-Clause" ]

null

pagesext/migrations/0001_initial.py

dlancer/django-pages-cms-extensions

4aa6f2780abef9543ced20258ede01a9662167b3

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import migrations, models import pagesext.storage import pagesext.models.pageimagecontent import embed_video.fields import pagesext.models.pagefilecontent import django.utils.timezone from django.conf import settings import image_cropping.fields import taggit.managers class Migration(migrations.Migration): dependencies = [ ('taggit', '0002_auto_20150616_2121'), ('pages', '0001_initial'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='PageFileContent', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('type', models.CharField(max_length=100, verbose_name='Type', db_index=True)), ('language', models.CharField(default=b'en', max_length=5)), ('sid', models.CharField(unique=True, max_length=200)), ('name', models.CharField(unique=True, max_length=200, blank=True)), ('is_extended', models.BooleanField(default=False, verbose_name='Extended?')), ('comment', models.CharField(max_length=250, blank=True)), ('date_created', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Created')), ('date_updated', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Updated')), ('file', models.FileField(storage=pagesext.storage.PageExtFileSystemStorage(), null=True, upload_to=pagesext.models.pagefilecontent.make_file_upload_path, blank=True)), ('title', models.CharField(max_length=160, blank=True)), ('description', models.TextField(max_length=160, blank=True)), ('created_by', models.ForeignKey(related_name='pagesext_pagefilecontent_creator', to=settings.AUTH_USER_MODEL, null=True)), ('page', models.ForeignKey(verbose_name='Page', to='pages.Page')), ('tags', taggit.managers.TaggableManager(to='taggit.Tag', through='taggit.TaggedItem', help_text='A comma-separated list of tags.', verbose_name='Tags')), ('updated_by', models.ForeignKey(related_name='pagesext_pagefilecontent_editor', to=settings.AUTH_USER_MODEL, null=True)), ], options={ 'abstract': False, 'verbose_name': 'File', 'verbose_name_plural': 'File', }, ), migrations.CreateModel( name='PageImageContent', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('type', models.CharField(max_length=100, verbose_name='Type', db_index=True)), ('language', models.CharField(default=b'en', max_length=5)), ('sid', models.CharField(unique=True, max_length=200)), ('name', models.CharField(unique=True, max_length=200, blank=True)), ('is_extended', models.BooleanField(default=False, verbose_name='Extended?')), ('comment', models.CharField(max_length=250, blank=True)), ('date_created', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Created')), ('date_updated', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Updated')), ('image', image_cropping.fields.ImageCropField(storage=pagesext.storage.PageExtFileSystemStorage(), null=True, upload_to=pagesext.models.pageimagecontent.make_image_upload_path, blank=True)), ('cropping', image_cropping.fields.ImageRatioField('image', '600x800', hide_image_field=False, size_warning=True, allow_fullsize=True, free_crop=False, adapt_rotation=False, help_text=None, verbose_name='cropping')), ('title', models.CharField(max_length=250, blank=True)), ('created_by', models.ForeignKey(related_name='pagesext_pageimagecontent_creator', to=settings.AUTH_USER_MODEL, null=True)), ('page', models.ForeignKey(verbose_name='Page', to='pages.Page')), ('tags', taggit.managers.TaggableManager(to='taggit.Tag', through='taggit.TaggedItem', help_text='A comma-separated list of tags.', verbose_name='Tags')), ('updated_by', models.ForeignKey(related_name='pagesext_pageimagecontent_editor', to=settings.AUTH_USER_MODEL, null=True)), ], options={ 'abstract': False, 'verbose_name': 'Image', 'verbose_name_plural': 'Images', }, ), migrations.CreateModel( name='PageTagsContent', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('type', models.CharField(max_length=100, verbose_name='Type', db_index=True)), ('language', models.CharField(default=b'en', max_length=5)), ('sid', models.CharField(unique=True, max_length=200)), ('name', models.CharField(unique=True, max_length=200, blank=True)), ('is_extended', models.BooleanField(default=False, verbose_name='Extended?')), ('comment', models.CharField(max_length=250, blank=True)), ('date_created', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Created')), ('date_updated', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Updated')), ('created_by', models.ForeignKey(related_name='pagesext_pagetagscontent_creator', to=settings.AUTH_USER_MODEL, null=True)), ('page', models.ForeignKey(verbose_name='Page', to='pages.Page')), ('tags', taggit.managers.TaggableManager(to='taggit.Tag', through='taggit.TaggedItem', help_text='A comma-separated list of tags.', verbose_name='Tags')), ('updated_by', models.ForeignKey(related_name='pagesext_pagetagscontent_editor', to=settings.AUTH_USER_MODEL, null=True)), ], options={ 'abstract': False, 'verbose_name': 'Tags', 'verbose_name_plural': 'Tags', }, ), migrations.CreateModel( name='PageVideoContent', fields=[ ('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)), ('type', models.CharField(max_length=100, verbose_name='Type', db_index=True)), ('language', models.CharField(default=b'en', max_length=5)), ('sid', models.CharField(unique=True, max_length=200)), ('name', models.CharField(unique=True, max_length=200, blank=True)), ('is_extended', models.BooleanField(default=False, verbose_name='Extended?')), ('comment', models.CharField(max_length=250, blank=True)), ('date_created', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Created')), ('date_updated', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Updated')), ('video', embed_video.fields.EmbedVideoField(blank=True)), ('title', models.CharField(max_length=160, blank=True)), ('description', models.TextField(max_length=160, blank=True)), ('created_by', models.ForeignKey(related_name='pagesext_pagevideocontent_creator', to=settings.AUTH_USER_MODEL, null=True)), ('page', models.ForeignKey(verbose_name='Page', to='pages.Page')), ('tags', taggit.managers.TaggableManager(to='taggit.Tag', through='taggit.TaggedItem', help_text='A comma-separated list of tags.', verbose_name='Tags')), ('updated_by', models.ForeignKey(related_name='pagesext_pagevideocontent_editor', to=settings.AUTH_USER_MODEL, null=True)), ], options={ 'abstract': False, 'verbose_name': 'Video', 'verbose_name_plural': 'Video', }, ), ]

65.793651

232

0.632449

868

8,290

5.839862

0.148618

0.080292

0.039061

0.052081

0.795226

0.794239

0.75577

0.745315

0

0.014612

0.224005

8,290

125

233

66.32

0.773356

0.002533

0

0.605042

0

0.172735

0.033749

0

1

0

false

0

0.084034

0

0.109244

0

null

0

1

0

null

0

5

744782cf5523d4eadd1bdbf7aee798094cec55cb

74

py

Python

numerical analysis/main.py

yubinCloud/UndergraduateEducationProgramming

c0555bb470ab0258436d835cdf20328d93c14999

[ "MIT" ]

null

numerical analysis/main.py

yubinCloud/UndergraduateEducationProgramming

c0555bb470ab0258436d835cdf20328d93c14999

[ "MIT" ]

null

numerical analysis/main.py

yubinCloud/UndergraduateEducationProgramming

c0555bb470ab0258436d835cdf20328d93c14999

[ "MIT" ]

null

import numpy as np import sympy as sp if __name__ == '__main__': pass

14.8

26

0.702703

12

74

3.666667

0.833333

0

0.22973

74

5

27

14.8

0.77193

0

0.106667

0

1

0

true

0.25

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

77a9430987b1466e2d9ddc43ac194088eede843e

115

py

Python

bluemoon/music/admin.py

arpitvaghela/blue-moon

e583d2a0749893f355e32c7a537fc0d96087505b

[ "BSD-3-Clause" ]

null

bluemoon/music/admin.py

arpitvaghela/blue-moon

e583d2a0749893f355e32c7a537fc0d96087505b

[ "BSD-3-Clause" ]

null

bluemoon/music/admin.py

arpitvaghela/blue-moon

e583d2a0749893f355e32c7a537fc0d96087505b

[ "BSD-3-Clause" ]

null

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

23

32

0.808696

17

115

5.470588

0.647059

0

0.121739

115

4

33

28.75

0.920792

0.226087

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

77f0bc308914bca1879800dc6e5c2f0fe66c3f43

126

py

Python

PEP0343/__init__.py

bzd111/pep_doc

6b208c9260c54ce5972e09ca2b4b801447221524

[ "MIT" ]

null

PEP0343/__init__.py

bzd111/pep_doc

6b208c9260c54ce5972e09ca2b4b801447221524

[ "MIT" ]

null

PEP0343/__init__.py

bzd111/pep_doc

6b208c9260c54ce5972e09ca2b4b801447221524

[ "MIT" ]

null

# coding=utf-8 # from __future__ import absolute_import from .base import contextmanager if __name__ == '__main__': pass

18

40

0.753968

16

126

5.125

0.8125

0

0.009524

0.166667

126

7

41

18

0.771429

0.404762

0

0.109589

0

1

0

true

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

5

7ad7039daaceb4763c20448df72e00608c10cd59

66

py

Python

src/Lib/browser/webworker.py

JerryFox/karel

df6557d145abb3f799655b2ef12cd7fb18c03b18

[ "BSD-3-Clause" ]

null

src/Lib/browser/webworker.py

JerryFox/karel

df6557d145abb3f799655b2ef12cd7fb18c03b18

[ "BSD-3-Clause" ]

null

src/Lib/browser/webworker.py

JerryFox/karel

df6557d145abb3f799655b2ef12cd7fb18c03b18

[ "BSD-3-Clause" ]

null

class Worker: def __init__(self, target, *args): pass

16.5

38

0.606061

8

66

4.5

1

0

0.287879

66

3

39

22

0.765957

0

1

0.333333

false

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

7afe8db9629352c7d2088a70f816aaf207f49304

108

py

Python

traildb/__init__.py

bgyss/traildb-python

33fd743e09fda371509e550cfa62d8a10a322ab8

[ "MIT" ]

2

2021-07-09T02:28:06.000Z

2022-01-26T02:50:48.000Z

traildb/__init__.py

bgyss/traildb-python

33fd743e09fda371509e550cfa62d8a10a322ab8

[ "MIT" ]

null

traildb/__init__.py

bgyss/traildb-python

33fd743e09fda371509e550cfa62d8a10a322ab8

[ "MIT" ]

null

from .traildb import TrailDBError, TrailDBConstructor, TrailDB, TrailDBCursor, tdb_item_field, tdb_item_val

54

107

0.861111

13

108

6.846154

0.769231

0.157303

0

0.083333

108

1

108

0.89899

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

bb16d0bf11e581bfa77e992018cb9c6482861f53

45

py

Python

stanfordnlp/models/common/pretrain.py

IgorTavcar/classla

5a1246b62eb352af631d4f4593f467e9ccbd3777

[ "Apache-2.0" ]

12

2019-11-25T14:51:21.000Z

2021-02-21T16:59:38.000Z

stanfordnlp/models/common/pretrain.py

IgorTavcar/classla

5a1246b62eb352af631d4f4593f467e9ccbd3777

[ "Apache-2.0" ]

23

2021-03-12T13:17:17.000Z

2022-02-14T08:56:53.000Z

stanfordnlp/models/common/pretrain.py

IgorTavcar/classla

5a1246b62eb352af631d4f4593f467e9ccbd3777

[ "Apache-2.0" ]

7

2021-04-04T15:04:27.000Z

2022-02-20T17:33:39.000Z

from classla.models.common.pretrain import *

22.5

44

0.822222

6

45

6.166667

1

0

0.088889

45

1

45

0.902439

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

bb30ef8d8d7844eaa1bc882758ef977ee9b14f7b

122

py

Python

states/__init__.py

DevonSchwartz/COVIDStateTracker

57e9a1dfd9eef25ebaf91ea5adc0898f26ca87fd

[ "Unlicense" ]

null

states/__init__.py

DevonSchwartz/COVIDStateTracker

57e9a1dfd9eef25ebaf91ea5adc0898f26ca87fd

[ "Unlicense" ]

null

states/__init__.py

DevonSchwartz/COVIDStateTracker

57e9a1dfd9eef25ebaf91ea5adc0898f26ca87fd

[ "Unlicense" ]

null

# from states import getDF, getDate,getState,getLength,getDeathsToDate,getDailyDeathCount,getCasesToDate,getDailyCaseCount

122

0.893443

11

122

9.909091

1

0

0.040984

122

1

122

0.931624

0.983607

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

1

0

null

0

1

0

5

bb42145158bed35bcb1018389d781591daeaaf86

113

py

Python

face_recognition/api_aws/admin.py

Fabriciooml/AWS-Rekognition-with-Django

9a30015dbf8334fe7d2c3fd25e8c32dc4bc9358f

[ "MIT" ]

null

face_recognition/api_aws/admin.py

Fabriciooml/AWS-Rekognition-with-Django

9a30015dbf8334fe7d2c3fd25e8c32dc4bc9358f

[ "MIT" ]

null

face_recognition/api_aws/admin.py

Fabriciooml/AWS-Rekognition-with-Django

9a30015dbf8334fe7d2c3fd25e8c32dc4bc9358f

[ "MIT" ]

1

2021-11-05T19:32:16.000Z

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

22.6

32

0.80531

17

113

5.352941

0.647059

0

0.123894

113

5

33

22.6

0.919192

0.230089

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

bb44796243bceddbbb995e5f6195d2d7d46aa060

248

py

Python

schemas/root_schema.py

aspa795/api-fastapi-graphql

208cfd937ef39ea9958698228262a8c8bd45974f

[ "MIT" ]

null

schemas/root_schema.py

aspa795/api-fastapi-graphql

208cfd937ef39ea9958698228262a8c8bd45974f

[ "MIT" ]

null

schemas/root_schema.py

aspa795/api-fastapi-graphql

208cfd937ef39ea9958698228262a8c8bd45974f

[ "MIT" ]

null

import graphene from schemas import (post_schema, comment_schema) class Query(post_schema.Query, comment_schema.Query, graphene.ObjectType): pass class Mutation(post_schema.Mutation, comment_schema.Mutation, graphene.ObjectType): pass

20.666667

83

0.802419

31

248

6.225806

0.387097

0.15544

0.227979

0

0.120968

248

11

84

22.545455

0.885321

0

0.333333

0

1

0

true

0.333333

0

0.666667

0

null

0

1

0

null

0

1

0

1

0

5

bb57c2574aeb643169c08ab0a10c79e595587427

189

py

Python

0x07-python-test_driven_development/101-lazy_matrix_mul.py

coding-max/holbertonschool-higher_level_programming

392fed1ae686642b6cca6bb6752050882bbf79fc

[ "MIT" ]

1

2021-04-26T03:45:12.000Z

0x07-python-test_driven_development/101-lazy_matrix_mul.py

coding-max/holbertonschool-higher_level_programming

392fed1ae686642b6cca6bb6752050882bbf79fc

[ "MIT" ]

null

0x07-python-test_driven_development/101-lazy_matrix_mul.py

coding-max/holbertonschool-higher_level_programming

392fed1ae686642b6cca6bb6752050882bbf79fc

[ "MIT" ]

1

2022-02-02T02:44:35.000Z

#!/usr/bin/python3 """multiplies 2 matrices by using the module NumPy.""" import numpy def lazy_matrix_mul(m_a, m_b): """multiplies 2 matrices""" return (numpy.matmul(m_a, m_b))

18.9

54

0.687831

31

189

4

0.677419

0.177419

0.306452

0.064516

0

0.018987

0.164021

189

9

55

21

0.765823

0.465608

0

1

0.333333

false

0

0.333333

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

246d7f7b8f5566032689e79b0d33158615f585f2

129

py

Python

terraform_projects/ecs_django_template/terraform/deploy/pa-rotation.py

romelBen/aws-projects

3fa94c4d6367a17349c1162350d05733be32a4b6

[ "MIT" ]

null

terraform_projects/ecs_django_template/terraform/deploy/pa-rotation.py

romelBen/aws-projects

3fa94c4d6367a17349c1162350d05733be32a4b6

[ "MIT" ]

null

terraform_projects/ecs_django_template/terraform/deploy/pa-rotation.py

romelBen/aws-projects

3fa94c4d6367a17349c1162350d05733be32a4b6

[ "MIT" ]

null

version https://git-lfs.github.com/spec/v1 oid sha256:8cb64206c030ea2508c2cb41ceb61c7097cfaf2026e8c67d02ae7df17f417282 size 3358

32.25

75

0.883721

13

129

8.769231

1

0

0.390244

0.046512

129

3

76

43

0.536585

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

null

1

0

1

0

5

2470a741c18ed2d67de208b576dc29c04892430c

145

py

Python

netmiko/awplus/__init__.py

openmymai/netmiko

388ab072c9c6d804dad54e13d8665182f4b74449

[ "MIT" ]

1

2022-01-23T00:00:40.000Z

netmiko/awplus/__init__.py

openmymai/netmiko

388ab072c9c6d804dad54e13d8665182f4b74449

[ "MIT" ]

1

2020-12-29T13:14:54.000Z

netmiko/awplus/__init__.py

openmymai/netmiko

388ab072c9c6d804dad54e13d8665182f4b74449

[ "MIT" ]

null

from netmiko.awplus.awplus_ssh import AwplusSSH, AwplusTelnet, AwplusFileTransfer __all__ = ["AwplusSSH", "AwplusTelnet", "AwplusFileTransfer"]

36.25

81

0.813793

13

145

8.692308

0.692308

0.371681

0.690265

0

0.082759

145

3

82

48.333333

0.849624

0

0.268966

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

24887658121eca792d63663b3a751c81cfcfa742

38

py

Python

pyscreener/md/__init__.py

futianfan/pyscreener

15cce4ca8002ba083254aefa716d0e9c3ef00dba

[ "MIT" ]

34

2021-01-08T00:32:01.000Z

2022-02-20T20:02:55.000Z

molpal/objectives/pyscreener/md/__init__.py

ashuein/molpal

1e17a0c406516ceaeaf273a6983d06206bcfe76f

[ "MIT" ]

24

2021-01-29T18:28:45.000Z

2022-03-22T21:48:01.000Z

molpal/objectives/pyscreener/md/__init__.py

ashuein/molpal

1e17a0c406516ceaeaf273a6983d06206bcfe76f

[ "MIT" ]

13

2021-01-09T11:07:03.000Z

2022-02-10T23:08:11.000Z

from pyscreener.md.md import simulate

19

37

0.842105

6

38

5.333333

0.833333

0

0.105263

38

1

38

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

24905c9cad487ec483132207db03c7681256e10f

2,417

py

Python

src/models/non_signature_models.py

BorgwardtLab/Imputing_Signatures

9551e892f71703bde46907c9e2765c01fe4f1b27

[ "BSD-3-Clause" ]

1

2020-09-23T09:37:23.000Z

src/models/non_signature_models.py

BorgwardtLab/Imputing_Signatures

9551e892f71703bde46907c9e2765c01fe4f1b27

[ "BSD-3-Clause" ]

null

src/models/non_signature_models.py

BorgwardtLab/Imputing_Signatures

9551e892f71703bde46907c9e2765c01fe4f1b27

[ "BSD-3-Clause" ]

null

import torch import torch.nn as nn class LSTM(nn.Module): """As the usual nn.LSTM module. - Must specify the hidden_size parameter. - The batch_first parameter is fixed to False. - The bidirectional parameter is fixed to False (we want to be causal). - Must also specify an out_channels parameter. A linear map will be added from the hidden state to the output. """ def __init__(self, out_channels, **kwargs): super().__init__() hidden_size = kwargs['hidden_size'] kwargs['batch_first'] = True kwargs['bidirectional'] = False self.lstm = nn.LSTM(**kwargs) self.linear = nn.Linear(2 * hidden_size, out_channels) def forward(self, x, lengths): # `x` should be a three dimensional tensor (batch, stream, channel) # `lengths` should be a one dimensional tensor (batch,) giving the true length of each batch element along the # stream dimension x = nn.utils.rnn.pack_padded_sequence(x, lengths, batch_first=True, enforce_sorted=False) _, (h, c) = self.lstm(x) h = h[-1] c = c[-1] x = torch.cat([h, c], dim=1) x = self.linear(x) return x class GRU(nn.Module): """As the usual nn.GRU module. - Must specify the hidden_size parameter. - The batch_first parameter is fixed to False. - The bidirectional parameter is fixed to False (we want to be causal). - Must also specify an out_channels parameter. A linear map will be added from the hidden state to the output. """ def __init__(self, out_channels, **kwargs): super().__init__() kwargs['batch_first'] = True kwargs['bidirectional'] = False self.hidden_size = kwargs['hidden_size'] self.num_layers = kwargs.get('num_layers', 1) self.gru = nn.GRU(**kwargs) self.linear = nn.Linear(self.hidden_size, out_channels) def forward(self, x, lengths): # `x` should be a three dimensional tensor (batch, stream, channel) # `lengths` should be a one dimensional tensor (batch,) giving the true length of each batch element along the # stream dimension x = nn.utils.rnn.pack_padded_sequence(x, lengths, batch_first=True, enforce_sorted=False) _, x = self.gru(x) x = x[-1] # take the last GRU layer x = self.linear(x) return x

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0.043185

0.048583

0.882591

0.815115

0.762483

0.697706

0

0.003392

0.268101

2,417

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37.184615

0.83437

0.41746

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0.484848

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0

null

0

1

0

1

0

null

0

5

249267769c2f5d8274bc6b8a446ba27b64d412e7

154

py

Python

src/pyaC/mtools/__init__.py

mirofedurco/PyAstronomy

b0e5806a18bde647654e6c9de323327803722864

[ "MIT" ]

98

2015-01-01T12:46:05.000Z

2022-02-13T14:17:36.000Z

src/pyaC/mtools/__init__.py

mirofedurco/PyAstronomy

b0e5806a18bde647654e6c9de323327803722864

[ "MIT" ]

46

2015-02-10T19:53:38.000Z

2022-01-11T17:26:05.000Z

src/pyaC/mtools/__init__.py

mirofedurco/PyAstronomy

b0e5806a18bde647654e6c9de323327803722864

[ "MIT" ]

38

2015-01-08T17:00:34.000Z

2022-03-04T05:15:22.000Z

from .numericalDerivatives import diffCFD from .integrat import ibtrapz from .zerocross import zerocross1d from .toolbox import degtorad, radtodeg, farat

30.8

46

0.844156

18

154

7.222222

0.666667

0

0.007353

0.116883

154

4

47

38.5

0.948529

0

1

0

true

0

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1

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1

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null

0

1

0

1

0

1

0

5

24c7786f0139a0013e6e172aad27c6da07e8a3ba

310

py

Python

Tools/Html_edit.py

naveeng2402/Quiz_App

5c7e760881d09a5d816b8cfbc497c9c37c25bf23

[ "MIT" ]

1

2021-01-07T06:23:24.000Z

Tools/Html_edit.py

naveeng2402/Quiz_App

5c7e760881d09a5d816b8cfbc497c9c37c25bf23

[ "MIT" ]

1

2021-01-09T03:16:50.000Z

2021-01-09T04:15:32.000Z

Tools/Html_edit.py

naveeng2402/Quiz_App

5c7e760881d09a5d816b8cfbc497c9c37c25bf23

[ "MIT" ]

null

try: with open('text.txt') as f: x = f.readlines() x = [i.strip().replace('''"''', "'") for i in x] x = '\\n'.join(x) except: with open('Tools/text.txt') as f: x = f.readlines() x = [i.strip().replace('''"''', "'") for i in x] x = '\\n'.join(x) print(x)

25.833333

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0.432258

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310

2.851064

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0.119403

0.134328

0.149254

0.731343

0

0.306452

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11

57

28.181818

0.623256

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0.545455

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0.103226

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false

0

0.090909

0

null

0

1

0

null

0

5

24fd982b027f6cd43335be65102a77ecc15ce930

109

py

Python

models/stl10/__init__.py

mathczh/GANL2L

fdffbcb1547cf8f3a7287a4a21d3f4871f3e4e42

[ "MIT" ]

null

models/stl10/__init__.py

mathczh/GANL2L

fdffbcb1547cf8f3a7287a4a21d3f4871f3e4e42

[ "MIT" ]

null

models/stl10/__init__.py

mathczh/GANL2L

fdffbcb1547cf8f3a7287a4a21d3f4871f3e4e42

[ "MIT" ]

null

from __future__ import absolute_import from .cnn import * from .resnet import * # from .orthresnet import *

18.166667

38

0.770642

14

109

5.642857

0.5

0.379747

0

0.165138

109

5

39

21.8

0.868132

0.229358

0

1

0

true

0

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1

0

1

0

null

0

1

0

1

0

5

700fadef8b2a7b0e131be1354bf6be2f18913756

179

py

Python

src/deoxys/data/__init__.py

huynhngoc/deoxys

b2e9936b723807e129fda36d8d6131ca00db558f

[ "MIT" ]

1

2021-12-28T15:48:45.000Z

src/deoxys/data/__init__.py

huynhngoc/deoxys

b2e9936b723807e129fda36d8d6131ca00db558f

[ "MIT" ]

2

2020-06-26T11:03:53.000Z

2020-06-26T11:05:09.000Z

src/deoxys/data/__init__.py

huynhngoc/deoxys

b2e9936b723807e129fda36d8d6131ca00db558f

[ "MIT" ]

null

# -*- coding: utf-8 -*- __author__ = "Ngoc Huynh Bao" __email__ = "ngoc.huynh.bao@nmbu.no" from .data_reader import * from .data_generator import * from .preprocessor import *

17.9

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0.703911

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179

4.833333

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9

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0

null

0

1

0

1

0

5

703c994d202348a2d76e192f2569babb999e404a

2,718

py

Python

dotbimpy/tests/test_add_files.py

paireks/dotbimpy

7727bd5eb4b7dbe9db2d79bf9f52ca55eac5de8e

[ "MIT" ]

20

2022-02-17T20:41:45.000Z

2022-03-24T11:19:17.000Z

dotbimpy/tests/test_add_files.py

paireks/dotbimpy

7727bd5eb4b7dbe9db2d79bf9f52ca55eac5de8e

[ "MIT" ]

1

2022-03-18T15:09:54.000Z

2022-03-18T18:12:27.000Z

dotbimpy/tests/test_add_files.py

paireks/dotbimpy

7727bd5eb4b7dbe9db2d79bf9f52ca55eac5de8e

[ "MIT" ]

2

2022-03-07T05:56:27.000Z

2022-03-07T20:17:23.000Z

from dotbimpy import * import copy def test__add__pyramid_cubes(): file_a = File.read("Pyramid.bim") file_b = File.read("Cubes.bim") file_result = file_a + file_b assert file_result.schema_version == file_a.schema_version assert file_result.info == file_a.info # Check meshes assert file_result.meshes[0] == file_a.meshes[0] assert file_result.meshes[1].equals_without_mesh_id(file_b.meshes[0]) assert file_result.meshes[1].mesh_id == 1 # Check elements assert file_result.elements[0] == file_a.elements[0] assert file_result.elements[1].equals_without_mesh_id(file_b.elements[0]) and file_result.elements[1].mesh_id == 1 assert file_result.elements[2].equals_without_mesh_id(file_b.elements[1]) and file_result.elements[2].mesh_id == 1 assert file_result.elements[3].equals_without_mesh_id(file_b.elements[2]) and file_result.elements[3].mesh_id == 1 def test__add__cubes_pyramid(): file_a = File.read("Cubes.bim") file_b = File.read("Pyramid.bim") file_result = file_a + file_b assert file_result.schema_version == file_a.schema_version assert file_result.info == file_a.info assert file_result.meshes[1].mesh_id == 1 # Check meshes assert file_result.meshes[0] == file_a.meshes[0] assert file_result.meshes[1].equals_without_mesh_id(file_b.meshes[0]) # Check elements assert file_result.elements[0] == file_a.elements[0] assert file_result.elements[1] == file_a.elements[1] assert file_result.elements[2] == file_a.elements[2] assert file_result.elements[3].equals_without_mesh_id(file_b.elements[0]) and file_result.elements[3].mesh_id == 1 def test__add__walls_truss__check_if_originals_changed(): file_a = File.read("WallsWithBeams.bim") file_b = File.read("Truss.bim") file_a_copy = copy.deepcopy(file_a) file_b_copy = copy.deepcopy(file_b) file_result = file_a + file_b assert file_a == file_a_copy assert file_b == file_b_copy def test__add__walls_truss(): file_a = File.read("WallsWithBeams.bim") file_b = File.read("Truss.bim") file_result = file_a + file_b assert file_result.schema_version == file_a.schema_version assert file_result.info == file_a.info # Check meshes assert file_result.meshes[0] == file_a.meshes[0] assert file_result.meshes[1] == file_a.meshes[1] for i in range(5): assert file_result.meshes[i+2].equals_without_mesh_id(file_b.meshes[i]) # Check elements for i in range(7): assert file_result.elements[i] == file_a.elements[i] for i in range(7, len(file_result.elements)): assert file_result.elements[i].equals_without_mesh_id(file_b.elements[i-7])

33.555556

118

0.722958

441

2,718

4.124717

0.102041

0.186916

0.219901

0.131941

0.826828

0.725673

0.71138

0.637713

0.62122

0.588235

0

0.019746

0.161516

2,718

80

119

33.975

0.778412

0.030537

0

0.46

0

0.035782

0

0.54

1

0.08

false

0

0.04

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0.12

0

null

0

1

0

1

0

null

0

1

0

5

704a0897b2d2df347415d26b7770697691592a8d

542

py

Python

pytorch_grad_cam/__init__.py

hddlovefxx/-pytorch-grad-cam

6eb5bd3a41bcd661c6acc53853258282286768fe

[ "MIT" ]

null

pytorch_grad_cam/__init__.py

hddlovefxx/-pytorch-grad-cam

6eb5bd3a41bcd661c6acc53853258282286768fe

[ "MIT" ]

null

pytorch_grad_cam/__init__.py

hddlovefxx/-pytorch-grad-cam

6eb5bd3a41bcd661c6acc53853258282286768fe

[ "MIT" ]

null

from pytorch_grad_cam.grad_cam import GradCAM from pytorch_grad_cam.ablation_cam import AblationCAM from pytorch_grad_cam.xgrad_cam import XGradCAM from pytorch_grad_cam.grad_cam_plusplus import GradCAMPlusPlus from pytorch_grad_cam.score_cam import ScoreCAM from pytorch_grad_cam.layer_cam import LayerCAM from pytorch_grad_cam.eigen_cam import EigenCAM from pytorch_grad_cam.eigen_grad_cam import EigenGradCAM from pytorch_grad_cam.fullgrad_cam import FullGrad from pytorch_grad_cam.guided_backprop import GuidedBackpropReLUModel

49.272727

69

0.889299

82

542

5.487805

0.280488

0.202222

0.333333

0.4

0.213333

0.111111

0

0.092251

542

10

70

54.2

0.914634

0

1

0

true

0

1

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1

0

null

1

0

null

0

1

0

1

0

5

7067dab243bd530f5e1781bf31a36ae424c4e821

93

py

Python

src/devtools/python/map_cfg.py

JJL772/source-2013-custom

68c6d8c9f7af5ef3ab8d748188e5162236099052

[ "Unlicense" ]

2

2020-07-14T22:36:43.000Z

2021-03-21T17:51:33.000Z

src/devtools/python/map_cfg.py

JJL772/source-2013-custom

68c6d8c9f7af5ef3ab8d748188e5162236099052

[ "Unlicense" ]

null

src/devtools/python/map_cfg.py

JJL772/source-2013-custom

68c6d8c9f7af5ef3ab8d748188e5162236099052

[ "Unlicense" ]

null

#!/usr/bin/env python3 # Graphical map configuration tool import PyQt5 import os, sys, json

15.5

34

0.763441

14

93

5.071429

0.928571

0

0.025316

0.150538

93

6

35

15.5

0.873418

0.580645

0

1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

5

7072fd9ef14822d597f1534a584295368a2a693a

1,607

py

Python

photoplaces/photoplaces_web/migrations/0006_auto_20141105_1304.py

joonamo/photoplaces

2223f62459e5141ce5bb5325ad83e5975f1545c7

[ "MIT" ]

null

photoplaces/photoplaces_web/migrations/0006_auto_20141105_1304.py

joonamo/photoplaces

2223f62459e5141ce5bb5325ad83e5975f1545c7

[ "MIT" ]

null

photoplaces/photoplaces_web/migrations/0006_auto_20141105_1304.py

joonamo/photoplaces

2223f62459e5141ce5bb5325ad83e5975f1545c7

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('photoplaces_web', '0005_auto_20141105_1240'), ] operations = [ migrations.AddField( model_name='normalizedphotoset', name='hour_z_cycle_length', field=models.FloatField(null=True, blank=True), preserve_default=True, ), migrations.AddField( model_name='normalizedphotoset', name='month_z_cycle_length', field=models.FloatField(null=True, blank=True), preserve_default=True, ), migrations.AlterField( model_name='normalizedphotoentry', name='hour', field=models.FloatField(db_index=True, null=True, blank=True), preserve_default=True, ), migrations.AlterField( model_name='normalizedphotoentry', name='location_x', field=models.FloatField(db_index=True, null=True, blank=True), preserve_default=True, ), migrations.AlterField( model_name='normalizedphotoentry', name='location_y', field=models.FloatField(db_index=True, null=True, blank=True), preserve_default=True, ), migrations.AlterField( model_name='normalizedphotoentry', name='month', field=models.FloatField(db_index=True, null=True, blank=True), preserve_default=True, ), ]

31.509804

74

0.59303

148

1,607

6.216216

0.297297

0.058696

0.136957

0.11087

0.8

0.704348

0

0.015152

0.301805

1,607

50

75

32.14

0.804813

0.013068

0

0.681818

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1

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false

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0.045455

0

0.113636

0

null

0

1

0

null

0

5

561da6b8dd8544f442aaaa1662f41eeaeca12288

162

py

Python

myvectors/__init__.py

SHREYAS1188/vector_python_package

8ec69bb8219ae1b09e1e935822a80d8cbd638da3

[ "MIT" ]

1

2020-12-05T13:10:38.000Z

myvectors/__init__.py

SHREYAS1188/vector_python_package

8ec69bb8219ae1b09e1e935822a80d8cbd638da3

[ "MIT" ]

1

2020-07-02T18:56:58.000Z

myvectors/__init__.py

SHREYAS1188/vector_python_package

8ec69bb8219ae1b09e1e935822a80d8cbd638da3

[ "MIT" ]

2

2020-07-02T04:48:38.000Z

2022-02-03T04:55:22.000Z

from math import sqrt,acos,degrees from myvectors.myvectors import mag,dot,cross,projection,angle,trianglearea,sectionsutram,collinear3,s_triplepro,v_triplepro

54

125

0.864198

22

162

6.272727

0.818182

0

0.006579

0.061728

162

2

126

81

0.901316

0

1

0

true

0

1

0

1

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1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

5644cd4815ef92ba6e0b36617496d6138abd0613

139

py

Python

tts_wrapper/__init__.py

mrx23dot/tts-wrapper

18b812379d3b06019f114cffef73086522cf06f2

[ "MIT" ]

10

2020-06-30T14:53:16.000Z

2022-03-21T12:04:21.000Z

tts_wrapper/__init__.py

luizcbprt/tts-wrapper

483c4cccc3fa23bc1b4225c50ce33a6ca7afe6c5

[ "MIT" ]

3

2021-04-29T16:43:38.000Z

2022-03-28T19:58:04.000Z

tts_wrapper/__init__.py

luizcbprt/tts-wrapper

483c4cccc3fa23bc1b4225c50ce33a6ca7afe6c5

[ "MIT" ]

4

2020-05-11T07:38:51.000Z

2022-03-17T23:30:27.000Z

from .google import GoogleTTS from .microsoft import MicrosoftTTS from .polly import PollyTTS, AwsCredentials from .watson import WatsonTTS

34.75

43

0.848921

17

139

6.941176

0.647059

0

0.115108

139

4

44

34.75

0.95935

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

56882f4ad7c78de9c14f0eba15fa32117baa3018

200

py

Python

sources_of_project/main.py

Yuriy-Leonov/installer-with-cx_Freeze

9b1193ae15819ebd10b40fa5bbe07983f5aae4a1

[ "Apache-2.0" ]

null

sources_of_project/main.py

Yuriy-Leonov/installer-with-cx_Freeze

9b1193ae15819ebd10b40fa5bbe07983f5aae4a1

[ "Apache-2.0" ]

null

sources_of_project/main.py

Yuriy-Leonov/installer-with-cx_Freeze

9b1193ae15819ebd10b40fa5bbe07983f5aae4a1

[ "Apache-2.0" ]

null

from some_packet import module_name import some_module import some_other_module print(module_name.module_1) print(some_module.module_2) print(some_other_module.module_3) input("press Enter to exit")

22.222222

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200

4.676471

0.470588

0.125786

0.188679

0

0.016304

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200

8

36

25

0.847826

0

0.095

0

1

0

true

0

0.428571

0

0.428571

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

5696705488650891f4a6af0412703daa89ba42d2

75

py

Python

lppydsmc/collision/__init__.py

Quettle/lppydsmc

37290792e845086f7ea182d81f284d68b6cdcbea

[ "MIT" ]

null

lppydsmc/collision/__init__.py

Quettle/lppydsmc

37290792e845086f7ea182d81f284d68b6cdcbea

[ "MIT" ]

null

lppydsmc/collision/__init__.py

Quettle/lppydsmc

37290792e845086f7ea182d81f284d68b6cdcbea

[ "MIT" ]

null

from . import collider from .collider import handler_particles_collisions

18.75

50

0.853333

9

75

6.888889

0.666667

0

0.12

75

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51

25

0.939394

0

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true

0

1

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null

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1

0

null

0

1

0

1

0

1

0

5

56a88db188ef5a7f76f25345d34a6f5c219def0a

331

py

Python

tests/unit/gui/widget/test_tab_page.py

matthewgdv/iohandler

1df420dd3ae2e022d0aa4db864fd4af0dbd665cc

[ "MIT" ]

1

2019-08-28T17:03:27.000Z

tests/unit/gui/widget/test_tab_page.py

matthewgdv/iohandler

1df420dd3ae2e022d0aa4db864fd4af0dbd665cc

[ "MIT" ]

null

tests/unit/gui/widget/test_tab_page.py

matthewgdv/iohandler

1df420dd3ae2e022d0aa4db864fd4af0dbd665cc

[ "MIT" ]

null

class TestTabPage: def test___getitem__(self): # synced assert True def test___setitem__(self): # synced assert True def test___getattr__(self): # synced assert True def test__get_state(self): # synced assert True def test__set_state(self): # synced assert True

20.6875

41

0.63142

39

331

4.820513

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0.18617

0.425532

0.531915

0.734043

0.574468

0

0.305136

331

15

42

22.066667

0.817391

0.102719

0

0.454545

0

0.454545

1

0.454545

false

0

0.545455

0

null

0

1

0

null

0

1

0

1

0

1

0

5

3b368c76b158fd32eb70872522d14d854c4608ec

3,767

py

Python

sto/test_sto.py

hscspring/sto

831e01efdb700a6c9d69b3ce434cac04d893c7c1

[ "MIT" ]

null

sto/test_sto.py

hscspring/sto

831e01efdb700a6c9d69b3ce434cac04d893c7c1

[ "MIT" ]

null

sto/test_sto.py

hscspring/sto

831e01efdb700a6c9d69b3ce434cac04d893c7c1

[ "MIT" ]

null

import pytest from . import Sto from pathlib import Path @pytest.fixture def get_normal_data(): text_list = [ "我爱你，你爱我。", "我爱她，她爱我。", "我爱北京天安门。" ] value_list = [(1, ), (1, ), (0, )] return text_list, value_list @pytest.fixture def get_repeat_data(): text_list = [ "我爱她，她爱我。", "我爱她，她爱我。", "我爱北京天安门。" ] value_list = [(1, ), (1, ), (0, )] return text_list, value_list @pytest.fixture def get_similar_data(): text_list = [ "我爱她，她爱我。", "她爱北京天安门。", "我爱北京天安门。" ] value_list = [(1, ), (1, ), (0, )] return text_list, value_list @pytest.fixture def get_normal_multi_values_data(): text_list = [ "我爱你，你爱我。", "我爱她，她爱我。", "我爱北京天安门。" ] value_list = [(1, 10), (1, 9), (0, 8)] return text_list, value_list def test_sto_add_normal(get_normal_data): text_list, value_list = get_normal_data st = Sto() st.add(text_list, value_list) assert len(st.record_dawg.keys()) == 3 assert not st.lsh.is_empty() def test_sto_add_repeat(get_repeat_data): text_list, value_list = get_repeat_data st = Sto() st.add(text_list, value_list) assert not st.lsh.is_empty() assert len(st.record_dawg.keys()) == 2 def test_sto_add_similar(get_similar_data): """ we do not check when batch adding. """ text_list, value_list = get_similar_data st = Sto() st.add(text_list, value_list) assert not st.lsh.is_empty() assert len(st.record_dawg.keys()) == 3 def test_sto_add_multi_values(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) assert not st.lsh.is_empty() assert len(st.record_dawg.keys()) == 3 def test_query_normal(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) text = "我爱北京天安门。" values = st.query(text) assert values == (0, 8) def test_query_similar(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) text = "她爱北京天安门。" values = st.query(text) assert values == (0, 8) def test_query_similar_with_threshold(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh', threshold=0.3) st.add(text_list, value_list) text = "我在天安门。" values = st.query(text) assert values == (0, 8) def test_sto_store(get_normal_multi_values_data): data_path = "./data" text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) st.store(data_path) lsh_path = Path(data_path) / "lsh.pickle" dawg_path = Path(data_path) / "values.dawg" assert lsh_path.exists() assert dawg_path.exists() def test_sto_load(): st = Sto(value_format='hh') st.load("./data") assert not st.lsh.is_empty() assert len(st.record_dawg.keys()) == 3 def test_sto_get(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) assert st["我爱你，你爱我。"] == (1, 10) def test_sto_contain_similar(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) assert "他爱北京天安门。" in st def test_sto_len(get_normal_multi_values_data): text_list, value_list = get_normal_multi_values_data st = Sto(value_format='hh') st.add(text_list, value_list) assert len(st) == 3

24.94702

68

0.666047

571

3,767

4.035026

0.110333

0.104167

0.146701

0.19184

0.803385

0.737413

0.709201

0.671007

0.666667

0

0.011074

0.20892

3,767

150

69

25.113333

0.762081

0.009026

0

0.622807

0

0.049771

0

0.157895

1

0.140351

false

0

0.026316

0

0.201754

0

null

0

1

0

1

0

null

0

5

3b48d52a46e28b83a5e785840dee378f62c53508

25

py

Python

ooni/deck/__init__.py

xhdix/probe-legacy

d1cc9ed1fc59071cc1c3afad4345d7e5b6cd8873

[ "BSD-2-Clause" ]

24

2018-12-23T12:53:57.000Z

2022-01-19T19:50:53.000Z

ooni/deck/__init__.py

Acidburn0zzz/ooni-probe

22720e383093c0d30fd1b6ca44794d3b29031f91

[ "BSD-2-Clause" ]

64

2018-09-13T08:26:20.000Z

2022-02-11T03:48:34.000Z

ooni/deck/__init__.py

Acidburn0zzz/ooni-probe

22720e383093c0d30fd1b6ca44794d3b29031f91

[ "BSD-2-Clause" ]

9

2019-06-10T01:41:48.000Z

2022-01-08T08:46:25.000Z

from .deck import NGDeck

12.5

24

0.8

4

25

5

1

0

0.16

25

1

25

0.952381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

3b5bb42528fac1b1b9966c726480a2675cb2cc8c

161

py

Python

colony/base.py

ddovbii/colony-cli

aaf70ff0e7491be99a18e71d07a2160380dd14a5

[ "Apache-2.0" ]

null

colony/base.py

ddovbii/colony-cli

aaf70ff0e7491be99a18e71d07a2160380dd14a5

[ "Apache-2.0" ]

null

colony/base.py

ddovbii/colony-cli

aaf70ff0e7491be99a18e71d07a2160380dd14a5

[ "Apache-2.0" ]

null

class Resource(object): def __init__(self, space_name: str) -> None: self._space_name = space_name self._url = f"/spaces/{space_name}"

26.833333

49

0.627329

21

161

4.333333

0.619048

0.395604

0.285714

0

0.248447

161

5

50

32.2

0.752066

0

0.128205

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

3b757683d3152142ecc0e0d385a07ead07cff0a8

4,124

py

Python

graphilp/imports/graph_formats.py

VF-DE-CDS/GraphILP-API

841b80256f06b5dfc9f3bd4e514f1e24fb82b6ce

[ "MIT" ]

14

2021-05-03T10:58:55.000Z

2021-11-25T22:22:29.000Z

graphilp/imports/graph_formats.py

VF-DE-CDS/GraphILP-API

841b80256f06b5dfc9f3bd4e514f1e24fb82b6ce

[ "MIT" ]

null

graphilp/imports/graph_formats.py

VF-DE-CDS/GraphILP-API

841b80256f06b5dfc9f3bd4e514f1e24fb82b6ce

[ "MIT" ]

null

from networkx import Graph import re def edges_to_networkx(path): """ Creates a NetworkX Graph from an .edges file (`Network Repository format <http://networkrepository.com>`__). Network Repository is a large collection of network graph data for research and benchmarking. :param path: path to .edges file :type path: str :returns: a `NetworkX Graph <https://networkx.org/documentation/stable/reference/introduction.html#graphs>`__ """ with open(path, "rt") as input_file: lines = input_file.readlines() edges = [] for line in lines: # Remove + characters. This is not always necessary line = re.sub(' +', ' ', line) # Found a new Edge # Extracting information(startingNode endingNode Distance) parts = line.rstrip().split(" ") # Parse the data into tuples and from Array of Integer and append to list of all edges tuple_data = tuple(int(p) for p in parts[:2]) edges.append((tuple_data[0], tuple_data[1])) # Create a new NetworkX Graph object G = Graph() # Fill the graph with our edges. This method automatically fills in the nodes as well. G.add_edges_from(edges) return G def stp_to_networkx(path): """ Creates a NetworkX Graph from an .stp file (`SteinLib format <http://steinlib.zib.de/format.php>`__). `SteinLib <http://steinlib.zib.de/steinlib.php>`__ is a collection of Steiner tree problems in graphs and variants. The format description can be found `here <http://steinlib.zib.de/format.php>`__ on the SteinLib pages. :param path: path to .stp file :type path: str :returns: a `NetworkX Graph <https://networkx.org/documentation/stable/reference/introduction.html#graphs>`__ and a list of terminals Example: G, terminals = stp_to_networkx("steinlib_instance.stp") """ with open(path, "rt") as input_file: lines = input_file.readlines() edges = [] terminals = [] for line in lines: # Remove + characters. This is not always necessary line = re.sub(' +', ' ', line) # Found a new Edge if line.startswith('E '): # Extracting information(startingNode endingNode Distance) parts = line.rstrip().split(" ")[1:] # Parse the data into tuples and from Array of Integer and append to list of all edges tuple_data = tuple(int(p) for p in parts) edges.append((tuple_data[0], tuple_data[1], {'weight': tuple_data[2]})) # Found a Terminal Node if line.startswith('T '): terminals.append(int(line.rstrip().split(" ")[1])) # Create a new NetworkX Graph object G = Graph() # Fill the graph with our edges. This method automatically fills in the nodes as well. G.add_edges_from(edges) return G, terminals def mis_to_networkx(path): """ Creates a NetworkX Graph from a .mis file (ASCII DIMACS graph format). This is used for maximum independet set benchmarking data from `BHOSLIB <http://sites.nlsde.buaa.edu.cn/~kexu/benchmarks/graph-benchmarks.htm>`__. :param path: path to .edges file :type path: str :returns: a `NetworkX Graph <https://networkx.org/documentation/stable/reference/introduction.html#graphs>`__ """ with open(path, "rt") as input_file: lines = input_file.readlines() edges = [] for line in lines: # Remove + characters. This is not always necessary line = re.sub(' +', ' ', line) # Found a new Edge if line.startswith('e '): # Extracting information(startingNode endingNode Distance) parts = line.rstrip().split(" ")[1:] # Parse the data into tuples and from Array of Integer and append to list of all edges tuple_data = tuple(int(p) for p in parts) edges.append((tuple_data[0], tuple_data[1])) # Create a new NetworkX Graph object G = Graph() # Fill the graph with our edges. This method automatically fills in the nodes as well. G.add_edges_from(edges) return G

33.258065

113

0.646217

558

4,124

4.691756

0.241935

0.034377

0.032086

0.024064

0.739496

0.719633

0.704736

0.646295

0

0.003556

0.25

4,124

123

114

33.528455

0.842871

0.56547

0

0.674419

0

0.01872

0

1

0.069767

false

0

0.046512

0

0.186047

0

null

0

1

0

null

0

5

8e7e0a0ed4eb18d7cc59f1a2ab7a049b1f1ee248

176

py

Python

Statistics/stdeviation.py

ssm29njit/calculator601SheethalJedidiah

2812fbabcf5249eeee8a2f34edd6152cfa2d175e

[ "MIT" ]

1

2020-11-08T05:11:27.000Z

Statistics/stdeviation.py

ssm29njit/calculator601SheethalJedidiah

2812fbabcf5249eeee8a2f34edd6152cfa2d175e

[ "MIT" ]

null

Statistics/stdeviation.py

ssm29njit/calculator601SheethalJedidiah

2812fbabcf5249eeee8a2f34edd6152cfa2d175e

[ "MIT" ]

1

2020-12-09T15:37:51.000Z

import statistics from Statistics.randomNum import getRandomNum def stdev(data, sample_size): sample = getRandomNum(data, sample_size) return statistics.stdev(sample)

25.142857

45

0.795455

21

176

6.571429

0.52381

0.144928

0.202899

0

0.136364

176

7

46

25.142857

0.907895

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

8e859a799bb1dd5c2ce5455df894718c098e9dc8

44

py

Python

tests/__init__.py

osl-incubator/cookiecutter-pypackage

8cdc29393ce78fc79ee587db5bb0584cff03c133

[ "BSD-3-Clause" ]

null

tests/__init__.py

osl-incubator/cookiecutter-pypackage

8cdc29393ce78fc79ee587db5bb0584cff03c133

[ "BSD-3-Clause" ]

null

tests/__init__.py

osl-incubator/cookiecutter-pypackage

8cdc29393ce78fc79ee587db5bb0584cff03c133

[ "BSD-3-Clause" ]

1

2022-03-01T01:46:54.000Z

"""Dunder Init for Pytest Initialization"""

22

43

0.75

5

44

6.6

1

0

0.113636

44

1

44

0.846154

0.840909

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

8ed4b6af9b106c65f00c50ff13f6a4b320a3044a

101

py

Python

_tkinter.py

panda3d/tkinter

a721e71ff059bedc9800d1fce6a5441799990cce

[ "PSF-2.0" ]

null

_tkinter.py

panda3d/tkinter

a721e71ff059bedc9800d1fce6a5441799990cce

[ "PSF-2.0" ]

null

_tkinter.py

panda3d/tkinter

a721e71ff059bedc9800d1fce6a5441799990cce

[ "PSF-2.0" ]

null

import sys from _tkinter_ext import _tkinter sys.modules['_tkinter'] = _tkinter del _tkinter del sys

16.833333

34

0.811881

15

101

5.066667

0.466667

0.263158

0

0.128713

101

5

35

20.2

0.863636

0

0.079208

0

1

0

true

0

0.4

0

0.4

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

8ede1250a51a480b469143bd659b2fd7ee3abf70

17

py

Python

stepik/67/2231/step_2/script.py

tshemake/Software-Development

e6dff82dffa49e66dc5fa5650af775437ebb6a9b

[ "Unlicense" ]

null

stepik/67/2231/step_2/script.py

tshemake/Software-Development

e6dff82dffa49e66dc5fa5650af775437ebb6a9b

[ "Unlicense" ]

null

stepik/67/2231/step_2/script.py

tshemake/Software-Development

e6dff82dffa49e66dc5fa5650af775437ebb6a9b

[ "Unlicense" ]

null

print(int(2.99))

8.5

16

0.647059

4

17

2.75

1

0

0.1875

0.058824

17

1

17

0.5

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8edffd5601443b8be93c6daf8cf9a6f09e0423d6

17

py

Python

Imaobong Tom/Phase 1/Python Basic 1/Day 3/1.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

6

2020-05-23T19:53:25.000Z

2021-05-08T20:21:30.000Z

Imaobong Tom/Phase 1/Python Basic 1/Day 3/1.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

8

2020-05-14T18:53:12.000Z

2020-07-03T00:06:20.000Z

Imaobong Tom/Phase 1/Python Basic 1/Day 3/1.py

CodedLadiesInnovateTech/-python-challenge-solutions

430cd3eb84a2905a286819eef384ee484d8eb9e7

[ "MIT" ]

39

2020-05-10T20:55:02.000Z

2020-09-12T17:40:59.000Z

print (help(abs))

17

0.705882

3

17

4

1

0

0.058824

17

1

17

0.75

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5

8ee994526696277a4f6dc8154f4d13f929c77824

159

py

Python

crime_reporter/admin.py

ezro1245/civilas_web

1195142ab5db94ffd1ad0526c389dcac043331c6

[ "MIT" ]

null

crime_reporter/admin.py

ezro1245/civilas_web

1195142ab5db94ffd1ad0526c389dcac043331c6

[ "MIT" ]

null

crime_reporter/admin.py

ezro1245/civilas_web

1195142ab5db94ffd1ad0526c389dcac043331c6

[ "MIT" ]

null

from django.contrib import admin from .models import CrimeType, Report # Register your models here. admin.site.register(CrimeType) admin.site.register(Report)

26.5

37

0.81761

22

159

5.909091

0.545455

0.138462

0.261538

0

0.100629

159

6

38

26.5

0.909091

0.163522

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

d91671656c8bf8991a3cbfa3cf4071af9928d0b4

41

py

Python

tests/__init__.py

Wielqus/FaceVerify-python

4f21b23a38f786a520d033d9fa0c159dccb25558

[ "MIT" ]

null

tests/__init__.py

Wielqus/FaceVerify-python

4f21b23a38f786a520d033d9fa0c159dccb25558

[ "MIT" ]

null

tests/__init__.py

Wielqus/FaceVerify-python

4f21b23a38f786a520d033d9fa0c159dccb25558

[ "MIT" ]

null

"""Unit test package for face_verify."""

20.5

40

0.707317

6

41

4.666667

1

0

0.121951

41

1

41

0.777778

0.829268

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

d921e4a306f2baa5961ed58187ebf4e6974a7ea6

1,027

py

Python

python/anyascii/_data/_062.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_062.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

python/anyascii/_data/_062.py

casept/anyascii

d4f426b91751254b68eaa84c6cd23099edd668e6

[ "ISC" ]

null

b='Lian Nan Mi Tang Jue Gang Gang Zhuang Ge Yue Wu Jian Xu Shu Rong Xi Cheng Wo Jie Ge Jian Qiang Huo Qiang Zhan Dong Qi Jia Die Zei Jia Ji Zhi Kan Ji Kui Gai Deng Zhan Qiang Ge Jian Jie Yu Jian Yan Lu Hu Zhan Xi Xi Chuo Dai Qu Hu Hu Hu E Shi Ti Mao Hu Li Fang Suo Bian Dian Jiong Shang Yi Yi Shan Hu Fei Yan Shou Shou Cai Zha Qiu Le Pu Ba Da Reng Fan Ru Zai Tuo Zhang Diao Kang Yu Ku Gan Shen Cha Tuo Gu Kou Wu Den Qian Zhi Ren Kuo Men Sao Yang Niu Ban Che Rao Xi Qian Ban Jia Yu Fu Ao Xi Pi Zhi Zhi E Den Zhao Cheng Ji Yan Kuang Bian Chao Ju Wen Hu Yue Jue Ba Qin Dan Zheng Yun Wan Ne Yi Shu Zhua Pou Tou Dou Kang Zhe Pou Fu Pao Ba Ao Ze Tuan Kou Lun Qiang Yun Hu Bao Bing Zhi Peng Nan Bu Pi Tai Yao Zhen Zha Yang Bao He Ni Ye Di Chi Pi Jia Mo Mei Chen Ya Chou Qu Min Chu Jia Fu Zha Zhu Dan Chai Mu Nian La Fu Pao Ban Pai Lin Na Guai Qian Ju Ta Ba Tuo Tuo Ao Ju Zhuo Pan Zhao Bai Bai Di Ni Ju Kuo Long Jian Qia Yong Lan Ning Bo Ze Qian Hen Kuo Shi Jie Zheng Nin Gong Gong Quan Shuan Cun Za Kao Yi Xie Ce Hui Pin Zhuai Shi Na'

1,027

0.748783

257

1,027

2.992218

0.626459

0.015605

0

0.248296

1,027

1

1,027

0.996114

0

1

0.995136

0

1

0

false

0

null

0

1

0

1

0

null

0

5

d92243f4b076b4b4bb07e2e106bd8d9ddaab61a2

203

py

Python

HyperAPI/__init__.py

WassimAbida/HyperAPI

654a72922148d23158e3e4ea4b105f07626c5c36

[ "BSD-3-Clause" ]

null

HyperAPI/__init__.py

WassimAbida/HyperAPI

654a72922148d23158e3e4ea4b105f07626c5c36

[ "BSD-3-Clause" ]

null

HyperAPI/__init__.py

WassimAbida/HyperAPI

654a72922148d23158e3e4ea4b105f07626c5c36

[ "BSD-3-Clause" ]

null

try: from HyperAPI.package_metadata import __version__ except ImportError: __version__ = 0 from HyperAPI.hyper_api.api import Api # noqa: F401 from HyperAPI.hdp_api import Router # noqa: F401

25.375

53

0.773399

28

203

5.214286

0.571429

0.246575

0

0.041667

0.172414

203

7

54

29

0.827381

0.103448

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

d9392195751a091ad6273812cb3dddee420fff6a

250

py

Python

src/models.py

Ak-Shaw/razorpay-django

9be32dbf9c4de31d7340572751e01e725ec251cc

[ "MIT" ]

null

src/models.py

Ak-Shaw/razorpay-django

9be32dbf9c4de31d7340572751e01e725ec251cc

[ "MIT" ]

null

src/models.py

Ak-Shaw/razorpay-django

9be32dbf9c4de31d7340572751e01e725ec251cc

[ "MIT" ]

null

from django.db import models class Payer(models.Model): name = models.CharField(max_length = 100) amount = models.CharField(max_length = 100) payment_id = models.CharField(max_length = 100) paid = models.BooleanField(default = False)

35.714286

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0.732

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250

5.424242

0.606061

0.251397

0.301676

0.402235

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0

0.043269

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250

7

52

35.714286

0.817308

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1

0

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0

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0

null

1

0

1

0

null

0

1

0

5

d96d085be47b2a85e2b6331837c440bac70d6672

201

py

Python

lessinline/api/business/services/permissions.py

skpatro23/lessinline

0f95a8ce40faaa4e814c45c2fc051f7166e27472

[ "MIT" ]

null

lessinline/api/business/services/permissions.py

skpatro23/lessinline

0f95a8ce40faaa4e814c45c2fc051f7166e27472

[ "MIT" ]

null

lessinline/api/business/services/permissions.py

skpatro23/lessinline

0f95a8ce40faaa4e814c45c2fc051f7166e27472

[ "MIT" ]

null

from rest_framework.permissions import BasePermission class IsServiceOwner(BasePermission): def has_object_permission(self, request, view, obj): return obj.business.owner == request.user

28.714286

56

0.781095

23

201

6.695652

0.869565

0

0.144279

201

6

57

33.5

0.895349

0

1

0.25

false

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d96fc9c08a8f276d9768cd33db77889f0fc9cf5f

2,057

py

Python

insights/parsers/mysql_log.py

mglantz/insights-core

6f20bbbe03f53ee786f483b2a28d256ff1ad0fd4

[ "Apache-2.0" ]

1

2020-02-19T06:36:22.000Z

insights/parsers/mysql_log.py

mglantz/insights-core

6f20bbbe03f53ee786f483b2a28d256ff1ad0fd4

[ "Apache-2.0" ]

10

2018-04-16T15:38:04.000Z

2018-05-15T18:43:02.000Z

insights/parsers/mysql_log.py

mglantz/insights-core

6f20bbbe03f53ee786f483b2a28d256ff1ad0fd4

[ "Apache-2.0" ]

null

""" MysqlLog - File ``/var/log/mysqld.log`` ======================================= Module for parsing the log file for Mysql, including ``/var/log/mysqld.log`` and ``/var/opt/rh/rh-mysql*/log/mysql/mysqld.log``. .. note:: By default, logrotate of mysql.log is set to daily. In some lines of log, there are no timestamp. Typical content of ``mysql.log`` file is:: 2018-03-13T06:37:39.651387Z 0 [Warning] InnoDB: New log files created, LSN=45790 2018-03-13T06:37:39.719166Z 0 [Warning] InnoDB: Creating foreign key constraint system tables. 2018-03-13T06:37:39.784406Z 0 [Warning] No existing UUID has been found, so we assume that this is the first time that this server has been started. Generating a new UUID: 0 698a7d6-2689-11e8-8944-0800274ac5ef. 2018-03-13T06:37:39.789636Z 0 [Warning] Gtid table is not ready to be used. Table 'mysql.gtid_executed' cannot be opened. 2018-03-13T06:37:40.498084Z 0 [Warning] CA certificate ca.pem is self signed. 2018-03-13T06:37:41.080591Z 1 [Warning] root@localhost is created with an empty password ! Please consider switching off the --initialize-insecure option. md5_dgst.c(80): OpenSSL internal error, assertion failed: Digest MD5 forbidden in FIPS mode! 06:37:41 UTC - mysqld got signal 6 ; 2018-03-13T07:43:31.450772Z 0 [Note] Event Scheduler: Loaded 0 events 2018-03-13T07:43:31.450988Z 0 [Note] /opt/rh/rh-mysql57/root/usr/libexec/mysqld: ready for connections. Version: '5.7.16' socket: '/var/lib/mysql/mysql.sock' port: 3306 MySQL Community Server (GPL) Examples: >>> my = MysqlLog((context_wrap(MYSQLLOG))) >>> my.get('mysqld')[0]['raw_message'] '06:37:41 UTC - mysqld got signal 6 ;' >>> 'ready for connections' in my True """ from .. import LogFileOutput, parser from insights.specs import Specs @parser(Specs.mysql_log) class MysqlLog(LogFileOutput): """Class for parsing ``/var/log/mysqld.log`` file. .. note:: Please refer to its super-class :class:`insights.core.LogFileOutput` """ pass

42.854167

177

0.693243

320

2,057

4.440625

0.53125

0.033779

0.046446

0.054891

0.098522

0.035186

0

0.1331

0.167234

2,057

47

178

43.765957

0.696439

0.917355

0

1

0

true

0.2

0.4

0

0.6

0

null

0

1

0

null

0

1

0

1

0

5

79468fe34b85be16d384aba1e89267bc3024e813

1,262

py

Python

wavesim/tests/python/test_BuildInfo.py

TheComet/wavesim

90125d5273b96633e5f74666ddb707cedfa2fbf1

[ "Apache-2.0" ]

7

2018-01-25T10:58:39.000Z

2021-05-08T08:08:37.000Z

wavesim/tests/python/test_BuildInfo.py

TheComet/wavesim

90125d5273b96633e5f74666ddb707cedfa2fbf1

[ "Apache-2.0" ]

4

2018-03-06T15:47:13.000Z

2018-03-07T19:07:45.000Z

wavesim/tests/python/test_BuildInfo.py

TheComet/wavesim

90125d5273b96633e5f74666ddb707cedfa2fbf1

[ "Apache-2.0" ]

2

2018-02-18T02:02:31.000Z

2020-02-16T09:49:12.000Z

import wavesim import unittest class TestBuildInfo(unittest.TestCase): def test_build_info(self): self.assertTrue(isinstance(wavesim.build_info, str)) self.assertTrue(len(wavesim.build_info) > 10) def test_build_number(self): self.assertTrue(isinstance(wavesim.build_number, int)) self.assertTrue(wavesim.build_number > 0) def test_build_host(self): self.assertTrue(isinstance(wavesim.build_host, str)) self.assertTrue(len(wavesim.build_info) > 10) def test_build_time(self): from datetime import datetime self.assertTrue(isinstance(wavesim.build_time, str)) try: datetime.strptime(wavesim.build_time, "%Y-%m-%dT%H:%M:%SZ") except: self.fail() def test_commit_info(self): self.assertTrue(isinstance(wavesim.commit_info, str)) self.assertTrue(len(wavesim.commit_info) > 10) def test_compiler_info(self): self.assertTrue(isinstance(wavesim.compiler_info, str)) self.assertTrue(len(wavesim.commit_info) > 1) def test_cmake_configuration(self): self.assertTrue(isinstance(wavesim.cmake_configuration, str)) self.assertTrue(len(wavesim.cmake_configuration) > 10) unittest.main()

33.210526

71

0.691759

154

1,262

5.487013

0.246753

0.215385

0.198817

0.256805

0.575148

0.459172

0.215385

0.118343

0

0.009881

0.198098

1,262

37

72

34.108108

0.825099

0

0.068966

0

0.014263

0

0.448276

1

0.241379

false

0

0.103448

0

0.37931

0

null

1

0

null

0

1

0

1

0

5

795c57e4813ed3173b8c2d7c2c8f42550fdc7e8f

5,270

py

Python

tests/test_mpcdata.py

matthewjohnpayne/MPCData

bf5cc4b846437928d3c7e4bfb8d809f8bf9f9dc4

[ "MIT" ]

null

tests/test_mpcdata.py

matthewjohnpayne/MPCData

bf5cc4b846437928d3c7e4bfb8d809f8bf9f9dc4

[ "MIT" ]

null

tests/test_mpcdata.py

matthewjohnpayne/MPCData

bf5cc4b846437928d3c7e4bfb8d809f8bf9f9dc4

[ "MIT" ]

null

# mpcformat/tests/test_mpcdata.py # import pytest # Third-party imports import json import os # Import other required local modules/functions import mpcdata.params as params # Import the specific package/module/function we are testing import mpcdata.mpcdata as mpcdata ''' def test_MPCMasterFile(): """ Want to see the successful return of a masterDict from an MPCMasterFile object ... both when a local master-file already exists and when it doesn't """ for master_type in ['external']:#, 'internal']: # Forcibly delete any local master-file ('external_master_list.txt') filepath = params.fileDict[master_type] try: os.remove(filepath) except OSError: pass assert not os.path.exists(filepath) # Running open_master_list should # (i) generate a filepath # (ii) download a masterDict & save-it to disk MPCMF = mpcdata.MPCMasterFile(master_type) filepath = MPCMF.filepath masterDict = MPCMF.masterDict assert os.path.exists(filepath) assert 'leap-seconds' in masterDict # Running open_master_list again should just cause a fileread (no download) modtimeBefore = os.path.getmtime(filepath) MPCMF = mpcdata.MPCMasterFile(master_type) filepath = MPCMF.filepath masterDict = MPCMF.masterDict modtimeAfter = os.path.getmtime(filepath) assert modtimeAfter == modtimeBefore assert 'leap-seconds' in masterDict def test_MPCMasterFile_for_nonexistant_type(): """ Want to check what happens when a nonexistant master-list-type is passed This test prob won't work due to poor exception handling """ master_type = 'ThisStringShouldNotWork' try: MPCMF = mpcdata.MPCMasterFile(master_type) passed = True except: passed = False assert not passed ''' def test_MPCFile_external(): """ Want to see the successful return of a filepath & filecontents from MPCFile object ... both when the local file already exists and when it doesn't This is for some EXTERNAL (i.e. non-MPC) file """ filename = 'leap-seconds.list' master_type ='external' expectedfilepath = os.path.join(params.dirDict[master_type],filename) # Forcibly delete any local data file try: os.remove(expectedfilepath) except OSError: pass assert not os.path.exists(expectedfilepath) # Initiating an MPCFile object should allow access to filepath variable MPCF = mpcdata.MPCFile(filename) filepath = MPCF.filename assert filepath == expectedfilepath ''' # Because of the above deletes and that we did NOT download, we expect filepath to still NOT exist assert not os.path.exists(filepath) # Calling get_filedata() method should cause the file to come into existence filedata = MPCF.get_filedata() assert os.path.exists(filepath) assert filedata == MPCF.filedata # The 'leap-seconds.txt' file is expected to contain the string '2272060800' at some point IN = False for item in filedata: if '2272060800' in item: IN = True assert IN # Running MPCF.get_filedata() again should just cause a fileread (no download) modtimeBefore = os.path.getmtime(expectedfilepath) MPCF = mpcdata.MPCFile(filename) filedata = MPCF.get_filedata() modtimeAfter = os.path.getmtime(expectedfilepath) assert modtimeAfter == modtimeBefore assert 'leap-seconds' in masterDict ''' ''' def test_MPCFile_internal(): """ Want to see the successful return of a filepath & filecontents from MPCFile object ... both when the local file already exists and when it doesn't This is for some INTERNAL file (i.e. from MPC website) """ filename = '?????.txt' master_type ='internal' expectedfilepath = os.path.join(params.dirDict[master_type],filename) # Forcibly delete any local file try: os.remove(expectedfilepath) except OSError: pass assert not os.path.exists(expectedfilepath) # Initiating an MPCFile object should allow access to filepath variable MPCF = mpcdata.MPCFile(filename) filepath = MPCF.filename assert filepath == expectedfilepath # Because of the above deletes and that we did NOT download, we expect filepath to still NOT exist assert not os.path.exists(filepath) # Calling get_filedata() method should cause the file to come into existence filedata = MPCF.get_filedata() assert os.path.exists(filepath) assert filedata == MPCF.filedata # The 'leap-seconds.txt' file is expected to contain the string '2272060800' at some point IN = False ; for item in filecontents: if '2272060800' in item: IN = True assert IN # Running MPCF.get_filedata() again should just cause a fileread (no download) modtimeBefore = os.path.getmtime(expectedfilepath) MPCF = mpcdata.MPCFile(filename) filedata = MPCF.get_filedata() modtimeAfter = os.path.getmtime(expectedfilepath) assert modtimeAfter == modtimeBefore assert 'leap-seconds' in masterDict '''

32.530864

102

0.681214

646

5,270

5.504644

0.227554

0.026997

0.033746

0.728628

0.712317

0.701069

0.672666

0

0.010055

0.245161

5,270

161

103

32.732919

0.883861

0.089184

0

0.04717

0

0.125

1

0.0625

false

0.0625

0.25

0

0.3125

0

null

0

1

0

1

0

null

0

1

0

5

7968789657a76b7b6485d03c7c1c35ba234528a0

219

py

Python

project/urls.py

kajala/django-jauth

9a3681d4d0f030a167649ec6cb7ab5f79a71d00c

[ "MIT" ]

null

project/urls.py

kajala/django-jauth

9a3681d4d0f030a167649ec6cb7ab5f79a71d00c

[ "MIT" ]

null

project/urls.py

kajala/django-jauth

9a3681d4d0f030a167649ec6cb7ab5f79a71d00c

[ "MIT" ]

null

from django.contrib import admin from django.urls import path from jauth_example.urls import urlpatterns as jauth_example_urlpatterns urlpatterns = [ path('admin/', admin.site.urls), ] + jauth_example_urlpatterns

24.333333

71

0.799087

29

219

5.862069

0.413793

0.211765

0.270588

0

0.127854

219

8

72

27.375

0.890052

0

0.027397

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

7979f594dcc09de683dcf7ec985ac9188fcd7ea3

290

py

Python

lmctl/client/models/__init__.py

manojn97/lmctl

844925cb414722351efac90cb97f10c1185eef7a

[ "Apache-2.0" ]

3

2021-07-19T09:46:01.000Z

2022-03-07T13:51:25.000Z

lmctl/client/models/__init__.py

manojn97/lmctl

844925cb414722351efac90cb97f10c1185eef7a

[ "Apache-2.0" ]

43

2019-08-27T12:36:29.000Z

2020-08-27T14:50:40.000Z

lmctl/client/models/__init__.py

manojn97/lmctl

844925cb414722351efac90cb97f10c1185eef7a

[ "Apache-2.0" ]

7

2020-09-22T20:32:17.000Z

2022-03-29T12:25:51.000Z

from .intents import (Intent, ExistingAssemblyIntent, CreateAssemblyIntent, ChangeAssemblyStateIntent, DeleteAssemblyIntent, HealAssemblyIntent, ScaleAssemblyIntent, UpgradeAssemblyIntent, CreateOrUpgradeAssemblyIntent, AdoptAssemblyIntent)

72.5

119

0.744828

13

290

16.615385

1

0

0.213793

290

3

120

96.666667

0.947368

0

1

0

true

0

0.333333

0

0.333333

0

1

0

1

null

0

1

0

null

0

1

0

1

0

5

7987a0881618a02ecd5860de94180e2bb22851d1

182

py

Python

src/cancer/message/__init__.py

OpenAlcoholics/telegram-vreddit-bot

ea736f2a8808331abeb5b85ace1cff3faf7466e7

[ "MIT" ]

null

src/cancer/message/__init__.py

OpenAlcoholics/telegram-vreddit-bot

ea736f2a8808331abeb5b85ace1cff3faf7466e7

[ "MIT" ]

1

2021-11-17T15:44:36.000Z

src/cancer/message/__init__.py

OpenAlcoholics/telegram-vreddit-bot

ea736f2a8808331abeb5b85ace1cff3faf7466e7

[ "MIT" ]

null

from .download import DownloadMessage # noqa from .message import Message # noqa from .topic import Topic # noqa from .youtube_url_convert import YoutubeUrlConvertMessage # noqa

36.4

65

0.802198

22

182

6.545455

0.5

0.166667

0

0.153846

182

4

66

45.5

0.935065

0.104396

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8db8bed6bc51b5862db010cb8966625587ba9906

125

py

Python

rllib/algorithms/crr/torch/__init__.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

null

rllib/algorithms/crr/torch/__init__.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

12

2022-03-05T05:37:28.000Z

2022-03-19T07:14:43.000Z

rllib/algorithms/crr/torch/__init__.py

jianoaix/ray

1701b923bc83905f8961c06a6a173e3eba46a936

[ "Apache-2.0" ]

null

from .crr_torch_model import CRRModel from .crr_torch_policy import CRRTorchPolicy __all__ = ["CRRModel", "CRRTorchPolicy"]

25

44

0.816

15

125

6.266667

0.6

0.148936

0.255319

0

0.104

125

4

45

31.25

0.839286

0

0.176

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

5

8df4b86ebc5aa4af400dcb7509f42d37fc57749f

23

py

Python

bindings/pydrake/solvers/__init__.py

RobotLocomotion/drake-python3.7

ae397a4c6985262d23e9675b9bf3927c08d027f5

[ "BSD-3-Clause" ]

2

2021-02-25T02:01:02.000Z

2021-03-17T04:52:04.000Z

bindings/pydrake/solvers/__init__.py

RobotLocomotion/drake-python3.7

ae397a4c6985262d23e9675b9bf3927c08d027f5

[ "BSD-3-Clause" ]

null

bindings/pydrake/solvers/__init__.py

RobotLocomotion/drake-python3.7

ae397a4c6985262d23e9675b9bf3927c08d027f5

[ "BSD-3-Clause" ]

1

2021-06-13T12:05:39.000Z

# Blank Python module.

11.5

22

0.73913

3

23

5.666667

1

0

0.173913

23

1

23

0.894737

0.869565

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

309052b60a03e078d6301891540036e195f123b5

358

py

Python

client/client.py

munichmakerlab/ewindow

6d97713e882b2bcf860d22133bf42350e9ca49d6

[ "MIT" ]

null

client/client.py

munichmakerlab/ewindow

6d97713e882b2bcf860d22133bf42350e9ca49d6

[ "MIT" ]

null

client/client.py

munichmakerlab/ewindow

6d97713e882b2bcf860d22133bf42350e9ca49d6

[ "MIT" ]

null

from ewindow import client from time import sleep print client.state client.initialize() print client.state client.connect() print client.state count = 0 try: while True: sleep(2) count += 1 if(count < 2): print client.nodes_dict # if(count == 2): # break except KeyboardInterrupt: pass

11.933333

33

0.608939

44

358

4.931818

0.545455

0.202765

0.221198

0.202765

0

0.020243

0.310056

358

29

34

12.344828

0.8583

0.064246

0

0.1875

0

null

0.0625

0.125

null

0.25

0

null

1

0

null

0

1

0

1

0

5

30e36111d602e5d671bf6af7709dbe62b6c5f4b7

125

py

Python

jsonclasses_cli/package/kotlin.py

forever9717/jsonclasses-cli

b20d10cdf2d6c970a879e2a64f31555d4d808829

[ "MIT" ]

null

jsonclasses_cli/package/kotlin.py

forever9717/jsonclasses-cli

b20d10cdf2d6c970a879e2a64f31555d4d808829

[ "MIT" ]

null

jsonclasses_cli/package/kotlin.py

forever9717/jsonclasses-cli

b20d10cdf2d6c970a879e2a64f31555d4d808829

[ "MIT" ]

null

from pathlib import Path from jsonclasses.cgraph import CGraph def kotlin(dest: Path, cgraph: CGraph): print("KOTLIN")

17.857143

39

0.752

17

125

5.529412

0.588235

0

0.16

125

6

40

20.833333

0.895238

0

0.048

0

1

0.25

false

0

0.5

0

0.75

0.25

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

a500f35fda9cda855e06ce5c03d44a3494a321e1

18

py

Python

models/example.py

NayeliFeitosa/lol-worlds-2020

a6eeceae51e5907cbcd438922e2f9f9dd5f3cceb

[ "MIT" ]

null

models/example.py

NayeliFeitosa/lol-worlds-2020

a6eeceae51e5907cbcd438922e2f9f9dd5f3cceb

[ "MIT" ]

null

models/example.py

NayeliFeitosa/lol-worlds-2020

a6eeceae51e5907cbcd438922e2f9f9dd5f3cceb

[ "MIT" ]

null

print("testando")

9

17

0.722222

2

18

6.5

1

0

0.055556

18

1

18

0.764706

0

0.444444

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

1

0

5