xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

672e9c42d3f2d17647b4b2896d62df2d841f8b01

8,084

py

Python

test_quiz.py

jjberg83/oving_10

1b70b1a43d0dfa7316c14a9ad81db7cc07422e01

[ "MIT" ]

null

test_quiz.py

jjberg83/oving_10

1b70b1a43d0dfa7316c14a9ad81db7cc07422e01

[ "MIT" ]

null

test_quiz.py

jjberg83/oving_10

1b70b1a43d0dfa7316c14a9ad81db7cc07422e01

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Dec 23 14:12:04 2021 @author: jjberg """ import unittest from quiz import * class TestMultipleChoice(unittest.TestCase): def test_answer_check(self): liste_med_alle_instansene = read_the_document() # Question 1 self.assertFalse(liste_med_alle_instansene[0].answer_check(1)) self.assertFalse(liste_med_alle_instansene[0].answer_check(2)) self.assertFalse(liste_med_alle_instansene[0].answer_check(4)) self.assertTrue(liste_med_alle_instansene[0].answer_check(3)) # Question 2 self.assertFalse(liste_med_alle_instansene[1].answer_check(1)) self.assertFalse(liste_med_alle_instansene[1].answer_check(3)) self.assertFalse(liste_med_alle_instansene[1].answer_check(4)) self.assertTrue(liste_med_alle_instansene[1].answer_check(2)) # Question 3 self.assertFalse(liste_med_alle_instansene[2].answer_check(2)) self.assertFalse(liste_med_alle_instansene[2].answer_check(3)) self.assertFalse(liste_med_alle_instansene[2].answer_check(4)) self.assertTrue(liste_med_alle_instansene[2].answer_check(1)) # Question 4 self.assertFalse(liste_med_alle_instansene[3].answer_check(1)) self.assertFalse(liste_med_alle_instansene[3].answer_check(2)) self.assertFalse(liste_med_alle_instansene[3].answer_check(4)) self.assertTrue(liste_med_alle_instansene[3].answer_check(3)) # Question 5 self.assertFalse(liste_med_alle_instansene[4].answer_check(1)) self.assertFalse(liste_med_alle_instansene[4].answer_check(3)) self.assertFalse(liste_med_alle_instansene[4].answer_check(4)) self.assertTrue(liste_med_alle_instansene[4].answer_check(2)) # Question 6 self.assertFalse(liste_med_alle_instansene[5].answer_check(1)) self.assertFalse(liste_med_alle_instansene[5].answer_check(3)) self.assertFalse(liste_med_alle_instansene[5].answer_check(4)) self.assertFalse(liste_med_alle_instansene[5].answer_check(5)) self.assertTrue(liste_med_alle_instansene[5].answer_check(2)) # Question 7 self.assertFalse(liste_med_alle_instansene[6].answer_check(1)) self.assertFalse(liste_med_alle_instansene[6].answer_check(2)) self.assertFalse(liste_med_alle_instansene[6].answer_check(3)) self.assertFalse(liste_med_alle_instansene[6].answer_check(5)) self.assertTrue(liste_med_alle_instansene[6].answer_check(4)) # Question 8 self.assertFalse(liste_med_alle_instansene[7].answer_check(1)) self.assertTrue(liste_med_alle_instansene[7].answer_check(2)) def test_korrekt_svar_tekst(self): liste_med_alle_instansene = read_the_document() # Question 1 self.assertFalse(liste_med_alle_instansene[0].korrekt_svar_tekst()=='RAM') self.assertFalse(liste_med_alle_instansene[0].korrekt_svar_tekst()=='Harddisk') self.assertFalse(liste_med_alle_instansene[0].korrekt_svar_tekst()=='Sekundærlager') self.assertTrue(liste_med_alle_instansene[0].korrekt_svar_tekst()=='CPU') # Question 2 self.assertFalse(liste_med_alle_instansene[1].korrekt_svar_tekst()=='bit') self.assertFalse(liste_med_alle_instansene[1].korrekt_svar_tekst()=='bryter') self.assertFalse(liste_med_alle_instansene[1].korrekt_svar_tekst()=='transistor') self.assertTrue(liste_med_alle_instansene[1].korrekt_svar_tekst()=='byte') # Question 3 self.assertFalse(liste_med_alle_instansene[2].korrekt_svar_tekst()=='instruksjoner') self.assertFalse(liste_med_alle_instansene[2].korrekt_svar_tekst()=='variabler') self.assertFalse(liste_med_alle_instansene[2].korrekt_svar_tekst()=='CPU-er') self.assertTrue(liste_med_alle_instansene[2].korrekt_svar_tekst()=='bits') # Question 4 self.assertFalse(liste_med_alle_instansene[3].korrekt_svar_tekst()=='heksadesimal') self.assertFalse(liste_med_alle_instansene[3].korrekt_svar_tekst()=='oktal') self.assertFalse(liste_med_alle_instansene[3].korrekt_svar_tekst()=='desimal') self.assertTrue(liste_med_alle_instansene[3].korrekt_svar_tekst()=='binær') # Question 5 self.assertFalse(liste_med_alle_instansene[4].korrekt_svar_tekst()=='38') self.assertFalse(liste_med_alle_instansene[4].korrekt_svar_tekst()=='173') self.assertFalse(liste_med_alle_instansene[4].korrekt_svar_tekst()=='1011001') self.assertTrue(liste_med_alle_instansene[4].korrekt_svar_tekst()=='89') # Question 6 self.assertFalse(liste_med_alle_instansene[5].korrekt_svar_tekst()=='1011') self.assertFalse(liste_med_alle_instansene[5].korrekt_svar_tekst()=='11011') self.assertFalse(liste_med_alle_instansene[5].korrekt_svar_tekst()=='101111') self.assertFalse(liste_med_alle_instansene[5].korrekt_svar_tekst()=='111011') self.assertTrue(liste_med_alle_instansene[5].korrekt_svar_tekst()=='10111') # Question 7 self.assertFalse(liste_med_alle_instansene[6].korrekt_svar_tekst()=='assembly') self.assertFalse(liste_med_alle_instansene[6].korrekt_svar_tekst()=='c') self.assertFalse(liste_med_alle_instansene[6].korrekt_svar_tekst()=='java') self.assertFalse(liste_med_alle_instansene[6].korrekt_svar_tekst()=='python') self.assertTrue(liste_med_alle_instansene[6].korrekt_svar_tekst()=='maskinkode') # Question 8 self.assertFalse(liste_med_alle_instansene[7].korrekt_svar_tekst()=='kompilert') self.assertTrue(liste_med_alle_instansene[7].korrekt_svar_tekst()=='tolket') if __name__ == '__main__': unittest.main() # def read_the_document(): # question_list = list() # with open('sporsmaalsfil.txt', 'r', encoding='UTF8') as fila: # for linje in fila: # linje_liste = linje.replace(':', ',').strip('\n').split(',') # sporsmaal = linje_liste.pop(0) # rett_svar = int(linje_liste.pop(0)) # alternativer = [x.strip(' []') for x in linje_liste] # ny_instans = MultipleChoice(sporsmaal, rett_svar, alternativer) # question_list.append(ny_instans) # return question_list # class MultipleChoice: # #Constructor # def __init__(self, question, correct_answer, alternatives): # self.question = question # self.correct_answer = correct_answer # self.alternatives = alternatives # def answer_check(self, entered_integer): # if entered_integer == self.correct_answer+1: # return True # else: # return False # def korrekt_svar_tekst(self): # return self.alternatives[self.correct_answer] # def __str__(self): # return f'{self.question}\n' + '\n'.join(f'{indeks} - {element}' for indeks, element in enumerate(self.alternatives,1))+ '\n' # if __name__ == '__main__': # liste_med_alle_instansene = read_the_document() # sum_spiller1 = 0 # sum_spiller2 = 0 # for sporsmaal in liste_med_alle_instansene: # print(sporsmaal) # svar_spiller1 = int(input("Velg et svaralternativ for spiller 1: ")) # svar_spiller2 = int(input("Velg et svaralternativ for spiller 2: ")) # print(f'Korrekt svar: {sporsmaal.korrekt_svar_tekst()}') # if sporsmaal.answer_check(svar_spiller1): # sum_spiller1 += 1 # print('Spiller 1: Korrekt') # else: # print('Spiller 1: Feil') # if sporsmaal.answer_check(svar_spiller2): # sum_spiller2 += 1 # print('Spiller 2: Korrekt') # else: # print('Spiller 2: Feil') # print(f'Sum spiller 1: {sum_spiller1}') # print(f'Sum spiller 2: {sum_spiller2}')

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674905efb4cf96cee3c1a694e401c0bc8fa6243d

3,672

py

Python

plot_holographic_example.py

ftonolini45/VICI

7508328b474492edc7479bb41527cbbfd5f43a1d

[ "CC0-1.0" ]

null

plot_holographic_example.py

ftonolini45/VICI

7508328b474492edc7479bb41527cbbfd5f43a1d

[ "CC0-1.0" ]

null

plot_holographic_example.py

ftonolini45/VICI

7508328b474492edc7479bb41527cbbfd5f43a1d

[ "CC0-1.0" ]

null

import numpy as np import scipy.io as sio import matplotlib.pyplot as plt # Plot Forward Model Results n_plots = 3 # number of examples to plot samp_index = [0,1,2,3] # Load the test results for the multi-fidelity forward model results = sio.loadmat('results/holographic_forward_model_examples.mat') x_exp_test = results['target'] y_exp_lf_test = results['low_fidelity'] y_exp_hf_test = results['ground_truth'] samples = results['samples'] samples[samples<0.0]=0.0 mu = results['mean'] sig = results['standard_deviation'] cost_plot = results['cost'][0] plt.figure() plt.plot(cost_plot) plt.title('Multi-Fidelity Forward Model Cost') plt.figure() for i in range(n_plots): target_i = x_exp_test[i,:] target_i = np.reshape(target_i,(28,28)) lf_i = y_exp_lf_test[i,:] lf_i = np.reshape(lf_i,(28,28)) hf_i = y_exp_hf_test[i,:] hf_i = np.reshape(hf_i,(28,28)) mu_i = mu[i,:] mu_i = np.reshape(mu_i,(28,28)) sig_i = sig[i,:] sig_i = np.reshape(sig_i,(28,28)) samp_i = samples[i,:,:] samples_i = np.zeros((28*2,28*2)) for j in range(4): samp_ij = samp_i[:,samp_index[j]] samp_ij = np.reshape(samp_ij,(28,28)) if j<2: samples_i[j*28:(j+1)*28,0:28] = samp_ij else: samples_i[(j-2)*28:(j-1)*28,28:2*28] = samp_ij plt.subplot(n_plots,6,i*6+1) plt.imshow(target_i) plt.title('Target') plt.subplot(n_plots,6,i*6+2) plt.imshow(lf_i) plt.title('Low Fidelity Measurements') plt.subplot(n_plots,6,i*6+3) plt.imshow(hf_i) plt.title('High Fidelity Measurements') plt.subplot(n_plots,6,i*6+4) plt.imshow(mu_i) plt.title('Emulated Mean') plt.subplot(n_plots,6,i*6+5) plt.imshow(sig_i) plt.title('Emulated STD') plt.subplot(n_plots,6,i*6+6) plt.imshow(samples_i) plt.title('Emulated Samples') # Plot Inverse Model Results n_plots = 3 # number of examples to plot samp_index = [0,1,2,3] # Load the test results for the multi-fidelity forward model results = sio.loadmat('results/holographic_inverse_model_examples.mat') x_exp_test = results['target'] y_exp_hf_test = results['measurements'] samples = results['samples'] mu = results['mean'] sig = results['standard_deviation'] cost_plot = results['cost'][0] plt.figure() plt.plot(cost_plot) plt.title('Inverse Model Model Cost') plt.figure() for i in range(n_plots): target_i = x_exp_test[i,:] target_i = np.reshape(target_i,(28,28)) hf_i = y_exp_hf_test[i,:] hf_i = np.reshape(hf_i,(28,28)) mu_i = mu[i,:] mu_i = np.reshape(mu_i,(28,28)) sig_i = sig[i,:] sig_i = np.reshape(sig_i,(28,28)) samp_i = samples[i,:,:] samples_i = np.zeros((28*2,28*2)) for j in range(4): samp_ij = samp_i[:,samp_index[j]] samp_ij = np.reshape(samp_ij,(28,28)) if j<2: samples_i[j*28:(j+1)*28,0:28] = samp_ij else: samples_i[(j-2)*28:(j-1)*28,28:2*28] = samp_ij plt.subplot(n_plots,5,i*5+1) plt.imshow(target_i) plt.title('Target') plt.subplot(n_plots,5,i*5+2) plt.imshow(hf_i) plt.title('High Fidelity Measurements') plt.subplot(n_plots,5,i*5+3) plt.imshow(mu_i) plt.title('Reconstructed Mean') plt.subplot(n_plots,5,i*5+4) plt.imshow(sig_i) plt.title('Reconstructed STD') plt.subplot(n_plots,5,i*5+5) plt.imshow(samples_i) plt.title('Reconstructed Samples')

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6760ad5bc199398ac01024e2e42beaa778e34029

334

py

Python

tests/test_plugins.py

asmeurer/nikola

ea1c651bfed0fd6337f1d22cf8dd99899722912c

[ "MIT" ]

null

tests/test_plugins.py

asmeurer/nikola

ea1c651bfed0fd6337f1d22cf8dd99899722912c

[ "MIT" ]

null

tests/test_plugins.py

asmeurer/nikola

ea1c651bfed0fd6337f1d22cf8dd99899722912c

[ "MIT" ]

1

2021-07-07T11:32:42.000Z

""" Simple plugin tests. More advanced tests should be in a separate module. """ def test_command_version(): """Test `nikola version`.""" from nikola.plugins.command.version import CommandVersion CommandVersion().execute() def test_importing_plugin_task_galleries(): import nikola.plugins.task.galleries # NOQA

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678a299ea29d23227c6e615595693d7197b3f816

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py

Python

SoftLayer/CLI/cdn/__init__.py

dvzrv/softlayer-python

9a5f6c6981bcc370084537b4d1769383499ce90d

[ "MIT" ]

126

2015-01-05T05:09:22.000Z

2021-07-02T00:16:35.000Z

SoftLayer/CLI/cdn/__init__.py

dvzrv/softlayer-python

9a5f6c6981bcc370084537b4d1769383499ce90d

[ "MIT" ]

969

2015-01-05T15:55:31.000Z

2022-03-31T19:55:20.000Z

SoftLayer/CLI/cdn/__init__.py

dvzrv/softlayer-python

9a5f6c6981bcc370084537b4d1769383499ce90d

[ "MIT" ]

176

2015-01-22T11:23:40.000Z

2022-02-11T13:16:58.000Z

"""Content Delivery Network.""" # :license: MIT, see LICENSE for more details.

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67907226614f1b77ed7a73f3d2d69546ddddb58c

142

py

Python

tests/conftest.py

vault-the/rigor

02f5ddb18092a114dc0a23c8fb60975e2b906e85

[ "MIT" ]

null

tests/conftest.py

vault-the/rigor

02f5ddb18092a114dc0a23c8fb60975e2b906e85

[ "MIT" ]

null

tests/conftest.py

vault-the/rigor

02f5ddb18092a114dc0a23c8fb60975e2b906e85

[ "MIT" ]

null

import pytest import rigor @pytest.fixture(scope="module") def pytest_runtest_setup(item): rigor.setup_logging(quiet=False, json=False)

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67ae604d7b7cc40f5d5a19e5d3d721d826d891c7

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py

Python

Edabit/Return the Next Number from the Integer Passed/Sol.py

Pandz18/C-Programs

9d9b47516d3f65d348f9f72b9c0edda8246e9fab

[ "MIT" ]

null

Edabit/Return the Next Number from the Integer Passed/Sol.py

Pandz18/C-Programs

9d9b47516d3f65d348f9f72b9c0edda8246e9fab

[ "MIT" ]

null

Edabit/Return the Next Number from the Integer Passed/Sol.py

Pandz18/C-Programs

9d9b47516d3f65d348f9f72b9c0edda8246e9fab

[ "MIT" ]

null

def addition(num): b=num+1 return b

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67c0c873af503588d7f4a352e82ea3823ed8f714

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py

Python

data_collection/TestDataProcessing.py

rmarathay/hedgehogs_rcos

07129fbd215e4b6a68f0ce4f9a47101f56222aa9

[ "MIT" ]

9

2018-02-06T19:08:16.000Z

2022-03-15T13:31:57.000Z

data_collection/TestDataProcessing.py

rmarathay/hedgehogs_rcos

07129fbd215e4b6a68f0ce4f9a47101f56222aa9

[ "MIT" ]

37

2018-02-09T21:22:58.000Z

2021-12-13T19:51:24.000Z

data_collection/TestDataProcessing.py

rmarathay/hedgehogs_rcos

07129fbd215e4b6a68f0ce4f9a47101f56222aa9

[ "MIT" ]

10

2018-02-27T20:26:55.000Z

2021-02-06T02:26:30.000Z

import datetime from DataProcessing import StockData # ----------------------------------------------------------------------------------------------------------------- def Accessors_Test(): ticker1 = "TICKER1" ticker2 = "TICKER2" indicator1 = "close" indicator2 = "open" data1 = [100, 200, 300] dates1 = [datetime.datetime(2019,3,16,0,0),datetime.datetime(2019,3,17,0,0),datetime.datetime(2019,3,18,0,0)] data2 = [100, 200, 300, 400] dates2 = [datetime.datetime(2019,3,16,0,0),datetime.datetime(2019,3,17,0,0),datetime.datetime(2019,3,18,0,0)] sd1 = StockData(ticker1,indicator1,dates1,data1) sd2 = StockData(ticker2,indicator2,dates2,data2) assert(sd1.getTicker() == "TICKER1") # Test ticker1 assert(sd2.getTicker() == "TICKER2") # Test ticker2 assert(sd1.getIndicator() == "close") # Test indicator1 assert(sd2.getIndicator() == "open") # Test indicator2 assert(sd1.getMedian() == 200) # Test median1 assert(sd2.getMedian() == 250) # Test median2 assert(sd1.getMax() == 300) # Test max1 assert(sd2.getMax() == 400) # Test max2 range1 = sd1.getTimeRange() range2 = sd2.getTimeRange() assert(range1[0] == range2[0] and range1[1] == range2[1]) # ----------------------------------------------------------------------------------------------------------------- def SimpleMA_Test(): # Test 10 data points for simple moving average, WINDOW=10 & WINDOW=5 data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] dates = [datetime.datetime(2019,3,16,0,0),datetime.datetime(2019,3,17,0,0),datetime.datetime(2019,3,18,0,0), datetime.datetime(2019,3,19,0,0),datetime.datetime(2019,3,20,0,0),datetime.datetime(2019,3,21,0,0), datetime.datetime(2019,3,22,0,0),datetime.datetime(2019,3,23,0,0),datetime.datetime(2019,3,24,0,0), datetime.datetime(2019,3,25,0,0)] sd = StockData("APPL","open",dates,data) print("Data Set: ", data) print("WINDOW=5 Simple MA Data:", sd.simpleMA(5)) print("Data Set: ", data) print("WINDOW=10 Simple MA Data:", sd.simpleMA(10)) print("") # Test 1 data point for simple moving average, WINDOW=1 data = [5] dates = [datetime.datetime(2019,3,16,0,0)] sd = StockData("APPL","open",dates,data) print("Data Set: ", data) print("WINDOW=1 Simple MA Data: ", sd.simpleMA(1)) print("") # Test window out of range data = [5, 10, 15] dates = [datetime.datetime(2019,3,16,0,0),datetime.datetime(2019,3,17,0,0),datetime.datetime(2019,3,18,0,0)] sd = StockData("APPL","open",dates,data) print("Data Set: ", data) print("WINDOW=5 Simple MA Data: ", sd.simpleMA(5)) # ----------------------------------------------------------------------------------------------------------------- def ExponentialMA_Test(): # Test 10 data points for exp. moving average, WINDOW=10 & WINDOW=5 data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] dates = [datetime.datetime(2019,3,16,0,0),datetime.datetime(2019,3,17,0,0),datetime.datetime(2019,3,18,0,0), datetime.datetime(2019,3,19,0,0),datetime.datetime(2019,3,20,0,0),datetime.datetime(2019,3,21,0,0), datetime.datetime(2019,3,22,0,0),datetime.datetime(2019,3,23,0,0),datetime.datetime(2019,3,24,0,0), datetime.datetime(2019,3,25,0,0)] sd = StockData("MSFT","open",dates,data) print("Data Set: ", data) print("WINDOW=10 Exp Data Set:", sd.simpleMA(10)) print("WINDOW=5 Exp Data Set:", sd.simpleMA(5)) # Test 1 data point for exp. moving average, WINDOW=1 data = [5] dates = [datetime.datetime(2019,3,16,0,0)] sd = StockData("MSFT","open",dates,data) print("Data Set: ", data) print("WINDOW=1 Exp Data Set: ", sd.expMA(1)) # Test window out of range data = [5, 10, 15] dates = [datetime.datetime(2019,3,16,0,0),datetime.datetime(2019,3,17,0,0),datetime.datetime(2019,3,18,0,0)] sd = StockData("MSFT","open",dates,data) print("Data Set: ", data) try: print("WINDOW=5 ExpMA Data Set:", sd.expMA(5)) catch (ValueError e): print("Caught an exception for an invalid range. Should be |3|, was |5|") # ----------------------------------------------------------------------------------------------------------------- if __name__ == "__main__": print("Beginning a test for StockData accessor methods...") Accessors_Test() print("\tALL TESTS PASSED!\n") print("Beginning a test for Simple MA and Exponential MA...\n") print("=========================== SIMPLE MA TEST ==========================\n") SimpleMA_Test() print("\n=========================== EXP MA TEST ===========================\n") ExponentialMA_Test() print("\tALL TESTS PASSED!")

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4

67c9694e1c5c3a7aa02804bd04d9377839e361b8

363

py

Python

16.Functional Programming with Python - SW/03.Advanced Functional Concepts/basic_currying.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

3

2020-06-01T04:17:18.000Z

2020-12-18T03:05:55.000Z

16.Functional Programming with Python - SW/03.Advanced Functional Concepts/basic_currying.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

1

2020-04-25T08:01:59.000Z

16.Functional Programming with Python - SW/03.Advanced Functional Concepts/basic_currying.py

ptyadana/python-dojo

98c7234b84f0afea99a091c7198342d66bbdff5b

[ "MIT" ]

7

2020-04-26T10:02:36.000Z

2021-06-08T05:12:46.000Z

# similar to partial application, but only with one level deeper def curry_add(x): def curry_add_inner(y): def curry_add_inner_2(z): return x + y + z return curry_add_inner_2 return curry_add_inner add_5 = curry_add(5) add_5_and_6 = add_5(6) print(add_5_and_6(7)) # or we can even call like below print(curry_add(5)(6)(7))

21.352941

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null

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0

4

67e5034bcd6af04c69e191b2d637fda10835d3b5

335

py

Python

tests/constructors.py

codemee/micropython-ulab

882294dabfae41e8c27396325334ec7952271598

[ "MIT" ]

4

2020-02-12T12:08:56.000Z

2022-03-18T00:30:04.000Z

tests/constructors.py

codemee/micropython-ulab

882294dabfae41e8c27396325334ec7952271598

[ "MIT" ]

null

tests/constructors.py

codemee/micropython-ulab

882294dabfae41e8c27396325334ec7952271598

[ "MIT" ]

2

2022-01-11T11:47:22.000Z

2022-01-20T03:41:36.000Z

from ulab import linalg import ulab print(ulab.ones(3)) print(ulab.ones((2,3))) print(ulab.zeros(3)) print(ulab.zeros((2,3))) print(ulab.eye(3)) print(ulab.ones(1, dtype=ulab.int8)) print(ulab.ones(2, dtype=ulab.uint8)) print(ulab.ones(3, dtype=ulab.int16)) print(ulab.ones(4, dtype=ulab.uint16)) print(ulab.ones(5, dtype=ulab.float))

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1

0

4

67f92a2772cde248c692d61df4632481f30aeb2c

1,110

py

Python

wallet_lib/wallet_base.py

Bitcoin-com/wallet-lib

291d4986e5718adeb0e1001030841f0bf6c30943

[ "MIT" ]

1

2021-11-03T16:16:40.000Z

wallet_lib/wallet_base.py

Bitcoin-com/wallet-lib

291d4986e5718adeb0e1001030841f0bf6c30943

[ "MIT" ]

4

2019-12-11T00:19:08.000Z

2020-01-22T09:40:25.000Z

wallet_lib/wallet_base.py

Bitcoin-com/wallet-lib

291d4986e5718adeb0e1001030841f0bf6c30943

[ "MIT" ]

1

2021-11-03T16:16:31.000Z

import simplejson as json from simplejson.errors import JSONDecodeError from abc import ABCMeta, abstractmethod from .adapters import WalletAdapterBase from .wallet_exceptions import WalletException from .zmq_notifier import ZMQNotifier class WalletBase(metaclass=ABCMeta): def load_json(self, val: str, raw: bool): invalid_type = type(val) in [dict, list, float] if raw: return val elif invalid_type: return val else: try: return json.loads(val) except JSONDecodeError: return val @abstractmethod def __init__(self, *args): pass @abstractmethod def create_address(self, *args): pass @abstractmethod def get_balance(self, *args): pass @abstractmethod def get_transaction(self, *args): pass @abstractmethod def get_transactions(self, *args): pass @abstractmethod def send(self, *args): pass @abstractmethod def get_transactions_since(self, *args): pass @abstractmethod def run(self, *args): pass def get_zmq_notifier(self, **kwargs): return ZMQNotifier(**kwargs)

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1

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4

db01fb213a6eb66e7efa42d8ee39466529715e82

22

py

Python

axelrod/version.py

rjsu26/Axelrod

677f6da86d7ba56d3b2ec031de558c4f2a0675b0

[ "MIT" ]

null

axelrod/version.py

rjsu26/Axelrod

677f6da86d7ba56d3b2ec031de558c4f2a0675b0

[ "MIT" ]

null

axelrod/version.py

rjsu26/Axelrod

677f6da86d7ba56d3b2ec031de558c4f2a0675b0

[ "MIT" ]

null

__version__ = "4.6.0"

11

21

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null

0

1

0

1

0

null

0

4

db05f1454e6cc433f350a3445dde418510efd33a

501

py

Python

events/__init__.py

yemikudaisi/GIS-Lite

9a366fae77142b5c3887907bb2a3e7824897f17c

[ "MIT" ]

2

2021-03-26T06:34:49.000Z

2021-04-01T12:55:45.000Z

events/__init__.py

yemikudaisi/GIS-Lite

9a366fae77142b5c3887907bb2a3e7824897f17c

[ "MIT" ]

2

2019-04-27T16:21:25.000Z

2019-11-15T07:13:41.000Z

events/__init__.py

yemikudaisi/GIS-Lite

9a366fae77142b5c3887907bb2a3e7824897f17c

[ "MIT" ]

1

2020-08-17T15:01:58.000Z

import wx from mapmouseover import MapMouseOverEvent, EVT_MAP_MOUSE_DRAG from mapscalechanged import MapScaleChangedEvent, EVT_MAP_SCALE_CHANGED from maptoolactivated import MapToolActivatedEvent, EVT_MAP_TOOL_ACTIVATED from maptooldeactivated import MapToolDeactivatedEvent, EVT_MAP_TOOL_DEACTIVATED from maplayerschanged import MapLayersChangedEvent, EVT_MAP_LAYERS_CHANGED from mapstyleschanged import MapStylesChangedEvent, EVT_MAP_STYLE_CHANGED from mapready import MapReadyEvent, EVT_MAP_READY

50.1

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0.075848

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null

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1

0

1

0

1

0

4

db2f734c1bfdc95a626a54c1f6eff35f3f92d18e

475

py

Python

logger.py

ImGabe/Tamagochi

0478c4525ae7b535f491e4de50a0b12ecb30d0bc

[ "MIT" ]

11

2018-12-06T12:35:12.000Z

2019-06-22T12:54:06.000Z

logger.py

ImGabe/tamagochi

0478c4525ae7b535f491e4de50a0b12ecb30d0bc

[ "MIT" ]

15

2018-12-09T01:51:24.000Z

2018-12-23T16:47:33.000Z

logger.py

ImGabe/Tamagochi

0478c4525ae7b535f491e4de50a0b12ecb30d0bc

[ "MIT" ]

5

2018-12-09T23:45:26.000Z

2019-03-15T18:16:30.000Z

import logging logging.basicConfig(filename='tamagochi_logs.log', level=logging.DEBUG, format='%(asctime)s [%(levelname)s] %(message)s', datefmt='%m/%d/%Y %I:%M:%S') def log_info(x): return logging.info(x) def log_debug(x): return logging.debug(x) def log_error(x): return logging.error(x) def log_warning(x): return logging.warning(x) def log_critical(x): return logging.critical(x)

17.592593

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475

4.307692

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0.25

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0.252632

475

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0

null

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0

null

0

1

0

1

0

4

db3206e0630c4a5221866da435009e68ada96f48

560

py

Python

src/fpm_tablut_player/utils/network.py

contimatteo/PMF-Tablut-Player

9886583d2027beb2c0941c753f78bfb42ba8ae36

[ "MIT" ]

null

src/fpm_tablut_player/utils/network.py

contimatteo/PMF-Tablut-Player

9886583d2027beb2c0941c753f78bfb42ba8ae36

[ "MIT" ]

null

src/fpm_tablut_player/utils/network.py

contimatteo/PMF-Tablut-Player

9886583d2027beb2c0941c753f78bfb42ba8ae36

[ "MIT" ]

null

import struct ### class NetworkUtils: @staticmethod def is_value_sent(bytes_sent: int, expected_bytes_sent: int): return bytes_sent == expected_bytes_sent @staticmethod def integer_request(integer: int): return struct.pack('>i', integer) @staticmethod def string_request(string): return string.encode('utf-8') @staticmethod def integer_response(integer: int): return struct.unpack("!i", integer)[0] @staticmethod def string_response(string): return string.decode('utf-8')

20.740741

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560

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null

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null

0

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1

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4

e1d5805c51e0b83912c4864bc54df34539d64faf

60

py

Python

locale/pot/api/plotting/_autosummary/pyvista-themes-ParaViewTheme-outline_color-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/plotting/_autosummary/pyvista-themes-DefaultTheme-outline_color-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/plotting/_autosummary/pyvista-themes-ParaViewTheme-outline_color-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

import pyvista pyvista.global_theme.outline_color = 'white'

20

44

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60

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45

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1

0

1

0

4

e1df797c87e40099a1407df06ab155f1ca3d1c2f

2,336

py

Python

SAP Script - FB50.py

LeandroPOliveira/SAP-Scripting

8a0f50a1e14a9e1040300bbdefb671c917cc32e9

[ "MIT" ]

null

SAP Script - FB50.py

LeandroPOliveira/SAP-Scripting

8a0f50a1e14a9e1040300bbdefb671c917cc32e9

[ "MIT" ]

null

SAP Script - FB50.py

LeandroPOliveira/SAP-Scripting

8a0f50a1e14a9e1040300bbdefb671c917cc32e9

[ "MIT" ]

null

# Importar o pacote pandas para trabalhar com arquivos excel import pandas as pd # Abrir arquivo de script gerado pelo SAP arquivo = open('FB50.vbs', 'a') # modo 'a' de append, insere novos dados no arquivo sem excluir os que estavam # Abrir arquivo com os dados a serem lançados dados_cab = pd.read_excel('FB50.xlsx', nrows=4, usecols=[0, 1], header=None) arquivo.write(f''' session.findById("wnd[0]").maximize session.findById("wnd[0]/tbar[0]/okcd").text = "fb50" session.findById("wnd[0]").sendVKey 0 session.findById("wnd[0]/usr/tabsTABSTRIP_HEAD/tabpTAB1/ssubHEAD:SAPMF05A:1010/ctxtACGL_HEAD-BLDAT").text ="{dados_cab.iloc[0][1]}" session.findById("wnd[0]/usr/tabsTABSTRIP_HEAD/tabpTAB1/ssubHEAD:SAPMF05A:1010/ctxtACGL_HEAD-BUDAT").text ="{dados_cab.iloc[1][1]}" session.findById("wnd[0]/usr/tabsTABSTRIP_HEAD/tabpTAB1/ssubHEAD:SAPMF05A:1010/txtACGL_HEAD-XBLNR").text ="{dados_cab.iloc[2][1]}" session.findById("wnd[0]/usr/tabsTABSTRIP_HEAD/tabpTAB1/ssubHEAD:SAPMF05A:1010/txtACGL_HEAD-BKTXT").text ="{dados_cab.iloc[3][1]}"''') # Abrir arquivo com os dados a serem lançados dados = pd.read_excel('FB50.xlsx', skiprows=5) dados.fillna('', inplace=True) # print(dados) for index, row in dados.iterrows(): arquivo.write(f''' session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/ctxtACGL_ITEM-HKONT[1,{index}]").text = "{row['Cta.Razão']}" session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/cmbACGL_ITEM-SHKZG[3,{index}]").key = {'"S"' if row['D/C'] == 'D' else '"H"'} session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/txtACGL_ITEM-WRBTR[4,{index}]").text = "{row['Mont.em moeda doc.']}" session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/ctxtACGL_ITEM-SGTXT[11,{index}]").text = "{row['Texto']}" session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/ctxtACGL_ITEM-KOSTL[17,{index}]").text = "{row['Centro custo']}" session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/ctxtACGL_ITEM-AUFNR[18,{index}]").text = "{row['Ordem']}" session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/ctxtACGL_ITEM-PRCTR[27,{index}]").text = "{row['Centro lucro']}" session.findById("wnd[0]/usr/ssubITEMS:SAPLFSKB:0100/tblSAPLFSKBTABLE/ctxtACGL_ITEM-PROJK[29,{index}]").text = "{row['Elemen.PEP']}" ''') arquivo.close()

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null

0

1

0

1

null

0

4

e1ea904855fc06013587410d741049ec33ca9618

61

py

Python

tests/__init__.py

boweeb/wikiup

2694a8a9bc3914507803abc0540850e25ec64fd2

[ "ISC" ]

null

tests/__init__.py

boweeb/wikiup

2694a8a9bc3914507803abc0540850e25ec64fd2

[ "ISC" ]

null

tests/__init__.py

boweeb/wikiup

2694a8a9bc3914507803abc0540850e25ec64fd2

[ "ISC" ]

null

# -*- coding: utf-8 -*- """Unit test package for wikiup."""

15.25

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1

0

null

0

1

0

4

e1fa01d7ff0815944c8193d5b90fac0d025e0556

308

py

Python

utils/operations.py

hmeretti/grid-world

03a91dcb89f960ffca7918639365402c9a750814

[ "MIT" ]

1

2022-02-06T12:50:02.000Z

utils/operations.py

hmeretti/grid-world

03a91dcb89f960ffca7918639365402c9a750814

[ "MIT" ]

1

2022-02-01T12:41:03.000Z

utils/operations.py

hmeretti/grid-world

03a91dcb89f960ffca7918639365402c9a750814

[ "MIT" ]

null

import numpy as np def add_tuples(a: tuple[int, ...], b: tuple[int, ...]) -> tuple[int, ...]: return tuple(p + q for p, q in zip(a, b)) def float_dict_comparison(d0: dict[any, float], d1: dict[any, float]) -> bool: return np.all([np.isclose(d0[x], d1[x]) for x in d0]) and d0.keys() == d1.keys()

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0

1

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null

0

1

0

1

0

4

e1fb5f4836567ff682af78ed27c3946aadec55b6

5,592

py

Python

tests/test_query_generator.py

zedrem/coast_search

6216b3b0505f00eba39f1ec947ea1e4ba4bb55c6

[ "MIT" ]

null

tests/test_query_generator.py

zedrem/coast_search

6216b3b0505f00eba39f1ec947ea1e4ba4bb55c6

[ "MIT" ]

null

tests/test_query_generator.py

zedrem/coast_search

6216b3b0505f00eba39f1ec947ea1e4ba4bb55c6

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ test_citations ---------------------------------- Tests for `citations` module. """ import os import unittest from coast_search import query_generator class TestQueryGenerator(unittest.TestCase): def setUp(self): self.dimensions_dict = { "reasoning": ['because', 'however', 'conclude', 'but', 'for example'], "experience": ['i', 'me', 'our', 'we', 'in my experience'], "topic": ['trustworthy', 'software'] } self.one_dimension_queries = [ {'segment_id': 2, 'logic': 'topic', 'query': '("credibility" OR "assessment")'}, {'segment_id': 0, 'logic': 'random + !(topic)', 'query': '"annexs mug regions" -"credibility" -"assessment" '}, {'segment_id': 1, 'logic': 'seed + !(topic)', 'query': '"software" -"credibility" -"assessment" '} ] self.three_search_engines = [ { "name": "cse-1", "api_key": "aaa2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:aaa" }, { "name": "cse-2", "api_key": "bbb2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:bbb" }, { "name": "cse-3", "api_key": "cccfcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:ccc" }] def test_generate_result_list_one_dimension(self): one_dimension_data = { 'topic': { 'wordsList': ['credibility', 'assessment'], 'pos': '("credibility" OR "assessment")', 'neg': '-"credibility" -"assessment" ' } } actual_1_dimension = query_generator.generate_result_list(one_dimension_data, ["topic"], "software", "annexs mug regions") self.assertEqual(self.one_dimension_queries, actual_1_dimension) def test_add_api_config_1D_unique_keys(self): search_engines = self.three_search_engines expected = [ { 'segment_id': 2, 'logic': 'topic', 'query': '("credibility" OR "assessment")', "se_name": "cse-1", "api_key": "aaa2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:aaa" }, { 'segment_id': 0, 'logic': 'random + !(topic)', 'query': '"annexs mug regions" -"credibility" -"assessment" ', "se_name": "cse-2", "api_key": "bbb2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:bbb" }, { 'segment_id': 1, 'logic': 'seed + !(topic)', 'query': '"software" -"credibility" -"assessment" ', "se_name": "cse-3", "api_key": "cccfcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:ccc" } ] actual = query_generator.add_api_config_to_queries(self.one_dimension_queries, search_engines) self.assertEqual(expected, actual) def test_add_api_config_1D_one_key(self): search_engines = self.three_search_engines[0:1] expected = [ { 'segment_id': 2, 'logic': 'topic', 'query': '("credibility" OR "assessment")', "se_name": "cse-1", "api_key": "aaa2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:aaa" }, { 'segment_id': 0, 'logic': 'random + !(topic)', 'query': '"annexs mug regions" -"credibility" -"assessment" ', "se_name": "cse-1", "api_key": "aaa2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:aaa" }, { 'segment_id': 1, 'logic': 'seed + !(topic)', 'query': '"software" -"credibility" -"assessment" ', "se_name": "cse-1", "api_key": "aaa2fcb8f-9c52-44b9-8a71-6d7dcdbfdbd8", "search_engine_id": "82260244545522837893:aaa" } ] actual = query_generator.add_api_config_to_queries(self.one_dimension_queries, search_engines) self.assertEqual(expected, actual) def test_add_api_config_1D_incorrect_keys(self): search_engines = self.three_search_engines[0:2] self.assertRaises(Exception, query_generator.add_api_config_to_queries, self.one_dimension_queries, search_engines) def test_check_length(self): self.assertRaises(Exception, query_generator.check_length,"seed", "random", self.dimensions_dict, 5) self.assertRaises(Exception, query_generator.check_length, "seed", "random", self.dimensions_dict, 25) expect_pass = query_generator.check_length("seed", "random", self.dimensions_dict, 50) self.assertTrue(expect_pass) expect_pass_border = query_generator.check_length("seed", "random", self.dimensions_dict, 26) self.assertTrue(expect_pass_border)

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0.528612

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5,592

5.545276

0.216535

0.046148

0.038339

0.076677

0.753994

0.72382

0.716365

0.671282

0.616613

0

0.090812

0.332439

5,592

148

124

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0.663809

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0

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0.052632

false

0.035088

0.026316

0

0.087719

0

null

0

1

0

1

0

null

0

4

c008d051baf823c63ce751f3fb44cf8afd5d33bd

310

py

Python

bzt/engine/__init__.py

IamSaurabh1/taurus

928d44e30e6cd5b979e675bfdce4c1dbeb5d0eff

[ "Apache-2.0" ]

1

2019-12-05T14:57:58.000Z

bzt/engine/__init__.py

IamSaurabh1/taurus

928d44e30e6cd5b979e675bfdce4c1dbeb5d0eff

[ "Apache-2.0" ]

null

bzt/engine/__init__.py

IamSaurabh1/taurus

928d44e30e6cd5b979e675bfdce4c1dbeb5d0eff

[ "Apache-2.0" ]

null

from .names import EXEC, TAURUS_ARTIFACTS_DIR, SETTINGS from .engine import Engine from .dicts import Scenario, Configuration from .templates import FileLister, HavingInstallableTools, Singletone, SelfDiagnosable from .modules import Provisioning, Reporter, Service, Aggregator, EngineModule, ScenarioExecutor

51.666667

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310

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null

0

1

0

1

0

1

0

4

c0393b9aa0efe5e0ae6c0a7a0e71e718ff387015

134

py

Python

profiler/profiler/utils/inference_url_parser.py

Hydrospheredata/hydro-profiler

bca177f8d71d9d8c93091f9a9fdf9a337582e194

[ "Apache-2.0" ]

null

profiler/profiler/utils/inference_url_parser.py

Hydrospheredata/hydro-profiler

bca177f8d71d9d8c93091f9a9fdf9a337582e194

[ "Apache-2.0" ]

14

2021-11-22T18:07:28.000Z

2022-01-14T08:51:45.000Z

profiler/profiler/utils/inference_url_parser.py

rufusnufus/hydro-profiler

a729ffa2575bb8bfe9a080c2562fd592ed37521d

[ "Apache-2.0" ]

1

2021-11-19T11:16:50.000Z

from urllib.parse import urlparse def extract_file_name(url: str): parsed = urlparse(url) return parsed.path.split("/")[-1]

19.142857

37

0.701493

19

134

4.842105

0.842105

0

0.008929

0.164179

134

6

38

22.333333

0.8125

0

0.007463

0

1

0.25

false

0

0.25

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0.75

0

1

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null

0

1

0

null

0

1

0

1

0

4

c055cae955a199d416db77300f1d5f0e76cebf6e

7,092

py

Python

Teste.py

NunoMarquesRM/Logica-AlgHorn

51b00596dcc09c7541f15ff0059422d19ae50144

[ "MIT" ]

null

Teste.py

NunoMarquesRM/Logica-AlgHorn

51b00596dcc09c7541f15ff0059422d19ae50144

[ "MIT" ]

null

Teste.py

NunoMarquesRM/Logica-AlgHorn

51b00596dcc09c7541f15ff0059422d19ae50144

[ "MIT" ]

null

from abc import abstractproperty s = '(~p | R ) & (~x) & (p) & (~p | x | ~R | x)' s = "(~q | ~S | ~Q | ~p | ~p | ~q | ~y | ~X | ~p | ~L | ~V | ~Y | ~U | ~q | ~u | ~R | ~R | ~P | ~V | ~O | ~m | ~w | ~J | ~u | ~S | ~d | ~s | ~w | ~f | ~p | ~X | ~i | ~C) & (s) & (~B | ~O | ~X | ~r | ~T | ~f | ~A | ~t | ~u | ~e | ~C | ~F | ~d | ~r | S | ~G | ~H | ~U | ~H | ~l | ~H | ~R) & (~O | ~p | ~n | ~W | ~t | ~g | ~S | ~E | ~V | ~X | ~l | ~U | ~r | ~r | ~r | T | ~N | ~V | ~C | ~O | ~r) & (~q | ~Z | J | ~J | ~l) & (~s | ~i | h | ~t | ~w | ~U | ~w | ~E | ~P | ~t | ~X | ~N) & (~w | ~c | ~x | ~D | ~y | ~o | ~b | ~t | ~N | ~a | ~W | ~F | ~h | ~R | ~g | ~K | ~k | ~I | ~w | ~c | ~k | ~J | ~d | ~Z | ~W | ~L | ~g | ~N | ~Q | ~I | ~d | ~K | ~B | ~g | ~r | t | ~c | ~B | ~t | ~A | ~c) & (~b | l | ~K | ~v | ~s | ~v | ~X | ~P | ~S | ~W | ~h | ~A | ~O | ~W | ~a | ~G | ~Y | ~S | ~g | ~t | ~o | ~q | ~f | ~U | ~d | ~K | ~n | ~e | ~o | ~A | ~z | ~n | ~C | ~H | ~T | ~Q | ~T) & (~Q | ~F | ~g | ~e | ~N | ~h | ~l | ~U | ~V | ~E | ~b | ~r | ~B | ~a | ~J | ~Y | ~Y) & (~X | ~U | ~f | ~w | ~d | ~a | ~b | ~c | ~o | ~T | ~t | ~F | ~x | ~h | ~O | ~W | ~K | ~O | ~V | ~T | ~J | ~r | ~C | ~E | ~j | ~Y | ~y | ~x | ~Y | ~H | ~u | ~q | ~v | ~p | ~n | ~f | ~I | ~O) & (~l | ~L | ~q | ~T | ~z | ~k | ~Z | ~O | ~P | ~G | ~Y | ~g | ~i | ~Y | ~w | ~x | ~V | ~Z | ~i | ~s | ~O | ~Q | ~q | ~K | ~g | ~g | ~T | ~h | ~H | ~X | ~w | ~D | ~N | ~M | ~y | ~n | ~t) & (~f) & (~j | ~G | ~t | ~C | ~W | ~m | ~W | ~l | ~N | T | ~y | ~v | ~y | ~U | ~H | ~o | ~I | ~X | ~k | ~b | ~O | ~C | ~j) & (~A | ~A | ~s | ~O | ~Y | ~Q | ~S | ~B | ~Y | ~k | ~D | ~N | ~o | ~T | ~i | ~k | ~m | ~X | ~P | ~I | ~G | ~C | ~s | ~J | ~X | ~U | ~F | ~h | ~t | ~X | ~s | ~F | ~S | ~q | ~x | ~E | ~I | ~V | ~Q | ~L | ~p | ~J | ~Q | ~e | ~m | z | ~B | ~w | ~N | ~C) & (~H | ~h | ~g | ~h | ~E | ~u | ~B | ~g | ~v | ~u | ~Y | ~D | ~D | ~a | ~d | ~T | ~f | ~v | ~y | ~K | ~R | ~V | ~U | ~j | ~t | ~D | ~h) & (~m | ~Z | ~G | ~B | ~x | ~c | ~k | ~P | ~j | ~F | ~x | ~j | ~a | ~I) & (~b | ~w | ~y | ~x | ~d | ~S | ~W | ~S | ~F | ~U | ~K | ~H | ~K | ~Q | ~S | ~U | ~i | ~z | ~P | ~J | ~l | ~B | ~K | ~i | ~o | ~i | ~T | ~m | ~h | ~G | ~v | ~B | ~t | ~a | ~X | ~B | ~o | ~Q | ~Y | ~s | ~g | ~L | ~C | ~R | ~N | ~H | ~v | ~H | ~y | ~N | ~H | ~x) & (~d | ~a | ~G | ~x | ~a | ~O | ~e | ~l | ~g | a) & (~e | ~f | ~i | ~L | ~E | ~p | ~d | ~V | ~U | ~o | ~Z | ~W | ~P | ~p | ~h | ~f | ~j | ~i | ~S | ~K | ~E | ~B | ~b | ~k | ~H | ~c | ~l | ~y | ~r | ~F | ~l | ~K | ~T | ~S | ~r | ~L | ~Q | ~n | ~M | ~q | ~R | ~z | ~N | ~X | ~M | ~C | ~G | ~w) & (~d | ~h) & (~R | ~b | ~H | ~N | ~B | ~e | ~f | ~d | ~o | ~f | ~M | ~A | ~Y | ~q | ~O | ~K | ~s | ~X | ~X | ~z | ~y | ~i | ~y | ~d | ~Q | ~Y | ~t | ~M | ~z | ~P | ~x | ~F) & (~O | ~N | ~x | ~w | ~u | ~r | ~M | ~o | ~c | ~x | ~j | ~D | ~e | ~O | ~I | ~j | ~I | ~A | ~X | ~c | ~W | ~E | ~C | ~e | ~l | ~o | ~O | ~b | ~N | ~p | ~p | ~I | ~D | ~h | ~j | ~C | ~N | ~N | ~d | ~v | ~O | ~R | ~X | ~C | ~T | ~h | ~c) & (~D | ~S | ~V | ~g | ~z | ~u | ~M | ~Y | ~A | ~w | ~i | ~N | ~w | ~E | ~H | ~X | ~N | ~t | ~B | ~E | ~L | ~G | ~L | ~z | ~g | ~L | ~Z | ~M | ~h | ~Q | ~y | ~q | ~h | ~f | ~l | ~i | ~p | ~M | ~o | ~e | ~b | ~S | ~D | ~a | ~C | ~K | ~U | ~z | ~X | ~Z | ~n) & (~D | ~W | ~j | ~Y | ~K | ~W | ~i | ~b | ~r | ~o | ~L | ~K | ~j | ~F | ~k | ~Z | ~x | ~p | ~d | ~V | ~k | ~D | ~h | ~a | ~t | ~p | ~R | ~N | ~a | ~C | ~f | ~C) & (~u | ~r | ~j | ~s | ~S | ~S | ~b | ~b | ~f | ~i | ~e | ~Y | ~q | ~Q | ~T | ~N | ~P | ~n | ~h | ~t | ~C | ~a | ~F | ~b | ~O | ~M) & (~H | ~q | ~y | ~M | ~q | ~G | n | ~o | ~V | ~O | ~h | ~n | ~I | ~L | ~y | ~K | ~c | ~T | ~Y) & (~s | ~F) & (~P | ~d | ~i | ~M | ~k | ~A | ~T | ~d | ~K | ~a | ~t | ~X | ~d | ~x | ~N | Y | ~U | ~T | ~t | ~h | ~v | ~b | ~f | ~h | ~F | ~E | ~f | ~j | ~a | ~V | ~d | ~b | ~q | ~e | ~x | ~Y | ~l | ~E | ~i | ~t | ~O | ~U | ~r | ~Y | ~V | ~n | ~X) & (~p | ~h | ~P | ~a | ~r | ~l | ~J | ~g | ~B | ~l | ~e | ~Z | O | ~W | ~m | ~j | ~D | ~X | ~C | ~R | ~w | ~a | ~n | ~I) & (~J | ~r | ~M | ~D | ~N | ~X | ~F | ~u | ~Q | ~l | ~r | ~O | ~e | ~P | ~D | ~t | ~j | ~W | ~Y | ~z | ~A | ~s | ~e | ~l | ~r | ~w | ~E | ~G | ~i | ~L | ~h | ~y | ~y | ~R | ~D | ~b | ~c | ~v | ~P | ~Y | ~C | ~h | ~V) & (~n | ~b | ~u | ~M | ~P | ~n | ~I | ~g | ~j | ~w | ~Y | ~t | ~Y | ~Q | ~y | ~y) & (~e | ~S | ~N | ~Q | ~d | ~h | ~c | ~D | ~x | ~n | ~X | ~Q | ~o | ~p | ~N | ~a | ~g | ~Q | ~E | ~l | ~n | ~f | ~u | ~H | ~M | ~z | ~S | ~w | ~i | ~M | ~Y | ~X | ~Z | ~J | ~y | ~e | ~C | ~y | ~d | ~R) & (~u | ~i | ~y | ~x | ~m | ~S | e) & (~F | ~C | ~f | ~X | ~U | ~c | ~E | ~L | ~D | ~q | ~I | ~P | ~T | ~h | ~M | ~M | ~z | ~A | ~X | ~u | ~T | ~c | ~R | ~X | ~U | ~L | ~G | ~B | ~c | ~V | ~o | ~Q | ~u | ~l | ~t | ~w | ~C | ~z | ~S | ~j | ~D | ~y | ~f | ~z | ~z | ~B | ~k | ~s)" s = '(~p | a ) & (p) & (~p | ~R | x) & (~W | P | ~h) & (F) & (~f | ~q | e) & (~t | ~k | ~l)' s = '(~p | Q | ~r) & (~t) & (P) & (~T | x | Z) & (F)' i, target = 0, len( s ) formulas, temp, flag = [], [], False def put_vagina( subform ) : flag = False for y, _ in subform : if y : flag = True if not flag : return subform + [(True, 'ç')] return subform while i != target : key = s[ i ] if key == '(' : flag = True elif key == ' ' : pass elif key == '|' : pass elif key == '&' : pass elif key == '~' : temp.append(( False, s[ i + 1 ] )) i += 1 elif key == ')' : formulas.append( put_vagina( temp ) ) temp = [] flag == False else : temp.append(( True, s[ i ])) i += 1 #for f in formulas : print( f ) def is_formula( x ) : def more_than_one( x ) : c = [] for y1, y2 in x : if y1 : if y2 not in c : c.append( y2 ) if len( c ) < 2 : return True return False for xx in x : if not more_than_one( xx ) : return False return True def horn( x ) : verified = [] new = [] # PARTE INICIAL for x in x : if len( x ) == 1 and x[ 0 ][ 0 ] : verified.append( x[ 0 ][ 1 ] ) else : new.append( x ) line = len( new ) def verified2( subformula, verified ) : aux = '' for y1, y2 in subformula : if y1 : aux = y2 else : if not y2 in verified : return False, '-1' return True, aux while True : print( new ) new_new = [] for n in new : flag, novel = verified2( n, verified ) if flag : verified.append( novel ) else : new_new.append( n ) if 'ç' in verified : return False # TAMOS AQUI CRL if line == len( new_new ) : return True else : line = len( new_new ) new = new_new if not len( new ) : return True if not is_formula( formulas ) : print( 'NA' ) else : if horn( formulas ) : print( 'SAT' ) else : print( 'UNSAT' )

59.1

4,682

0.271151

1,226

7,092

1.557096

0.066884

0.025144

0.018858

0.023573

0.020953

0

0.005529

0.413424

7,092

120

4,683

59.1

0.453365

0.008319

0

0.197674

0

0.046512

0.692789

0

1

0.05814

false

0.034884

0.011628

0

0.186047

0.046512

0

1

null

0

1

0

1

0

1

0

null

0

4

c05c2ed3f73c6d91e67567062b596f9684fbe057

228

py

Python

pokemon_image_dataset/data_sources/__init__.py

jneuendorf/pokemon-image-dataset

120b5beb4f058ee7c8fa86cc7e5b8030b75a03f1

[ "MIT" ]

null

pokemon_image_dataset/data_sources/__init__.py

jneuendorf/pokemon-image-dataset

120b5beb4f058ee7c8fa86cc7e5b8030b75a03f1

[ "MIT" ]

null

pokemon_image_dataset/data_sources/__init__.py

jneuendorf/pokemon-image-dataset

120b5beb4f058ee7c8fa86cc7e5b8030b75a03f1

[ "MIT" ]

null

from .archive import ArchiveDataSource, RemoteArchiveDataSource from .base import DataSource from .sprite_set import SpriteSetConfig, SpriteSetDataSource from .path_dict import PathDict from .battlers import BattlersDataSource

32.571429

63

0.868421

24

228

8.166667

0.666667

0

0.100877

228

6

64

38

0.956098

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fbe51356ffacd7b71b1c2e88e52d5526bc5b2ffd

224

py

Python

hitcount/urls.py

Ione03/django-hitcount

6212b44f3830c29bcef809543f9eaeb88fcb037d

[ "MIT" ]

null

hitcount/urls.py

Ione03/django-hitcount

6212b44f3830c29bcef809543f9eaeb88fcb037d

[ "MIT" ]

null

hitcount/urls.py

Ione03/django-hitcount

6212b44f3830c29bcef809543f9eaeb88fcb037d

[ "MIT" ]

null

from __future__ import unicode_literals from django.conf.urls import url from hitcount.views import HitCountJSONView app_name = 'hitcount' urlpatterns = [url('^hit/ajax/$', HitCountJSONView.as_view(), name='hit_ajax')]

37.333333

80

0.776786

29

224

5.724138

0.655172

0.084337

0

0.111607

224

5

81

44.8

0.834171

0

0.123288

0

1

0

false

0

0.6

0

0.6

0

1

0

null

0

1

0

null

0

1

0

1

0

4

fbf195859d145c9edc62ce791dbd3d712c1e02d1

81

py

Python

kivy3/loaders/__init__.py

poikilos/kivy3

e3364b39ec61a69aa31bf88e77fadaa148359ec6

[ "MIT" ]

13

2020-04-27T10:58:35.000Z

2021-09-22T20:39:16.000Z

kivy3/loaders/__init__.py

poikilos/kivy3

e3364b39ec61a69aa31bf88e77fadaa148359ec6

[ "MIT" ]

8

2020-04-27T11:12:38.000Z

2022-03-13T16:31:28.000Z

kivy3/loaders/__init__.py

poikilos/kivy3

e3364b39ec61a69aa31bf88e77fadaa148359ec6

[ "MIT" ]

6

2020-05-14T17:00:44.000Z

2022-03-13T16:29:19.000Z

from .objloader import OBJLoader, OBJMTLLoader from .stlloader import STLLoader

20.25

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0

0.123457

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0

1

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null

0

1

0

1

0

4

2201f288b845e1976ecea9ca5e7e9639183116bb

635

py

Python

Helper/Base/Chess.py

jingege315/gobang

983a0ce34dc2120464f42441ef6b190ef2433f08

[ "MIT" ]

4

2019-04-20T07:04:02.000Z

2020-06-23T14:12:15.000Z

Helper/Base/Chess.py

jingege315/gobang_alphazero

983a0ce34dc2120464f42441ef6b190ef2433f08

[ "MIT" ]

null

Helper/Base/Chess.py

jingege315/gobang_alphazero

983a0ce34dc2120464f42441ef6b190ef2433f08

[ "MIT" ]

null

from enum import Enum class Chess(Enum): """ the chess's enum """ BLACK = 1 WHITE = 2 NONE = 3 def is_black(self) -> bool: return self == self.BLACK def is_white(self) -> bool: return self == self.WHITE def is_none(self) -> bool: return self == self.NONE def exchange(self): return self.BLACK if self.is_white() else self.WHITE def is_chess_color(self) -> bool: return self.is_black() or self.is_white() def is_chess(self) -> bool: return self.is_chess_color() or self.is_none() def __str__(self) -> str: if self.is_black(): return '1' elif self.is_white(): return '2' else: return ' '

17.162162

54

0.653543

103

635

3.854369

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0.105793

0.176322

0.2267

0.267003

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0.00996

0.209449

635

36

55

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false

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null

0

1

0

null

0

1

0

1

0

4

2205eb2f75d5a1fb0ec2337d8dd63ce09412e990

864

py

Python

lib/systems/d-cysteine.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/d-cysteine.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

lib/systems/d-cysteine.py

pulsar-chem/BPModule

f8e64e04fdb01947708f098e833600c459c2ff0e

[ "BSD-3-Clause" ]

null

import pulsar as psr def load_ref_system(): """ Returns d-cysteine as found in the IQMol fragment library. All credit to https://github.com/nutjunkie/IQmol """ return psr.make_system(""" C -0.2529 -0.1635 -0.4344 C 0.1089 -1.5934 -0.0355 O 0.9646 -2.3176 -0.5120 O -0.6270 -2.1189 0.9673 C 0.3653 0.8052 0.5791 S -0.3580 2.4713 0.5904 N 0.1922 0.1748 -1.8067 H -1.3683 -0.0544 -0.4148 H -0.3367 -3.0058 1.1586 H 1.4633 0.8563 0.4496 H 0.1967 0.4284 1.6080 H -0.1184 2.8528 -0.6389 H -0.2910 -0.3946 -2.4679 H 1.1768 0.0345 -1.8996 """)

39.272727

66

0.423611

128

864

2.835938

0.601563

0.022039

0

0.460526

0.472222

864

21

67

41.142857

0.335526

0.123843

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0.055556

true

0

0.055556

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null

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1

0

null

0

1

0

4

220ac7d76f7e04b60c04a1fcd6500a774749fbeb

196

py

Python

sberbank/apps.py

Zagrebelin/django-sberbank

29a30ae72d9d243c69677323eed048e0931e8ccd

[ "BSD-2-Clause" ]

1

2021-07-22T11:00:31.000Z

sberbank/apps.py

Zagrebelin/django-sberbank

29a30ae72d9d243c69677323eed048e0931e8ccd

[ "BSD-2-Clause" ]

null

sberbank/apps.py

Zagrebelin/django-sberbank

29a30ae72d9d243c69677323eed048e0931e8ccd

[ "BSD-2-Clause" ]

null

from django.apps import AppConfig as BaseAppConfig from django.utils.translation import ugettext_lazy as _ class AppConfig(BaseAppConfig): name = 'sberbank' verbose_name = _('sberbank')

24.5

55

0.77551

23

196

6.434783

0.652174

0.135135

0

0.153061

196

7

56

28

0.891566

0

0.081633

0

1

0

false

0

0.4

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

222885319f49c9f429cf1dab45fefb15c2a8f61a

135

py

Python

testsuite/N806_py35.py

danielpatrickdotdev/pep8-naming

884f3c40880fcc4c4e3f83e0006f7ec4113213fe

[ "MIT" ]

335

2015-12-18T00:05:05.000Z

2022-03-30T09:40:56.000Z

testsuite/N806_py35.py

DalavanCloud/pep8-naming

6fc2dc694c729403360f10e2545c6602b9a53727

[ "MIT" ]

118

2015-12-17T03:42:54.000Z

2022-02-05T15:25:48.000Z

testsuite/N806_py35.py

DalavanCloud/pep8-naming

6fc2dc694c729403360f10e2545c6602b9a53727

[ "MIT" ]

64

2015-12-28T11:46:52.000Z

2022-03-23T09:45:42.000Z

# python_version >= '3.5' #: Okay async def test(): good = 1 #: N806 async def f(): async with expr as ASYNC_VAR: pass

15

33

0.577778

21

135

3.619048

0.809524

0.210526

0

0.0625

0.288889

135

8

34

16.875

0.729167

0.259259

0

1

0

false

0.2

0

1

0

null

1

0

1

0

null

0

1

0

4

2246b3f98f4136835b8bf402e5bea97ba9c69563

109

py

Python

hostsmgr/exceptions.py

starofrainnight/hostsmgr

ac62fea4ce4542a4755cbb5818a1153c3be999fe

[ "Apache-2.0" ]

null

hostsmgr/exceptions.py

starofrainnight/hostsmgr

ac62fea4ce4542a4755cbb5818a1153c3be999fe

[ "Apache-2.0" ]

null

hostsmgr/exceptions.py

starofrainnight/hostsmgr

ac62fea4ce4542a4755cbb5818a1153c3be999fe

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- class HostsNotFound(OSError): pass class InvalidFormat(ValueError): pass

10.9

32

0.651376

11

109

6.454545

0.818182

0

0.011628

0.211009

109

9

33

12.111111

0.813953

0.192661

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

226569b7a9cfa76260cc6b28ca1f5e17e5df5341

20,923

py

Python

src/teachpyx/faq/faq_python.py

sdpython/teachpyx

93bd7164cfcf285866ac268a6e1e719a16d96ebf

[ "MIT" ]

3

2018-04-13T15:06:52.000Z

2019-05-26T09:11:18.000Z

src/teachpyx/faq/faq_python.py

sdpython/teachpyx

93bd7164cfcf285866ac268a6e1e719a16d96ebf

[ "MIT" ]

17

2016-09-25T12:35:50.000Z

2021-11-20T21:44:16.000Z

src/teachpyx/faq/faq_python.py

sdpython/teachpyx

93bd7164cfcf285866ac268a6e1e719a16d96ebf

[ "MIT" ]

1

2019-07-29T12:11:33.000Z

# -*- coding: utf-8 -*- """ @file @brief Quelques questions d'ordre général autour du langage Python. """ import os import io import re def entier_grande_taille(): """ .. faqref:: :tag: python :title: Quel est l'entier le plus grand ? La version 3 du langage Python a supprimé la constante ``sys.maxint`` qui définissait l'entier le plus grand (voir `What's New In Python 3.0 <https://docs.python.org/3.1/whatsnew/3.0.html#integers>`_). De ce fait la fonction `getrandbit <https://docs.python.org/3/library/random.html#random.getrandbits>`_ retourne un entier aussi grand que l'on veut. :: import random,sys x = random.getrandbits(2048) print(type(x),x) Qui affiche :: <class 'int'> 2882159224557107513165483098383814837021447484558010147211921304219017212673656549681269862792029... Les calculs en nombre réels se font toujours avec huit octets de précision. Au delà, il faut utiliser la librairie `gmpy2 <http://gmpy2.readthedocs.org/en/latest/>`_. Il est également recommandé d'utiliser cette librairie pour les grands nombres entiers (entre 20 et 40 chiffres). La librairie est plus rapide que l'implémentation du langage Python (voir `Overview of gmpy2 <https://gmpy2.readthedocs.org/en/latest/overview.html>`_). .. faqref:: :tag: python :title: Tabulations ou espace ? Il est préférable de ne pas utiliser les tabulations et de les remplacer par des espaces. Lorsqu'on passe d'un Editeur à un autre, les espaces ne bougent pas. Les tabulations sont plus ou moins grandes visuellement. L'essentiel est de ne pas mélanger. Dans `SciTE <http://www.scintilla.org/SciTE.html>`_, il faut aller dans le menu Options / Change Indentation Settings... Tous les éditeurs ont une option similaire. """ pass def difference_div(): """ .. faqref:: :tag: python :title: Quelle est la différence entre / et // - division ? Le résultat de la division avec l'opérateur ``/`` est toujours réel : la division de deux entiers ``1/2`` donne ``0.5``. Le résultat de la division avec l'opérateur ``//`` est toujours entier. Il correspond au quotient de la division. .. runpython:: :showcode: div1 = 1/2 div2 = 4/2 div3 = 1//2 div4 = 1.0//2.0 print(div1, div2, div3, div4) # affiche (0.5, 2.0, 0, 0) Le reste d'une division entière est obtenue avec l'opérateur ``%``. .. runpython:: :showcode: print( 5 % 2 ) # affiche 1 C'est uniquement vrai pour les version Python 3.x. Pour les versions 2.x, les opérateurs ``/`` et ``//`` avaient des comportements différents (voir `What’s New In Python 3.0 <https://docs.python.org/3/whatsnew/3.0.html#integers>`_). """ div1 = 1 / 2 div2 = 4 / 2 div3 = 1 // 2 div4 = 1.0 // 2.0 return div1, div2, div3, div4 def python_path(): """ .. faqref:: :tag: module :title: Comment éviter sys.path.append... quand on développe un module ? Lorsqu'on développe un module, on ne veut pas l'installer. On ne veut pas qu'il soit présent dans le répertoire ``site-packages`` de la distribution de Python car cela introduit deux versions : celle qu'on développe et celle qu'on a installer. Avant, je faisais cela pour créer un petit programme utilisant mon propre module (et on en trouve quelque trace dans mon code) : :: import sys sys.path.append("c:/moncode/monmodule/src") import monmodule Quand je récupère un programme utilisant ce module, il me faudrait ajouter ces petites lignes à chaque fois et c'est barbant. Pour éviter cela, il est possible de dire à l'interpréteur Python d'aller chercher ailleurs pour trouver des modules en ajoutant le chemin à la `variable d'environnement <http://fr.wikipedia.org/wiki/Variable_d'environnement>`_ `PYTHONPATH <https://docs.python.org/3/using/cmdline.html#envvar-PYTHONPATH>`_. Sous Windows : :: set PYTHON_PATH=%PYTHON_PATH%;c:\\moncode\\monmodule\\src """ return os.environ.get("PYTHON_PATH", "") def same_variable(a, b): """ Cette fonction dit si les deux objets sont en fait le même objet (True) ou non (False) s'ils sont différents (même s'ils contiennent la même information). @param a n'importe quel objet @param b n'importe quel objet @return ``True`` ou ``False`` .. faqref:: :tag: python :title: Qu'est-ce qu'un type immuable ou immutable ? :lid: faq-py-immutable Une variable de type *immuable* ne peut être modifiée. Cela concerne principalement : - ``int``, ``float``, ``str``, ``tuple`` Si une variable est de type *immuable*, lorsqu'on effectue une opération, on créé implicitement une copie de l'objet. Les dictionnaires et les listes sont *modifiables* (ou *mutable*). Pour une variable de ce type, lorsqu'on écrit ``a = b``, ``a`` et ``b`` désigne le même objet même si ce sont deux noms différentes. C'est le même emplacement mémoire accessible paur deux moyens (deux identifiants). Par exemple :: a = (2,3) b = a a += (4,5) print( a == b ) # --> False print(a,b) # --> (2, 3, 4, 5) (2, 3) a = [2,3] b = a a += [4,5] print( a == b ) # --> True print(a,b) # --> [2, 3, 4, 5] [2, 3, 4, 5] Dans le premier cas, le type (``tuple``) est _immutable_, l'opérateur ``+=`` cache implicitement une copie. Dans le second cas, le type (``list``) est _mutable_, l'opérateur ``+=`` évite la copie car la variable peut être modifiée. Même si ``b=a`` est exécutée avant l'instruction suivante, elle n'a **pas** pour effet de conserver l'état de ``a`` avant l'ajout d'élément. Un autre exemple :: a = [1, 2] b = a a [0] = -1 print(a) # --> [-1, 2] print(b) # --> [-1, 2] Pour copier une liste, il faut expliciter la demander :: a = [1, 2] b = list(a) a [0] = -1 print(a) # --> [-1, 2] print(b) # --> [1, 2] La page `Immutable Sequence Types <https://docs.python.org/3/library/stdtypes.html?highlight=immutable#immutable-sequence-types>`_ détaille un peu plus le type qui sont *mutable* et ceux qui sont *immutable*. Parmi les types standards : * **mutable** * `bool <https://docs.python.org/3/library/functions.html#bool>`_ * `int <https://docs.python.org/3/library/functions.html#int>`_, `float <https://docs.python.org/3/library/functions.html#float>`_, `complex <https://docs.python.org/3/library/functions.html#complex>`_ * `str <https://docs.python.org/3/library/functions.html#func-str>`_, `bytes <https://docs.python.org/3/library/functions.html#bytes>`_ * `None <https://docs.python.org/3/library/constants.html?highlight=none#None>`_ * `tuple <https://docs.python.org/3/library/functions.html#func-tuple>`_, `frozenset <https://docs.python.org/3/library/functions.html#func-frozenset>`_ * **immutable**, par défaut tous les autres types dont : * `list <https://docs.python.org/3/library/functions.html#func-list>`_ * `dict <https://docs.python.org/3/library/functions.html#func-dict>`_ * `set <https://docs.python.org/3/library/functions.html#func-set>`_ * `bytearray <https://docs.python.org/3/library/functions.html#bytearray>`_ Une instance de classe est mutable. Il est possible de la rendre immutable par quelques astuces : * `__slots__ <https://docs.python.org/3/reference/datamodel.html?highlight=_slots__#object.__slots__>`_ * `How to Create Immutable Classes in Python <http://www.blog.pythonlibrary.org/2014/01/17/how-to-create-immutable-classes-in-python/>`_ * `Ways to make a class immutable in Python <http://stackoverflow.com/questions/4996815/ways-to-make-a-class-immutable-in-python>`_ * `freeze <https://freeze.readthedocs.org/en/latest/>`_ Enfin, pour les objects qui s'imbriquent les uns dans les autres, une liste de listes, une classe qui incluent des dictionnaires et des listes, on distingue une copie simple d'une copie intégrale (**deepcopy**). Dans le cas d'une liste de listes, la copie simple recopie uniquement la première liste :: import copy l1 = [ [0,1], [2,3] ] l2 = copy.copy(l1) l1 [0][0] = '##' print(l1,l2) # --> [['##', 1], [2, 3]] [['##', 1], [2, 3]] l1 [0] = [10,10] print(l1,l2) # --> [[10, 10], [2, 3]] [['##', 1], [2, 3]] La copie intégrale recopie également les objets inclus :: import copy l1 = [ [0,1], [2,3] ] l2 = copy.deepcopy(l1) l1 [0][0] = '##' print(l1,l2) # --> [['##', 1], [2, 3]] [[0, 1], [2, 3]] Les deux fonctions s'appliquent à tout object Python : `module copy <https://docs.python.org/3/library/copy.html>`_. """ return id(a) == id(b) def stringio(text): """ returns a StringIO object on a text @param text any text @return StringIO object .. faqref:: :tag: python :title: A quoi sert un ``StringIO`` ? La plupart du temps, lorsqu'on récupère des données, elles sont sur le disque dur de votre ordinateur dans un fichier texte. Lorsqu'on souhaite automatiser un processur qu'on répète souvent avec ce fichier, on écrit une fonction qui prend le nom du fichier en entrée. :: def processus_quotidien(nom_fichier) : # on compte les lignes nb = 0 with open(nom_fichier,"r") as f : for line in f : nb += 1 return nb Et puis un jour, les données ne sont plus dans un fichier mais sur Internet. Le plus simple dans ce cas est de recopier ces données sur disque dur et d'appeler la même fonction. Simple. Un autre les données qu'on doit télécharger font plusieurs gigaoctets. Tout télécharger prend du temps pour finir pour s'apercevoir qu'elles sont corrompues. On a perdu plusieurs heures pour rien. On aurait bien voulu que la fonction ``processus_quotidien`` commence à traiter les données dès le début du téléchargement. Pour cela, on a inventé la notion de **stream** ou **flux** qui sert d'interface entre la fonction qui traite les données et la source des données. Le flux lire les données depuis n'importe quel source (fichier, internet, mémoire), la fonction qui les traite n'a pas besoin d'en connaître la provenance. `StringIO <https://docs.python.org/3/library/io.html#io.StringIO>`_ est un flux qui considère la mémoire comme source de données. :: def processus_quotidien(data_stream): # on compte toujours les lignes nb = 0 for line in data_stream : nb += 1 return nb La fonction ``processus_quotidien`` fonctionne pour des données en mémoire et sur un fichier. :: fichier = __file__ f = open(fichier,"r") nb = processus_quotidien(f) print(nb) text = "ligne1\nligne2" st = io.StringIO(text) nb = processus_quotidien(st) print(nb) """ return io.StringIO(text) def property_example(): """ .. faqref:: :tag: class :title: property Une `property <https://docs.python.org/3/library/functions.html#property>`_ est une écriture qui sert à transformer l'appel d'une méthode de classe en un attribut. :: class ClasseAvecProperty: def __init__(self,x,y): self._x, self._y = x,y @property def x(self): return self._x @property def y(self): return self._y @property def norm2(self): return self._y**2 + self._x**2 c = ClasseAvecProperty(1,2) print(c.x) print(c.y) ``x`` est définit comme une méthode mais elle retourne simplement l'attribut ``_x``. De cette façon, il est impossible de changer ``x`` en écrivant:: c.x = 5 Cela déclenche l'erreur:: Traceback (most recent call last): File "faq_python.py", line 455, in <module> c.x = 5 AttributeError: can't set attribute On fait cela parce que l'écriture est plus courte et que cela évite certaines erreurs. """ pass def enumerate_regex_search(exp, text): """ Cette fonction itère sur les différentes occurences d'une expression régulière. @param exp expression régulière @param text text à parser @return itérateur .. faqref:: :tag: regex :title: Comment itérer sur les résultats d'une expression régulière ? On utilise la méthode `finditer <https://docs.python.org/3/library/re.html#re.regex.finditer>`_. :: found = exp.search(text) for m in exp.finditer(text): # ... Voir également `Petites subtilités avec les expressions régulières en Python <http://www.xavierdupre.fr/blog/2014-12-02_nojs.html>`_. """ # found = exp.search(text) if isinstance(exp, str): exp = re.compile(exp) for m in exp.finditer(text): yield m def sortable_class(cl): """ .. faqref:: :tag: class :title: Classe sortable Il faut prononcer *sortable* à l'anglaise. Comment rendre une classe *sortable* ? Pour faire simple, on veut écrire :: l = [ o1, o2 ] l.sort() Où ``o1`` et ``o2`` sont des objets d'une classe que vous avez définie :: class MaClasse: ... Pour que cela fonctionne, il suffit juste de surcharger l'opérateur ``<`` ou plus exactement ``__lt__``. Par exemple :: class MaClasse: def __lt__(self, autre_instance): if self.jenesaispas < autre.jenesaispas: return True elif self.jenesaispas > autre.jenesaispas: return False: else: if self.jenesaispas2 < autre.jenesaispas2: return True else: return False """ pass def list_of_installed_packages(): """ calls ``pip list`` to retrieve the list of packages .. faqref:: :tag: module :title: Obtenir des informations sur les packages installés Le module `pip <https://pip.pypa.io/en/stable/>`_ retourne des informations sur n'importe quel module installé, sa version, sa license :: pip show pandas On peut également l'obtenir depuis l'interpréteur python :: import pip pip.main(["show", "pandas"]) Exemple :: Name: pandas Version: 0.16.0 Summary: Powerful data structures for data analysis, time series,and statistics Home-page: http://pandas.pydata.org Author: The PyData Development Team Author-email: pydata@googlegroups.com License: BSD Location: c:\\python35_x64\\lib\\site-packages Requires: python-dateutil, pytz, numpy On utilise également ``pip freeze`` pour répliquer l'environnement dans lequel on a développé un programme. `pip freeze <https://pip.pypa.io/en/latest/reference/pip_freeze.html>`_ produit la liste des modules avec la version utilisée :: docutils==0.11 Jinja2==2.7.2 MarkupSafe==0.19 Pygments==1.6 Sphinx==1.2.2 Ce qu'on utilise pour répliquer l'environnement de la manière suivante :: pip freeze > requirements.txt pip install -r requirements.txt Cette façon de faire fonctionne très bien sous Linux mais n'est pas encore opérationnelle sous Windows à moins d'installer le compilateur C++ utilisée pour compiler Python. """ from pyquickhelper.pycode.pip_helper import get_packages_list # pylint: disable=C0415 return get_packages_list() def information_about_package(name): """ calls ``pip show`` to retrieve information about packages .. faqref:: :tag: module :title: Récupérer la liste des modules installés Le module `pip <https://pip.pypa.io/en/stable/>`_ permet d'installer de nouveaux modules mais aussi d'obtenir la liste des packages installés :: pip list On peut également l'obtenir depuis l'interpréteur python :: import pip pip.main(["list"]) .. faqref:: :tag: python :title: Pourquoi l'installation de pandas (ou numpy) ne marche pas sous Windows avec pip ? Python est un langage très lent et c'est pourquoi la plupart des modules de calculs numériques incluent des parties implémentées en langage C++. `numpy <http://www.numpy.org/>`_, `pandas <http://pandas.pydata.org/>`_, `matplotlib <http://matplotlib.org/>`_, `scipy <http://www.scipy.org/>`_, `scikit-learn <http://scikit-learn.org/stable/>`_, ... Sous Linux, le compilateur est intégré au système et l'installation de ces modules via l'instruction ``pip install <module>`` met implicitement le compilateur à contribution. Sous Windows, il n'existe pas de compilateur C++ par défaut à moins de l'installer. Il faut faire attention alors d'utiliser exactement le même que celui utilisé pour compiler Python (voir `Compiling Python on Windows <https://docs.python.org/3/using/windows.html#compiling-python-on-windows>`_). C'est pour cela qu'on préfère utiliser des distributions comme `Anaconda <http://continuum.io/downloads#py34>`_ qui propose par défaut une version de Python accompagnée des modules les plus utilisés. Elle propose également une façon simple d'installer des modules précompilés avec l'instruction :: conda install <module_compile> L'autre option est d'utilser le site `Unofficial Windows Binaries for Python Extension Packages <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_ qui propose des versions compilées sous Windows d'un grand nombre de modules. Il faut télécharger le fichier *.whl* puis l'installer avec l'instruction ``pip install <fichier.whl>``. La différence entre les deux ooptions tient aux environnements virtuels, voir `Python virtual environments <http://astropy.readthedocs.org/en/stable/development/workflow/virtual_pythons.html>`_. """ from pyquickhelper.pycode.pip_helper import get_package_info # pylint: disable=C0415 return get_package_info(name) def get_month_name(date): """ returns the month name for a give date @param date datatime @return month name .. faqref:: :tag: python :title: Récupérer le nom du mois à partir d'une date .. runpython:: :showcode: import datetime dt = datetime.datetime(2016, 1, 1) print(dt.strftime("%B")) """ return date.strftime("%B") def get_day_name(date): """ returns the day name for a give date @param date datatime @return month name .. faqref:: :tag: python :title: Récupérer le nom du jour à partir d'une date .. runpython:: :showcode: import datetime dt = datetime.datetime(2016, 1, 1) print(dt.strftime("%A")) """ return date.strftime("%A")

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0

1

0

1

0

4

97fec7fe8d25a158135aaf942fd80baafbf67a15

2,198

py

Python

tests/pricing.py

RossLote/lingo24

44d33b2c7dd040ba90f4ea090038aaa22721c9df

[ "MIT" ]

null

tests/pricing.py

RossLote/lingo24

44d33b2c7dd040ba90f4ea090038aaa22721c9df

[ "MIT" ]

null

tests/pricing.py

RossLote/lingo24

44d33b2c7dd040ba90f4ea090038aaa22721c9df

[ "MIT" ]

1

2021-04-21T06:58:29.000Z

# -*- coding: utf-8 -*- from lingo24.business_documents.pricing import Price, TotalPrice from .base import BaseTestCase class PriceTestCase(BaseTestCase): def test_equality(self): self.assertEqual(Price('GBP', 123, 456), Price('GBP', 123, 456)) self.assertNotEqual(Price('GBP', 123, 456), Price('USD', 123, 456)) self.assertNotEqual(Price('GBP', 123, 456), Price('GBP', 111, 456)) self.assertNotEqual(Price('GBP', 123, 456), Price('GBP', 123, 111)) def test_tax(self): price = Price('GBP', 123, 456) self.assertEqual(price.tax, 333) def test_formatted_net(self): self.assertEqual(Price('GBP', 123, 456).formatted_net, u'£123') self.assertEqual(Price('EUR', 123, 456).formatted_net, u'€123') self.assertEqual(Price('USD', 123, 456).formatted_net, u'$123') self.assertEqual(Price('AUD', 123, 456).formatted_net, u'AUD 123') def test_formatted_gross(self): self.assertEqual(Price('GBP', 123, 456).formatted_gross, u'£456') self.assertEqual(Price('EUR', 123, 456).formatted_gross, u'€456') self.assertEqual(Price('USD', 123, 456).formatted_gross, u'$456') self.assertEqual(Price('AUD', 123, 456).formatted_gross, u'AUD 456') def test_formatted_tax(self): self.assertEqual(Price('GBP', 123, 456).formatted_tax, u'£333') self.assertEqual(Price('EUR', 123, 456).formatted_tax, u'€333') self.assertEqual(Price('USD', 123, 456).formatted_tax, u'$333') self.assertEqual(Price('AUD', 123, 456).formatted_tax, u'AUD 333') class TotalPriceTestCase(BaseTestCase): def test_equality(self): self.assertEqual( TotalPrice(Price('GBP', 111, 222), Price('GBP', 333, 444)), TotalPrice(Price('GBP', 111, 222), Price('GBP', 333, 444)), ) self.assertNotEqual( TotalPrice(Price('GBP', 111, 222), Price('GBP', 333, 444)), TotalPrice(Price('USD', 111, 222), Price('GBP', 333, 444)), ) self.assertNotEqual( TotalPrice(Price('GBP', 111, 222), Price('GBP', 333, 444)), TotalPrice(Price('GBP', 111, 222), Price('USD', 333, 444)), )

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3f33416f7906ecb5711fdfe46e800f78d39df718

249

py

Python

Model/predictor_dl_model/predictor_dl_model/trainer/trainer_run.py

spyglass700/blue-marlin

b2e4689b2ebc0966db6a96f6c5ecb4478998d605

[ "Apache-2.0" ]

null

Model/predictor_dl_model/predictor_dl_model/trainer/trainer_run.py

spyglass700/blue-marlin

b2e4689b2ebc0966db6a96f6c5ecb4478998d605

[ "Apache-2.0" ]

null

Model/predictor_dl_model/predictor_dl_model/trainer/trainer_run.py

spyglass700/blue-marlin

b2e4689b2ebc0966db6a96f6c5ecb4478998d605

[ "Apache-2.0" ]

null

import os if __name__ == '__main__': os.system('python tfrecord_reader.py --add_days=63 data/vars') os.system('python trainer.py --name s32 --hparam_set=s32 --n_models=3 --no_forward_split --no_eval --asgd_decay=0.99 --max_epoch=150')

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null

0

1

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4

3f35b0149cea791424e4ce7e06c1ffc79ae4a07b

170

py

Python

variant_db/MySQLVariantDB.py

dawidsielski/medical-data-share

e462ffcfe0650b4fed2bb113c331a2a7438a8509

[ "MIT" ]

null

variant_db/MySQLVariantDB.py

dawidsielski/medical-data-share

e462ffcfe0650b4fed2bb113c331a2a7438a8509

[ "MIT" ]

null

variant_db/MySQLVariantDB.py

dawidsielski/medical-data-share

e462ffcfe0650b4fed2bb113c331a2a7438a8509

[ "MIT" ]

null

from variant_db.VariantDB import VariantDB class MySQLVarinatDB(VariantDB): @staticmethod def get_variants(chrom=None, start=None, end=None): pass

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null

0

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0

null

0

1

0

1

0

4

3f47f69357bdcd3a89beb841e87168976fe2c42f

82

py

Python

MLB-pyMatchups/__init__.py

FranB57/MLB-pyMatchups

6a8ea5bc7b6f475eac6ada08c4ee3d03ad989301

[ "MIT" ]

1

2020-12-25T22:08:17.000Z

MLB-pyMatchups/__init__.py

FranB57/MLB-pyMatchups

6a8ea5bc7b6f475eac6ada08c4ee3d03ad989301

[ "MIT" ]

null

MLB-pyMatchups/__init__.py

FranB57/MLB-pyMatchups

6a8ea5bc7b6f475eac6ada08c4ee3d03ad989301

[ "MIT" ]

null

#develop an init.py once the project reaches phase 2 to publish it as a library

20.5

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3f64073a62636ecf19174d8b00ab70245fcb6a63

693

py

Python

theapp/migrations/0007_auto_20191027_1606.py

je-ss-y/awards

c7633c4cb8a50fcebc05003e8a4d3e2719b13ef3

[ "CNRI-Python" ]

null

theapp/migrations/0007_auto_20191027_1606.py

je-ss-y/awards

c7633c4cb8a50fcebc05003e8a4d3e2719b13ef3

[ "CNRI-Python" ]

3

2020-06-05T23:53:13.000Z

2021-06-10T22:09:59.000Z

theapp/migrations/0007_auto_20191027_1606.py

je-ss-y/awards

c7633c4cb8a50fcebc05003e8a4d3e2719b13ef3

[ "CNRI-Python" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2019-10-27 16:06 from __future__ import unicode_literals from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('theapp', '0006_auto_20191027_0942'), ] operations = [ migrations.RemoveField( model_name='snap', name='content', ), migrations.RemoveField( model_name='snap', name='design', ), migrations.RemoveField( model_name='snap', name='link', ), migrations.RemoveField( model_name='snap', name='usability', ), ]

21.65625

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null

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1

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null

0

4

3f705c845143482cfeb57f7612ead011c15c6520

63

py

Python

GoPiGo_J/src/server/python/increase_speed.py

theplatypus/GoPiGo_Java

85544c93146d898bf08f0898350a9ef80da6754f

[ "Unlicense", "MIT" ]

1

2016-01-22T20:35:24.000Z

GoPiGo_J/src/server/python/increase_speed.py

theplatypus/GoPiGo_Java

85544c93146d898bf08f0898350a9ef80da6754f

[ "Unlicense", "MIT" ]

null

GoPiGo_J/src/server/python/increase_speed.py

theplatypus/GoPiGo_Java

85544c93146d898bf08f0898350a9ef80da6754f

[ "Unlicense", "MIT" ]

null

#!/usr/bin/env python import gopigo gopigo.increase_speed()

10.5

23

0.746032

9

63

5.111111

0.888889

0

0.126984

63

5

24

12.6

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0

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0

true

0

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null

0

1

0

1

0

4

58b77a93cfda4e77dd29f130442b70ce30e13fc0

368

py

Python

Which are in.py

lluxury/codewars

2cacc9d5411a248c199ad21949617c5acc9c7f24

[ "MIT" ]

null

Which are in.py

lluxury/codewars

2cacc9d5411a248c199ad21949617c5acc9c7f24

[ "MIT" ]

null

Which are in.py

lluxury/codewars

2cacc9d5411a248c199ad21949617c5acc9c7f24

[ "MIT" ]

null

def in_array(a1, a2): return sorted({sub for sub in a1 if any(sub in s for s in a2)}) # return sorted({sub for sub in a1 if 1}) # any 传入空可迭代对象时返回False，当可迭代对象中有任意一个不为False，则返回True # all 传入空可迭代对象时返回True，当可迭代对象中有任意一个不为True，则返回False # if 真有返回,if假无返回, 真假由 ()里内容决定,对a1里的每个sub反回真,假 # 不知道使用{}的原因,但是换掉会报错 ['duplicates', 'duplicates'] should equal ['duplicates']

46

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8

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null

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58c74d86eff7f75e85efb442571cd8932f5b7778

196

py

Python

examples/tutorial/tutorial/users/amodels.py

carbonariy/dvhb-hybrid

adbb250767ea255addc607fb6f6755c9add447db

[ "MIT" ]

27

2018-05-08T16:03:24.000Z

2020-02-20T06:39:19.000Z

examples/tutorial/tutorial/users/amodels.py

carbonariy/dvhb-hybrid

adbb250767ea255addc607fb6f6755c9add447db

[ "MIT" ]

7

2018-10-20T16:03:36.000Z

2021-11-03T11:09:22.000Z

examples/tutorial/tutorial/users/amodels.py

carbonariy/dvhb-hybrid

adbb250767ea255addc607fb6f6755c9add447db

[ "MIT" ]

16

2018-12-11T15:34:22.000Z

2022-01-25T00:20:55.000Z

from dvhb_hybrid.amodels import Model from .models import User as DjangoUser class User(Model): # Build sqlalchemy model by Django model table = Model.get_table_from_django(DjangoUser)

21.777778

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0.780612

28

196

5.321429

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0

0.168367

196

8

52

24.5

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null

0

1

0

1

0

4

58c7d376c2fb7bd1e705a6c7dcc2ca76d379ea5b

309

py

Python

trade_utilities/executions.py

bkarjoo/pysim

5d4e6ae337cac5b588a98ed33807e97677e36922

[ "MIT" ]

null

trade_utilities/executions.py

bkarjoo/pysim

5d4e6ae337cac5b588a98ed33807e97677e36922

[ "MIT" ]

null

trade_utilities/executions.py

bkarjoo/pysim

5d4e6ae337cac5b588a98ed33807e97677e36922

[ "MIT" ]

null

class Executions(object): def __init__(self): self.executions = [] def append(self, execution): self.executions.append(execution) def shares_traded(self): return sum([abs(item.qty) for item in self.executions]) def __len__(self): return len(self.executions)

23.769231

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0.647249

37

309

5.162162

0.486486

0.293194

0.17801

0

0.239482

309

12

64

25.75

0.812766

0

1

0.444444

false

0

0.222222

0.777778

0

null

1

0

null

0

1

0

1

0

4

58d6151f82f31cb94db1d639deb715ae93b58aea

1,482

py

Python

tests/test_choice_from_list.py

zheyu-wang-tony/datahub

40bcf2e225f74c914afee6843ace11a8dea20bf9

[ "Apache-2.0" ]

null

tests/test_choice_from_list.py

zheyu-wang-tony/datahub

40bcf2e225f74c914afee6843ace11a8dea20bf9

[ "Apache-2.0" ]

null

tests/test_choice_from_list.py

zheyu-wang-tony/datahub

40bcf2e225f74c914afee6843ace11a8dea20bf9

[ "Apache-2.0" ]

null

import numpy as np import datahub_core.generators as gen def test_address_generation(): df = gen.generate( props={ 'region': gen.choice(['NAM', 'EMEA', 'APAC', 'LATAM']), }, count=100, randomstate=np.random.RandomState(13031981) ).to_dataframe() found_nam = False found_emea = False found_apac = False found_latam = False for row in df['region']: if row == 'NAM': found_nam = True if row == 'EMEA': found_emea = True if row == 'APAC': found_apac = True if row == 'LATAM': found_latam = True assert found_nam assert found_emea assert found_apac assert found_latam def test_test_weighting(): df = gen.generate( props={ 'region': gen.choice( data=['NAM', 'EMEA', 'APAC', 'LATAM'], weights=[0, 0.5, 0.5, 0]), }, count=100, randomstate=np.random.RandomState(13031981) ).to_dataframe() found_nam = False found_emea = False found_apac = False found_latam = False for row in df['region']: if row == 'NAM': found_nam = True if row == 'EMEA': found_emea = True if row == 'APAC': found_apac = True if row == 'LATAM': found_latam = True assert not found_nam assert found_emea assert found_apac assert not found_latam

23.15625

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0

null

0

1

0

1

0

null

0

4

58feec3a171a7d23967fb87272b47eaf4d82e5bc

30

py

Python

cosmos/ingestion/ingest/process/detection/src/torch_model/train/anchor_targets/__init__.py

ilmcconnell/Cosmos

84245034727c30e20ffddee9e02c7e96f3aa115e

[ "Apache-2.0" ]

30

2019-03-14T08:24:34.000Z

2022-03-09T06:05:44.000Z

cosmos/ingestion/ingest/process/detection/src/torch_model/train/anchor_targets/__init__.py

ilmcconnell/Cosmos

84245034727c30e20ffddee9e02c7e96f3aa115e

[ "Apache-2.0" ]

78

2019-02-07T22:14:48.000Z

2022-03-09T05:59:18.000Z

cosmos/ingestion/ingest/process/detection/src/torch_model/train/anchor_targets/__init__.py

ilmcconnell/Cosmos

84245034727c30e20ffddee9e02c7e96f3aa115e

[ "Apache-2.0" ]

11

2019-03-02T01:20:06.000Z

2022-03-25T07:25:46.000Z

""" Anchor targets module """

7.5

21

0.633333

3

30

6.333333

1

0

0.166667

30

3

22

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0.76

0.7

0

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null

0

1

0

null

0

1

0

4

18ef39fe736f8e8ad6e7df9847943aa98bca2c9e

17,944

py

Python

netbox/dcim/migrations/0044_virtualization_squashed_0061_platform_napalm_args.py

BrnoPCmaniak/netbox

7b517abdb68a6324950dfd0375861163c7bfff00

[ "Apache-2.0" ]

1

2021-09-23T00:06:51.000Z

netbox/dcim/migrations/0044_virtualization_squashed_0061_platform_napalm_args.py

BrnoPCmaniak/netbox

7b517abdb68a6324950dfd0375861163c7bfff00

[ "Apache-2.0" ]

2

2021-06-08T21:05:10.000Z

2021-09-08T01:46:58.000Z

netbox/dcim/migrations/0044_virtualization_squashed_0061_platform_napalm_args.py

BrnoPCmaniak/netbox

7b517abdb68a6324950dfd0375861163c7bfff00

[ "Apache-2.0" ]

null

import django.contrib.postgres.fields.jsonb import django.core.validators import django.db.models.deletion import taggit.managers import timezone_field.fields from django.conf import settings from django.db import migrations, models import utilities.fields class Migration(migrations.Migration): replaces = [('dcim', '0044_virtualization'), ('dcim', '0045_devicerole_vm_role'), ('dcim', '0046_rack_lengthen_facility_id'), ('dcim', '0047_more_100ge_form_factors'), ('dcim', '0048_rack_serial'), ('dcim', '0049_rackreservation_change_user'), ('dcim', '0050_interface_vlan_tagging'), ('dcim', '0051_rackreservation_tenant'), ('dcim', '0052_virtual_chassis'), ('dcim', '0053_platform_manufacturer'), ('dcim', '0054_site_status_timezone_description'), ('dcim', '0055_virtualchassis_ordering'), ('dcim', '0056_django2'), ('dcim', '0057_tags'), ('dcim', '0058_relax_rack_naming_constraints'), ('dcim', '0059_site_latitude_longitude'), ('dcim', '0060_change_logging'), ('dcim', '0061_platform_napalm_args')] dependencies = [ ('virtualization', '0001_virtualization'), ('tenancy', '0003_unicode_literals'), ('ipam', '0020_ipaddress_add_role_carp'), ('dcim', '0043_device_component_name_lengths'), ('taggit', '0002_auto_20150616_2121'), ] operations = [ migrations.AddField( model_name='device', name='cluster', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='devices', to='virtualization.Cluster'), ), migrations.AddField( model_name='interface', name='virtual_machine', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='interfaces', to='virtualization.VirtualMachine'), ), migrations.AlterField( model_name='interface', name='device', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='interfaces', to='dcim.Device'), ), migrations.AddField( model_name='devicerole', name='vm_role', field=models.BooleanField(default=True, help_text='Virtual machines may be assigned to this role', verbose_name='VM Role'), ), migrations.AlterField( model_name='rack', name='facility_id', field=utilities.fields.NullableCharField(blank=True, max_length=50, null=True, verbose_name='Facility ID'), ), migrations.AlterField( model_name='interface', name='form_factor', field=models.PositiveSmallIntegerField(choices=[['Virtual interfaces', [[0, 'Virtual'], [200, 'Link Aggregation Group (LAG)']]], ['Ethernet (fixed)', [[800, '100BASE-TX (10/100ME)'], [1000, '1000BASE-T (1GE)'], [1150, '10GBASE-T (10GE)'], [1170, '10GBASE-CX4 (10GE)']]], ['Ethernet (modular)', [[1050, 'GBIC (1GE)'], [1100, 'SFP (1GE)'], [1200, 'SFP+ (10GE)'], [1300, 'XFP (10GE)'], [1310, 'XENPAK (10GE)'], [1320, 'X2 (10GE)'], [1350, 'SFP28 (25GE)'], [1400, 'QSFP+ (40GE)'], [1500, 'CFP (100GE)'], [1510, 'CFP2 (100GE)'], [1520, 'CFP4 (100GE)'], [1550, 'Cisco CPAK (100GE)'], [1600, 'QSFP28 (100GE)']]], ['Wireless', [[2600, 'IEEE 802.11a'], [2610, 'IEEE 802.11b/g'], [2620, 'IEEE 802.11n'], [2630, 'IEEE 802.11ac'], [2640, 'IEEE 802.11ad']]], ['FibreChannel', [[3010, 'SFP (1GFC)'], [3020, 'SFP (2GFC)'], [3040, 'SFP (4GFC)'], [3080, 'SFP+ (8GFC)'], [3160, 'SFP+ (16GFC)']]], ['Serial', [[4000, 'T1 (1.544 Mbps)'], [4010, 'E1 (2.048 Mbps)'], [4040, 'T3 (45 Mbps)'], [4050, 'E3 (34 Mbps)']]], ['Stacking', [[5000, 'Cisco StackWise'], [5050, 'Cisco StackWise Plus'], [5100, 'Cisco FlexStack'], [5150, 'Cisco FlexStack Plus'], [5200, 'Juniper VCP']]], ['Other', [[32767, 'Other']]]], default=1200), ), migrations.AlterField( model_name='interfacetemplate', name='form_factor', field=models.PositiveSmallIntegerField(choices=[['Virtual interfaces', [[0, 'Virtual'], [200, 'Link Aggregation Group (LAG)']]], ['Ethernet (fixed)', [[800, '100BASE-TX (10/100ME)'], [1000, '1000BASE-T (1GE)'], [1150, '10GBASE-T (10GE)'], [1170, '10GBASE-CX4 (10GE)']]], ['Ethernet (modular)', [[1050, 'GBIC (1GE)'], [1100, 'SFP (1GE)'], [1200, 'SFP+ (10GE)'], [1300, 'XFP (10GE)'], [1310, 'XENPAK (10GE)'], [1320, 'X2 (10GE)'], [1350, 'SFP28 (25GE)'], [1400, 'QSFP+ (40GE)'], [1500, 'CFP (100GE)'], [1510, 'CFP2 (100GE)'], [1520, 'CFP4 (100GE)'], [1550, 'Cisco CPAK (100GE)'], [1600, 'QSFP28 (100GE)']]], ['Wireless', [[2600, 'IEEE 802.11a'], [2610, 'IEEE 802.11b/g'], [2620, 'IEEE 802.11n'], [2630, 'IEEE 802.11ac'], [2640, 'IEEE 802.11ad']]], ['FibreChannel', [[3010, 'SFP (1GFC)'], [3020, 'SFP (2GFC)'], [3040, 'SFP (4GFC)'], [3080, 'SFP+ (8GFC)'], [3160, 'SFP+ (16GFC)']]], ['Serial', [[4000, 'T1 (1.544 Mbps)'], [4010, 'E1 (2.048 Mbps)'], [4040, 'T3 (45 Mbps)'], [4050, 'E3 (34 Mbps)']]], ['Stacking', [[5000, 'Cisco StackWise'], [5050, 'Cisco StackWise Plus'], [5100, 'Cisco FlexStack'], [5150, 'Cisco FlexStack Plus'], [5200, 'Juniper VCP']]], ['Other', [[32767, 'Other']]]], default=1200), ), migrations.AddField( model_name='rack', name='serial', field=models.CharField(blank=True, max_length=50, verbose_name='Serial number'), ), migrations.AlterField( model_name='rackreservation', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='interface', name='mode', field=models.PositiveSmallIntegerField(blank=True, choices=[[100, 'Access'], [200, 'Tagged'], [300, 'Tagged All']], null=True), ), migrations.AddField( model_name='interface', name='tagged_vlans', field=models.ManyToManyField(blank=True, related_name='interfaces_as_tagged', to='ipam.VLAN', verbose_name='Tagged VLANs'), ), migrations.AddField( model_name='rackreservation', name='tenant', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='rackreservations', to='tenancy.Tenant'), ), migrations.CreateModel( name='VirtualChassis', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('domain', models.CharField(blank=True, max_length=30)), ('master', models.OneToOneField(default=1, on_delete=django.db.models.deletion.PROTECT, related_name='vc_master_for', to='dcim.Device')), ], options={ 'ordering': ['master'], 'verbose_name_plural': 'virtual chassis', }, ), migrations.AddField( model_name='device', name='virtual_chassis', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='members', to='dcim.VirtualChassis'), ), migrations.AddField( model_name='device', name='vc_position', field=models.PositiveSmallIntegerField(blank=True, null=True, validators=[django.core.validators.MaxValueValidator(255)]), ), migrations.AddField( model_name='device', name='vc_priority', field=models.PositiveSmallIntegerField(blank=True, null=True, validators=[django.core.validators.MaxValueValidator(255)]), ), migrations.AlterUniqueTogether( name='device', unique_together={('rack', 'position', 'face'), ('virtual_chassis', 'vc_position')}, ), migrations.AlterField( model_name='platform', name='napalm_driver', field=models.CharField(blank=True, help_text='The name of the NAPALM driver to use when interacting with devices', max_length=50, verbose_name='NAPALM driver'), ), migrations.AddField( model_name='site', name='description', field=models.CharField(blank=True, max_length=100), ), migrations.AddField( model_name='site', name='status', field=models.PositiveSmallIntegerField(choices=[[1, 'Active'], [2, 'Planned'], [4, 'Retired']], default=1), ), migrations.AddField( model_name='site', name='time_zone', field=timezone_field.fields.TimeZoneField(blank=True), ), migrations.AlterField( model_name='virtualchassis', name='master', field=models.OneToOneField(on_delete=django.db.models.deletion.PROTECT, related_name='vc_master_for', to='dcim.Device'), ), migrations.AddField( model_name='interface', name='untagged_vlan', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='interfaces_as_untagged', to='ipam.VLAN', verbose_name='Untagged VLAN'), ), migrations.AddField( model_name='platform', name='manufacturer', field=models.ForeignKey(blank=True, help_text='Optionally limit this platform to devices of a certain manufacturer', null=True, on_delete=django.db.models.deletion.PROTECT, related_name='platforms', to='dcim.Manufacturer'), ), migrations.AddField( model_name='device', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='devicetype', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='rack', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='site', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='consoleport', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='consoleserverport', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='devicebay', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='interface', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='inventoryitem', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='poweroutlet', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='powerport', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AddField( model_name='virtualchassis', name='tags', field=taggit.managers.TaggableManager(help_text='A comma-separated list of tags.', through='taggit.TaggedItem', to='taggit.Tag', verbose_name='Tags'), ), migrations.AlterModelOptions( name='rack', options={'ordering': ['site', 'group', 'name']}, ), migrations.AlterUniqueTogether( name='rack', unique_together={('group', 'name'), ('group', 'facility_id')}, ), migrations.AddField( model_name='site', name='latitude', field=models.DecimalField(blank=True, decimal_places=6, max_digits=8, null=True), ), migrations.AddField( model_name='site', name='longitude', field=models.DecimalField(blank=True, decimal_places=6, max_digits=9, null=True), ), migrations.AddField( model_name='devicerole', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='devicerole', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='devicetype', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='devicetype', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='manufacturer', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='manufacturer', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='platform', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='platform', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='rackgroup', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='rackgroup', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='rackreservation', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='rackrole', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='rackrole', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='region', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='region', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='virtualchassis', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AddField( model_name='virtualchassis', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AlterField( model_name='device', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AlterField( model_name='device', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AlterField( model_name='rack', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AlterField( model_name='rack', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AlterField( model_name='rackreservation', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AlterField( model_name='site', name='created', field=models.DateField(auto_now_add=True, null=True), ), migrations.AlterField( model_name='site', name='last_updated', field=models.DateTimeField(auto_now=True, null=True), ), migrations.AddField( model_name='platform', name='napalm_args', field=django.contrib.postgres.fields.jsonb.JSONField(blank=True, help_text='Additional arguments to pass when initiating the NAPALM driver (JSON format)', null=True, verbose_name='NAPALM arguments'), ), ]

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7a19be530f5cea0c8e3abb4854d0dbd9712c508a

187

py

Python

dataformat-json-jackson/src/test/resources/org/camunda/spin/python/json/tree/JsonTreeSetPropertyPythonTest.shouldReplaceObjectProperty.py

ingorichtsmeier/camunda-spin

f6f929cb4b49f5be3c06fcecf03008fec9fe25c1

[ "Apache-2.0" ]

27

2015-02-15T22:01:39.000Z

2022-03-02T05:41:29.000Z

dataformat-json-jackson/src/test/resources/org/camunda/spin/python/json/tree/JsonTreeSetPropertyPythonTest.shouldReplaceObjectProperty.py

ingorichtsmeier/camunda-spin

f6f929cb4b49f5be3c06fcecf03008fec9fe25c1

[ "Apache-2.0" ]

101

2015-06-05T06:53:56.000Z

2022-02-28T19:32:44.000Z

dataformat-json-jackson/src/test/resources/org/camunda/spin/python/json/tree/JsonTreeSetPropertyPythonTest.shouldReplaceObjectProperty.py

ingorichtsmeier/camunda-spin

f6f929cb4b49f5be3c06fcecf03008fec9fe25c1

[ "Apache-2.0" ]

25

2015-05-26T21:28:42.000Z

2021-07-06T10:04:01.000Z

node = S(input, "application/json") oldValue = node.prop("order") jsonObject = { "name": "test", "comment": "42!" } node.prop("order", jsonObject) newValue = node.prop("order")

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e13295df6149bfe10f3c7dc3aca345513f5d842d

1,378

py

Python

application/models/user.py

Rsl1122/Forum-Aurum

d9f2d6687b4411a3d9cba4c1a01923f6d4ba0c69

[ "MIT" ]

null

application/models/user.py

Rsl1122/Forum-Aurum

d9f2d6687b4411a3d9cba4c1a01923f6d4ba0c69

[ "MIT" ]

2

2018-04-22T20:08:25.000Z

2018-08-11T20:57:47.000Z

application/models/user.py

Rsl1122/Forum-Aurum

d9f2d6687b4411a3d9cba4c1a01923f6d4ba0c69

[ "MIT" ]

null

from sqlalchemy import text from application import db from application.models.user_role import UserRole class User(db.Model): __tablename__ = "account" id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(100)) created = db.Column(db.DateTime, default=db.func.current_timestamp()) password = db.Column(db.String(150)) topics = db.relationship("Topic", back_populates='account', lazy=True) messages = db.relationship("Message", back_populates='account', lazy=True) roles = db.relationship('Role', secondary=UserRole, backref='User') def __init__(self, name, hashedPassword): self.name = name self.password = hashedPassword def get_id(self): return self.id def is_active(self): return True def is_anonymous(self): return False def is_authenticated(self): return True def has_role(self, role): for r in self.roles: if r.name == role: return True return False def role_names(self): # Turn user's roles into a list of role names return list(map(lambda role: role.name, self.roles)) @staticmethod def find_user_count(): stmt = text("SELECT COUNT(*) as c FROM account LIMIT 1") res = db.engine.execute(stmt) for row in res: return row[0]

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1,378

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1

0

4

e14c8dbfc8bc358b24ede1903a6a39230071e498

117

py

Python

office365/sharepoint/pages/template_file_type.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

null

office365/sharepoint/pages/template_file_type.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

null

office365/sharepoint/pages/template_file_type.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

null

class TemplateFileType: def __init__(self): pass StandardPage = 0 WikiPage = 1 FormPage = 2

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e15b454b5cf405b40d8aee4544d849cebf8a71b0

118

py

Python

qtoggleserver/mppsolar/commands/pbdv.py

qtoggle/qtoggleserver-mppsolar

cc3a68f3ba9f5695946989ea5fa32364c5e28f70

[ "Apache-2.0" ]

1

2021-11-30T01:04:37.000Z

qtoggleserver/mppsolar/commands/pbdv.py

qtoggle/qtoggleserver-mppsolar

cc3a68f3ba9f5695946989ea5fa32364c5e28f70

[ "Apache-2.0" ]

null

qtoggleserver/mppsolar/commands/pbdv.py

qtoggle/qtoggleserver-mppsolar

cc3a68f3ba9f5695946989ea5fa32364c5e28f70

[ "Apache-2.0" ]

null

from .base import Command class PBDV(Command): REQUEST_FMT = 'PBDV{battery_back_to_discharging_voltage:04.1f}'

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e15cf002aeee90b8a8e4fb51920ec2785dea62e9

222

py

Python

scripts/util/si_formatter.py

iQoo/NYState-COVID-19-Tracker

2c39c182e3420768bc60902d220d6b257eb7b73f

[ "MIT" ]

16

2020-04-01T16:22:32.000Z

2020-08-10T20:14:19.000Z

scripts/util/si_formatter.py

iQoo/NYState-COVID-19-Tracker

2c39c182e3420768bc60902d220d6b257eb7b73f

[ "MIT" ]

11

2020-04-02T14:21:22.000Z

2022-03-12T00:28:20.000Z

scripts/util/si_formatter.py

iQoo/NYState-COVID-19-Tracker

2c39c182e3420768bc60902d220d6b257eb7b73f

[ "MIT" ]

8

2020-04-02T14:10:31.000Z

2020-10-24T05:06:24.000Z

import si_prefix from matplotlib.ticker import LogFormatter class LogFormatterSI(LogFormatter): def _num_to_string(self, x, vmin, vmax): return si_prefix.si_format(x, precision=0, format_str='{value}{prefix}')

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1

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4

e16a99338edffe6ebb1c178aec99baa780c71941

7,031

py

Python

gnuradio-3.7.13.4/gr-digital/python/digital/qa_pfb_clock_sync.py

v1259397/cosmic-gnuradio

64c149520ac6a7d44179c3f4a38f38add45dd5dc

[ "BSD-3-Clause" ]

1

2021-03-09T07:32:37.000Z

gnuradio-3.7.13.4/gr-digital/python/digital/qa_pfb_clock_sync.py

v1259397/cosmic-gnuradio

64c149520ac6a7d44179c3f4a38f38add45dd5dc

[ "BSD-3-Clause" ]

null

gnuradio-3.7.13.4/gr-digital/python/digital/qa_pfb_clock_sync.py

v1259397/cosmic-gnuradio

64c149520ac6a7d44179c3f4a38f38add45dd5dc

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # # Copyright 2011,2013 Free Software Foundation, Inc. # # This file is part of GNU Radio # # GNU Radio is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 3, or (at your option) # any later version. # # GNU Radio is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with GNU Radio; see the file COPYING. If not, write to # the Free Software Foundation, Inc., 51 Franklin Street, # Boston, MA 02110-1301, USA. # import random import cmath import time from gnuradio import gr, gr_unittest, filter, digital, blocks class test_pfb_clock_sync(gr_unittest.TestCase): def setUp(self): self.tb = gr.top_block() def tearDown(self): self.tb = None def test01(self): # Test BPSK sync excess_bw = 0.35 sps = 4 loop_bw = cmath.pi/100.0 nfilts = 32 init_phase = nfilts/2 max_rate_deviation = 0.5 osps = 1 ntaps = 11 * int(sps*nfilts) taps = filter.firdes.root_raised_cosine(nfilts, nfilts*sps, 1.0, excess_bw, ntaps) self.test = digital.pfb_clock_sync_ccf(sps, loop_bw, taps, nfilts, init_phase, max_rate_deviation, osps) data = 10000*[complex(1,0), complex(-1,0)] self.src = blocks.vector_source_c(data, False) # pulse shaping interpolation filter rrc_taps = filter.firdes.root_raised_cosine( nfilts, # gain nfilts, # sampling rate based on 32 filters in resampler 1.0, # symbol rate excess_bw, # excess bandwidth (roll-off factor) ntaps) self.rrc_filter = filter.pfb_arb_resampler_ccf(sps, rrc_taps) self.snk = blocks.vector_sink_c() self.tb.connect(self.src, self.rrc_filter, self.test, self.snk) self.tb.run() expected_result = 10000*[complex(1,0), complex(-1,0)] dst_data = self.snk.data() # Only compare last Ncmp samples Ncmp = 1000 len_e = len(expected_result) len_d = len(dst_data) expected_result = expected_result[len_e - Ncmp:] dst_data = dst_data[len_d - Ncmp:] #for e,d in zip(expected_result, dst_data): # print e, d self.assertComplexTuplesAlmostEqual(expected_result, dst_data, 1) def test02(self): # Test real BPSK sync excess_bw = 0.35 sps = 4 loop_bw = cmath.pi/100.0 nfilts = 32 init_phase = nfilts/2 max_rate_deviation = 0.5 osps = 1 ntaps = 11 * int(sps*nfilts) taps = filter.firdes.root_raised_cosine(nfilts, nfilts*sps, 1.0, excess_bw, ntaps) self.test = digital.pfb_clock_sync_fff(sps, loop_bw, taps, nfilts, init_phase, max_rate_deviation, osps) data = 10000*[1, -1] self.src = blocks.vector_source_f(data, False) # pulse shaping interpolation filter rrc_taps = filter.firdes.root_raised_cosine( nfilts, # gain nfilts, # sampling rate based on 32 filters in resampler 1.0, # symbol rate excess_bw, # excess bandwidth (roll-off factor) ntaps) self.rrc_filter = filter.pfb_arb_resampler_fff(sps, rrc_taps) self.snk = blocks.vector_sink_f() self.tb.connect(self.src, self.rrc_filter, self.test, self.snk) self.tb.run() expected_result = 10000*[1, -1] dst_data = self.snk.data() # Only compare last Ncmp samples Ncmp = 1000 len_e = len(expected_result) len_d = len(dst_data) expected_result = expected_result[len_e - Ncmp:] dst_data = dst_data[len_d - Ncmp:] #for e,d in zip(expected_result, dst_data): # print e, d self.assertFloatTuplesAlmostEqual(expected_result, dst_data, 1) def test03(self): # Test resting of taps excess_bw0 = 0.35 excess_bw1 = 0.22 sps = 4 loop_bw = cmath.pi/100.0 nfilts = 32 init_phase = nfilts/2 max_rate_deviation = 0.5 osps = 1 ntaps = 11 * int(sps*nfilts) taps = filter.firdes.root_raised_cosine(nfilts, nfilts*sps, 1.0, excess_bw0, ntaps) self.test = digital.pfb_clock_sync_ccf(sps, loop_bw, taps, nfilts, init_phase, max_rate_deviation, osps) self.src = blocks.null_source(gr.sizeof_gr_complex) self.snk = blocks.null_sink(gr.sizeof_gr_complex) self.tb.connect(self.src, self.test, self.snk) self.tb.start() time.sleep(0.1) taps = filter.firdes.root_raised_cosine(nfilts, nfilts*sps, 1.0, excess_bw1, ntaps) self.test.update_taps(taps) self.tb.stop() self.tb.wait() self.assertTrue(True) def test03_f(self): # Test resting of taps excess_bw0 = 0.35 excess_bw1 = 0.22 sps = 4 loop_bw = cmath.pi/100.0 nfilts = 32 init_phase = nfilts/2 max_rate_deviation = 0.5 osps = 1 ntaps = 11 * int(sps*nfilts) taps = filter.firdes.root_raised_cosine(nfilts, nfilts*sps, 1.0, excess_bw0, ntaps) self.test = digital.pfb_clock_sync_fff(sps, loop_bw, taps, nfilts, init_phase, max_rate_deviation, osps) self.src = blocks.null_source(gr.sizeof_float) self.snk = blocks.null_sink(gr.sizeof_float) self.tb.connect(self.src, self.test, self.snk) self.tb.start() time.sleep(0.1) taps = filter.firdes.root_raised_cosine(nfilts, nfilts*sps, 1.0, excess_bw1, ntaps) self.test.update_taps(taps) self.tb.stop() self.tb.wait() self.assertTrue(True) if __name__ == '__main__': gr_unittest.run(test_pfb_clock_sync, "test_pfb_clock_sync.xml")

31.671171

77

0.548002

874

7,031

4.223112

0.23341

0.022758

0.034679

0.043349

0.75806

0.732593

0.703874

0.678407

0.660526

0

0.038791

0.369364

7,031

221

78

31.81448

0.79364

0.182904

0

0.77037

0

0.005435

0.004032

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0.02963

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1

0

1

0

1

0

null

0

4

e18010c558ea4d95b1a3770b4e5a294222e2cd4e

131

py

Python

filters.py

Phrampu/phrampu

1c7ab14b2486a679bb9fffab978a522754d10c1f

[ "MIT" ]

1

2017-03-16T19:24:33.000Z

filters.py

Phrampu/phrampu

1c7ab14b2486a679bb9fffab978a522754d10c1f

[ "MIT" ]

2

2016-11-12T22:09:50.000Z

2016-11-18T19:34:05.000Z

filters.py

Phrampu/phrampu

1c7ab14b2486a679bb9fffab978a522754d10c1f

[ "MIT" ]

1

2016-11-10T19:24:23.000Z

import logging class MyFilter(logging.Filter): def filter(self, record): return record.name != 'paramiko.transport'

16.375

50

0.694656

15

131

6.066667

0.8

0

0.198473

131

7

51

18.714286

0.866667

0

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0.25

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null

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1

0

null

0

1

0

1

0

4

e190763d875917513e2877e63412397bff1e5255

331

py

Python

pynotes/helpers/__init__.py

afonsopacifer/pynotes

442b2a3f802d523f1872ba912af880fdd3849062

[ "MIT" ]

8

2018-07-27T15:06:29.000Z

2019-07-23T04:01:24.000Z

pynotes/helpers/__init__.py

afonsopacifer/pynotes

442b2a3f802d523f1872ba912af880fdd3849062

[ "MIT" ]

null

pynotes/helpers/__init__.py

afonsopacifer/pynotes

442b2a3f802d523f1872ba912af880fdd3849062

[ "MIT" ]

1

2018-07-31T00:43:58.000Z

from .file_exist import file_exist class helpers: def file_exist(file_name): return file_exist(file_name) class colors: def success(text): return '\033[92m' + text def warning(text): return '\033[93m' + text def error(text): return '\033[91m' + text

19.470588

36

0.567976

41

331

4.439024

0.439024

0.197802

0.214286

0.186813

0

0.068182

0.335347

331

17

37

19.470588

0.759091

0

0.072289

0

1

0.363636

false

0

0.090909

0.363636

1

0

null

0

1

0

null

0

1

0

1

0

4

e1cdb170c24eb2d41f98543b5553171526b689e6

198

py

Python

scripts/tor.newnym.py

asvdf/joininbox

0e9c14e4b3ba50eaf35d182a4f48ce36da85be9f

[ "MIT" ]

102

2020-01-20T07:00:28.000Z

2022-03-28T04:13:13.000Z

scripts/tor.newnym.py

asvdf/joininbox

0e9c14e4b3ba50eaf35d182a4f48ce36da85be9f

[ "MIT" ]

66

2020-06-14T15:53:22.000Z

2022-03-12T10:45:01.000Z

scripts/tor.newnym.py

asvdf/joininbox

0e9c14e4b3ba50eaf35d182a4f48ce36da85be9f

[ "MIT" ]

17

2020-06-21T21:22:03.000Z

2022-03-11T13:23:20.000Z

#!/usr/bin/env python3 from stem import Signal from stem.control import Controller with Controller.from_port(port=9051) as controller: controller.authenticate() controller.signal(Signal.NEWNYM)

22

51

0.808081

27

198

5.888889

0.592593

0.100629

0

0.02809

0.10101

198

8

52

24.75

0.865169

0.106061

0

1

0

true

0

0.4

0

0.4

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1

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null

0

1

0

null

0

1

0

1

0

4

bed460a84a5d20781dbbbbdc09c03ebb9273b977

148

py

Python

app/__init__.py

TranscendComputing/StackStudio

f596d1ff6935d63c8aea740fb100459b368bb5c5

[ "Apache-2.0" ]

null

app/__init__.py

TranscendComputing/StackStudio

f596d1ff6935d63c8aea740fb100459b368bb5c5

[ "Apache-2.0" ]

null

app/__init__.py

TranscendComputing/StackStudio

f596d1ff6935d63c8aea740fb100459b368bb5c5

[ "Apache-2.0" ]

null

21.142857

49

0.722973

21

148

5.095238

1

0

0.03252

0.168919

148

6

50

24.666667

0.837398

0.918919

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

bed81d921343887d980e663596e3f8cf473510fc

220

py

Python

pythonProject/005.py

MontanhaRio/python

43ad6173d692ebeb153c23c893e4b8f0bf07afcc

[ "MIT" ]

null

pythonProject/005.py

MontanhaRio/python

43ad6173d692ebeb153c23c893e4b8f0bf07afcc

[ "MIT" ]

null

pythonProject/005.py

MontanhaRio/python

43ad6173d692ebeb153c23c893e4b8f0bf07afcc

[ "MIT" ]

null

N = int(input('Digite um numero:')) a = N - 1 s = N + 1 #print('analisando o valor {} , seu antecessor e {} e o sucessor e {} '.format(N, a, s)) print(f'Analisando o valor {N} , seu antecessor e {a} e o sucessor e {s}')

36.666667

88

0.609091

42

220

3.190476

0.452381

0.029851

0.238806

0.164179

0

0.011494

0.209091

220

5

89

44

0.758621

0.395455

0

0.613636

0

1

0

false

0

0.25

0

null

0

1

0

1

0

1

0

null

0

4

bef4eb3923c67b2d848891c343f3be622cf34ada

16,373

py

Python

main.py

alexnaoki/LHC_Hidroweb_Kivy

089ef1a952843f0f275c53eda179aca7417adb37

[ "MIT" ]

5

2021-01-15T15:26:56.000Z

2022-01-01T16:51:10.000Z

main.py

alexnaoki/LHC_Hidroweb_Kivy

089ef1a952843f0f275c53eda179aca7417adb37

[ "MIT" ]

null

main.py

alexnaoki/LHC_Hidroweb_Kivy

089ef1a952843f0f275c53eda179aca7417adb37

[ "MIT" ]

null

from kivy.app import App from kivy.uix.floatlayout import FloatLayout from kivy.network.urlrequest import UrlRequest from kivy.uix.popup import Popup from kivy.properties import ObjectProperty, StringProperty from kivy.lang import Builder from kivy.uix.screenmanager import ScreenManager, Screen from kivy.uix.filechooser import FileChooserListView from kivy.uix.button import Button from kivy.base import ExceptionHandler, ExceptionManager from kivy.clock import mainthread from mapview import MapMarker, MapView from mapview.clustered_marker_layer import ClusteredMarkerLayer from mapview.geojson import GeoJsonMapLayer from shapely.geometry import shape,mapping, Point, Polygon, MultiPolygon import shapefile from json import dumps from requests.models import PreparedRequest import xml.etree.ElementTree as ET import datetime import calendar import threading import csv import time import os class MainScreen(Screen): layer = ClusteredMarkerLayer(cluster_node_size=4,cluster_radius=200) popup = ObjectProperty() mapa = ObjectProperty() bbox = 0 def change_toInventario(self): self.manager.current = 'inventario' def change_toShape(self): self.manager.current = 'shapefilescreen' def change_toBbox(self): self.manager.current = 'bboxscreen' def change_toDownload_shp(self): self.manager.current = 'downloadscreen_shp' # def get_bbox(self): # bbox = self.manager.get_screen('bboxscreen').ids['mapbbox'].bbox # # self.manager.get_screen('bboxscreen').ids.labelbbox.text = str(self.manager.get_screen('main').ids['map'].bbox) # self.manager.get_screen('bboxscreen').ids.labelbbox.text = f'Latitude : [{bbox[2]:.3f} {bbox[0]:.3f}]\nLongitude: [{bbox[3]:.3f} {bbox[1]:.3f}]' # print(self.manager.get_screen('bboxscreen').ids['mapbbox'].bbox) # self.bbox = bbox def _donwload_teste(self, req, result): print('sucesso') print(result) def _download_error(self, *args): print('ERRO download') @mainthread def set_screen(self): self.manager.current = 'main' def show_codes(self): print(self.manager.get_screen('shapefilescreen').codes) class WindowManager(ScreenManager): pass class InventarioScreen(Screen): layer = ClusteredMarkerLayer(cluster_node_size=4,cluster_radius=200) inventario_path = StringProperty('') def teste(self): mark = MapMarker(lat=50, lon=10) self.manager.get_screen('main').ids['map'].add_marker(mark) def show_inventarioCluster(self, selection, *args): # print(selection) # self.manager.current = 'loading' # print(self.popup.inventario_path) # print(filechooserscreen.selection[0]) # self.ids['progressbar'].value = 25 self.inventario_path = selection[0] with open(self.inventario_path, encoding='utf8') as csvfile: data = csv.DictReader(csvfile) for row in data: self.layer.add_marker(lat=float(row['Latitude']), lon=float(row['Longitude'])) print('Added to layer') # self.ids['map'].add_widget(self.layer) self.manager.get_screen('main').ids['map'].add_widget(self.layer) self.layer.reposition() print('Added Layer') self.manager.current = 'main' self.manager.transition.direction = "left" # self.ids['progressbar'].value = 50 class ShapefileScreen(Screen): codes = [] def get_codes(self, selection, *args): print(selection[0]) shp_path = selection[0] shp = shapefile.Reader(shp_path) print(shp) all_shapes = shp.shapes() all_records = shp.records() print(all_shapes) print(all_records) print(self.manager.get_screen('inventario').ids.filechooserscreen.selection[0]) for i in range(len(all_shapes)): boundary = all_shapes[i] boundary = shape(boundary) print(boundary) with open(self.manager.get_screen('inventario').ids.filechooserscreen.selection[0], encoding='utf8') as csvfile: data = csv.DictReader(csvfile) for row in data: if Point((float(row['Longitude']), float(row['Latitude']))).within(boundary): print('Dentro') print(float(row['Latitude']), float(row['Longitude']), int(row['Codigo'])) mark = MapMarker(lat=float(row['Latitude']), lon=float(row['Longitude']), source='marker.png') self.manager.get_screen('main').ids['map'].add_marker(mark) self.codes.append(int(row['Codigo'])) else: pass print(self.codes) self.manager.current = 'main' self.manager.transition.direction = "down" class BBoxScreen(Screen): codes = [] def get_bbox(self): bbox = self.manager.get_screen('bboxscreen').ids['mapbbox'].bbox # self.manager.get_screen('bboxscreen').ids.labelbbox.text = str(self.manager.get_screen('main').ids['map'].bbox) self.manager.get_screen('bboxscreen').ids.labelbbox.text = f'Latitude : [{bbox[2]:.3f} {bbox[0]:.3f}]\nLongitude: [{bbox[3]:.3f} {bbox[1]:.3f}]' print(self.manager.get_screen('bboxscreen').ids['mapbbox'].bbox) self.bbox = bbox def get_codes(self): # bbox = self.manager.get_screen('main').bbox bbox = self.manager.get_screen('bboxscreen').ids['mapbbox'].bbox print(bbox) inventario_path = self.manager.get_screen('inventario').ids.filechooserscreen.selection[0] print(inventario_path) with open(inventario_path, encoding='utf8') as csvfile: data = csv.DictReader(csvfile) for row in data: if (float(row['Longitude'])>bbox[1]) and (float(row['Longitude'])<bbox[3]) and (float(row['Latitude'])>bbox[0]) and (float(row['Latitude'])<bbox[2]): print(row['Longitude'], row['Latitude'], row['Codigo']) mark = MapMarker(lat=float(row['Latitude']), lon=float(row['Longitude']), source='marker.png') self.manager.get_screen('main').ids['map'].add_marker(mark) self.codes.append(int(row['Codigo'])) else: pass print(len(self.codes)) self.manager.current = 'main' self.manager.transition.direction = 'up' class DownloadScreenShp(Screen): def selected(self, directory, filename): self.ids.downloadShpPath.text = os.path.dirname(filename) def teste(self): print(self.manager.get_screen('main').ids.toggle1.state) def download_ANA_station(self): folder_name = 'dados_LHC_hidroweb' b = 2 self.save_folder = os.path.join(self.ids.downloadShpPath.text, folder_name) if not os.path.exists(self.save_folder): print('nao existe, criando pasta') os.mkdir(self.save_folder) elif os.path.exists(self.save_folder): print('existe') print(self.manager.get_screen('main').ids.toggle1.state) print(self.manager.get_screen('main').ids.toggle2.state) if self.manager.get_screen('main').ids.toggle1.state == 'down': list_codes = self.manager.get_screen('shapefilescreen').codes if self.manager.get_screen('main').ids.toggle2.state == 'down': print('toggle2 down') list_codes = self.manager.get_screen('bboxscreen').codes print(list_codes) # if self.manager.get_screen('downloadscreen_shp').ids.togglechuva == 'down': # b = 2 # if self.manager.get_screen('downloadscreen_shp').ids.togglevazao == 'down': # b = 3 # else: # b = 3 # print('erro') # list_codes = [] for station in list_codes: api = 'http://telemetriaws1.ana.gov.br/ServiceANA.asmx/HidroSerieHistorica' self.params = {'codEstacao': station, 'dataInicio': '', 'dataFim': '', 'tipoDados': '{}'.format(b), 'nivelConsistencia': ''} url_req = PreparedRequest() url_req.prepare_url(api, self.params) self.req = UrlRequest( url_req.url, on_success=self._download_sucess, # on_success=self._donwload_teste, on_error=self._download_error, on_failure=self._download_error ) # print(self.req) # self.req.wait() print(station) def _donwload_teste(self, req, result): print('sucesso') print(result) def _download_sucess(self, req, result): try: # print(req) tree = ET.ElementTree(ET.fromstring(result)) root = tree.getroot() list_data = [] list_consistenciaF = [] list_month_dates = [] for i in root.iter('SerieHistorica'): codigo = i.find("EstacaoCodigo").text consistencia = i.find("NivelConsistencia").text date = i.find("DataHora").text date = datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') last_day = calendar.monthrange(date.year, date.month)[1] month_dates = [date + datetime.timedelta(days=i) for i in range(last_day)] data = [] list_consistencia = [] print(self.params['tipoDados']) for day in range(last_day): # if self.params['tipoDados'] == '3': # value = 'Vazao{:02}'.format(day+1) # try: # data.append(float(i.find(value).text)) # list_consistencia.append(int(consistencia)) # except TypeError: # data.append(i.find(value).text) # list_consistencia.append(int(consistencia)) # except AttributeError: # data.append(None) # list_consistencia.append(int(consistencia)) if self.params['tipoDados'] == '2': value = 'Chuva{:02}'.format(day+1) try: data.append(float(i.find(value).text)) list_consistencia.append(consistencia) except TypeError: data.append(i.find(value).text) list_consistencia.append(consistencia) except AttributeError: data.append(None) list_consistencia.append(consistencia) list_data = list_data + data list_consistenciaF = list_consistenciaF + list_consistencia list_month_dates = list_month_dates + month_dates # typeData = 2 print(list_data) # print(list_month_dates) # print(list_consistenciaF) if len(list_data) > 0: # print(typedata) typedata = self.params['tipoDados'] rows = zip(list_month_dates, list_consistenciaF, list_data) with open(os.path.join(self.save_folder,f'{typedata}_{codigo}.csv'), 'w', newline='') as f: writer = csv.writer(f) writer.writerow(('Date', f'Consistence_{typedata}_{codigo}', f'Data_{typedata}_{codigo}')) for row in rows: writer.writerow(row) except: print('ERRO') def _download_error(self, *args): print('ERRO download') def download_ANA_station_vazao(self): folder_name = 'dados_LHC_hidroweb' b = 3 self.save_folder = os.path.join(self.ids.downloadShpPath.text, folder_name) if not os.path.exists(self.save_folder): print('nao existe, criando pasta') os.mkdir(self.save_folder) elif os.path.exists(self.save_folder): print('existe') print(self.manager.get_screen('main').ids.toggle1.state) print(self.manager.get_screen('main').ids.toggle2.state) if self.manager.get_screen('main').ids.toggle1.state == 'down': list_codes = self.manager.get_screen('shapefilescreen').codes if self.manager.get_screen('main').ids.toggle2.state == 'down': print('toggle2 down') list_codes = self.manager.get_screen('bboxscreen').codes print(list_codes) # if self.manager.get_screen('downloadscreen_shp').ids.togglechuva == 'down': # b = 2 # if self.manager.get_screen('downloadscreen_shp').ids.togglevazao == 'down': # b = 3 # else: # b = 3 # print('erro') # list_codes = [] for station in list_codes: api = 'http://telemetriaws1.ana.gov.br/ServiceANA.asmx/HidroSerieHistorica' self.params = {'codEstacao': station, 'dataInicio': '', 'dataFim': '', 'tipoDados': '{}'.format(b), 'nivelConsistencia': ''} url_req = PreparedRequest() url_req.prepare_url(api, self.params) self.req = UrlRequest( url_req.url, on_success=self._download_sucess_vazao, # on_success=self._donwload_teste, on_error=self._download_error, on_failure=self._download_error ) # print(self.req) # self.req.wait() print(station) def _download_sucess_vazao(self, req, result): try: tree = ET.ElementTree(ET.fromstring(result)) root = tree.getroot() list_data = [] list_consistenciaF = [] list_month_dates = [] for i in root.iter('SerieHistorica'): codigo = i.find("EstacaoCodigo").text consistencia = i.find("NivelConsistencia").text date = i.find("DataHora").text date = datetime.datetime.strptime(date, '%Y-%m-%d %H:%M:%S') last_day = calendar.monthrange(date.year, date.month)[1] month_dates = [date + datetime.timedelta(days=i) for i in range(last_day)] data = [] list_consistencia = [] print(self.params['tipoDados']) for day in range(last_day): if self.params['tipoDados'] == '3': value = 'Vazao{:02}'.format(day+1) try: data.append(float(i.find(value).text)) list_consistencia.append(int(consistencia)) except TypeError: data.append(i.find(value).text) list_consistencia.append(int(consistencia)) except AttributeError: data.append(None) list_consistencia.append(int(consistencia)) list_data = list_data + data list_consistenciaF = list_consistenciaF + list_consistencia list_month_dates = list_month_dates + month_dates # typeData = 2 print(list_data) # print(list_month_dates) # print(list_consistenciaF) if len(list_data) > 0: # print(typedata) typedata = self.params['tipoDados'] rows = zip(list_month_dates, list_consistenciaF, list_data) with open(os.path.join(self.save_folder,f'{typedata}_{codigo}.csv'), 'w', newline='') as f: writer = csv.writer(f) writer.writerow(('Date', f'Consistence_{typedata}_{codigo}', f'Data_{typedata}_{codigo}')) for row in rows: writer.writerow(row) except: print('ERRO') class RootApp(App): def build(self): return Builder.load_file('main.kv') RootApp().run()

42.527273

165

0.570329

1,749

16,373

5.202973

0.152087

0.059231

0.056923

0.081319

0.742527

0.72967

0.720769

0.709231

0.687802

0.65044

0

0.007584

0.307457

16,373

384

166

42.638021

0.794955

0.121419

0

0.608541

0

0.003559

0.09947

0.012704

0

1

0.078292

false

0.010676

0.088968

0.003559

0.224199

0.156584

0

null

0

1

0

1

0

null

0

4

bef80c9cea9ac3e26d2e15014d8f66cb78145cf2

99

py

Python

apptSchedule/apps.py

MyMedicalAssistant/MyMedicalAssistant

e03758109167cef13efed7ee1d450dbd18a1fed7

[ "MIT" ]

null

apptSchedule/apps.py

MyMedicalAssistant/MyMedicalAssistant

e03758109167cef13efed7ee1d450dbd18a1fed7

[ "MIT" ]

1

2020-08-05T22:58:28.000Z

apptSchedule/apps.py

MyMedicalAssistant/MyMedicalAssistant

e03758109167cef13efed7ee1d450dbd18a1fed7

[ "MIT" ]

null

from django.apps import AppConfig class ApptscheduleConfig(AppConfig): name = 'apptSchedule'

16.5

36

0.777778

10

99

7.7

0.9

0

0.151515

99

5

37

19.8

0.916667

0

0.121212

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

83457f0b99a40bb668109631db69f0000aa2bba6

1,623

py

Python

tests/test_alphabet.py

bluesheeptoken/CPT

a63db544fdc306515e02245bcd7bc068048da04c

[ "MIT" ]

38

2019-03-25T13:15:03.000Z

2022-03-28T12:32:45.000Z

tests/test_alphabet.py

bluesheeptoken/CPT

a63db544fdc306515e02245bcd7bc068048da04c

[ "MIT" ]

20

2019-03-25T13:09:04.000Z

2022-03-29T16:54:27.000Z

tests/test_alphabet.py

bluesheeptoken/CPT

a63db544fdc306515e02245bcd7bc068048da04c

[ "MIT" ]

3

2020-07-03T16:12:07.000Z

2021-12-28T20:57:24.000Z

import unittest import pickle from cpt.alphabet import Alphabet class AlphabetTest(unittest.TestCase): def setUp(self): self.alphabet = Alphabet() self.alphabet.add_symbol('C') self.alphabet.add_symbol('P') self.alphabet.add_symbol('T') def test_setup(self): self.assertEqual(self.alphabet.length, 3) self.assertEqual(self.alphabet.indexes, {'C': 0, 'P': 1, 'T': 2}) self.assertEqual(self.alphabet.symbols, ['C', 'P', 'T']) def test_get_known_symbol(self): self.assertEqual(self.alphabet.get_symbol(0), 'C') def test_get_unknown_symbol(self): self.assertIsNone(self.alphabet.get_symbol(42)) def test_get_known_index(self): self.assertEqual(self.alphabet.get_index('P'), 1) def test_get_unknown_index(self): self.assertEqual(self.alphabet.get_index('X'), -1) def test_add_known_symbol(self): self.assertEqual(self.alphabet.add_symbol('P'), 1) self.assertEqual(self.alphabet.length, 3) def test_add_unknown_symbol(self): self.assertEqual(self.alphabet.add_symbol('X'), 3) self.assertEqual(self.alphabet.length, 4) def test_richcmp(self): self.assertNotEqual(self.alphabet, Alphabet()) alphabet = Alphabet() alphabet.add_symbol('C') alphabet.add_symbol('P') alphabet.add_symbol('T') self.assertEqual(self.alphabet, alphabet) def test_pickle(self): pickled = pickle.dumps(self.alphabet) unpickled_alphabet = pickle.loads(pickled) self.assertEqual(self.alphabet, unpickled_alphabet)

31.211538

73

0.667899

206

1,623

5.092233

0.194175

0.21735

0.308866

0.367969

0.28408

0.216397

0.171592

0

0.010031

0.201479

1,623

51

74

31.823529

0.799383

0

0.052632

0

0.010474

0

0.368421

1

0.263158

false

0

0.078947

0

0.368421

0

null

1

0

null

0

1

0

4

8348d6a83d08cf786a1da36c935a946e54c3db77

20,841

py

Python

moose/ida/mips_identify_syscalls.py

H1d3r/malware-research

b2dad2a7d2e6fd3d469002a864ad5714906ea8e7

[ "BSD-2-Clause" ]

322

2015-02-28T10:22:31.000Z

2022-03-08T16:29:55.000Z

moose/ida/mips_identify_syscalls.py

XXXHakuna-MatataXXX/malware-research

8d0005fc4d29d08063e6c5b0c433c6faa0536659

[ "BSD-2-Clause" ]

4

2015-05-26T21:06:53.000Z

2021-03-04T20:56:15.000Z

moose/ida/mips_identify_syscalls.py

XXXHakuna-MatataXXX/malware-research

8d0005fc4d29d08063e6c5b0c433c6faa0536659

[ "BSD-2-Clause" ]

85

2015-01-09T12:10:25.000Z

2022-03-05T18:23:25.000Z

#!/usr/bin/env python # # Code related to ESET's Linux/Moose research # For feedback or questions contact us at: github@eset.com # https://github.com/eset/malware-research/ # # This code is provided to the community under the two-clause BSD license as # follows: # # Copyright (C) 2015 ESET # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # 1. Redistributions of source code must retain the above copyright notice, this # list of conditions and the following disclaimer. # # 2. Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR # SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, # OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # # Olivier Bilodeau <bilodeau@eset.com> # # Place a comment in IDA describing the syscall for MIPS with o32 ABI # # example syscall: # move $a0, $s0 # li $a1, 9 # li $v0, 4037 # syscall 0 # kill # 4037 is the syscall number which is kill # DEBUG = False # syscalls taken from: # http://git.linux-mips.org/cgit/ralf/linux.git/plain/arch/mips/include/uapi/asm/unistd.h # and processed with syscalls-to-dict.sh and then inlined here __NR_Linux = 4000 syscall_table = dict() syscall_table[(__NR_Linux+0)] = "__NR_syscall" syscall_table[(__NR_Linux+1)] = "__NR_exit" syscall_table[(__NR_Linux+2)] = "__NR_fork" syscall_table[(__NR_Linux+3)] = "__NR_read" syscall_table[(__NR_Linux+4)] = "__NR_write" syscall_table[(__NR_Linux+5)] = "__NR_open" syscall_table[(__NR_Linux+6)] = "__NR_close" syscall_table[(__NR_Linux+7)] = "__NR_waitpid" syscall_table[(__NR_Linux+8)] = "__NR_creat" syscall_table[(__NR_Linux+9)] = "__NR_link" syscall_table[(__NR_Linux+10)] = "__NR_unlink" syscall_table[(__NR_Linux+11)] = "__NR_execve" syscall_table[(__NR_Linux+12)] = "__NR_chdir" syscall_table[(__NR_Linux+13)] = "__NR_time" syscall_table[(__NR_Linux+14)] = "__NR_mknod" syscall_table[(__NR_Linux+15)] = "__NR_chmod" syscall_table[(__NR_Linux+16)] = "__NR_lchown" syscall_table[(__NR_Linux+17)] = "__NR_break" syscall_table[(__NR_Linux+18)] = "__NR_unused18" syscall_table[(__NR_Linux+19)] = "__NR_lseek" syscall_table[(__NR_Linux+20)] = "__NR_getpid" syscall_table[(__NR_Linux+21)] = "__NR_mount" syscall_table[(__NR_Linux+22)] = "__NR_umount" syscall_table[(__NR_Linux+23)] = "__NR_setuid" syscall_table[(__NR_Linux+24)] = "__NR_getuid" syscall_table[(__NR_Linux+25)] = "__NR_stime" syscall_table[(__NR_Linux+26)] = "__NR_ptrace" syscall_table[(__NR_Linux+27)] = "__NR_alarm" syscall_table[(__NR_Linux+28)] = "__NR_unused28" syscall_table[(__NR_Linux+29)] = "__NR_pause" syscall_table[(__NR_Linux+30)] = "__NR_utime" syscall_table[(__NR_Linux+31)] = "__NR_stty" syscall_table[(__NR_Linux+32)] = "__NR_gtty" syscall_table[(__NR_Linux+33)] = "__NR_access" syscall_table[(__NR_Linux+34)] = "__NR_nice" syscall_table[(__NR_Linux+35)] = "__NR_ftime" syscall_table[(__NR_Linux+36)] = "__NR_sync" syscall_table[(__NR_Linux+37)] = "__NR_kill" syscall_table[(__NR_Linux+38)] = "__NR_rename" syscall_table[(__NR_Linux+39)] = "__NR_mkdir" syscall_table[(__NR_Linux+40)] = "__NR_rmdir" syscall_table[(__NR_Linux+41)] = "__NR_dup" syscall_table[(__NR_Linux+42)] = "__NR_pipe" syscall_table[(__NR_Linux+43)] = "__NR_times" syscall_table[(__NR_Linux+44)] = "__NR_prof" syscall_table[(__NR_Linux+45)] = "__NR_brk" syscall_table[(__NR_Linux+46)] = "__NR_setgid" syscall_table[(__NR_Linux+47)] = "__NR_getgid" syscall_table[(__NR_Linux+48)] = "__NR_signal" syscall_table[(__NR_Linux+49)] = "__NR_geteuid" syscall_table[(__NR_Linux+50)] = "__NR_getegid" syscall_table[(__NR_Linux+51)] = "__NR_acct" syscall_table[(__NR_Linux+52)] = "__NR_umount2" syscall_table[(__NR_Linux+53)] = "__NR_lock" syscall_table[(__NR_Linux+54)] = "__NR_ioctl" syscall_table[(__NR_Linux+55)] = "__NR_fcntl" syscall_table[(__NR_Linux+56)] = "__NR_mpx" syscall_table[(__NR_Linux+57)] = "__NR_setpgid" syscall_table[(__NR_Linux+58)] = "__NR_ulimit" syscall_table[(__NR_Linux+59)] = "__NR_unused59" syscall_table[(__NR_Linux+60)] = "__NR_umask" syscall_table[(__NR_Linux+61)] = "__NR_chroot" syscall_table[(__NR_Linux+62)] = "__NR_ustat" syscall_table[(__NR_Linux+63)] = "__NR_dup2" syscall_table[(__NR_Linux+64)] = "__NR_getppid" syscall_table[(__NR_Linux+65)] = "__NR_getpgrp" syscall_table[(__NR_Linux+66)] = "__NR_setsid" syscall_table[(__NR_Linux+67)] = "__NR_sigaction" syscall_table[(__NR_Linux+68)] = "__NR_sgetmask" syscall_table[(__NR_Linux+69)] = "__NR_ssetmask" syscall_table[(__NR_Linux+70)] = "__NR_setreuid" syscall_table[(__NR_Linux+71)] = "__NR_setregid" syscall_table[(__NR_Linux+72)] = "__NR_sigsuspend" syscall_table[(__NR_Linux+73)] = "__NR_sigpending" syscall_table[(__NR_Linux+74)] = "__NR_sethostname" syscall_table[(__NR_Linux+75)] = "__NR_setrlimit" syscall_table[(__NR_Linux+76)] = "__NR_getrlimit" syscall_table[(__NR_Linux+77)] = "__NR_getrusage" syscall_table[(__NR_Linux+78)] = "__NR_gettimeofday" syscall_table[(__NR_Linux+79)] = "__NR_settimeofday" syscall_table[(__NR_Linux+80)] = "__NR_getgroups" syscall_table[(__NR_Linux+81)] = "__NR_setgroups" syscall_table[(__NR_Linux+82)] = "__NR_reserved82" syscall_table[(__NR_Linux+83)] = "__NR_symlink" syscall_table[(__NR_Linux+84)] = "__NR_unused84" syscall_table[(__NR_Linux+85)] = "__NR_readlink" syscall_table[(__NR_Linux+86)] = "__NR_uselib" syscall_table[(__NR_Linux+87)] = "__NR_swapon" syscall_table[(__NR_Linux+88)] = "__NR_reboot" syscall_table[(__NR_Linux+89)] = "__NR_readdir" syscall_table[(__NR_Linux+90)] = "__NR_mmap" syscall_table[(__NR_Linux+91)] = "__NR_munmap" syscall_table[(__NR_Linux+92)] = "__NR_truncate" syscall_table[(__NR_Linux+93)] = "__NR_ftruncate" syscall_table[(__NR_Linux+94)] = "__NR_fchmod" syscall_table[(__NR_Linux+95)] = "__NR_fchown" syscall_table[(__NR_Linux+96)] = "__NR_getpriority" syscall_table[(__NR_Linux+97)] = "__NR_setpriority" syscall_table[(__NR_Linux+98)] = "__NR_profil" syscall_table[(__NR_Linux+99)] = "__NR_statfs" syscall_table[(__NR_Linux+100)] = "__NR_fstatfs" syscall_table[(__NR_Linux+101)] = "__NR_ioperm" syscall_table[(__NR_Linux+102)] = "__NR_socketcall" syscall_table[(__NR_Linux+103)] = "__NR_syslog" syscall_table[(__NR_Linux+104)] = "__NR_setitimer" syscall_table[(__NR_Linux+105)] = "__NR_getitimer" syscall_table[(__NR_Linux+106)] = "__NR_stat" syscall_table[(__NR_Linux+107)] = "__NR_lstat" syscall_table[(__NR_Linux+108)] = "__NR_fstat" syscall_table[(__NR_Linux+109)] = "__NR_unused109" syscall_table[(__NR_Linux+110)] = "__NR_iopl" syscall_table[(__NR_Linux+111)] = "__NR_vhangup" syscall_table[(__NR_Linux+112)] = "__NR_idle" syscall_table[(__NR_Linux+113)] = "__NR_vm86" syscall_table[(__NR_Linux+114)] = "__NR_wait4" syscall_table[(__NR_Linux+115)] = "__NR_swapoff" syscall_table[(__NR_Linux+116)] = "__NR_sysinfo" syscall_table[(__NR_Linux+117)] = "__NR_ipc" syscall_table[(__NR_Linux+118)] = "__NR_fsync" syscall_table[(__NR_Linux+119)] = "__NR_sigreturn" syscall_table[(__NR_Linux+120)] = "__NR_clone" syscall_table[(__NR_Linux+121)] = "__NR_setdomainname" syscall_table[(__NR_Linux+122)] = "__NR_uname" syscall_table[(__NR_Linux+123)] = "__NR_modify_ldt" syscall_table[(__NR_Linux+124)] = "__NR_adjtimex" syscall_table[(__NR_Linux+125)] = "__NR_mprotect" syscall_table[(__NR_Linux+126)] = "__NR_sigprocmask" syscall_table[(__NR_Linux+127)] = "__NR_create_module" syscall_table[(__NR_Linux+128)] = "__NR_init_module" syscall_table[(__NR_Linux+129)] = "__NR_delete_module" syscall_table[(__NR_Linux+130)] = "__NR_get_kernel_syms" syscall_table[(__NR_Linux+131)] = "__NR_quotactl" syscall_table[(__NR_Linux+132)] = "__NR_getpgid" syscall_table[(__NR_Linux+133)] = "__NR_fchdir" syscall_table[(__NR_Linux+134)] = "__NR_bdflush" syscall_table[(__NR_Linux+135)] = "__NR_sysfs" syscall_table[(__NR_Linux+136)] = "__NR_personality" syscall_table[(__NR_Linux+137)] = "__NR_afs_syscall" syscall_table[(__NR_Linux+138)] = "__NR_setfsuid" syscall_table[(__NR_Linux+139)] = "__NR_setfsgid" syscall_table[(__NR_Linux+140)] = "__NR__llseek" syscall_table[(__NR_Linux+141)] = "__NR_getdents" syscall_table[(__NR_Linux+142)] = "__NR__newselect" syscall_table[(__NR_Linux+143)] = "__NR_flock" syscall_table[(__NR_Linux+144)] = "__NR_msync" syscall_table[(__NR_Linux+145)] = "__NR_readv" syscall_table[(__NR_Linux+146)] = "__NR_writev" syscall_table[(__NR_Linux+147)] = "__NR_cacheflush" syscall_table[(__NR_Linux+148)] = "__NR_cachectl" syscall_table[(__NR_Linux+149)] = "__NR_sysmips" syscall_table[(__NR_Linux+150)] = "__NR_unused150" syscall_table[(__NR_Linux+151)] = "__NR_getsid" syscall_table[(__NR_Linux+152)] = "__NR_fdatasync" syscall_table[(__NR_Linux+153)] = "__NR__sysctl" syscall_table[(__NR_Linux+154)] = "__NR_mlock" syscall_table[(__NR_Linux+155)] = "__NR_munlock" syscall_table[(__NR_Linux+156)] = "__NR_mlockall" syscall_table[(__NR_Linux+157)] = "__NR_munlockall" syscall_table[(__NR_Linux+158)] = "__NR_sched_setparam" syscall_table[(__NR_Linux+159)] = "__NR_sched_getparam" syscall_table[(__NR_Linux+160)] = "__NR_sched_setscheduler" syscall_table[(__NR_Linux+161)] = "__NR_sched_getscheduler" syscall_table[(__NR_Linux+162)] = "__NR_sched_yield" syscall_table[(__NR_Linux+163)] = "__NR_sched_get_priority_max" syscall_table[(__NR_Linux+164)] = "__NR_sched_get_priority_min" syscall_table[(__NR_Linux+165)] = "__NR_sched_rr_get_interval" syscall_table[(__NR_Linux+166)] = "__NR_nanosleep" syscall_table[(__NR_Linux+167)] = "__NR_mremap" syscall_table[(__NR_Linux+168)] = "__NR_accept" syscall_table[(__NR_Linux+169)] = "__NR_bind" syscall_table[(__NR_Linux+170)] = "__NR_connect" syscall_table[(__NR_Linux+171)] = "__NR_getpeername" syscall_table[(__NR_Linux+172)] = "__NR_getsockname" syscall_table[(__NR_Linux+173)] = "__NR_getsockopt" syscall_table[(__NR_Linux+174)] = "__NR_listen" syscall_table[(__NR_Linux+175)] = "__NR_recv" syscall_table[(__NR_Linux+176)] = "__NR_recvfrom" syscall_table[(__NR_Linux+177)] = "__NR_recvmsg" syscall_table[(__NR_Linux+178)] = "__NR_send" syscall_table[(__NR_Linux+179)] = "__NR_sendmsg" syscall_table[(__NR_Linux+180)] = "__NR_sendto" syscall_table[(__NR_Linux+181)] = "__NR_setsockopt" syscall_table[(__NR_Linux+182)] = "__NR_shutdown" syscall_table[(__NR_Linux+183)] = "__NR_socket" syscall_table[(__NR_Linux+184)] = "__NR_socketpair" syscall_table[(__NR_Linux+185)] = "__NR_setresuid" syscall_table[(__NR_Linux+186)] = "__NR_getresuid" syscall_table[(__NR_Linux+187)] = "__NR_query_module" syscall_table[(__NR_Linux+188)] = "__NR_poll" syscall_table[(__NR_Linux+189)] = "__NR_nfsservctl" syscall_table[(__NR_Linux+190)] = "__NR_setresgid" syscall_table[(__NR_Linux+191)] = "__NR_getresgid" syscall_table[(__NR_Linux+192)] = "__NR_prctl" syscall_table[(__NR_Linux+193)] = "__NR_rt_sigreturn" syscall_table[(__NR_Linux+194)] = "__NR_rt_sigaction" syscall_table[(__NR_Linux+195)] = "__NR_rt_sigprocmask" syscall_table[(__NR_Linux+196)] = "__NR_rt_sigpending" syscall_table[(__NR_Linux+197)] = "__NR_rt_sigtimedwait" syscall_table[(__NR_Linux+198)] = "__NR_rt_sigqueueinfo" syscall_table[(__NR_Linux+199)] = "__NR_rt_sigsuspend" syscall_table[(__NR_Linux+200)] = "__NR_pread64" syscall_table[(__NR_Linux+201)] = "__NR_pwrite64" syscall_table[(__NR_Linux+202)] = "__NR_chown" syscall_table[(__NR_Linux+203)] = "__NR_getcwd" syscall_table[(__NR_Linux+204)] = "__NR_capget" syscall_table[(__NR_Linux+205)] = "__NR_capset" syscall_table[(__NR_Linux+206)] = "__NR_sigaltstack" syscall_table[(__NR_Linux+207)] = "__NR_sendfile" syscall_table[(__NR_Linux+208)] = "__NR_getpmsg" syscall_table[(__NR_Linux+209)] = "__NR_putpmsg" syscall_table[(__NR_Linux+210)] = "__NR_mmap2" syscall_table[(__NR_Linux+211)] = "__NR_truncate64" syscall_table[(__NR_Linux+212)] = "__NR_ftruncate64" syscall_table[(__NR_Linux+213)] = "__NR_stat64" syscall_table[(__NR_Linux+214)] = "__NR_lstat64" syscall_table[(__NR_Linux+215)] = "__NR_fstat64" syscall_table[(__NR_Linux+216)] = "__NR_pivot_root" syscall_table[(__NR_Linux+217)] = "__NR_mincore" syscall_table[(__NR_Linux+218)] = "__NR_madvise" syscall_table[(__NR_Linux+219)] = "__NR_getdents64" syscall_table[(__NR_Linux+220)] = "__NR_fcntl64" syscall_table[(__NR_Linux+221)] = "__NR_reserved221" syscall_table[(__NR_Linux+222)] = "__NR_gettid" syscall_table[(__NR_Linux+223)] = "__NR_readahead" syscall_table[(__NR_Linux+224)] = "__NR_setxattr" syscall_table[(__NR_Linux+225)] = "__NR_lsetxattr" syscall_table[(__NR_Linux+226)] = "__NR_fsetxattr" syscall_table[(__NR_Linux+227)] = "__NR_getxattr" syscall_table[(__NR_Linux+228)] = "__NR_lgetxattr" syscall_table[(__NR_Linux+229)] = "__NR_fgetxattr" syscall_table[(__NR_Linux+230)] = "__NR_listxattr" syscall_table[(__NR_Linux+231)] = "__NR_llistxattr" syscall_table[(__NR_Linux+232)] = "__NR_flistxattr" syscall_table[(__NR_Linux+233)] = "__NR_removexattr" syscall_table[(__NR_Linux+234)] = "__NR_lremovexattr" syscall_table[(__NR_Linux+235)] = "__NR_fremovexattr" syscall_table[(__NR_Linux+236)] = "__NR_tkill" syscall_table[(__NR_Linux+237)] = "__NR_sendfile64" syscall_table[(__NR_Linux+238)] = "__NR_futex" syscall_table[(__NR_Linux+239)] = "__NR_sched_setaffinity" syscall_table[(__NR_Linux+240)] = "__NR_sched_getaffinity" syscall_table[(__NR_Linux+241)] = "__NR_io_setup" syscall_table[(__NR_Linux+242)] = "__NR_io_destroy" syscall_table[(__NR_Linux+243)] = "__NR_io_getevents" syscall_table[(__NR_Linux+244)] = "__NR_io_submit" syscall_table[(__NR_Linux+245)] = "__NR_io_cancel" syscall_table[(__NR_Linux+246)] = "__NR_exit_group" syscall_table[(__NR_Linux+247)] = "__NR_lookup_dcookie" syscall_table[(__NR_Linux+248)] = "__NR_epoll_create" syscall_table[(__NR_Linux+249)] = "__NR_epoll_ctl" syscall_table[(__NR_Linux+250)] = "__NR_epoll_wait" syscall_table[(__NR_Linux+251)] = "__NR_remap_file_pages" syscall_table[(__NR_Linux+252)] = "__NR_set_tid_address" syscall_table[(__NR_Linux+253)] = "__NR_restart_syscall" syscall_table[(__NR_Linux+254)] = "__NR_fadvise64" syscall_table[(__NR_Linux+255)] = "__NR_statfs64" syscall_table[(__NR_Linux+256)] = "__NR_fstatfs64" syscall_table[(__NR_Linux+257)] = "__NR_timer_create" syscall_table[(__NR_Linux+258)] = "__NR_timer_settime" syscall_table[(__NR_Linux+259)] = "__NR_timer_gettime" syscall_table[(__NR_Linux+260)] = "__NR_timer_getoverrun" syscall_table[(__NR_Linux+261)] = "__NR_timer_delete" syscall_table[(__NR_Linux+262)] = "__NR_clock_settime" syscall_table[(__NR_Linux+263)] = "__NR_clock_gettime" syscall_table[(__NR_Linux+264)] = "__NR_clock_getres" syscall_table[(__NR_Linux+265)] = "__NR_clock_nanosleep" syscall_table[(__NR_Linux+266)] = "__NR_tgkill" syscall_table[(__NR_Linux+267)] = "__NR_utimes" syscall_table[(__NR_Linux+268)] = "__NR_mbind" syscall_table[(__NR_Linux+269)] = "__NR_get_mempolicy" syscall_table[(__NR_Linux+270)] = "__NR_set_mempolicy" syscall_table[(__NR_Linux+271)] = "__NR_mq_open" syscall_table[(__NR_Linux+272)] = "__NR_mq_unlink" syscall_table[(__NR_Linux+273)] = "__NR_mq_timedsend" syscall_table[(__NR_Linux+274)] = "__NR_mq_timedreceive" syscall_table[(__NR_Linux+275)] = "__NR_mq_notify" syscall_table[(__NR_Linux+276)] = "__NR_mq_getsetattr" syscall_table[(__NR_Linux+277)] = "__NR_vserver" syscall_table[(__NR_Linux+278)] = "__NR_waitid" syscall_table[(__NR_Linux+280)] = "__NR_add_key" syscall_table[(__NR_Linux+281)] = "__NR_request_key" syscall_table[(__NR_Linux+282)] = "__NR_keyctl" syscall_table[(__NR_Linux+283)] = "__NR_set_thread_area" syscall_table[(__NR_Linux+284)] = "__NR_inotify_init" syscall_table[(__NR_Linux+285)] = "__NR_inotify_add_watch" syscall_table[(__NR_Linux+286)] = "__NR_inotify_rm_watch" syscall_table[(__NR_Linux+287)] = "__NR_migrate_pages" syscall_table[(__NR_Linux+288)] = "__NR_openat" syscall_table[(__NR_Linux+289)] = "__NR_mkdirat" syscall_table[(__NR_Linux+290)] = "__NR_mknodat" syscall_table[(__NR_Linux+291)] = "__NR_fchownat" syscall_table[(__NR_Linux+292)] = "__NR_futimesat" syscall_table[(__NR_Linux+293)] = "__NR_fstatat64" syscall_table[(__NR_Linux+294)] = "__NR_unlinkat" syscall_table[(__NR_Linux+295)] = "__NR_renameat" syscall_table[(__NR_Linux+296)] = "__NR_linkat" syscall_table[(__NR_Linux+297)] = "__NR_symlinkat" syscall_table[(__NR_Linux+298)] = "__NR_readlinkat" syscall_table[(__NR_Linux+299)] = "__NR_fchmodat" syscall_table[(__NR_Linux+300)] = "__NR_faccessat" syscall_table[(__NR_Linux+301)] = "__NR_pselect6" syscall_table[(__NR_Linux+302)] = "__NR_ppoll" syscall_table[(__NR_Linux+303)] = "__NR_unshare" syscall_table[(__NR_Linux+304)] = "__NR_splice" syscall_table[(__NR_Linux+305)] = "__NR_sync_file_range" syscall_table[(__NR_Linux+306)] = "__NR_tee" syscall_table[(__NR_Linux+307)] = "__NR_vmsplice" syscall_table[(__NR_Linux+308)] = "__NR_move_pages" syscall_table[(__NR_Linux+309)] = "__NR_set_robust_list" syscall_table[(__NR_Linux+310)] = "__NR_get_robust_list" syscall_table[(__NR_Linux+311)] = "__NR_kexec_load" syscall_table[(__NR_Linux+312)] = "__NR_getcpu" syscall_table[(__NR_Linux+313)] = "__NR_epoll_pwait" syscall_table[(__NR_Linux+314)] = "__NR_ioprio_set" syscall_table[(__NR_Linux+315)] = "__NR_ioprio_get" syscall_table[(__NR_Linux+316)] = "__NR_utimensat" syscall_table[(__NR_Linux+317)] = "__NR_signalfd" syscall_table[(__NR_Linux+318)] = "__NR_timerfd" syscall_table[(__NR_Linux+319)] = "__NR_eventfd" syscall_table[(__NR_Linux+320)] = "__NR_fallocate" syscall_table[(__NR_Linux+321)] = "__NR_timerfd_create" syscall_table[(__NR_Linux+322)] = "__NR_timerfd_gettime" syscall_table[(__NR_Linux+323)] = "__NR_timerfd_settime" syscall_table[(__NR_Linux+324)] = "__NR_signalfd4" syscall_table[(__NR_Linux+325)] = "__NR_eventfd2" syscall_table[(__NR_Linux+326)] = "__NR_epoll_create1" syscall_table[(__NR_Linux+327)] = "__NR_dup3" syscall_table[(__NR_Linux+328)] = "__NR_pipe2" syscall_table[(__NR_Linux+329)] = "__NR_inotify_init1" syscall_table[(__NR_Linux+330)] = "__NR_preadv" syscall_table[(__NR_Linux+331)] = "__NR_pwritev" syscall_table[(__NR_Linux+332)] = "__NR_rt_tgsigqueueinfo" syscall_table[(__NR_Linux+333)] = "__NR_perf_event_open" syscall_table[(__NR_Linux+334)] = "__NR_accept4" syscall_table[(__NR_Linux+335)] = "__NR_recvmmsg" syscall_table[(__NR_Linux+336)] = "__NR_fanotify_init" syscall_table[(__NR_Linux+337)] = "__NR_fanotify_mark" syscall_table[(__NR_Linux+338)] = "__NR_prlimit64" syscall_table[(__NR_Linux+339)] = "__NR_name_to_handle_at" syscall_table[(__NR_Linux+340)] = "__NR_open_by_handle_at" syscall_table[(__NR_Linux+341)] = "__NR_clock_adjtime" syscall_table[(__NR_Linux+342)] = "__NR_syncfs" syscall_table[(__NR_Linux+343)] = "__NR_sendmmsg" syscall_table[(__NR_Linux+344)] = "__NR_setns" syscall_table[(__NR_Linux+345)] = "__NR_process_vm_readv" syscall_table[(__NR_Linux+346)] = "__NR_process_vm_writev" syscall_table[(__NR_Linux+347)] = "__NR_kcmp" syscall_table[(__NR_Linux+348)] = "__NR_finit_module" syscall_table[(__NR_Linux+349)] = "__NR_sched_setattr" syscall_table[(__NR_Linux+350)] = "__NR_sched_getattr" syscall_table[(__NR_Linux+351)] = "__NR_renameat2" syscall_table[(__NR_Linux+352)] = "__NR_seccomp" syscall_table[(__NR_Linux+353)] = "__NR_getrandom" syscall_table[(__NR_Linux+354)] = "__NR_memfd_create" syscall_table[(__NR_Linux+355)] = "__NR_bpf" def debug(text): if DEBUG: print text ea = ScreenEA() seg_ea = SegStart(ea) for addr in Heads(seg_ea, SegEnd(seg_ea)): if isCode(GetFlags(addr)): mne = GetMnem(addr) if mne == "syscall": prev_head = PrevHead(addr, seg_ea) if GetOpnd(prev_head, 0) == "$v0": # second operand is our syscall number syscall_id = GetOperandValue(prev_head, 1) if syscall_id == -1: raise Exception("Invalid operand value") syscall = syscall_table[syscall_id] debug("syscall: {}/{} at {}".format(syscall_id, syscall, hex(addr))) # identify syscall in comments MakeRptCmt(addr, syscall) else: print("previous instruction is not about $v0, " \ "investigate: {}").format(hex(addr))

47.582192

89

0.767046

3,008

20,841

4.445479

0.307513

0.320371

0.371672

0.504412

0.118307

0.018546

0.010171

0

0.05506

0.084977

20,841

437

90

47.691076

0.646146

0.095917

0

0.261228

0.01937

0

null

0

null

0.005277

0

null

1

0

null

0

1

0

4

55cfd558772756bca9854a49d7750d4639610350

133

py

Python

2dlist.py

litesh1998/Python3-programs

ab2dd9900bdf686f650024e2c224b568a70477b6

[ "MIT" ]

null

2dlist.py

litesh1998/Python3-programs

ab2dd9900bdf686f650024e2c224b568a70477b6

[ "MIT" ]

null

2dlist.py

litesh1998/Python3-programs

ab2dd9900bdf686f650024e2c224b568a70477b6

[ "MIT" ]

null

lf=[] for i in range(2): l=[int(i) for i in input().strip().split()] lf.append(l) print(lf) for i in lf: print(i)

16.625

48

0.526316

26

133

2.692308

0.5

0.171429

0.257143

0.228571

0

0.010309

0.270677

133

7

49

19

0.71134

0

1

0

false

0

0.285714

1

0

null

0

1

0

1

0

null

0

4

55f136bc3b81b04c130766f018259a9f1324c326

84

py

Python

src/waldur_openstack/openstack_tenant/__init__.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

26

2017-10-18T13:49:58.000Z

2021-09-19T04:44:09.000Z

src/waldur_openstack/openstack_tenant/__init__.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

14

2018-12-10T14:14:51.000Z

2021-06-07T10:33:39.000Z

src/waldur_openstack/openstack_tenant/__init__.py

geant-multicloud/MCMS-mastermind

81333180f5e56a0bc88d7dad448505448e01f24e

[ "MIT" ]

32

2017-09-24T03:10:45.000Z

2021-10-16T16:41:09.000Z

default_app_config = 'waldur_openstack.openstack_tenant.apps.OpenStackTenantConfig'

42

83

0.892857

9

84

7.888889

0.888889

0

0.035714

84

1

84

0.876543

0

0.714286

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

55f610986bda865aaa74036a78dfc7ac9f37ed93

255

py

Python

python_basic_part_1/8.py

EmilianStoyanov/python_exercises_practice_solution

ed0c4a638d0e3510d61344d1ff6d8a47891253b6

[ "MIT" ]

null

python_basic_part_1/8.py

EmilianStoyanov/python_exercises_practice_solution

ed0c4a638d0e3510d61344d1ff6d8a47891253b6

[ "MIT" ]

null

python_basic_part_1/8.py

EmilianStoyanov/python_exercises_practice_solution

ed0c4a638d0e3510d61344d1ff6d8a47891253b6

[ "MIT" ]

null

color_list = ["Red", "Green", "White", "Black"] print("%s %s" % (color_list[0], color_list[-1])) """ Write a Python program to display the first and last colors from the following list. Go to the editor color_list = ["Red","Green","White" ,"Black"] """

28.333333

69

0.654902

40

255

4.075

0.625

0.220859

0.147239

0.208589

0.331288

0

0.009217

0.14902

255

8

70

31.875

0.741935

0

0.232323

0

1

0

false

0

0.5

0

null

1

0

1

0

1

0

null

0

1

0

4

360222d382a7db34e93416f7fd0de5c4f39b0697

5,550

py

Python

lorikeet/migrations/0001_initial.py

excitedleigh/lorikeet

fe99cf4557736891f2a0e951f0f748074d5e02d4

[ "MIT" ]

6

2020-02-15T19:22:30.000Z

2020-12-27T10:58:58.000Z

lorikeet/migrations/0001_initial.py

excitedleigh/lorikeet

fe99cf4557736891f2a0e951f0f748074d5e02d4

[ "MIT" ]

79

2019-12-29T22:13:51.000Z

2022-03-30T23:12:37.000Z

lorikeet/migrations/0001_initial.py

excitedleigh/lorikeet

fe99cf4557736891f2a0e951f0f748074d5e02d4

[ "MIT" ]

2

2019-12-29T22:06:19.000Z

2020-08-27T20:30:47.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.9.9 on 2016-12-13 01:24 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name="Cart", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "user", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, ), ), ], ), migrations.CreateModel( name="DeliveryAddress", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "user", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, ), ), ], ), migrations.CreateModel( name="LineItem", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "cart", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="items", to="lorikeet.Cart", ), ), ], ), migrations.CreateModel( name="Order", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ("custom_invoice_id", models.CharField(max_length=255)), ("guest_email", models.EmailField(blank=True, max_length=254)), ( "delivery_address", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="lorikeet.DeliveryAddress", ), ), ], ), migrations.CreateModel( name="Payment", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ], ), migrations.CreateModel( name="PaymentMethod", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "user", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, ), ), ], ), migrations.AddField( model_name="payment", name="method", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="lorikeet.PaymentMethod" ), ), migrations.AddField( model_name="order", name="payment", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to="lorikeet.Payment" ), ), migrations.AddField( model_name="order", name="user", field=models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, ), ), migrations.AddField( model_name="lineitem", name="order", field=models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, related_name="items", to="lorikeet.Order", ), ), ]

30.662983

88

0.375856

358

5,550

5.673184

0.217877

0.043328

0.068932

0.108321

0.687346

0.651896

0

0.008567

0.537297

5,550

180

89

30.833333

0.782321

0.012072

0

0.75

1

0

0.05146

0.008394

0

1

0

false

0

0.023256

0

0.046512

0

null

0

1

0

1

0

1

0

null

0

4

3616f709b22d4e0ad00f5394ba17efd2c32c5375

366

py

Python

ProjectSystem/admin_resign/form.py

matthew9602/Project-Management-System

ba74de0bfd4785a46fbe8b332d8bff1e4eb980a9

[ "MIT" ]

1

2021-04-01T17:30:58.000Z

ProjectSystem/admin_resign/form.py

MatthewTsan/Project-Management-System

ba74de0bfd4785a46fbe8b332d8bff1e4eb980a9

[ "MIT" ]

null

ProjectSystem/admin_resign/form.py

MatthewTsan/Project-Management-System

ba74de0bfd4785a46fbe8b332d8bff1e4eb980a9

[ "MIT" ]

null

from django import forms class resign_form(forms.Form): username = forms.CharField(max_length=30) sex = forms.CharField(max_length=30) birthday = forms.CharField(max_length=30) phone = forms.CharField(max_length=30) mobile = forms.CharField(max_length=30) cardname = forms.CharField(max_length=30) level = forms.CharField(max_length=30)

33.272727

45

0.740437

51

366

5.156863

0.352941

0.372624

0.452471

0.612167

0.665399

0

0.045161

0.153005

366

10

46

36.6

0.803226

0

1

0

false

0

0.111111

0

1

0

null

1

0

null

0

1

0

4

36351c5a32e68eb0164ebde680d6471c6f55238d

177

py

Python

proc_scrapy.py

kyle-yu/scrape_on_lianjia

c811eb2ff27374fdfc9ba1823c5253eb1cba4223

[ "MIT" ]

null

proc_scrapy.py

kyle-yu/scrape_on_lianjia

c811eb2ff27374fdfc9ba1823c5253eb1cba4223

[ "MIT" ]

null

proc_scrapy.py

kyle-yu/scrape_on_lianjia

c811eb2ff27374fdfc9ba1823c5253eb1cba4223

[ "MIT" ]

null

import os import sys import subprocess file_object = open('list.txt') for line in file_object: print line p=subprocess.Popen('scrapy crawl -a dt=20150327 dmoz',shell=True)

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3675f653a73588e2b1e69f224113af5e4bb320ef

92

py

Python

sqds_seed/apps.py

abey79/sqds

acab1d9c6d4a010fff9d8e89a5fdd9d94def7c89

[ "MIT" ]

null

sqds_seed/apps.py

abey79/sqds

acab1d9c6d4a010fff9d8e89a5fdd9d94def7c89

[ "MIT" ]

null

sqds_seed/apps.py

abey79/sqds

acab1d9c6d4a010fff9d8e89a5fdd9d94def7c89

[ "MIT" ]

null

from django.apps import AppConfig class SqdsSeedConfig(AppConfig): name = 'sqds_seed'

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36863c23f4ae7c5a5de8f903204ae4fca2e480d7

2,380

py

Python

DailyProgrammer/DP20130416W.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

2

2020-12-23T18:59:22.000Z

2021-04-14T13:16:09.000Z

DailyProgrammer/DP20130416W.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

DailyProgrammer/DP20130416W.py

DayGitH/Python-Challenges

bc32f1332a92fcc2dfa6f5ea4d95f8a8d64c3edf

[ "MIT" ]

null

""" [04/16/13] Week-Long Challenge #1: Make a (tiny) video game! https://www.reddit.com/r/dailyprogrammer/comments/1ch463/041613_weeklong_challenge_1_make_a_tiny_video_game/ # [](#EasyIcon) *(Easy)*: Make a tiny video game! **Please note this is an official week-long challenge; all submissions are due by Monday night, midnight, GMT - 7:00 (American pacific time). Winners announced the following Tuesday evening.** The TI-83+ graphing calculator series is the "ultimate" gaming platform: it has a 96 by 64 glorious pixel screen, four brilliant colors (white, light-grey, dark-grey, and black) per pixel, full keyboard input, and it all fits in the palm of your hand! Best of all, it is a *programmable* calculator, allowing you to make awesome games while sitting in class not listening to your teacher or professor... All jokes aside, this calculator-platform is great for the fact that it's a very simple platform to program and has had a [ton of games](http://www.ticalc.org/pub/83plus/basic/games/) developed for it already. Many young programmers today attribute their passion for programming to how fun the TI-83+ was to develop on! **Your goal is to write a game on whatever hardware and software platform you like, but you must stick with the "look & feel" of the TI-83+**: you can make any game you want using any tools you have, but you may _only_ output to a 96 x 64 pixel screen and _only_ use four grayscale colors. This screen may scale for easier viewing, but the pixel-count should never change. If you do not want to make an interactive game, you are welcomed to make a [demo](http://en.wikipedia.org/wiki/Demo_(computer_programming\)). **We will award the most unique game, most impressive game, and best demo with +1 gold ribbons to your flair. Winners get Reddit Gold.** Since this challenge is very open-ended and may not be clear, I've written a [demo for users to play](http://htmlpreview.github.io/?https://github.com/nint22/JSPhoenix/blob/master/index.htm) and [develop off of](https://github.com/nint22/JSPhoenix). You are welcomed to use this code as a starting point, or just simply start fresh. If you actually end up writing something functional on an actual calculator, try to post a video or pictures! We will roll out silver medals for you if it's a functioning game or demo. """ def main(): pass if __name__ == "__main__": main()

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3689488664cc0c3933a6d5b6b7e7ea42f374d6b2

28

py

Python

porespy/__version__.py

xu-kai-xu/porespy

9df231bfd4010e3a13efc66585474e148cd08d6c

[ "MIT" ]

null

porespy/__version__.py

xu-kai-xu/porespy

9df231bfd4010e3a13efc66585474e148cd08d6c

[ "MIT" ]

null

porespy/__version__.py

xu-kai-xu/porespy

9df231bfd4010e3a13efc66585474e148cd08d6c

[ "MIT" ]

null

__version__ = '2.0.2.dev16'

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null

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36a4b223a307cd9878e2ca0dd153a9619d8580e1

1,907

py

Python

06_Transformacoes_do_Conjunto_de_Dados/6.4_Imputacao_de_Valores_Ausentes/6.4.5_Atribuicao_de_Vizinhos_mais_Proximos.py

BrunoBertti/Scikit_Learning

4b9e10ff7909f3728ac1e8bba19f5fd779340bc4

[ "MIT" ]

null

06_Transformacoes_do_Conjunto_de_Dados/6.4_Imputacao_de_Valores_Ausentes/6.4.5_Atribuicao_de_Vizinhos_mais_Proximos.py

BrunoBertti/Scikit_Learning

4b9e10ff7909f3728ac1e8bba19f5fd779340bc4

[ "MIT" ]

null

06_Transformacoes_do_Conjunto_de_Dados/6.4_Imputacao_de_Valores_Ausentes/6.4.5_Atribuicao_de_Vizinhos_mais_Proximos.py

BrunoBertti/Scikit_Learning

4b9e10ff7909f3728ac1e8bba19f5fd779340bc4

[ "MIT" ]

null

########## 6.4.5. Atribuição de vizinhos mais próximos ########## # A classe KNNImputer fornece imputação para preencher valores ausentes usando a abordagem k-Nearest Neighbors. Por padrão, uma métrica de distância euclidiana que suporta valores ausentes, nan_euclidean_distances, é usada para localizar os vizinhos mais próximos. Cada recurso ausente é imputado usando valores de n_vizinhos vizinhos mais próximos que possuem um valor para o recurso. As características dos vizinhos são calculadas em média uniformemente ou ponderadas pela distância de cada vizinho. Se uma amostra tiver mais de um recurso ausente, os vizinhos dessa amostra podem ser diferentes dependendo do recurso específico que está sendo imputado. Quando o número de vizinhos disponíveis é menor que n_vizinhos e não há distâncias definidas para o conjunto de treinamento, a média do conjunto de treinamento para esse recurso é usada durante a imputação. Se houver pelo menos um vizinho com uma distância definida, a média ponderada ou não ponderada dos vizinhos restantes será utilizada durante a imputação. Se um recurso estiver sempre ausente no treinamento, ele será removido durante a transformação. Para mais informações sobre a metodologia, ver ref. [OL2001]. # O snippet a seguir demonstra como substituir valores ausentes, codificados como np.nan, usando o valor de recurso médio dos dois vizinhos mais próximos de amostras com valores ausentes: import numpy as np from sklearn.impute import KNNImputer nan = np.nan X = [[1, 2, nan], [3, 4, 3], [nan, 6, 5], [8, 8, 7]] imputer = KNNImputer(n_neighbors=2, weights="uniform") imputer.fit_transform(X) ## Referêcias: ## Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown, Trevor Hastie, Robert Tibshirani, David Botstein and Russ B. Altman, Missing value estimation methods for DNA microarrays, BIOINFORMATICS Vol. 17 no. 6, 2001 Pages 520-

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7fc6c4463695b7c526608877f4d2440e4c081573

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gyp

Python

binding.gyp

SalvatorePreviti/roaring-node

6ab16a27d76c0eef9a016c52d72bcb59812a5b50

[ "Apache-2.0" ]

58

2018-06-09T05:46:06.000Z

2022-01-10T11:41:45.000Z

binding.gyp

SalvatorePreviti/roaring-node

6ab16a27d76c0eef9a016c52d72bcb59812a5b50

[ "Apache-2.0" ]

24

2018-06-14T00:28:38.000Z

2022-01-07T22:37:39.000Z

binding.gyp

SalvatorePreviti/roaring-node

6ab16a27d76c0eef9a016c52d72bcb59812a5b50

[ "Apache-2.0" ]

5

2020-04-24T20:06:00.000Z

2022-01-31T07:31:52.000Z

{ "targets": [ { "target_name": "roaring", "default_configuration": "Release", "cflags_cc": ["-O3", "-std=c++14"], "sources": [ "src/cpp/v8utils/v8utils.cpp", "src/cpp/RoaringBitmap32.cpp" ], "conditions": [ [ "OS=='win'", { "configurations": { "Release": { "msvs_settings": { "VCCLCompilerTool": { "AdditionalOptions": ["/std:c++latest", "/Zc:__cplusplus"] } } }, "Debug": { "msvs_settings": { "VCCLCompilerTool": { "AdditionalOptions": ["/std:c++latest", "/Zc:__cplusplus"] } } } } } ] ] } ] }

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null

0

1

0

4

3d0714d90d06760f393370c26f985db039d8cfa8

1,074

py

Python

aoc2019/python/day04.py

austinsalonen/advent_of_code

c085a813511ace023620739f367948c58e7ca5e7

[ "MIT" ]

null

aoc2019/python/day04.py

austinsalonen/advent_of_code

c085a813511ace023620739f367948c58e7ca5e7

[ "MIT" ]

null

aoc2019/python/day04.py

austinsalonen/advent_of_code

c085a813511ace023620739f367948c58e7ca5e7

[ "MIT" ]

null

from functools import reduce def run_length_encode(num): def rle(acc, c): if acc and acc[-1][0] == c: c,n = acc[-1] acc[-1] = (c, n+1) else: acc.append((c,1)) return acc return reduce(rle, str(num), []) assert [('1', 6)] == run_length_encode(111111) def never_decrease(x): return all(a[0] <= b[0] for a,b in zip(x, x[1:])) def is_valid(encoded): def has_pair(ns): return any(n >= 2 for c,n in ns) return has_pair(encoded) and never_decrease(encoded) def not_including_triples(encoded): def has_pair(ns): return any(n == 2 for c,n in ns) return has_pair(encoded) and never_decrease(encoded) assert is_valid(run_length_encode(111111)) assert not is_valid(run_length_encode(223450)) assert not is_valid(run_length_encode(123789)) assert not not_including_triples(run_length_encode(111111)) assert not_including_triples(run_length_encode(111122)) print('part 1 =', sum(1 for n in range(353096, 843212) if is_valid(run_length_encode(n)))) print('part 2 =', sum(1 for n in range(353096, 843212) if not_including_triples(run_length_encode(n))))

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null

0

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4

3d0f5da8f484cd974ba36992cf63e79671b8bf2d

118

py

Python

app/services/iex/rest_api_to_db/__init__.py

Tinitto/crypto-exchange

cb61664ff0119d8120315b8c6feb77aeba0ec050

[ "MIT" ]

null

app/services/iex/rest_api_to_db/__init__.py

Tinitto/crypto-exchange

cb61664ff0119d8120315b8c6feb77aeba0ec050

[ "MIT" ]

null

app/services/iex/rest_api_to_db/__init__.py

Tinitto/crypto-exchange

cb61664ff0119d8120315b8c6feb77aeba0ec050

[ "MIT" ]

null

"""Module containing all the controllers for the rest_api_to_db IEX service""" IEX_REST_API_TO_DB_CONTROLLERS = [ ]

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0.211765

0.258824

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5

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0.610169

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null

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null

0

4

3d118bac865f69734c091263f8416200b6d8b2f5

115

py

Python

guppe/atividades/secao_4/ex009.py

WesleyLucas97/cursos_python

b2cbd393e8fed6e36b84253f7934766f2b4f1de8

[ "MIT" ]

null

guppe/atividades/secao_4/ex009.py

WesleyLucas97/cursos_python

b2cbd393e8fed6e36b84253f7934766f2b4f1de8

[ "MIT" ]

null

guppe/atividades/secao_4/ex009.py

WesleyLucas97/cursos_python

b2cbd393e8fed6e36b84253f7934766f2b4f1de8

[ "MIT" ]

null

c = float(input('Informe a temperatura em Celsius: ')) k = c + 273.15 print(f'A temperatura em Kelvin é de {k}°')

23

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22

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0.363636

0

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1

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null

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3d211e570e3b09bff347c2495216c04333e4385c

285

py

Python

terrascript/resource/alxrem/hdns.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/resource/alxrem/hdns.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/resource/alxrem/hdns.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/resource/alxrem/hdns.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:18:18 UTC) import terrascript class hdns_record(terrascript.Resource): pass class hdns_zone(terrascript.Resource): pass __all__ = [ "hdns_record", "hdns_zone", ]

15.833333

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1

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null

0

1

0

4

3d5486ea8e773196ccfb791035021df33f8e0d17

122

py

Python

scphylo/external/gpps/__init__.py

faridrashidi/scphylo-tools

4574e2c015da58e59caa38e3b3e49b398c1379c1

[ "BSD-3-Clause" ]

null

scphylo/external/gpps/__init__.py

faridrashidi/scphylo-tools

4574e2c015da58e59caa38e3b3e49b398c1379c1

[ "BSD-3-Clause" ]

null

scphylo/external/gpps/__init__.py

faridrashidi/scphylo-tools

4574e2c015da58e59caa38e3b3e49b398c1379c1

[ "BSD-3-Clause" ]

null

"""External gpps Module.""" from ._gpps_hc import gpps_hc from ._gpps_ilp import gpps_ilp __all__ = (gpps_hc, gpps_ilp)

17.428571

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122

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0.4

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0

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122

6

32

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0

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false

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4

e9eeb93c02beb2c401d0d4fd5981249340cb916d

103

py

Python

regtests/list/simple.py

bpmbank/PythonJS

591a80afd8233fb715493591db2b68f1748558d9

[ "BSD-3-Clause" ]

319

2015-01-02T11:34:16.000Z

2022-03-25T00:43:33.000Z

regtests/list/simple.py

AlexRacoon/PythonJS

0bde55dccf3dd5dfe70f31822bcf6257abd33d2a

[ "BSD-3-Clause" ]

10

2015-02-03T02:33:09.000Z

2021-11-09T21:41:00.000Z

regtests/list/simple.py

AlexRacoon/PythonJS

0bde55dccf3dd5dfe70f31822bcf6257abd33d2a

[ "BSD-3-Clause" ]

61

2015-01-02T12:01:56.000Z

2021-12-08T07:16:16.000Z

"""basics""" def main(): a = [1,2,3,4] TestError( len(a)==4 ) #b = list() #TestError( len(b)==0 )

12.875

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a159873c7885437fa9fea9a328c23ca33bfa6935

1,688

py

Python

credentials.py

Ruweydha/Password-Locker

e514945078719e2bee0b720364ae3a569fe1c5ea

[ "MIT" ]

null

credentials.py

Ruweydha/Password-Locker

e514945078719e2bee0b720364ae3a569fe1c5ea

[ "MIT" ]

null

credentials.py

Ruweydha/Password-Locker

e514945078719e2bee0b720364ae3a569fe1c5ea

[ "MIT" ]

null

from keyring import delete_password class Credentials: ''' Class that generates instances of credentials ''' passwords = [] def __init__(self, account, password): ''' __init__ method that helps us define properties for our objects Args: account = New credentials account password = New credentials password ''' self.account = account self.password = password def save_password(self): ''' save_password method that saves credential objects into passwords ''' Credentials.passwords.append(self) def delete_password(self): ''' delete_password method to delete a saved password from the passwords list ''' Credentials.passwords.remove(self) @classmethod def find_by_account(cls, accountName) : ''' Method that takes in account and returns the password that matches the account Args: account: Account to search for Returns: Password of the mentioned account ''' for password in cls.passwords: if password.account == accountName: return password @classmethod def password_exist(cls, accountName) : ''' Method that checks if a password exists from the password list ''' for password in cls.passwords: if password.account == accountName: return True return False @classmethod def display_passwords(cls): ''' Method that displays the passwords list ''' return cls.passwords

28.133333

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a1743cb4543619ffeadbd792f54cf02778642608

574

py

Python

commands/command_config.py

iTechnious/QueueBot

9348eba96f7d2563d212469c04c5adb4f58d6fb0

[ "MIT" ]

1

2020-01-01T19:21:23.000Z

commands/command_config.py

AuxiliumCDNG/QueueBot

9348eba96f7d2563d212469c04c5adb4f58d6fb0

[ "MIT" ]

2

2020-01-12T19:17:27.000Z

2020-01-25T21:18:02.000Z

commands/command_config.py

iTechnious/QueueBot

9348eba96f7d2563d212469c04c5adb4f58d6fb0

[ "MIT" ]

1

2020-01-04T23:13:14.000Z

import discord from funcs import change_prefix, change_queue, change_role, change_text, change_video async def execute(client, message, args): if args[0] == "prefix": await change_prefix.execute(client, message, args) elif args[0] == "queue": await change_queue.execute(client, message, args) elif args[0] == "role": await change_role.execute(client, message, args) elif args[0] == "video": await change_video.execute(client, message, args) elif args[0] == "text": await change_text.execute(client, message, args)

41

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a1d23f857b3e0d965776fc9a092a3b01479cc36a

139

py

Python

reddit2telegram/channels/r_polhumor/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/r_polhumor/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/r_polhumor/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 subreddit = 'PolHumor' t_channel = '@r_PolHumor' def send_post(submission, r2t): return r2t.send_simple(submission)

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null

0

1

0

1

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4

a1d2ed2286aaf0397c93a3316fddcf1b9e6e8329

113

py

Python

metadata.py

GuillaumeRochette/Human36MProcessing

6decb8cbfaaae674fdc59cabf084146b3e8ee892

[ "Apache-2.0" ]

null

metadata.py

GuillaumeRochette/Human36MProcessing

6decb8cbfaaae674fdc59cabf084146b3e8ee892

[ "Apache-2.0" ]

null

metadata.py

GuillaumeRochette/Human36MProcessing

6decb8cbfaaae674fdc59cabf084146b3e8ee892

[ "Apache-2.0" ]

null

SUBJECTS = ["S1", "S5", "S6", "S7", "S8", "S9", "S11"] VIEWS = ["54138969", "55011271", "58860488", "60457274"]

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4

a1e169b6d92e4a9370b1ba1a559061a06271c8a1

118

py

Python

external/renderWinFix.py

aaronfang/small-Scripts

890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d

[ "MIT" ]

1

2018-03-08T16:34:00.000Z

external/renderWinFix.py

aaronfang/personal_scripts

890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d

[ "MIT" ]

null

external/renderWinFix.py

aaronfang/personal_scripts

890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d

[ "MIT" ]

null

from pymel.core import * import maya.mel as mel deleteUI('unifiedRenderGlobalsWindow') mel.eval('buildNewSceneUI;')

19.666667

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0.788136

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118

6.642857

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0.101695

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5

39

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null

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1

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null

0

1

0

1

0

4

b807278e60b50c5e79811efda7e30019317f2133

48

py

Python

cfdata/tabular/processors/one_hot/__init__.py

carefree0910/carefree-data

ae0f4ea5724b4efd5d76f2a9d420acf3322c1d19

[ "MIT" ]

9

2020-10-25T11:52:34.000Z

2022-01-23T02:45:41.000Z

cfdata/tabular/processors/one_hot/__init__.py

carefree0910/carefree-data

ae0f4ea5724b4efd5d76f2a9d420acf3322c1d19

[ "MIT" ]

2

2020-08-02T01:58:48.000Z

2021-02-26T11:24:19.000Z

cfdata/tabular/processors/one_hot/__init__.py

carefree0910/carefree-data

ae0f4ea5724b4efd5d76f2a9d420acf3322c1d19

[ "MIT" ]

1

2021-11-04T14:34:13.000Z

from .core import OneHot __all__ = ["OneHot"]

9.6

24

0.6875

6

48

4.833333

0.833333

0

0.1875

48

4

25

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0.74359

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0

0.5

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null

0

1

0

null

0

1

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4

62a620928fe4636dba68c4a158736c66ea6ade66

67

py

Python

junn/predict/__init__.py

modsim/junn

a40423b98c6a3739dd0b2ba02d546a5db91f9215

[ "BSD-2-Clause" ]

null

junn/predict/__init__.py

modsim/junn

a40423b98c6a3739dd0b2ba02d546a5db91f9215

[ "BSD-2-Clause" ]

null

junn/predict/__init__.py

modsim/junn

a40423b98c6a3739dd0b2ba02d546a5db91f9215

[ "BSD-2-Clause" ]

null

"""Dummy to redirect run-as-module to the junn_predict package."""

33.5

66

0.746269

11

67

4.454545

0.909091

0

0.119403

67

1

67

0.830508

0.895522

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

62a684c948a09d5f9177ddec73c24fd219c6e2db

1,450

py

Python

typedb/api/query/future.py

rpatil524/client-python

e8daba79842a81669f4f4c2799bcc8610e610551

[ "Apache-2.0" ]

47

2019-01-22T19:17:13.000Z

2021-02-06T15:39:59.000Z

typedb/api/query/future.py

rpatil524/client-python

e8daba79842a81669f4f4c2799bcc8610e610551

[ "Apache-2.0" ]

85

2019-01-22T14:51:34.000Z

2021-04-08T15:41:43.000Z

typedb/api/query/future.py

rpatil524/client-python

e8daba79842a81669f4f4c2799bcc8610e610551

[ "Apache-2.0" ]

24

2019-01-22T13:21:42.000Z

2021-03-02T18:06:03.000Z

# # Copyright (C) 2021 Vaticle # # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. # from abc import ABC, abstractmethod from typing import TypeVar, Generic, Callable T = TypeVar('T') U = TypeVar('U') class QueryFuture(Generic[T], ABC): @abstractmethod def get(self) -> T: pass def map(self, function: Callable[[T], U]) -> "QueryFuture[U]": return _MappedQueryFuture(self, function) class _MappedQueryFuture(Generic[T, U], QueryFuture[U]): def __init__(self, query_future: QueryFuture[T], function: Callable[[T], U]): self._query_future = query_future self._function = function def get(self) -> U: return self._function(self._query_future.get())

31.521739

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202

1,450

5.113861

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0.058083

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1,450

45

82

32.222222

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null

0

null

0

1

0

1

0

1

0

4

62a95faa0facd9ac90aa25b393fd7c3589c12db8

848

py

Python

base_map/admin.py

ishuah91/MtaaSafi-Web-App

b3ed936c13d090388986b278d611387c1651b823

[ "MIT" ]

null

base_map/admin.py

ishuah91/MtaaSafi-Web-App

b3ed936c13d090388986b278d611387c1651b823

[ "MIT" ]

null

base_map/admin.py

ishuah91/MtaaSafi-Web-App

b3ed936c13d090388986b278d611387c1651b823

[ "MIT" ]

null

from django.contrib import admin from django.contrib.contenttypes import generic from base_map.models import BaseSite, Shape, Point, Polygon, MultiPolygon, Line, MultiLine class PointInline(generic.GenericTabularInline): max_num = 1 model = Point class PolygonInline(generic.GenericTabularInline): max_num = 1 model = Polygon class MultiPolygonInline(generic.GenericTabularInline): max_num = 1 model = MultiPolygon class LineInline(generic.GenericTabularInline): max_num = 1 model = Line class MultiLineInline(generic.GenericTabularInline): max_num = 1 model = MultiLine class BaseSiteAdmin(admin.ModelAdmin): inlines = [ PointInline, PolygonInline, MultiPolygonInline, LineInline, MultiLineInline ] admin.site.register(BaseSite, BaseSiteAdmin)

24.228571

90

0.728774

83

848

7.373494

0.39759

0.220588

0.245098

0.269608

0.318627

0

0.007418

0.205189

848

34

91

24.941176

0.900593

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0.185185

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1

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false

0

0.111111

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0.740741

0

null

1

0

null

0

1

0

4

62b2fbe40a0675188db493d55122a3023cde4a5e

115

py

Python

python/while_lopp.py

sivasant/python_project

d148a1be177a634b25e571b1fc1b710276f3ef3b

[ "Apache-2.0" ]

null

python/while_lopp.py

sivasant/python_project

d148a1be177a634b25e571b1fc1b710276f3ef3b

[ "Apache-2.0" ]

null

python/while_lopp.py

sivasant/python_project

d148a1be177a634b25e571b1fc1b710276f3ef3b

[ "Apache-2.0" ]

null

condition = 1 while condition < 10: print(condition) condition += 1 while True: print('santhosh')

14.375

22

0.626087

13

115

5.538462

0.538462

0.277778

0.416667

0

0.047619

0.269565

115

7

23

16.428571

0.809524

0

0.069565

0

1

0

false

0

0.333333

1

0

null

1

0

1

0

null

0

4

62b6b637e035cb4f04a05d125e387bd90a4a6055

104

py

Python

cybox/bindings/extensions/location/__init__.py

siemens/python-cybox

b692a98c8a62bd696e2a0dda802ada7359853482

[ "BSD-3-Clause" ]

null

cybox/bindings/extensions/location/__init__.py

siemens/python-cybox

b692a98c8a62bd696e2a0dda802ada7359853482

[ "BSD-3-Clause" ]

null

cybox/bindings/extensions/location/__init__.py

siemens/python-cybox

b692a98c8a62bd696e2a0dda802ada7359853482

[ "BSD-3-Clause" ]

1

2019-04-16T18:37:32.000Z

34.666667

65

0.759615

15

104

5.266667

1

0

0.045455

0.153846

104

2

66

52

0.852273

0.951923

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

1a1f3a12b311a67478020822c4ae2b8cdb67f86c

144

py

Python

utility/__init__.py

thitta/Python-Automation-Script

7ffae3350a13201e2070843acb11bc73aa815ce3

[ "MIT" ]

null

utility/__init__.py

thitta/Python-Automation-Script

7ffae3350a13201e2070843acb11bc73aa815ce3

[ "MIT" ]

null

utility/__init__.py

thitta/Python-Automation-Script

7ffae3350a13201e2070843acb11bc73aa815ce3

[ "MIT" ]

null

from .file_utility import * from .template import procedure, NextStep, teardown __all__ = ["procedure", "NextStep", "FileUtility", "teardown"]

28.8

62

0.75

15

144

6.866667

0.666667

0.330097

0

0.118056

144

4

63

36

0.811024

0

0.25

0

1

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false

0

0.666667

0

0.666667

0

1

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null

1

0

1

0

null

0

1

0

4

a7e5d1e8bab69e0a54ddf7ec07ed5fb93b818ed5

162

py

Python

test2/login.py

hungry-Tt/test

fe32f8f3e6ae02213894d8f51cb0d464a7255fcc

[ "Apache-2.0" ]

null

test2/login.py

hungry-Tt/test

fe32f8f3e6ae02213894d8f51cb0d464a7255fcc

[ "Apache-2.0" ]

null

test2/login.py

hungry-Tt/test

fe32f8f3e6ae02213894d8f51cb0d464a7255fcc

[ "Apache-2.0" ]

null

我是经理鸭我是你三爹你明天可以不用来上班了你爹就是不想上了 CNM NMSL <<<<<<< HEAD 11 33 999999999999999 0000000000000000000000 ======= 222 >>>>>>> 8c0c2ceb0ca1300b4d93211d74be91e43833d532

10.125

48

0.765432

13

162

9.538462

1

0

0.482759

0.104938

162

15

49

10.8

0.372414

0

null

0

null

0

1

0

null

0

1

0

1

0

null

0

1

0

4

c5022ccfc8bcdb4572727a9eda6febde7d3d2f83

218

py

Python

backend/messages/admin.py

HillalRoy/Studenthut

6aba8208e8f6d2650196c5a0220b62fee2eae108

[ "Apache-2.0" ]

1

2021-05-01T16:52:30.000Z

backend/messages/admin.py

HillalRoy/Studenthut

6aba8208e8f6d2650196c5a0220b62fee2eae108

[ "Apache-2.0" ]

null

backend/messages/admin.py

HillalRoy/Studenthut

6aba8208e8f6d2650196c5a0220b62fee2eae108

[ "Apache-2.0" ]

1

2021-04-29T15:11:47.000Z

from django.contrib import admin from . import models @admin.register(models.Message) class MsgAdmin(admin.ModelAdmin): pass @admin.register(models.ClassMessage) class ClassMsgAdmin(admin.ModelAdmin): pass

16.769231

38

0.779817

26

218

6.538462

0.538462

0.152941

0.223529

0

0.12844

218

12

39

18.166667

0.894737

0

0.25

0

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true

0.25

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0.5

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1

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null

0

1

0

null

0

1

0

4

c525a1b69e396884bafe9bd58f424d1e9bacdeab

413

py

Python

pycsca/__init__.py

prithagupta/ml-sca

7158d8013cea02c316ce86c802b9651b97c6fe36

[ "Apache-2.0" ]

null

pycsca/__init__.py

prithagupta/ml-sca

7158d8013cea02c316ce86c802b9651b97c6fe36

[ "Apache-2.0" ]

1

2022-02-17T17:21:26.000Z

pycsca/__init__.py

prithagupta/ml-sca

7158d8013cea02c316ce86c802b9651b97c6fe36

[ "Apache-2.0" ]

null

from .baseline import RandomClassifier, MajorityVoting, PriorClassifier from .csv_reader import CSVReader from .synthetic_dataset_reader import SyntheticDatasetGenerator from .real_dataset_generator import RealDatasetGenerator from .classification_test import optimize_search_cv from .classifiers import classifiers_space, custom_dict from .constants import * from .statistical_tests import * from .utils import *

45.888889

71

0.871671

47

413

7.425532

0.595745

0.068768

0

0.09201

413

9

72

45.888889

0.930667

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

c54efb0abf61d28303d4290e7360ec51d6b7f181

121

py

Python

dsfp/tests/test_data.py

adamamiller/DSFP-demo

136daa7fd3684c7c8d469b4bd9b4214118d88529

[ "MIT" ]

null

dsfp/tests/test_data.py

adamamiller/DSFP-demo

136daa7fd3684c7c8d469b4bd9b4214118d88529

[ "MIT" ]

null

dsfp/tests/test_data.py

adamamiller/DSFP-demo

136daa7fd3684c7c8d469b4bd9b4214118d88529

[ "MIT" ]

null

from dsfp.data import get_photometry def test_get_photometry(): data = get_photometry(10) assert len(data) == 10

24.2

36

0.735537

18

121

4.722222

0.611111

0.458824

0

0.04

0.173554

121

5

37

24.2

0.81

0

0.25

1

0.25

false

0

0.25

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

c5591302e0e195db119d2d71fb4cfdf055fa46b4

276

py

Python

Challenges/Google/problem_58.py

JeremySomsouk/DailyCodingProblem

ca4e19571b175d92a913b5b373a6f17fccd87731

[ "Unlicense" ]

54

2019-03-14T21:27:13.000Z

2021-12-08T12:58:08.000Z

Challenges/Google/problem_58.py

JeremySomsouk/DailyCodingProblem

ca4e19571b175d92a913b5b373a6f17fccd87731

[ "Unlicense" ]

null

Challenges/Google/problem_58.py

JeremySomsouk/DailyCodingProblem

ca4e19571b175d92a913b5b373a6f17fccd87731

[ "Unlicense" ]

8

2020-02-06T23:28:01.000Z

2021-08-05T20:33:16.000Z

""" Asked by: Google [Hard]. Given a string, split it into as few strings as possible such that each string is a palindrome. For example, given the input string racecarannakayak, return ["racecar", "anna", "kayak"]. Given the input string abc, return ["a", "b", "c"]. """

27.6

95

0.692029

42

276

4.547619

0.738095

0.08377

0.136126

0.198953

0

0.173913

276

9

96

30.666667

0.837719

0.963768

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

1

0

1

0

null

0

1

0

4

c55b696476c7f3f9706708cb56e62bc5186815e1

207

py

Python

vent/helpers/errors.py

edgardmota/vent

67b01abc059a3e9e8d16670c7058f0a9e267d8f1

[ "Apache-2.0" ]

null

vent/helpers/errors.py

edgardmota/vent

67b01abc059a3e9e8d16670c7058f0a9e267d8f1

[ "Apache-2.0" ]

null

vent/helpers/errors.py

edgardmota/vent

67b01abc059a3e9e8d16670c7058f0a9e267d8f1

[ "Apache-2.0" ]

null

def ErrorHandler(function): def wrapper(*args, **kwargs): try: return function(*args, **kwargs) except Exception as e: # pragma: no cover pass return wrapper

25.875

50

0.570048

22

207

5.363636

0.727273

0.169492

0

0.333333

207

7

51

29.571429

0.855072

0.077295

0

1

0.285714

false

0.142857

0

0.571429

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c561a4b73276386325c25a14084dc06e12823791

87

py

Python

bgport/apps.py

shotastage/neco-sys

60816ceee3eaf36d8d278db72e741d45c3f4af41

[ "MIT" ]

null

bgport/apps.py

shotastage/neco-sys

60816ceee3eaf36d8d278db72e741d45c3f4af41

[ "MIT" ]

10

2020-02-12T00:37:45.000Z

2022-03-03T21:58:40.000Z

bgport/apps.py

shotastage/neco-sys

60816ceee3eaf36d8d278db72e741d45c3f4af41

[ "MIT" ]

null

from django.apps import AppConfig class BgportConfig(AppConfig): name = 'bgport'

14.5

33

0.747126

10

87

6.5

0.9

0

0.172414

87

5

34

17.4

0.902778

0

0.068966

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

c575e41a43c3c3975029340793ce4e0ad061493b

75

py

Python

lgp/abcd/task.py

dingmyu/hlsm

628702789d910f745c74e738efbdd65f0fdb654b

[ "BSD-3-Clause" ]

null

lgp/abcd/task.py

dingmyu/hlsm

628702789d910f745c74e738efbdd65f0fdb654b

[ "BSD-3-Clause" ]

null

lgp/abcd/task.py

dingmyu/hlsm

628702789d910f745c74e738efbdd65f0fdb654b

[ "BSD-3-Clause" ]

null

from abc import ABC class Task(ABC): def __init__(self): ...

10.714286

23

0.573333

10

75

3.9

0.8

0

0.306667

75

6

24

12.5

0.75

0

1

0.25

false

0

0.25

0

0.75

0

1

0

null

0

1

0

null

0

1

0

1

0

4

3d836a57fc3ce550b7c2663e3f433fa1afe1e670

716

py

Python

playmobile/config.py

rajab-murod/playmobile

c00e067a92c71c001c4085cfbd65f04a9f411a37

[ "MIT" ]

null

playmobile/config.py

rajab-murod/playmobile

c00e067a92c71c001c4085cfbd65f04a9f411a37

[ "MIT" ]

null

playmobile/config.py

rajab-murod/playmobile

c00e067a92c71c001c4085cfbd65f04a9f411a37

[ "MIT" ]

null

import base64 from django.conf import settings class Config: URL = settings.PLAY_MOBILE_SETTINGS['API_URL'] PREFIX = settings.PLAY_MOBILE_SETTINGS['PREFIX'] DEFAULT_ORIGINATOR = settings.PLAY_MOBILE_SETTINGS['ORIGINATOR'] ORIGINATOR = '3700' if DEFAULT_ORIGINATOR == '' else DEFAULT_ORIGINATOR LOGIN = settings.PLAY_MOBILE_SETTINGS['LOGIN'] PASSWORD = settings.PLAY_MOBILE_SETTINGS['PASSWORD'] def __init__(self): self.HEADER = self.header() def header(self): data = '{}:{}'.format(self.LOGIN, self.PASSWORD) encoded = base64.b64encode(data.encode('utf-8')) header = {'Authorization': 'Basic {}'.format(str(encoded, 'utf-8'))} return header

35.8

76

0.689944

82

716

5.804878

0.426829

0.12605

0.189076

0.273109

0

0.020443

0.180168

716

20

77

35.8

0.79046

0

0.105997

0

1

0.125

false

0.125

0

0.75

0

null

0

1

0

null

0

1

0

1

0

4

3d8805332ffb39c7d58eba2ac173b5e909178677

1,191

py

Python

tests/approximate_als_test.py

yurijmikhalevich/implicit

be5ba9b312a408453701b216dd99093a4986129f

[ "MIT" ]

1

2019-01-16T23:35:24.000Z

tests/approximate_als_test.py

yurijmikhalevich/implicit

be5ba9b312a408453701b216dd99093a4986129f

[ "MIT" ]

null

tests/approximate_als_test.py

yurijmikhalevich/implicit

be5ba9b312a408453701b216dd99093a4986129f

[ "MIT" ]

null

from __future__ import print_function import unittest from implicit.approximate_als import (AnnoyAlternatingLeastSquares, FaissAlternatingLeastSquares, NMSLibAlternatingLeastSquares) from .recommender_base_test import TestRecommenderBaseMixin # don't require annoy/faiss/nmslib to be installed try: import annoy # noqa class AnnoyALSTest(unittest.TestCase, TestRecommenderBaseMixin): def _get_model(self): return AnnoyAlternatingLeastSquares(factors=2, regularization=0) except ImportError: pass try: import nmslib # noqa class NMSLibALSTest(unittest.TestCase, TestRecommenderBaseMixin): def _get_model(self): return NMSLibAlternatingLeastSquares(factors=2, regularization=0, index_params={'post': 2}) except ImportError: pass try: import faiss # noqa class FaissALSTest(unittest.TestCase, TestRecommenderBaseMixin): def _get_model(self): return FaissAlternatingLeastSquares(nlist=1, nprobe=1, factors=2, regularization=0) except ImportError: pass if __name__ == "__main__": unittest.main()

29.04878

97

0.700252

109

1,191

7.440367

0.486239

0.033292

0.147965

0.159063

0.382244

0.334155

0.225647

0

0.009879

0.235097

1,191

40

98

29.775

0.880351

0.052897

0

0.413793

0

0.010686

0

1

0.103448

false

0.103448

0.344828

0.103448

0.655172

0.034483

0

null

0

null

0

1

0

4

3d948c300f0a6fa60842a9be91f7e887ec6bd691

149

py

Python

code/1115.py

minssoj/Learning_Algorithm_Up

45ec4e2eb4c07c9ec907a74dbd31370e1645c50b

[ "MIT" ]

null

code/1115.py

minssoj/Learning_Algorithm_Up

45ec4e2eb4c07c9ec907a74dbd31370e1645c50b

[ "MIT" ]

null

code/1115.py

minssoj/Learning_Algorithm_Up

45ec4e2eb4c07c9ec907a74dbd31370e1645c50b

[ "MIT" ]

null

# 두 정수의 덧셈 (64비트) # minso.jeong@daum.net ''' 문제링크 : https://www.codeup.kr/problem.php?id=1115 ''' a, b = list(map(int, input().split())) print(a + b)

21.285714

48

0.61745

27

149

3.407407

0.925926

0.043478

0

0.046154

0.127517

149

7

49

21.285714

0.661538

0.577181

0

1

0

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

3dd40141f80e114d5c1ca4f717d1ca111dc4d96e

201

py

Python

lang/Python/catamorphism-1.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

lang/Python/catamorphism-1.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

lang/Python/catamorphism-1.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

# Python 2.X from operator import add listoflists = [['the', 'cat'], ['sat', 'on'], ['the', 'mat']] help(reduce) reduce(...) reduce(add, listoflists, []) ['the', 'cat', 'sat', 'on', 'the', 'mat']

15.461538

61

0.547264

26

201

4.230769

0.576923

0.254545

0.309091

0.363636

0.563636

0

0.005882

0.154229

201

12

62

16.75

0.641176

0.049751

0

0.180851

0

1

0

false

0

0.166667

0

0.166667

0

1

0

null

1

0

null

0

4

3dd4a94e679b747a2cfbdb99a9cff63b9bf0630c

23

py

Python

pymattype/version.py

yasirroni/PyMatType

e35d3e7e216473fa4c9d05c4ed31c2f5f86450e3

[ "MIT" ]

null

pymattype/version.py

yasirroni/PyMatType

e35d3e7e216473fa4c9d05c4ed31c2f5f86450e3

[ "MIT" ]

null

pymattype/version.py

yasirroni/PyMatType

e35d3e7e216473fa4c9d05c4ed31c2f5f86450e3

[ "MIT" ]

null

__version__ = "0.0.1a0"

23

0.695652

4

23

3

0.75

0

0.190476

0.086957

23

1

23

0.380952

0

0.291667

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4