xszheng2020/the_stack_dedup_python_hits_0 · Datasets at Hugging Face

edd948bb9ec9eb83072bfce6e93f8f8d37219a11

3,077

py

Python

DQM/Physics/test/ewkElecDQM_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

DQM/Physics/test/ewkElecDQM_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

DQM/Physics/test/ewkElecDQM_cfg.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms process = cms.Process("EwkDQM") process.load("DQM.Physics.ewkElecDQM_cfi") process.load("DQMServices.Core.DQM_cfg") process.load("DQMServices.Components.DQMEnvironment_cfi") process.DQM.collectorHost = '' #keep the logging output to a nice level process.load("FWCore.Message...

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0.118312

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null

0

null

0

1

0

eddafd9744249b5f6384f3044c4d9c5bb3848404

4,809

py

Python

indStudyA.py

rafaelorozco/cloudsimbuck

5b6bc4f24343bb171bc44522244647fcdaff7bf5

[ "MIT" ]

null

indStudyA.py

rafaelorozco/cloudsimbuck

5b6bc4f24343bb171bc44522244647fcdaff7bf5

[ "MIT" ]

null

indStudyA.py

rafaelorozco/cloudsimbuck

5b6bc4f24343bb171bc44522244647fcdaff7bf5

[ "MIT" ]

null

#version 1 # # #Setup data structure #Made timer that includes fps from pyqtgraph.Qt import QtCore, QtGui import pyqtgraph.opengl as gl import pyqtgraph as pg import numpy as np import random #import time from pyqtgraph.ptime import time import functools app = QtGui.QApplication([]) w = gl.GLViewWidget() w.show() ...

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null

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eddc970d0bca10b6c7c843c88343bba235218464

433

py

Python

example.py

dib-lab/pybbhash

08a1f71fc5b1f52d450ba1f33b168241423c9047

[ "MIT" ]

16

2018-01-18T06:00:42.000Z

2021-03-03T08:50:42.000Z

example.py

dib-lab/pybbhash

08a1f71fc5b1f52d450ba1f33b168241423c9047

[ "MIT" ]

17

2018-01-21T22:38:37.000Z

2021-01-01T16:26:49.000Z

example.py

dib-lab/pybbhash

08a1f71fc5b1f52d450ba1f33b168241423c9047

[ "MIT" ]

3

2018-07-04T20:38:36.000Z

2021-11-11T12:49:01.000Z

import bbhash # some collection of 64-bit (or smaller) hashes uint_hashes = [10, 20, 50, 80] num_threads = 1 # hopefully self-explanatory :) gamma = 1.0 # internal gamma parameter for BBHash mph = bbhash.PyMPHF(uint_hashes, len(uint_hashes), num_threads, gamma) for val in uint_hashes: print('{} now hashes t...

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0

null

0

null

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edddf9cd795da9fd0a04623dab549ea31d356178

1,618

py

Python

setup.py

creativechain/crea-python-graphenelib

14b0de84c47c21c8ad2f03a9ace7816135345681

[ "MIT" ]

null

setup.py

creativechain/crea-python-graphenelib

14b0de84c47c21c8ad2f03a9ace7816135345681

[ "MIT" ]

null

setup.py

creativechain/crea-python-graphenelib

14b0de84c47c21c8ad2f03a9ace7816135345681

[ "MIT" ]

null

#!/usr/bin/env python from setuptools import setup # Work around mbcs bug in distutils. # http://bugs.python.org/issue10945 import codecs try: codecs.lookup('mbcs') except LookupError: ascii = codecs.lookup('ascii') codecs.register(lambda name, enc=ascii: {True: enc}.get(name == 'mbcs')) VERSION = '0.1.3...

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null

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ede0d5ebf66b21e6e1508ac010484457df91425a

531

py

Python

Kickstart/diwali-lightings.py

tushar-1728/Coding

2df9da02cf3e5d4af5b47faf02a07ba54b3297cb

[ "MIT" ]

null

Kickstart/diwali-lightings.py

tushar-1728/Coding

2df9da02cf3e5d4af5b47faf02a07ba54b3297cb

[ "MIT" ]

null

Kickstart/diwali-lightings.py

tushar-1728/Coding

2df9da02cf3e5d4af5b47faf02a07ba54b3297cb

[ "MIT" ]

null

t = int(input()) for i in range(t): pattern = input() lindex, rindex = map(int, input().split()) d = len(pattern) a_list = [] r_count = 0 l_count = 0 flag = 0 for j in range(d): if pattern[j] == "B": a_list.append(j +1) for j in a_list: temp = (rindex - j)...

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0

ede0d8d35a9f0d6e5afc0c244d8363190ccf8288

1,121

py

Python

oteltrace/contrib/grpc/utils.py

ocelotl/opentelemetry-auto-instr-python-1

f5c47bd1ee492ffde298794f283031c22891f60b

[ "BSD-3-Clause" ]

2

2020-03-04T17:33:22.000Z

2021-01-20T14:20:10.000Z

oteltrace/contrib/grpc/utils.py

ocelotl/opentelemetry-auto-instr-python-1

f5c47bd1ee492ffde298794f283031c22891f60b

[ "BSD-3-Clause" ]

4

2019-11-25T00:11:16.000Z

2021-05-13T20:43:50.000Z

oteltrace/contrib/grpc/utils.py

ocelotl/opentelemetry-auto-instr-python-1

f5c47bd1ee492ffde298794f283031c22891f60b

[ "BSD-3-Clause" ]

3

2020-02-05T14:54:25.000Z

2020-03-23T02:51:27.000Z

# Copyright 2019, OpenTelemetry Authors # # Licensed 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 i...

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null

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null

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1

0

ede10dafbf743c6151c9253bd80b7dd3f59da855

3,852

py

Python

datasetparser.py

moloned/volumetric_accelerator_toolkit

8f5cf226a7d788e4dd4215c181db49d9568c6240

[ "Apache-2.0" ]

6

2019-02-11T14:32:23.000Z

2021-12-07T09:49:41.000Z

datasetparser.py

moloned/volumetric_accelerator_toolkit

8f5cf226a7d788e4dd4215c181db49d9568c6240

[ "Apache-2.0" ]

null

datasetparser.py

moloned/volumetric_accelerator_toolkit

8f5cf226a7d788e4dd4215c181db49d9568c6240

[ "Apache-2.0" ]

2

2018-10-11T17:29:37.000Z

2021-09-08T12:01:40.000Z

#!/usr/bin/env python3 """Reads all the headers in a folder and creates a vola index. @author Jonathan Byrne @copyright 2018 Intel Ltd (see LICENSE file). """ from __future__ import print_function import argparse import glob import os import struct import json def main(): """Read the headers, calc the centroids a...

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0

ede193cbc7f6dd6ed49b143d3a053602c1a03e2e

6,324

py

Python

chart-generator/main.py

ShironCat/covid-19-fernandopolis

f7767ed604368c27732de0b3300967bf1019e6e6

[ "CC0-1.0" ]

3

2020-06-10T02:51:38.000Z

2021-05-14T14:37:09.000Z

chart-generator/main.py

ShironCat/covid-19-fernandopolis

f7767ed604368c27732de0b3300967bf1019e6e6

[ "CC0-1.0" ]

1

2022-03-12T01:08:07.000Z

chart-generator/main.py

ShironCat/covid-19-fernandopolis

f7767ed604368c27732de0b3300967bf1019e6e6

[ "CC0-1.0" ]

1

2020-06-18T21:50:11.000Z

from datetime import datetime, timedelta import matplotlib.dates as mdates import matplotlib.pyplot as plt import numpy as np import pandas as pd import scipy.optimize as opt def area_chart(ds, dateFmt): # create a subplot fig, ax = plt.subplots() # set figure size and dpi fig.set_size_inches(10, 5) ...

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ede3596e0f595cefcd0e9bb3ee971620608011db

5,297

py

Python

carrier/classification/src/eda/eda.py

talk2sunil83/UpgradLearning

70c4f993c68ce5030e9df0edd15004bbb9fc71e7

[ "Apache-2.0" ]

null

carrier/classification/src/eda/eda.py

talk2sunil83/UpgradLearning

70c4f993c68ce5030e9df0edd15004bbb9fc71e7

[ "Apache-2.0" ]

null

carrier/classification/src/eda/eda.py

talk2sunil83/UpgradLearning

70c4f993c68ce5030e9df0edd15004bbb9fc71e7

[ "Apache-2.0" ]

null

# %% [markdown] ''' # Calculate suspect score for manufacturing claims ''' # %% [markdown] ''' # Problem statement ''' # %% [markdown] ''' **Author** : Sunil Yadav || yadav.sunil83@gmail.com || +91 96206 38383 || ''' # %% [markdown] ''' # Solution Approach - Check if we can correctly segregate suspected claims -...

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ede87d5f9bacdbbf74448b95d151644f8502d5f0

5,532

py

Python

vlnce_baselines/common/ddppo_alg.py

Felix2048/VLN-CE

4ea21f2af0d869ae65dd6677a53e788233f93761

[ "MIT" ]

106

2020-05-11T00:47:23.000Z

2022-03-31T13:15:18.000Z

vlnce_baselines/common/ddppo_alg.py

Felix2048/VLN-CE

4ea21f2af0d869ae65dd6677a53e788233f93761

[ "MIT" ]

30

2020-08-01T02:43:32.000Z

2022-03-31T21:20:30.000Z

vlnce_baselines/common/ddppo_alg.py

Felix2048/VLN-CE

4ea21f2af0d869ae65dd6677a53e788233f93761

[ "MIT" ]

36

2020-06-16T01:18:20.000Z

2022-03-09T17:15:48.000Z

from typing import Tuple import torch from habitat_baselines.rl.ddppo.algo.ddppo import DDPPO from torch.functional import Tensor from torch.nn.functional import l1_loss class WDDPPO(DDPPO): """Differences with DD-PPO: - expands entropy calculation and tracking to three variables - adds a regularization ...

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0

null

0

null

0

1

0

edea2cfe56a56fb79fd1fce518faeebadbd65eee

1,791

py

Python

main.py

Jackson-Kang/Speech-dataset-generator

7d73ea59f2fb0420cfcbd66afe9352a4eecbac9d

[ "MIT" ]

4

2020-11-19T09:28:40.000Z

2020-12-10T10:56:38.000Z

main.py

Jackson-Kang/Speech-dataset-generator

7d73ea59f2fb0420cfcbd66afe9352a4eecbac9d

[ "MIT" ]

null

main.py

Jackson-Kang/Speech-dataset-generator

7d73ea59f2fb0420cfcbd66afe9352a4eecbac9d

[ "MIT" ]

null

import sys import configs as cfg from video2wav import Video2Wav_Converter from segment_speech import Segment_Speech from transcribe_speech import Transcribe_Speech from utils import create_dir def convert_video_to_wav(): create_dir(cfg.preprocessed_wav_savepath) create_dir(cfg.extracted_wav_savepath) v2w = Vi...

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edeef0d9d796972bf70b21cd812c5bf7a74c376d

216

py

Python

cgh_practical_ml/b_pandas.py

bm2-lab/MLClass

50e12d58aa56c25feefaa18af2351148052c4c22

[ "Apache-2.0" ]

2

2017-05-18T08:01:10.000Z

2017-06-07T06:23:11.000Z

cgh_practical_ml/b_pandas.py

bm2-lab/MLClass

50e12d58aa56c25feefaa18af2351148052c4c22

[ "Apache-2.0" ]

null

cgh_practical_ml/b_pandas.py

bm2-lab/MLClass

50e12d58aa56c25feefaa18af2351148052c4c22

[ "Apache-2.0" ]

null

import pandas as pd dfm = pd.read_csv('h3.bed', sep='\t', header=None, index_col=None) dfm.columns = ['chrom', 'start', 'end'] dfm['length'] = dfm['end'] - dfm['start'] dfm.to_csv('h3.tsv', sep='\t', index=None)

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edef28264d82bcd62dedd4c32a8425656c175820

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py

Python

scripts/cros_oobe_autoconfig.py

khromiumos/chromiumos-chromite

a42a85481cdd9d635dc40a04585e427f89f3bb3f

[ "BSD-3-Clause" ]

null

scripts/cros_oobe_autoconfig.py

khromiumos/chromiumos-chromite

a42a85481cdd9d635dc40a04585e427f89f3bb3f

[ "BSD-3-Clause" ]

2

2021-03-26T00:29:32.000Z

2021-04-30T21:29:33.000Z

scripts/cros_oobe_autoconfig.py

khromiumos/chromiumos-chromite

a42a85481cdd9d635dc40a04585e427f89f3bb3f

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Copyright 2018 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Provision a recovery image for OOBE autoconfiguration. This script populates the OOBE autoconfiguration data (/stateful/unencr...

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edf065b3b9d813bd45d5a9f2000c563da0552f93

524

py

Python

delivrable.py

minidfx/Cloud-Python-

c9e4741c4c4f7de77f439e2786cca7f03f70cad9

[ "MIT" ]

null

delivrable.py

minidfx/Cloud-Python-

c9e4741c4c4f7de77f439e2786cca7f03f70cad9

[ "MIT" ]

null

delivrable.py

minidfx/Cloud-Python-

c9e4741c4c4f7de77f439e2786cca7f03f70cad9

[ "MIT" ]

null

import os import sys from Amazon import Amazon from OpenStack import OpenStack if sys.version_info.major < 2 and sys.version_info.minor < 7: raise Exception("Python version 2.7 minimum is required for running this script.") clouds = [OpenStack(), Amazon()] for cloud in clouds: cloud.create() print('Press \...

20.153846

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1

0

edf0710ec6bce13e2d9a52d1a1948bbc1d362eb2

11,466

py

Python

tests/test_algebra_meta_onnx.py

adrinjalali/sklearn-onnx

160200eb19880b4ded0acdd0c1e1a5ecd45c7b74

[ "MIT" ]

null

tests/test_algebra_meta_onnx.py

adrinjalali/sklearn-onnx

160200eb19880b4ded0acdd0c1e1a5ecd45c7b74

[ "MIT" ]

null

tests/test_algebra_meta_onnx.py

adrinjalali/sklearn-onnx

160200eb19880b4ded0acdd0c1e1a5ecd45c7b74

[ "MIT" ]

null

import os import unittest from distutils.version import StrictVersion from io import StringIO import contextlib import numpy from numpy.testing import assert_almost_equal import onnx import onnxruntime from onnx import numpy_helper, helper from skl2onnx.algebra.onnx_ops import dynamic_class_creation from skl2onnx.algeb...

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1

0

edf26090d854080fb9b45549474f48ba0c37c05d

7,526

py

Python

moztrap/model/environments/api.py

mbeko/moztrap

db75e1f8756ef2c0c39652a66302b19c8afa0256

[ "BSD-2-Clause" ]

null

moztrap/model/environments/api.py

mbeko/moztrap

db75e1f8756ef2c0c39652a66302b19c8afa0256

[ "BSD-2-Clause" ]

null

moztrap/model/environments/api.py

mbeko/moztrap

db75e1f8756ef2c0c39652a66302b19c8afa0256

[ "BSD-2-Clause" ]

null

from tastypie import fields from tastypie import http from tastypie.resources import ModelResource, ALL, ALL_WITH_RELATIONS from tastypie.exceptions import ImmediateHttpResponse from ..mtapi import MTResource, MTAuthorization from .models import Profile, Environment, Element, Category import logging logger = logging....

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null

0

null

0

1

0

edf492afe84acc1713a2081782233e25be267de7

890

py

Python

examples/failbot/failbot/writer_options.py

Tallisado/DbBot

cfdea98a5770d86e886205fb2c8b9198c2d6be20

[ "Apache-2.0" ]

1

2021-11-22T14:35:22.000Z

examples/failbot/failbot/writer_options.py

Tallisado/DbBot

cfdea98a5770d86e886205fb2c8b9198c2d6be20

[ "Apache-2.0" ]

null

examples/failbot/failbot/writer_options.py

Tallisado/DbBot

cfdea98a5770d86e886205fb2c8b9198c2d6be20

[ "Apache-2.0" ]

null

from os.path import exists from sys import argv from dbbot import CommandLineOptions class WriterOptions(CommandLineOptions): @property def output_file_path(self): return self._options.output_file_path def _add_parser_options(self): super(WriterOptions, self)._add_parser_options() ...

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null

0

null

0

1

0

edf4bcfd3616b9eb20798b538246c06d4982fdb4

223

py

Python

Solving_Problems/max_common_divisor.py

mingzhangyang/learning_pandas

6ec0ef09839d87a28dbf3beaa7c61e89f4346a36

[ "Apache-2.0" ]

null

Solving_Problems/max_common_divisor.py

mingzhangyang/learning_pandas

6ec0ef09839d87a28dbf3beaa7c61e89f4346a36

[ "Apache-2.0" ]

null

Solving_Problems/max_common_divisor.py

mingzhangyang/learning_pandas

6ec0ef09839d87a28dbf3beaa7c61e89f4346a36

[ "Apache-2.0" ]

1

2017-10-10T15:09:38.000Z

#!usr/bin/python #coding:utf8 #mcd:max_common_divisor def mcd(a, b):#a and b are natural numbers. if a == b: return a t = min(a, b) cd = [i for i in range(1, t+1) if a % i == 0 and b % i == 0] m = max(cd) return m

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null

0

null

0

1

0

edf5ff589947e9a4cdd842f130ed6198e9f67912

1,129

py

Python

Tarefas RNAs/rna_mpl.py

Jovioluiz/IA

35247c782747a972e73a723608e71faa70cb6916

[ "MIT" ]

null

Tarefas RNAs/rna_mpl.py

Jovioluiz/IA

35247c782747a972e73a723608e71faa70cb6916

[ "MIT" ]

null

Tarefas RNAs/rna_mpl.py

Jovioluiz/IA

35247c782747a972e73a723608e71faa70cb6916

[ "MIT" ]

null

#tarefa 4 #Jóvio L. Giacomolli import numpy as np #função sigmoide def sigmoid(x): return 1/(1 + np.exp(-x)) #arquitetura da MPL n_input = 3 n_hidden = 4 n_output = 2 #vetor dos valores de entrada(aleatoria) x = np.array([1, 2, 3]) #pesos camada oculta weights_in_hidden = np.array([[0.2, 0.1,...

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0.052632

0

null

0

null

0

1

0

edf8b9d24eb17e49b5ccc0a21211628f48bd98dd

3,273

py

Python

codestosort/CloudComputing/reports/hw3/src/run.py

jimmy-academia/Deeper-Learnings

ac363efe5450dd2751c0c1bea0ee7af457f7ac24

[ "MIT" ]

2

2019-09-30T04:57:11.000Z

2020-04-06T04:27:46.000Z

codestosort/CloudComputing/reports/hw3/src/run.py

jimmy-academia/Deeper-Learnings

ac363efe5450dd2751c0c1bea0ee7af457f7ac24

[ "MIT" ]

null

codestosort/CloudComputing/reports/hw3/src/run.py

jimmy-academia/Deeper-Learnings

ac363efe5450dd2751c0c1bea0ee7af457f7ac24

[ "MIT" ]

null

from thrift.transport import TSocket,TTransport from thrift.protocol import TBinaryProtocol from hbase import Hbase from hbase.ttypes import ColumnDescriptor from hbase.ttypes import Mutation import csv import os import time import logging from tqdm import tqdm # table: station, column: attr, row: date def main(): ...

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0.171875

0

null

0

null

0

1

0

edfad664d6522de1e57decf992ec9921d32421ab

873

py

Python

tests/functional/create_key.py

maxwolfe/autocsr

6c8295c0796f597c8780658de1570f9951b3d846

[ "MIT" ]

null

tests/functional/create_key.py

maxwolfe/autocsr

6c8295c0796f597c8780658de1570f9951b3d846

[ "MIT" ]

null

tests/functional/create_key.py

maxwolfe/autocsr

6c8295c0796f597c8780658de1570f9951b3d846

[ "MIT" ]

null

"""Create PKCS11 Key.""" import pkcs11 from pkcs11.util.ec import encode_named_curve_parameters if __name__ == "__main__": lib = pkcs11.lib("/usr/lib/softhsm/libsofthsm2.so") token = lib.get_token(token_label="token") with token.open(rw=True, user_pin="1234") as session: session.generate_keypair(...

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0

0.105263

0

null

0

null

0

1

0

edfc9ce9d519343ae32bf3b714e11e2e15706541

2,353

py

Python

model/losses.py

TomHacker/faster-rcnn

313e51f76814cfceb5c2f24fed6d596bebcbd13f

[ "Apache-2.0" ]

1

2019-06-10T00:47:53.000Z

model/losses.py

TomHacker/faster-rcnn

313e51f76814cfceb5c2f24fed6d596bebcbd13f

[ "Apache-2.0" ]

null

model/losses.py

TomHacker/faster-rcnn

313e51f76814cfceb5c2f24fed6d596bebcbd13f

[ "Apache-2.0" ]

null

from keras import backend as K from keras.objectives import categorical_crossentropy import tensorflow as tf lambda_rpn_regr=1.0 lambda_rpn_class=1.0 lambda_cls_regr=1.0 lambda_cls_class=1.0 epsilon=1e-4 def rpn_loss_regr(num_anchors): def rpn_loss_regr_fixed_num(y_true,y_pred): x=y_true[:,:,:,4*num_anch...

48.020408

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0.42788

0

0.02481

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0

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0.02381

0.428571

0

null

0

null

0

1

0

edfd77060965954e9fe35eddd7f4bb0c750e7c30

4,597

py

Python

visualization.py

johnrickman/UnpairedImageTranslation

d1d5e1386babacceabb4fe45841592bc7b6c3baa

[ "MIT" ]

null

visualization.py

johnrickman/UnpairedImageTranslation

d1d5e1386babacceabb4fe45841592bc7b6c3baa

[ "MIT" ]

null

visualization.py

johnrickman/UnpairedImageTranslation

d1d5e1386babacceabb4fe45841592bc7b6c3baa

[ "MIT" ]

null

import os import chainer import matplotlib.gridspec as gridspec import matplotlib.pyplot as plt from chainer import Variable,cuda import numpy as np import chainer.functions as F import losses from chainer.training import extensions import warnings # assume [0,1] input def postprocess(var): img = var.data.get() ...

39.290598

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636

4,597

3.630503

0.238994

0.019922

0.015591

0.010394

0.486358

0.438718

0.426159

0.408835

0.388913

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4,597

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0

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0

0.210526

0

null

0

null

0

1

0

6101e8e012fece4c920c8244350e3a04fbec14a7

4,469

py

Python

perfkitbenchmarker/linux_packages/memcached_server.py

pierre-emmanuelJ/PerfKitBenchmarker

3ef6acfd54d4e3d1f074ef40b3fc5b3a3f855f69

[ "Apache-2.0" ]

1

2016-12-07T19:49:58.000Z

perfkitbenchmarker/linux_packages/memcached_server.py

pierre-emmanuelJ/PerfKitBenchmarker

3ef6acfd54d4e3d1f074ef40b3fc5b3a3f855f69

[ "Apache-2.0" ]

null

perfkitbenchmarker/linux_packages/memcached_server.py

pierre-emmanuelJ/PerfKitBenchmarker

3ef6acfd54d4e3d1f074ef40b3fc5b3a3f855f69

[ "Apache-2.0" ]

null

# Copyright 2016 PerfKitBenchmarker Authors. All rights reserved. # # Licensed 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 appli...

33.601504

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0.028269

0

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0

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0

0.222222

0

null

0

null

0

1

0

6101fbe36a07e3eb66e44044a1570bf0f15fcbb4

582

py

Python

tests/test_test_framework.py

mvaleev/asyncpgsa

19b6b9f49cd8a6e63c79695fcb995a59964f694e

[ "Apache-2.0" ]

419

2016-07-22T20:08:05.000Z

2022-03-03T14:39:28.000Z

tests/test_test_framework.py

mvaleev/asyncpgsa

19b6b9f49cd8a6e63c79695fcb995a59964f694e

[ "Apache-2.0" ]

89

2016-09-16T17:28:14.000Z

2021-04-30T08:16:47.000Z

tests/test_test_framework.py

mvaleev/asyncpgsa

19b6b9f49cd8a6e63c79695fcb995a59964f694e

[ "Apache-2.0" ]

63

2016-08-05T15:46:24.000Z

2022-03-31T13:33:54.000Z

# Testing our tests!! from asyncpgsa.testing import MockPG async def test_use_fetchrow(): pg = MockPG() pg.set_database_results({'sqrt': 3}) result = await pg.fetchrow('SELECT * FROM sqrt(16);') assert result['sqrt'] == 3 async def test_use_fetchval(): pg = MockPG() pg.set_database_results(3)...

25.304348

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0

0.0625

0

null

0

null

0

1

0

610352de23c24c1211593fc045bfabda52ab33ba

3,784

py

Python

tests.py

dantheta/norm

0048dc66686e24d08ae3d01fda8d719abc09f276

[ "BSD-3-Clause" ]

null

tests.py

dantheta/norm

0048dc66686e24d08ae3d01fda8d719abc09f276

[ "BSD-3-Clause" ]

null

tests.py

dantheta/norm

0048dc66686e24d08ae3d01fda8d719abc09f276

[ "BSD-3-Clause" ]

null

import NORM import NORM.utils import psycopg2 import unittest import logging logging.basicConfig(level = logging.WARN) class Person(NORM.DBObject): TABLE = 'people' FIELDS = ['firstname','surname','age'] class FakeCursor(object): def __init__(self, conn): self.conn = conn def execute(self, sql, args = []): ...

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0.213561

0

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0.008403

0.277311

0

null

0

null

0

1

0

61037aee09d2dd1ca60025b574f0aaaa3bfd465f

4,012

py

Python

logger/tensorboard_logger.py

system123/SOMatch

6f10cf28f506998a5e430ccd3faab3076fe350d5

[ "MIT" ]

22

2020-09-25T05:10:57.000Z

2022-03-16T08:16:00.000Z

logger/tensorboard_logger.py

system123/SOMatch

6f10cf28f506998a5e430ccd3faab3076fe350d5

[ "MIT" ]

14

2020-10-09T14:12:08.000Z

2021-05-18T12:55:18.000Z

logger/tensorboard_logger.py

system123/SOMatch

6f10cf28f506998a5e430ccd3faab3076fe350d5

[ "MIT" ]

15

2020-11-02T02:01:58.000Z

2022-03-30T08:00:17.000Z

import os import torch import numpy as np import torchvision.utils as vutils from tensorboardX import SummaryWriter from datetime import datetime from utils.helpers import get_learning_rate class TensorboardLogger: def __init__(self, log_every=10, log_params=False, log_dir=None, log_images=False, log_grads=False, ...

38.951456

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0.295775

0.014085

0

null

0

null

0

1

0

6103dca99223e2064971d08bcfcec2f45746107b

870

py

Python

challenges/week_1/bus_fare_challenge.py

sling254/python

c49c2c63a5fe92f07d24bbb28c3a176d516816da

[ "MIT" ]

null

challenges/week_1/bus_fare_challenge.py

sling254/python

c49c2c63a5fe92f07d24bbb28c3a176d516816da

[ "MIT" ]

null

challenges/week_1/bus_fare_challenge.py

sling254/python

c49c2c63a5fe92f07d24bbb28c3a176d516816da

[ "MIT" ]

null

# WRITE YOUR CODE SOLUTION HERE from datetime import datetime, timedelta, date #Get todays date and store it in a variable 'date' date = datetime.now() """ # Use todays date to get the name on the day of the week written in a short # form with the first letter capitalized (e.g) 'Fri' if today were Friday and # as...

20.714286

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0

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0

null

0

null

0

1

0

6103de3de6f757d0d0039c05b3e7ed32ecf1a76c

572

py

Python

TaskManager/forms.py

farahaulita/pbp-tk

fabf8e07ed0e1270d3e98a3d1bdd46267a1a4d6c

[ "Unlicense" ]

null

TaskManager/forms.py

farahaulita/pbp-tk

fabf8e07ed0e1270d3e98a3d1bdd46267a1a4d6c

[ "Unlicense" ]

null

TaskManager/forms.py

farahaulita/pbp-tk

fabf8e07ed0e1270d3e98a3d1bdd46267a1a4d6c

[ "Unlicense" ]

null

from django.db.models.base import Model from django.forms import ModelForm, widgets from django import forms from login.models import User, Task, Submissions, Subject class DateTimeInput(forms.DateTimeInput): input_type = 'datetime-local' input_value = "" class AddTaskForm(ModelForm): class Meta: ...

26

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0

0.243007

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59

26

0.861432

0

0.111111

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0.099476

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false

0

0.222222

0

0.611111

0

null

0

null

0

1

0

61044666403f7fed0ad63dd4accb5ea22bf27e14

12,740

py

Python

spira/yevon/geometry/nets/net.py

qedalab/spira

32e4d2096e298b9fcc5952abd654312dc232a259

[ "MIT" ]

10

2018-07-13T09:46:21.000Z

2021-06-22T13:34:50.000Z

spira/yevon/geometry/nets/net.py

qedalab/spira

32e4d2096e298b9fcc5952abd654312dc232a259

[ "MIT" ]

8

2018-09-09T11:32:40.000Z

2019-10-08T07:47:31.000Z

spira/yevon/geometry/nets/net.py

qedalab/spira

32e4d2096e298b9fcc5952abd654312dc232a259

[ "MIT" ]

7

2019-01-17T18:50:17.000Z

2022-01-13T20:27:52.000Z

import numpy as np import networkx as nx from copy import deepcopy from spira.core.parameters.variables import GraphParameter, StringParameter from spira.core.parameters.descriptor import Parameter, RestrictedParameter from spira.yevon.geometry.coord import Coord from spira.yevon.vmodel.geometry import GeometryParamet...

35.388889

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0.78892

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false

0.004386

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0.013158

0.337719

0

null

0

null

0

1

0

6106d1e77ba2c189d3335415eaec9708cfc5663a

337

py

Python

main.py

vsalvino/pyinstaller-demo

0abfd197bb5aaafc894d3f48848d2c919ad62792

[ "Unlicense" ]

null

main.py

vsalvino/pyinstaller-demo

0abfd197bb5aaafc894d3f48848d2c919ad62792

[ "Unlicense" ]

null

main.py

vsalvino/pyinstaller-demo

0abfd197bb5aaafc894d3f48848d2c919ad62792

[ "Unlicense" ]

null

""" Runs list_files on the current directory (".") """ from util import list_files def main() -> None: path = "." files = list_files(path) for f in files: print( "d" if f.isdir else "f", f" {f.human_readable_bytes:<12}", f.path ) if __name__ == "__mai...

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null

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0

6107e1c219772ea1245d3f4b2f2a7463443f4c29

11,846

py

Python

bin/NormalizeReadCounts.py

DSchreyer/crisprquant

ffebb979064fed2d4f65ce6dc1c703b829ff23e7

[ "MIT" ]

1

2021-03-19T09:50:48.000Z

bin/NormalizeReadCounts.py

DSchreyer/crisprquant

ffebb979064fed2d4f65ce6dc1c703b829ff23e7

[ "MIT" ]

2

2021-03-19T09:43:20.000Z

2021-06-23T07:22:43.000Z

bin/NormalizeReadCounts.py

DSchreyer/crisprquant

ffebb979064fed2d4f65ce6dc1c703b829ff23e7

[ "MIT" ]

3

2021-03-18T15:03:18.000Z

2021-06-26T19:09:35.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Created on Mon Feb 13 09:23:51 2017 @author: philipp """ # Analyze count distribution # ======================================================================= # Imports from __future__ import division # floating point division by default import sys import yaml import ...

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null

0

null

0

1

0

610dcc6aa683bc18e852da17456d9fb2df99e847

8,761

py

Python

main.py

francescofraternali/CityLearn

0338dcd81a856638a163bbc88401fa93543b1e05

[ "MIT" ]

1

2020-07-21T22:30:54.000Z

main.py

francescofraternali/CityLearn

0338dcd81a856638a163bbc88401fa93543b1e05

[ "MIT" ]

null

main.py

francescofraternali/CityLearn

0338dcd81a856638a163bbc88401fa93543b1e05

[ "MIT" ]

null

from citylearn import CityLearn, building_loader, auto_size from energy_models import HeatPump, EnergyStorage, Building import matplotlib.pyplot as plt import torch import torch.optim as optim import torch.nn as nn import torch.nn.functional as F import collections import gym from gym.utils import seeding from gym im...

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null

0

null

0

1

0

610ddbb5e092cf2175ef5db86499670928275f5e

2,041

py

Python

main.py

ErikBavenstrand/Neural-Network-Implementation

01652abd972139367c45ce991d228f2a1c125c07

[ "MIT" ]

null

main.py

ErikBavenstrand/Neural-Network-Implementation

01652abd972139367c45ce991d228f2a1c125c07

[ "MIT" ]

5

2019-11-20T13:29:21.000Z

2022-03-12T00:05:57.000Z

main.py

ErikBavenstrand/Neural-Network-Implementation

01652abd972139367c45ce991d228f2a1c125c07

[ "MIT" ]

null

import pickle import sys from mnist import MNIST from NeuralNetwork import * import numpy as np from PIL import Image def vectorizeResult(x): e = np.zeros((10, 1)) e[x] = 1.0 return e def getImageArray(fileName): ls = [] for p in np.invert(Image.open(fileName).convert('L')).ravel(): ls.ap...

31.4

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0

null

0

null

0

1

0

610f4efe5e37318e7fc086def5a33639b6de24e4

1,286

py

Python

JM_exerc/dao/Back_dao.py

matheusschuetz/TrabalhoPython

953957898de633f8f2776681a45a1a15b68e80b9

[ "MIT" ]

1

2020-01-21T11:43:12.000Z

JM_exerc/dao/Back_dao.py

matheusschuetz/TrabalhoPython

953957898de633f8f2776681a45a1a15b68e80b9

[ "MIT" ]

null

JM_exerc/dao/Back_dao.py

matheusschuetz/TrabalhoPython

953957898de633f8f2776681a45a1a15b68e80b9

[ "MIT" ]

null

import MySQLdb import sys sys.path.append('C:/Users/900152/Documents/Dados/TrabalhoPython/JM_exerc') from model.Back_model import BackEnd class BackDb: def select_all(self): comand = 'SELECT * FROM topskills01.02_JM_BackEnd;' selectcomand = self.cursor.execute(comand) return selectcomand ...

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null

0

null

0

1

0

611288649e75ce5d1bb3366ed4efae6440380a9d

1,079

py

Python

code/dataSource.py

youkaisteve/Population

bfda0b4b8dc510726911f5e5dd7ef6c7863634b1

[ "MIT" ]

null

code/dataSource.py

youkaisteve/Population

bfda0b4b8dc510726911f5e5dd7ef6c7863634b1

[ "MIT" ]

null

code/dataSource.py

youkaisteve/Population

bfda0b4b8dc510726911f5e5dd7ef6c7863634b1

[ "MIT" ]

null

import re import xlrd DATA_BASE_PATH = '../data/population-migration-all/' def get_files(file_path): """get files. Keyword arguments: file_path -- file path """ result = [] work_book = xlrd.open_workbook(file_path) first_table = work_book.sheet_by_index(0) cols = first_table.ncols ...

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0.037037

0.296296

0

null

0

null

0

1

0

61155cc8647d3a04287a744c3fe45ab20382fb37

3,635

py

Python

rest-server/bin/engines.py

soft-super/harness

540f7648fd0702c1b71f0f1c41b71a870c9420fe

[ "Apache-2.0" ]

1

2020-12-17T11:22:42.000Z

rest-server/bin/engines.py

soft-super/harness

540f7648fd0702c1b71f0f1c41b71a870c9420fe

[ "Apache-2.0" ]

null

rest-server/bin/engines.py

soft-super/harness

540f7648fd0702c1b71f0f1c41b71a870c9420fe

[ "Apache-2.0" ]

1

2019-03-26T20:43:23.000Z

#!/usr/bin/env python3 from harness import EnginesClient, HttpError from common import * engine_client = EnginesClient( url=url, user_id=client_user_id, user_secret=client_user_secret ) if args.action == 'create': with open(args.config) as data_file: config = json.load(data_file) tr...

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0.25

0

null

0

null

0

1

0

61185f9554e6fdad4742b175bf8931b9e3aa29a8

1,817

py

Python

protlearn/dimreduction/pca.py

tadorfer/ProtClass

da1a01ea9abd3c367b3389dfed683c6a9dfa6afd

[ "MIT" ]

24

2020-09-17T10:35:44.000Z

2022-03-09T19:19:01.000Z

protlearn/dimreduction/pca.py

tadorfer/ProtClass

da1a01ea9abd3c367b3389dfed683c6a9dfa6afd

[ "MIT" ]

14

2020-08-09T18:23:01.000Z

2020-11-19T05:48:14.000Z

protlearn/dimreduction/pca.py

tadorfer/ProtClass

da1a01ea9abd3c367b3389dfed683c6a9dfa6afd

[ "MIT" ]

3

2021-03-07T23:41:17.000Z

2022-02-25T18:48:37.000Z

# Author: Thomas Dorfer <thomas.a.dorfer@gmail.com> import warnings import numpy as np from sklearn.decomposition import PCA def pca(X, *, thres=.9, whiten=False): """Principal component analysis. PCA is defined as an orthogonal linear transformation that transforms the data to a new coordinate system s...

28.390625

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0

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0

0.3125

0

null

0

null

0

1

0

611baf35e81592e930584d66af2ff718199af1d7

600

py

Python

base/lib/pythonbin/urwid/tests/test_doctests.py

threefoldtech/sandbox_osx

e2a5ea812c3789dea40113719dbad6d6ee7cd720

[ "Apache-2.0" ]

4

2021-10-14T21:22:25.000Z

2022-03-12T19:58:48.000Z

base/lib/pythonbin/urwid/tests/test_doctests.py

threefoldtech/sandbox_osx

e2a5ea812c3789dea40113719dbad6d6ee7cd720

[ "Apache-2.0" ]

3

2020-06-05T18:53:36.000Z

2021-06-10T20:47:05.000Z

base/lib/pythonbin/urwid/tests/test_doctests.py

threefoldtech/sandbox_osx

e2a5ea812c3789dea40113719dbad6d6ee7cd720

[ "Apache-2.0" ]

1

2022-03-15T22:52:53.000Z

import unittest import doctest import urwid def load_tests(loader, tests, ignore): module_doctests = [ urwid.widget, urwid.wimp, urwid.decoration, urwid.display_common, urwid.main_loop, urwid.monitored_list, urwid.raw_display, 'urwid.split_repr', # o...

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0

0.238095

0

null

0

null

0

1

0

611e0ce498d0d6daa68a1e298efb23c3efe69b01

425

py

Python

authentication/urls.py

NoMariusz/Praeteritum

c32fa017e23de7255224fcf72cd04abdfc3ebff4

[ "MIT" ]

3

2021-03-07T21:43:55.000Z

2021-09-21T08:24:26.000Z

authentication/urls.py

NoMariusz/Praeteritum

c32fa017e23de7255224fcf72cd04abdfc3ebff4

[ "MIT" ]

null

authentication/urls.py

NoMariusz/Praeteritum

c32fa017e23de7255224fcf72cd04abdfc3ebff4

[ "MIT" ]

null

from django.urls import path from django.views.decorators.csrf import csrf_exempt from .views import UserView, RegisterUser, LoginUser, LogoutUser, \ CheckAuthenticated urlpatterns = [ path('', UserView.as_view()), path('register', csrf_exempt(RegisterUser.as_view())), path('login', LoginUser.as_view()...

32.692308

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0

0.131765

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68

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0

0.08

0

1

0

false

0

0.272727

0

0.272727

0

null

0

null

0

1

0

6122f59b015b8f42249ec2c010138d836ac0f35e

1,541

py

Python

research/develop/2016-12-08-irio-invalid-cnpj-or-cpf.py

SuccessionEcologicalServices/serenata-de-amor

718a74e031ea0a4b020bf42801e1d23353e6bc34

[ "MIT" ]

59

2018-10-03T18:46:31.000Z

2022-01-05T22:39:17.000Z

research/develop/2016-12-08-irio-invalid-cnpj-or-cpf.py

SuccessionEcologicalServices/serenata-de-amor

718a74e031ea0a4b020bf42801e1d23353e6bc34

[ "MIT" ]

16

2018-10-03T21:36:50.000Z

2021-04-12T22:10:16.000Z

research/develop/2016-12-08-irio-invalid-cnpj-or-cpf.py

SuccessionEcologicalServices/serenata-de-amor

718a74e031ea0a4b020bf42801e1d23353e6bc34

[ "MIT" ]

20

2018-10-03T19:14:57.000Z

2021-04-12T20:50:44.000Z

# coding: utf-8 # # Invalid CNPJ or CPF # # `cnpj_cpf` is the column identifying the company or individual who received the payment made by the congressperson. Having this value empty should mean that it's an expense made outside Brazil, with a company (or person) without a Brazilian ID. # In[1]: import numpy as n...

28.018182

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1,541

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0

null

0

null

0

1

0

6123c525e5a5da797d3ca93718ec18aa3078da5c

5,170

py

Python

examples/convolutional_vae.py

twiecki/edward

1ac2eeb7f5163915848afd3b027c714255459de3

[ "Apache-2.0" ]

4

2016-05-09T18:48:21.000Z

2018-03-01T22:50:42.000Z

examples/convolutional_vae.py

twiecki/edward

1ac2eeb7f5163915848afd3b027c714255459de3

[ "Apache-2.0" ]

null

examples/convolutional_vae.py

twiecki/edward

1ac2eeb7f5163915848afd3b027c714255459de3

[ "Apache-2.0" ]

3

2016-07-05T14:19:08.000Z

2019-09-04T13:48:59.000Z

#!/usr/bin/env python """ Convolutional variational auto-encoder for MNIST data. The model is written in TensorFlow, with neural networks using Pretty Tensor. Probability model Prior: Normal Likelihood: Bernoulli parameterized by convolutional NN Variational model Likelihood: Mean-field Normal parameterize...

33.571429

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0.020619

0

null

0

null

0

1

0

61244fae3cb1d570e8f892707e02d30830b9dab4

4,998

py

Python

cadnano/views/outlinerview/cnoutlineritem.py

mctrinh/cadnano2.5

d8254f24eef5fd77b4fb2b1a9642a8eea2e3c736

[ "BSD-3-Clause" ]

1

2022-03-27T14:37:32.000Z

cadnano/views/outlinerview/cnoutlineritem.py

mctrinh/cadnano2.5

d8254f24eef5fd77b4fb2b1a9642a8eea2e3c736

[ "BSD-3-Clause" ]

null

cadnano/views/outlinerview/cnoutlineritem.py

mctrinh/cadnano2.5

d8254f24eef5fd77b4fb2b1a9642a8eea2e3c736

[ "BSD-3-Clause" ]

1

2021-01-22T02:29:38.000Z

from PyQt5.QtCore import Qt from PyQt5.QtWidgets import QTreeWidgetItem from cadnano.gui.palette import getBrushObj from . import outlinerstyles as styles NAME_COL = 0 LOCKED_COL = 1 VISIBLE_COL = 2 COLOR_COL = 3 LEAF_FLAGS = (Qt.ItemIsSelectable | Qt.ItemIsEditable | Qt.ItemIsDragEnabled | ...

35.7

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null

0

null

0

1

0

612569303782cf9c7b7179cfa384ea54e28fb8c1

13,579

py

Python

data/dedupe.py

mcguinlu/COVID_suicide_living

81ac106065b1113706f2df26051e0d73efe382aa

[ "MIT" ]

1

2020-11-29T18:42:53.000Z

data/dedupe.py

L-ENA/SR_automation_LSR

c9b5d3a121e4e141485b4ad0f2e3975217861a3b

[ "MIT" ]

1

2020-06-24T18:48:56.000Z

data/dedupe.py

L-ENA/SR_automation_LSR

c9b5d3a121e4e141485b4ad0f2e3975217861a3b

[ "MIT" ]

3

2020-03-30T13:55:38.000Z

2020-10-27T20:38:49.000Z

import pandas as pd import re from fuzzywuzzy import fuzz from tqdm import tqdm from datetime import date import os #os.chdir("C:\\Users\\lm16564\\OneDrive - University of Bristol\\Documents\\rrr\\COVID_suicide_living") def fuzzymatch(a, b, min_match): if fuzz.ratio(a, b) > min_match: # matching ore than specifi...

45.414716

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0.072626

0

null

0

null

0

1

0

6128d52040ae15c763ac67cfd1eb887cfac11cae

10,920

py

Python

transforms/detection/functional.py

qixuxiang/Pytorch_Lightweight_Network

25fd3148b7c635cb6cbe6dc184dbed04d6f96282

[ "MIT" ]

82

2019-06-17T06:00:09.000Z

2021-11-24T09:27:23.000Z

transforms/detection/functional.py

qixuxiang/Pytorch_Lightweight_Network

25fd3148b7c635cb6cbe6dc184dbed04d6f96282

[ "MIT" ]

4

2019-06-20T11:29:19.000Z

2021-07-28T03:31:20.000Z

transforms/detection/functional.py

qixuxiang/Pytorch_Lightweight_Network

25fd3148b7c635cb6cbe6dc184dbed04d6f96282

[ "MIT" ]

17

2019-06-20T11:22:34.000Z

2021-03-16T12:37:41.000Z

from typing import List, Dict, Sequence, Union, Tuple from numbers import Number import random import numpy as np from toolz import curry from toolz.curried import get from common import _tuple __all__ = [ "resize", "resized_crop", "center_crop", "drop_boundary_bboxes", "to_absolute_coords", "to_percent_coor...

26.962963

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10,920

3.854111

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0.01755

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0.179612

0

null

0

null

0

1

0

612de04c96f064f94c0f251d285bdc28a27f4be1

1,310

py

Python

src/robust_laplacian/core.py

nmwsharp/robust-laplacians-py

b1c0f8bcf94571d1c54ba1a79e6bc49c08c65562

[ "MIT" ]

123

2020-08-05T18:16:11.000Z

2022-03-28T01:59:55.000Z

src/robust_laplacian/core.py

nmwsharp/robust-laplacians-py

b1c0f8bcf94571d1c54ba1a79e6bc49c08c65562

[ "MIT" ]

6

2020-08-28T02:42:57.000Z

2022-02-01T21:32:34.000Z

src/robust_laplacian/core.py

nmwsharp/robust-laplacians-py

b1c0f8bcf94571d1c54ba1a79e6bc49c08c65562

[ "MIT" ]

12

2020-08-14T12:14:56.000Z

2022-02-25T11:03:39.000Z

import numpy as np import robust_laplacian_bindings as rlb def mesh_laplacian(verts, faces, mollify_factor=1e-5): ## Validate input if type(verts) is not np.ndarray: raise ValueError("`verts` should be a numpy array") if (len(verts.shape) != 2) or (verts.shape[1] != 3): raise ValueError("...

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null

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b616788026b220ba10bb555db6739d8f4ae8230d

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py

Python

sparkdq/models/dbscan/DBSCAN.py

PasaLab/SparkDQ

16d50210747ef7de03cf36d689ce26ff7445f63a

[ "Apache-2.0" ]

1

2021-02-08T07:49:54.000Z

sparkdq/models/dbscan/DBSCAN.py

PasaLab/SparkDQ

16d50210747ef7de03cf36d689ce26ff7445f63a

[ "Apache-2.0" ]

null

sparkdq/models/dbscan/DBSCAN.py

PasaLab/SparkDQ

16d50210747ef7de03cf36d689ce26ff7445f63a

[ "Apache-2.0" ]

null

from operator import add import numpy as np from pyspark.sql.types import StructField, StructType, IntegerType from scipy.spatial.distance import euclidean import sklearn.cluster as skc from sparkdq.conf.Context import Context from sparkdq.models.CommonUtils import DEFAULT_CLUSTER_COL, DEFAULT_INDEX_COL from sparkdq....

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b618d3e757516d28daaaf4e251eeb45623d8f192

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py

Python

hycu-demo/hycu-centos-8.py

halsayed/calm

46c93ac2b02227663f0184d149f62d142b2638cc

[ "MIT" ]

null

hycu-demo/hycu-centos-8.py

halsayed/calm

46c93ac2b02227663f0184d149f62d142b2638cc

[ "MIT" ]

null

hycu-demo/hycu-centos-8.py

halsayed/calm

46c93ac2b02227663f0184d149f62d142b2638cc

[ "MIT" ]

1

2021-11-16T10:28:42.000Z

from calm.dsl.builtins import basic_cred, CalmTask, action from calm.dsl.builtins import SimpleDeployment, SimpleBlueprint from calm.dsl.builtins import read_provider_spec from calm.dsl.builtins import CalmVariable from calm.dsl.store import Secret CENTOS = basic_cred('nutanix', 'nutanix/4u', name='CENTOS', default=Tr...

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null

0

null

0

1

0

b619e86dde26d288681bc5bbb637fb6786e9878f

2,695

py

Python

lc/0101_SymmetricTree.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

lc/0101_SymmetricTree.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

lc/0101_SymmetricTree.py

xiangshiyin/coding-challenge

a75a644b96dec1b6c7146b952ca4333263f0a461

[ "Apache-2.0" ]

null

# Definition for a binary tree node. # class TreeNode: # def __init__(self, val=0, left=None, right=None): # self.val = val # self.left = left # self.right = right # class Solution: # def isSymmetric(self, root: TreeNode) -> bool: # ''' # long, iterative solution # ...

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null

0

null

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1

0

b61b1f4f777fb497c659daccaa184cb2e2a702f6

920

py

Python

checkboxes2.py

PiyushKumar186/programming

4dc17488a2d197ccdb6acd6f80732da81147bb1b

[ "MIT" ]

null

checkboxes2.py

PiyushKumar186/programming

4dc17488a2d197ccdb6acd6f80732da81147bb1b

[ "MIT" ]

null

checkboxes2.py

PiyushKumar186/programming

4dc17488a2d197ccdb6acd6f80732da81147bb1b

[ "MIT" ]

null

#!/usr/bin/python2 from Tkinter import * class Checkbar(Frame): def __init__(self,parent=None,picks=[],side=LEFT,anchor=W): Frame.__init__(self,parent) self.vars = [] for pick in picks: var = IntVar() chk = Checkbutton(self,text=pick,variable=var) chk.pac...

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0.041667

0

null

0

null

0

1

0

b61c54672fad12557646d3ef16c482952b01520a

2,572

py

Python

code/Experiments/Lasagne_examples/modelzoo/cifar10_nin.py

matthijsvk/convNets

7e65db7857a4e6abfbcab264953eb7741319de6c

[ "Apache-2.0" ]

1,034

2015-05-21T12:47:50.000Z

2022-03-17T19:27:29.000Z

modelzoo/cifar10_nin.py

nestyme/Recipes

553f5cf671f164da71152e33253cd7ed737dd2ac

[ "MIT" ]

111

2015-07-04T11:38:59.000Z

2022-03-04T01:12:11.000Z

modelzoo/cifar10_nin.py

nestyme/Recipes

553f5cf671f164da71152e33253cd7ed737dd2ac

[ "MIT" ]

528

2015-07-03T22:15:02.000Z

2022-03-27T10:01:21.000Z

# Network in Network CIFAR10 Model # Original source: https://gist.github.com/mavenlin/e56253735ef32c3c296d # License: unknown # Download pretrained weights from: # https://s3.amazonaws.com/lasagne/recipes/pretrained/cifar10/model.pkl from lasagne.layers import InputLayer, DropoutLayer, FlattenLayer from lasagne.laye...

41.483871

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0

null

0

null

0

1

0

b61d0a638f24888cb68e4936a01c7b39a707cb01

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py

Python

src/backend/models/placeModel.py

oasis-art-project/oasis-server

63e8093ebafa76c90393eec7828221e255100252

[ "Artistic-2.0" ]

3

2022-03-07T23:40:29.000Z

2022-03-07T23:40:35.000Z

src/backend/models/placeModel.py

oasis-art-project/oasis-server

63e8093ebafa76c90393eec7828221e255100252

[ "Artistic-2.0" ]

null

src/backend/models/placeModel.py

oasis-art-project/oasis-server

63e8093ebafa76c90393eec7828221e255100252

[ "Artistic-2.0" ]

null

# -*- coding: utf-8 -*- """ Part of the OASIS ART PROJECT - https://github.com/orgs/oasis-art-project Copyright (c) 2019-22 TEAM OASIS License Artistic-2.0 """ from marshmallow import fields, validate, post_dump from sqlalchemy.types import ARRAY from src.backend.extensions import db from src.backend.models.model im...

43.661765

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0

null

0

null

0

1

0

b61ebeb23f8d54ceaf64080f94bfcc879df1a83f

8,509

py

Python

torcharc/module/perceiver_io/preprocessor.py

kengz/torcharc

e17043391c718a161956b4da98f9a7810efe62a2

[ "MIT" ]

1

2020-06-12T09:55:25.000Z

torcharc/module/perceiver_io/preprocessor.py

kengz/torcharc

e17043391c718a161956b4da98f9a7810efe62a2

[ "MIT" ]

5

2021-06-26T18:25:39.000Z

2021-12-31T22:43:22.000Z

torcharc/module/perceiver_io/preprocessor.py

kengz/torcharc

e17043391c718a161956b4da98f9a7810efe62a2

[ "MIT" ]

null

from einops import repeat, rearrange from torch import nn from torcharc import net_util import math import pydash as ps import sys import torch def build_learned_pos_encoding(max_seq_len: int, embed_dim: int): '''Build learned positional encoding with Deepmind's init''' # learned position encoding pos_enc...

54.197452

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8,509

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false

0

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0.356322

0

null

0

null

0

1

0

b61f00da589e3e40dcc6ece3e1151abf782ac6ad

3,027

py

Python

utils/datafields.py

edgeless634/bilibili_spider

589bbd029d3db3e9382d2e825250fe21b12edc39

[ "MIT" ]

null

utils/datafields.py

edgeless634/bilibili_spider

589bbd029d3db3e9382d2e825250fe21b12edc39

[ "MIT" ]

null

utils/datafields.py

edgeless634/bilibili_spider

589bbd029d3db3e9382d2e825250fe21b12edc39

[ "MIT" ]

null

import os import random import logging import threading base_path = os.path.dirname(os.path.dirname(__file__)) base_path = os.path.join(base_path, "datafield") if not os.path.exists(base_path): os.mkdir(base_path) def get_path(fieldname): return os.path.join(base_path, fieldname) class DataField: ''' ...

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127

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0.059701

0

null

0

null

0

1

0

b61f12f0a57f2ac17e29150643fd1a3a0801bb75

1,468

py

Python

0.mccntt/domain-wide/gmail_quickstart.py

mccntt/googleworkspace-python-samples

c1a24d4e06f2b14af4b494db55ebad04fbf6cf89

[ "Apache-2.0" ]

null

0.mccntt/domain-wide/gmail_quickstart.py

mccntt/googleworkspace-python-samples

c1a24d4e06f2b14af4b494db55ebad04fbf6cf89

[ "Apache-2.0" ]

null

0.mccntt/domain-wide/gmail_quickstart.py

mccntt/googleworkspace-python-samples

c1a24d4e06f2b14af4b494db55ebad04fbf6cf89

[ "Apache-2.0" ]

null

# https://docs.microsoft.com/en-us/windows/python/beginners # https://developers.google.com/identity/protocols/oauth2/service-account#python from __future__ import print_function from pathlib import Path from googleapiclient.discovery import build from google.oauth2 import service_account SCOPES = ['https://www.go...

28.784314

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0.035679

0.178394

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0

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0

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0

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0

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0.166667

0

null

0

null

0

1

0

b61fa6e0d30b3d5f87bf0ee960be776cf48333dc

5,575

py

Python

code/dpp/distributions/logistic_mixture.py

bsouhaib/qf-tpp

a5adf3f7203b920528c1c397329c4afd9039c3b4

[ "MIT" ]

null

code/dpp/distributions/logistic_mixture.py

bsouhaib/qf-tpp

a5adf3f7203b920528c1c397329c4afd9039c3b4

[ "MIT" ]

null

code/dpp/distributions/logistic_mixture.py

bsouhaib/qf-tpp

a5adf3f7203b920528c1c397329c4afd9039c3b4

[ "MIT" ]

null

import numpy as np import torch import torch.nn as nn import torch.nn.functional as F import torch.distributions as td from torch.distributions import constraints from dpp.nn import BaseModule, Hypernet from dpp.utils import clamp_preserve_gradients def inverse_sigmoid(x): # Clamp tiny values (<1e-38 for float3...

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0

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0.340909

0

null

0

null

0

1

0

b61fd88f4b3a01a3aa6ca746cfeb284296cf724d

15,173

py

Python

register/urls.py

LucasHiago/pede_ja

62609a32d045b167a96be79cc93113d32dcfe917

[ "MIT" ]

null

register/urls.py

LucasHiago/pede_ja

62609a32d045b167a96be79cc93113d32dcfe917

[ "MIT" ]

null

register/urls.py

LucasHiago/pede_ja

62609a32d045b167a96be79cc93113d32dcfe917

[ "MIT" ]

null

from django.urls import path from django.conf import settings from django.conf.urls.static import static from .views import * urlpatterns = [ # Urls for authentication on noruh web path('change_password/', RecoverPasswordByApi.as_view(), name='change_password'), path('reset_passowrd/complete/', Recove...

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0

0.017621

0

null

0

null

0

1

0

b61fdd250445e3eab4d4df963d8cfba91ce0bd48

6,220

py

Python

model/utils/config_helper.py

aashiqmuhamed/transformer-gan

1ccc9f251c1b1d054c1acc8be36c1da7bf8cf11c

[ "Apache-2.0" ]

32

2021-06-11T02:03:03.000Z

2022-03-23T16:12:49.000Z

model/utils/config_helper.py

aashiqmuhamed/transformer-gan

1ccc9f251c1b1d054c1acc8be36c1da7bf8cf11c

[ "Apache-2.0" ]

3

2021-11-11T06:08:37.000Z

2022-02-20T14:09:30.000Z

model/utils/config_helper.py

aashiqmuhamed/transformer-gan

1ccc9f251c1b1d054c1acc8be36c1da7bf8cf11c

[ "Apache-2.0" ]

7

2021-06-11T01:19:56.000Z

2022-02-17T03:52:15.000Z

from yacs.config import CfgNode as CN def model(cfg): # For model cfg.MODEL = CN() cfg.MODEL.num_layers = 6 cfg.MODEL.num_heads = 10 cfg.MODEL.units = 500 cfg.MODEL.inner_size = 1000 cfg.MODEL.dropout = 0.1 cfg.MODEL.tie_embedding = True cfg.MODEL.tie_proj = False cfg.MODEL.atte...

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0.00859

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0.060129

0.043904

0.024338

0

0.040677

0.201608

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163

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0

1

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0

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0

0.096296

0

null

0

null

0

1

0

b62114fe26c6e23da2c727e699637285d222ecc8

832

py

Python

examples/yaml/main.py

pseeth/argbind

1b953e370065d9f3c91dee5c93cc6447b72e3744

[ "MIT" ]

19

2020-10-14T00:00:13.000Z

2022-02-20T23:21:18.000Z

examples/yaml/main.py

pseeth/argbind

1b953e370065d9f3c91dee5c93cc6447b72e3744

[ "MIT" ]

3

2021-03-30T15:56:55.000Z

2022-03-21T20:52:56.000Z

examples/yaml/main.py

pseeth/argbind

1b953e370065d9f3c91dee5c93cc6447b72e3744

[ "MIT" ]

1

2021-04-13T18:51:29.000Z

import argbind import typing @argbind.bind() def func( arg1 : str = 'default', arg2 : str = 'default', arg3 : str = 'default', arg4 : str = 'default', arg5 : typing.List[str] = ['default'], ): """Dummy function for binding. Parameters ---------- arg1 : str, optional Argumen...

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0.169265

0

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36

43

23.111111

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0.338942

0

0.282565

0

1

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false

0

0.095238

0

0.142857

0.047619

0

null

0

null

0

1

0

b6215c1441983e96ac508f482bf4dc70d993cca3

2,585

py

Python

handlers/article.py

armaaar/Multi-Users-Blog

8b28b2816337d8f023bc6c1741e91c86d3127874

[ "MIT" ]

null

handlers/article.py

armaaar/Multi-Users-Blog

8b28b2816337d8f023bc6c1741e91c86d3127874

[ "MIT" ]

null

handlers/article.py

armaaar/Multi-Users-Blog

8b28b2816337d8f023bc6c1741e91c86d3127874

[ "MIT" ]

null

from handlers import tables, helper, Handler import time class ArticleHandler(Handler): def __init__(self, *args, **kwargs): super(ArticleHandler, self).__init__(*args, **kwargs) self.body_class = 'article-page' def get(self, article_id): if not article_id.isdigit(): self....

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0.079715

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0

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0

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0

1

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false

0

0.038462

0

0.115385

0

null

0

null

0

1

0

b621e93761f39072896a2d33479068491b0d86fd

428

py

Python

Alignment/MuonAlignmentAlgorithms/python/MuonAlignmentPreFilter_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

Alignment/MuonAlignmentAlgorithms/python/MuonAlignmentPreFilter_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

Alignment/MuonAlignmentAlgorithms/python/MuonAlignmentPreFilter_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms MuonAlignmentPreFilter = cms.EDFilter("MuonAlignmentPreFilter", tracksTag = cms.InputTag("ALCARECOMuAlCalIsolatedMu:GlobalMuon"), minTrackPt = cms.double(20.), minTrackP = cms.double(0.), minTrackerHits = cms.int32(10), minDTHits = cms.int32(6), minCSCHits = cms.int...

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null

0

null

0

1

0

b6239675b28fbe08cb92d202a432a29c5c6dfd60

13,299

py

Python

widgets/KeyEvents.py

iubica/wx-portfolio

12101986db72bcaffd9b744d514d6f9f651ad5a1

[ "MIT" ]

3

2018-03-19T07:57:10.000Z

2021-07-05T08:55:14.000Z

widgets/KeyEvents.py

iubica/wx-portfolio

12101986db72bcaffd9b744d514d6f9f651ad5a1

[ "MIT" ]

6

2020-03-24T15:40:18.000Z

2021-12-13T19:46:09.000Z

widgets/KeyEvents.py

iubica/wx-portfolio

12101986db72bcaffd9b744d514d6f9f651ad5a1

[ "MIT" ]

4

2018-03-29T21:59:55.000Z

2019-12-16T14:56:38.000Z

#!/usr/bin/env python import wx import wx.lib.mixins.listctrl as listmix from six import unichr #---------------------------------------------------------------------- keyMap = { wx.WXK_BACK : "WXK_BACK", wx.WXK_TAB : "WXK_TAB", wx.WXK_RETURN : "WXK_RETURN", wx.WXK_ESCAPE : "WXK_ESCAPE", wx.WXK_S...

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13,299

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0.035008

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13,299

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0.102102

0.003003

0

null

0

null

0

1

0

b624ed925fddaa73c150d0b98d5fda740868dd65

4,071

py

Python

app/movies/tests/test_view.py

NicolefAvella/ApiMovie

4860b312f62dee73de6015c3029e75a6045f79a1

[ "MIT" ]

null

app/movies/tests/test_view.py

NicolefAvella/ApiMovie

4860b312f62dee73de6015c3029e75a6045f79a1

[ "MIT" ]

null

app/movies/tests/test_view.py

NicolefAvella/ApiMovie

4860b312f62dee73de6015c3029e75a6045f79a1

[ "MIT" ]

null

from django.urls import reverse from rest_framework.test import APITestCase, APIClient from rest_framework.views import status from movies.models import Movies from movies.serializers import MoviesSerializer from user.models import User import json class BaseViewTest(APITestCase): client = APIClient() def c...

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0.075939

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0.266667

0.011111

0

null

0

null

0

1

0

b625420fbcf257af05779c352e7795a2abfb2733

5,426

py

Python

examples/ConsumptionSaving/example_TractableBufferStockModel.py

HsinYiHung/HARK_HY

086c46af5bd037fe1ced6906c6ea917ed58b134f

[ "Apache-2.0" ]

null

examples/ConsumptionSaving/example_TractableBufferStockModel.py

HsinYiHung/HARK_HY

086c46af5bd037fe1ced6906c6ea917ed58b134f

[ "Apache-2.0" ]

null

examples/ConsumptionSaving/example_TractableBufferStockModel.py

HsinYiHung/HARK_HY

086c46af5bd037fe1ced6906c6ea917ed58b134f

[ "Apache-2.0" ]

null

# %% import numpy as np # numeric Python from HARK.utilities import plotFuncs # basic plotting tools from HARK.ConsumptionSaving.ConsMarkovModel import ( MarkovConsumerType, ) # An alternative, much longer way to solve the TBS model from time import process_time # timing utility from HARK.ConsumptionSaving.Trac...

41.419847

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0.132426

0.075373

0.035069

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0.029126

0

null

0

null

0

1

0

b625948601304a37edf120d20921eb82fe58c66b

3,299

py

Python

util/utils.py

tanghaotommy/Self-supervised-Fewshot-Medical-Image-Segmentation

9ff8cd2421ee2f7c038d8eec15b0296b365e0c46

[ "MIT" ]

176

2020-09-10T16:32:16.000Z

2022-03-30T12:06:02.000Z

util/utils.py

tanghaotommy/Self-supervised-Fewshot-Medical-Image-Segmentation

9ff8cd2421ee2f7c038d8eec15b0296b365e0c46

[ "MIT" ]

14

2020-09-18T02:56:53.000Z

2022-03-16T00:31:12.000Z

util/utils.py

tanghaotommy/Self-supervised-Fewshot-Medical-Image-Segmentation

9ff8cd2421ee2f7c038d8eec15b0296b365e0c46

[ "MIT" ]

29

2020-09-13T20:00:00.000Z

2022-02-11T00:40:00.000Z

"""Util functions Extended from original PANet code TODO: move part of dataset configurations to data_utils """ import random import torch import numpy as np import operator def set_seed(seed): """ Set the random seed """ random.seed(seed) torch.manual_seed(seed) torch.cuda.manual_seed_all(seed...

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0.129489

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3,299

118

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0.723608

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0.2625

0

null

0

null

0

1

0

b626f7b18fa5d92ee89efc8f742da215c496b617

663

py

Python

src/my_project/medium_problems/from1to50/final_prices_with_special_discount_shop.py

ivan1016017/LeetCodeAlgorithmProblems

454284b76634cc34ed41f7fa30d857403cedf1bf

[ "MIT" ]

null

src/my_project/medium_problems/from1to50/final_prices_with_special_discount_shop.py

ivan1016017/LeetCodeAlgorithmProblems

454284b76634cc34ed41f7fa30d857403cedf1bf

[ "MIT" ]

1

2021-09-22T12:26:14.000Z

src/my_project/medium_problems/from1to50/final_prices_with_special_discount_shop.py

ivan1016017/LeetCodeAlgorithmProblems

454284b76634cc34ed41f7fa30d857403cedf1bf

[ "MIT" ]

null

from typing import List class Solution: def finalPrices(self, prices: List[int]) -> List[int]: # initialize variables solution = list() len_prices = len(prices) flag = -1 for i in range(len_prices): flag = -1 for j in range(i+1, len_prices): ...

26.52

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0.052632

0

null

0

null

0

1

0

b627c5785e80c08378e3b966c7612558816085f7

23,226

py

Python

gammapy/estimators/ts_map.py

vikasj78/gammapy

46deb872bbcbf36748df71e659dc3fa592f6dc27

[ "BSD-3-Clause" ]

null

gammapy/estimators/ts_map.py

vikasj78/gammapy

46deb872bbcbf36748df71e659dc3fa592f6dc27

[ "BSD-3-Clause" ]

null

gammapy/estimators/ts_map.py

vikasj78/gammapy

46deb872bbcbf36748df71e659dc3fa592f6dc27

[ "BSD-3-Clause" ]

null

# Licensed under a 3-clause BSD style license - see LICENSE.rst """Functions to compute TS images.""" import functools import logging import warnings import numpy as np import scipy.optimize from astropy.coordinates import Angle from gammapy.datasets.map import MapEvaluator from gammapy.maps import Map, WcsGeom from ga...

31.514247

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0.034589

0.020214

0.30995

0.264356

0.22243

0.199221

0.161189

0

0.008213

0.308017

23,226

736

95

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0

null

0

null

0

1

0

b62a7fea18f8f4556139383b37d4d565e04f0ab2

2,195

py

Python

reporter/factories/slack.py

itsdkey/workreporter

daea921a03f4798c9acd689fc9bc6010e72cf886

[ "MIT" ]

null

reporter/factories/slack.py

itsdkey/workreporter

daea921a03f4798c9acd689fc9bc6010e72cf886

[ "MIT" ]

21

2020-04-04T11:08:20.000Z

2021-01-29T07:58:40.000Z

reporter/factories/slack.py

itsdkey/workreporter

daea921a03f4798c9acd689fc9bc6010e72cf886

[ "MIT" ]

null

import string from factory import Dict, DictFactory, Faker, List from factory.fuzzy import FuzzyChoice, FuzzyText from reporter.apps import __version__ class SectionButtonFactory(DictFactory): """A factory for a section with a button.""" type = 'section' accessory = Dict({ 'text': { ...

24.662921

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2,195

5.947115

0.375

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0.092158

0.10671

0.224737

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0.101859

0

0.001263

0.278815

2,195

88

84

24.943182

0.780164

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0

0.403509

0

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false

0

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0

0.368421

0

null

0

null

0

1

0

b62c3785b8faee0ef4f6c5a2aca7da2f7a1f610d

4,040

py

Python

pybrain/inspect_ops.py

Kevinfu510/TridentFrame

9766b3642ad065662ca428212bfe3f3dca25139d

[ "MIT" ]

null

pybrain/inspect_ops.py

Kevinfu510/TridentFrame

9766b3642ad065662ca428212bfe3f3dca25139d

[ "MIT" ]

null

pybrain/inspect_ops.py

Kevinfu510/TridentFrame

9766b3642ad065662ca428212bfe3f3dca25139d

[ "MIT" ]

null

import os import string import math from random import choices from pprint import pprint from urllib.parse import urlparse from PIL import Image from apng import APNG from colorama import init, deinit from hurry.filesize import size, alternative from .config import IMG_EXTS, STATIC_IMG_EXTS, ANIMATED_IMG_EXTS def _...

35.752212

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0.630446

572

4,040

4.298951

0.225524

0.0366

0.0122

0.02928

0.181781

0.125661

0.102481

0

0.012317

0.256436

4,040

112

108

36.071429

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false

0

0.125

0

0.170455

0.034091

0

null

0

null

0

1

0

b62dc7b9f4a6677f9a7cc3ff035bfd06aa2b42eb

468

py

Python

mlrun/data_types/__init__.py

yanburman/mlrun

f6d2bb1d99d163ab47774f15b86008bfd76f6ba1

[ "Apache-2.0" ]

null

mlrun/data_types/__init__.py

yanburman/mlrun

f6d2bb1d99d163ab47774f15b86008bfd76f6ba1

[ "Apache-2.0" ]

null

mlrun/data_types/__init__.py

yanburman/mlrun

f6d2bb1d99d163ab47774f15b86008bfd76f6ba1

[ "Apache-2.0" ]

null

# flake8: noqa - this is until we take care of the F401 violations with respect to __all__ & sphinx from .data_types import ValueType, pd_schema_to_value_type, InferOptions from .infer import DFDataInfer class BaseDataInfer: infer_schema = None get_preview = None get_stats = None def get_infer_interfa...

24.631579

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468

5.42623

0.721311

0.042296

0

0.01084

0.211538

468

18

101

26

0.886179

0.209402

0

0.008152

0

1

0.090909

false

0

0.272727

0

0.909091

0

null

0

null

0

1

0

b62e64b939d1bd9c03a4b5b970f6b1625a5fffd7

7,942

py

Python

sanity_test.py

C2SM/clim-sanity-checker

3d5d610b16ca7e87c841ef7ad06a94d0399b4773

[ "MIT" ]

null

sanity_test.py

C2SM/clim-sanity-checker

3d5d610b16ca7e87c841ef7ad06a94d0399b4773

[ "MIT" ]

3

2021-07-29T11:26:20.000Z

2021-07-29T16:01:54.000Z

sanity_test.py

C2SM/clim-sanity-checker

3d5d610b16ca7e87c841ef7ad06a94d0399b4773

[ "MIT" ]

null

# standard modules import argparse import os # aliased standard modules import pandas as pd # modules of sanity checker import add_exp_to_ref import lib.paths as paths import lib.utils as utils import perform_test import process_data import lib.logger_config as logger_config import lib.test_config as test_config # a...

33.510549

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7,942

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0

1

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0

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0

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0.006061

0

null

0

null

0

1

0

b6353c0bdb47d9dde56dcc48c5df873e0f1636bc

1,278

py

Python

api/rqst_getter.py

Maziar110/api_client_test

52e5a2ffb0b46be71f34452132b13e5e941ae327

[ "MIT" ]

null

api/rqst_getter.py

Maziar110/api_client_test

52e5a2ffb0b46be71f34452132b13e5e941ae327

[ "MIT" ]

null

api/rqst_getter.py

Maziar110/api_client_test

52e5a2ffb0b46be71f34452132b13e5e941ae327

[ "MIT" ]

null

#!/usr/bin/env python3 from flask import Flask, request from datetime import datetime from flask_opentracing import FlaskTracing from jaeger_client import Config app = Flask(__name__) config = Config(config= { 'sampler': {'type': 'const', 'param': 1}, 'local_agent': {'reporting_host': '172.2.1.5'} }, ...

22.034483

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0.618153

171

1,278

4.444444

0.473684

0.082895

0.055263

0.034211

0

0.013065

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1,278

57

58

22.421053

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0.046512

0

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0

1

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false

0

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0

0.186047

0.093023

0

null

0

null

0

1

0

b636dd98793502ba5f717594cef6b13dafcec083

799

py

Python

packages/core/minos-microservice-common/tests/test_common/test_model/test_abc.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

247

2022-01-24T14:55:30.000Z

2022-03-25T12:06:17.000Z

packages/core/minos-microservice-common/tests/test_common/test_model/test_abc.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

400

2021-04-03T08:51:40.000Z

2022-01-28T11:51:22.000Z

packages/core/minos-microservice-common/tests/test_common/test_model/test_abc.py

sorasful/minos-python

1189330eebf6444627a2af6b29f347670f95a4dd

[ "MIT" ]

21

2022-02-06T17:25:58.000Z

2022-03-27T04:50:29.000Z

import unittest from collections.abc import ( Mapping, ) from uuid import ( UUID, uuid4, ) from minos.common import ( DeclarativeModel, Field, Model, ) from tests.model_classes import ( FooBar, ) class TestModel(unittest.TestCase): def test_base(self): self.assertTrue(issubcla...

19.487805

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0.628285

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5.670588

0.435294

0.043568

0

0.006711

0.254068

799

40

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0.802013

0

0.035044

0

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0.129032

false

0

0.16129

0.032258

0.387097

0

null

0

null

0

1

0

b63706705437012c6dcf007e355dcfa0951e03d3

7,197

py

Python

twitterBattleGame/twitterbattlegame.py

ferrithemaker/makertrends-twitter

6055a2437cf567f14aa513a906615488f7c35549

[ "MIT" ]

null

twitterBattleGame/twitterbattlegame.py

ferrithemaker/makertrends-twitter

6055a2437cf567f14aa513a906615488f7c35549

[ "MIT" ]

null

twitterBattleGame/twitterbattlegame.py

ferrithemaker/makertrends-twitter

6055a2437cf567f14aa513a906615488f7c35549

[ "MIT" ]

null

from tweepy.streaming import StreamListener from tweepy import OAuthHandler from tweepy import Stream import json import threading import sys import pygame import os if len(sys.argv) == 3: search_strings = [sys.argv[1],sys.argv[2]] else: print("Usage: twitterbattlegame.py [TREND1_STRING] [TREND2_STRING]") sys.exit...

25.888489

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0.725163

923

7,197

5.605634

0.266522

0.023193

0.017395

0.024353

0.263433

0.232315

0.209123

0.192888

0.153073

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0.155204

7,197

277

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25.981949

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0

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0

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0.024432

0

1

0.026882

false

0

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0.096774

0.005376

0

null

0

null

0

1

0

b63aa4a552b83a7cbc88ec12fcd658dfebd4cd02

9,346

py

Python

reachyAudio/reachyAudioAnswering.py

sizingservers/ReachyAudio

af91ed57015d693cc942620495541b482728a513

[ "MIT" ]

3

2021-04-28T15:16:50.000Z

2021-11-01T17:36:09.000Z

reachyAudio/reachyAudioAnswering.py

sizingservers/Reachy.Audio

7e515459b72f2bdc05ee73f159d6bcaaabaef6f5

[ "MIT" ]

null

reachyAudio/reachyAudioAnswering.py

sizingservers/Reachy.Audio

7e515459b72f2bdc05ee73f159d6bcaaabaef6f5

[ "MIT" ]

2

2021-11-22T13:43:37.000Z

2022-03-03T09:44:16.000Z

"""This module defines the ReachyAudioAnswering class.""" import nltk import json import torch import random import pickle from nltk.stem.lancaster import LancasterStemmer stemmer = LancasterStemmer() CONFIDENCE_THRESHOLD = 0.7 class ReachyAudioAnswering(): """ReachyAudioAnswering class. Th...

39.770213

80

0.581639

1,123

9,346

4.75512

0.247551

0.023408

0.01573

0.148127

0.113858

0.09176

0.064794

0.035955

0.018727

0

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9,346

234

81

39.940171

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0

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0

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0

1

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false

0

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0

0.153846

0.028846

0

null

0

null

0

1

0

b63abdbbcdf468494ec4d6e1649a366257180326

4,937

py

Python

mlp/mlp.py

sovrasov/mlp_sample

c27aa4893960e3531fb3135148a26fdf75a2f1d2

[ "MIT" ]

null

mlp/mlp.py

sovrasov/mlp_sample

c27aa4893960e3531fb3135148a26fdf75a2f1d2

[ "MIT" ]

null

mlp/mlp.py

sovrasov/mlp_sample

c27aa4893960e3531fb3135148a26fdf75a2f1d2

[ "MIT" ]

null

import numpy as np def softmax(x): ex = np.exp(-x) return ex / np.sum(ex) def relu(x): return x * (x > 0.) def relu_der(x): return np.ones_like(x) * (x > 0.) class MLP: def __init__(self, lr, bs, momentum, verbose, max_iters, eps=0., hidden_dims=[10]): self.layers = [] self.label...

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4,937

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0.24012

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0.164848

0.136244

0.072262

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0.010715

0.300587

4,937

127

134

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0

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0.122642

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0

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0.207547

0

null

0

null

0

1

0

b63d8c3c7c6fd356106b5b059b25964eee3e6080

4,858

py

Python

cap/path.py

ArashLab/CAP

9e6d413e000ebfcade3020985fdedd9aa703d68a

[ "MIT" ]

null

cap/path.py

ArashLab/CAP

9e6d413e000ebfcade3020985fdedd9aa703d68a

[ "MIT" ]

8

2021-06-24T06:08:27.000Z

2021-07-22T03:47:11.000Z

cap/path.py

ArashLab/CAP

9e6d413e000ebfcade3020985fdedd9aa703d68a

[ "MIT" ]

null

import os import subprocess from munch import Munch from .logutil import * from .decorators import * if __name__ == '__main__': print('This module is not executable.') exit(0) FileSystems = [ 'file', 'hdfs', 's3', 'gs', 'mysql', 'http', 'https' ] # If a path could match more th...

27.446328

132

0.550638

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4,858

4.872897

0.257944

0.033755

0.026851

0.03529

0.084388

0.062908

0.037591

0

0.002959

0.304446

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133

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0.768571

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0

0.140501

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false

0

0.035211

0.049296

0.274648

0.007042

0

null

0

null

0

1

0

b640cb56865053f7246a487959ec18a980db1340

1,823

py

Python

main.py

Vivektp/Image-UploadBot-1

01d70d4425d082639e46d954d0b900d478ad29c9

[ "MIT" ]

null

main.py

Vivektp/Image-UploadBot-1

01d70d4425d082639e46d954d0b900d478ad29c9

[ "MIT" ]

null

main.py

Vivektp/Image-UploadBot-1

01d70d4425d082639e46d954d0b900d478ad29c9

[ "MIT" ]

1

2021-01-07T02:26:26.000Z

from pyrogram import Client, filters import os, shutil from creds import my from telegraph import upload_file import logging logging.basicConfig(level=logging.INFO) TGraph = Client( "Image upload bot", bot_token = my.BOT_TOKEN, api_id = my.API_ID, api_hash = my.API_HASH ) @TGraph.o...

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1,823

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0.061433

0

0.002116

0.222161

1,823

48

303

37.979167

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0

0.052632

0.345352

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1

0

false

0

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0

0.157895

0

null

0

null

0

1

0

b64465faae2a9d77dbcd14ac084106824ac896e5

1,237

py

Python

action-server/covidflow/utils/geocoding.py

nuecho/covidflow

050665c629ea46bfebc0920ba1dba841c2268d08

[ "MIT" ]

7

2020-05-23T07:07:26.000Z

2021-11-29T05:58:51.000Z

action-server/covidflow/utils/geocoding.py

dialoguemd/covidflow

b159b76dc68462f272614db4cbf716844872ebca

[ "MIT" ]

210

2020-04-13T17:21:55.000Z

2021-04-20T15:46:26.000Z

action-server/covidflow/utils/geocoding.py

dialoguemd/covidflow

b159b76dc68462f272614db4cbf716844872ebca

[ "MIT" ]

3

2020-04-09T14:38:09.000Z

2020-07-29T15:06:11.000Z

import os from typing import Any, Dict, Optional import googlemaps import structlog from geopy.point import Point logger = structlog.get_logger() DEFAULT_COUNTRY = "CA" GOOGLE_API_KEY_ENV = "GOOGLE_GEOCODING_API_KEY" GEOMETRY = "geometry" LOCATION = "location" LATITUDE = "lat" LONGITUDE = "lng" class Geocoding: ...

26.319149

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5.33557

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0

0.46875

0

null

0

null

0

1

0

b646b8cf155b631e43329c320bbdd520d22b745c

5,319

py

Python

calculadora.py

WelberthyGustavo/Calculadora

2d01dba2db06796c8d237302f3ad024c8be359ea

[ "MIT" ]

4

2020-04-21T01:42:30.000Z

2020-10-26T01:59:33.000Z

calculadora.py

WelberthyGustavo/Calculadora

2d01dba2db06796c8d237302f3ad024c8be359ea

[ "MIT" ]

null

calculadora.py

WelberthyGustavo/Calculadora

2d01dba2db06796c8d237302f3ad024c8be359ea

[ "MIT" ]

null

from functools import partial from tkinter import * #program by~ Welberthy Gustavo Developer def calc(btn): if btn['text'].isdigit() or btn['text'] == '.': lbl['text'] += btn['text'] def soma(): global sinal sinal = 'soma' global valor1 valor1 = lbl['text'] lb...

29.065574

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5,319

4.102094

0.175393

0.080408

0.108488

0.114869

0.457243

0.438098

0.395341

0.328334

0

0.078087

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5,319

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122

29.065574

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0

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0

0.082192

0

null

0

null

0

1

0

b6473eeb720250834546c75004a0f9e6557be8db

1,928

py

Python

fastfood/exc.py

enterstudio/fastfood

6e18500b2d08698f6fa8d9d54daee6aa78f9efd0

[ "Apache-2.0" ]

null

fastfood/exc.py

enterstudio/fastfood

6e18500b2d08698f6fa8d9d54daee6aa78f9efd0

[ "Apache-2.0" ]

null

fastfood/exc.py

enterstudio/fastfood

6e18500b2d08698f6fa8d9d54daee6aa78f9efd0

[ "Apache-2.0" ]

null

# Copyright 2015 Rackspace US, Inc. # # Licensed 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 wri...

26.054054

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0.708506

240

1,928

5.616667

0.554167

0.04451

0.019288

0.023739

0

0.008393

0.196577

1,928

73

77

26.410959

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0

0.08

0

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1

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0

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0

0.32

0

null

0

null

0

1

0

b6476924d1d5ed2df7e1b8fbabacbac62cb195f4

2,320

py

Python

script.py

Freakwill/nb-combination

716227ba22f6c0c404898a00c18362a41ae3c701

[ "MIT" ]

null

script.py

Freakwill/nb-combination

716227ba22f6c0c404898a00c18362a41ae3c701

[ "MIT" ]

null

script.py

Freakwill/nb-combination

716227ba22f6c0c404898a00c18362a41ae3c701

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- from nb_comb import * from sklearn.naive_bayes import * from sklearn.tree import * from sklearn.neural_network import * from sklearn.model_selection import * import pandas as pd data = pd.read_csv('dataset.csv', index_col=0) X, Y = data.iloc[:, :-1], data.iloc[:, -1].va...

31.351351

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0.145305

0.117889

0

0.027055

0.171552

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153

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0.16

0.02

0

null

0

null

0

1

0

b64a9935e9810f6c5f1a61a7b125688afb12a906

3,073

py

Python

corehq/blobs/tests/test_export.py

roboton/commcare-hq

3ccbe59508d98dd1963ca87cf249dd2df8af8ecc

[ "BSD-3-Clause" ]

null

corehq/blobs/tests/test_export.py

roboton/commcare-hq

3ccbe59508d98dd1963ca87cf249dd2df8af8ecc

[ "BSD-3-Clause" ]

1

2021-06-02T04:45:16.000Z

corehq/blobs/tests/test_export.py

roboton/commcare-hq

3ccbe59508d98dd1963ca87cf249dd2df8af8ecc

[ "BSD-3-Clause" ]

null

import os import uuid from io import BytesIO from tempfile import NamedTemporaryFile from zipfile import ZipFile from django.test import TestCase from corehq.apps.hqmedia.models import CommCareAudio, CommCareVideo, CommCareImage from corehq.blobs import CODES, get_blob_db from corehq.blobs.export import EXPORTERS fro...

37.024096

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0.617312

379

3,073

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0.324538

0.043431

0.045603

0.017372

0.248643

0.228013

0.153094

0.115092

0

0.00449

0.275301

3,073

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100

37.47561

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0

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0.057971

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0

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0

0.217391

0

null

0

null

0

1

0

b64f13ebbb17fadf2e674f33e8566118f8aa3dfa

922

py

Python

telescope/utils/annotation.py

froy0212/telescope

05f6f058d8106c86cb4eb62239800ab2261eaaad

[ "MIT" ]

25

2019-05-31T23:27:56.000Z

2022-03-11T07:43:59.000Z

telescope/utils/annotation.py

jianguozhouzunyimedicaluniversity/telescope

6cd55256c6016feffdbfe10346bfecfcb1e30965

[ "MIT" ]

24

2018-12-10T16:44:59.000Z

2022-03-20T19:58:37.000Z

telescope/utils/annotation.py

jianguozhouzunyimedicaluniversity/telescope

6cd55256c6016feffdbfe10346bfecfcb1e30965

[ "MIT" ]

8

2019-09-04T13:45:08.000Z

2022-03-15T15:57:22.000Z

# -*- coding: utf-8 -*- from __future__ import print_function from __future__ import absolute_import __author__ = 'Matthew L. Bendall' __copyright__ = "Copyright (C) 2019 Matthew L. Bendall" def get_annotation_class(annotation_class_name): """ Get Annotation class matching provided name Args: annotat...

34.148148

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0.719089

96

922

6.53125

0.53125

0.191388

0.121212

0

0.006849

0.208243

922

26

76

35.461538

0.852055

0.321041

0

0.22973

0

1

0.083333

false

0

0.25

0

0.416667

0.083333

0

null

0

null

0

1

0

b64f934d0ea49d49f24b9f5e245749b3e6460dfb

6,012

py

Python

web/frontend/views/config.py

tcsvn/activity-assistant

eeb0ef72a046a8a781ff31b384edec8243dd22a7

[ "MIT" ]

45

2020-11-06T20:31:13.000Z

2022-03-24T06:14:18.000Z

web/frontend/views/config.py

tcsvn/activity-assistant

eeb0ef72a046a8a781ff31b384edec8243dd22a7

[ "MIT" ]

10

2020-12-14T00:17:11.000Z

2022-02-06T19:39:01.000Z

web/frontend/views/config.py

tcsvn/activity-assistant

eeb0ef72a046a8a781ff31b384edec8243dd22a7

[ "MIT" ]

3

2020-12-15T22:50:09.000Z

2022-03-13T21:12:28.000Z

from backend.models import * from django.views.generic import TemplateView from django.shortcuts import render, redirect import os import hass_api.rest as hass_rest from frontend.util import get_server, refresh_hass_token, \ get_device_names, get_activity_names, get_person_hass_names, \ get_person_names, input...

33.966102

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0.614604

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6,012

4.747297

0.178378

0.046968

0.031882

0.035867

0.356106

0.299744

0.281526

0.266154

0.221178

0.2078

0

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0.276447

6,012

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0

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0

0.027027

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false

0.006757

0.060811

0.006757

0.243243

0

null

0

null

0

1

0

b650cf8f96e44c66b3acac463da66cefb0635f96

1,843

py

Python

File System/main.py

IRIDIUM-SUB/Sys_Course_Design

52ec96378e9f9c8d7dc366efcba154df3f1cbc67

[ "MIT" ]

null

File System/main.py

IRIDIUM-SUB/Sys_Course_Design

52ec96378e9f9c8d7dc366efcba154df3f1cbc67

[ "MIT" ]

null

File System/main.py

IRIDIUM-SUB/Sys_Course_Design

52ec96378e9f9c8d7dc366efcba154df3f1cbc67

[ "MIT" ]

null

import os from toolbox import * import pickle import logging import commandresolve def console(data:dict,logger): ''' Main console program ''' consoleobj=commandresolve.commandresolve(data,logger) flag=True# to mark if it is time to exit while (flag): rawcommand=input(">") flag=c...

26.710145

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1,843

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0.472906

0.052585

0.039439

0.031551

0.168273

0

0.005908

0.265328

1,843

68

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0.83678

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1

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false

0

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0

0.162791

0.023256

0

null

0

null

0

1

0

b6511db93d9ed485759c7b0e96ca84109e977890

1,428

py

Python

benchmarks/evaluate.py

benetech/Winnow2.0

bc428d7f74bd7db71b6d70ab15dc7a5c37786c46

[ "MIT" ]

26

2019-12-16T21:22:14.000Z

2022-03-25T16:05:32.000Z

benchmarks/evaluate.py

benetech/Winnow2.0

bc428d7f74bd7db71b6d70ab15dc7a5c37786c46

[ "MIT" ]

325

2019-10-28T16:24:45.000Z

2022-03-31T13:12:15.000Z

benchmarks/evaluate.py

benetech/Winnow2.0

bc428d7f74bd7db71b6d70ab15dc7a5c37786c46

[ "MIT" ]

9

2019-10-09T16:20:38.000Z

2021-12-22T18:44:45.000Z

import pandas as pd from glob import glob from utils import evaluate_augmented_dataset, evaluate_landmarks, evaluate_scene_detection import os from winnow.utils.config import resolve_config import click import numpy as np import json pd.options.mode.chained_assignment = None @click.command() @click.option("--benchma...

26.444444

106

0.72549

179

1,428

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0.087912

0.111888

0.215784

0.13986

0.101898

0

0.171569

1,428

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0

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0

0.278711

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false

0

0.210526

0

0.236842

0.026316

0

null

0

null

0

1

0

b653a28ba11c9bc2e835fdedaf5686ad56584df6

909

py

Python

Symmetric/Stream-Cipher/LFSR/script.py

killua4564/Symmetric

183ea2ec1d1342e9124e710a2de0fcad8b399f3d

[ "MIT" ]

1

2021-05-05T14:03:10.000Z

Symmetric/Stream-Cipher/LFSR/script.py

killua4564/Symmetric

183ea2ec1d1342e9124e710a2de0fcad8b399f3d

[ "MIT" ]

null

Symmetric/Stream-Cipher/LFSR/script.py

killua4564/Symmetric

183ea2ec1d1342e9124e710a2de0fcad8b399f3d

[ "MIT" ]

null

from itertools import combinations class LFSR: def __init__(self, register, taps): self.register = register self.taps = taps def next(self): new = 0 ret = self.register[0] for i in self.taps: new ^= self.register[i] self.register = self.register[1:]...

24.567568

86

0.583058

130

909

4

0.338462

0.138462

0.023077

0.069231

0

0.023916

0.264026

909

36

87

25.25

0.753363

0

0.035204

0

1

0.068966

false

0

0.034483

0

0.172414

0.103448

0

null

0

null

0

1

0

b65951eb0ef82ffdc947697f22310dd635865642

4,122

py

Python

src/mapping/cartographer.py

ThomasRanvier/map_maker

e36ddcc7d5959957d83fae778d8ef715c79712e7

[ "MIT" ]

null

src/mapping/cartographer.py

ThomasRanvier/map_maker

e36ddcc7d5959957d83fae778d8ef715c79712e7

[ "MIT" ]

null

src/mapping/cartographer.py

ThomasRanvier/map_maker

e36ddcc7d5959957d83fae778d8ef715c79712e7

[ "MIT" ]

null

from utils.utils import bresenham_line from math import hypot, cos, sin from utils.position import Position class Cartographer: """ Class that implements a Cartographer, used to update the map of the environment using the lasers echoes. """ def __init__(self, lasers_distance = 0.15, min_increment ...

56.465753

161

0.63246

551

4,122

4.408348

0.170599

0.05599

0.065871

0.039522

0.361054

0.333059

0.272952

0.251544

0

0.009266

0.293062

4,122

72

162

57.25

0.824297

0.2705

0

1

0.05

false

0

0.075

0

0.175

0

null

0

null

0

1

0

b659d814fb65cdd70ff97f52711483193c63f987

5,106

py

Python

demosys/opengl/texture.py

Contraz/demosys-py

0479e0f3b0a3901f601bffd2d11e155f97b47555

[ "0BSD" ]

70

2017-03-31T12:01:41.000Z

2022-01-05T06:30:57.000Z

demosys/opengl/texture.py

Contraz/demosys-py

0479e0f3b0a3901f601bffd2d11e155f97b47555

[ "0BSD" ]

69

2017-06-18T22:37:46.000Z

2020-01-23T04:02:22.000Z

demosys/opengl/texture.py

Contraz/demosys-py

0479e0f3b0a3901f601bffd2d11e155f97b47555

[ "0BSD" ]

9

2017-05-13T21:13:02.000Z

2020-10-01T18:09:49.000Z

""" Draw methods for textures and depth textures """ import moderngl from demosys import context, geometry class TextureHelper: """Draw methods for textures and depth textures""" _quad = None _texture2d_shader = None # Type: moderngl.Program _texture2d_sampler = None # Type: moderngl.Sa...

32.316456

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0.526244

560

5,106

4.633929

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0.01079

0.009249

0.006166

0.601156

0.506358

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0.426204

0.383815

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157

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32.522293

0.781515

0.159812

0

0.480769

0

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0.385503

0

1

0.067308

false

0

0.028846

0.019231

0.173077

0

null

0

null

0

1

0

b65c498fb47fab313371a80e39143108433be373

1,136

py

Python

avancado/POO/metaclasses.py

Nataliaartini/cursoPython

01dc9cafd5cef1252ca84503e7a9011bd709ef46

[ "MIT" ]

null

avancado/POO/metaclasses.py

Nataliaartini/cursoPython

01dc9cafd5cef1252ca84503e7a9011bd709ef46

[ "MIT" ]

null

avancado/POO/metaclasses.py

Nataliaartini/cursoPython

01dc9cafd5cef1252ca84503e7a9011bd709ef46

[ "MIT" ]

null

class Meta(type): def __new__(mcs, name, bases, namespace): print(name) if name == "A": return type.__new__(mcs, name, bases, namespace) if "attr_classe" in namespace: print(f"{name} tentou sobrescrever o atributo attr_classe") del namespace["attr_classe"...

25.818182

102

0.601232

164

1,136

4.006098

0.365854

0.106545

0.045662

0.068493

0.14003

0.103501

0

0.277289

1,136

43

103

26.418605

0.800244

0.141725

0

0.066667

0

0.218557

0

1

0.1

false

0

0.333333

0.3

0

null

0

null

0

1

0

b65c6b66aba642829f6360c17136a6c5c24bf822

1,787

py

Python

local_telegramListener/main.py

pratijayguha/AutomatedLightingControl

0ce3b275b2734deb1695a28e43417784184dde84

[ "MIT" ]

null

local_telegramListener/main.py

pratijayguha/AutomatedLightingControl

0ce3b275b2734deb1695a28e43417784184dde84

[ "MIT" ]

null

local_telegramListener/main.py

pratijayguha/AutomatedLightingControl

0ce3b275b2734deb1695a28e43417784184dde84

[ "MIT" ]

null

from utils import * from bot import telegram_chatbot from bulb import * bot = telegram_chatbot(CONFIG_LOCATION) print('Initialized Bot') bulb = bulb(IP_RANGE) print('Connected to bulb. IP address: {}'.format(bulb.address)) while True: updates = bot.get_updates(offset=update_id) updates = updates["r...

36.469388

113

0.476777

175

1,787

4.771429

0.405714

0.052695

0.035928

0.045509

0.179641

0.064671

0

0.000986

0.432569

1,787

48

114

37.229167

0.822485

0.029099

0

0.125

0

0.213436

0

1

0

false

0

0.075

0

0.075

0

null

0

null

0

1

0

b65c74d6a744f8c2e4b55ae69055df5a4d973d76

5,365

py

Python

engines/email_engine.py

dho-IOD/futu_algo

f4bdf5edcc261efbd252e9e9c53a89563b0ed68f

[ "Apache-2.0" ]

66

2020-12-29T15:03:21.000Z

2022-03-29T01:24:59.000Z

engines/email_engine.py

dho-IOD/futu_algo

f4bdf5edcc261efbd252e9e9c53a89563b0ed68f

[ "Apache-2.0" ]

22

2020-12-29T16:57:03.000Z

2022-03-01T08:23:37.000Z

engines/email_engine.py

dho-IOD/futu_algo

f4bdf5edcc261efbd252e9e9c53a89563b0ed68f

[ "Apache-2.0" ]

30

2021-01-07T07:33:22.000Z

2022-03-17T11:37:02.000Z

# Futu Algo: Algorithmic High-Frequency Trading Framework # # Licensed 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 appli...

33.742138

115

0.569618

614

5,365

4.938111

0.423453

0.03562

0.026385

0.029683

0.047493

0.031003

0

0.016816

0.312768

5,365

158

116

33.955696

0.805533

0.192917

0

0.0625

0

0.008929

0.578037

0.085047

0

1

0.017857

false

0.026786

0.071429

0

0.098214

0

null

0

null

0

1

0

b65ddb5d9166291914db0e277ccb00ba1af84adc

502

py

Python

ex03/ex03.py

cheng10/PythonExerciseBook

11250020995c29e819540de787e91845b1bbbd99

[ "MIT" ]

null

ex03/ex03.py

cheng10/PythonExerciseBook

11250020995c29e819540de787e91845b1bbbd99

[ "MIT" ]

null

ex03/ex03.py

cheng10/PythonExerciseBook

11250020995c29e819540de787e91845b1bbbd99

[ "MIT" ]

null

import string import random import redis alpha = string.ascii_uppercase l = [] while len(l) < 100: res = '' for i in range(16): a = random.choice(alpha) n = str(random.randrange(10)) rand = random.choice([a, n]) res += rand if res not in l: l.append(res) # ...

16.733333

56

0.589641

77

502

3.831169

0.558442

0.027119

0

0.03252

0.26494

502

29

57

17.310345

0.766938

0.01992

0

0.067347

0

1

0

false

0

0.142857

0

0.142857

0.190476

0

null

0

null

0

1

0

b65e15ab134dbca7c02ad041522ed4d0b673d08e

355

py

Python

setup.py

hoogamaphone/world-manager

8d4515b93d303cf91626f69257e7cf00e200807a

[ "MIT" ]

null

setup.py

hoogamaphone/world-manager

8d4515b93d303cf91626f69257e7cf00e200807a

[ "MIT" ]

null

setup.py

hoogamaphone/world-manager

8d4515b93d303cf91626f69257e7cf00e200807a

[ "MIT" ]

null

from setuptools import setup, find_packages with open('requirements.txt') as f: requirements = f.read() setup( name='World-Manager-CLI', version='0.1.0', packages=find_packages(), include_package_data=True, install_requires=requirements, entry_points=""" [console_scripts] w...

22.1875

43

0.664789

43

355

5.325581

0.697674

0.104803

0.131004

0

0.010601

0.202817

355

16

44

22.1875

0.798587

0

0.289326

0.070225

0

1

0

false

0

0.071429

0

0.071429

0

null

0

null

0

1

0

b65f74632dad7cb7cddacb4494d3a9d432840a4d

1,886

py

Python

main.py

Jelloeater/8266_web-relay

ac61a21bdfb1d6ff88be095f95059061f273c7b8

[ "MIT" ]

null

main.py

Jelloeater/8266_web-relay

ac61a21bdfb1d6ff88be095f95059061f273c7b8

[ "MIT" ]

null

main.py

Jelloeater/8266_web-relay

ac61a21bdfb1d6ff88be095f95059061f273c7b8

[ "MIT" ]

null

import socket import ure as re import time import machine def run(): # Standard socket stuff: host = '' port = 80 sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.bind((host, port)) sock.listen(1) # don't queue up any requests while True: csock, caddr = sock.accept() ...

25.486486

108

0.544539

255

1,886

3.972549

0.364706

0.053307

0.035538

0.075025

0.347483

0.306022

0.256663

0.16387

0.082922

0

0.026966

0.292153

1,886

73

109

25.835616

0.731835

0.039767

0

0.190476

0

0.39845

0.061981

0

1

0.047619

false

0

0.079365

0

0.142857

0.095238

0

null

0

null

0

1

0

b6621346c805c1e140f63c6f56323e6a373a58b0

1,744

py

Python

src_para/params.py

david-yoon/detecting-incongruity

2e121fdba0da3a6a0c63df0c46a101a789fe7565

[ "MIT" ]

36

2018-11-25T21:43:10.000Z

2022-03-13T10:47:50.000Z

src_para/params.py

david-yoon/detecting-incongruity

2e121fdba0da3a6a0c63df0c46a101a789fe7565

[ "MIT" ]

1

2019-06-16T07:45:47.000Z

2019-10-14T06:00:29.000Z

src_para/params.py

david-yoon/detecting-incongruity

2e121fdba0da3a6a0c63df0c46a101a789fe7565

[ "MIT" ]

5

2018-12-09T06:40:19.000Z

2019-10-17T22:07:58.000Z

class Params: ################################ # dataset ################################ DATA_DIR = '../data/' DATA_TRAIN_TITLE = 'train/train_title.npy' DATA_TRAIN_BODY = 'train/train_body.npy' DATA_TRAIN_LABEL = 'train/train_label.npy' DATA_DEV_TITLE = 'dev/dev_title.n...

26.830769

60

0.469037

193

1,744

3.818653

0.373057

0.066486

0.048847

0

0.02385

0.326835

1,744

64

61

27.25

0.603918

0.053899

0

0.15736

0.065265

0

1

0

false

0

1

0

null

0

null

0

1

0

b66267420e208edbe695e88c08255da8fc98c717

1,011

py

Python

baselayer/services/webpack.py

yaowenxi/cesium

b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee

[ "BSD-3-Clause" ]

null

baselayer/services/webpack.py

yaowenxi/cesium

b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee

[ "BSD-3-Clause" ]

6

2020-07-17T08:50:22.000Z

2022-02-26T11:56:52.000Z

baselayer/services/webpack.py

yaowenxi/cesium

b87c8bcafc8a7707877f8b9e9b111a2a99b5aeee

[ "BSD-3-Clause" ]

null

# encoding: utf-8 from baselayer.app.env import load_env import subprocess import sys import time import os from pathlib import Path env, cfg = load_env() bundle = Path(os.path.dirname(__file__))/'../../static/build/bundle.js' def run(cmd): print("开始了") p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stde...

25.923077

78

0.672601

144

1,011

4.659722

0.534722

0.083458

0.084948

0.044709

0.154993

0.074516

0

0.004813

0.178042

1,011

38

79

26.605263

0.802647

0.088032

0

0.071429

0

0.314815

0.089325

0

1

0.035714

false

0

0.214286

0

0.285714

0.178571

0

null

0

null

0

1

0

b662cf2d0ef7d2f3d75fe691f2648a210b3ef79c

2,911

py

Python

tests/test_interfaces/test_to_binary.py

softwareunderground/subsurface

ad5a6d2d24e710ce7a78ec99b2075ddbb9dfeb7d

[ "Apache-2.0" ]

55

2019-05-09T12:26:28.000Z

2021-11-05T07:35:15.000Z

tests/test_interfaces/test_to_binary.py

softwareunderground/subsurface

ad5a6d2d24e710ce7a78ec99b2075ddbb9dfeb7d

[ "Apache-2.0" ]

33

2019-05-09T16:28:19.000Z

2022-03-30T13:40:21.000Z

tests/test_interfaces/test_to_binary.py

softwareunderground/subsurface

ad5a6d2d24e710ce7a78ec99b2075ddbb9dfeb7d

[ "Apache-2.0" ]

14

2019-05-09T12:26:33.000Z

2021-09-01T11:31:27.000Z

import imageio import pytest from subsurface.reader.read_netcdf import read_unstruct import json try: import geopandas as gpd GEOPANDAS_IMPORTED = True except ImportError: GEOPANDAS_IMPORTED = False import pytest import numpy as np from subsurface import UnstructuredData, TriSurf, StructuredData from subs...

30.010309

98

0.671591

401

2,911

4.643392

0.254364

0.058002

0.064447

0.067669

0.336735

0.2116

0.093448

0.061224

0

0.010748

0.200962

2,911

96

99

30.322917

0.789768

0

0.166667

0

0.109584

0.017863

0

1

0.055556

false

0

0.222222

0

0.319444

0.013889

0

null

0

null

0

1

0

b666f9a2122d3e6d0251d1209907ba2b321af8c4

7,243

py

Python

ticketsplease/ticketsplease/modules/adfs/envelope/sct.py

secureworks/whiskeysamlandfriends

9334d0959aef64c06a716a5ed2e4f5582ab44a26

[ "Apache-2.0" ]

30

2021-11-10T16:28:34.000Z

2022-03-03T19:46:21.000Z

ticketsplease/ticketsplease/modules/adfs/envelope/sct.py

secureworks/whiskeysamlandfriends

9334d0959aef64c06a716a5ed2e4f5582ab44a26

[ "Apache-2.0" ]

null

ticketsplease/ticketsplease/modules/adfs/envelope/sct.py

secureworks/whiskeysamlandfriends

9334d0959aef64c06a716a5ed2e4f5582ab44a26

[ "Apache-2.0" ]

4

2021-11-11T19:29:11.000Z

2021-11-15T15:56:57.000Z

# Copyright 2021 Secureworks # # Licensed 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, ...

35.856436

477

0.620875

818

7,243

5.438875

0.304401

0.046977

0.02922

0.034615

0.205664

0.194426

0.152619

0.12677

0.080917

0

0.030217

0.268949

7,243

201

478

36.034826

0.810009

0.312992

0

0.190909

0

0.009091

0.290131

0.097628

0

1

0.027273

false

0

0.063636

0

0.127273

0

null

0

null

0

1

0