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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fcff3d85fe99542b6a26eb81efd2192cd0645652 | 622 | py | Python | src/mono_test.py | hb-jones/rp1-ros | afc2888f5da7a2b4cc6d9e07ce017f26996e58c3 | [
"Apache-2.0"
] | null | null | null | src/mono_test.py | hb-jones/rp1-ros | afc2888f5da7a2b4cc6d9e07ce017f26996e58c3 | [
"Apache-2.0"
] | null | null | null | src/mono_test.py | hb-jones/rp1-ros | afc2888f5da7a2b4cc6d9e07ce017f26996e58c3 | [
"Apache-2.0"
] | null | null | null | import time, cv2, json
from vision.monocular import Monocular, test_publisher_pixel_coordinate
def test_func(var):
return
def main():
cam = Monocular(test_publisher_pixel_coordinate)
#cam = Monocular(test_func)
cam.start_loop()
cam.debug_mode = True
cam.debug_type = "cont"
ti... | 23.923077 | 72 | 0.622186 | 83 | 622 | 4.39759 | 0.590361 | 0.106849 | 0.120548 | 0.147945 | 0.20274 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017817 | 0.278135 | 622 | 25 | 73 | 24.88 | 0.7951 | 0.099678 | 0 | 0 | 0 | 0 | 0.046904 | 0 | 0 | 0 | 0.007505 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0.055556 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fcffe22efcddd524aff30bbd278fd51ef10be4d7 | 1,301 | py | Python | modules/input_output.py | hhandika/journal-unlocker | b35133565c991688c726643949a102beefdedfc8 | [
"MIT"
] | 1 | 2020-11-29T08:10:16.000Z | 2020-11-29T08:10:16.000Z | modules/input_output.py | hhandika/journal-unlocker | b35133565c991688c726643949a102beefdedfc8 | [
"MIT"
] | null | null | null | modules/input_output.py | hhandika/journal-unlocker | b35133565c991688c726643949a102beefdedfc8 | [
"MIT"
] | null | null | null | import webbrowser as wb
from modules import converter
class UserInput(converter.LinkConverter):
def __init__(self, libs, url):
self.libs = libs
self.url = url
def _invalid_input(self):
print(f"\x1b[0;31mERROR: \x1b[0m{self.url} is invalid URL\n")
print("Please, enter a val... | 30.255814 | 72 | 0.597233 | 169 | 1,301 | 4.384615 | 0.325444 | 0.075574 | 0.052632 | 0.08637 | 0.118758 | 0.118758 | 0.118758 | 0.118758 | 0.118758 | 0.118758 | 0 | 0.010823 | 0.289777 | 1,301 | 43 | 73 | 30.255814 | 0.791126 | 0 | 0 | 0.171429 | 0 | 0.028571 | 0.162826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.057143 | 0 | 0.285714 | 0.114286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e011925c6302c4ad1c6ff5f9211ec00aafbb0c5 | 959 | py | Python | tests/file_iterators/test_trillian_xml.py | mtlynch/chat_unifier | 7449ca4f2dd48d8b76fc29e150643076dd0b3334 | [
"MIT"
] | 2 | 2018-10-16T18:39:06.000Z | 2019-01-22T01:38:09.000Z | tests/file_iterators/test_trillian_xml.py | mtlynch/chat_unifier | 7449ca4f2dd48d8b76fc29e150643076dd0b3334 | [
"MIT"
] | 2 | 2018-10-19T00:00:21.000Z | 2018-10-19T17:15:25.000Z | tests/file_iterators/test_trillian_xml.py | mtlynch/chat_unifier | 7449ca4f2dd48d8b76fc29e150643076dd0b3334 | [
"MIT"
] | null | null | null | import os
import unittest
import mock
from chat_unifier.file_iterators import trillian_xml
class TrillianXmlFileIteratorTest(unittest.TestCase):
def setUp(self):
self.maxDiff = None
def test_picks_correct_trillian_log_files(self):
with mock.patch.object(os, 'walk') as mock_walk:
... | 33.068966 | 68 | 0.552659 | 95 | 959 | 5.442105 | 0.484211 | 0.067698 | 0.092843 | 0.096712 | 0.108317 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035451 | 0.294056 | 959 | 28 | 69 | 34.25 | 0.728213 | 0 | 0 | 0 | 0 | 0 | 0.271116 | 0.118874 | 0 | 0 | 0 | 0 | 0.045455 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e037702ba339edd20a07331a6e5b456dd7810a0 | 952 | py | Python | SpriteSheetPacker/packer.py | ithilelda/ModLoaderLite | 14899f8d1a406563600c2abe76ac1a2c58c6135d | [
"MIT"
] | 1 | 2022-01-19T05:16:02.000Z | 2022-01-19T05:16:02.000Z | SpriteSheetPacker/packer.py | ithilelda/ModLoaderLite | 14899f8d1a406563600c2abe76ac1a2c58c6135d | [
"MIT"
] | null | null | null | SpriteSheetPacker/packer.py | ithilelda/ModLoaderLite | 14899f8d1a406563600c2abe76ac1a2c58c6135d | [
"MIT"
] | null | null | null | import os
import math
from PIL import Image
def pack_directory(path):
def name_comparer(entry):
return int(entry.name.strip('image .png'))
files = [e for e in os.scandir(path) if e.name.endswith('png') and not e.name.startswith('output')]
files.reverse()
images = [Image.open(e.path) for e in ... | 28.848485 | 103 | 0.582983 | 152 | 952 | 3.592105 | 0.375 | 0.03663 | 0.032967 | 0.065934 | 0.047619 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017291 | 0.271008 | 952 | 33 | 104 | 28.848485 | 0.769452 | 0 | 0 | 0 | 0 | 0 | 0.050367 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.107143 | 0.035714 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e047aa179f50c2fad3a719fb925ab7747594f6a | 9,184 | py | Python | basedir/__init__.py | fenhl/python-xdg-basedir | 17032de6c9728ddba5c40a983c50088d69dc631e | [
"MIT"
] | null | null | null | basedir/__init__.py | fenhl/python-xdg-basedir | 17032de6c9728ddba5c40a983c50088d69dc631e | [
"MIT"
] | null | null | null | basedir/__init__.py | fenhl/python-xdg-basedir | 17032de6c9728ddba5c40a983c50088d69dc631e | [
"MIT"
] | null | null | null | import collections.abc
import json
import os
import os.path
import pathlib
import subprocess
def parse_version_string():
path = pathlib.Path(__file__).resolve().parent # go up one level, from repo/basedir.py to repo, where README.md is located
try:
version = subprocess.check_output(['git', 'rev-parse',... | 39.416309 | 351 | 0.582753 | 1,171 | 9,184 | 4.457728 | 0.179334 | 0.062069 | 0.058238 | 0.028736 | 0.472797 | 0.44387 | 0.402107 | 0.382184 | 0.318582 | 0.283142 | 0 | 0.000643 | 0.323062 | 9,184 | 232 | 352 | 39.586207 | 0.83899 | 0.157557 | 0 | 0.420455 | 0 | 0 | 0.035605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0.017045 | 0.045455 | 0.039773 | 0.369318 | 0.005682 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e054a3c6b84d4385ce18db1a386851ca484d0f1 | 2,861 | py | Python | convert_to_tf_records.py | andreweskeclarke/toxic_kaggle | e761f4aad0688423bdbe4098fe7efddddea4b0d9 | [
"MIT"
] | null | null | null | convert_to_tf_records.py | andreweskeclarke/toxic_kaggle | e761f4aad0688423bdbe4098fe7efddddea4b0d9 | [
"MIT"
] | null | null | null | convert_to_tf_records.py | andreweskeclarke/toxic_kaggle | e761f4aad0688423bdbe4098fe7efddddea4b0d9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
import collections
import csv
import tensorflow as tf
import numpy as np
from google_research.bert.tokenizer import FullTokenizer
def main():
MAX_SEQUENCE_LENGTH = 512
parser = argparse.ArgumentParser()
parser.add_argument('--do_lower_case', action='store_true')
... | 47.683333 | 110 | 0.645928 | 350 | 2,861 | 5.065714 | 0.314286 | 0.047377 | 0.05753 | 0.053582 | 0.347434 | 0.279752 | 0.259447 | 0.19797 | 0.19797 | 0.173153 | 0 | 0.016026 | 0.236631 | 2,861 | 59 | 111 | 48.491525 | 0.795788 | 0.00734 | 0 | 0.055556 | 0 | 0 | 0.130328 | 0.016203 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018519 | false | 0 | 0.111111 | 0 | 0.12963 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e05fc418915f277ab4a685fd9b838701e4c7fe8 | 14,246 | py | Python | fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py | vkirilenko/FEDOT | d287d899e47fe5aebf52c12733892e103b75842b | [
"BSD-3-Clause"
] | 1 | 2021-11-09T10:24:38.000Z | 2021-11-09T10:24:38.000Z | fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py | vkirilenko/FEDOT | d287d899e47fe5aebf52c12733892e103b75842b | [
"BSD-3-Clause"
] | null | null | null | fedot/core/operations/evaluation/operation_implementations/data_operations/sklearn_transformations.py | vkirilenko/FEDOT | d287d899e47fe5aebf52c12733892e103b75842b | [
"BSD-3-Clause"
] | null | null | null | from typing import Optional
import numpy as np
from sklearn.decomposition import KernelPCA, PCA
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import MinMaxScaler, OneHotEncoder, PolynomialFeatures, StandardScaler
from fedot.core.data.data import InputData
from fedot.core.data.data import data_ha... | 38.711957 | 116 | 0.653727 | 1,536 | 14,246 | 5.835286 | 0.132161 | 0.045186 | 0.03414 | 0.018967 | 0.548142 | 0.507308 | 0.444382 | 0.427982 | 0.382573 | 0.361821 | 0 | 0.002312 | 0.271374 | 14,246 | 367 | 117 | 38.817439 | 0.861175 | 0.240418 | 0 | 0.462687 | 0 | 0 | 0.017469 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119403 | false | 0.004975 | 0.039801 | 0.024876 | 0.258706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e08575a33b1bf77c5ac73909e8b814796a5d007 | 421 | py | Python | json_extract.py | Puratinamu/Application-Document-Generator | 6e6068fc8f360f8b2ccd15ca66d028ad37055593 | [
"Apache-2.0"
] | 1 | 2019-03-01T18:10:56.000Z | 2019-03-01T18:10:56.000Z | json_extract.py | Puratinamu/Application-Document-Generator | 6e6068fc8f360f8b2ccd15ca66d028ad37055593 | [
"Apache-2.0"
] | null | null | null | json_extract.py | Puratinamu/Application-Document-Generator | 6e6068fc8f360f8b2ccd15ca66d028ad37055593 | [
"Apache-2.0"
] | null | null | null | import json
def extract(filename):
''' (str) -> list of object
Given the filename of a JSON file in the current directory, extract and return
its data.
:param filename: name of the JSON file:
:return data: data extracted from the JSON file:
'''
file = open(filename, 'r')
json_decode = ... | 24.764706 | 82 | 0.64133 | 60 | 421 | 4.466667 | 0.516667 | 0.089552 | 0.08209 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.268409 | 421 | 16 | 83 | 26.3125 | 0.87013 | 0.477435 | 0 | 0 | 0 | 0 | 0.005208 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e0a45dc70c943024981f87b2475e50be7bce1eb | 1,990 | py | Python | src/DataExploration/Python/PHE_PracticeProfileIndicators_Analysis.py | shashidarette/healthcare_dataviz | f638a60b3e3f31e68704fe73cce700e01bf25dfe | [
"MIT"
] | null | null | null | src/DataExploration/Python/PHE_PracticeProfileIndicators_Analysis.py | shashidarette/healthcare_dataviz | f638a60b3e3f31e68704fe73cce700e01bf25dfe | [
"MIT"
] | null | null | null | src/DataExploration/Python/PHE_PracticeProfileIndicators_Analysis.py | shashidarette/healthcare_dataviz | f638a60b3e3f31e68704fe73cce700e01bf25dfe | [
"MIT"
] | null | null | null |
# coding: utf-8
# ## This notebook is to analyse the practice indicators available from PHE dataset
# In[1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# In[2]:
# General Practice Indicators from PHE (It includes England, CCG level indicators as well)
GPIndicat... | 16.722689 | 127 | 0.711055 | 288 | 1,990 | 4.767361 | 0.395833 | 0.025492 | 0.045885 | 0.03496 | 0.186453 | 0.16606 | 0.16606 | 0 | 0 | 0 | 0 | 0.039883 | 0.143216 | 1,990 | 118 | 128 | 16.864407 | 0.765396 | 0.273869 | 0 | 0 | 0 | 0 | 0.283286 | 0.111898 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.129032 | 0 | 0.129032 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e0a8cd86646fb6782dcda7592bb726bc8b672cd | 656 | py | Python | python/agenciesModule.py | leomaurodesenv/travel-dataset-generator | 6d97012ea50ab94d8513cd4d4a5b17d36fa94469 | [
"CC-BY-4.0"
] | 3 | 2019-09-24T20:53:21.000Z | 2021-07-06T17:39:01.000Z | python/agenciesModule.py | leomaurodesenv/travel-dataset-generator | 6d97012ea50ab94d8513cd4d4a5b17d36fa94469 | [
"CC-BY-4.0"
] | null | null | null | python/agenciesModule.py | leomaurodesenv/travel-dataset-generator | 6d97012ea50ab94d8513cd4d4a5b17d36fa94469 | [
"CC-BY-4.0"
] | 2 | 2019-09-24T20:57:11.000Z | 2020-02-28T15:07:55.000Z | #- Import packages
import random
'''
@module: Travel Dataset Generator
@authors: Leonardo Mauro <leomaurodesenv>
@link: https://github.com/Argo-Solutions/travel-dataset-generator GitHub
@license: Creative Commons BY License
@copyright: 2019 Argo Solutions
@access: public
'''
#- Functions
def funcAgencyGenerator(flig... | 26.24 | 72 | 0.71189 | 75 | 656 | 6.226667 | 0.693333 | 0.055675 | 0.094218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009158 | 0.167683 | 656 | 24 | 73 | 27.333333 | 0.846154 | 0.178354 | 0 | 0 | 0 | 0 | 0.018182 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e18059d12840f8a0185aebcabdddc4603c7b343 | 9,891 | py | Python | test/graph/test_graph.py | openeuler-mirror/pkgship | 5aaa4953023fde8ff03892fe5608f0711a26a942 | [
"MulanPSL-1.0"
] | null | null | null | test/graph/test_graph.py | openeuler-mirror/pkgship | 5aaa4953023fde8ff03892fe5608f0711a26a942 | [
"MulanPSL-1.0"
] | null | null | null | test/graph/test_graph.py | openeuler-mirror/pkgship | 5aaa4953023fde8ff03892fe5608f0711a26a942 | [
"MulanPSL-1.0"
] | 1 | 2021-11-20T00:10:53.000Z | 2021-11-20T00:10:53.000Z | #!/usr/bin/python3
# ******************************************************************************
# Copyright (c) Huawei Technologies Co., Ltd. 2020-2020. All rights reserved.
# licensed under the Mulan PSL v2.
# You can use this software according to the terms and conditions of the Mulan PSL v2.
# You may obtain a c... | 35.967273 | 98 | 0.652512 | 1,151 | 9,891 | 5.384883 | 0.159861 | 0.116167 | 0.049371 | 0.0697 | 0.583898 | 0.516618 | 0.502097 | 0.493062 | 0.481284 | 0.481284 | 0 | 0.005202 | 0.222526 | 9,891 | 274 | 99 | 36.09854 | 0.80078 | 0.15873 | 0 | 0.295302 | 0 | 0 | 0.20254 | 0.159056 | 0 | 0 | 0 | 0 | 0.006711 | 1 | 0.174497 | false | 0 | 0.040268 | 0 | 0.355705 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e1b73599dd7ea98dc2b2062486c37f98c1e9a64 | 15,070 | py | Python | gym_electric_motor/physical_systems/physical_systems.py | zizai/gym-electric-motor | 48a0232edf3474e441453126df0f52dc391aed11 | [
"MIT"
] | null | null | null | gym_electric_motor/physical_systems/physical_systems.py | zizai/gym-electric-motor | 48a0232edf3474e441453126df0f52dc391aed11 | [
"MIT"
] | null | null | null | gym_electric_motor/physical_systems/physical_systems.py | zizai/gym-electric-motor | 48a0232edf3474e441453126df0f52dc391aed11 | [
"MIT"
] | null | null | null | import numpy as np
from gym.spaces import Box
from ..core import PhysicalSystem
from ..physical_systems import electric_motors as em, mechanical_loads as ml, converters as cv, \
voltage_supplies as vs, noise_generators as ng, solvers as sv
from ..utils import instantiate, set_state_array
class SCMLSyste... | 40.951087 | 121 | 0.633842 | 1,845 | 15,070 | 4.853659 | 0.125203 | 0.032161 | 0.050921 | 0.0134 | 0.395757 | 0.33646 | 0.282747 | 0.238638 | 0.21876 | 0.21876 | 0 | 0.003581 | 0.277372 | 15,070 | 367 | 122 | 41.06267 | 0.818733 | 0.172661 | 0 | 0.297872 | 0 | 0 | 0.010695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123404 | false | 0 | 0.021277 | 0.021277 | 0.26383 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e1f1f99e22282cac2d668c68acaa5cc5f58efad | 961 | py | Python | start_trouper.py | meltaxa/troupe | fbec6cec09ced6c29695a0741420cb61893134d3 | [
"MIT"
] | 28 | 2020-10-03T02:20:13.000Z | 2021-11-12T11:26:23.000Z | start_trouper.py | meltaxa/troupe | fbec6cec09ced6c29695a0741420cb61893134d3 | [
"MIT"
] | null | null | null | start_trouper.py | meltaxa/troupe | fbec6cec09ced6c29695a0741420cb61893134d3 | [
"MIT"
] | 7 | 2020-10-03T09:11:43.000Z | 2021-01-29T06:45:46.000Z | #!/usr/bin/env python3
from slackbot.bot import Bot
import logging
import socket
import uuid
import os
# If you are running multiple homeops bots on the same server enable
# unique device names.
unique_device_names = False
if unique_device_names:
os.environ['DEVICE_NAME'] = '{}-{}'.format(socket.gethostname(),
... | 25.289474 | 75 | 0.651405 | 123 | 961 | 4.902439 | 0.504065 | 0.149254 | 0.084577 | 0.079602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002618 | 0.204995 | 961 | 37 | 76 | 25.972973 | 0.786649 | 0.190427 | 0 | 0 | 0 | 0 | 0.173127 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.208333 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e1fceddc66231ee1517373a6448d3a3f572702e | 713 | py | Python | test/jit/test_ivalue.py | YifanShenSZ/pytorch | b4232f7cbe407909f9d95b91304c73fdc4c66a50 | [
"Intel"
] | null | null | null | test/jit/test_ivalue.py | YifanShenSZ/pytorch | b4232f7cbe407909f9d95b91304c73fdc4c66a50 | [
"Intel"
] | null | null | null | test/jit/test_ivalue.py | YifanShenSZ/pytorch | b4232f7cbe407909f9d95b91304c73fdc4c66a50 | [
"Intel"
] | null | null | null | # Owner(s): ["oncall: jit"]
import os
import sys
import torch
# Make the helper files in test/ importable
pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(pytorch_test_dir)
from torch.testing._internal.jit_utils import JitTestCase
if __name__ == "__main__":
raise R... | 25.464286 | 79 | 0.680224 | 101 | 713 | 4.594059 | 0.60396 | 0.038793 | 0.060345 | 0.064655 | 0.068966 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003521 | 0.203366 | 713 | 27 | 80 | 26.407407 | 0.81338 | 0.137447 | 0 | 0 | 0 | 0 | 0.180033 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0.055556 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e2079ace258f371ce2dd6d8234af7c77fb15387 | 3,457 | py | Python | 12/common.py | KorotkiyEugene/dsp_sdr_basic | 2aa4b22427b638f09c85948ccf442faba573a29f | [
"MIT"
] | 7 | 2021-05-16T22:34:15.000Z | 2022-02-19T17:19:32.000Z | 12/common.py | KorotkiyEugene/dsp_sdr_basic | 78a77736d0c33951d782f6889884633e4a42c5bd | [
"MIT"
] | null | null | null | 12/common.py | KorotkiyEugene/dsp_sdr_basic | 78a77736d0c33951d782f6889884633e4a42c5bd | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import math
from scipy.io.wavfile import read as read_wav
from scipy.io.wavfile import write as write_wav
from scipy.fftpack import fft, fftshift
from scipy.signal import lfilter, firwin
def filt(sig, Fc=0.5, NFIR=101):
fir_taps = firwin(NFIR, Fc, window=('blackma... | 30.06087 | 73 | 0.633497 | 552 | 3,457 | 3.766304 | 0.240942 | 0.034632 | 0.01924 | 0.027417 | 0.295334 | 0.190957 | 0.190957 | 0.172679 | 0.172679 | 0.113035 | 0 | 0.034642 | 0.248481 | 3,457 | 115 | 74 | 30.06087 | 0.765589 | 0.033844 | 0 | 0.155556 | 0 | 0 | 0.014984 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.077778 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e233744186d29b648450453c95858ec334e1c71 | 3,769 | py | Python | automix/config.py | MZehren/Automix | dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43 | [
"MIT"
] | 18 | 2020-07-20T01:51:40.000Z | 2022-02-25T07:32:11.000Z | automix/config.py | MZehren/Automix | dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43 | [
"MIT"
] | 2 | 2021-03-23T03:26:02.000Z | 2021-07-19T12:51:25.000Z | automix/config.py | MZehren/Automix | dfaa00a9e7c5c0938c0a9d275c07f3a3e5f87e43 | [
"MIT"
] | 5 | 2021-01-03T15:34:28.000Z | 2022-02-22T06:07:06.000Z | """
TODO: Move the functions to the correct location
"""
import logging as log
import os
DATASET_LOCATION = "/home/mickael/Documents/programming/dj-tracks-switch-points/"
CACHE_LOCATION = "../annotations/"
CACHE_LEVEL = 0
LOG_LEVEL = log.DEBUG
log.getLogger().setLevel(LOG_LEVEL)
def k_fold_split(X, Y, k=10, shuffle... | 33.353982 | 124 | 0.633059 | 495 | 3,769 | 4.763636 | 0.331313 | 0.017812 | 0.022053 | 0.025445 | 0.194656 | 0.148431 | 0.148431 | 0.122986 | 0.067006 | 0.034775 | 0 | 0.008219 | 0.225259 | 3,769 | 112 | 125 | 33.651786 | 0.799315 | 0.215972 | 0 | 0.0625 | 0 | 0 | 0.083129 | 0.021045 | 0 | 0 | 0 | 0.008929 | 0.015625 | 1 | 0.109375 | false | 0 | 0.046875 | 0 | 0.328125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e25a796cccb23405dd95548e2edaa9a7d0b72fc | 2,342 | py | Python | saleor/graphql/rider/mutations.py | WarHawk007/erocerytest | 0f481e08012eaf2f9c987fc33d641deb8e335ba0 | [
"CC-BY-4.0"
] | null | null | null | saleor/graphql/rider/mutations.py | WarHawk007/erocerytest | 0f481e08012eaf2f9c987fc33d641deb8e335ba0 | [
"CC-BY-4.0"
] | 10 | 2021-02-02T22:55:05.000Z | 2022-02-10T23:01:13.000Z | saleor/graphql/rider/mutations.py | WarHawk007/erocerytest | 0f481e08012eaf2f9c987fc33d641deb8e335ba0 | [
"CC-BY-4.0"
] | null | null | null | import graphene
from django.conf import settings
from django.core.exceptions import ValidationError
from ...rider import models as rider_models
from ...subshop import models as subshop_models
from ...account import models as account_models
from ..account.validation import isPhoneNumber, isCnic
from ..core.mutations im... | 40.37931 | 130 | 0.687874 | 278 | 2,342 | 5.708633 | 0.320144 | 0.05293 | 0.094518 | 0.075614 | 0.064272 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002151 | 0.205807 | 2,342 | 57 | 131 | 41.087719 | 0.851075 | 0 | 0 | 0 | 0 | 0 | 0.106746 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02 | false | 0.04 | 0.24 | 0 | 0.48 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e2739d879c1c382a8deb97538a12818514a90c7 | 953 | py | Python | car_composite/utils.py | kerry-t-johnson/car-composite | ba39bed0883517a3884a1e68c8ab6522119eab4f | [
"Apache-2.0"
] | null | null | null | car_composite/utils.py | kerry-t-johnson/car-composite | ba39bed0883517a3884a1e68c8ab6522119eab4f | [
"Apache-2.0"
] | null | null | null | car_composite/utils.py | kerry-t-johnson/car-composite | ba39bed0883517a3884a1e68c8ab6522119eab4f | [
"Apache-2.0"
] | null | null | null | '''
Copyright 2021 Kerry Johnson
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 ... | 36.653846 | 75 | 0.698846 | 150 | 953 | 4.386667 | 0.593333 | 0.06383 | 0.039514 | 0.048632 | 0.039514 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01745 | 0.218258 | 953 | 26 | 76 | 36.653846 | 0.865772 | 0.613851 | 0 | 0 | 0 | 0 | 0.054381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e27f18ab5ef993c02caa01656b29f1ecbe96024 | 11,458 | py | Python | yegsecbot.py | jershmagersh/yegsecbot | 147c1ad4e0bbf7688f55ee0075b9c03fddf4223c | [
"Apache-2.0"
] | 1 | 2019-02-20T23:24:02.000Z | 2019-02-20T23:24:02.000Z | yegsecbot.py | jershmagersh/yegsecbot | 147c1ad4e0bbf7688f55ee0075b9c03fddf4223c | [
"Apache-2.0"
] | null | null | null | yegsecbot.py | jershmagersh/yegsecbot | 147c1ad4e0bbf7688f55ee0075b9c03fddf4223c | [
"Apache-2.0"
] | 3 | 2019-02-20T01:43:10.000Z | 2019-06-19T00:08:29.000Z | #!/usr/bin/python
"""
I wrote this in a couple afternoons while watching Netflix, so it can probably be better.
-jmag
"""
from slackclient import SlackClient
import sys, json, sqlite3, time, re, datetime
MENTION_REGEX = "^<@(|[WU][A-Z0-9]+?)>(.*)"
class ConfigException(Exception):
pass
class Connection... | 42.913858 | 239 | 0.56598 | 1,399 | 11,458 | 4.514653 | 0.197284 | 0.036415 | 0.032299 | 0.032774 | 0.399145 | 0.332964 | 0.282932 | 0.224034 | 0.183977 | 0.180177 | 0 | 0.007467 | 0.322046 | 11,458 | 266 | 240 | 43.075188 | 0.805613 | 0.118258 | 0 | 0.328125 | 0 | 0.052083 | 0.194705 | 0.02057 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0.010417 | 0.010417 | 0.010417 | 0.182292 | 0.010417 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e29069e2cd68e343ce7e90b98d21551b24dc656 | 5,072 | py | Python | workon/contrib/tracker/utils.py | devittek/django-workon | c39ddecac2649406a7a58922646478c5615d4cfd | [
"BSD-3-Clause"
] | 1 | 2018-01-19T16:08:54.000Z | 2018-01-19T16:08:54.000Z | workon/contrib/tracker/utils.py | devittek/django-workon | c39ddecac2649406a7a58922646478c5615d4cfd | [
"BSD-3-Clause"
] | 1 | 2020-07-06T08:35:18.000Z | 2020-07-06T08:35:18.000Z | workon/contrib/tracker/utils.py | devittek/django-workon | c39ddecac2649406a7a58922646478c5615d4cfd | [
"BSD-3-Clause"
] | 4 | 2020-04-08T06:14:46.000Z | 2020-12-11T14:28:06.000Z | from django.conf import settings
__all__ = ['track']
if 'workon.contrib.tracker' not in settings.INSTALLED_APPS:
def track(*args, **kwargs):
raise Exception('workon.contrib.tracker missing from settings.INSTALLED_APPS')
else:
import time
import datetime
from operator import itemgetter
... | 38.424242 | 124 | 0.522082 | 490 | 5,072 | 5.142857 | 0.244898 | 0.039683 | 0.040476 | 0.020238 | 0.159524 | 0.088889 | 0.088889 | 0.088889 | 0.088889 | 0.050794 | 0 | 0.002917 | 0.391759 | 5,072 | 132 | 125 | 38.424242 | 0.813938 | 0.102918 | 0 | 0.179775 | 0 | 0 | 0.070789 | 0.019937 | 0 | 0 | 0 | 0 | 0 | 1 | 0.123596 | false | 0 | 0.101124 | 0.011236 | 0.303371 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e2b1e90e65d462ea33a73daa9aaad6d0c9d572b | 46,103 | py | Python | python/sandbox/core.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | 6 | 2020-04-19T11:26:18.000Z | 2021-06-21T18:42:51.000Z | python/sandbox/core.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | 31 | 2020-04-21T17:24:39.000Z | 2020-08-27T15:59:12.000Z | python/sandbox/core.py | geometer/sandbox | 373ec96e69df76744a19b51f7caa865cbc6b58cd | [
"Apache-2.0"
] | null | null | null | """
Core module.
Normally, do not add new construction methods here, do this in scene.py instead.
"""
from enum import Enum, auto, unique
import itertools
import re
import sympy as sp
from typing import List
from .figure import Figure
from .reason import Reason
from .util import LazyComment, Comment, divide
class Co... | 42.064781 | 139 | 0.549899 | 4,943 | 46,103 | 5 | 0.064536 | 0.026219 | 0.01845 | 0.018774 | 0.41934 | 0.351892 | 0.316407 | 0.271859 | 0.225855 | 0.206393 | 0 | 0.007902 | 0.343969 | 46,103 | 1,095 | 140 | 42.103196 | 0.809192 | 0.042795 | 0 | 0.294118 | 0 | 0 | 0.063666 | 0.001593 | 0 | 0 | 0 | 0.001826 | 0.070358 | 1 | 0.128028 | false | 0.001153 | 0.016148 | 0.024221 | 0.272203 | 0.008074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e2b6f738581b2742bd1ca8b2f9482692264a225 | 345 | py | Python | while_example.py | ISE2012/ch5 | cce470d418419bff0c9d37233755ee39e1362a27 | [
"MIT"
] | null | null | null | while_example.py | ISE2012/ch5 | cce470d418419bff0c9d37233755ee39e1362a27 | [
"MIT"
] | null | null | null | while_example.py | ISE2012/ch5 | cce470d418419bff0c9d37233755ee39e1362a27 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 14 10:08:03 2020
@author: ucobiz
"""
num = 0 # we have to initialize num to zero
while num <= 0: # so that we can use it here
num = int(input("Enter a positive number: "))
# the while loop has exited b/c num is positive
print("Thank you. The number... | 21.5625 | 51 | 0.611594 | 59 | 345 | 3.576271 | 0.762712 | 0.037915 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059289 | 0.266667 | 345 | 15 | 52 | 23 | 0.774704 | 0.527536 | 0 | 0 | 0 | 0 | 0.448529 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e2d130d98704094b0d5ff31b8c5866899ab9c1f | 12,633 | py | Python | entry/light_menu.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/light_menu.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | entry/light_menu.py | way864/BattleTracker | 7204d613165b1c461ee301e5078cd4e2b7a072c4 | [
"MIT"
] | null | null | null | import math
import tkinter as tk
from tkinter import ttk, messagebox
from tkinter.constants import X, Y
from ttkthemes import ThemedStyle
class PickLight():
def __init__(self, root, widg):
self.root = root
self.widg = widg
self.x = self.root.winfo_pointerx()
self.y = self.root.winf... | 32.392308 | 225 | 0.432676 | 1,490 | 12,633 | 3.520134 | 0.14698 | 0.01449 | 0.034318 | 0.032031 | 0.361868 | 0.310391 | 0.236797 | 0.199047 | 0.182841 | 0.134223 | 0 | 0.048634 | 0.461252 | 12,633 | 390 | 226 | 32.392308 | 0.72201 | 0.012032 | 0 | 0.314607 | 0 | 0 | 0.024205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039326 | false | 0 | 0.014045 | 0 | 0.092697 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e2ed5d13acdd2a38212da944c819fc33a4a6530 | 11,151 | py | Python | tests/ozpcenter_api/test_api_library.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 1 | 2018-10-05T17:03:01.000Z | 2018-10-05T17:03:01.000Z | tests/ozpcenter_api/test_api_library.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 1 | 2017-01-06T19:20:32.000Z | 2017-01-06T19:20:32.000Z | tests/ozpcenter_api/test_api_library.py | emosher/ozp-backend | d31d00bb8a28a8d0c999813f616b398f41516244 | [
"Apache-2.0"
] | 7 | 2016-12-16T15:42:05.000Z | 2020-09-05T01:11:27.000Z | import datetime
import pytz
from django.test import override_settings
from rest_framework import status
from ozpcenter import model_access as generic_model_access
from ozpcenter.scripts import sample_data_generator as data_gen
from tests.ozp.cases import APITestCase
from tests.ozpcenter.helper import APITestHelper
... | 44.426295 | 125 | 0.565958 | 1,147 | 11,151 | 5.347864 | 0.178727 | 0.058689 | 0.059341 | 0.067819 | 0.72628 | 0.688947 | 0.65569 | 0.611999 | 0.551679 | 0.551679 | 0 | 0.020609 | 0.316833 | 11,151 | 250 | 126 | 44.604 | 0.784589 | 0.058829 | 0 | 0.494565 | 0 | 0 | 0.161989 | 0.010977 | 0 | 0 | 0 | 0 | 0.157609 | 1 | 0.065217 | false | 0.005435 | 0.059783 | 0 | 0.130435 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e31aafbd6d3baac6fea5ff1008384c247a90db7 | 568 | py | Python | ABC/ABC126/abc126_d.py | yatabis/AtCoder-in-Python3 | cc2948853b549a6b8f39df5685c9e84cda81499d | [
"MIT"
] | null | null | null | ABC/ABC126/abc126_d.py | yatabis/AtCoder-in-Python3 | cc2948853b549a6b8f39df5685c9e84cda81499d | [
"MIT"
] | null | null | null | ABC/ABC126/abc126_d.py | yatabis/AtCoder-in-Python3 | cc2948853b549a6b8f39df5685c9e84cda81499d | [
"MIT"
] | null | null | null | # 問題URL: https://atcoder.jp/contests/abc126/tasks/abc126_d
# 解答URL: https://atcoder.jp/contests/abc126/submissions/14638903
from heapq import heappop, heappush
n = int(input())
a = [[] for _ in range(n)]
for _ in range(n - 1):
u, v, w = map(int, input().split())
a[u - 1].append((v - 1, w))
a[v - 1].append... | 22.72 | 64 | 0.556338 | 99 | 568 | 3.161616 | 0.454545 | 0.076677 | 0.089457 | 0.140575 | 0.178914 | 0 | 0 | 0 | 0 | 0 | 0 | 0.061176 | 0.251761 | 568 | 24 | 65 | 23.666667 | 0.675294 | 0.209507 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e334b9a938fd3c9df3467c8d839369988bb30b6 | 10,029 | py | Python | Codes/utility/load_data.py | CRIPAC-DIG/K-GHRM | 5d73ed701b7753ee402ecfc1dbc4b20c578a4656 | [
"MIT"
] | 3 | 2021-07-19T14:34:07.000Z | 2022-03-31T06:24:38.000Z | Codes/utility/load_data.py | CRIPAC-DIG/K-GHRM | 5d73ed701b7753ee402ecfc1dbc4b20c578a4656 | [
"MIT"
] | null | null | null | Codes/utility/load_data.py | CRIPAC-DIG/K-GHRM | 5d73ed701b7753ee402ecfc1dbc4b20c578a4656 | [
"MIT"
] | 1 | 2021-08-22T07:23:49.000Z | 2021-08-22T07:23:49.000Z | import numpy as np
import random as rd
from time import time
from math import log
import gc
import heapq
import copy
from utility.parser import parse_args
args = parse_args()
class Data(object):
def __init__(self, path, batch_size):
self.batch_size = batch_size
doc_file = path + '/ma... | 41.271605 | 444 | 0.466746 | 1,265 | 10,029 | 3.475099 | 0.115415 | 0.044359 | 0.029572 | 0.044359 | 0.457006 | 0.371019 | 0.330528 | 0.284122 | 0.229072 | 0.229072 | 0 | 0.012598 | 0.414299 | 10,029 | 242 | 445 | 41.442149 | 0.735785 | 0.042676 | 0 | 0.325 | 0 | 0 | 0.053666 | 0.008011 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035 | false | 0 | 0.04 | 0 | 0.095 | 0.09 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e33b7d46ae6ef1f9eed0f3bad1e2a967744885c | 4,379 | py | Python | popseg/models/panopticdeeplab.py | sithu31296/panoptic-segmentation | bd3f5bf51729dcf5698959b3a6b53a1da8e2db65 | [
"MIT"
] | 1 | 2021-11-06T09:00:11.000Z | 2021-11-06T09:00:11.000Z | popseg/models/panopticdeeplab.py | sithu31296/panoptic-segmentation | bd3f5bf51729dcf5698959b3a6b53a1da8e2db65 | [
"MIT"
] | 1 | 2021-11-07T11:59:57.000Z | 2021-11-08T14:29:10.000Z | popseg/models/panopticdeeplab.py | sithu31296/panoptic-segmentation | bd3f5bf51729dcf5698959b3a6b53a1da8e2db65 | [
"MIT"
] | null | null | null | import torch
from torch import nn, Tensor
from torch.nn import functional as F
from .modules import Conv, SeparableConv
from .backbones import ResNet
class ASPP(nn.Module):
def __init__(self, c1, c2, drop_rate=0.1):
super().__init__()
ratios = [1, 6, 12, 18]
self.blocks = nn.ModuleList([
... | 35.893443 | 114 | 0.631879 | 570 | 4,379 | 4.647368 | 0.184211 | 0.02718 | 0.029445 | 0.04077 | 0.324273 | 0.265006 | 0.244621 | 0.244621 | 0.19026 | 0.12835 | 0 | 0.045632 | 0.239324 | 4,379 | 122 | 115 | 35.893443 | 0.749625 | 0 | 0 | 0.172043 | 0 | 0 | 0.013699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107527 | false | 0 | 0.053763 | 0.021505 | 0.268817 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e35b131f0e0e93445407cb308ded03d523d37ec | 474 | py | Python | heap/easy/qheap.py | YANG007SUN/data_structure | 481e76eb713dc305409eafe4118121f499357ec6 | [
"Apache-2.0"
] | null | null | null | heap/easy/qheap.py | YANG007SUN/data_structure | 481e76eb713dc305409eafe4118121f499357ec6 | [
"Apache-2.0"
] | null | null | null | heap/easy/qheap.py | YANG007SUN/data_structure | 481e76eb713dc305409eafe4118121f499357ec6 | [
"Apache-2.0"
] | null | null | null | # https://www.hackerrank.com/challenges/qheap1/problem?isFullScreen=true
Q = int(input())
hp = []
for _ in range(Q):
ls = list(map(int, input().split()))
if ls[0]==1:
if len(hp)==0:
hp.append(ls[1])
minv = hp[0]
else:
minv = min(ls[1], minv)
hp.ap... | 23.7 | 72 | 0.466245 | 68 | 474 | 3.235294 | 0.485294 | 0.068182 | 0.095455 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039344 | 0.35654 | 474 | 20 | 73 | 23.7 | 0.681967 | 0.147679 | 0 | 0.235294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e369a1097ab91da0411c8e0085e71ff5b62e1cb | 3,087 | py | Python | pygcn/layers.py | linzhongping/fm-gcn | d403eff40c19c7cf7998c894e03b2c45da556ac7 | [
"MIT"
] | 1 | 2020-01-11T12:53:28.000Z | 2020-01-11T12:53:28.000Z | pygcn/layers.py | linzhongping/fm-gcn | d403eff40c19c7cf7998c894e03b2c45da556ac7 | [
"MIT"
] | 11 | 2019-08-06T02:23:32.000Z | 2022-03-11T23:51:20.000Z | pygcn/layers.py | linzhongping/fm-gcn | d403eff40c19c7cf7998c894e03b2c45da556ac7 | [
"MIT"
] | 1 | 2020-01-11T12:53:29.000Z | 2020-01-11T12:53:29.000Z | import math
from torch.nn import Embedding
import torch
from torch.nn.parameter import Parameter
from torch.nn.modules.module import Module
from torch.nn import init
from torch.autograd import Variable
torch.random.manual_seed(2070)
class GraphConvolution(Module):
"""
Simple GCN layer, similar to https://arxiv... | 31.5 | 77 | 0.6184 | 374 | 3,087 | 4.882353 | 0.248663 | 0.060241 | 0.038335 | 0.03943 | 0.31161 | 0.230011 | 0.2092 | 0.125958 | 0.086528 | 0.086528 | 0 | 0.01154 | 0.270165 | 3,087 | 97 | 78 | 31.824742 | 0.798935 | 0.101717 | 0 | 0.21875 | 0 | 0 | 0.004056 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140625 | false | 0 | 0.109375 | 0.03125 | 0.359375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e3792ff3e2c12900e4deb81ec079584de749ca2 | 1,623 | py | Python | digest/test/test_digest_tools.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | 1 | 2020-10-16T19:30:41.000Z | 2020-10-16T19:30:41.000Z | digest/test/test_digest_tools.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | 15 | 2020-06-18T15:32:06.000Z | 2022-03-03T23:06:24.000Z | digest/test/test_digest_tools.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | null | null | null | import pytest
from digest.digest_tools import Digest, content_path, InvalidDigestException
@pytest.mark.parametrize(
"digest, output_args",
[
("tarsum.v123123+sha1:123deadbeef", ("tarsum.v123123+sha1", "123deadbeef")),
("tarsum.v1+sha256:123123", ("tarsum.v1+sha256", "123123")),
("tar... | 30.055556 | 84 | 0.593346 | 185 | 1,623 | 5.113514 | 0.221622 | 0.044397 | 0.071882 | 0.088795 | 0.358351 | 0.287526 | 0.287526 | 0.192389 | 0.031712 | 0.031712 | 0 | 0.148148 | 0.201479 | 1,623 | 53 | 85 | 30.622642 | 0.58179 | 0 | 0 | 0.130435 | 0 | 0 | 0.393099 | 0.117067 | 0 | 0 | 0 | 0 | 0.065217 | 1 | 0.065217 | false | 0 | 0.043478 | 0 | 0.108696 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e3b2896c4c71de1f2f4c4021609291572737a53 | 14,014 | py | Python | index.py | jansusea/video_rent_demo | 17e3d2f239a433fc313c7f2c45fbb46b7573a6a6 | [
"Apache-2.0"
] | 2 | 2019-12-13T06:10:52.000Z | 2019-12-15T14:58:07.000Z | index.py | jansusea/video_rent_demo | 17e3d2f239a433fc313c7f2c45fbb46b7573a6a6 | [
"Apache-2.0"
] | null | null | null | index.py | jansusea/video_rent_demo | 17e3d2f239a433fc313c7f2c45fbb46b7573a6a6 | [
"Apache-2.0"
] | null | null | null | from flask_jsglue import JSGlue
from flask import Flask, render_template, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_restful import reqparse, Api
app = Flask(__name__)
api = Api(app)
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:root@localhost:3306/videorent?charset=utf8mb4'
app.config['SQLALCH... | 35.659033 | 125 | 0.630512 | 1,786 | 14,014 | 4.739642 | 0.089586 | 0.031896 | 0.054223 | 0.006143 | 0.572711 | 0.46013 | 0.41394 | 0.327112 | 0.305493 | 0.272888 | 0 | 0.00842 | 0.237263 | 14,014 | 392 | 126 | 35.75 | 0.783516 | 0.020337 | 0 | 0.380503 | 0 | 0 | 0.105919 | 0.011372 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084906 | false | 0 | 0.012579 | 0.040881 | 0.254717 | 0.012579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e3bf3816d2775c53ca40f975a39eda86b48bb10 | 11,285 | py | Python | everest/repositories/rdb/querying.py | helixyte/everest | 70c9b93c3061db5cb62428349d18b8fb8566411b | [
"MIT"
] | 3 | 2015-03-10T17:38:25.000Z | 2017-04-29T03:47:06.000Z | everest/repositories/rdb/querying.py | helixyte/everest | 70c9b93c3061db5cb62428349d18b8fb8566411b | [
"MIT"
] | 1 | 2015-03-02T16:02:41.000Z | 2015-03-02T16:02:41.000Z | everest/repositories/rdb/querying.py | cenix/everest | 70c9b93c3061db5cb62428349d18b8fb8566411b | [
"MIT"
] | 1 | 2020-07-12T22:46:59.000Z | 2020-07-12T22:46:59.000Z | """
Querying functionality for the rdb repository.
This file is part of the everest project.
See LICENSE.txt for licensing, CONTRIBUTORS.txt for contributor information.
Created on Jan 7, 2013.
"""
from everest.constants import RESOURCE_ATTRIBUTE_KINDS
from everest.entities.base import Entity
from everest.exceptions ... | 37.616667 | 99 | 0.672751 | 1,304 | 11,285 | 5.552147 | 0.233129 | 0.034254 | 0.028177 | 0.031492 | 0.293508 | 0.218232 | 0.150967 | 0.14268 | 0.14268 | 0.106077 | 0 | 0.005434 | 0.249889 | 11,285 | 299 | 100 | 37.742475 | 0.849852 | 0.175986 | 0 | 0.14359 | 0 | 0 | 0.034289 | 0.009041 | 0 | 0 | 0 | 0.006689 | 0 | 1 | 0.174359 | false | 0 | 0.133333 | 0.076923 | 0.487179 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e3c4d4cb0dbc4f7cda5f5d0400be26747fb6df0 | 1,259 | py | Python | myLogger.py | DavideFrr/ibmqx_experiments | f9e3c2e85d3fd8ea3f9a69b7bee26c135eabc755 | [
"Apache-2.0"
] | 6 | 2017-11-07T12:01:49.000Z | 2018-04-23T06:45:05.000Z | myLogger.py | DavideFrr/ibmqx_envariance | f9e3c2e85d3fd8ea3f9a69b7bee26c135eabc755 | [
"Apache-2.0"
] | null | null | null | myLogger.py | DavideFrr/ibmqx_envariance | f9e3c2e85d3fd8ea3f9a69b7bee26c135eabc755 | [
"Apache-2.0"
] | 1 | 2018-05-07T06:34:42.000Z | 2018-05-07T06:34:42.000Z | # Copyright 2017 Quantum Information Science, University of Parma, Italy. 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... | 38.151515 | 94 | 0.70135 | 155 | 1,259 | 5.516129 | 0.612903 | 0.070175 | 0.046784 | 0.072515 | 0.140351 | 0.140351 | 0.140351 | 0.140351 | 0.140351 | 0 | 0 | 0.015023 | 0.154091 | 1,259 | 32 | 95 | 39.34375 | 0.787793 | 0.549643 | 0 | 0 | 0 | 0 | 0.318841 | 0.059783 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e40bb23a7df34b4097b777f22663a9bcc159f40 | 3,742 | py | Python | predicting solar enegy generation/solar.py | imsanjoykb/Working-Analysis | 12267ccbe833ea0daedb34990ba1757f3888e447 | [
"Apache-2.0"
] | 3 | 2020-12-31T19:23:45.000Z | 2022-02-07T16:09:14.000Z | predicting solar enegy generation/solar.py | imsanjoykb/Working-Analysis | 12267ccbe833ea0daedb34990ba1757f3888e447 | [
"Apache-2.0"
] | null | null | null | predicting solar enegy generation/solar.py | imsanjoykb/Working-Analysis | 12267ccbe833ea0daedb34990ba1757f3888e447 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 12 17:57:02 2020
@author: Atique Akhtar
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn import metrics
fro... | 29.464567 | 110 | 0.756547 | 593 | 3,742 | 4.608769 | 0.340641 | 0.044274 | 0.052689 | 0.067325 | 0.312477 | 0.245884 | 0.203439 | 0.147091 | 0.037322 | 0.037322 | 0 | 0.048694 | 0.099947 | 3,742 | 126 | 111 | 29.698413 | 0.762767 | 0.158739 | 0 | 0 | 0 | 0 | 0.094551 | 0.021154 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.155844 | 0 | 0.155844 | 0.051948 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e42f7faf93d8ca30408b7f1bf98b2c4582082bf | 7,047 | py | Python | scoring_functions.py | juius/GB-GA | 4b49f1822c5190e8b2bbb8b7403eed30af9e50fd | [
"MIT"
] | 42 | 2018-10-24T09:31:07.000Z | 2021-04-10T04:04:51.000Z | scoring_functions.py | juius/GB-GA | 4b49f1822c5190e8b2bbb8b7403eed30af9e50fd | [
"MIT"
] | null | null | null | scoring_functions.py | juius/GB-GA | 4b49f1822c5190e8b2bbb8b7403eed30af9e50fd | [
"MIT"
] | 25 | 2018-10-24T09:01:59.000Z | 2021-04-24T10:51:22.000Z | '''
Written by Jan H. Jensen 2018
'''
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit.Chem import Descriptors
from rdkit.DataStructs.cDataStructs import TanimotoSimilarity
from rdkit.Chem import rdFMCS
from rdkit import rdBase
rdBase.DisableLog('rdApp.error')
import numpy as np
import sys
from multi... | 28.188 | 137 | 0.711225 | 976 | 7,047 | 4.981557 | 0.26332 | 0.011107 | 0.011107 | 0.029617 | 0.20835 | 0.194981 | 0.122995 | 0.122995 | 0.103661 | 0.050185 | 0 | 0.012615 | 0.167589 | 7,047 | 249 | 138 | 28.301205 | 0.816229 | 0.087555 | 0 | 0.186813 | 0 | 0 | 0.035619 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.10989 | false | 0 | 0.082418 | 0.027473 | 0.318681 | 0.049451 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e4e63042228f66cff5a912d41b87d37722d2937 | 3,298 | py | Python | Task2/main.py | KKowalewski24/ADZ | 8a04570a1f6f08506572386b2312a259a8308f56 | [
"MIT"
] | null | null | null | Task2/main.py | KKowalewski24/ADZ | 8a04570a1f6f08506572386b2312a259a8308f56 | [
"MIT"
] | null | null | null | Task2/main.py | KKowalewski24/ADZ | 8a04570a1f6f08506572386b2312a259a8308f56 | [
"MIT"
] | null | null | null | from argparse import ArgumentParser, Namespace
from typing import Any, Dict, Tuple
import numpy as np
from sklearn.cluster import DBSCAN
from sklearn.metrics import precision_score, recall_score
from sklearn.neighbors import LocalOutlierFactor
from module.LatexGenerator import LatexGenerator
from module.OutlierAgglom... | 35.462366 | 93 | 0.647665 | 366 | 3,298 | 5.579235 | 0.338798 | 0.029383 | 0.05142 | 0.039177 | 0.036239 | 0.036239 | 0.036239 | 0.036239 | 0.036239 | 0.036239 | 0 | 0.002876 | 0.156458 | 3,298 | 92 | 94 | 35.847826 | 0.731129 | 0.093996 | 0 | 0.059701 | 0 | 0 | 0.167009 | 0.05373 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.179104 | 0 | 0.223881 | 0.029851 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e4f198f80a2b90957f00d6e9a760ddb7d4d2c00 | 1,534 | py | Python | test/test_matching_with_dont_cares.py | matkaczmarek/string-algorithms | df1367e633ee0b3377cbdd67a77982f373fe2459 | [
"MIT"
] | 1 | 2020-06-27T01:33:43.000Z | 2020-06-27T01:33:43.000Z | test/test_matching_with_dont_cares.py | TenGumis/string-algorithms | e57a9dc6150e92ab65cad4a5c1e68533b7166eb7 | [
"MIT"
] | null | null | null | test/test_matching_with_dont_cares.py | TenGumis/string-algorithms | e57a9dc6150e92ab65cad4a5c1e68533b7166eb7 | [
"MIT"
] | null | null | null | import itertools
import os
import unittest
from generator import rand
from approximate_string_matching import dont_care, matching_with_dont_cares
class TestExactMatchingWithDontCaresCase(unittest.TestCase):
run_large = unittest.skipUnless(
os.environ.get('LARGE', False), 'Skip test in small runs')
def make... | 34.088889 | 75 | 0.643416 | 231 | 1,534 | 4.051948 | 0.324675 | 0.051282 | 0.064103 | 0.067308 | 0.318376 | 0.220085 | 0.220085 | 0.220085 | 0.119658 | 0.119658 | 0 | 0.018122 | 0.208605 | 1,534 | 44 | 76 | 34.863636 | 0.752883 | 0 | 0 | 0.166667 | 0 | 0 | 0.043025 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 1 | 0.166667 | false | 0 | 0.138889 | 0 | 0.361111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e4f435f06f8b0f3c610c16275c5fe53209837e7 | 1,902 | py | Python | nengo/utils/network.py | HugoChateauLaurent/nengo | 749893186ee09aa6c621a40da3ffd3878114db9c | [
"BSD-2-Clause"
] | null | null | null | nengo/utils/network.py | HugoChateauLaurent/nengo | 749893186ee09aa6c621a40da3ffd3878114db9c | [
"BSD-2-Clause"
] | null | null | null | nengo/utils/network.py | HugoChateauLaurent/nengo | 749893186ee09aa6c621a40da3ffd3878114db9c | [
"BSD-2-Clause"
] | null | null | null | import nengo
from .magic import decorator
@decorator
def with_self(method, network, args, kwargs):
"""Wraps a method with ``with network:``.
This makes it easy to add methods to a network that create new
Nengo objects. Instead of writing ``with self`` at the top of the method
and indenting everything... | 29.71875 | 76 | 0.640904 | 261 | 1,902 | 4.56705 | 0.360153 | 0.088087 | 0.075503 | 0.063758 | 0.205537 | 0.205537 | 0.151846 | 0.07047 | 0 | 0 | 0 | 0.002905 | 0.276025 | 1,902 | 63 | 77 | 30.190476 | 0.862745 | 0.476866 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e509497962389e6ed71b35b5ec1d4dff24d9090 | 779 | py | Python | acme/resources/DVI.py | reinaortega/ACME-oneM2M-CSE | ee45a6a2bcbb0fd0397cfffc0522fa252d7e98be | [
"BSD-3-Clause"
] | null | null | null | acme/resources/DVI.py | reinaortega/ACME-oneM2M-CSE | ee45a6a2bcbb0fd0397cfffc0522fa252d7e98be | [
"BSD-3-Clause"
] | null | null | null | acme/resources/DVI.py | reinaortega/ACME-oneM2M-CSE | ee45a6a2bcbb0fd0397cfffc0522fa252d7e98be | [
"BSD-3-Clause"
] | null | null | null | #
# DVI.py
#
# (c) 2020 by Andreas Kraft
# License: BSD 3-Clause License. See the LICENSE file for further details.
#
# ResourceType: mgmtObj:DeviceInfo
#
from .MgmtObj import *
from Constants import Constants as C
import Utils
defaultDeviceType = 'unknown'
defaultModel = "unknown"
defaultManufacturer = "unknown"
def... | 26.862069 | 74 | 0.752246 | 95 | 779 | 6.084211 | 0.568421 | 0.110727 | 0.093426 | 0.155709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007407 | 0.133504 | 779 | 28 | 75 | 27.821429 | 0.848889 | 0.17715 | 0 | 0 | 0 | 0 | 0.079114 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.2 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e520e590c8df2d66276d19de77a152e7ca6c316 | 1,272 | py | Python | augmentation.py | chaets/cogniac | aefb4355d3f7b56cbc42e1039e88d709b40051dc | [
"Apache-2.0"
] | 1 | 2021-04-26T18:15:35.000Z | 2021-04-26T18:15:35.000Z | augmentation.py | chaets/cogniac | aefb4355d3f7b56cbc42e1039e88d709b40051dc | [
"Apache-2.0"
] | null | null | null | augmentation.py | chaets/cogniac | aefb4355d3f7b56cbc42e1039e88d709b40051dc | [
"Apache-2.0"
] | 1 | 2021-03-19T21:40:48.000Z | 2021-03-19T21:40:48.000Z | import cv2
import numpy as np
class Augmentation:
"""docstring for Augmentation."""
# def __init__(self):
# pass
# super(Augmentation, self).__init__()
# self.arg = arg
def get_resize(image, lengthScale, breadthScale):
src = cv2.imread(image , cv2.IMREAD_UNCHANGED)
... | 31.02439 | 87 | 0.575472 | 163 | 1,272 | 4.380368 | 0.398773 | 0.063025 | 0.058824 | 0.047619 | 0.098039 | 0.098039 | 0.098039 | 0 | 0 | 0 | 0 | 0.041387 | 0.29717 | 1,272 | 40 | 88 | 31.8 | 0.757271 | 0.139937 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0 | 0.076923 | 0 | 0.269231 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e529806b916a14d473506fae40b14ec1ce0965a | 557 | py | Python | pages/themes/beginners/unicodeTopics/examples/fromWin1251_toUTF8.py | ProgressBG-Python-Course/ProgressBG-VC2-Python | 03b892a42ee1fad3d4f97e328e06a4b1573fd356 | [
"MIT"
] | null | null | null | pages/themes/beginners/unicodeTopics/examples/fromWin1251_toUTF8.py | ProgressBG-Python-Course/ProgressBG-VC2-Python | 03b892a42ee1fad3d4f97e328e06a4b1573fd356 | [
"MIT"
] | null | null | null | pages/themes/beginners/unicodeTopics/examples/fromWin1251_toUTF8.py | ProgressBG-Python-Course/ProgressBG-VC2-Python | 03b892a42ee1fad3d4f97e328e06a4b1573fd356 | [
"MIT"
] | null | null | null | input_file_name = "windows-1251_encoded_file.txt"
output_file_name = "utf8_encoded_file.txt"
def read_from(enc, file_name):
# open file for read in textmode with encoding:
with open(file_name,"r", encoding="cp1251") as f:
decoded_content = f.read()
return decoded_content
def write_to(enc, content, file_na... | 25.318182 | 54 | 0.746858 | 88 | 557 | 4.454545 | 0.329545 | 0.163265 | 0.066327 | 0.081633 | 0.290816 | 0.193878 | 0.193878 | 0.193878 | 0 | 0 | 0 | 0.029412 | 0.145422 | 557 | 21 | 55 | 26.52381 | 0.794118 | 0.165171 | 0 | 0 | 0 | 0 | 0.15 | 0.108696 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e572a42c6bc0c9afac50afe4337fe89f5d90d51 | 7,795 | py | Python | PyObjCTest/test_cfdictionary.py | linuxfood/pyobjc-framework-Cocoa-test | 3475890f165ab26a740f13d5afe4c62b4423a140 | [
"MIT"
] | null | null | null | PyObjCTest/test_cfdictionary.py | linuxfood/pyobjc-framework-Cocoa-test | 3475890f165ab26a740f13d5afe4c62b4423a140 | [
"MIT"
] | null | null | null | PyObjCTest/test_cfdictionary.py | linuxfood/pyobjc-framework-Cocoa-test | 3475890f165ab26a740f13d5afe4c62b4423a140 | [
"MIT"
] | null | null | null | import CoreFoundation
import objc
from PyObjCTools.TestSupport import TestCase
class TestCFDictionary(TestCase):
def testCreation(self):
dictionary = CoreFoundation.CFDictionaryCreate(
None,
("aap", "noot", "mies", "wim"),
("monkey", "nut", "missy", "john"),
... | 40.180412 | 88 | 0.636947 | 590 | 7,795 | 8.405085 | 0.161017 | 0.0732 | 0.031458 | 0.025812 | 0.64872 | 0.59266 | 0.508772 | 0.469449 | 0.428111 | 0.387175 | 0 | 0.013381 | 0.252213 | 7,795 | 193 | 89 | 40.388601 | 0.837365 | 0.000385 | 0 | 0.44 | 0 | 0 | 0.058922 | 0 | 0 | 0 | 0 | 0 | 0.274286 | 1 | 0.04 | false | 0 | 0.017143 | 0 | 0.062857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e57a3b1f5bc69858ee77a65eb9d305c058566c9 | 3,910 | py | Python | melior_transformers/encoding/encoding_model.py | MeliorAI/meliorTransformers | b2936e1aac23e63e0b737d03975124c31a960812 | [
"Apache-2.0"
] | 1 | 2020-08-06T10:48:49.000Z | 2020-08-06T10:48:49.000Z | melior_transformers/encoding/encoding_model.py | MeliorAI/meliorTransformers | b2936e1aac23e63e0b737d03975124c31a960812 | [
"Apache-2.0"
] | 2 | 2020-02-13T12:45:57.000Z | 2020-04-14T11:30:33.000Z | melior_transformers/encoding/encoding_model.py | MeliorAI/meliorTransformers | b2936e1aac23e63e0b737d03975124c31a960812 | [
"Apache-2.0"
] | 2 | 2020-07-21T12:43:51.000Z | 2021-08-13T15:21:22.000Z | import logging
from typing import Dict, List
import numpy as np
import torch
from numpy import ndarray
from sentence_transformers import SentenceTransformer, models
from melior_transformers.config.global_args import global_args
from melior_transformers.encoding.constants import MODEL_CLASSES
logger = logging.getLogg... | 33.418803 | 88 | 0.615601 | 449 | 3,910 | 5.100223 | 0.347439 | 0.057642 | 0.039301 | 0.033188 | 0.065502 | 0.054585 | 0.027948 | 0 | 0 | 0 | 0 | 0.001482 | 0.309719 | 3,910 | 116 | 89 | 33.706897 | 0.84698 | 0.251918 | 0 | 0 | 0 | 0 | 0.159108 | 0.082663 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.119403 | 0 | 0.179104 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e58286e282abcb985fa69b50248bb70d6390ed9 | 3,138 | py | Python | main.py | Qumeric/flappypython | 40f4ab00870f6e5f02ef7de74190c6a277feb034 | [
"MIT"
] | null | null | null | main.py | Qumeric/flappypython | 40f4ab00870f6e5f02ef7de74190c6a277feb034 | [
"MIT"
] | 1 | 2015-04-07T15:17:30.000Z | 2015-04-07T17:34:01.000Z | main.py | Qumeric/flappypython | 40f4ab00870f6e5f02ef7de74190c6a277feb034 | [
"MIT"
] | null | null | null | from pygame import display, font, image, init, time, event
from pygame.locals import *
from random import randrange
from GameObject import Bird, Pipe
SCORE_COLOR = (255, 255, 0)
HIGHSCORE_COLOR = (255, 165, 0)
DISPLAY_WIDTH = 320
DISPLAY_HEIGHT = 480
FONT = None
FONT_SIZE = 22
HOLE_SIZE = 50
PIPE_FREQUENCY = 50
PIP... | 25.512195 | 75 | 0.564691 | 396 | 3,138 | 4.373737 | 0.330808 | 0.027714 | 0.020785 | 0.026559 | 0.079677 | 0.057737 | 0.057737 | 0.057737 | 0.057737 | 0.057737 | 0 | 0.031339 | 0.328872 | 3,138 | 122 | 76 | 25.721311 | 0.791073 | 0.074251 | 0 | 0.183908 | 0 | 0 | 0.016932 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.045977 | 0 | 0.091954 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e589b21bf05fda4a1eedf746c2f50a2e1830a1e | 17,283 | py | Python | queryDB.py | ElsevierSoftwareX/SOFTX-D-20-00075 | 825efe6a95011d055eaa19fabed42e9dad73b164 | [
"BSD-3-Clause"
] | 3 | 2021-09-15T03:51:14.000Z | 2022-03-05T15:36:47.000Z | queryDB.py | ElsevierSoftwareX/SOFTX-D-20-00075- | 06de316e3973b65e28ca7e047b5b1674640e7e5c | [
"BSD-3-Clause"
] | null | null | null | queryDB.py | ElsevierSoftwareX/SOFTX-D-20-00075- | 06de316e3973b65e28ca7e047b5b1674640e7e5c | [
"BSD-3-Clause"
] | 3 | 2021-07-21T10:25:59.000Z | 2022-03-19T21:16:33.000Z | #!/usr/bin/env python3
from astroquery.simbad import Simbad
from astroquery.vizier import Vizier
from cat_setup import src_localDB, src_onlineDB
from buildDB import addData, check_ldb
import sys, os
import csv
from more_itertools import locate
import argparse
import subprocess
from pathlib import Path
# for the spect... | 43.977099 | 151 | 0.525025 | 2,201 | 17,283 | 4.085416 | 0.21672 | 0.004671 | 0.02202 | 0.012456 | 0.263456 | 0.213857 | 0.189502 | 0.167705 | 0.120663 | 0.104204 | 0 | 0.016578 | 0.301973 | 17,283 | 392 | 152 | 44.089286 | 0.72878 | 0.112133 | 0 | 0.266212 | 0 | 0 | 0.206198 | 0.016991 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.051195 | 0 | 0.051195 | 0.21843 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e591f8ce49d4cfdc76a7051dbb0e79d30e622d3 | 1,690 | py | Python | celescope/tcr_fl/multi_tcr_fl.py | susucy/CeleScope | a5d9501ff8bd9dc067b9718070876acb0767a6cf | [
"MIT"
] | null | null | null | celescope/tcr_fl/multi_tcr_fl.py | susucy/CeleScope | a5d9501ff8bd9dc067b9718070876acb0767a6cf | [
"MIT"
] | null | null | null | celescope/tcr_fl/multi_tcr_fl.py | susucy/CeleScope | a5d9501ff8bd9dc067b9718070876acb0767a6cf | [
"MIT"
] | null | null | null | from celescope.__init__ import __CONDA__
from celescope.tcr_fl.__init__ import __STEPS__, __ASSAY__
from celescope.tools.Multi import Multi
class Multi_tcr_fl(Multi):
def custome_args(self):
self.parser.add_argument('--thread', help='thread', default=4)
self.parser.add_argument("--nCell", help="se... | 30.727273 | 82 | 0.560947 | 210 | 1,690 | 4.080952 | 0.280952 | 0.035006 | 0.060677 | 0.088681 | 0.310385 | 0.263711 | 0.263711 | 0.198366 | 0.198366 | 0.198366 | 0 | 0.005828 | 0.289349 | 1,690 | 54 | 83 | 31.296296 | 0.707744 | 0 | 0 | 0.311111 | 0 | 0 | 0.311427 | 0.111901 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.066667 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e5b83ffe1a421082cfb31bd3175565e924b9fe8 | 2,121 | py | Python | recommender/rest-api/globals.py | haiphucnguyen/MachineLearning | ecdc708a7f4a1a7917fd97f3374034b0f0a013aa | [
"MIT"
] | null | null | null | recommender/rest-api/globals.py | haiphucnguyen/MachineLearning | ecdc708a7f4a1a7917fd97f3374034b0f0a013aa | [
"MIT"
] | 18 | 2020-07-17T08:24:34.000Z | 2022-03-02T04:16:18.000Z | recommender/rest-api/globals.py | haiphucnguyen/MachineLearning | ecdc708a7f4a1a7917fd97f3374034b0f0a013aa | [
"MIT"
] | null | null | null | from pyspark.sql import SparkSession
from pyspark.ml.evaluation import RegressionEvaluator
from pyspark.ml.recommendation import ALS
class Globals:
def __init__(self):
print("Init Globals")
@staticmethod
def recommendator():
spark = SparkSession.builder.appName("Recommendation ALS").getOr... | 48.204545 | 125 | 0.644979 | 240 | 2,121 | 5.625 | 0.483333 | 0.02963 | 0.032593 | 0.05037 | 0.100741 | 0.100741 | 0.100741 | 0.100741 | 0 | 0 | 0 | 0.00609 | 0.225837 | 2,121 | 44 | 126 | 48.204545 | 0.816078 | 0.112211 | 0 | 0 | 0 | 0 | 0.178819 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.090909 | 0 | 0.181818 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e5d69d46fbe2dcd9c5a3139cb2e51788974251b | 508 | py | Python | compiled/construct/expr_io_pos.py | smarek/ci_targets | c5edee7b0901fd8e7f75f85245ea4209b38e0cb3 | [
"MIT"
] | 4 | 2017-04-08T12:55:11.000Z | 2020-12-05T21:09:31.000Z | compiled/construct/expr_io_pos.py | smarek/ci_targets | c5edee7b0901fd8e7f75f85245ea4209b38e0cb3 | [
"MIT"
] | 7 | 2018-04-23T01:30:33.000Z | 2020-10-30T23:56:14.000Z | compiled/construct/expr_io_pos.py | smarek/ci_targets | c5edee7b0901fd8e7f75f85245ea4209b38e0cb3 | [
"MIT"
] | 6 | 2017-04-08T11:41:14.000Z | 2020-10-30T22:47:31.000Z | from construct import *
from construct.lib import *
expr_io_pos__all_plus_number = Struct(
'my_str' / NullTerminated(GreedyString(encoding='UTF-8'), term=b'\x00', include=False, consume=True),
'body' / FixedSized(((stream_size(_io) - stream_tell(_io)) - 2), GreedyBytes),
'number' / Int16ul,
)
expr_io_pos = Struct(... | 31.75 | 102 | 0.751969 | 70 | 508 | 5.057143 | 0.571429 | 0.084746 | 0.127119 | 0.101695 | 0.271186 | 0.271186 | 0.20904 | 0.20904 | 0 | 0 | 0 | 0.026432 | 0.106299 | 508 | 15 | 103 | 33.866667 | 0.753304 | 0 | 0 | 0 | 0 | 0 | 0.088583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e5fbb0ee05033c7efad72d8169c33b9ad7669f2 | 2,463 | py | Python | books/management/commands/email_books.py | phildini/bockus | 004508166f5b1a7c3c4d8accf32578a80379b385 | [
"MIT"
] | 3 | 2015-07-15T05:29:17.000Z | 2021-06-23T21:50:25.000Z | books/management/commands/email_books.py | phildini/bockus | 004508166f5b1a7c3c4d8accf32578a80379b385 | [
"MIT"
] | 4 | 2020-02-11T22:15:04.000Z | 2021-06-10T17:41:51.000Z | books/management/commands/email_books.py | phildini/bockus | 004508166f5b1a7c3c4d8accf32578a80379b385 | [
"MIT"
] | null | null | null | import dropbox
import json
import logging
from django.conf import settings
from django.core.management.base import BaseCommand
from django.core.mail import EmailMessage
from allauth.socialaccount.models import SocialApp, SocialToken
from books.forms import ImportForm
from books.models import (
Book,
BookFil... | 33.283784 | 82 | 0.578157 | 256 | 2,463 | 5.402344 | 0.410156 | 0.110629 | 0.037599 | 0.049168 | 0.093999 | 0.06363 | 0.06363 | 0.06363 | 0.06363 | 0.06363 | 0 | 0.002465 | 0.341048 | 2,463 | 73 | 83 | 33.739726 | 0.849661 | 0 | 0 | 0.048387 | 0 | 0 | 0.108404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0 | 0.177419 | 0 | 0.225806 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e6038d2a3f2553efb2ffd56b40294b3bf3b78f9 | 511 | py | Python | 2018/Insomni'hack teaser/Rule86/outputs/super_cipher_partial.py | birdsoup/CTF-Writeups | feaeda46a5afa3dabbfa81adcbe184f7bc24d5cb | [
"MIT"
] | 3 | 2019-03-03T00:08:19.000Z | 2021-06-09T14:20:41.000Z | 2018/Insomni'hack teaser/Rule86/outputs/super_cipher_partial.py | birdsoup/CTF-Writeups | feaeda46a5afa3dabbfa81adcbe184f7bc24d5cb | [
"MIT"
] | null | null | null | 2018/Insomni'hack teaser/Rule86/outputs/super_cipher_partial.py | birdsoup/CTF-Writeups | feaeda46a5afa3dabbfa81adcbe184f7bc24d5cb | [
"MIT"
] | 1 | 2021-06-18T08:56:05.000Z | 2021-06-18T08:56:05.000Z | #!/usr/bin/env python3
import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("key")
args = parser.parse_args()
RULE = [86 >> i & 1 for i in range(8)]
N_BYTES = 32
N = 8 * N_BYTES
def next(x):
x = (x & 1) << N+1 | x << 1 | x >> N-1
y = 0
for i in range(N):
y |= RULE[(x >> i) & 7... | 18.925926 | 54 | 0.626223 | 89 | 511 | 3.539326 | 0.52809 | 0.038095 | 0.057143 | 0.104762 | 0.07619 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037221 | 0.21135 | 511 | 27 | 55 | 18.925926 | 0.744417 | 0.144814 | 0 | 0 | 0 | 0 | 0.02069 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e6a40545d687c3ecf51841513c392eec05aec51 | 398 | py | Python | projects/NameSorter.py | SilverBlaze109/VAMPY2017 | 68197544009aebc494b640b5d266c97ad6331c00 | [
"MIT"
] | null | null | null | projects/NameSorter.py | SilverBlaze109/VAMPY2017 | 68197544009aebc494b640b5d266c97ad6331c00 | [
"MIT"
] | null | null | null | projects/NameSorter.py | SilverBlaze109/VAMPY2017 | 68197544009aebc494b640b5d266c97ad6331c00 | [
"MIT"
] | null | null | null | import Merge_Sorting
read_filename = "/home/vampy/data/test1"
write_filename = "/home/vampy/data/test2"
fp = open(read_filename, "r")
N = int(fp.readline())
names = []
for i in range(N):
names.append(fp.readline().strip())
fp.close()
Merge_Sorting.mergesort(names)
fp = open(write_filename, "w")
fp.write("{0}\n".f... | 18.090909 | 41 | 0.675879 | 65 | 398 | 4.046154 | 0.446154 | 0.091255 | 0.129278 | 0.159696 | 0.091255 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011396 | 0.11809 | 398 | 21 | 42 | 18.952381 | 0.737892 | 0 | 0 | 0.266667 | 0 | 0 | 0.135678 | 0.110553 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.066667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e70a8cf3463ffe9421d2adf4f0d082d0018a938 | 1,423 | py | Python | migrations/versions/efd88a3c30a8_.py | andraune/Run4IT_BackEnd | a481427a0d1189a1f08c42e7ac1b452af6bbfc8d | [
"MIT"
] | 1 | 2022-03-29T06:11:20.000Z | 2022-03-29T06:11:20.000Z | migrations/versions/efd88a3c30a8_.py | andraune/run4it_backend | a481427a0d1189a1f08c42e7ac1b452af6bbfc8d | [
"MIT"
] | null | null | null | migrations/versions/efd88a3c30a8_.py | andraune/run4it_backend | a481427a0d1189a1f08c42e7ac1b452af6bbfc8d | [
"MIT"
] | null | null | null | """empty message
Revision ID: efd88a3c30a8
Revises: edf37629d0f4
Create Date: 2020-08-23 12:34:41.656176
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'efd88a3c30a8'
down_revision = 'edf37629d0f4'
branch_labels = None
depends_on = None
def upgrade():
# ... | 33.093023 | 98 | 0.697119 | 188 | 1,423 | 5.106383 | 0.393617 | 0.066667 | 0.0625 | 0.0875 | 0.366667 | 0.316667 | 0.252083 | 0.152083 | 0 | 0 | 0 | 0.042588 | 0.141954 | 1,423 | 42 | 99 | 33.880952 | 0.743653 | 0.207309 | 0 | 0 | 0 | 0 | 0.225481 | 0.04583 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.083333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e7303e5e2805c01c2695e6e83bc9c5498d330bd | 2,497 | py | Python | code/model/loss/loss.py | ZJU-Fangyin/KCL | 1d1002aeee785e4eb1dfc121d6cbb9cefa4e985c | [
"MIT"
] | 24 | 2021-12-04T13:44:22.000Z | 2022-03-19T08:10:19.000Z | code/model/loss/loss.py | Fangyin1994/KCL | 004f5681b77e4e75c791c909696fdb8a208501a2 | [
"MIT"
] | 3 | 2021-12-20T08:14:06.000Z | 2022-03-28T08:03:09.000Z | code/model/loss/loss.py | Fangyin1994/KCL | 004f5681b77e4e75c791c909696fdb8a208501a2 | [
"MIT"
] | 1 | 2021-12-22T09:29:55.000Z | 2021-12-22T09:29:55.000Z |
from .loss_computer import NCESoftmaxLoss
import torch.nn.functional as F
import torch.nn as nn
import torch
import logging
import pdb
logger = logging.getLogger()
class ContrastiveLoss(nn.Module):
def __init__(self, loss_computer: str, temperature: float, args) -> None:
super().__init__()
self.d... | 34.205479 | 96 | 0.64998 | 330 | 2,497 | 4.769697 | 0.281818 | 0.053367 | 0.007624 | 0.010165 | 0.192503 | 0.15756 | 0.121982 | 0.054638 | 0.054638 | 0 | 0 | 0.018228 | 0.209051 | 2,497 | 72 | 97 | 34.680556 | 0.778734 | 0.168202 | 0 | 0.186047 | 0 | 0 | 0.028585 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.093023 | false | 0 | 0.139535 | 0 | 0.302326 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e73e5b2fe9aa6d77e943c822dde424875f561fa | 3,359 | py | Python | Script_fullBandCapture.py | gdavila/PyDocsisMon | 461bb05a732f9c20bfcca18624d266f7ff89f8f2 | [
"MIT"
] | 4 | 2019-06-27T13:49:09.000Z | 2021-07-26T05:30:04.000Z | Script_fullBandCapture.py | gdavila/PyDocsisMon | 461bb05a732f9c20bfcca18624d266f7ff89f8f2 | [
"MIT"
] | null | null | null | Script_fullBandCapture.py | gdavila/PyDocsisMon | 461bb05a732f9c20bfcca18624d266f7ff89f8f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 15 12:16:14 2018
@author: gdavila
This is a example to get Full Band Channel information
On Docsis 3.0 Full Band Channels is a feature that allows to get detailed info
about the power distribution of the espectrum
"""
import docsisMon.cmDevices as cmDevices
from docsis... | 30.816514 | 130 | 0.533194 | 412 | 3,359 | 4.296117 | 0.395631 | 0.00904 | 0.025424 | 0.033898 | 0.063277 | 0.050847 | 0.050847 | 0.050847 | 0.050847 | 0 | 0 | 0.057351 | 0.345936 | 3,359 | 108 | 131 | 31.101852 | 0.748293 | 0.110747 | 0 | 0.105263 | 0 | 0.013158 | 0.074286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039474 | false | 0 | 0.065789 | 0 | 0.131579 | 0.105263 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e76a6d7201c50230ea9c60f989c6e9e8acbee75 | 398 | py | Python | examples/crack_egg.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 1 | 2018-05-30T15:33:26.000Z | 2018-05-30T15:33:26.000Z | examples/crack_egg.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 7 | 2018-06-21T13:21:22.000Z | 2018-07-24T21:20:05.000Z | examples/crack_egg.py | mkclairhong/quail | a6d6502746c853518a670d542222eb5fc2b05542 | [
"MIT"
] | 1 | 2018-06-01T17:39:48.000Z | 2018-06-01T17:39:48.000Z | # -*- coding: utf-8 -*-
"""
=============================
Crack Egg
=============================
This an example of how to crack an egg (take a slice of subjects/lists from it)
"""
# Code source: Andrew Heusser
# License: MIT
#import
import quail
#load data
egg = quail.load_example_data()
#crack egg
cracked_egg ... | 16.583333 | 79 | 0.59799 | 55 | 398 | 4.236364 | 0.6 | 0.103004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008824 | 0.145729 | 398 | 23 | 80 | 17.304348 | 0.676471 | 0.59799 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e77ef009463c9c8b20da40c4cad47baa5105caf | 488 | py | Python | cython_wordle/setup.py | richardtiffin/wordle | 9bdca662f204673e8fdac6fe262f596a4c1a7971 | [
"MIT"
] | null | null | null | cython_wordle/setup.py | richardtiffin/wordle | 9bdca662f204673e8fdac6fe262f596a4c1a7971 | [
"MIT"
] | null | null | null | cython_wordle/setup.py | richardtiffin/wordle | 9bdca662f204673e8fdac6fe262f596a4c1a7971 | [
"MIT"
] | null | null | null | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
ext_modules=[
Extension("BBox", ["BBox.pyx"]),
Extension("spirals", ["spirals.pyx"]),
Extension("wordle", ["wordle.pyx"]),
]
setup(
name = 'wordle',
cmdcl... | 25.684211 | 60 | 0.659836 | 56 | 488 | 5.625 | 0.464286 | 0.101587 | 0.069841 | 0.114286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.219262 | 488 | 18 | 61 | 27.111111 | 0.826772 | 0.190574 | 0 | 0 | 0 | 0 | 0.163102 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e781496e1aa125be921635999ca76ed9c8a3c2b | 4,296 | py | Python | workon/models/file.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/models/file.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/models/file.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | # encoding: utf-8
from django.db import models
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
import magic, os, urllib2
from django.core.files.storage import default_storage as storage
class FileTypeTester(models.Model):
class Meta:
abstract = True
file_type_... | 41.307692 | 153 | 0.598929 | 490 | 4,296 | 5.089796 | 0.269388 | 0.060946 | 0.067362 | 0.064956 | 0.442261 | 0.369687 | 0.369687 | 0.34563 | 0.311949 | 0.25421 | 0 | 0.002681 | 0.3054 | 4,296 | 104 | 154 | 41.307692 | 0.83311 | 0.071462 | 0 | 0.417722 | 0 | 0 | 0.168508 | 0.067052 | 0 | 0 | 0 | 0.009615 | 0 | 1 | 0.113924 | false | 0 | 0.063291 | 0.063291 | 0.43038 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e7c45b57c7b1f68c58be33048ab411b59607f95 | 3,734 | py | Python | retroarch_emulationstation.py | allebb/personal-influxdb | 280be0cceb0bc00412849be4ca5ad4c7be539fc3 | [
"Apache-2.0"
] | 217 | 2020-01-07T20:25:46.000Z | 2022-03-29T06:09:58.000Z | retroarch_emulationstation.py | allebb/personal-influxdb | 280be0cceb0bc00412849be4ca5ad4c7be539fc3 | [
"Apache-2.0"
] | 16 | 2020-02-10T12:40:23.000Z | 2022-02-26T13:01:55.000Z | retroarch_emulationstation.py | allebb/personal-influxdb | 280be0cceb0bc00412849be4ca5ad4c7be539fc3 | [
"Apache-2.0"
] | 34 | 2020-01-15T15:42:20.000Z | 2022-02-22T17:29:15.000Z | #!/usr/bin/python3
# Copyright (C) 2021 Sam Steele
# 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... | 36.970297 | 169 | 0.676754 | 492 | 3,734 | 5.052846 | 0.410569 | 0.024135 | 0.013274 | 0.012872 | 0.078842 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008715 | 0.170327 | 3,734 | 100 | 170 | 37.34 | 0.793738 | 0.15399 | 0 | 0.078947 | 0 | 0.013158 | 0.229816 | 0.013668 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.026316 | 0.065789 | 0 | 0.065789 | 0.039474 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e8225b7ada5e1ad54098e2705b2ce6cd71e8f49 | 5,254 | py | Python | rect_creator.py | jeffreyleifer/draw_rect | 80082f53b52f5af9378f2a624024c6784ec9b565 | [
"MIT"
] | null | null | null | rect_creator.py | jeffreyleifer/draw_rect | 80082f53b52f5af9378f2a624024c6784ec9b565 | [
"MIT"
] | null | null | null | rect_creator.py | jeffreyleifer/draw_rect | 80082f53b52f5af9378f2a624024c6784ec9b565 | [
"MIT"
] | null | null | null | from PySide2.QtWidgets import QWidget
from PySide2.QtCore import Qt
from PySide2.QtCore import QPoint
from PySide2.QtWidgets import QWidget, QLabel
from PySide2.QtGui import QPainter
from PySide2.QtGui import QPixmap
from PySide2.QtGui import QPen
from draw_utils import is_adjacent, is_contained,is_intersect
... | 33.044025 | 88 | 0.604111 | 665 | 5,254 | 4.63609 | 0.227068 | 0.080441 | 0.105092 | 0.103795 | 0.352903 | 0.267921 | 0.251054 | 0.218618 | 0.193318 | 0.193318 | 0 | 0.003469 | 0.286639 | 5,254 | 158 | 89 | 33.253165 | 0.819104 | 0.009517 | 0 | 0.292135 | 0 | 0 | 0.010141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089888 | false | 0 | 0.11236 | 0 | 0.258427 | 0.011236 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e8434d13fe760e8cea23fce54f739923c5f3b0f | 6,622 | py | Python | mining_shoots_discord.py | Hofei90/stfc_mining_shoots | 1eb89c0296b203719d32ae0cbf7c15ae7ca620dc | [
"MIT"
] | null | null | null | mining_shoots_discord.py | Hofei90/stfc_mining_shoots | 1eb89c0296b203719d32ae0cbf7c15ae7ca620dc | [
"MIT"
] | null | null | null | mining_shoots_discord.py | Hofei90/stfc_mining_shoots | 1eb89c0296b203719d32ae0cbf7c15ae7ca620dc | [
"MIT"
] | null | null | null | import toml
from discord.ext import commands
import discord
import pathlib
from peewee import SqliteDatabase, fn
import db_model as db
import datetime
from dataclasses import dataclass
import matplotlib.pyplot as plt
import asyncio
SKRIPTPFAD = pathlib.Path(__file__).parent
CONFIGPFAD = SKRIPTPFAD / "config.toml"
CONF... | 30.1 | 108 | 0.598762 | 815 | 6,622 | 4.761963 | 0.218405 | 0.059521 | 0.027828 | 0.03092 | 0.427467 | 0.373873 | 0.355836 | 0.355836 | 0.320794 | 0.244009 | 0 | 0.004509 | 0.263214 | 6,622 | 219 | 109 | 30.237443 | 0.790531 | 0 | 0 | 0.320442 | 0 | 0 | 0.130645 | 0.004682 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049724 | false | 0 | 0.055249 | 0.016575 | 0.171271 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e8540b88c0120bfb5afdddeb8fe99456df3e245 | 3,115 | py | Python | test_utils/test_utils.py | Sawrz/yeti | 1dd0653e570dc80663cd23aab1ebf61a54e44001 | [
"MIT"
] | null | null | null | test_utils/test_utils.py | Sawrz/yeti | 1dd0653e570dc80663cd23aab1ebf61a54e44001 | [
"MIT"
] | null | null | null | test_utils/test_utils.py | Sawrz/yeti | 1dd0653e570dc80663cd23aab1ebf61a54e44001 | [
"MIT"
] | null | null | null | import string
import numpy as np
from yeti.get_features.hydrogen_bonds import Triplet
from yeti.systems.building_blocks import Atom
def create_data_type_exception_messages(parameter_name, data_type_name):
return 'Wrong data type for parameter "{name}". Desired type is {data_type}'.format(name=parameter_name,
... | 38.45679 | 113 | 0.646228 | 433 | 3,115 | 4.376443 | 0.228637 | 0.010554 | 0.014248 | 0.046438 | 0.208443 | 0.173615 | 0.138259 | 0.098153 | 0.098153 | 0.009499 | 0 | 0.035897 | 0.248796 | 3,115 | 80 | 114 | 38.9375 | 0.773932 | 0.03114 | 0 | 0 | 0 | 0 | 0.064698 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.14 | false | 0 | 0.08 | 0.06 | 0.36 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e865f0471666eee6566c8792893e373522a1f73 | 72,247 | py | Python | vaccinate/core/models.py | MoralCode/vial | cdaaab053a9cf1cef40104a2cdf480b7932d58f7 | [
"MIT"
] | null | null | null | vaccinate/core/models.py | MoralCode/vial | cdaaab053a9cf1cef40104a2cdf480b7932d58f7 | [
"MIT"
] | null | null | null | vaccinate/core/models.py | MoralCode/vial | cdaaab053a9cf1cef40104a2cdf480b7932d58f7 | [
"MIT"
] | null | null | null | from __future__ import annotations
import uuid
from datetime import datetime, timedelta
from functools import reduce
from operator import or_
from typing import Any, List, NamedTuple, Optional
import beeline
import pytz
import sentry_sdk
from django.conf import settings
from django.contrib.auth.models import User
fro... | 36.654997 | 179 | 0.648428 | 8,496 | 72,247 | 5.278131 | 0.110993 | 0.02589 | 0.024931 | 0.031465 | 0.53277 | 0.46054 | 0.408737 | 0.352273 | 0.306558 | 0.264456 | 0 | 0.002853 | 0.272247 | 72,247 | 1,970 | 180 | 36.673604 | 0.850013 | 0.128684 | 0 | 0.381646 | 0 | 0.007595 | 0.14085 | 0.017716 | 0 | 0 | 0 | 0 | 0.001266 | 1 | 0.041139 | false | 0 | 0.036076 | 0.020253 | 0.294937 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e88662b9dcdea887377483da9b99fbeb0a1e2ce | 1,650 | py | Python | src/train.py | SunbirdAI/SunBERT | b73ccf5115a0303b59b27df602bfe064c8ebd6fa | [
"MIT"
] | null | null | null | src/train.py | SunbirdAI/SunBERT | b73ccf5115a0303b59b27df602bfe064c8ebd6fa | [
"MIT"
] | 1 | 2021-02-24T17:11:26.000Z | 2021-02-24T17:11:31.000Z | src/train.py | SunbirdAI/SunBERT | b73ccf5115a0303b59b27df602bfe064c8ebd6fa | [
"MIT"
] | 1 | 2021-12-10T12:27:17.000Z | 2021-12-10T12:27:17.000Z | import pandas as pd
from dataset import create_dataloader
from engine import train_fn
from model import SunBERT
from transformers import AdamW
from torch import nn
def run():
MAX_LEN = 66
BATCH_SIZE = 32
EPOCHS = 5
device = torch.device("cuda:0" if torch.cuda.is_available() else "Couldn't find GPU dev... | 38.372093 | 130 | 0.746667 | 247 | 1,650 | 4.696356 | 0.433198 | 0.034483 | 0.046552 | 0.051724 | 0.113793 | 0.058621 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 0.163636 | 1,650 | 42 | 131 | 39.285714 | 0.826087 | 0.081818 | 0 | 0 | 0 | 0 | 0.05298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.2 | 0 | 0.233333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e89e5918f3ccc62e2c9d037ec970ff4354a9c3b | 4,430 | py | Python | COVID-19_Old.py | JustHarsh/Drug_Discovery-COVID-19 | 0dd941797e6a928f70f2ea706f584259ca24478f | [
"MIT"
] | 5 | 2020-05-23T13:10:51.000Z | 2021-09-07T13:56:38.000Z | COVID-19_Old.py | JustHarsh/Drug_Discovery-COVID-19 | 0dd941797e6a928f70f2ea706f584259ca24478f | [
"MIT"
] | null | null | null | COVID-19_Old.py | JustHarsh/Drug_Discovery-COVID-19 | 0dd941797e6a928f70f2ea706f584259ca24478f | [
"MIT"
] | null | null | null | # Importing all essential libraries
import os
import random
import sys
import pandas as pd
import numpy as np
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers import Dropout
from keras.optimizers import RMSprop
from keras.utils.data_utils import get_fil... | 29.731544 | 93 | 0.584876 | 545 | 4,430 | 4.645872 | 0.321101 | 0.028436 | 0.027646 | 0.033175 | 0.14139 | 0.097946 | 0.097946 | 0.097946 | 0.097946 | 0.097946 | 0 | 0.015646 | 0.163205 | 4,430 | 148 | 94 | 29.932432 | 0.667386 | 0.245598 | 0 | 0.117647 | 0 | 0 | 0.066485 | 0.014506 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023529 | false | 0 | 0.164706 | 0 | 0.2 | 0.141176 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e8c90529784c32fc97eee269bf1f19fcbbdd280 | 1,494 | py | Python | tests/service/test_base.py | flyinactor91/AVWX-Engine | 0d3ce2c6e962d2a3ec9db711caf9d1c94658fa80 | [
"MIT"
] | 30 | 2015-09-08T20:38:41.000Z | 2019-03-10T07:10:47.000Z | tests/service/test_base.py | sthagen/avwx-engine | af235b9d26e5495f04076ed5499cf8cd131d4efc | [
"MIT"
] | 5 | 2015-08-12T15:50:07.000Z | 2019-04-16T00:42:12.000Z | tests/service/test_base.py | sthagen/avwx-engine | af235b9d26e5495f04076ed5499cf8cd131d4efc | [
"MIT"
] | 11 | 2016-01-17T10:10:29.000Z | 2019-01-13T17:55:36.000Z | """
Service API Tests
"""
# pylint: disable=missing-class-docstring
# stdlib
from typing import Tuple
import unittest
# module
from avwx import service
BASE_ATTRS = ("url", "report_type", "_valid_types")
class BaseTestService(unittest.IsolatedAsyncioTestCase):
serv: service.Service
service_class = servic... | 28.730769 | 66 | 0.660643 | 176 | 1,494 | 5.448864 | 0.340909 | 0.052138 | 0.05318 | 0.037539 | 0.22732 | 0.22732 | 0.22732 | 0.22732 | 0.145985 | 0.145985 | 0 | 0.00088 | 0.238956 | 1,494 | 51 | 67 | 29.294118 | 0.842568 | 0.113119 | 0 | 0.129032 | 0 | 0 | 0.0208 | 0 | 0 | 0 | 0 | 0 | 0.193548 | 1 | 0.096774 | false | 0 | 0.096774 | 0 | 0.419355 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e8c94240a87d0206591689e63849ac4c1ef22b0 | 1,267 | py | Python | src/main.py | DanielWieczorek/FancyReadmeBuilder | a0a91ec60a673be97d7a942ded5e1da659dda885 | [
"MIT"
] | null | null | null | src/main.py | DanielWieczorek/FancyReadmeBuilder | a0a91ec60a673be97d7a942ded5e1da659dda885 | [
"MIT"
] | null | null | null | src/main.py | DanielWieczorek/FancyReadmeBuilder | a0a91ec60a673be97d7a942ded5e1da659dda885 | [
"MIT"
] | null | null | null | """
This is a nifty little tool to create really cool looking Readme files.
Its essentially a templating tool for such. The initial steps to create a template are the following:
- create a super cool ANSI Art design for your readme.
- create a template that uses this image and defines fields where text can be inserted.... | 27.543478 | 115 | 0.767956 | 179 | 1,267 | 5.27933 | 0.502793 | 0.022222 | 0.028571 | 0.053968 | 0.066667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168903 | 1,267 | 45 | 116 | 28.155556 | 0.897436 | 0.562747 | 0 | 0 | 0 | 0 | 0.020221 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.2 | 0.266667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e91bffc137dacb98dd65fdc54a68e7adb4518df | 3,080 | py | Python | bin/soundboard_scripts/soundboard-preprocess.py | andrewmichaud/scripts | 0e79a3454ec0116a0e3ed2902b79494939050937 | [
"0BSD"
] | 1 | 2016-10-13T18:36:59.000Z | 2016-10-13T18:36:59.000Z | bin/soundboard_scripts/soundboard-preprocess.py | andrewmichaud/scripts | 0e79a3454ec0116a0e3ed2902b79494939050937 | [
"0BSD"
] | null | null | null | bin/soundboard_scripts/soundboard-preprocess.py | andrewmichaud/scripts | 0e79a3454ec0116a0e3ed2902b79494939050937 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
import json
# If you change this be sure to change it everywhere in the main ahk file too.
bank_size = 8
input_file = "soundboard_data.json"
output_file = "soundboard_data.ahk"
def indent(indent_level):
return (indent_level * 4) * " "
def main():
with open(input_file) as f:
d... | 29.615385 | 87 | 0.612662 | 403 | 3,080 | 4.506203 | 0.287841 | 0.145374 | 0.140419 | 0.146476 | 0.409692 | 0.390969 | 0.355727 | 0.331498 | 0.30837 | 0.285242 | 0 | 0.009063 | 0.247727 | 3,080 | 103 | 88 | 29.902913 | 0.774709 | 0.154545 | 0 | 0.298507 | 0 | 0 | 0.260601 | 0.178489 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.014925 | 0.014925 | 0.059701 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e93915ecdb2cdb619894439c631119916b71978 | 1,822 | py | Python | 1047.remove-all-adjacent-duplicates-in-string.py | windard/leeeeee | 0107a5f95746592ca4fe78d2b5875cf65b1910e7 | [
"MIT"
] | null | null | null | 1047.remove-all-adjacent-duplicates-in-string.py | windard/leeeeee | 0107a5f95746592ca4fe78d2b5875cf65b1910e7 | [
"MIT"
] | null | null | null | 1047.remove-all-adjacent-duplicates-in-string.py | windard/leeeeee | 0107a5f95746592ca4fe78d2b5875cf65b1910e7 | [
"MIT"
] | null | null | null | # coding=utf-8
#
# @lc app=leetcode id=1047 lang=python
#
# [1047] Remove All Adjacent Duplicates In String
#
# https://leetcode.com/problems/remove-all-adjacent-duplicates-in-string/description/
#
# algorithms
# Easy (63.77%)
# Likes: 184
# Dislikes: 18
# Total Accepted: 21.7K
# Total Submissions: 34K
# Testcase... | 23.063291 | 85 | 0.57629 | 226 | 1,822 | 4.610619 | 0.544248 | 0.017274 | 0.03263 | 0.051823 | 0.067179 | 0.067179 | 0 | 0 | 0 | 0 | 0 | 0.02818 | 0.318332 | 1,822 | 78 | 86 | 23.358974 | 0.810789 | 0.634468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0 | 0 | 0.176471 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e99fc63ab0f76d9f24c67f04cff7cdb44f433f8 | 3,444 | py | Python | v1_fastecdsa/bsgs_algo_modified.py | Chesterfield007/bsgs | dc3a7ab73ca7b385d25f7b486e8efa293c4e3bf8 | [
"MIT"
] | 55 | 2021-01-15T17:01:10.000Z | 2022-03-26T20:15:33.000Z | v1_fastecdsa/bsgs_algo_modified.py | Chesterfield007/bsgs | dc3a7ab73ca7b385d25f7b486e8efa293c4e3bf8 | [
"MIT"
] | 53 | 2021-02-14T22:17:44.000Z | 2022-01-28T17:43:59.000Z | v1_fastecdsa/bsgs_algo_modified.py | Chesterfield007/bsgs | dc3a7ab73ca7b385d25f7b486e8efa293c4e3bf8 | [
"MIT"
] | 33 | 2021-02-19T13:30:49.000Z | 2022-01-12T06:58:07.000Z | # -*- coding: utf-8 -*-
"""
@author: iceland
"""
import bit
import time
import random
import os
from fastecdsa import curve
from fastecdsa.point import Point
bs_file = 'baby_steps_table.txt'
def Pub2Point(public_key):
x = int(public_key[2:66],16)
if len(public_key) < 70:
y = bit.form... | 32.8 | 146 | 0.525842 | 455 | 3,444 | 3.89011 | 0.323077 | 0.086441 | 0.027119 | 0.014689 | 0.061017 | 0.045198 | 0 | 0 | 0 | 0 | 0 | 0.066693 | 0.255517 | 3,444 | 104 | 147 | 33.115385 | 0.623635 | 0.126597 | 0 | 0.054795 | 0 | 0.013699 | 0.16928 | 0.052272 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041096 | false | 0 | 0.082192 | 0 | 0.164384 | 0.109589 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1e9d25884d2e5c0101e720dedd1422a914d3a51f | 6,921 | py | Python | utils/search_methods/improved_genetic_algorithm.py | Yzx835/AISafety | eb09551814898c7f6d86641b47faf7845c948640 | [
"MIT"
] | null | null | null | utils/search_methods/improved_genetic_algorithm.py | Yzx835/AISafety | eb09551814898c7f6d86641b47faf7845c948640 | [
"MIT"
] | null | null | null | utils/search_methods/improved_genetic_algorithm.py | Yzx835/AISafety | eb09551814898c7f6d86641b47faf7845c948640 | [
"MIT"
] | null | null | null | # !/usr/bin/env python
# coding=UTF-8
"""
@Author: WEN Hao
@LastEditors: WEN Hao
@Description:
@Date: 2021-09-09
@LastEditTime: 2022-04-17
文章Natural Language Adversarial Attack and Defense in Word Level中提出的遗传算法
注意!中文因为切词,可能进行 crossover 的操作之后,词的数目发生变化,
目前暂时把搜索范围截断为两个句子词数目较小的句子的词数目。
"""
from typing import NoReturn, L... | 40.238372 | 146 | 0.675625 | 828 | 6,921 | 5.353865 | 0.292271 | 0.074442 | 0.094293 | 0.024363 | 0.18836 | 0.138055 | 0.089781 | 0.0388 | 0.022558 | 0.022558 | 0 | 0.011036 | 0.253721 | 6,921 | 171 | 147 | 40.473684 | 0.847241 | 0.4063 | 0 | 0.043956 | 0 | 0 | 0.058009 | 0.058009 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065934 | false | 0 | 0.076923 | 0.010989 | 0.21978 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ea33dcbed661949c9cfc5e0d749a5bbbbaa4357 | 1,595 | py | Python | tests/operations/test_set_op.py | andypalmer9669/74_series_computer | 0b8a4776b49a2380a51863634b48bcc441bf74ec | [
"MIT"
] | null | null | null | tests/operations/test_set_op.py | andypalmer9669/74_series_computer | 0b8a4776b49a2380a51863634b48bcc441bf74ec | [
"MIT"
] | 46 | 2019-02-22T16:46:02.000Z | 2020-03-08T20:26:37.000Z | tests/operations/test_set_op.py | andypalmer9669/74_series_computer | 0b8a4776b49a2380a51863634b48bcc441bf74ec | [
"MIT"
] | null | null | null | import pytest
from eight_bit_computer.operations import set_op
from eight_bit_computer.data_structures import get_machine_code_byte_template
from eight_bit_computer.exceptions import OperationParsingError
def generate_parse_line_test_data():
ret = []
test_input = ""
expected = []
ret.append((test_in... | 25.725806 | 77 | 0.676489 | 219 | 1,595 | 4.557078 | 0.228311 | 0.144289 | 0.119238 | 0.09018 | 0.638277 | 0.467936 | 0.421844 | 0.421844 | 0.244489 | 0.244489 | 0 | 0.038911 | 0.194357 | 1,595 | 61 | 78 | 26.147541 | 0.737743 | 0 | 0 | 0.333333 | 0 | 0 | 0.165517 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 1 | 0.0625 | false | 0 | 0.083333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ea3c749e4408cf0fa0ebae421190ee713d5bf51 | 10,098 | py | Python | src/models/ToothModel.py | arminnh/ma2-computer-vision | 9e931c87e097cd444ea292cdfff727636f003c36 | [
"MIT"
] | null | null | null | src/models/ToothModel.py | arminnh/ma2-computer-vision | 9e931c87e097cd444ea292cdfff727636f003c36 | [
"MIT"
] | null | null | null | src/models/ToothModel.py | arminnh/ma2-computer-vision | 9e931c87e097cd444ea292cdfff727636f003c36 | [
"MIT"
] | null | null | null | import numpy as np
import scipy.spatial.distance
from scipy import linalg
import procrustes_analysis
import util
from Landmark import Landmark
from models.CenterInitializationModel import CenterInitializationModel
class ToothModel:
def __init__(self, name, landmarks, pcaComponents, sampleAmount):
self.na... | 42.970213 | 120 | 0.672509 | 997 | 10,098 | 6.794383 | 0.271815 | 0.014615 | 0.007086 | 0.005314 | 0.109536 | 0.109536 | 0.084145 | 0.060526 | 0.02982 | 0.02982 | 0 | 0.004095 | 0.250248 | 10,098 | 234 | 121 | 43.153846 | 0.890635 | 0.25005 | 0 | 0.080882 | 0 | 0 | 0.025003 | 0 | 0 | 0 | 0 | 0.004274 | 0 | 1 | 0.095588 | false | 0 | 0.051471 | 0.007353 | 0.242647 | 0.007353 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ea6959c71f84b4fbb20cdee1843fe3bbf5d0e59 | 4,169 | py | Python | ImageProcessingScripts/Automated Pixel Sorting/automated_pixel_sorting.py | rafaelapcruz/Awesome_Python_Scripts | 6493ce989c1bcd707a10836f09462916388476a1 | [
"MIT"
] | 1 | 2021-12-07T17:37:56.000Z | 2021-12-07T17:37:56.000Z | ImageProcessingScripts/Automated Pixel Sorting/automated_pixel_sorting.py | rafaelapcruz/Awesome_Python_Scripts | 6493ce989c1bcd707a10836f09462916388476a1 | [
"MIT"
] | null | null | null | ImageProcessingScripts/Automated Pixel Sorting/automated_pixel_sorting.py | rafaelapcruz/Awesome_Python_Scripts | 6493ce989c1bcd707a10836f09462916388476a1 | [
"MIT"
] | null | null | null | import os
import sys
import getopt
import random as r
from PIL import Image
from pixelsort import pixelsort
def randomize_params():
angle = r.randint(90, 359)
# --- DEFINE ALL PARAMETERS ---
params = {
1: 'interval_function',
2: 'randomness',
3: 'lower_threshold',
4: 'upper... | 32.317829 | 84 | 0.562725 | 474 | 4,169 | 4.767932 | 0.267932 | 0.061947 | 0.055752 | 0.047788 | 0.103982 | 0.040708 | 0.017699 | 0 | 0 | 0 | 0 | 0.018512 | 0.300312 | 4,169 | 129 | 85 | 32.317829 | 0.756256 | 0.118734 | 0 | 0.051546 | 0 | 0 | 0.201366 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030928 | false | 0.010309 | 0.061856 | 0 | 0.113402 | 0.123711 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ea73bdb618160f1e19273aa3d6ae48a8b2062e6 | 1,434 | py | Python | curl-monitor.py | geekvikas/hello-kubernetes | cdb94ef83adcb9ab4169f67137638aadc3d7509c | [
"MIT"
] | null | null | null | curl-monitor.py | geekvikas/hello-kubernetes | cdb94ef83adcb9ab4169f67137638aadc3d7509c | [
"MIT"
] | null | null | null | curl-monitor.py | geekvikas/hello-kubernetes | cdb94ef83adcb9ab4169f67137638aadc3d7509c | [
"MIT"
] | null | null | null | import requests
import time
import subprocess as sp
start_time = 0
running_instances = {}
errCount = 0
reqCount = 0
def printStatus(hostname,version):
global running_instances
global start_time, errCount, reqCount
elapsed_time = int(time.time() - start_time)
# if (elapsed_time % 2) == 0 :
strin... | 26.072727 | 139 | 0.608787 | 171 | 1,434 | 4.906433 | 0.374269 | 0.190703 | 0.046484 | 0.059595 | 0.154946 | 0.081049 | 0 | 0 | 0 | 0 | 0 | 0.023969 | 0.272664 | 1,434 | 55 | 140 | 26.072727 | 0.780441 | 0.019526 | 0 | 0.243902 | 0 | 0 | 0.099644 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.073171 | 0 | 0.121951 | 0.121951 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ea7b89e8805b8150979e44b372cf9c7862d376d | 4,352 | py | Python | utils/test_utils.py | kedartatwawadi/stanford_compression_library | a472a81c71aeb81e181421e42aed75971a1cf4be | [
"MIT"
] | 2 | 2022-01-10T06:18:47.000Z | 2022-01-10T06:18:55.000Z | utils/test_utils.py | kedartatwawadi/stanford_compression_library | a472a81c71aeb81e181421e42aed75971a1cf4be | [
"MIT"
] | 20 | 2021-10-17T23:40:52.000Z | 2022-03-08T04:35:42.000Z | utils/test_utils.py | kedartatwawadi/stanford_compression_library | a472a81c71aeb81e181421e42aed75971a1cf4be | [
"MIT"
] | null | null | null | """
Utility functions useful for testing
"""
import filecmp
from typing import Tuple
from core.data_block import DataBlock
from core.data_stream import TextFileDataStream
from core.data_encoder_decoder import DataDecoder, DataEncoder
from core.prob_dist import ProbabilityDist
from utils.bitarray_utils import BitArray,... | 36.881356 | 136 | 0.735064 | 607 | 4,352 | 5.041186 | 0.257002 | 0.05 | 0.021242 | 0.017647 | 0.111111 | 0.063399 | 0 | 0 | 0 | 0 | 0 | 0.003741 | 0.201517 | 4,352 | 117 | 137 | 37.196581 | 0.876835 | 0.398438 | 0 | 0.041667 | 0 | 0 | 0.013398 | 0 | 0 | 0 | 0 | 0 | 0.020833 | 1 | 0.104167 | false | 0 | 0.208333 | 0 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eab2801fa3a5a8256f44b1bd99c1e958db0f033 | 3,094 | py | Python | objects/classical_storage.py | h-oll/QuNetSim | e3647e512182eda2a303085ded30c7d1e55a4e01 | [
"MIT"
] | null | null | null | objects/classical_storage.py | h-oll/QuNetSim | e3647e512182eda2a303085ded30c7d1e55a4e01 | [
"MIT"
] | 4 | 2021-02-02T23:10:37.000Z | 2022-02-11T03:47:21.000Z | objects/classical_storage.py | h-oll/QuNetSim | e3647e512182eda2a303085ded30c7d1e55a4e01 | [
"MIT"
] | null | null | null | import components.protocols as protocols
class ClassicalStorage(object):
"""
A classical storage for messages.
"""
def __init__(self):
self._host_to_msg_dict = {}
self._host_to_read_index = {}
def _add_new_host_id(self, host_id):
self._host_to_msg_dict[host_id] = []
... | 33.268817 | 94 | 0.616031 | 433 | 3,094 | 4.066975 | 0.212471 | 0.0954 | 0.113572 | 0.110733 | 0.387848 | 0.31289 | 0.28109 | 0.172061 | 0.172061 | 0.156729 | 0 | 0.000932 | 0.306723 | 3,094 | 92 | 95 | 33.630435 | 0.820047 | 0.275048 | 0 | 0.090909 | 0 | 0 | 0.017068 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.022727 | 0 | 0.386364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eabccfd77a86f3f295b6a683297245028bed3b7 | 4,331 | py | Python | build.py | sug0/libgoimg | 46545f2a9a68a1063579e8b15c09fa8600128986 | [
"MIT"
] | 3 | 2019-02-26T13:41:46.000Z | 2019-05-02T16:43:13.000Z | build.py | sugoiuguu/libgoimg | 46545f2a9a68a1063579e8b15c09fa8600128986 | [
"MIT"
] | 1 | 2019-02-04T22:07:56.000Z | 2019-02-04T22:07:56.000Z | build.py | sugoiuguu/libgoimg | 46545f2a9a68a1063579e8b15c09fa8600128986 | [
"MIT"
] | null | null | null | import re
import os
from sys import exit, argv
from platform import machine
from functools import reduce
def is_exe(fpath):
return os.path.isfile(fpath) and os.access(fpath, os.X_OK)
def which(program):
if os.name == 'nt':
program += '.exe'
fpath, fname = os.path.split(program)
if fpath and... | 27.585987 | 98 | 0.529439 | 581 | 4,331 | 3.884682 | 0.342513 | 0.008861 | 0.019495 | 0.026584 | 0.095702 | 0.030128 | 0.030128 | 0.030128 | 0 | 0 | 0 | 0.034563 | 0.305241 | 4,331 | 156 | 99 | 27.762821 | 0.71552 | 0.070423 | 0 | 0.140496 | 0 | 0.008264 | 0.173058 | 0.011205 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.041322 | 0.033058 | 0.297521 | 0.008264 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eac22c7615b08f822c855110b5fa481a819bff8 | 273 | py | Python | sisbp_cat.py | naotohori/cafysis | 9d8534121c01ea75ae965cf39a1e307052ff8523 | [
"MIT"
] | 2 | 2022-02-25T17:32:41.000Z | 2022-03-31T14:38:55.000Z | sisbp_cat.py | naotohori/cafysis | 9d8534121c01ea75ae965cf39a1e307052ff8523 | [
"MIT"
] | 2 | 2020-05-03T08:36:10.000Z | 2021-01-27T12:40:50.000Z | sisbp_cat.py | naotohori/life-of-py | 9d8534121c01ea75ae965cf39a1e307052ff8523 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from cafysis.file_io.sisbp import SisbpFile
import sys
f = SisbpFile(sys.argv[1])
f.open_to_read()
while f.has_more_data():
pairs = f.read_onestep()
for p in pairs:
print(f" ({p[0]:d}, {p[1]:d})", end='')
print("")
f.close()
| 15.166667 | 47 | 0.611722 | 47 | 273 | 3.425532 | 0.680851 | 0.074534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013636 | 0.194139 | 273 | 17 | 48 | 16.058824 | 0.718182 | 0.07326 | 0 | 0 | 0 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eac32e0121b7c0cf9d2b404b91b0f2a824ee7a2 | 535 | py | Python | sendemail.py | kenelite/pypractise | ef79ca760533096e6da89846e2974fa47a060440 | [
"MIT"
] | null | null | null | sendemail.py | kenelite/pypractise | ef79ca760533096e6da89846e2974fa47a060440 | [
"MIT"
] | null | null | null | sendemail.py | kenelite/pypractise | ef79ca760533096e6da89846e2974fa47a060440 | [
"MIT"
] | null | null | null | #/usr/bin/env python
import smtplib
mail_server = 'localhost'
mail_server_port = 25
from_addr = 'sender@devcentos.example.com'
to_addr = 'root@devcentos.example.com'
from_header = 'From: %s\r\n' % from_addr
to_header = 'To: %s\r\n\r\n' % to_addr
subject_header = 'Subject: nothing interesting'
body = 'This is not... | 22.291667 | 84 | 0.73271 | 90 | 535 | 4.133333 | 0.411111 | 0.107527 | 0.075269 | 0.021505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004255 | 0.121495 | 535 | 23 | 85 | 23.26087 | 0.787234 | 0.035514 | 0 | 0 | 0 | 0 | 0.324272 | 0.104854 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ead0b0255a3ba3da34a217fdcc1371caa46d76d | 717 | py | Python | factioncli/commands/log.py | s3b4stian/CLI | 057e4e9e2bff7bdce0f60106a0c61938386f7d01 | [
"BSD-3-Clause"
] | null | null | null | factioncli/commands/log.py | s3b4stian/CLI | 057e4e9e2bff7bdce0f60106a0c61938386f7d01 | [
"BSD-3-Clause"
] | null | null | null | factioncli/commands/log.py | s3b4stian/CLI | 057e4e9e2bff7bdce0f60106a0c61938386f7d01 | [
"BSD-3-Clause"
] | null | null | null | import logging
from cliff.command import Command
from factioncli.processing.docker.logs import get_logs
class Log(Command):
"Handles Log Command"
def get_parser(self, prog_name):
parser = super(Log, self).get_parser(prog_name)
parser.add_argument('-f','--follow',
he... | 34.142857 | 63 | 0.559275 | 75 | 717 | 5.173333 | 0.493333 | 0.07732 | 0.072165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002146 | 0.35007 | 717 | 21 | 63 | 34.142857 | 0.830472 | 0.026499 | 0 | 0 | 0 | 0 | 0.133705 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.176471 | 0 | 0.411765 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eaeeb70f4d3820cedf81ea0c740713a9b0641c3 | 10,097 | py | Python | delfick_project/option_merge/path.py | delfick/delfick_project | 4b49209639dd10cff6f48b4f5617cb7874481aaa | [
"MIT"
] | 1 | 2020-12-01T21:11:24.000Z | 2020-12-01T21:11:24.000Z | delfick_project/option_merge/path.py | delfick/delfick_project | 4b49209639dd10cff6f48b4f5617cb7874481aaa | [
"MIT"
] | 2 | 2019-11-18T05:28:19.000Z | 2019-11-18T07:12:24.000Z | delfick_project/option_merge/path.py | delfick/delfick_project | 4b49209639dd10cff6f48b4f5617cb7874481aaa | [
"MIT"
] | 2 | 2019-11-18T05:35:39.000Z | 2021-01-06T18:48:37.000Z | """
Option_merge uses this Path object to encapsulate the idea of a path and the
converters that are available to use.
We are able to use this to store a reference to the root of the configuration
as well as whether the converters should be ignored or not.
It's purpose is to behave like a string regardless of whether... | 31.751572 | 95 | 0.571754 | 1,229 | 10,097 | 4.560618 | 0.147274 | 0.064228 | 0.023194 | 0.022837 | 0.275468 | 0.196075 | 0.146833 | 0.094202 | 0.058162 | 0.043533 | 0 | 0.001826 | 0.349015 | 10,097 | 317 | 96 | 31.851735 | 0.850905 | 0.212142 | 0 | 0.236715 | 0 | 0 | 0.004335 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.009662 | 0.004831 | 0.36715 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eaf0d7cba39f6baabe80e6ccc1b07ab55100c68 | 7,468 | py | Python | test/helpers/acmeair_utils.py | cloudant-labs/spark-cloudant | 07f772eb21ec268f2e013a65dc2f21e01232f82b | [
"Apache-2.0"
] | 25 | 2015-11-02T16:50:47.000Z | 2020-11-07T13:41:36.000Z | test/helpers/acmeair_utils.py | cloudant-labs/spark-cloudant | 07f772eb21ec268f2e013a65dc2f21e01232f82b | [
"Apache-2.0"
] | 80 | 2015-10-14T11:08:00.000Z | 2018-03-26T01:30:20.000Z | test/helpers/acmeair_utils.py | cloudant-labs/spark-cloudant | 07f772eb21ec268f2e013a65dc2f21e01232f82b | [
"Apache-2.0"
] | 30 | 2015-10-13T19:14:13.000Z | 2020-11-08T07:23:30.000Z | #*******************************************************************************
# Copyright (c) 2015 IBM Corp.
#
# 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/li... | 32.611354 | 115 | 0.684922 | 978 | 7,468 | 5.101227 | 0.309816 | 0.033674 | 0.025256 | 0.015234 | 0.197835 | 0.156344 | 0.108439 | 0.076568 | 0.043295 | 0.043295 | 0 | 0.009508 | 0.183182 | 7,468 | 229 | 116 | 32.611354 | 0.808361 | 0.243706 | 0 | 0.216418 | 0 | 0 | 0.229223 | 0.02046 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059701 | false | 0.022388 | 0.059701 | 0 | 0.19403 | 0.067164 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eaff492508ad7fb7bb92e8d684b7499f0632a98 | 596 | py | Python | hackerrank-python/py-collections-namedtuple.py | fmelihh/competitive-programming-solutions | c15c2f7d90153f35f9bd9ffcea20ac921564eacf | [
"MIT"
] | 2 | 2021-09-06T22:13:12.000Z | 2021-11-22T08:50:04.000Z | hackerrank-python/py-collections-namedtuple.py | fmelihh/competitive-programming-solutions | c15c2f7d90153f35f9bd9ffcea20ac921564eacf | [
"MIT"
] | null | null | null | hackerrank-python/py-collections-namedtuple.py | fmelihh/competitive-programming-solutions | c15c2f7d90153f35f9bd9ffcea20ac921564eacf | [
"MIT"
] | null | null | null |
# https://www.hackerrank.com/challenges/py-collections-namedtuple/problem
from collections import namedtuple
if __name__ == '__main__':
test_cases = int(input())
length = test_cases
sum_marks = 0
colums = input().split()
while(test_cases > 0):
attributes = input().split... | 14.9 | 79 | 0.580537 | 64 | 596 | 5.171875 | 0.53125 | 0.108761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021226 | 0.288591 | 596 | 39 | 80 | 15.282051 | 0.759434 | 0.119128 | 0 | 0 | 0 | 0 | 0.042146 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eb6aa4e2227819f8ee6cee396c7d5b44ecaa7f9 | 2,147 | py | Python | 0.5.12/ui_tweak/dashcamd.py | eFiniLan/openpilot-patches | ec8f1552651c17e6e0d1821d958412b6fa049228 | [
"MIT"
] | 9 | 2019-03-02T14:54:48.000Z | 2021-09-06T13:48:08.000Z | 0.5.12/ui_tweak/dashcamd.py | eFiniLan/openpilot-patches | ec8f1552651c17e6e0d1821d958412b6fa049228 | [
"MIT"
] | null | null | null | 0.5.12/ui_tweak/dashcamd.py | eFiniLan/openpilot-patches | ec8f1552651c17e6e0d1821d958412b6fa049228 | [
"MIT"
] | 9 | 2019-02-28T18:48:08.000Z | 2021-11-07T20:12:54.000Z | #!/usr/bin/env python2.7
#
# courtesy of pjlao307 (https://github.com/pjlao307/)
# this is just his original implementation but
# in openpilot service form so it's always on
#
# with the highest bit rates, the video is approx. 0.5MB per second
# the default value is set to 2.56Mbps = 0.32MB per second
#
import os
impor... | 35.783333 | 123 | 0.695855 | 342 | 2,147 | 4.201754 | 0.44152 | 0.104384 | 0.048713 | 0.029228 | 0.141962 | 0.10856 | 0.069589 | 0.069589 | 0.069589 | 0.069589 | 0 | 0.041496 | 0.203074 | 2,147 | 59 | 124 | 36.389831 | 0.798364 | 0.389846 | 0 | 0 | 0 | 0 | 0.079969 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.09375 | 0.03125 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eb775eefae8b7ad81e9c1edc49fc135b3659d88 | 1,196 | py | Python | Problems/Study Plans/Data Structure/Data Structure II/66_find_the_winner_of_the_circular_game.py | andor2718/LeetCode | 59874f49085818e6da751f1cc26867b31079d35d | [
"BSD-3-Clause"
] | 1 | 2022-01-17T19:51:15.000Z | 2022-01-17T19:51:15.000Z | Problems/Study Plans/Data Structure/Data Structure II/66_find_the_winner_of_the_circular_game.py | andor2718/LeetCode | 59874f49085818e6da751f1cc26867b31079d35d | [
"BSD-3-Clause"
] | null | null | null | Problems/Study Plans/Data Structure/Data Structure II/66_find_the_winner_of_the_circular_game.py | andor2718/LeetCode | 59874f49085818e6da751f1cc26867b31079d35d | [
"BSD-3-Clause"
] | null | null | null | # https://leetcode.com/problems/find-the-winner-of-the-circular-game/
class ListNode:
def __init__(self, val=0, next=None, prev=None):
self.val = val
self.next = next
self.prev = prev
class Solution:
def findTheWinner(self, n: int, k: int) -> int:
if n == 1:
return... | 34.171429 | 75 | 0.579431 | 170 | 1,196 | 3.841176 | 0.329412 | 0.159265 | 0.073507 | 0.073507 | 0.162328 | 0.098009 | 0.098009 | 0.098009 | 0 | 0 | 0 | 0.012547 | 0.333612 | 1,196 | 34 | 76 | 35.176471 | 0.806775 | 0.165552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eb7c03290fb08e39908cee05b1cbf3161290e22 | 1,237 | py | Python | gmql/dataset/parsers/__init__.py | DEIB-GECO/PyGMQL | c7582b916c985a1521276a3e7eaba010b7902687 | [
"Apache-2.0"
] | 12 | 2017-06-10T13:18:32.000Z | 2021-05-06T12:19:07.000Z | gmql/dataset/parsers/__init__.py | DEIB-GECO/PyGMQL | c7582b916c985a1521276a3e7eaba010b7902687 | [
"Apache-2.0"
] | 28 | 2017-05-09T13:38:17.000Z | 2021-09-29T11:54:23.000Z | gmql/dataset/parsers/__init__.py | DEIB-GECO/PyGMQL | c7582b916c985a1521276a3e7eaba010b7902687 | [
"Apache-2.0"
] | 5 | 2017-10-11T13:53:57.000Z | 2020-02-28T06:21:21.000Z | # -*- coding: utf-8 -*-
# strings to recognize as NaN
NULL = "null"
INF = "∞"
UNDEFINED = "�"
null_values = [NULL, INF, UNDEFINED]
GTF = "gtf"
TAB = "tab"
VCF = "vcf"
string_aliases = ['string', 'char']
int_aliases = ['long', 'int', 'integer']
float_aliases = ['double', 'float']
bool_aliases = ['bool', 'boolean']
al... | 22.907407 | 74 | 0.662894 | 162 | 1,237 | 4.858025 | 0.388889 | 0.060991 | 0.060991 | 0.060991 | 0.129606 | 0.129606 | 0.129606 | 0.129606 | 0.129606 | 0.129606 | 0.000808 | 0.003125 | 0.223929 | 1,237 | 54 | 75 | 22.907407 | 0.814583 | 0.039612 | 0 | 0.097561 | 0 | 0 | 0.137437 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.073171 | 0 | 0.317073 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1eb85d0b0b100f5bb627dcd79ecd47d9d0502716 | 15,321 | py | Python | src/atomicfileio/__init__.py | sammck/python-atomicfileio | 23ec410815cf5f825e49cf18cb822b352943b758 | [
"MIT"
] | null | null | null | src/atomicfileio/__init__.py | sammck/python-atomicfileio | 23ec410815cf5f825e49cf18cb822b352943b758 | [
"MIT"
] | null | null | null | src/atomicfileio/__init__.py | sammck/python-atomicfileio | 23ec410815cf5f825e49cf18cb822b352943b758 | [
"MIT"
] | null | null | null | """Support for safely atomically updating files
This module provides tools for overwriting files in such a way that a reader will never see a partially written file.
Portions borrowed from https://code.activestate.com/recipes/579097-safely-and-atomically-write-to-a-file/,
also under the MIT license.
"""
__version__ =... | 46.427273 | 140 | 0.685595 | 2,316 | 15,321 | 4.48532 | 0.213731 | 0.02628 | 0.026184 | 0.009241 | 0.188487 | 0.149981 | 0.118598 | 0.079322 | 0.076242 | 0.054293 | 0 | 0.007757 | 0.251159 | 15,321 | 329 | 141 | 46.568389 | 0.897673 | 0.713204 | 0 | 0.229008 | 0 | 0 | 0.025177 | 0 | 0 | 0 | 0 | 0 | 0.007634 | 1 | 0.038168 | false | 0.030534 | 0.099237 | 0 | 0.175573 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ebaa882aa44892e3a1918f92d6f8a028a36933a | 2,259 | py | Python | iv_plan/examples/hironxsys_hand_ar.py | ryhanai/iv-plan-hironx | 2f89293a55df4608cb35e6a9676db97b9e486e7d | [
"BSD-3-Clause"
] | null | null | null | iv_plan/examples/hironxsys_hand_ar.py | ryhanai/iv-plan-hironx | 2f89293a55df4608cb35e6a9676db97b9e486e7d | [
"BSD-3-Clause"
] | null | null | null | iv_plan/examples/hironxsys_hand_ar.py | ryhanai/iv-plan-hironx | 2f89293a55df4608cb35e6a9676db97b9e486e7d | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import roslib; roslib.load_manifest('iv_plan')
from ivutils import *
from hironxsys import *
import rospy
from ar_pose.msg import ARMarkers
from tf.transformations import *
import operator
def encode_FRAME(f):
return reduce(operator.__add__, f.mat) + f.vec
def decode_FRAME(ds):
retu... | 32.271429 | 104 | 0.660912 | 308 | 2,259 | 4.698052 | 0.357143 | 0.009675 | 0.008293 | 0.029026 | 0.143746 | 0.109191 | 0.109191 | 0.100898 | 0.100898 | 0.052522 | 0 | 0.024444 | 0.203187 | 2,259 | 69 | 105 | 32.73913 | 0.779444 | 0.062417 | 0 | 0.083333 | 0 | 0 | 0.061051 | 0.02461 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0 | 0.166667 | 0.041667 | 0.520833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ebb910855fd59083774495a20a52d1eeadfcf75 | 1,513 | py | Python | tests/test_randomvariablelist.py | ralfrost/probnum | 6b0988009a9dd7ecda87ba28c9d5c0b8019981b6 | [
"MIT"
] | null | null | null | tests/test_randomvariablelist.py | ralfrost/probnum | 6b0988009a9dd7ecda87ba28c9d5c0b8019981b6 | [
"MIT"
] | null | null | null | tests/test_randomvariablelist.py | ralfrost/probnum | 6b0988009a9dd7ecda87ba28c9d5c0b8019981b6 | [
"MIT"
] | null | null | null | import unittest
import numpy as np
from probnum._randomvariablelist import _RandomVariableList
from probnum.random_variables import Dirac
class TestRandomVariableList(unittest.TestCase):
def setUp(self):
self.rv_list = _RandomVariableList([Dirac(0.1), Dirac(0.2)])
def test_inputs(self):
"""In... | 29.666667 | 73 | 0.623265 | 184 | 1,513 | 4.918478 | 0.342391 | 0.039779 | 0.066298 | 0.057459 | 0.028729 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018987 | 0.269002 | 1,513 | 50 | 74 | 30.26 | 0.799277 | 0.037013 | 0 | 0.054054 | 0 | 0 | 0.005513 | 0 | 0 | 0 | 0 | 0 | 0.162162 | 1 | 0.189189 | false | 0 | 0.108108 | 0 | 0.324324 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ebbf6764706c37fc954f30837690895994c3e65 | 1,759 | py | Python | example_code/python/plot_curve_fit.py | NicoJG/PraktikumPhysikRepoVorlage | b29a4302958edc6205e2b107f7253f614cea0181 | [
"MIT"
] | 1 | 2021-08-21T17:08:39.000Z | 2021-08-21T17:08:39.000Z | example_code/python/plot_curve_fit.py | NicoJG/PraktikumPhysikRepoVorlage | b29a4302958edc6205e2b107f7253f614cea0181 | [
"MIT"
] | null | null | null | example_code/python/plot_curve_fit.py | NicoJG/PraktikumPhysikRepoVorlage | b29a4302958edc6205e2b107f7253f614cea0181 | [
"MIT"
] | null | null | null | # Erstelle aus gegebnen Daten eine Ausgleichskurve
# Und Plotte diese Kurve + die Daten
# wechsle die Working Directory zum Versuchsordner, damit das Python-Script von überall ausgeführt werden kann
import os,pathlib
project_path = pathlib.Path(__file__).absolute().parent.parent
os.chdir(project_path)
# benutze die ma... | 30.859649 | 110 | 0.728823 | 278 | 1,759 | 4.532374 | 0.507194 | 0.034921 | 0.022222 | 0.031746 | 0.052381 | 0.052381 | 0 | 0 | 0 | 0 | 0 | 0.014829 | 0.118249 | 1,759 | 57 | 111 | 30.859649 | 0.79755 | 0.388289 | 0 | 0 | 0 | 0 | 0.194707 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.148148 | 0.037037 | 0.222222 | 0.074074 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ebc01631e08d866baf1828fd8f7817027107805 | 2,547 | py | Python | pachicounter/util.py | yukkeorg/PachiCounter | 764526874e9ec03e06e7b61b136b20100e32d471 | [
"MIT"
] | null | null | null | pachicounter/util.py | yukkeorg/PachiCounter | 764526874e9ec03e06e7b61b136b20100e32d471 | [
"MIT"
] | null | null | null | pachicounter/util.py | yukkeorg/PachiCounter | 764526874e9ec03e06e7b61b136b20100e32d471 | [
"MIT"
] | null | null | null | # vim: ts=4 sts=4 sw=4 et
#####################################################################
# Pachi Counter
# Copyright (c) 2011-2020, Yusuke Ohshima All rights reserved.
#
# License: MIT.
# For details, please see LICENSE file.
#####################################################################
def bit_is_enab... | 26.53125 | 74 | 0.505693 | 366 | 2,547 | 3.39071 | 0.34153 | 0.008058 | 0.035455 | 0.016116 | 0.059629 | 0.038678 | 0.038678 | 0 | 0 | 0 | 0 | 0.054083 | 0.274048 | 2,547 | 95 | 75 | 26.810526 | 0.61709 | 0.058893 | 0 | 0.060606 | 0 | 0 | 0.084814 | 0.043517 | 0 | 0 | 0.001776 | 0 | 0 | 1 | 0.151515 | false | 0 | 0 | 0.060606 | 0.287879 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ebea48b67d5622f6da1e6d92ac82373b246ae19 | 309 | py | Python | Prediction.py | neerajgupta2407/Fake-News-Foe | 394c83be8ea98caa60af7fdca2c8ec34af67c33f | [
"Apache-2.0"
] | 9 | 2020-03-26T12:22:57.000Z | 2021-05-01T20:07:55.000Z | Prediction.py | neerajgupta2407/Fake-News-Foe | 394c83be8ea98caa60af7fdca2c8ec34af67c33f | [
"Apache-2.0"
] | 4 | 2020-10-20T15:13:44.000Z | 2022-02-10T01:46:36.000Z | Prediction.py | neerajgupta2407/Fake-News-Foe | 394c83be8ea98caa60af7fdca2c8ec34af67c33f | [
"Apache-2.0"
] | 5 | 2020-03-25T15:26:14.000Z | 2020-12-03T20:07:23.000Z | import pickle
#function to run for prediction
def detecting_fake_news(var):
#retrieving the best model for prediction call
load_model = pickle.load(open('model/final_model.sav', 'rb'))
prediction = load_model.predict([var])
prob = load_model.predict_proba([var])
return prediction, prob
| 28.090909 | 65 | 0.734628 | 43 | 309 | 5.116279 | 0.604651 | 0.122727 | 0.145455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165049 | 309 | 10 | 66 | 30.9 | 0.852713 | 0.242718 | 0 | 0 | 0 | 0 | 0.099138 | 0.090517 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ec140a711eadb53834529c9948538cfabdd7acf | 9,058 | py | Python | chapter01/tic_tac_toe.py | TomaszGolan/rl-intro | 1676bfaea0c1661f931c160ed9ae104ee0b7b968 | [
"MIT"
] | null | null | null | chapter01/tic_tac_toe.py | TomaszGolan/rl-intro | 1676bfaea0c1661f931c160ed9ae104ee0b7b968 | [
"MIT"
] | null | null | null | chapter01/tic_tac_toe.py | TomaszGolan/rl-intro | 1676bfaea0c1661f931c160ed9ae104ee0b7b968 | [
"MIT"
] | null | null | null | import re
import random
import numpy as np
from itertools import product
from enum import Enum, unique
from abc import ABC, abstractmethod
from typing import Iterator, Dict, List
SIZE = 3 # board size (represented by numpy.array SIZExSIZE)
# for human player
KEYS = {'q': (0, 0), 'w': (0, 1), 'e': (0, 2),
'a'... | 31.894366 | 80 | 0.593729 | 1,234 | 9,058 | 4.269044 | 0.210697 | 0.027904 | 0.029233 | 0.013288 | 0.104973 | 0.069476 | 0.037206 | 0.026196 | 0 | 0 | 0 | 0.022633 | 0.278097 | 9,058 | 283 | 81 | 32.007067 | 0.782994 | 0.261758 | 0 | 0.087248 | 0 | 0 | 0.038072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147651 | false | 0.026846 | 0.04698 | 0 | 0.302013 | 0.040268 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ec1f348503a6ddff54e195931bc4015e263f684 | 2,034 | py | Python | run/make_cal_sinograms.py | TysonReimer/itDAS | d4b4313afe253186b12e1e8eda5ef55bada0c764 | [
"Apache-2.0"
] | 8 | 2020-04-27T05:43:33.000Z | 2021-12-05T14:48:09.000Z | run/make_cal_sinograms.py | TysonReimer/itDAS | d4b4313afe253186b12e1e8eda5ef55bada0c764 | [
"Apache-2.0"
] | null | null | null | run/make_cal_sinograms.py | TysonReimer/itDAS | d4b4313afe253186b12e1e8eda5ef55bada0c764 | [
"Apache-2.0"
] | 2 | 2021-02-16T11:07:07.000Z | 2021-12-05T14:48:27.000Z | """
Tyson Reimer
University of Manitoba
January 28th, 2020
"""
import os
from umbms import get_proj_path, get_script_logger
from umbms.loadsave import load_pickle, save_pickle
from umbms.beamform.sigproc import iczt
###############################################################################
__DA... | 30.358209 | 80 | 0.576696 | 266 | 2,034 | 4.007519 | 0.379699 | 0.067542 | 0.028143 | 0.028143 | 0.031895 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011494 | 0.272861 | 2,034 | 66 | 81 | 30.818182 | 0.709263 | 0.26352 | 0 | 0 | 0 | 0 | 0.096491 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ec58569c44771c682f58f8e09b37bae0d7d95c2 | 5,477 | py | Python | waveform_analysis/tests/test_ITU_R_468_weighting.py | pirun/waveform_analysis | 66809614b1fc985e694af1720341035316a5ac8e | [
"MIT"
] | 125 | 2017-08-27T01:48:02.000Z | 2022-01-20T10:47:13.000Z | waveform_analysis/tests/test_ITU_R_468_weighting.py | pirun/waveform_analysis | 66809614b1fc985e694af1720341035316a5ac8e | [
"MIT"
] | 13 | 2017-06-25T14:57:43.000Z | 2022-03-18T19:54:19.000Z | waveform_analysis/tests/test_ITU_R_468_weighting.py | pirun/waveform_analysis | 66809614b1fc985e694af1720341035316a5ac8e | [
"MIT"
] | 48 | 2017-06-25T10:42:10.000Z | 2022-03-09T18:13:55.000Z | import pytest
from scipy import signal
from scipy.interpolate import interp1d
import numpy as np
from numpy import pi
# This package must first be installed with `pip install -e .` or similar
from waveform_analysis import (ITU_R_468_weighting_analog,
ITU_R_468_weighting, ITU_R_468_weight... | 34.88535 | 75 | 0.606171 | 815 | 5,477 | 3.955828 | 0.26135 | 0.022333 | 0.026055 | 0.044665 | 0.583747 | 0.530087 | 0.514888 | 0.486352 | 0.463089 | 0.463089 | 0 | 0.099926 | 0.258171 | 5,477 | 156 | 76 | 35.108974 | 0.693576 | 0.148074 | 0 | 0.359649 | 0 | 0 | 0.02816 | 0 | 0 | 0 | 0 | 0 | 0.087719 | 1 | 0.070175 | false | 0 | 0.070175 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ec6ee8435e7b21f5ea4fab4d3b576dbdb55a35f | 14,154 | py | Python | src/ride.py | yuanmingqi/RISE | 95577ac03c91937e5ddc22a8596270ad3e9d5e49 | [
"MIT"
] | null | null | null | src/ride.py | yuanmingqi/RISE | 95577ac03c91937e5ddc22a8596270ad3e9d5e49 | [
"MIT"
] | null | null | null | src/ride.py | yuanmingqi/RISE | 95577ac03c91937e5ddc22a8596270ad3e9d5e49 | [
"MIT"
] | null | null | null | import torch
from torch import nn, optim
from torch.nn import functional as F
from torch.utils import data
import os
import time
from collections import deque
import numpy as np
import torch
from a2c_ppo_acktr import algo
from a2c_ppo_acktr import utils
from a2c_ppo_acktr.envs import make_vec_envs
from a2c_ppo_acktr... | 37.84492 | 145 | 0.608026 | 1,814 | 14,154 | 4.483462 | 0.162624 | 0.015492 | 0.012787 | 0.017214 | 0.344399 | 0.29325 | 0.249354 | 0.213697 | 0.202877 | 0.189352 | 0 | 0.02109 | 0.273068 | 14,154 | 374 | 146 | 37.84492 | 0.769365 | 0.046701 | 0 | 0.231579 | 0 | 0.003509 | 0.038945 | 0 | 0 | 0 | 0 | 0.002674 | 0 | 1 | 0.059649 | false | 0.003509 | 0.049123 | 0 | 0.161404 | 0.003509 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ec73c33d161f5986058bec7dbdd80972b054c47 | 957 | py | Python | contents/monte_carlo_integration/code/python/monte_carlo.py | hybrideagle/algorithm-archive | f94e22021dce5bda08b74dbc42d19da0b530e068 | [
"MIT"
] | null | null | null | contents/monte_carlo_integration/code/python/monte_carlo.py | hybrideagle/algorithm-archive | f94e22021dce5bda08b74dbc42d19da0b530e068 | [
"MIT"
] | null | null | null | contents/monte_carlo_integration/code/python/monte_carlo.py | hybrideagle/algorithm-archive | f94e22021dce5bda08b74dbc42d19da0b530e068 | [
"MIT"
] | null | null | null | # submitted by hybrideagle
from random import random
from math import pi
def in_circle(x_pos, y_pos):
radius = 1
# Compute euclidian distance from origin
return (x_pos * x_pos + y_pos * y_pos) < (radius * radius)
def monte_carlo(n):
"""
Computes PI using the monte carlo method using `n` points
... | 25.864865 | 74 | 0.61442 | 150 | 957 | 3.76 | 0.493333 | 0.021277 | 0.037234 | 0.028369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031977 | 0.281087 | 957 | 36 | 75 | 26.583333 | 0.787791 | 0.410658 | 0 | 0 | 0 | 0 | 0.064695 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.294118 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ec8250d4bb968d047bd4b22e1b37d8786d787f0 | 4,703 | py | Python | crawler/crawlerhelpers/efa_beta.py | jenerous/vvs-delay | cb02813552422392b88fe64dd57a880e1a726025 | [
"MIT"
] | null | null | null | crawler/crawlerhelpers/efa_beta.py | jenerous/vvs-delay | cb02813552422392b88fe64dd57a880e1a726025 | [
"MIT"
] | null | null | null | crawler/crawlerhelpers/efa_beta.py | jenerous/vvs-delay | cb02813552422392b88fe64dd57a880e1a726025 | [
"MIT"
] | null | null | null | from time import strftime
class API_efaBeta(object):
def __init__( self ):
self.name = 'efaBeta'
self.baseurl = 'https://www3.vvs.de/mngvvs/XML_DM_REQUEST'
def convert_station_id( self, station_id ):
"""
convert station id that is given to the api specific
repre... | 41.991071 | 107 | 0.512439 | 447 | 4,703 | 5.232662 | 0.346756 | 0.050876 | 0.030782 | 0.02779 | 0.054724 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010166 | 0.372528 | 4,703 | 111 | 108 | 42.369369 | 0.782447 | 0.182862 | 0 | 0.043478 | 0 | 0 | 0.212896 | 0.018344 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0.014493 | 0 | 0.130435 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ecae2e0cdf0ce7ac01b4920249b41f67edaa21f | 1,075 | py | Python | 2019/d22/d22.py | pravin/advent-2016 | ecb0f72b9152c13e9c05d3ed2510bf7b8aa0907c | [
"Apache-2.0"
] | null | null | null | 2019/d22/d22.py | pravin/advent-2016 | ecb0f72b9152c13e9c05d3ed2510bf7b8aa0907c | [
"Apache-2.0"
] | null | null | null | 2019/d22/d22.py | pravin/advent-2016 | ecb0f72b9152c13e9c05d3ed2510bf7b8aa0907c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
class Day22:
deck = list(range(0, 10007))
def dealIntoNewStack(self):
self.deck = self.deck[::-1]
def cutNCards(self, n):
self.deck = self.deck[n:] + self.deck[:n]
def incrementN(self, n):
deck_copy = [None] * len(self.deck)
pointer = 0
... | 28.289474 | 54 | 0.476279 | 125 | 1,075 | 3.992 | 0.4 | 0.144289 | 0.048096 | 0.064128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036309 | 0.385116 | 1,075 | 37 | 55 | 29.054054 | 0.718608 | 0.019535 | 0 | 0 | 0 | 0 | 0.026591 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0 | 0 | 0.2 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
1ed18e3a5bc3e56a30a5c177a3d61fd5dbe77a14 | 3,373 | py | Python | scripts/utils/MatlabUtils.py | Vants/stampsreplacer | a61d5174e1ee1d840a327ce6ec059a3a9f84a13b | [
"MIT"
] | 18 | 2019-02-04T11:22:25.000Z | 2022-02-15T10:02:14.000Z | scripts/utils/MatlabUtils.py | Vants/stampsreplacer | a61d5174e1ee1d840a327ce6ec059a3a9f84a13b | [
"MIT"
] | 1 | 2019-02-12T11:19:41.000Z | 2019-06-01T14:46:48.000Z | scripts/utils/MatlabUtils.py | Vants/stampsreplacer | a61d5174e1ee1d840a327ce6ec059a3a9f84a13b | [
"MIT"
] | 5 | 2019-11-27T16:22:12.000Z | 2021-04-14T11:10:44.000Z | import scipy.interpolate
import scipy.signal
from builtins import staticmethod
import numpy as np
from scripts.utils.ArrayUtils import ArrayUtils
class MatlabUtils:
@staticmethod
def max(array: np.ndarray):
if len(array) > 1:
return np.amax(array, axis=0)
else:
return... | 33.068627 | 140 | 0.631782 | 460 | 3,373 | 4.567391 | 0.365217 | 0.051404 | 0.026654 | 0.057116 | 0.121847 | 0.099952 | 0.057116 | 0.031414 | 0.031414 | 0 | 0 | 0.031715 | 0.242811 | 3,373 | 101 | 141 | 33.39604 | 0.790916 | 0.27394 | 0 | 0.245902 | 0 | 0 | 0.003843 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.163934 | false | 0 | 0.081967 | 0 | 0.47541 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |