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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
42b27e1114addb6efa22983ea1b8536333e5b90e | 3,096 | py | Python | datar/forcats/misc.py | stjordanis/datar | 4e2b5db026ad35918954576badef9951928c0cb1 | [
"MIT"
] | 110 | 2021-03-09T04:10:40.000Z | 2022-03-13T10:28:20.000Z | datar/forcats/misc.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 54 | 2021-06-20T18:53:44.000Z | 2022-03-29T22:13:07.000Z | datar/forcats/misc.py | sthagen/datar | 1218a549e2f0547c7b5a824ca6d9adf1bf96ba46 | [
"MIT"
] | 11 | 2021-06-18T03:03:14.000Z | 2022-02-25T11:48:26.000Z | """Provides other helper functions for factors"""
from typing import Any, Iterable
import numpy
from pandas import Categorical, DataFrame
from pipda import register_verb
from pipda.utils import CallingEnvs
from ..core.types import ForcatsRegType, ForcatsType, is_null, is_scalar
from ..core.utils import Array
from ..co... | 25.377049 | 78 | 0.622739 | 393 | 3,096 | 4.687023 | 0.300254 | 0.065147 | 0.136808 | 0.152009 | 0.295874 | 0.259501 | 0.238871 | 0.211726 | 0.157438 | 0.061889 | 0 | 0.0036 | 0.2823 | 3,096 | 121 | 79 | 25.586777 | 0.825383 | 0.194121 | 0 | 0.175676 | 0 | 0 | 0.018821 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.175676 | 0 | 0.256757 | 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 |
42b603082633608e2a31d1e0d368cdcfc8b30d98 | 6,585 | py | Python | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-06-27T11:26:29.000Z | 2019-06-27T11:26:29.000Z | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | qucumber/utils/training_statistics.py | silky/QuCumber | f0dd8725b8dd3a0c94f10f1a3b88a769c63a567f | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2018 PIQuIL - All Rights Reserved
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache Licens... | 39.431138 | 88 | 0.603037 | 909 | 6,585 | 4.244224 | 0.213421 | 0.050804 | 0.034215 | 0.039658 | 0.450233 | 0.399171 | 0.361586 | 0.333593 | 0.289787 | 0.289787 | 0 | 0.011578 | 0.291724 | 6,585 | 166 | 89 | 39.668675 | 0.815609 | 0.3918 | 0 | 0.184783 | 0 | 0 | 0.000525 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032609 | false | 0 | 0.032609 | 0 | 0.097826 | 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 |
42b7e07ad45d9d0be2cad9161c36276cb3b1762f | 1,433 | py | Python | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | 14.py | niharikasingh/aoc2018 | 21d430d393321e6066eca22d7c6b49e5eb42d756 | [
"MIT"
] | null | null | null | import copy
def next10(i):
# start condition
board = [3, 7]
elves = [0, 1]
found = False
# while (len(board) < i + 10):
while (not found):
to_add = board[elves[0]] + board[elves[1]]
if (to_add < 10):
board.append(to_add)
if (board[-1*len(i):] == i):
... | 31.844444 | 66 | 0.491975 | 244 | 1,433 | 2.848361 | 0.159836 | 0.046043 | 0.077698 | 0.086331 | 0.2 | 0.133813 | 0.116547 | 0.089209 | 0.089209 | 0.089209 | 0 | 0.142582 | 0.275646 | 1,433 | 44 | 67 | 32.568182 | 0.526975 | 0.316818 | 0 | 0.148148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148148 | 1 | 0.037037 | false | 0 | 0.037037 | 0 | 0.111111 | 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 |
42b83fe05de3f7690454c9ae7844d6d5c0896fb0 | 892 | py | Python | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | rpc inv matriz/ServerRPC.py | Aldair47x/DISTRIBUIDOS-UTP | 182f143b3a5d73744f78eb4fe1428cbca22387c2 | [
"MIT"
] | null | null | null | import xmlrpclib
from SimpleXMLRPCServer import SimpleXMLRPCServer
from SimpleXMLRPCServer import SimpleXMLRPCRequestHandler
import numpy as np
from io import StringIO
from numpy.linalg import inv
from scipy.linalg import *
# Restrict to a particular path.
class RequestHandler(SimpleXMLRPCRequestHandler):
... | 27.030303 | 59 | 0.734305 | 96 | 892 | 6.770833 | 0.604167 | 0.067692 | 0.086154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012228 | 0.174888 | 892 | 33 | 60 | 27.030303 | 0.870924 | 0.079596 | 0 | 0 | 0 | 0 | 0.06743 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.291667 | 0 | 0.458333 | 0.041667 | 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 |
42ba676a4b1855f63fba242958ff64fc7b10d468 | 1,524 | py | Python | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | damq/api/management/commands/check_settings.py | zhanghui9700/clouddam | 18c7c7578fb727bcab50737b51b8fb5c09070b48 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding=utf-8
from smtplib import SMTPException
from django.conf import settings
from django.core.management import BaseCommand
from django.core.mail import send_mail
class Command(BaseCommand):
def _log(self, tag, result):
label = self.style.ERROR("XXX")
if result:
... | 30.48 | 84 | 0.57874 | 177 | 1,524 | 4.847458 | 0.429379 | 0.041958 | 0.052448 | 0.04662 | 0.216783 | 0.174825 | 0.174825 | 0 | 0 | 0 | 0 | 0.005479 | 0.281496 | 1,524 | 49 | 85 | 31.102041 | 0.778082 | 0.021654 | 0 | 0.111111 | 0 | 0 | 0.176629 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.138889 | 0 | 0.305556 | 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 |
42ba9ea7e400e5ef293ccdc589dfbbce586a2405 | 4,113 | py | Python | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 358 | 2016-02-24T01:36:55.000Z | 2022-02-20T00:10:22.000Z | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 5 | 2016-02-24T22:50:25.000Z | 2017-01-30T07:58:00.000Z | sidomo/sidomo.py | noajshu/sdpm | b70825d9017eb0c2c6b6389345cccbcbd52cf669 | [
"Unlicense"
] | 27 | 2016-02-24T13:40:22.000Z | 2021-06-30T12:04:41.000Z | """Manages the lifecycle of a docker container.
Use via the with statement:
with Container(some_image) as c:
for line in c.run("some_command"):
print line
"""
import docker
import click, os
# sets the docker host from your environment variables
client = docker.Client(
**docker.utils.kwargs_from_env(a... | 33.713115 | 125 | 0.623389 | 529 | 4,113 | 4.765595 | 0.344045 | 0.025783 | 0.02975 | 0.007933 | 0.0238 | 0.0238 | 0.0238 | 0.0238 | 0 | 0 | 0 | 0.006219 | 0.257233 | 4,113 | 121 | 126 | 33.991736 | 0.818985 | 0.242645 | 0 | 0.070423 | 0 | 0 | 0.111516 | 0 | 0 | 0 | 0 | 0 | 0.028169 | 1 | 0.070423 | false | 0 | 0.028169 | 0 | 0.126761 | 0.028169 | 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 |
42bb4531b3deb62a4952ce2f40bb5fa396ce9810 | 4,321 | py | Python | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | scripts/utils/prepare_data.py | Harshs27/mGLAD | f85d5a7cb2091a4528c762dc550d8c9b35d190b1 | [
"MIT"
] | null | null | null | import networkx as nx
import numpy as np
from sklearn import covariance
import torch
def convertToTorch(data, req_grad=False, use_cuda=False):
"""Convert data from numpy to torch variable, if the req_grad
flag is on then the gradient calculation is turned on.
"""
if not torch.is_tensor(data):
d... | 33.757813 | 78 | 0.649618 | 611 | 4,321 | 4.479542 | 0.288052 | 0.037998 | 0.013153 | 0.02046 | 0.162221 | 0.135185 | 0.111071 | 0.111071 | 0.056997 | 0.028498 | 0 | 0.005919 | 0.257116 | 4,321 | 128 | 79 | 33.757813 | 0.846729 | 0.449664 | 0 | 0.081967 | 0 | 0 | 0.0191 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081967 | false | 0 | 0.065574 | 0 | 0.229508 | 0.016393 | 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 |
42bc62f46cb6d0412a2527cc37f497de098a673f | 1,475 | py | Python | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | 1 | 2020-08-28T20:29:23.000Z | 2020-08-28T20:29:23.000Z | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | null | null | null | Exercicios/multplica_matriz.py | eduardodarocha/Introducao_Ciencia_da_Computacao_com_Python_Parte_2_Coursera | b5b9198e16b4b67894b85766eb521ae96010accf | [
"MIT"
] | null | null | null | def multiplica_matrizes(m1, m2):
'''Minha solução para multiplicação de matrizes'''
matriz = []
cont = 0
b1 = 0
for t in range(len(m1)): # números de linhas mat1
linhanova = []
for t1 in range(len(m2[0])): #números de colunas mat2
while cont < len(m2):
#a1... | 28.921569 | 70 | 0.492203 | 222 | 1,475 | 3.171171 | 0.265766 | 0.049716 | 0.046875 | 0.025568 | 0.071023 | 0.071023 | 0.028409 | 0 | 0 | 0 | 0 | 0.091 | 0.322034 | 1,475 | 51 | 71 | 28.921569 | 0.613 | 0.288136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.068966 | false | 0 | 0 | 0 | 0.137931 | 0.034483 | 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 |
42c012688f03cf2033f2ea77e4e8d937fb973de4 | 996 | py | Python | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 16 | 2018-01-17T06:03:23.000Z | 2021-11-08T18:54:20.000Z | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 36 | 2018-03-16T15:17:58.000Z | 2022-03-18T17:54:49.000Z | bifacialvf/tests/test_vf.py | shirubana/bifacialvf | 7cd1c4c658bb7a68f0815b2bd1a6d5c492ca7300 | [
"BSD-3-Clause"
] | 15 | 2018-01-11T09:11:13.000Z | 2022-03-21T11:37:42.000Z | """
Tests of the view factors module
"""
import pytest
import numpy as np
from bifacialvf.vf import getSkyConfigurationFactors
from bifacialvf.tests import (
SKY_BETA160_C05_D1, SKY_BETA20_C05_D1, SKY_BETA20_C0_D1, SKY_BETA160_C0_D1,
SKY_BETA160_C1_D1, SKY_BETA20_C1_D1, SKY_BETA20_C1_D0, SKY_BETA160_C1_D0,
... | 39.84 | 79 | 0.715863 | 170 | 996 | 3.835294 | 0.288235 | 0.153374 | 0.079755 | 0.064417 | 0.042945 | 0 | 0 | 0 | 0 | 0 | 0 | 0.191847 | 0.162651 | 996 | 24 | 80 | 41.5 | 0.589928 | 0.09739 | 0 | 0 | 0 | 0 | 0.031963 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.0625 | false | 0 | 0.25 | 0 | 0.3125 | 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 |
42c0646e767e46f559cbd944cee5d0ed57e7deeb | 732 | py | Python | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | test_horovod.py | lu-wang-dl/test-horovod | 0b1699057fe03f84bbea46c3e63197a6c9e21c14 | [
"Apache-2.0"
] | null | null | null | # Databricks notebook source
import horovod.tensorflow.keras as hvd
def run_training_horovod():
# Horovod: initialize Horovod.
hvd.init()
import os
print(os.environ.get('PYTHONPATH'))
print(os.environ.get('PYTHONHOME'))
print(f"Rank is: {hvd.rank()}")
print(f"Size is: {hvd.size()}")
# COMM... | 24.4 | 89 | 0.715847 | 91 | 732 | 5.648352 | 0.494505 | 0.064202 | 0.105058 | 0.066148 | 0.51751 | 0.51751 | 0.51751 | 0.51751 | 0.51751 | 0.51751 | 0 | 0 | 0.132514 | 732 | 29 | 90 | 25.241379 | 0.809449 | 0.20765 | 0 | 0.285714 | 0 | 0 | 0.119089 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.357143 | 0.285714 | 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 |
42c3250899086a2d423b9d8448bed7aa2e3d35b4 | 1,832 | py | Python | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | 1 | 2022-03-05T04:20:46.000Z | 2022-03-05T04:20:46.000Z | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | null | null | null | datasets.py | Liuhongzhi2018/Car_detection | f32fea9c348c691ccc30b9804a4f3fa32732bbae | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Mar 12 10:11:09 2020
@author: NAT
"""
import torch
from torch.utils.data import Dataset
import json
import os
from PIL import Image
from utils import transform
class VOCDataset(Dataset):
def __init__(self, DataFolder, split):
"""
DataFol... | 33.309091 | 105 | 0.543668 | 203 | 1,832 | 4.79803 | 0.374384 | 0.055441 | 0.033881 | 0.030801 | 0.221766 | 0.158111 | 0.158111 | 0.158111 | 0 | 0 | 0 | 0.010879 | 0.347707 | 1,832 | 55 | 106 | 33.309091 | 0.804184 | 0.120633 | 0 | 0 | 0 | 0 | 0.068966 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.1 | false | 0 | 0.2 | 0.033333 | 0.4 | 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 |
42c34955df6c0e7aa377ac0cc57e813a5826e6fa | 7,564 | py | Python | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 17 | 2019-03-08T15:33:46.000Z | 2021-11-02T18:22:47.000Z | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 8 | 2018-12-23T21:17:36.000Z | 2019-12-10T13:52:13.000Z | roles/gitlab_runner/filter_plugins/from_toml.py | wikimedia/operations-gitlab-ansible | f6433674ff812ea6e07ee192ff6fd848ba252aaa | [
"MIT"
] | 12 | 2019-01-26T15:00:32.000Z | 2022-03-15T08:04:17.000Z | #!/usr/bin/python
DOCUMENTATION = '''
---
module: to_toml, from_toml
version_added: "2.8"
short_description: Converts Python data to TOML and TOML to Python data.
author:
- "Samy Coenen (contact@samycoenen.be)"
'''
import datetime
import sys
from collections import OrderedDict
#pip3 install python-toml
def to_to... | 22.714715 | 77 | 0.504098 | 1,003 | 7,564 | 3.633101 | 0.175474 | 0.032656 | 0.037047 | 0.027991 | 0.283205 | 0.227497 | 0.19786 | 0.127058 | 0.087267 | 0.087267 | 0 | 0.015513 | 0.335272 | 7,564 | 333 | 78 | 22.714715 | 0.709228 | 0.020888 | 0 | 0.229437 | 0 | 0.004329 | 0.079422 | 0.008259 | 0.008658 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0.021645 | 0.012987 | 0.030303 | 0.30303 | 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 |
42c37f3f064078bde91e95903b77950bc9bd114f | 414 | py | Python | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | ABC190/D.py | shimomura314/AtcoderCodes | db1d62a7715f5f1b3c40eceff8d34f0f34839f41 | [
"MIT"
] | null | null | null | def divisor(n: int):
divisors = []
for integer in range(1, int(n**0.5)+1):
if not n % integer:
divisors.append(integer)
divisors.append(n//integer)
divisors.sort()
return divisors
n = int(input())
divisors = divisor(2*n)
answer = 0
for integer in divisors:
pair = 2*... | 21.789474 | 43 | 0.562802 | 59 | 414 | 3.949153 | 0.389831 | 0.103004 | 0.103004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044983 | 0.301932 | 414 | 19 | 44 | 21.789474 | 0.761246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0 | 0 | 0.117647 | 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 |
42c55d5c799cf1af35cb63cb32b363a33a23a6ae | 862 | py | Python | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | TV/models/episode.py | viswas163/Parse-bot | 881df2767cc5bdf88ff5dcc451a97c2ed96fc073 | [
"MIT"
] | null | null | null | from mongoengine import Document, IntField, StringField, FloatField, connect
from pymongo import UpdateOne
class Episode(Document):
title = StringField(required=True)
show = StringField(required=True)
rating = FloatField(required=True)
votes = IntField(required=True)
def bulk_upsert(episodes):
bu... | 29.724138 | 93 | 0.611369 | 85 | 862 | 6.082353 | 0.552941 | 0.092843 | 0.088975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.293503 | 862 | 29 | 93 | 29.724138 | 0.848933 | 0 | 0 | 0 | 0 | 0 | 0.019699 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0.041667 | 0.083333 | 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 |
42caa75d97d78a5da176444b0c283b314888e8e5 | 4,161 | py | Python | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | BasicReport.py | nikneural/Report | 414b08c157ef14345372fd5b84f134eb7c911fe4 | [
"MIT"
] | null | null | null | import subprocess
import docx.table
import pandas as pd
from docx import Document
from docx.enum.text import WD_PARAGRAPH_ALIGNMENT
from docx.oxml import OxmlElement
from docx.oxml import ns
from docx.oxml.ns import qn
from docx.shared import Inches, Pt
from docx.table import _Cell
from docx2pdf import convert
class... | 32.76378 | 77 | 0.59553 | 485 | 4,161 | 4.954639 | 0.286598 | 0.05618 | 0.014981 | 0.022472 | 0.177278 | 0.177278 | 0.151477 | 0.151477 | 0.114856 | 0.114856 | 0 | 0.007901 | 0.300409 | 4,161 | 126 | 78 | 33.02381 | 0.817588 | 0.048786 | 0 | 0.191919 | 0 | 0 | 0.043875 | 0 | 0 | 0 | 0 | 0 | 0.010101 | 1 | 0.121212 | false | 0.010101 | 0.111111 | 0.010101 | 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 |
42cd0e4c33a465776d2f55cc4beb83f4edfc71a6 | 4,568 | py | Python | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | main.py | meaug/indoor_air_quality_dht22_sgp30 | a746a9955903de1f7ce5e5d84493f860c1fd0b16 | [
"MIT"
] | null | null | null | from network import WLAN
import urequests as requests # from ubidots tutorial https://help.ubidots.com/en/articles/961994-connect-any-pycom-board-to-ubidots-using-wi-fi-over-http
from machine import I2C
import adafruit_sgp30 # from https://github.com/alexmrqt/micropython-sgp30
from machine import Pin
from dht import DH... | 31.722222 | 153 | 0.668345 | 630 | 4,568 | 4.749206 | 0.353968 | 0.008021 | 0.022727 | 0.012032 | 0.102273 | 0.086898 | 0.070856 | 0.03008 | 0.03008 | 0.03008 | 0 | 0.046512 | 0.218695 | 4,568 | 143 | 154 | 31.944056 | 0.791818 | 0.240587 | 0 | 0.212766 | 0 | 0 | 0.14846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0.031915 | 0.085106 | 0 | 0.138298 | 0.117021 | 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 |
42cd2ea8378c0d8edecc4b1ef21bb286fd030c27 | 5,278 | py | Python | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | null | null | null | drivers/get_imu_data.py | ndkjing/usv | 132e021432a0344a22914aaf68da7d7955d7331f | [
"MIT"
] | 1 | 2021-09-04T10:27:30.000Z | 2021-09-04T10:27:30.000Z | # coding:UTF-8
import queue
import serial
import time
import threading
ACCData = [0.0] * 8
GYROData = [0.0] * 8
AngleData = [0.0] * 8
FrameState = 0 # 通过0x后面的值判断属于哪一种情况
Bytenum = 0 # 读取到这一段的第几位
CheckSum = 0 # 求和校验位
a = [0.0] * 3
w = [0.0] * 3
Angle = [0.0] * 3
count=0
start_time = time.time()
interval=0.01
def ... | 26.656566 | 122 | 0.48939 | 669 | 5,278 | 3.718984 | 0.22571 | 0.016077 | 0.025322 | 0.019293 | 0.18127 | 0.116158 | 0.060289 | 0.060289 | 0.060289 | 0.043408 | 0 | 0.079708 | 0.403372 | 5,278 | 198 | 123 | 26.656566 | 0.710384 | 0.082228 | 0 | 0.220126 | 0 | 0 | 0.006901 | 0 | 0 | 0 | 0.005855 | 0 | 0 | 1 | 0.044025 | false | 0 | 0.025157 | 0 | 0.09434 | 0.018868 | 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 |
42cdb0ad159342fdea9a675f50b583e29f8c7d2a | 3,082 | py | Python | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | test/test_utils.py | dilettacal/nmt_seq2seq_evo | 1de7647fb50445d17aa0eab8f300fdcbe6b8145e | [
"MIT"
] | null | null | null | import os
import unittest
from torchtext.data import Field, Iterator
from project.utils.utils_metrics import AverageMeter
from project.utils.utils_logging import Logger
from project.utils.datasets import Seq2SeqDataset
data_dir = os.path.join(".", "test", "test_data")
class TestIOUtils(unittest.TestCase):
def ... | 36.690476 | 110 | 0.621999 | 390 | 3,082 | 4.797436 | 0.276923 | 0.044896 | 0.089792 | 0.037413 | 0.270978 | 0.270978 | 0.270978 | 0.235703 | 0.174773 | 0.174773 | 0 | 0.013605 | 0.236859 | 3,082 | 84 | 111 | 36.690476 | 0.781888 | 0 | 0 | 0.239437 | 0 | 0 | 0.060655 | 0 | 0 | 0 | 0 | 0 | 0.309859 | 1 | 0.070423 | false | 0 | 0.084507 | 0 | 0.169014 | 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 |
42d1f1c104a654530b6968dd6b6bff5cdf01c509 | 2,156 | py | Python | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 5 | 2021-09-07T13:33:45.000Z | 2022-02-12T18:56:45.000Z | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | null | null | null | networks/cifar_net.py | DQle38/Fair-Feature-Distillation-for-Visual-Recognition | f0f98728f36528218bf19dce9a26d6ee1ba96e58 | [
"MIT"
] | 4 | 2021-09-25T06:56:38.000Z | 2022-03-24T18:06:08.000Z | import torch
import torch.nn as nn
import numpy as np
class Net(nn.Module):
def __init__(self, num_classes=10):
super().__init__()
self.conv1 = nn.Conv2d(3, 32, kernel_size=3, padding=1)
s = compute_conv_output_size(32, 3, padding=1) # 32
self.conv2 = nn.Conv2d(32, 32, kernel_siz... | 35.933333 | 101 | 0.574212 | 333 | 2,156 | 3.582583 | 0.243243 | 0.080469 | 0.090528 | 0.123219 | 0.317687 | 0.264878 | 0.264878 | 0.264878 | 0.264878 | 0.264878 | 0 | 0.092978 | 0.286642 | 2,156 | 59 | 102 | 36.542373 | 0.682705 | 0.022263 | 0 | 0.204082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.061224 | 0.020408 | 0.22449 | 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 |
42d4aca626e7056c3cd312d444ec2606808efc07 | 1,207 | py | Python | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | solutions/python3/problem654.py | tjyiiuan/LeetCode | abd10944c6a1f7a7f36bd9b6218c511cf6c0f53e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
654. Maximum Binary Tree
Given an integer array with no duplicates. A maximum tree building on this array is defined as follow:
The root is the maximum number in the array.
The left subtree is the maximum tree constructed from left part subarray divided by the maximum number.
The right sub... | 30.948718 | 105 | 0.666114 | 173 | 1,207 | 4.554913 | 0.358382 | 0.076142 | 0.045685 | 0.048223 | 0.30203 | 0.30203 | 0.190355 | 0 | 0 | 0 | 0 | 0.009019 | 0.26512 | 1,207 | 38 | 106 | 31.763158 | 0.879369 | 0.43662 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0 | 0 | 0.315789 | 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 |
42d54535865b205f51d1935bf40792c7ce95c829 | 5,189 | py | Python | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 44 | 2015-11-18T07:45:11.000Z | 2022-03-30T06:32:18.000Z | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 110 | 2016-08-01T06:45:13.000Z | 2021-11-30T18:45:36.000Z | pparser.py | deadsurgeon42/StarryPy3k | 9291e5a7ca97004675a4868165ce5690c111c492 | [
"WTFPL"
] | 32 | 2015-01-31T09:54:38.000Z | 2022-03-31T06:12:21.000Z | import asyncio
import traceback
from configuration_manager import ConfigurationManager
from data_parser import *
parse_map = {
0: ProtocolRequest,
1: ProtocolResponse,
2: ServerDisconnect,
3: ConnectSuccess,
4: ConnectFailure,
5: HandshakeChallenge,
6: ChatReceived,
7: None,
8: Non... | 27.167539 | 79 | 0.578724 | 605 | 5,189 | 4.86281 | 0.401653 | 0.040789 | 0.025833 | 0.024473 | 0.141061 | 0.103671 | 0.092794 | 0.068321 | 0.068321 | 0.068321 | 0 | 0.037607 | 0.323569 | 5,189 | 190 | 80 | 27.310526 | 0.80057 | 0.262478 | 0 | 0.09375 | 0 | 0 | 0.038117 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054688 | false | 0 | 0.03125 | 0 | 0.132813 | 0.015625 | 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 |
42d72c0c58e56c65e8f873c5b25c452eaaf9e7cc | 3,032 | py | Python | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | deploy/testData.py | yaoguxiao/insightface | 731f9ec7503cda3a5f3433525aa57709a78b2118 | [
"MIT"
] | null | null | null | import sys
import os
import mxnet as mx
import argparse
sys.path.append(os.path.join(os.getcwd(), "../src/common"))
sys.path.append(os.path.join(os.getcwd(), "../src/eval"))
import verification
def argParser():
parser = argparse.ArgumentParser(description='test network')
parser.add_argument('--model', default=... | 41.534247 | 125 | 0.632256 | 407 | 3,032 | 4.594595 | 0.29484 | 0.041176 | 0.054545 | 0.032086 | 0.405882 | 0.374332 | 0.261497 | 0.261497 | 0.261497 | 0.225134 | 0 | 0.029786 | 0.169525 | 3,032 | 73 | 126 | 41.534247 | 0.712867 | 0.240765 | 0 | 0.058824 | 0 | 0 | 0.189934 | 0.054705 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.098039 | 0 | 0.235294 | 0.196078 | 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 |
42dc77f7900d79cb250ea17552132e0f738917bd | 4,482 | py | Python | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | 1 | 2022-01-19T01:40:04.000Z | 2022-01-19T01:40:04.000Z | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | null | null | null | test/test_plugin_spontit.py | NiNiyas/apprise | 8d96e95acd7cb89f082685ae161bd0e268203f0c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2021 Chris Caron <lead2gold@gmail.com>
# All rights reserved.
#
# This code is licensed under the MIT License.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files(the "Software"), to deal
# in th... | 37.663866 | 79 | 0.629407 | 573 | 4,482 | 4.891798 | 0.366492 | 0.012843 | 0.015697 | 0.027471 | 0.281127 | 0.236889 | 0.236889 | 0.211916 | 0.197289 | 0.171602 | 0 | 0.025865 | 0.232262 | 4,482 | 118 | 80 | 37.983051 | 0.788724 | 0.499554 | 0 | 0.6 | 0 | 0 | 0.258494 | 0.109275 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016667 | false | 0 | 0.066667 | 0 | 0.083333 | 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 |
42dc9cb1aa466dc4d81d1303416d9c0741104c68 | 2,751 | py | Python | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | img_striper.py | tacensi/image_striper | d361c5c4b7e9b8588b50d8f992b90d14fd64d4f0 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
import argparse
import textwrap
import math
from PIL import Image
parser = argparse.ArgumentParser(
prog='img_striper.py',
formatter_class=argparse.RawDescriptionHelpFormatter,
description=textwrap.dedent('''\
Image striper
This is a simple program to make stripes ... | 25.472222 | 67 | 0.607779 | 400 | 2,751 | 4.045 | 0.34 | 0.038937 | 0.044499 | 0.033375 | 0.290482 | 0.226205 | 0.179234 | 0.179234 | 0.179234 | 0.179234 | 0 | 0.035696 | 0.287168 | 2,751 | 107 | 68 | 25.71028 | 0.789393 | 0.14104 | 0 | 0.085714 | 0 | 0 | 0.212857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.057143 | 0 | 0.057143 | 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 |
42dcb97d77131e74ecfe71c62c27b3b22cca853a | 7,590 | py | Python | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | null | null | null | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | 1 | 2019-05-03T07:54:57.000Z | 2019-05-03T07:54:57.000Z | ds/web/views.py | brainmorsel/python-dhcp-sprout | c8da1b19558e404fdfef24304e1996c696fc13b1 | [
"MIT"
] | null | null | null | import datetime
from aiohttp import web
from aiohttp_jinja2 import template
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql as pg
import psycopg2
from ds import db
from . import forms
@template('index.jinja2')
async def index(request):
return {}
@template('profile_list.jinja2')
async def pr... | 35.633803 | 113 | 0.548221 | 941 | 7,590 | 4.274176 | 0.134963 | 0.046992 | 0.06365 | 0.024615 | 0.673794 | 0.606663 | 0.564147 | 0.490055 | 0.453257 | 0.453257 | 0 | 0.004625 | 0.316337 | 7,590 | 212 | 114 | 35.801887 | 0.770476 | 0 | 0 | 0.516304 | 0 | 0 | 0.067852 | 0.004743 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005435 | false | 0 | 0.043478 | 0.005435 | 0.130435 | 0.005435 | 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 |
42e0044ddc8db8684b032fa92b309e589628c115 | 6,123 | py | Python | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | 1 | 2021-02-19T01:45:49.000Z | 2021-02-19T01:45:49.000Z | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | null | null | null | etsyapi/__init__.py | DempDemp/etsyapi | 995250d2f76dcac7edf3b2404bfbce1df732765e | [
"BSD-3-Clause"
] | 2 | 2016-04-10T21:28:05.000Z | 2019-09-20T19:51:37.000Z | import six
import json
import logging
import requests
from requests_oauthlib import OAuth1
if six.PY3:
from urllib.parse import parse_qs
from urllib.parse import urlencode
else:
from urlparse import parse_qs
from urllib import urlencode
log = logging.getLogger(__name__)
class EtsyError(Exception):
... | 36.230769 | 112 | 0.594806 | 721 | 6,123 | 4.882108 | 0.260749 | 0.068182 | 0.054545 | 0.020455 | 0.252841 | 0.182955 | 0.144318 | 0.130682 | 0.107386 | 0.107386 | 0 | 0.006828 | 0.306386 | 6,123 | 168 | 113 | 36.446429 | 0.821992 | 0.194349 | 0 | 0.160377 | 0 | 0 | 0.090812 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09434 | false | 0 | 0.084906 | 0.009434 | 0.283019 | 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 |
42e109eb76a25424069247c9b529582b0044ded2 | 2,996 | py | Python | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | 2 | 2021-10-05T10:04:56.000Z | 2021-10-13T18:31:35.000Z | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | 14 | 2021-09-01T12:30:59.000Z | 2022-02-14T18:53:44.000Z | SatTrack/tle.py | ed-ortizm/satellite-tracking | 9eb2b4a7f31b43035a425d8e2e51044f2e80712d | [
"MIT"
] | null | null | null | import datetime
import os
import re
import sys
import urllib
from SatTrack.superclasses import FileDirectory
###############################################################################
# CONSTANTS
TLE_URL = f"https://celestrak.com/NORAD/elements/supplemental"
######################################################... | 32.215054 | 79 | 0.496996 | 302 | 2,996 | 4.754967 | 0.354305 | 0.048747 | 0.062674 | 0.016713 | 0.132312 | 0.0961 | 0.068245 | 0.068245 | 0.068245 | 0 | 0 | 0.015351 | 0.238985 | 2,996 | 92 | 80 | 32.565217 | 0.614474 | 0.261015 | 0 | 0 | 0 | 0 | 0.163599 | 0.103613 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.181818 | 0 | 0.424242 | 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 |
42e13e620ce8965d49cd0e6e2ae37165c0735674 | 21,970 | py | Python | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 13 | 2021-09-21T11:07:33.000Z | 2022-03-25T08:46:46.000Z | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 2 | 2021-09-25T15:45:19.000Z | 2021-12-10T15:57:35.000Z | vinfo/dataset.py | john-hewitt/conditional-probing | bebc90aa0c910395e2370910409076a945279fe0 | [
"Apache-2.0"
] | 2 | 2021-09-27T01:21:49.000Z | 2021-09-28T06:08:19.000Z | import os
import h5py
import torch
import torch.nn as nn
from torch.utils.data import Dataset, IterableDataset, DataLoader
import Levenshtein as levenshtein
from tqdm import tqdm
from yaml import YAMLObject
from transformers import AutoTokenizer, AutoModel
from allennlp.modules.elmo import batch_to_ids
from utils im... | 40.238095 | 188 | 0.697679 | 2,940 | 21,970 | 4.962925 | 0.12483 | 0.014187 | 0.005757 | 0.006785 | 0.478514 | 0.395175 | 0.306833 | 0.275992 | 0.191968 | 0.161469 | 0 | 0.005634 | 0.200182 | 21,970 | 545 | 189 | 40.311927 | 0.824721 | 0.180337 | 0 | 0.213483 | 0 | 0 | 0.039842 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081461 | false | 0 | 0.030899 | 0.008427 | 0.219101 | 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 |
42e6a0854dc4ea36c5a33692e83aa3d38c0f49cc | 2,505 | py | Python | function/python/brightics/function/statistics/test/correlation_test.py | parkjh80/studio | 6d8d8384272e5e1b2838b12e5557272a19408e89 | [
"Apache-2.0"
] | 202 | 2018-10-23T04:37:35.000Z | 2022-01-27T05:51:10.000Z | function/python/brightics/function/statistics/test/correlation_test.py | data-weirdo/studio | 48852c4f097f773ce3d408b59f79fda2e2d60470 | [
"Apache-2.0"
] | 444 | 2018-11-07T08:41:14.000Z | 2022-03-16T06:48:57.000Z | function/python/brightics/function/statistics/test/correlation_test.py | data-weirdo/studio | 48852c4f097f773ce3d408b59f79fda2e2d60470 | [
"Apache-2.0"
] | 99 | 2018-11-08T04:12:13.000Z | 2022-03-30T05:36:27.000Z | """
Copyright 2019 Samsung SDS
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 ... | 41.065574 | 155 | 0.683433 | 332 | 2,505 | 5.012048 | 0.427711 | 0.054087 | 0.090144 | 0.100962 | 0.280048 | 0.280048 | 0.195913 | 0.076923 | 0 | 0 | 0 | 0.102615 | 0.190818 | 2,505 | 60 | 156 | 41.75 | 0.718303 | 0.229142 | 0 | 0 | 0 | 0 | 0.122995 | 0.015508 | 0 | 0 | 0 | 0 | 0.3125 | 1 | 0.125 | false | 0 | 0.1875 | 0 | 0.34375 | 0.0625 | 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 |
42e77bb6f8a615aa18b12b83385ee014877a332f | 340 | py | Python | fdp/__init__.py | cffbots/fairdatapoint | 6142b31408b5746d1a7e9f59e61735b7ad8bfde9 | [
"Apache-2.0"
] | 9 | 2020-03-27T12:58:51.000Z | 2021-01-21T16:22:46.000Z | fdp/__init__.py | MaastrichtU-IDS/fairdatapoint | f9f38903a629acbdb74a6a20014ac424cc3d3206 | [
"Apache-2.0"
] | 26 | 2016-05-26T22:22:34.000Z | 2020-02-13T07:12:37.000Z | fdp/__init__.py | MaastrichtU-IDS/fairdatapoint | f9f38903a629acbdb74a6a20014ac424cc3d3206 | [
"Apache-2.0"
] | 4 | 2020-06-09T18:37:33.000Z | 2020-12-16T08:05:01.000Z | # -*- coding: utf-8 -*-
import logging
from .__version__ import __version__
logging.getLogger(__name__).addHandler(logging.NullHandler())
__author__ = "Rajaram Kaliyaperumal, Arnold Kuzniar, Cunliang Geng, Carlos Martinez-Ortiz"
__email__ = 'c.martinez@esciencecenter.nl'
__status__ = 'beta'
__license__ = 'Apache Li... | 26.153846 | 90 | 0.770588 | 38 | 340 | 6.157895 | 0.815789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009934 | 0.111765 | 340 | 12 | 91 | 28.333333 | 0.764901 | 0.061765 | 0 | 0 | 0 | 0 | 0.422713 | 0.088328 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 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 |
42e8e15830841aa965ec225fd7e1715fe1c14fdd | 60,795 | py | Python | fluids/flow_meter.py | rddaz2013/fluids | acde6a6edc2110c152c59341574739b24a2f1bad | [
"MIT"
] | null | null | null | fluids/flow_meter.py | rddaz2013/fluids | acde6a6edc2110c152c59341574739b24a2f1bad | [
"MIT"
] | null | null | null | fluids/flow_meter.py | rddaz2013/fluids | acde6a6edc2110c152c59341574739b24a2f1bad | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2018 Caleb Bell <Caleb.Andrew.Bell@gmail.com>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
... | 35.407688 | 108 | 0.607385 | 8,839 | 60,795 | 4.097409 | 0.115058 | 0.016153 | 0.014413 | 0.017616 | 0.660104 | 0.61946 | 0.588425 | 0.569429 | 0.547036 | 0.533313 | 0 | 0.092302 | 0.278625 | 60,795 | 1,716 | 109 | 35.428322 | 0.733514 | 0.653952 | 0 | 0.314516 | 0 | 0 | 0.069344 | 0.029807 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.018817 | 0 | 0.188172 | 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 |
42eb0db02ed2cdde4c36688526176ef0796f32f2 | 1,370 | py | Python | git_plan/cli/commands/delete.py | synek/git-plan | 4cf5429348a71fb5ea8110272fb89d20bfa38c38 | [
"MIT"
] | 163 | 2021-03-06T12:01:06.000Z | 2022-03-01T22:52:36.000Z | git_plan/cli/commands/delete.py | synek/git-plan | 4cf5429348a71fb5ea8110272fb89d20bfa38c38 | [
"MIT"
] | 61 | 2021-03-06T07:00:39.000Z | 2021-04-13T10:25:58.000Z | git_plan/cli/commands/delete.py | synek/git-plan | 4cf5429348a71fb5ea8110272fb89d20bfa38c38 | [
"MIT"
] | 9 | 2021-03-07T17:52:57.000Z | 2021-10-18T21:35:23.000Z | """Delete command
Author: Rory Byrne <rory@rory.bio>
"""
from typing import Any
from git_plan.cli.commands.command import Command
from git_plan.service.plan import PlanService
from git_plan.util.decorators import requires_initialized, requires_git_repository
@requires_initialized
@requires_git_repository
class Dele... | 31.136364 | 92 | 0.687591 | 173 | 1,370 | 5.196532 | 0.404624 | 0.097887 | 0.066741 | 0.066741 | 0.088988 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.210219 | 1,370 | 43 | 93 | 31.860465 | 0.830869 | 0.070073 | 0 | 0.074074 | 0 | 0 | 0.158313 | 0.027049 | 0 | 0 | 0 | 0 | 0.037037 | 1 | 0.111111 | false | 0 | 0.148148 | 0 | 0.407407 | 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 |
42ef38196b7af8975b40694b6eb1954f2a48845e | 1,926 | py | Python | vision_module.py | seongdong2/GRADUATION | c38b13a2dd82a58bdba7673916408daa0d9b471e | [
"Unlicense"
] | 2 | 2021-09-19T13:52:05.000Z | 2021-10-04T01:09:21.000Z | vision_module.py | seongdong2/graduation | c38b13a2dd82a58bdba7673916408daa0d9b471e | [
"Unlicense"
] | 1 | 2021-10-14T06:19:44.000Z | 2021-10-14T06:19:44.000Z | vision_module.py | seongdong2/graduation | c38b13a2dd82a58bdba7673916408daa0d9b471e | [
"Unlicense"
] | null | null | null | import numpy as np
import cv2
CLASSES = ["background", "aeroplane", "bicycle", "bird", "boat",
"bottle", "bus", "car", "cat", "chair", "cow", "diningtable",
"dog", "horse", "motorbike", "person", "pottedplant", "sheep",
"sofa", "train", "tvmonitor"]
net = cv2.dnn.readNetFromCaffe(
... | 30.571429 | 106 | 0.555556 | 261 | 1,926 | 3.961686 | 0.413793 | 0.01354 | 0.011605 | 0.015474 | 0.073501 | 0.038685 | 0 | 0 | 0 | 0 | 0 | 0.038771 | 0.290239 | 1,926 | 63 | 107 | 30.571429 | 0.71763 | 0 | 0 | 0 | 0 | 0 | 0.101713 | 0.032174 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.045455 | 0 | 0.159091 | 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 |
42efd3e55b344db382180d65f36b45d066baab96 | 618 | py | Python | riccipy/metrics/lewis_papapetrou.py | cjayross/riccipy | 2cc0ca5e1aa4af91b203b3ff2bb1effd7d2f4846 | [
"MIT"
] | 4 | 2019-08-17T04:28:06.000Z | 2021-01-02T15:19:18.000Z | riccipy/metrics/lewis_papapetrou.py | grdbii/riccipy | 2cc0ca5e1aa4af91b203b3ff2bb1effd7d2f4846 | [
"MIT"
] | 3 | 2019-08-02T04:07:43.000Z | 2020-06-18T07:49:38.000Z | riccipy/metrics/lewis_papapetrou.py | grdbii/riccipy | 2cc0ca5e1aa4af91b203b3ff2bb1effd7d2f4846 | [
"MIT"
] | null | null | null | """
Name: Lewis Papapetrou
References: Ernst, Phys. Rev., v167, p1175, (1968)
Coordinates: Cartesian
"""
from sympy import Function, Rational, exp, symbols, zeros
coords = symbols("t x y z", real=True)
variables = ()
functions = symbols("k r s w", cls=Function)
t, x, y, z = coords
k, r, s, w = functions
metric = zeros... | 30.9 | 77 | 0.553398 | 121 | 618 | 2.826446 | 0.330579 | 0.087719 | 0.061404 | 0.070175 | 0.181287 | 0.181287 | 0.105263 | 0.105263 | 0.105263 | 0.105263 | 0 | 0.060852 | 0.202265 | 618 | 19 | 78 | 32.526316 | 0.63286 | 0.15534 | 0 | 0 | 0 | 0 | 0.027237 | 0 | 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 |
42f8e8791025cfd39e8878d6744a088d9902c8a3 | 1,206 | py | Python | test/variable_type.py | bourne7/demo-python | 0c4dd12475bcada4e5826b7117bd4c4bdcedfd9f | [
"MIT"
] | null | null | null | test/variable_type.py | bourne7/demo-python | 0c4dd12475bcada4e5826b7117bd4c4bdcedfd9f | [
"MIT"
] | null | null | null | test/variable_type.py | bourne7/demo-python | 0c4dd12475bcada4e5826b7117bd4c4bdcedfd9f | [
"MIT"
] | null | null | null | def do_loop():
print('Being Invoked.')
# * 表示参数为 元组
def fun1(*args): # 相当于 def fun1(1,2,3) ==> args 就相当于(1,2,3)
for a in args:
print(a)
# ** 表示参数为 字典
def fun2(**args): # 相当于 def fun2({a:1,b:2,c:3}) ==>args 就相当于{a:1,b:2,c:3}
for k, v in args:
print(k, ":", v)
# Python3 的六个标准数据类型
def... | 19.451613 | 74 | 0.543118 | 195 | 1,206 | 3.230769 | 0.405128 | 0.066667 | 0.02381 | 0.012698 | 0.07619 | 0.019048 | 0 | 0 | 0 | 0 | 0 | 0.07545 | 0.263682 | 1,206 | 61 | 75 | 19.770492 | 0.634009 | 0.20398 | 0 | 0.057143 | 0 | 0 | 0.127637 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.142857 | 0.4 | 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 |
42f979541235624972aa7beb6b4040036e613c33 | 951 | py | Python | scrapystsytem/spiders/doubanmoviespider.py | mezhou887/ScrapySystem2017 | 888ac42bba36b541845244596db1644e332bf291 | [
"Apache-2.0"
] | null | null | null | scrapystsytem/spiders/doubanmoviespider.py | mezhou887/ScrapySystem2017 | 888ac42bba36b541845244596db1644e332bf291 | [
"Apache-2.0"
] | null | null | null | scrapystsytem/spiders/doubanmoviespider.py | mezhou887/ScrapySystem2017 | 888ac42bba36b541845244596db1644e332bf291 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from scrapystsytem.misc.commonspider import CommonSpider
from scrapy.spiders import Rule
from scrapy.linkextractors import LinkExtractor as sle
logger = logging.getLogger(__name__)
class DoubanMovieSpider(CommonSpider):
name = "doubanmovie"
allowed_domains = ["douban... | 31.7 | 89 | 0.648791 | 110 | 951 | 5.418182 | 0.581818 | 0.060403 | 0.050336 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006614 | 0.205047 | 951 | 30 | 90 | 31.7 | 0.781746 | 0.022082 | 0 | 0 | 0 | 0 | 0.261572 | 0.024758 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | 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 |
42fe26b4d9e2cf96a145d2ebd3a33d07d37ab54e | 2,476 | py | Python | 09/09b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | 1 | 2021-12-01T17:43:38.000Z | 2021-12-01T17:43:38.000Z | 09/09b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | null | null | null | 09/09b.py | thejoeejoee/aoc-2021 | 1ae7650aea42b5fbb60e891687cf7bc84c81bd66 | [
"MIT"
] | null | null | null | #!/bin/env python3
import operator
from _operator import attrgetter, itemgetter
from collections import defaultdict, Counter
from functools import reduce, partial
from itertools import chain
from aocd import get_data
EMPTY = type('EMPTY', (int,), dict(__repr__=(f := lambda s: 'EMPTY'), __str__=f))(10)
def windowed(... | 26.340426 | 91 | 0.560582 | 330 | 2,476 | 4.090909 | 0.363636 | 0.017778 | 0.023704 | 0.014815 | 0.056296 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013618 | 0.317851 | 2,476 | 93 | 92 | 26.623656 | 0.785672 | 0.061389 | 0 | 0.061538 | 0 | 0 | 0.007759 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.092308 | 0.015385 | 0.2 | 0.015385 | 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 |
42ff0390633d326bb027aa10d5b16efa20802940 | 1,343 | py | Python | tests/test_window.py | yogeshkumarpilli/detectron2 | f4f276dc8239b2c5a1bbbf6ed234acd25c75a522 | [
"Apache-2.0"
] | null | null | null | tests/test_window.py | yogeshkumarpilli/detectron2 | f4f276dc8239b2c5a1bbbf6ed234acd25c75a522 | [
"Apache-2.0"
] | null | null | null | tests/test_window.py | yogeshkumarpilli/detectron2 | f4f276dc8239b2c5a1bbbf6ed234acd25c75a522 | [
"Apache-2.0"
] | 3 | 2021-12-17T04:28:02.000Z | 2022-02-22T18:18:03.000Z | from detectron2.engine import DefaultPredictor
from detectron2.data import MetadataCatalog
from detectron2.config import get_cfg
from detectron2.utils.visualizer import ColorMode, Visualizer
from detectron2 import model_zoo
import cv2
import numpy as np
import requests
# Load an image
res = requests.get("h... | 37.305556 | 191 | 0.737156 | 181 | 1,343 | 5.320442 | 0.546961 | 0.07269 | 0.022845 | 0.037383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053136 | 0.145197 | 1,343 | 36 | 192 | 37.305556 | 0.785714 | 0.050633 | 0 | 0 | 0 | 0.035714 | 0.193522 | 0.035628 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 0.035714 | 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 |
42ff644535c1107deafd0fab424dd9161db0897b | 9,920 | py | Python | hydra/cli.py | albertoa/hydra | 8161e75829e4e76cb91ce516bbf03c258a87ce9e | [
"Apache-2.0"
] | 28 | 2020-11-05T16:04:51.000Z | 2021-02-16T22:58:10.000Z | hydra/cli.py | albertoa/hydra | 8161e75829e4e76cb91ce516bbf03c258a87ce9e | [
"Apache-2.0"
] | 43 | 2020-11-06T19:21:39.000Z | 2021-02-25T19:04:42.000Z | hydra/cli.py | albertoa/hydra | 8161e75829e4e76cb91ce516bbf03c258a87ce9e | [
"Apache-2.0"
] | 4 | 2020-11-06T08:54:57.000Z | 2021-01-18T03:26:00.000Z | import os
import yaml
import json
import click
import hydra.utils.constants as const
from hydra.utils.git import check_repo
from hydra.utils.utils import dict_to_string, inflate_options
from hydra.cloud.local_platform import LocalPlatform
from hydra.cloud.fast_local_platform import FastLocalPlatform
from hydra.cloud.go... | 44.684685 | 200 | 0.674698 | 1,328 | 9,920 | 4.745482 | 0.13253 | 0.082513 | 0.04443 | 0.049508 | 0.544906 | 0.501269 | 0.471279 | 0.445255 | 0.43034 | 0.391622 | 0 | 0.001327 | 0.240323 | 9,920 | 221 | 201 | 44.886878 | 0.834926 | 0.025 | 0 | 0.209302 | 0 | 0 | 0.15668 | 0.016351 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011628 | false | 0.046512 | 0.069767 | 0 | 0.087209 | 0.017442 | 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 |
6e0596f60ea2aacca4a2e542940c06bbc4f394b7 | 25,458 | py | Python | utils/dataset_utils.py | Daipuwei/YOLO-tf2 | 1b2e7133c99507573f419c8a367a8dba4abeae5b | [
"MIT"
] | null | null | null | utils/dataset_utils.py | Daipuwei/YOLO-tf2 | 1b2e7133c99507573f419c8a367a8dba4abeae5b | [
"MIT"
] | null | null | null | utils/dataset_utils.py | Daipuwei/YOLO-tf2 | 1b2e7133c99507573f419c8a367a8dba4abeae5b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2021/9/18 下午11:23
# @Author : DaiPuWei
# @Email : 771830171@qq.com
# @File : dataset_utils.py
# @Software: PyCharm
"""
这是YOLO模型数据集
"""
import cv2
import numpy as np
from PIL import Image
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from utils.model_utils import... | 39.902821 | 112 | 0.439351 | 2,953 | 25,458 | 3.60955 | 0.122249 | 0.021109 | 0.006567 | 0.014448 | 0.453138 | 0.406136 | 0.366545 | 0.331363 | 0.302749 | 0.289145 | 0 | 0.049403 | 0.371867 | 25,458 | 638 | 113 | 39.902821 | 0.61716 | 0.168081 | 0 | 0.391198 | 0 | 0 | 0.009059 | 0 | 0 | 0 | 0 | 0 | 0.002445 | 1 | 0.026895 | false | 0 | 0.01467 | 0.002445 | 0.06846 | 0.002445 | 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 |
6e080db2602e0c90c09249fc8d6eeaeabeabd005 | 750 | py | Python | caesar_cipher.py | DomirScire/Basic_Ciphers | 7425b306f8d0ce9ceb5ba3a59e73a52892bee5ca | [
"MIT"
] | 1 | 2021-03-31T23:29:00.000Z | 2021-03-31T23:29:00.000Z | caesar_cipher.py | DomirScire/Ciphers_Py | 127c82b14c9bd5595f924bc267b6bf238f654c22 | [
"MIT"
] | null | null | null | caesar_cipher.py | DomirScire/Ciphers_Py | 127c82b14c9bd5595f924bc267b6bf238f654c22 | [
"MIT"
] | null | null | null | import string
def caesar_cipher(text, shift, decrypt=False):
if not text.isascii() or not text.isalpha():
raise ValueError("Text must be ASCII and contain no numbers.")
lowercase = string.ascii_lowercase
uppercase = string.ascii_uppercase
result = ""
if decrypt:
shift = shift * -1... | 27.777778 | 70 | 0.630667 | 84 | 750 | 5.47619 | 0.5 | 0.078261 | 0.065217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016275 | 0.262667 | 750 | 26 | 71 | 28.846154 | 0.815552 | 0 | 0 | 0 | 0 | 0 | 0.128 | 0.061333 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.15 | 0.1 | 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 |
6e0977041deef6fa7bf74e2fadd3b0a89bcf73e3 | 6,953 | py | Python | hume/hume/app.py | megacorpincorporated/HOME | 0eb8009b028fabf64abb03acc0a081b2b8207eb0 | [
"MIT"
] | 1 | 2018-02-18T15:51:57.000Z | 2018-02-18T15:51:57.000Z | hume/hume/app.py | megacorpincorporated/HOME | 0eb8009b028fabf64abb03acc0a081b2b8207eb0 | [
"MIT"
] | null | null | null | hume/hume/app.py | megacorpincorporated/HOME | 0eb8009b028fabf64abb03acc0a081b2b8207eb0 | [
"MIT"
] | null | null | null | import json
import logging
from app.abc import StartError
from app.device import DeviceApp, DeviceMessage
from app.device.models import Device
from app.hint import HintApp
from app.hint.defs import HintMessage
from util.storage import DataStore
LOGGER = logging.getLogger(__name__)
class Hume:
def __init__(self... | 38.414365 | 78 | 0.576154 | 790 | 6,953 | 4.93038 | 0.23038 | 0.04878 | 0.050064 | 0.021823 | 0.278049 | 0.167394 | 0.154557 | 0.102696 | 0.086264 | 0.086264 | 0 | 0.002182 | 0.341004 | 6,953 | 180 | 79 | 38.627778 | 0.847883 | 0.129009 | 0 | 0.155738 | 0 | 0 | 0.163348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04918 | false | 0 | 0.065574 | 0 | 0.122951 | 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 |
6e0c62be30176a8297c1bf84eb84e82bffd0d9ee | 3,281 | py | Python | scripts/generate_demo_requests.py | onedata/onezone-gui-plugin-ecrin | 2bf38b0994d1c0bf8148b1b8c5990bcf0aa4a62b | [
"MIT"
] | null | null | null | scripts/generate_demo_requests.py | onedata/onezone-gui-plugin-ecrin | 2bf38b0994d1c0bf8148b1b8c5990bcf0aa4a62b | [
"MIT"
] | null | null | null | scripts/generate_demo_requests.py | onedata/onezone-gui-plugin-ecrin | 2bf38b0994d1c0bf8148b1b8c5990bcf0aa4a62b | [
"MIT"
] | null | null | null | #
# Author: Michał Borzęcki
#
# This script creates empty files with study and data object metadata in
# specified space and Oneprovider. It uses JSON files located in directories
# `studies_dir` (= studies) and `data_object_dir` (= data_objects). Positional
# arguments:
# 1. Oneprovider location (IP address or domain... | 33.824742 | 102 | 0.643401 | 431 | 3,281 | 4.786543 | 0.357309 | 0.042656 | 0.032962 | 0.014542 | 0.329132 | 0.245274 | 0.245274 | 0.245274 | 0.228793 | 0.197286 | 0 | 0.020698 | 0.204816 | 3,281 | 96 | 103 | 34.177083 | 0.770027 | 0.255105 | 0 | 0.338235 | 0 | 0 | 0.198102 | 0.066859 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.073529 | 0 | 0.073529 | 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 |
6e0cbccdccc4307ec0cd8efe2c3cb65f9c612951 | 1,925 | py | Python | backend/routes/user.py | mradzikowski/flask-trackerproductivity | 029103b80e21b6c64801816fe8dc27585317cb02 | [
"MIT"
] | null | null | null | backend/routes/user.py | mradzikowski/flask-trackerproductivity | 029103b80e21b6c64801816fe8dc27585317cb02 | [
"MIT"
] | null | null | null | backend/routes/user.py | mradzikowski/flask-trackerproductivity | 029103b80e21b6c64801816fe8dc27585317cb02 | [
"MIT"
] | null | null | null | from flask import jsonify, request
import backend.services.user as user_services
from . import bp
@bp.route('/user', methods=['POST', 'GET'])
def create_user():
if request.method == "POST":
data_json = request.json
body, status = user_services.create_user(data_json)
elif request.method == "G... | 27.112676 | 81 | 0.628052 | 250 | 1,925 | 4.664 | 0.196 | 0.154374 | 0.096055 | 0.150943 | 0.531732 | 0.504288 | 0.480274 | 0.403087 | 0.403087 | 0.389365 | 0 | 0.01222 | 0.234805 | 1,925 | 70 | 82 | 27.5 | 0.779362 | 0 | 0 | 0.403846 | 0 | 0 | 0.089964 | 0.015081 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096154 | false | 0 | 0.057692 | 0 | 0.269231 | 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 |
6e0db8ed1374b74b17dc4c64dad644332a33ce07 | 7,205 | py | Python | src/modu/editable/datatypes/date.py | philchristensen/modu | 795f3bc413956b98522ac514dafe35cbab0d57a3 | [
"MIT"
] | null | null | null | src/modu/editable/datatypes/date.py | philchristensen/modu | 795f3bc413956b98522ac514dafe35cbab0d57a3 | [
"MIT"
] | null | null | null | src/modu/editable/datatypes/date.py | philchristensen/modu | 795f3bc413956b98522ac514dafe35cbab0d57a3 | [
"MIT"
] | null | null | null | # modu
# Copyright (c) 2006-2010 Phil Christensen
# http://modu.bubblehouse.org
#
#
# See LICENSE for details
"""
Datatypes for managing stringlike data.
"""
import time, datetime
from zope.interface import implements
from modu.editable import IDatatype, define
from modu.util import form, tags, date
from modu.persi... | 28.82 | 106 | 0.658015 | 988 | 7,205 | 4.673077 | 0.194332 | 0.047 | 0.02924 | 0.040936 | 0.455491 | 0.390513 | 0.34178 | 0.292831 | 0.261209 | 0.214425 | 0 | 0.0042 | 0.173907 | 7,205 | 249 | 107 | 28.935743 | 0.771505 | 0.084663 | 0 | 0.346369 | 0 | 0 | 0.17821 | 0.038308 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03352 | false | 0 | 0.03352 | 0 | 0.178771 | 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 |
6e11fb05adb494991b86d4b22a22f936a7c8a876 | 1,908 | py | Python | cactusbot/commands/magic/alias.py | CactusBot/CactusBot | 6d035bf74bdc8f7fb3ee1e79f8d443f5b17e7ea5 | [
"MIT"
] | 23 | 2016-02-16T05:09:11.000Z | 2016-09-20T14:22:51.000Z | cactusbot/commands/magic/alias.py | Alkali-Metal/CactusBot | 6d035bf74bdc8f7fb3ee1e79f8d443f5b17e7ea5 | [
"MIT"
] | 190 | 2016-09-30T05:31:59.000Z | 2018-12-22T08:46:49.000Z | cactusbot/commands/magic/alias.py | Alkali-Metal/CactusBot | 6d035bf74bdc8f7fb3ee1e79f8d443f5b17e7ea5 | [
"MIT"
] | 16 | 2016-10-09T16:51:48.000Z | 2017-10-25T05:29:10.000Z | """Alias command."""
from . import Command
from ...packets import MessagePacket
class Alias(Command):
"""Alias command."""
COMMAND = "alias"
@Command.command(role="moderator")
async def add(self, alias: "?command", command: "?command", *_: False,
raw: "packet"):
"""Add a n... | 32.338983 | 78 | 0.545597 | 191 | 1,908 | 5.387435 | 0.319372 | 0.116618 | 0.073858 | 0.061224 | 0.2138 | 0.137998 | 0 | 0 | 0 | 0 | 0 | 0.013544 | 0.303459 | 1,908 | 58 | 79 | 32.896552 | 0.760722 | 0.015199 | 0 | 0.15 | 0 | 0 | 0.162934 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.275 | 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 |
6e13a8102a55ae649fda3dcfedbae946ebff32c0 | 2,828 | py | Python | explorer/util.py | brianhouse/rlab | 4d878abd2299fd340a645ebd8b92a68c2b48f41e | [
"MIT"
] | null | null | null | explorer/util.py | brianhouse/rlab | 4d878abd2299fd340a645ebd8b92a68c2b48f41e | [
"MIT"
] | null | null | null | explorer/util.py | brianhouse/rlab | 4d878abd2299fd340a645ebd8b92a68c2b48f41e | [
"MIT"
] | null | null | null | import numpy as np
def combine(signal_x, signal_y):
return np.stack((signal_x, signal_y), axis=-1)
def normalize(signal, minimum=None, maximum=None):
"""Normalize a signal to the range 0, 1. Uses the minimum and maximum observed in the data unless explicitly passed."""
signal = np.array(signal).astype('fl... | 40.985507 | 132 | 0.597242 | 391 | 2,828 | 4.232737 | 0.340153 | 0.043505 | 0.042296 | 0.03142 | 0.101511 | 0.09426 | 0.09426 | 0.09426 | 0.049547 | 0 | 0 | 0.014141 | 0.299859 | 2,828 | 69 | 133 | 40.985507 | 0.821717 | 0.220297 | 0 | 0.142857 | 0 | 0 | 0.008353 | 0 | 0 | 0 | 0 | 0 | 0.017857 | 1 | 0.089286 | false | 0 | 0.017857 | 0.017857 | 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 |
6e14c71363bc33135f20b63aec47306b9531737a | 2,839 | py | Python | dooly/converters/kobart_utils.py | jinmang2/DOOLY | 961c7b43b06dffa98dc8a39e72e417502e89470c | [
"Apache-2.0"
] | 17 | 2022-03-06T05:06:14.000Z | 2022-03-31T00:25:06.000Z | dooly/converters/kobart_utils.py | jinmang2/DOOLY | 961c7b43b06dffa98dc8a39e72e417502e89470c | [
"Apache-2.0"
] | 6 | 2022-03-27T18:18:40.000Z | 2022-03-31T17:35:34.000Z | dooly/converters/kobart_utils.py | jinmang2/DOOLY | 961c7b43b06dffa98dc8a39e72e417502e89470c | [
"Apache-2.0"
] | 1 | 2022-03-31T13:07:41.000Z | 2022-03-31T13:07:41.000Z | import os
import sys
import hashlib
import importlib
def is_available_boto3():
return importlib.util.find_spec("boto3")
if is_available_boto3():
import boto3
from botocore import UNSIGNED
from botocore.client import Config
else:
raise ModuleNotFoundError("Please install boto3 with: `pip install ... | 31.898876 | 80 | 0.610426 | 352 | 2,839 | 4.71875 | 0.34375 | 0.062613 | 0.036123 | 0.042143 | 0.145695 | 0.124022 | 0.124022 | 0.124022 | 0.124022 | 0.077062 | 0 | 0.015429 | 0.269461 | 2,839 | 88 | 81 | 32.261364 | 0.784957 | 0.010215 | 0 | 0.082192 | 0 | 0 | 0.074786 | 0 | 0 | 0 | 0 | 0 | 0.013699 | 1 | 0.082192 | false | 0 | 0.109589 | 0.013699 | 0.273973 | 0.027397 | 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 |
6e15e9506e9a75c167124e23e066dc0069217190 | 1,565 | py | Python | tests/uv/util/test_env.py | hartikainen/uv-metrics | 7b47b8ce1dff5fc41cdd540f816ea41a0cd27c21 | [
"ECL-2.0",
"Apache-2.0"
] | 9 | 2020-06-17T17:33:05.000Z | 2022-03-30T17:32:05.000Z | tests/uv/util/test_env.py | hartikainen/uv-metrics | 7b47b8ce1dff5fc41cdd540f816ea41a0cd27c21 | [
"ECL-2.0",
"Apache-2.0"
] | 28 | 2020-06-16T18:32:08.000Z | 2020-11-12T17:51:20.000Z | tests/uv/util/test_env.py | hartikainen/uv-metrics | 7b47b8ce1dff5fc41cdd540f816ea41a0cd27c21 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2020-08-07T20:05:49.000Z | 2021-10-21T01:43:00.000Z | #!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# 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 ag... | 29.528302 | 78 | 0.705431 | 235 | 1,565 | 4.587234 | 0.548936 | 0.055659 | 0.055659 | 0.029685 | 0.064935 | 0.064935 | 0 | 0 | 0 | 0 | 0 | 0.006245 | 0.18147 | 1,565 | 52 | 79 | 30.096154 | 0.835285 | 0.513099 | 0 | 0 | 0 | 0 | 0.253711 | 0.041835 | 0 | 0 | 0 | 0 | 0.210526 | 1 | 0.105263 | false | 0 | 0.105263 | 0.052632 | 0.263158 | 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 |
6e1651dd40e1ae6c43644b4a77456f4eb701c53a | 1,054 | py | Python | models/fleet.py | gnydick/qairon | e67af1f88ac6c614ae33adc4f42ab2ec3cc5b257 | [
"MIT"
] | null | null | null | models/fleet.py | gnydick/qairon | e67af1f88ac6c614ae33adc4f42ab2ec3cc5b257 | [
"MIT"
] | null | null | null | models/fleet.py | gnydick/qairon | e67af1f88ac6c614ae33adc4f42ab2ec3cc5b257 | [
"MIT"
] | null | null | null | from sqlalchemy import *
from sqlalchemy.orm import relationship
from db import db
class Fleet(db.Model):
__tablename__ = "fleet"
id = Column(String, primary_key=True)
deployment_target_id = Column(String, ForeignKey('deployment_target.id'))
fleet_type_id = Column(String, ForeignKey('fleet_type.id'))... | 30.114286 | 89 | 0.736243 | 129 | 1,054 | 5.682171 | 0.387597 | 0.081855 | 0.076398 | 0.065484 | 0.076398 | 0.076398 | 0 | 0 | 0 | 0 | 0 | 0.003319 | 0.142315 | 1,054 | 34 | 90 | 31 | 0.807522 | 0 | 0 | 0 | 0 | 0 | 0.133776 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.130435 | false | 0 | 0.130435 | 0.043478 | 0.826087 | 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 |
6e1773f3e2177f91fdf46e022af55af83edbbcb5 | 1,568 | py | Python | logs/followup_email.py | vreyespue/Movie_Bot | 192c74be62afcfda77a0984ff4da3014226c3432 | [
"Apache-2.0"
] | 26 | 2019-02-04T04:55:09.000Z | 2021-09-22T14:58:46.000Z | logs/followup_email.py | vreyespue/Movie_Bot | 192c74be62afcfda77a0984ff4da3014226c3432 | [
"Apache-2.0"
] | 2 | 2019-05-07T16:33:09.000Z | 2021-02-13T18:25:35.000Z | logs/followup_email.py | vreyespue/Movie_Bot | 192c74be62afcfda77a0984ff4da3014226c3432 | [
"Apache-2.0"
] | 27 | 2018-12-10T12:13:50.000Z | 2020-10-11T17:43:22.000Z | ###################################################################
######## Follow up email #############
###################################################################
"""
followup_email.py
This is special use case code written to assist bot developers. It consolidates to... | 26.133333 | 122 | 0.646684 | 201 | 1,568 | 5.00995 | 0.557214 | 0.044687 | 0.051639 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001497 | 0.147959 | 1,568 | 60 | 123 | 26.133333 | 0.752246 | 0.169643 | 0 | 0 | 0 | 0.028571 | 0.284192 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.228571 | 0 | 0.228571 | 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 |
6e1b6e602b092d059fb5b4b96bb130aa002770f4 | 1,213 | py | Python | wiwo/sender.py | CoreSecurity/wiwo | 44bd44b8ebea7e33105a7f4dac6480493cbb9623 | [
"Apache-1.1"
] | 76 | 2015-08-01T23:24:43.000Z | 2018-07-02T11:13:16.000Z | wiwo/sender.py | 6e726d/wiwo | 44bd44b8ebea7e33105a7f4dac6480493cbb9623 | [
"Apache-1.1"
] | 1 | 2016-01-28T22:11:17.000Z | 2016-02-03T22:14:46.000Z | wiwo/sender.py | 6e726d/wiwo | 44bd44b8ebea7e33105a7f4dac6480493cbb9623 | [
"Apache-1.1"
] | 27 | 2015-08-11T07:24:42.000Z | 2018-10-05T11:09:54.000Z | #!/usr/bin/env python
# -*- coding: iso-8859-15 -*-
#
# Copyright 2003-2015 CORE Security Technologies
#
# 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/LIC... | 28.880952 | 74 | 0.678483 | 164 | 1,213 | 4.95122 | 0.664634 | 0.073892 | 0.03202 | 0.039409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029979 | 0.230008 | 1,213 | 41 | 75 | 29.585366 | 0.8394 | 0.587799 | 0 | 0 | 0 | 0 | 0.008772 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.166667 | 0 | 0.416667 | 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 |
6e201007363380e4d643bfc71a7961525d34bdc2 | 4,073 | py | Python | email_scrapper/readers/gmail_reader.py | datmellow/email-scrapper | 614e99a4b33f3a0d3d85d5eb9c359818991673a6 | [
"MIT"
] | 2 | 2018-01-07T23:12:28.000Z | 2018-01-10T00:58:17.000Z | email_scrapper/readers/gmail_reader.py | LucasCoderT/email-scrapper | 614e99a4b33f3a0d3d85d5eb9c359818991673a6 | [
"MIT"
] | null | null | null | email_scrapper/readers/gmail_reader.py | LucasCoderT/email-scrapper | 614e99a4b33f3a0d3d85d5eb9c359818991673a6 | [
"MIT"
] | 1 | 2019-12-09T17:01:08.000Z | 2019-12-09T17:01:08.000Z | import base64
import datetime
import email
import logging
import os
import typing
from email.message import Message
from googleapiclient import errors
from email_scrapper.models import Stores
from email_scrapper.readers.base_reader import BaseReader
logger = logging.getLogger(__name__)
class GmailReader(BaseReader... | 41.141414 | 117 | 0.615762 | 456 | 4,073 | 5.302632 | 0.335526 | 0.01737 | 0.016543 | 0.029777 | 0.163772 | 0.150538 | 0.126551 | 0.096774 | 0.096774 | 0.096774 | 0 | 0.002758 | 0.287749 | 4,073 | 98 | 118 | 41.561224 | 0.830748 | 0.076848 | 0 | 0.089552 | 0 | 0 | 0.088211 | 0.019786 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089552 | false | 0 | 0.208955 | 0.029851 | 0.38806 | 0.014925 | 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 |
6e2255b8f77a18ad6776515831039d97cfa15e3a | 748 | py | Python | Advanced_algorithm/oj_test/test04.py | mndream/MyOJ | ee92fb657475d998e6c201f222cb20bcbc2bfd64 | [
"Apache-2.0"
] | 1 | 2018-12-27T08:06:38.000Z | 2018-12-27T08:06:38.000Z | Advanced_algorithm/oj_test/test04.py | mndream/MyPythonOJ | ee92fb657475d998e6c201f222cb20bcbc2bfd64 | [
"Apache-2.0"
] | null | null | null | Advanced_algorithm/oj_test/test04.py | mndream/MyPythonOJ | ee92fb657475d998e6c201f222cb20bcbc2bfd64 | [
"Apache-2.0"
] | null | null | null | '''
A+B for Input-Output Practice (IV)
描述
Your task is to Calculate the sum of some integers.
输入
Input contains multiple test cases. Each test case contains a integer N,
and then N integers follow in the same line.
A test case starting with 0 terminates the input and this test case is not to be processed.
输出
For each g... | 24.933333 | 91 | 0.669786 | 142 | 748 | 3.507042 | 0.528169 | 0.048193 | 0.012048 | 0.016064 | 0.02008 | 0 | 0 | 0 | 0 | 0 | 0 | 0.037037 | 0.241979 | 748 | 30 | 92 | 24.933333 | 0.84127 | 0.705882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.111111 | 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 |
6e22c62fbf96771a37ae5b157b23776e81cda2c5 | 2,421 | py | Python | pre-processing/obtain_audio_spectrogram.py | GeWu-Lab/OGM-GE_CVPR2022 | 08b3f2498dd3e89f57fe9a12b5bf0c162eba1fbf | [
"MIT"
] | 4 | 2022-03-06T17:57:24.000Z | 2022-03-24T04:26:32.000Z | pre-processing/obtain_audio_spectrogram.py | GeWu-Lab/OGM-GE_CVPR2022 | 08b3f2498dd3e89f57fe9a12b5bf0c162eba1fbf | [
"MIT"
] | null | null | null | pre-processing/obtain_audio_spectrogram.py | GeWu-Lab/OGM-GE_CVPR2022 | 08b3f2498dd3e89f57fe9a12b5bf0c162eba1fbf | [
"MIT"
] | 1 | 2022-03-31T08:12:15.000Z | 2022-03-31T08:12:15.000Z | import multiprocessing
import os
import os.path
import pickle
import librosa
import numpy as np
from scipy import signal
def audio_extract(path, audio_name, audio_path, sr=16000):
save_path = path
samples, samplerate = librosa.load(audio_path)
resamples = np.tile(samples, 10)[:160000]
resamples[resam... | 28.482353 | 106 | 0.646014 | 312 | 2,421 | 4.807692 | 0.391026 | 0.036 | 0.043333 | 0.034 | 0.098667 | 0.070667 | 0.04 | 0 | 0 | 0 | 0 | 0.020868 | 0.247831 | 2,421 | 84 | 107 | 28.821429 | 0.802856 | 0.072284 | 0 | 0.033333 | 0 | 0 | 0.056747 | 0.035299 | 0 | 0 | 0 | 0 | 0.016667 | 1 | 0.05 | false | 0 | 0.116667 | 0 | 0.183333 | 0.066667 | 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 |
6e237945177ee47426cc1fcc873291dbba403f32 | 3,317 | py | Python | src/protean/core/event_handler.py | mpsiva89/protean | 315fa56da3f64178bbbf0edf1995af46d5eb3da7 | [
"BSD-3-Clause"
] | null | null | null | src/protean/core/event_handler.py | mpsiva89/protean | 315fa56da3f64178bbbf0edf1995af46d5eb3da7 | [
"BSD-3-Clause"
] | null | null | null | src/protean/core/event_handler.py | mpsiva89/protean | 315fa56da3f64178bbbf0edf1995af46d5eb3da7 | [
"BSD-3-Clause"
] | null | null | null | import inspect
import logging
from protean.container import Element, OptionsMixin
from protean.core.event import BaseEvent
from protean.exceptions import IncorrectUsageError
from protean.utils import DomainObjects, derive_element_class, fully_qualified_name
from protean.utils.mixins import HandlerMixin
logger = loggi... | 36.855556 | 114 | 0.619234 | 363 | 3,317 | 5.38292 | 0.319559 | 0.06653 | 0.053736 | 0.052201 | 0.136643 | 0.085977 | 0 | 0 | 0 | 0 | 0 | 0.001306 | 0.307507 | 3,317 | 89 | 115 | 37.269663 | 0.849369 | 0.177872 | 0 | 0.032787 | 0 | 0 | 0.082288 | 0.008856 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04918 | false | 0 | 0.114754 | 0 | 0.262295 | 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 |
6e246664f07a32e8eef7dfd24b7f3cda19fa9734 | 7,508 | py | Python | read_prepare_data.py | jlu-ilr-hydro/IPCC-Repots-Focus-Overview | bf631975eb6c3ea2cf2f8fe9382e3361ad700a6e | [
"Apache-2.0"
] | null | null | null | read_prepare_data.py | jlu-ilr-hydro/IPCC-Repots-Focus-Overview | bf631975eb6c3ea2cf2f8fe9382e3361ad700a6e | [
"Apache-2.0"
] | null | null | null | read_prepare_data.py | jlu-ilr-hydro/IPCC-Repots-Focus-Overview | bf631975eb6c3ea2cf2f8fe9382e3361ad700a6e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 17 10:12:26 2021
@author: Florian Jehn
"""
import os
import pandas as pd
import numpy as np
def read_ipcc_counts_temp():
"""reads all counts of temperatures for all reports and makes on df"""
files = os.listdir(os.getcwd()+os.sep+"Results"+ os.sep + "temperature... | 48.128205 | 300 | 0.683404 | 1,187 | 7,508 | 4.002527 | 0.20219 | 0.088402 | 0.027784 | 0.055567 | 0.419491 | 0.320354 | 0.211534 | 0.175752 | 0.112608 | 0.099137 | 0 | 0.03261 | 0.183138 | 7,508 | 155 | 301 | 48.43871 | 0.737323 | 0.13439 | 0 | 0.110092 | 0 | 0 | 0.41668 | 0.297962 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091743 | false | 0 | 0.027523 | 0 | 0.201835 | 0.009174 | 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 |
6e2666a6e406e4ebd7fe6e6904bdb4696b8d2f47 | 404 | py | Python | has33.py | CombatPompano81/Python-Snippets-Galore | c2fb9c6ebef0477895749db9f2aa0f87132a72d6 | [
"Apache-2.0"
] | null | null | null | has33.py | CombatPompano81/Python-Snippets-Galore | c2fb9c6ebef0477895749db9f2aa0f87132a72d6 | [
"Apache-2.0"
] | null | null | null | has33.py | CombatPompano81/Python-Snippets-Galore | c2fb9c6ebef0477895749db9f2aa0f87132a72d6 | [
"Apache-2.0"
] | null | null | null | # main function
def has33(nums):
# iterates through the list and tries to find two 3s next to each other
for i in range(0, len(nums) - 1):
# if indice i has a 3 and the indice next to it has a 3, print true
if nums[i] == 3 and nums[i + 1] == 3:
return print('True')
return prin... | 22.444444 | 75 | 0.569307 | 76 | 404 | 3.026316 | 0.460526 | 0.043478 | 0.043478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.108014 | 0.289604 | 404 | 17 | 76 | 23.764706 | 0.69338 | 0.368812 | 0 | 0 | 0 | 0 | 0.035857 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.333333 | 0.222222 | 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 |
6e2726ca9cbe233a3e8bac00017eecef8153cd91 | 17,692 | py | Python | survos2/frontend/plugins/objects.py | DiamondLightSource/SuRVoS2 | 42bacfb6a5cc267f38ca1337e51a443eae1a9d2b | [
"MIT"
] | 4 | 2017-10-10T14:47:16.000Z | 2022-01-14T05:57:50.000Z | survos2/frontend/plugins/objects.py | DiamondLightSource/SuRVoS2 | 42bacfb6a5cc267f38ca1337e51a443eae1a9d2b | [
"MIT"
] | 1 | 2022-01-11T21:11:12.000Z | 2022-01-12T08:22:34.000Z | survos2/frontend/plugins/objects.py | DiamondLightSource/SuRVoS2 | 42bacfb6a5cc267f38ca1337e51a443eae1a9d2b | [
"MIT"
] | 2 | 2018-03-06T06:31:29.000Z | 2019-03-04T03:33:18.000Z | from survos2.config import Config
import numpy as np
from numpy.lib.function_base import flip
from qtpy import QtWidgets
from qtpy.QtWidgets import QPushButton, QRadioButton
from survos2.frontend.components.base import *
from survos2.frontend.components.entity import (
SmallVolWidget,
TableWidget,
setup_en... | 37.562633 | 111 | 0.603154 | 1,938 | 17,692 | 5.312694 | 0.155831 | 0.024476 | 0.017677 | 0.013986 | 0.395105 | 0.299242 | 0.246989 | 0.225622 | 0.18075 | 0.174145 | 0 | 0.010387 | 0.287135 | 17,692 | 470 | 112 | 37.642553 | 0.805978 | 0.009552 | 0 | 0.239583 | 0 | 0 | 0.091179 | 0.007422 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052083 | false | 0 | 0.049479 | 0 | 0.127604 | 0.018229 | 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 |
6e28319339ecb10a654afec47c04531f1e4fc2e5 | 5,459 | py | Python | tests/benchmark/preprocess_img/preproc.py | mpascucci/AST-image-processing | 54111e874237f0c146760d514eea96131177878a | [
"ECL-2.0",
"Apache-2.0"
] | 6 | 2020-11-24T15:55:35.000Z | 2021-12-31T11:52:56.000Z | tests/benchmark/preprocess_img/preproc.py | mpascucci/AST-image-processing | 54111e874237f0c146760d514eea96131177878a | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2020-11-24T15:46:15.000Z | 2020-11-24T15:46:15.000Z | tests/benchmark/preprocess_img/preproc.py | mpascucci/AST-image-processing | 54111e874237f0c146760d514eea96131177878a | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2021-02-04T10:08:43.000Z | 2022-02-21T02:00:47.000Z | from tqdm import tqdm
import os
import glob
import pickle
import numpy as np
from imageio import imread, imwrite
import astimp
from multiprocessing import Pool, cpu_count
from functools import partial
class ErrorInPreproc(Exception):
pass
class Dataset():
"""Datasets consisting of several files in a given in... | 31.923977 | 98 | 0.596263 | 703 | 5,459 | 4.499289 | 0.257468 | 0.02466 | 0.022763 | 0.017072 | 0.067341 | 0.036674 | 0.018337 | 0.018337 | 0.018337 | 0.018337 | 0 | 0.00283 | 0.287965 | 5,459 | 170 | 99 | 32.111765 | 0.810908 | 0.14325 | 0 | 0.078261 | 0 | 0 | 0.073446 | 0 | 0 | 0 | 0 | 0 | 0.008696 | 1 | 0.069565 | false | 0.008696 | 0.078261 | 0.008696 | 0.234783 | 0.008696 | 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 |
6e28b70b57732d2994e0b212e99122e11d61d96f | 1,024 | py | Python | src/main.py | Evelkos/PAM-and-CLARA | 26fbb8d2d4a7924ce1d0d504c4b23bac38238c69 | [
"MIT"
] | null | null | null | src/main.py | Evelkos/PAM-and-CLARA | 26fbb8d2d4a7924ce1d0d504c4b23bac38238c69 | [
"MIT"
] | null | null | null | src/main.py | Evelkos/PAM-and-CLARA | 26fbb8d2d4a7924ce1d0d504c4b23bac38238c69 | [
"MIT"
] | null | null | null | from clustering_algorithms import CLARA, PAM, get_initial_points
from data_loaders import load_data
from timer import Timer
from visualizers import plot_data
# FILENAME = "datasets/artificial/sizes3.arff"
FILENAME = "datasets/artificial/zelnik4.arff"
# FILENAME = "datasets/artificial/xclara.arff"
# FILENAME = "dataset... | 30.117647 | 88 | 0.709961 | 133 | 1,024 | 5.233083 | 0.323308 | 0.094828 | 0.112069 | 0.086207 | 0.106322 | 0.106322 | 0.106322 | 0 | 0 | 0 | 0 | 0.002296 | 0.149414 | 1,024 | 33 | 89 | 31.030303 | 0.796785 | 0.22168 | 0 | 0 | 0 | 0 | 0.154235 | 0.040455 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.4 | 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 |
6e2a9766e0a79f77304a55be682d4bc167bde209 | 4,459 | py | Python | src/utils.py | zimonitrome/AbstractionNet | a037b696ccac015936d60026cb1ac4ebafc68371 | [
"MIT"
] | null | null | null | src/utils.py | zimonitrome/AbstractionNet | a037b696ccac015936d60026cb1ac4ebafc68371 | [
"MIT"
] | null | null | null | src/utils.py | zimonitrome/AbstractionNet | a037b696ccac015936d60026cb1ac4ebafc68371 | [
"MIT"
] | null | null | null | import torch
from einops import rearrange
import svgwrite
###########################################
# Normalization / Standardization functions
###########################################
def normalize_functional(tensor: torch.Tensor, mean: list, std: list):
"""
Standardizes tensor in the channel dimension... | 36.54918 | 113 | 0.589146 | 637 | 4,459 | 3.99529 | 0.241758 | 0.016503 | 0.016503 | 0.00943 | 0.267584 | 0.262868 | 0.179961 | 0.179961 | 0.140668 | 0.121022 | 0 | 0.019009 | 0.22135 | 4,459 | 122 | 114 | 36.54918 | 0.713998 | 0.389549 | 0 | 0.095238 | 0 | 0 | 0.032188 | 0 | 0 | 0 | 0 | 0.008197 | 0 | 1 | 0.190476 | false | 0 | 0.071429 | 0 | 0.452381 | 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 |
6e2c7487821c1b466bfeb152a868353bd01ba3f7 | 3,742 | py | Python | CellMQ.py | edjuaro/cell-migration-quantification | b6479cc8525a1ac8bdaf0abfc66dec57de0be21e | [
"MIT"
] | null | null | null | CellMQ.py | edjuaro/cell-migration-quantification | b6479cc8525a1ac8bdaf0abfc66dec57de0be21e | [
"MIT"
] | null | null | null | CellMQ.py | edjuaro/cell-migration-quantification | b6479cc8525a1ac8bdaf0abfc66dec57de0be21e | [
"MIT"
] | null | null | null | import cv2
import numpy as np
from skimage import draw
from skimage import io
# Read image
im_in = cv2.imread("analyses/MDA231_stopper_1_c3.tif", cv2.IMREAD_GRAYSCALE);
# Threshold.
# Set values equal to or above 220 to 0.
# Set values below 220 to 255.
th, im_th = cv2.threshold(im_in, 20, 255, cv2.THRESH_BINARY_... | 27.925373 | 120 | 0.69829 | 601 | 3,742 | 4.231281 | 0.264559 | 0.034605 | 0.056233 | 0.060165 | 0.395596 | 0.289422 | 0.204876 | 0.127802 | 0.070783 | 0.070783 | 0 | 0.046671 | 0.141101 | 3,742 | 134 | 121 | 27.925373 | 0.744555 | 0.70791 | 0 | 0 | 0 | 0 | 0.056352 | 0.032787 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 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 |
6e2d9335521cea1ce24ba509b262882641d75542 | 1,344 | py | Python | test/unit/messages/bloxroute/test_txs_message.py | dolphinridercrypto/bxcommon | 8f70557c1dbff785a5dd3fcdf91176066e085c3a | [
"MIT"
] | 12 | 2019-11-06T17:39:10.000Z | 2022-03-01T11:26:19.000Z | test/unit/messages/bloxroute/test_txs_message.py | dolphinridercrypto/bxcommon | 8f70557c1dbff785a5dd3fcdf91176066e085c3a | [
"MIT"
] | 8 | 2019-11-06T21:31:11.000Z | 2021-06-02T00:46:50.000Z | test/unit/messages/bloxroute/test_txs_message.py | dolphinridercrypto/bxcommon | 8f70557c1dbff785a5dd3fcdf91176066e085c3a | [
"MIT"
] | 5 | 2019-11-14T18:08:11.000Z | 2022-02-08T09:36:22.000Z | from bxcommon.test_utils.abstract_test_case import AbstractTestCase
from bxcommon.messages.bloxroute.txs_message import TxsMessage
from bxcommon.models.transaction_info import TransactionInfo
from bxcommon.test_utils import helpers
from bxcommon.utils.object_hash import Sha256Hash
class TxsMessageTests(AbstractTestCa... | 38.4 | 110 | 0.738095 | 164 | 1,344 | 5.780488 | 0.317073 | 0.088608 | 0.151899 | 0.126582 | 0.369198 | 0.341772 | 0.237342 | 0.237342 | 0.237342 | 0 | 0 | 0.032316 | 0.171131 | 1,344 | 34 | 111 | 39.529412 | 0.818671 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.26087 | 1 | 0.043478 | false | 0 | 0.217391 | 0 | 0.304348 | 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 |
6e2fe086028f0377c018ceee95df734b7ae1f811 | 986 | py | Python | BLAST/make_fasta.py | cdiaza/bootcamp | 2fda661a44930f70ac8ef15218cc99d099fc4019 | [
"MIT"
] | 1 | 2021-01-16T20:39:41.000Z | 2021-01-16T20:39:41.000Z | BLAST/make_fasta.py | cdiaza/bootcamp | 2fda661a44930f70ac8ef15218cc99d099fc4019 | [
"MIT"
] | null | null | null | BLAST/make_fasta.py | cdiaza/bootcamp | 2fda661a44930f70ac8ef15218cc99d099fc4019 | [
"MIT"
] | 1 | 2021-01-16T20:31:17.000Z | 2021-01-16T20:31:17.000Z | import random
def format_fasta(title, sequence):
"""
This formats a fasta sequence
Input:
title - String - Title of the sequence
sequence - String - Actual sequence
Output:
String - Fully formatted fasta sequence
"""
fasta_width = 70 # Number of characters in one line
n... | 29.878788 | 81 | 0.631846 | 134 | 986 | 4.567164 | 0.447761 | 0.065359 | 0.052288 | 0.078431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01238 | 0.262677 | 986 | 32 | 82 | 30.8125 | 0.829436 | 0.337728 | 0 | 0 | 0 | 0 | 0.119281 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | 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 |
6e330bec332cbcb5e47190df3547281fe5168a28 | 903 | py | Python | tests/test_echo_server_contextvar.py | rednafi/think-async | 3642afc0d8661b10affd953ce3b239f3e6b3009b | [
"MIT"
] | 87 | 2021-04-14T09:51:30.000Z | 2022-03-24T10:38:41.000Z | tests/test_echo_server_contextvar.py | rednafi/think-async | 3642afc0d8661b10affd953ce3b239f3e6b3009b | [
"MIT"
] | 3 | 2021-06-27T18:06:11.000Z | 2022-03-24T19:56:38.000Z | tests/test_echo_server_contextvar.py | rednafi/think-async | 3642afc0d8661b10affd953ce3b239f3e6b3009b | [
"MIT"
] | 4 | 2021-05-12T01:36:14.000Z | 2022-01-28T04:06:12.000Z | from unittest.mock import Mock, patch
import pytest
import patterns.echo_server_contextvar as main
@patch.object(main, "client_addr_var", Mock())
def test_render_goodbye(capsys):
# Call 'render_goodbye'
goodbye_string = main.render_goodbye()
print(goodbye_string)
# Assert.
out, err = capsys.re... | 25.8 | 77 | 0.743079 | 123 | 903 | 5.170732 | 0.430894 | 0.069182 | 0.084906 | 0.132075 | 0.125786 | 0.125786 | 0 | 0 | 0 | 0 | 0 | 0.014342 | 0.150609 | 903 | 34 | 78 | 26.558824 | 0.814863 | 0.059801 | 0 | 0 | 0 | 0 | 0.164692 | 0.114929 | 0 | 0 | 0 | 0 | 0.210526 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.210526 | 0.052632 | 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 |
6e3355f7d36e6d39cee7c23d5acd90666f7629a8 | 693 | py | Python | test.py | riquedev/SSLProxies24Feed | 93ab23a6794ae7f40002eb464a9c443afe44db86 | [
"MIT"
] | null | null | null | test.py | riquedev/SSLProxies24Feed | 93ab23a6794ae7f40002eb464a9c443afe44db86 | [
"MIT"
] | 1 | 2017-09-15T13:27:09.000Z | 2017-09-15T14:43:28.000Z | test.py | riquedev/SSLProxies24Feed | 93ab23a6794ae7f40002eb464a9c443afe44db86 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Autor: rique_dev (rique_dev@hotmail.com)
from SSLProxies24.Feed import Feed
from SSLProxies24.Check import CheckProxy
import time
import gc
# Recupera a listagem
prx = Feed().PROXY_LIST
# Inicia classe
chk = CheckProxy()
# Começa validação
chk.validatelist(prx)
# At... | 19.25 | 84 | 0.730159 | 93 | 693 | 5.408602 | 0.602151 | 0.047714 | 0.075547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012987 | 0.111111 | 693 | 36 | 85 | 19.25 | 0.803571 | 0.249639 | 0 | 0 | 0 | 0 | 0.119141 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.333333 | 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 |
6e33da3d320ddccf5c2863568bc4b5fb0505e125 | 577 | py | Python | euler.py | user3719431/tna_lab1 | 183c34d927c39f502fea7d6a81f2945104d7b75b | [
"MIT"
] | null | null | null | euler.py | user3719431/tna_lab1 | 183c34d927c39f502fea7d6a81f2945104d7b75b | [
"MIT"
] | null | null | null | euler.py | user3719431/tna_lab1 | 183c34d927c39f502fea7d6a81f2945104d7b75b | [
"MIT"
] | null | null | null | import math as m
def yakobi(a, n, k):
if a < 0:
k *= pow(-1, (n - 1) // 2)
yakobi(-a, n, k)
if a % 2 == 0:
k *= (-1) ** ((pow(n, 2) - 1) / 8)
yakobi(a / 2, n, k)
if a == 1:
return k
if a < n:
k *= pow(-1, ((n - 1)(a - 1)) / 4)
yakobi(n % a, a, k)
... | 24.041667 | 60 | 0.363951 | 99 | 577 | 2.111111 | 0.262626 | 0.038278 | 0.076555 | 0.07177 | 0.492823 | 0.425837 | 0.239234 | 0.239234 | 0.239234 | 0 | 0 | 0.067278 | 0.433276 | 577 | 24 | 61 | 24.041667 | 0.571865 | 0 | 0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.05 | 0 | 0.35 | 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 |
6e34180a8de5ed1a630ffd86a9a830130bbd1076 | 3,787 | py | Python | src/b2d/hud_b2d.py | VgTajdd/neuroevolver | 248c96b25ad936e15cfffc7a4223926db83ad540 | [
"MIT"
] | null | null | null | src/b2d/hud_b2d.py | VgTajdd/neuroevolver | 248c96b25ad936e15cfffc7a4223926db83ad540 | [
"MIT"
] | null | null | null | src/b2d/hud_b2d.py | VgTajdd/neuroevolver | 248c96b25ad936e15cfffc7a4223926db83ad540 | [
"MIT"
] | null | null | null | ## ========================================================================= ##
## Copyright (c) 2019 Agustin Durand Diaz. ##
## This code is licensed under the MIT license. ##
## hud_b2d.py ... | 44.034884 | 108 | 0.520201 | 393 | 3,787 | 4.880407 | 0.24173 | 0.067779 | 0.045881 | 0.079249 | 0.658498 | 0.647028 | 0.577164 | 0.553702 | 0.553702 | 0.553702 | 0 | 0.066743 | 0.311592 | 3,787 | 86 | 109 | 44.034884 | 0.668968 | 0.098495 | 0 | 0.528571 | 0 | 0 | 0.064087 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.057143 | 0 | 0.257143 | 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 |
6e358277ee18f33ce73fddfacb850dc985cb0977 | 1,958 | py | Python | grblc/search/gcn/parser/combine.py | youngsm/adsgrb | a89b56b371888deb67788a9f5a91300b281784a6 | [
"MIT"
] | null | null | null | grblc/search/gcn/parser/combine.py | youngsm/adsgrb | a89b56b371888deb67788a9f5a91300b281784a6 | [
"MIT"
] | null | null | null | grblc/search/gcn/parser/combine.py | youngsm/adsgrb | a89b56b371888deb67788a9f5a91300b281784a6 | [
"MIT"
] | null | null | null | def get_final_txt(grb, tables, sentences, output_path):
"""
Combine the data from [grb]_final_sentences.txt and [grb]_final_tables.txt.
If a piece of data in tables and another piece in sentecnes are originially
from the same GCN. Put them in the same GCN in [grb]_final.txt.
"""
# Avoid modifyi... | 36.943396 | 88 | 0.550051 | 262 | 1,958 | 4.026718 | 0.278626 | 0.018957 | 0.056872 | 0.03981 | 0.267299 | 0.214218 | 0.045498 | 0 | 0 | 0 | 0 | 0.002135 | 0.282431 | 1,958 | 52 | 89 | 37.653846 | 0.748754 | 0.353422 | 0 | 0.173913 | 0 | 0 | 0.283049 | 0.188159 | 0.043478 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0 | 0 | 0.043478 | 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 |
6e35f3a7bd64997a4e302cd1d8e7454d8298b774 | 972 | py | Python | hardware/headband.py | davidji/roundbot | 2ca34a83c9feb3331f1b818106f06b3182c4970e | [
"Apache-2.0"
] | null | null | null | hardware/headband.py | davidji/roundbot | 2ca34a83c9feb3331f1b818106f06b3182c4970e | [
"Apache-2.0"
] | null | null | null | hardware/headband.py | davidji/roundbot | 2ca34a83c9feb3331f1b818106f06b3182c4970e | [
"Apache-2.0"
] | null | null | null | from solid import *
from solid.utils import *
import util
from util import *
from math import pi
def headband(r1=64.0, r2=85.0, t=3.0, w=12.0):
combe = right(r1-t/2)(linear_extrude(1)(square([1,1], center=True) + left(0.5)(circle(d=1))))
combe_spacing = 3.0 # mm
combe_count = pi*r1/combe_spacing
c... | 31.354839 | 123 | 0.588477 | 152 | 972 | 3.618421 | 0.421053 | 0.072727 | 0.047273 | 0.050909 | 0.141818 | 0.141818 | 0.141818 | 0.141818 | 0.141818 | 0.141818 | 0 | 0.07537 | 0.235597 | 972 | 30 | 124 | 32.4 | 0.664872 | 0.002058 | 0 | 0 | 0 | 0 | 0.016529 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.208333 | 0 | 0.416667 | 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 |
6e364089d40bdc8f90fe2c5aa5081ef11b937f59 | 3,482 | py | Python | climlab/dynamics/meridional_advection_diffusion.py | nfeldl/climlab | 2cabb49e2c3f54c1795f24338ef5ee44e49fc7e7 | [
"BSD-3-Clause",
"MIT"
] | 160 | 2015-02-25T15:56:37.000Z | 2022-03-14T23:51:23.000Z | climlab/dynamics/meridional_advection_diffusion.py | nfeldl/climlab | 2cabb49e2c3f54c1795f24338ef5ee44e49fc7e7 | [
"BSD-3-Clause",
"MIT"
] | 137 | 2015-12-18T17:39:31.000Z | 2022-02-04T20:50:53.000Z | climlab/dynamics/meridional_advection_diffusion.py | nfeldl/climlab | 2cabb49e2c3f54c1795f24338ef5ee44e49fc7e7 | [
"BSD-3-Clause",
"MIT"
] | 54 | 2015-04-28T05:57:39.000Z | 2022-02-17T08:15:11.000Z | r"""General solver of the 1D meridional advection-diffusion equation on the sphere:
.. math::
\frac{\partial}{\partial t} \psi(\phi,t) &= -\frac{1}{a \cos\phi} \frac{\partial}{\partial \phi} \left[ \cos\phi ~ F(\phi,t) \right] \\
F &= U(\phi) \psi(\phi) -\frac{K(\phi)}{a} ~ \frac{\partial \psi}{\partial \phi}... | 42.463415 | 143 | 0.661401 | 473 | 3,482 | 4.754757 | 0.365751 | 0.024011 | 0.040018 | 0.028012 | 0.169409 | 0.114718 | 0.114718 | 0.066696 | 0.066696 | 0 | 0 | 0.005117 | 0.214245 | 3,482 | 81 | 144 | 42.987654 | 0.816886 | 0.605112 | 0 | 0.352941 | 0 | 0 | 0.002234 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.117647 | 0 | 0.235294 | 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 |
6e397c403213c314186ad9c8dc4d66123671cfea | 620 | py | Python | Day14/main.py | dloibl/AOC2021 | 80672a7ee8ebc1a7970c155e4e15e0ed2351e085 | [
"MIT"
] | null | null | null | Day14/main.py | dloibl/AOC2021 | 80672a7ee8ebc1a7970c155e4e15e0ed2351e085 | [
"MIT"
] | null | null | null | Day14/main.py | dloibl/AOC2021 | 80672a7ee8ebc1a7970c155e4e15e0ed2351e085 | [
"MIT"
] | null | null | null | data = open("input.txt", "r").readlines()
polymer = data[0]
pair_insertion = {}
for line in data[2:]:
[token, replacement] = line.strip().split(" -> ")
pair_insertion[token] = replacement
result = [i for i in polymer.strip()]
for step in range(0, 10):
next = []
for i, si in enumerate(result):
... | 23.846154 | 63 | 0.596774 | 90 | 620 | 4.066667 | 0.477778 | 0.142077 | 0.065574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016985 | 0.240323 | 620 | 25 | 64 | 24.8 | 0.760085 | 0 | 0 | 0.111111 | 0 | 0 | 0.059677 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.055556 | 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 |
6e399f9876b8a0c8affd85f404dc546dcab1961f | 1,199 | py | Python | raster/migrations/0006_auto_20141016_0522.py | bpneumann/django-raster | 74daf9d396f2332a2cd83723b7330e6b10d73b1c | [
"BSD-3-Clause"
] | null | null | null | raster/migrations/0006_auto_20141016_0522.py | bpneumann/django-raster | 74daf9d396f2332a2cd83723b7330e6b10d73b1c | [
"BSD-3-Clause"
] | null | null | null | raster/migrations/0006_auto_20141016_0522.py | bpneumann/django-raster | 74daf9d396f2332a2cd83723b7330e6b10d73b1c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('raster', '0005_auto_20141014_0955'),
]
operations = [
migrations.AddField(
model_name='rastertile',
... | 31.552632 | 236 | 0.539616 | 131 | 1,199 | 4.793893 | 0.419847 | 0.057325 | 0.121019 | 0.146497 | 0.457006 | 0.457006 | 0.39172 | 0.39172 | 0.324841 | 0.324841 | 0 | 0.084827 | 0.301918 | 1,199 | 37 | 237 | 32.405405 | 0.665472 | 0.017515 | 0 | 0.548387 | 0 | 0 | 0.07568 | 0.019558 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.064516 | 0 | 0.16129 | 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 |
6e3b1af1bee45ddc7a412b33a2fead806c9ec302 | 1,765 | py | Python | djangorecipebook/templating.py | tkhyn/djangorecipebook | 2cbb3d46631630e2c7a3c511b504de2088aac115 | [
"MIT"
] | null | null | null | djangorecipebook/templating.py | tkhyn/djangorecipebook | 2cbb3d46631630e2c7a3c511b504de2088aac115 | [
"MIT"
] | null | null | null | djangorecipebook/templating.py | tkhyn/djangorecipebook | 2cbb3d46631630e2c7a3c511b504de2088aac115 | [
"MIT"
] | null | null | null | """
Carry out template-based replacements in project files
"""
import os
import sys
from string import Template
def replace_name(path, mapping):
"""
Handles replacement strings in the file or directory name
"""
# look for replacement strings in filename
f_split = list(os.path.spli... | 25.214286 | 77 | 0.607932 | 224 | 1,765 | 4.691964 | 0.370536 | 0.028544 | 0.076118 | 0.041865 | 0.211227 | 0.159848 | 0.159848 | 0 | 0 | 0 | 0 | 0.002408 | 0.294051 | 1,765 | 69 | 78 | 25.57971 | 0.841091 | 0.204533 | 0 | 0 | 0 | 0 | 0.043444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | 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 |
6e3c23f713b7a54ba361ed5b6913012fed253e5e | 1,747 | py | Python | toHash.py | ElTarget/- | fcf774386514a7f070be25d643be7bbf1a92af1e | [
"MIT"
] | 1 | 2022-02-22T02:39:52.000Z | 2022-02-22T02:39:52.000Z | toHash.py | ElTarget/- | fcf774386514a7f070be25d643be7bbf1a92af1e | [
"MIT"
] | 1 | 2022-03-08T04:46:17.000Z | 2022-03-08T04:46:17.000Z | toHash.py | ElTarget/get_malware_bazaar | fcf774386514a7f070be25d643be7bbf1a92af1e | [
"MIT"
] | null | null | null | import hashlib
import os
# 生成字符串的MD5值
def str2md5(content=None):
if not content:
return ''
md5gen = hashlib.md5()
md5gen.update(content.encode())
return md5gen.hexdigest()
# 生成字符串的SHA256值
def str2sha256(content=None):
if not content:
return ''
sha256gen = hashlib.sha256()
... | 23.293333 | 46 | 0.567258 | 192 | 1,747 | 5.09375 | 0.25 | 0.110429 | 0.06953 | 0.07771 | 0.604294 | 0.522495 | 0.377301 | 0.377301 | 0.377301 | 0.205521 | 0 | 0.054514 | 0.327991 | 1,747 | 74 | 47 | 23.608108 | 0.778535 | 0.019462 | 0 | 0.534483 | 0 | 0 | 0.004684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.034483 | 0 | 0.275862 | 0.068966 | 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 |
6e3ec2b42c30f989802844d030b6a4725567d1ae | 442 | py | Python | config.py | benperove/oneliner.sh | 0c6eb25f2dd32cdd5cc275ef5849b5e12c76e9db | [
"Apache-2.0"
] | 4 | 2019-02-15T01:35:17.000Z | 2020-07-08T17:47:33.000Z | config.py | benperove/oneliner.sh | 0c6eb25f2dd32cdd5cc275ef5849b5e12c76e9db | [
"Apache-2.0"
] | 1 | 2019-05-24T21:00:37.000Z | 2019-05-24T21:00:37.000Z | config.py | benperove/oneliner.sh | 0c6eb25f2dd32cdd5cc275ef5849b5e12c76e9db | [
"Apache-2.0"
] | 1 | 2020-04-10T08:03:16.000Z | 2020-04-10T08:03:16.000Z | import os
#github login
SITE = 'https://api.github.com'
CALLBACK = 'https://oneliner.sh/oauth2'
AUTHORIZE_URL = 'https://github.com/login/oauth/authorize'
TOKEN_URL = 'https://github.com/login/oauth/access_token'
SCOPE = 'user'
#redis config
REDIS_HOST = os.environ['REDIS_HOST']
#REDIS_HOST = ... | 26 | 61 | 0.68552 | 59 | 442 | 4.966102 | 0.627119 | 0.09215 | 0.095563 | 0.116041 | 0.1843 | 0.1843 | 0 | 0 | 0 | 0 | 0 | 0.016484 | 0.176471 | 442 | 16 | 62 | 27.625 | 0.788462 | 0.115385 | 0 | 0 | 0 | 0 | 0.418605 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 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 |
6e4153ef83e21bf087ec6ed89dceeb002c6fc185 | 319 | py | Python | examples/pybullet/examples/signedDistanceField.py | frk2/bullet3 | 225d823e4dc3f952c6c39920c3f87390383e0602 | [
"Zlib"
] | 27 | 2018-05-21T14:28:10.000Z | 2021-12-31T03:12:35.000Z | examples/pybullet/examples/signedDistanceField.py | frk2/bullet3 | 225d823e4dc3f952c6c39920c3f87390383e0602 | [
"Zlib"
] | 1 | 2018-11-19T19:07:47.000Z | 2018-11-19T19:07:47.000Z | examples/pybullet/examples/signedDistanceField.py | frk2/bullet3 | 225d823e4dc3f952c6c39920c3f87390383e0602 | [
"Zlib"
] | 13 | 2019-11-08T12:48:44.000Z | 2022-01-04T04:13:33.000Z | import pybullet as p
import pybullet
import time
p.connect(p.GUI)
p.loadURDF("toys/concave_box.urdf")
p.setGravity(0,0,-10)
for i in range (10):
p.loadURDF("sphere_1cm.urdf",[i*0.02,0,0.5])
p.loadURDF("duck_vhacd.urdf")
timeStep = 1./240.
p.setTimeStep(timeStep)
while (1):
p.stepSimulation()
time.sleep(timeStep)
| 21.266667 | 45 | 0.727273 | 57 | 319 | 4.017544 | 0.561404 | 0.117904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 0.097179 | 319 | 15 | 46 | 21.266667 | 0.732639 | 0 | 0 | 0 | 0 | 0 | 0.159375 | 0.065625 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.214286 | 0 | 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 |
6e415d21c97c8bf5b7c0199061ba4f235f80c0f3 | 2,472 | py | Python | Old/TitleTable.py | StephanM87/Sofie-Herrmann-Praktikum | 3fa7e715061e35aade8eb93756c30ebf10971059 | [
"MIT"
] | null | null | null | Old/TitleTable.py | StephanM87/Sofie-Herrmann-Praktikum | 3fa7e715061e35aade8eb93756c30ebf10971059 | [
"MIT"
] | 2 | 2021-10-04T08:22:40.000Z | 2021-10-05T13:30:02.000Z | Old/TitleTable.py | StephanM87/Sofie-Herrmann-Praktikum | 3fa7e715061e35aade8eb93756c30ebf10971059 | [
"MIT"
] | null | null | null | from pylatex import Document, Tabular, Section, NoEscape, Command, MultiRow
from Old.BioCatHubDatenmodell import DataModel
first_name = "some firstname"
last_name = "some lastname"
e_mail = "some@adress.com"
institution = "some institution"
vessel_type = "some vessel"
volume = int(42)
vol_unit = "mol/l"
add_attributes... | 34.333333 | 76 | 0.552589 | 277 | 2,472 | 4.743682 | 0.33935 | 0.073059 | 0.059361 | 0.054795 | 0.275495 | 0.255708 | 0.097412 | 0 | 0 | 0 | 0 | 0.012995 | 0.315129 | 2,472 | 71 | 77 | 34.816901 | 0.762552 | 0 | 0 | 0.180328 | 0 | 0 | 0.114887 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032787 | false | 0 | 0.032787 | 0 | 0.081967 | 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 |
6e41787cb64edb79c7312a9c056163a1f57400e3 | 535 | py | Python | Lab2/la2_4.py | ThomCruz/ImageAnalysisLab | 6a524696ecf4aab96336931d22ead8e8c9ec9e30 | [
"MIT"
] | null | null | null | Lab2/la2_4.py | ThomCruz/ImageAnalysisLab | 6a524696ecf4aab96336931d22ead8e8c9ec9e30 | [
"MIT"
] | null | null | null | Lab2/la2_4.py | ThomCruz/ImageAnalysisLab | 6a524696ecf4aab96336931d22ead8e8c9ec9e30 | [
"MIT"
] | null | null | null | import cv2
import numpy as np
import matplotlib.pyplot as plt
pic = cv2.imread('image2.png',0)
#pic = imageio.imread('img/parrot.jpg')
gray = lambda rgb : np.dot(rgb[... , :3] , [0.299 , 0.587, 0.114])
gray = gray(pic)
'''
log transform
-> s = c*log(1+r)
So, we calculate constant c to estimate s
-> c = (L-1)/log(1+|... | 20.576923 | 67 | 0.637383 | 96 | 535 | 3.489583 | 0.541667 | 0.047761 | 0.035821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.059603 | 0.153271 | 535 | 25 | 68 | 21.4 | 0.679912 | 0.071028 | 0 | 0 | 0 | 0 | 0.044156 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.25 | 0.083333 | 0.416667 | 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 |
6e45ae2f0c35533b4360de6c8858cfc005287327 | 4,100 | py | Python | metafilter/model/__init__.py | exhuma/metafilter | dfbc01877a3020f7fe58b9fda3e14ed073684f25 | [
"BSD-3-Clause"
] | null | null | null | metafilter/model/__init__.py | exhuma/metafilter | dfbc01877a3020f7fe58b9fda3e14ed073684f25 | [
"BSD-3-Clause"
] | null | null | null | metafilter/model/__init__.py | exhuma/metafilter | dfbc01877a3020f7fe58b9fda3e14ed073684f25 | [
"BSD-3-Clause"
] | null | null | null | from ConfigParser import SafeConfigParser
from cStringIO import StringIO
import sqlalchemy
from sqlalchemy import create_engine
from sqlalchemy import MetaData
from sqlalchemy.orm import sessionmaker
from os.path import sep
from hashlib import md5
from datetime import datetime, timedelta
import re
import logging
impo... | 26.973684 | 83 | 0.621463 | 528 | 4,100 | 4.748106 | 0.354167 | 0.02513 | 0.025927 | 0.01436 | 0.033506 | 0.019146 | 0.019146 | 0.019146 | 0 | 0 | 0 | 0.008286 | 0.264146 | 4,100 | 151 | 84 | 27.152318 | 0.822672 | 0.135122 | 0 | 0.073395 | 0 | 0 | 0.115745 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082569 | false | 0 | 0.155963 | 0 | 0.357798 | 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 |
6e46d398600e4b5a657c138522f24f0eef1938e9 | 3,067 | py | Python | manager/base.py | monocleface/viewer | 8ab47a9e846bd2716fe0208c34f33565513fc3f6 | [
"Apache-2.0"
] | 6 | 2020-02-28T21:18:16.000Z | 2020-03-13T16:45:57.000Z | manager/base.py | monocleface/viewer | 8ab47a9e846bd2716fe0208c34f33565513fc3f6 | [
"Apache-2.0"
] | 6 | 2020-02-28T12:42:52.000Z | 2020-03-16T03:49:09.000Z | manager/base.py | monocleface/viewer | 8ab47a9e846bd2716fe0208c34f33565513fc3f6 | [
"Apache-2.0"
] | 6 | 2020-03-05T13:04:25.000Z | 2020-03-13T16:46:03.000Z | from pathlib import Path
from typing import Union
import yaml
class Config(object):
"""Basic Config Class"""
def __init__(self, cfg_yaml_path:str, root:str=".", data_path:str="./data"):
r"""
Configuration of Settings
Args:
root: root path of project, default="."
... | 29.209524 | 103 | 0.538637 | 369 | 3,067 | 4.355014 | 0.330623 | 0.034848 | 0.034225 | 0.017424 | 0.092097 | 0.047293 | 0.047293 | 0.047293 | 0.047293 | 0 | 0 | 0.004557 | 0.356048 | 3,067 | 104 | 104 | 29.490385 | 0.793418 | 0.345615 | 0 | 0.093023 | 0 | 0 | 0.141081 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.162791 | false | 0 | 0.069767 | 0.023256 | 0.302326 | 0.046512 | 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 |
6e486d2de9698c2208f5c29100b107e8de344209 | 307 | py | Python | 007 - Intro List Comprehension.py/016 - Maior.py | rodrigoviannini/meus_Primeiros_Codigos | 828dec1c4ce06889efd491145e631c30a45e858f | [
"MIT"
] | 2 | 2021-07-22T23:26:54.000Z | 2021-07-22T23:27:27.000Z | 007 - Intro List Comprehension.py/016 - Maior.py | rodrigoviannini/meus_Primeiros_Codigos | 828dec1c4ce06889efd491145e631c30a45e858f | [
"MIT"
] | null | null | null | 007 - Intro List Comprehension.py/016 - Maior.py | rodrigoviannini/meus_Primeiros_Codigos | 828dec1c4ce06889efd491145e631c30a45e858f | [
"MIT"
] | null | null | null | """
List Comprehension Aninhada
OBJ: Encontrar o maior ou os maiores números de uma lista e imprimir outra lista
"""
listaGenerica = [1, 2, 3, 4, 1, 2, 3, 4, 10, 10, 10, 5, 3, -4]
listaMaior = [x for x in listaGenerica if not False in [True if x >= y else False for y in listaGenerica]]
print(listaMaior) | 30.7 | 106 | 0.693811 | 55 | 307 | 3.872727 | 0.636364 | 0.028169 | 0.028169 | 0.037559 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.069106 | 0.198697 | 307 | 10 | 107 | 30.7 | 0.796748 | 0.351792 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.333333 | 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 |
6e487df26dabde97ea3f1c6bd9a631bd068d4b7f | 357 | py | Python | thehardway/practice3.py | sunquan9301/pythonLearn | f10760a4e32c3ac267e39d835c08f45800d081b6 | [
"Apache-2.0"
] | null | null | null | thehardway/practice3.py | sunquan9301/pythonLearn | f10760a4e32c3ac267e39d835c08f45800d081b6 | [
"Apache-2.0"
] | null | null | null | thehardway/practice3.py | sunquan9301/pythonLearn | f10760a4e32c3ac267e39d835c08f45800d081b6 | [
"Apache-2.0"
] | null | null | null | def main():
# age = input("How old are you?")
# print("I am %s year old" % age)
file = open("demo1")
lines = file.readlines()
print("lines",lines)
for i in range(len(lines)):
print(lines[i])
file.close()
c,d = addOne(1,2)
print(c,d)
def addOne(a,b):
return a+1, b+1
i... | 17 | 37 | 0.535014 | 56 | 357 | 3.267857 | 0.589286 | 0.10929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019531 | 0.282913 | 357 | 20 | 38 | 17.85 | 0.695313 | 0.176471 | 0 | 0 | 0 | 0 | 0.061856 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0 | 0.076923 | 0.230769 | 0.230769 | 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 |
6e4b454f9d9a661e964992d4f53efcc35fd88de8 | 651 | py | Python | ipt/td1/3.3-nbracines.py | lucas8/MPSI | edefa2155071910d95633acf87b9f3a9d34f67d3 | [
"MIT"
] | null | null | null | ipt/td1/3.3-nbracines.py | lucas8/MPSI | edefa2155071910d95633acf87b9f3a9d34f67d3 | [
"MIT"
] | null | null | null | ipt/td1/3.3-nbracines.py | lucas8/MPSI | edefa2155071910d95633acf87b9f3a9d34f67d3 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
def nbracines(a, b, c):
if a == 0:
print("Le coefficient dominant est nul, ce n'est pas un trinome !")
return
d = b*b - 4*a*c
k = 2
if abs(d) < 1e-10:
k = 1
d = 0
elif d < 0:
k = 0
print("Le polynome " + str(a) + "X^2 + " + str(b) + "X ... | 28.304348 | 140 | 0.537634 | 108 | 651 | 3.240741 | 0.435185 | 0.111429 | 0.137143 | 0.068571 | 0.165714 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047312 | 0.285714 | 651 | 22 | 141 | 29.590909 | 0.705376 | 0.026114 | 0 | 0 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0 | 0 | 0.111111 | 0.111111 | 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 |
6e52fb33dd28eee7b106bc48ba5c34f08261ca0b | 2,309 | py | Python | src/pynorare/__main__.py | concepticon/pynorare | 3cf5ea2d1597c5acc84963f781ff49d96b4d7e02 | [
"MIT"
] | null | null | null | src/pynorare/__main__.py | concepticon/pynorare | 3cf5ea2d1597c5acc84963f781ff49d96b4d7e02 | [
"MIT"
] | 5 | 2020-07-20T11:05:07.000Z | 2022-03-11T15:51:52.000Z | src/pynorare/__main__.py | concepticon/pynorare | 3cf5ea2d1597c5acc84963f781ff49d96b4d7e02 | [
"MIT"
] | null | null | null | """
Main command line interface to the pynorare package.
"""
import sys
import pathlib
import contextlib
from cldfcatalog import Config, Catalog
from clldutils.clilib import register_subcommands, get_parser_and_subparsers, ParserError, PathType
from clldutils.loglib import Logging
from pyconcepticon import Concepticon... | 32.985714 | 99 | 0.644435 | 285 | 2,309 | 5.105263 | 0.350877 | 0.049485 | 0.080412 | 0.030241 | 0.047423 | 0.034364 | 0 | 0 | 0 | 0 | 0 | 0.003499 | 0.257254 | 2,309 | 69 | 100 | 33.463768 | 0.844898 | 0.129926 | 0 | 0.203704 | 0 | 0 | 0.085384 | 0.014063 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018519 | false | 0 | 0.166667 | 0 | 0.277778 | 0.055556 | 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 |
6e53df58b8e50b1065505ed5b573aa01243270d1 | 12,263 | py | Python | yolov3_deepsort.py | h-enes-simsek/deep_sort_pytorch | 0a9ede55e53355c19455197cc8daa60336c652bb | [
"MIT"
] | 1 | 2021-02-28T15:22:43.000Z | 2021-02-28T15:22:43.000Z | yolov3_deepsort.py | h-enes-simsek/deep_sort_pytorch | 0a9ede55e53355c19455197cc8daa60336c652bb | [
"MIT"
] | null | null | null | yolov3_deepsort.py | h-enes-simsek/deep_sort_pytorch | 0a9ede55e53355c19455197cc8daa60336c652bb | [
"MIT"
] | null | null | null | import os
import cv2
import time
import argparse
import torch
import warnings
import numpy as np
from detector import build_detector
from deep_sort import build_tracker
from utils.draw import draw_boxes
from utils.parser import get_config
from utils.log import get_logger
from utils.io import write_results
from numpy ... | 42.432526 | 149 | 0.572698 | 1,567 | 12,263 | 4.30568 | 0.273133 | 0.0249 | 0.030236 | 0.014229 | 0.249444 | 0.24233 | 0.21165 | 0.17845 | 0.129835 | 0.110271 | 0 | 0.020654 | 0.297236 | 12,263 | 288 | 150 | 42.579861 | 0.762242 | 0.157466 | 0 | 0.181818 | 0 | 0 | 0.058271 | 0.005092 | 0 | 0 | 0 | 0 | 0.017045 | 1 | 0.0625 | false | 0 | 0.079545 | 0.005682 | 0.204545 | 0.017045 | 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 |
280906641aae735ca1d3dbc649fdb86d59c81472 | 1,172 | py | Python | aerosandbox/numpy/array.py | askprash/AeroSandbox | 9e82966a25ced9ce96ca29bae45a4420278f0f1d | [
"MIT"
] | null | null | null | aerosandbox/numpy/array.py | askprash/AeroSandbox | 9e82966a25ced9ce96ca29bae45a4420278f0f1d | [
"MIT"
] | null | null | null | aerosandbox/numpy/array.py | askprash/AeroSandbox | 9e82966a25ced9ce96ca29bae45a4420278f0f1d | [
"MIT"
] | 1 | 2021-09-11T03:28:45.000Z | 2021-09-11T03:28:45.000Z | import numpy as onp
import casadi as cas
def array(object, dtype=None):
try:
a = onp.array(object, dtype=dtype)
if a.dtype == "O":
raise Exception
return a
except (AttributeError, Exception): # If this occurs, it needs to be a CasADi type.
# First, determine the dim... | 25.478261 | 89 | 0.529863 | 139 | 1,172 | 4.453237 | 0.446043 | 0.035541 | 0.051696 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00561 | 0.391638 | 1,172 | 45 | 90 | 26.044444 | 0.862553 | 0.266212 | 0 | 0.129032 | 0 | 0 | 0.001209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.064516 | 0 | 0.387097 | 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 |
280b7ce2e2cb3f65d56ba5e4705455b1cbb3bb0e | 3,283 | py | Python | capspayment/api_payin.py | agorapay/python-sdk | c5b7fd6894f95e6862446248b26c16253c8fd4f4 | [
"MIT"
] | null | null | null | capspayment/api_payin.py | agorapay/python-sdk | c5b7fd6894f95e6862446248b26c16253c8fd4f4 | [
"MIT"
] | null | null | null | capspayment/api_payin.py | agorapay/python-sdk | c5b7fd6894f95e6862446248b26c16253c8fd4f4 | [
"MIT"
] | null | null | null | """
Payin API
"""
from dataclasses import dataclass
from typing import Union
from api_payin_model import (
PayinAdjustPaymentRequest,
PayinCancelRequest,
PayinCancelResponse,
PayinCaptureRequest,
PayinCaptureResponse,
PayinMandateRequest,
PayinMandateResponse,
PayinOrderDetailsRequest,... | 32.186275 | 82 | 0.687786 | 276 | 3,283 | 8.155797 | 0.271739 | 0.053754 | 0.083074 | 0.074634 | 0.175922 | 0.086628 | 0.057308 | 0.057308 | 0 | 0 | 0 | 0 | 0.208955 | 3,283 | 101 | 83 | 32.504951 | 0.866769 | 0.114834 | 0 | 0 | 0 | 0 | 0.078576 | 0.014799 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15493 | false | 0 | 0.070423 | 0 | 0.394366 | 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 |
280c4e3ff6e2c8be5af4beb5882bf9b9cd5ee1c7 | 3,626 | py | Python | script/gen_canonical_combining_class.py | CyberZHG/UChar | e59ee5e3ad166288380407df6d5e6c0fe20681cf | [
"MIT"
] | 1 | 2020-07-15T16:16:20.000Z | 2020-07-15T16:16:20.000Z | script/gen_canonical_combining_class.py | CyberZHG/UChar | e59ee5e3ad166288380407df6d5e6c0fe20681cf | [
"MIT"
] | null | null | null | script/gen_canonical_combining_class.py | CyberZHG/UChar | e59ee5e3ad166288380407df6d5e6c0fe20681cf | [
"MIT"
] | 1 | 2020-06-01T01:15:29.000Z | 2020-06-01T01:15:29.000Z | #!/usr/bin/env python
""" Copyright 2020 Zhao HG
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, ... | 40.741573 | 99 | 0.660232 | 490 | 3,626 | 4.822449 | 0.344898 | 0.144308 | 0.066018 | 0.044012 | 0.274228 | 0.253491 | 0.243335 | 0.195514 | 0.195514 | 0.11934 | 0 | 0.00978 | 0.210425 | 3,626 | 88 | 100 | 41.204545 | 0.815578 | 0.294264 | 0 | 0.285714 | 0 | 0 | 0.386907 | 0.137593 | 0 | 0 | 0 | 0 | 0.017857 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
280cef3837d316af797287a2c5c707f3a00a10c1 | 3,676 | py | Python | server.py | Timothylock/twillio-buzzer-connector | 9ac7e4763a5eee7d04daa054841e17332c0bac13 | [
"Apache-2.0"
] | null | null | null | server.py | Timothylock/twillio-buzzer-connector | 9ac7e4763a5eee7d04daa054841e17332c0bac13 | [
"Apache-2.0"
] | null | null | null | server.py | Timothylock/twillio-buzzer-connector | 9ac7e4763a5eee7d04daa054841e17332c0bac13 | [
"Apache-2.0"
] | null | null | null | from flask import Flask, request
from twilio.twiml.voice_response import VoiceResponse, Gather
import datetime
import os
import json
import http.client
app = Flask(__name__)
allowUntil = datetime.datetime.now()
# Fetch env vars
whitelisted_numbers = os.environ['WHITELISTED_NUMBERS'].split(",") # Numbers allowed to d... | 33.418182 | 121 | 0.639554 | 469 | 3,676 | 4.908316 | 0.360341 | 0.027368 | 0.045178 | 0.050391 | 0.148566 | 0.132059 | 0.108601 | 0.037359 | 0.037359 | 0 | 0 | 0.0074 | 0.227965 | 3,676 | 109 | 122 | 33.724771 | 0.803735 | 0.178727 | 0 | 0.171429 | 0 | 0 | 0.212152 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.085714 | 0 | 0.285714 | 0.014286 | 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 |
2810be0978f433319136f58db93ce028bbbb9a9c | 8,151 | py | Python | cosmos/ingestion/ingest/process/hierarchy_extractor/bert_hierarchy_extractor/train/bert_extractor_trainer.py | ilmcconnell/Cosmos | 84245034727c30e20ffddee9e02c7e96f3aa115e | [
"Apache-2.0"
] | 30 | 2019-03-14T08:24:34.000Z | 2022-03-09T06:05:44.000Z | cosmos/ingestion/ingest/process/hierarchy_extractor/bert_hierarchy_extractor/train/bert_extractor_trainer.py | ilmcconnell/Cosmos | 84245034727c30e20ffddee9e02c7e96f3aa115e | [
"Apache-2.0"
] | 78 | 2019-02-07T22:14:48.000Z | 2022-03-09T05:59:18.000Z | cosmos/ingestion/ingest/process/hierarchy_extractor/bert_hierarchy_extractor/train/bert_extractor_trainer.py | ilmcconnell/Cosmos | 84245034727c30e20ffddee9e02c7e96f3aa115e | [
"Apache-2.0"
] | 11 | 2019-03-02T01:20:06.000Z | 2022-03-25T07:25:46.000Z | from bert_hierarchy_extractor.datasets.train_dataset import TrainHierarchyExtractionDataset
from bert_hierarchy_extractor.datasets.utils import cudafy
from bert_hierarchy_extractor.logging.utils import log_metrics
import numpy as np
from torch.utils.data import DataLoader
from transformers import AdamW, get_linear_sche... | 39.567961 | 104 | 0.585818 | 909 | 8,151 | 5.036304 | 0.220022 | 0.024028 | 0.02097 | 0.017038 | 0.211228 | 0.133246 | 0.103102 | 0.103102 | 0.08519 | 0.08519 | 0 | 0.011881 | 0.328794 | 8,151 | 205 | 105 | 39.760976 | 0.824895 | 0.10514 | 0 | 0.164706 | 0 | 0 | 0.033114 | 0.002934 | 0 | 0 | 0 | 0.004878 | 0 | 1 | 0.023529 | false | 0 | 0.058824 | 0 | 0.1 | 0.076471 | 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 |
28137bb29b2acdc147558b677e97f5e615bea160 | 2,900 | py | Python | adduser.py | Vignesh424/Face-Recognition-Attendance-Python | 5d9c33b64bd41918edc55290a320f73bc4afa4e5 | [
"Apache-2.0"
] | null | null | null | adduser.py | Vignesh424/Face-Recognition-Attendance-Python | 5d9c33b64bd41918edc55290a320f73bc4afa4e5 | [
"Apache-2.0"
] | null | null | null | adduser.py | Vignesh424/Face-Recognition-Attendance-Python | 5d9c33b64bd41918edc55290a320f73bc4afa4e5 | [
"Apache-2.0"
] | null | null | null | import cv2
import os
import sqlite3
import dlib
import re,time
from playsound import playsound
import pyttsx3
cam = cv2.VideoCapture(0)
cam.set(3, 640) # set video width
cam.set(4, 480) # set video height
face_detector = cv2.CascadeClassifier('C:/Users/ACER/Desktop/PROJECT ALL RESOURCE/PROJECT ALL RESOURCE/F... | 43.283582 | 182 | 0.686207 | 412 | 2,900 | 4.803398 | 0.456311 | 0.024255 | 0.036382 | 0.01718 | 0.175846 | 0.175846 | 0.141486 | 0.141486 | 0.141486 | 0.141486 | 0 | 0.024979 | 0.185517 | 2,900 | 66 | 183 | 43.939394 | 0.81287 | 0.206897 | 0 | 0.137931 | 0 | 0.051724 | 0.368967 | 0.087506 | 0 | 0 | 0.001804 | 0 | 0 | 1 | 0 | false | 0 | 0.12069 | 0 | 0.12069 | 0.068966 | 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 |
2814df1e327e7a389483fc7f28c047ef76e86e37 | 8,753 | py | Python | conet/datasets/duke_oct_flat_sp.py | steermomo/conet | 21d60fcb4ab9a01a00aa4d9cd0bdee79ea35cc4b | [
"MIT"
] | null | null | null | conet/datasets/duke_oct_flat_sp.py | steermomo/conet | 21d60fcb4ab9a01a00aa4d9cd0bdee79ea35cc4b | [
"MIT"
] | null | null | null | conet/datasets/duke_oct_flat_sp.py | steermomo/conet | 21d60fcb4ab9a01a00aa4d9cd0bdee79ea35cc4b | [
"MIT"
] | 1 | 2020-05-18T10:05:24.000Z | 2020-05-18T10:05:24.000Z | import multiprocessing as mp
# mp.set_start_method('spawn')
import math
import os
import pickle
import random
from glob import glob
from os import path
import albumentations as alb
import cv2
import numpy as np
import skimage
import torch
import imageio
from albumentations.pytorch import ToTensorV2
from skimage.color... | 30.498258 | 109 | 0.595224 | 1,134 | 8,753 | 4.409171 | 0.207231 | 0.012 | 0.022 | 0.0256 | 0.3316 | 0.2814 | 0.2614 | 0.2546 | 0.2546 | 0.2546 | 0 | 0.033967 | 0.266766 | 8,753 | 286 | 110 | 30.604895 | 0.745092 | 0.31395 | 0 | 0.161765 | 0 | 0 | 0.03956 | 0.007439 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022059 | false | 0 | 0.183824 | 0.007353 | 0.227941 | 0.022059 | 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 |
281720b5fdc07905c3eb03b6c213540b162d5693 | 1,109 | py | Python | tests/config/test_project.py | gaborbernat/toxn | 1ecb1121b3e3dc30b892b0254cb5566048b5d2e7 | [
"MIT"
] | 4 | 2018-04-15T15:12:32.000Z | 2019-06-03T12:41:06.000Z | tests/config/test_project.py | gaborbernat/tox3 | 1ecb1121b3e3dc30b892b0254cb5566048b5d2e7 | [
"MIT"
] | 3 | 2018-03-15T11:06:30.000Z | 2018-04-15T15:17:29.000Z | tests/config/test_project.py | gaborbernat/tox3 | 1ecb1121b3e3dc30b892b0254cb5566048b5d2e7 | [
"MIT"
] | 1 | 2019-09-25T19:53:09.000Z | 2019-09-25T19:53:09.000Z | from io import StringIO
from pathlib import Path
import pytest
from toxn.config import from_toml
@pytest.mark.asyncio
async def test_load_from_io():
content = StringIO("""
[build-system]
requires = ['setuptools >= 38.2.4']
build-backend = 'setuptools:build_meta'
[tool.toxn]
default_tasks = ['py36']
""")
... | 25.790698 | 59 | 0.6844 | 144 | 1,109 | 5.138889 | 0.298611 | 0.097297 | 0.108108 | 0.113514 | 0.675676 | 0.675676 | 0.675676 | 0.675676 | 0.575676 | 0.575676 | 0 | 0.02603 | 0.16862 | 1,109 | 42 | 60 | 26.404762 | 0.776573 | 0 | 0 | 0.588235 | 0 | 0 | 0.35257 | 0.079351 | 0 | 0 | 0 | 0 | 0.235294 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 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 |
2820ef5bc2fdcf7913515a4a45ac8b19c189a6ce | 1,340 | py | Python | longest path in matrix.py | buhuhaha/python | 4ff72ac711f0948ae5bcb0886d68e8df77fe515b | [
"MIT"
] | null | null | null | longest path in matrix.py | buhuhaha/python | 4ff72ac711f0948ae5bcb0886d68e8df77fe515b | [
"MIT"
] | null | null | null | longest path in matrix.py | buhuhaha/python | 4ff72ac711f0948ae5bcb0886d68e8df77fe515b | [
"MIT"
] | null | null | null |
row = [-1, -1, -1, 0, 0, 1, 1, 1]
col = [-1, 0, 1, -1, 1, -1, 0, 1]
def isValid(x, y, mat):
return 0 <= x < len(mat) and 0 <= y < len(mat[0])
def findMaxLength(mat, x, y, previous):
if not isValid(x, y, mat) or chr(ord(previous) + 1) != mat[x][y]:
return 0
max_len = 0
for k in ran... | 20.30303 | 85 | 0.435075 | 200 | 1,340 | 2.835 | 0.27 | 0.084656 | 0.021164 | 0.014109 | 0.326279 | 0.292769 | 0.292769 | 0.292769 | 0.292769 | 0.292769 | 0 | 0.032143 | 0.373134 | 1,340 | 66 | 86 | 20.30303 | 0.642857 | 0 | 0 | 0.285714 | 0 | 0 | 0.08806 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0 | 0.028571 | 0.228571 | 0.028571 | 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 |
28226ec9ea67dad00950fa1852a66dbf14540c2c | 4,653 | py | Python | AnimalProfile/session/batchAnimals.py | AtMostafa/AnimalProfile | 866f55659b80291f840ecacd090afada5f4de674 | [
"MIT"
] | null | null | null | AnimalProfile/session/batchAnimals.py | AtMostafa/AnimalProfile | 866f55659b80291f840ecacd090afada5f4de674 | [
"MIT"
] | null | null | null | AnimalProfile/session/batchAnimals.py | AtMostafa/AnimalProfile | 866f55659b80291f840ecacd090afada5f4de674 | [
"MIT"
] | null | null | null | __all__ = ('get_session_list',
'get_animal_list',
'get_event',
'get_tag_pattern',
'get_pattern_animalList',
'get_current_animals')
import datetime
import logging
from .. import Root
from .. import File
from .. import Profile
from ..Profile import EventProfile
from... | 33.47482 | 119 | 0.663873 | 514 | 4,653 | 5.877432 | 0.223735 | 0.032771 | 0.027805 | 0.029791 | 0.309169 | 0.282688 | 0.266799 | 0.200265 | 0.127772 | 0.127772 | 0 | 0.009445 | 0.249087 | 4,653 | 138 | 120 | 33.717391 | 0.85518 | 0.148077 | 0 | 0.225806 | 0 | 0 | 0.029275 | 0.005699 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0.032258 | 0.075269 | 0 | 0.215054 | 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 |
282403dbaa1f17f6e0d6f80a9faabdc5990009bd | 10,747 | py | Python | IsaacAgent.py | dholmdahl/connect4-1 | cdcd92ee30f45e89a9f01ebc87a8b6d797cc4a81 | [
"MIT"
] | null | null | null | IsaacAgent.py | dholmdahl/connect4-1 | cdcd92ee30f45e89a9f01ebc87a8b6d797cc4a81 | [
"MIT"
] | null | null | null | IsaacAgent.py | dholmdahl/connect4-1 | cdcd92ee30f45e89a9f01ebc87a8b6d797cc4a81 | [
"MIT"
] | null | null | null | from random import choice
from copy import deepcopy
from game_data import GameData
from agents import Agent
import numpy as np
import random
import pickle
import pandas as pd
class IsaacAgent(Agent):
def __init__(self, max_time=2, max_depth=300):
self.max_time = max_time
self.max_depth = max_dept... | 33.902208 | 199 | 0.499209 | 1,472 | 10,747 | 3.460598 | 0.110734 | 0.027091 | 0.031213 | 0.032195 | 0.557126 | 0.522968 | 0.476835 | 0.461327 | 0.439537 | 0.437966 | 0 | 0.052933 | 0.365404 | 10,747 | 317 | 200 | 33.902208 | 0.693988 | 0.215967 | 0 | 0.357576 | 0 | 0 | 0.008225 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.048485 | 0.030303 | 0.272727 | 0.018182 | 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 |
2826bae5797a9d9d95a636c0a99581f2619ca237 | 5,872 | py | Python | algorand-oracle-smart-contracts/src/algorand_oracle.py | damees/algorand-oracle | f7f078f9d153341d1ba546ff66e8afbf2685f114 | [
"MIT"
] | null | null | null | algorand-oracle-smart-contracts/src/algorand_oracle.py | damees/algorand-oracle | f7f078f9d153341d1ba546ff66e8afbf2685f114 | [
"MIT"
] | null | null | null | algorand-oracle-smart-contracts/src/algorand_oracle.py | damees/algorand-oracle | f7f078f9d153341d1ba546ff66e8afbf2685f114 | [
"MIT"
] | null | null | null | from pyteal import *
ADMIN_KEY = Bytes("admin")
WHITELISTED_KEY = Bytes("whitelisted")
REQUESTS_BALANCE_KEY = Bytes("requests_balance")
MAX_BUY_AMOUNT = Int(1000000000)
MIN_BUY_AMOUNT = Int(10000000)
REQUESTS_SELLER = Addr("N5ICVTFKS7RJJHGWWM5QXG2L3BV3GEF6N37D2ZF73O4PCBZCXP4HV3K7CY")
MARKET_EXCHANGE_NOTE = Bytes("alg... | 35.161677 | 111 | 0.547854 | 630 | 5,872 | 4.91746 | 0.263492 | 0.032279 | 0.075533 | 0.046482 | 0.353777 | 0.286959 | 0.212395 | 0.20142 | 0.171724 | 0.100387 | 0 | 0.026601 | 0.340599 | 5,872 | 166 | 112 | 35.373494 | 0.773502 | 0.146628 | 0 | 0.355072 | 0 | 0 | 0.04989 | 0.028652 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.014493 | false | 0 | 0.007246 | 0 | 0.036232 | 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 |
28271eebbca12a80c721021d335930842259d168 | 20,198 | py | Python | custom_components/shelly/__init__.py | astrandb/ShellyForHASS | f404d3007a26945f310a801c6c7d196d7fa1fe23 | [
"MIT"
] | null | null | null | custom_components/shelly/__init__.py | astrandb/ShellyForHASS | f404d3007a26945f310a801c6c7d196d7fa1fe23 | [
"MIT"
] | null | null | null | custom_components/shelly/__init__.py | astrandb/ShellyForHASS | f404d3007a26945f310a801c6c7d196d7fa1fe23 | [
"MIT"
] | null | null | null | """
Support for Shelly smart home devices.
For more details about this component, please refer to the documentation at
https://home-assistant.io/components/shelly/
"""
# pylint: disable=broad-except, bare-except, invalid-name, import-error
from datetime import timedelta
import logging
import time
import as... | 36.003565 | 87 | 0.576839 | 2,383 | 20,198 | 4.591272 | 0.11582 | 0.019834 | 0.030162 | 0.011882 | 0.387625 | 0.319441 | 0.272736 | 0.254913 | 0.230235 | 0.211772 | 0 | 0.001977 | 0.323695 | 20,198 | 560 | 88 | 36.067857 | 0.798975 | 0.130458 | 0 | 0.26615 | 0 | 0 | 0.045417 | 0 | 0 | 0 | 0 | 0.001786 | 0 | 1 | 0.074935 | false | 0.010336 | 0.043928 | 0.005168 | 0.196382 | 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 |