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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
665956b19edea097158d528d01890795f973fee1 | 19,404 | py | Python | app/apps/address/migrations/0001_initial.py | brsrtc/mini-erp-docker | f5c37c71384c76e029a26e89f4771a59ed02f925 | [
"MIT"
] | 1 | 2021-01-18T07:11:31.000Z | 2021-01-18T07:11:31.000Z | app/apps/address/migrations/0001_initial.py | brsrtc/mini-erp-docker | f5c37c71384c76e029a26e89f4771a59ed02f925 | [
"MIT"
] | null | null | null | app/apps/address/migrations/0001_initial.py | brsrtc/mini-erp-docker | f5c37c71384c76e029a26e89f4771a59ed02f925 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.3 on 2020-12-05 17:27
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
import core.cache
| 59.521472 | 93 | 0.44563 |
665bab55df7c6bcde1b85c9c43014205b79501eb | 2,984 | py | Python | pybf/image_settings.py | Sergio5714/pybf | bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc | [
"Apache-2.0"
] | 1 | 2021-11-02T09:54:41.000Z | 2021-11-02T09:54:41.000Z | pybf/image_settings.py | Sergio5714/pybf | bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc | [
"Apache-2.0"
] | null | null | null | pybf/image_settings.py | Sergio5714/pybf | bf56b353cd715c1bdb16d6cbb79aef44e3ef49bc | [
"Apache-2.0"
] | 2 | 2020-04-17T10:50:06.000Z | 2021-11-02T09:54:47.000Z | """
Copyright (C) 2020 ETH Zurich. All rights reserved.
Author: Sergei Vostrikov, ETH Zurich
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/LI... | 31.410526 | 101 | 0.655831 |
665ca8b455ad5fa005ae44eb4ff2f68155d6d9ba | 9,912 | py | Python | pre-receive.d/net.twistedbytes.gitlab-protector.py | andgeno/GitLab-Protector | b05f39a23213bd832cbbf30bc63731aca1fce18d | [
"MIT"
] | 7 | 2020-12-14T10:05:13.000Z | 2021-11-25T15:14:26.000Z | pre-receive.d/net.twistedbytes.gitlab-protector.py | andgeno/GitLab-Protector | b05f39a23213bd832cbbf30bc63731aca1fce18d | [
"MIT"
] | 1 | 2021-04-19T13:47:12.000Z | 2021-04-24T12:39:47.000Z | pre-receive.d/net.twistedbytes.gitlab-protector.py | andgeno/GitLab-Protector | b05f39a23213bd832cbbf30bc63731aca1fce18d | [
"MIT"
] | 1 | 2021-04-19T14:06:54.000Z | 2021-04-19T14:06:54.000Z | #!/usr/bin/env python
import sys
import os
import re
import subprocess
from enum import Enum
GitLabProtector()
| 38.123077 | 161 | 0.602502 |
665d3713837abc4149228da527c02f71d0d908ef | 1,151 | py | Python | tests/test_cli.py | joshbduncan/word-search-generator | 3c527f0371cbe4550a24403c660d1c6511b4cf79 | [
"MIT"
] | 4 | 2021-09-18T21:21:54.000Z | 2022-03-02T03:53:54.000Z | tests/test_cli.py | joshbduncan/word-search-generator | 3c527f0371cbe4550a24403c660d1c6511b4cf79 | [
"MIT"
] | 4 | 2021-09-18T21:50:33.000Z | 2022-03-22T04:29:33.000Z | tests/test_cli.py | joshbduncan/word-search-generator | 3c527f0371cbe4550a24403c660d1c6511b4cf79 | [
"MIT"
] | 1 | 2021-11-17T14:53:50.000Z | 2021-11-17T14:53:50.000Z | import os
import pathlib
import tempfile
TEMP_DIR = tempfile.TemporaryDirectory()
| 26.159091 | 84 | 0.709818 |
665d77836b64427e5626b7f66bfbf1c6d819e02b | 1,167 | py | Python | karas/__init__.py | TuXiaokang/karas | 2549502424b2d4c67047b867b0315f33b2e997c5 | [
"MIT"
] | 3 | 2019-02-28T13:53:48.000Z | 2022-01-18T12:53:37.000Z | karas/__init__.py | TuXiaokang/karas | 2549502424b2d4c67047b867b0315f33b2e997c5 | [
"MIT"
] | null | null | null | karas/__init__.py | TuXiaokang/karas | 2549502424b2d4c67047b867b0315f33b2e997c5 | [
"MIT"
] | 1 | 2022-01-18T12:53:42.000Z | 2022-01-18T12:53:42.000Z | import pickle
from karas.version import __version__
| 22.442308 | 60 | 0.548415 |
665e40e33fdd973b30b29de0d4999dd092a29402 | 681 | py | Python | calc.py | fja05680/calc | 6959bdd740722c7e3024f4e5a9a21607ad5ffccf | [
"MIT"
] | null | null | null | calc.py | fja05680/calc | 6959bdd740722c7e3024f4e5a9a21607ad5ffccf | [
"MIT"
] | null | null | null | calc.py | fja05680/calc | 6959bdd740722c7e3024f4e5a9a21607ad5ffccf | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import calc
if __name__ == '__main__':
main()
| 23.482759 | 46 | 0.444934 |
666446282fcb45a4a20b926c54fc47be65a01ac8 | 8,534 | py | Python | aiida_environ/workflows/pw/grandcanonical.py | environ-developers/aiida-environ | c39ac70227a41e084b74df630c3cb4b4caa27094 | [
"MIT"
] | null | null | null | aiida_environ/workflows/pw/grandcanonical.py | environ-developers/aiida-environ | c39ac70227a41e084b74df630c3cb4b4caa27094 | [
"MIT"
] | 1 | 2021-12-07T17:03:44.000Z | 2021-12-07T17:03:44.000Z | aiida_environ/workflows/pw/grandcanonical.py | environ-developers/aiida-environ | c39ac70227a41e084b74df630c3cb4b4caa27094 | [
"MIT"
] | null | null | null | import numpy as np
from aiida.common import AttributeDict
from aiida.engine import WorkChain, append_
from aiida.orm import Dict, List, StructureData
from aiida.orm.nodes.data.upf import get_pseudos_from_structure
from aiida.orm.utils import load_node
from aiida.plugins import WorkflowFactory
from aiida_quantumespresso... | 44.915789 | 88 | 0.664284 |
6664aaeb4a16b83003b59cd285e9bdc4f631fdb5 | 6,481 | py | Python | tabnet/utils.py | huangyz0918/tabnet | a93d52c6f33e9ea8ad0f152cdaf5a0cabec8e6d4 | [
"MIT"
] | 1 | 2021-06-17T04:47:41.000Z | 2021-06-17T04:47:41.000Z | tabnet/utils.py | huangyz0918/tabnet | a93d52c6f33e9ea8ad0f152cdaf5a0cabec8e6d4 | [
"MIT"
] | null | null | null | tabnet/utils.py | huangyz0918/tabnet | a93d52c6f33e9ea8ad0f152cdaf5a0cabec8e6d4 | [
"MIT"
] | null | null | null | import torch
import numpy as np
import pandas as pd
from collections import OrderedDict
def generate_categorical_to_ordinal_map(inputs):
if isinstance(inputs, pd.Series):
inputs = inputs.values
uq_inputs = np.unique(inputs)
return dict(zip(list(uq_inputs), list(range(len(uq_inputs)))))
def ma... | 33.755208 | 91 | 0.577843 |
6664d9c361d76731e630fab7db18a3314ba27f7a | 699 | py | Python | ex022.py | nascimentobrenda24/PythonExercises | 2055f42a0454ae25cba6a6457c85822eaad2df01 | [
"MIT"
] | 1 | 2021-11-23T21:41:25.000Z | 2021-11-23T21:41:25.000Z | ex022.py | nascimentobrenda24/PythonExercises | 2055f42a0454ae25cba6a6457c85822eaad2df01 | [
"MIT"
] | null | null | null | ex022.py | nascimentobrenda24/PythonExercises | 2055f42a0454ae25cba6a6457c85822eaad2df01 | [
"MIT"
] | null | null | null | # Analisador de textos
# Crie um programa que leia o nome completo de uma pessoa e mostre:
# - O nome com todas as letras maisculas e minsculas.
# - Quantas letras ao todo (sem considerar espaos).
print('=*'*20, 'CADASTRO', '=*'*20)
nome = str(input('Nome Completo:')).strip()#Para ler com letras maisculas
print('Ana... | 34.95 | 102 | 0.703863 |
66654d5cfc565e697020cd64524f69662efe7ca5 | 312 | py | Python | urls.py | stephenmcd/gamblor | a12f43339e2a6d34e4ed5ea3d02a3629ed5b8616 | [
"BSD-2-Clause"
] | 12 | 2015-06-09T02:31:43.000Z | 2021-12-11T21:35:38.000Z | urls.py | binarygrrl/gamblor | a12f43339e2a6d34e4ed5ea3d02a3629ed5b8616 | [
"BSD-2-Clause"
] | null | null | null | urls.py | binarygrrl/gamblor | a12f43339e2a6d34e4ed5ea3d02a3629ed5b8616 | [
"BSD-2-Clause"
] | 9 | 2016-11-14T23:56:51.000Z | 2021-04-14T07:47:44.000Z |
from django.conf.urls.defaults import patterns, include, url
from django.contrib import admin
from core import game
admin.autodiscover()
game.autodiscover()
urlpatterns = patterns("",
("^admin/", include(admin.site.urls)),
url("", include("social_auth.urls")),
url("", include("core.urls")),
)
| 18.352941 | 60 | 0.692308 |
666552755de681921ce121bf7878b38237804c08 | 3,258 | py | Python | DCGAN/train.py | drone911/Mnist-GANs | 6b5ffc6ecf5070522ebcb6a41374cfffd674b684 | [
"MIT"
] | null | null | null | DCGAN/train.py | drone911/Mnist-GANs | 6b5ffc6ecf5070522ebcb6a41374cfffd674b684 | [
"MIT"
] | null | null | null | DCGAN/train.py | drone911/Mnist-GANs | 6b5ffc6ecf5070522ebcb6a41374cfffd674b684 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Fri Sep 13 20:11:22 2019
@author: drone911
"""
from helper import *
from models import *
import numpy as np
from keras.datasets import mnist
from tqdm import tqdm
import warnings
if __name__=="__main__":
warnings.filterwarnings("ignore")
(train_images, train_lab... | 41.240506 | 116 | 0.612339 |
6666b27d9a32939d312fcb0f1e04eb3582ec3f56 | 275 | py | Python | 03 - Types/3.2 - InbuiltTypes-ListsTuples/07-method-errors-index.py | python-demo-codes/basics | 2a151bbff4b528cefd52978829c632fd087c8f20 | [
"DOC"
] | 2 | 2019-08-23T06:05:55.000Z | 2019-08-26T03:56:07.000Z | 03 - Types/3.2 - InbuiltTypes-ListsTuples/07-method-errors-index.py | python-lang-codes/basics | 2a151bbff4b528cefd52978829c632fd087c8f20 | [
"DOC"
] | null | null | null | 03 - Types/3.2 - InbuiltTypes-ListsTuples/07-method-errors-index.py | python-lang-codes/basics | 2a151bbff4b528cefd52978829c632fd087c8f20 | [
"DOC"
] | 4 | 2020-10-01T07:16:07.000Z | 2021-07-17T07:55:08.000Z | # HEAD
# DataType - List method -index() Usage Error
# DESCRIPTION
# Describes index method of lists
# and its error incase item is not there
# RESOURCES
#
lists = ['hello', 'hi', 'howdy', 'heyas']
# returns an error - ValueError
print(lists.index('hello hello'))
| 21.153846 | 46 | 0.676364 |
6667684709a7e3192cfea4fd79e3ee7e997e694d | 2,418 | py | Python | Model/predictor-dl-model/tests/experiments/7day_variance_uckey_weight_in_slotid.py | rangaswamymr/blue-marlin | 2ab39a6af01e14f40386f640fe087aeb284b5524 | [
"Apache-2.0"
] | null | null | null | Model/predictor-dl-model/tests/experiments/7day_variance_uckey_weight_in_slotid.py | rangaswamymr/blue-marlin | 2ab39a6af01e14f40386f640fe087aeb284b5524 | [
"Apache-2.0"
] | null | null | null | Model/predictor-dl-model/tests/experiments/7day_variance_uckey_weight_in_slotid.py | rangaswamymr/blue-marlin | 2ab39a6af01e14f40386f640fe087aeb284b5524 | [
"Apache-2.0"
] | null | null | null | from pyspark import SparkContext, SparkConf, SQLContext
from pyspark.sql.functions import count, lit, col, udf, expr, collect_list, explode
from pyspark.sql.types import IntegerType, StringType, MapType, ArrayType, BooleanType, FloatType
from pyspark.sql import HiveContext
from datetime import datetime, timedelta
from ... | 37.78125 | 158 | 0.706369 |
66698e346f68c9e447122b0d937db33190f58a61 | 4,443 | py | Python | tests/test_metrohash.py | thihara/pyfasthash | 20a53f9bb7bf15f98e3e549f523b49e1e0f62e15 | [
"Apache-2.0"
] | 234 | 2015-02-05T13:41:58.000Z | 2022-03-30T08:55:23.000Z | tests/test_metrohash.py | thihara/pyfasthash | 20a53f9bb7bf15f98e3e549f523b49e1e0f62e15 | [
"Apache-2.0"
] | 50 | 2015-03-19T05:53:34.000Z | 2022-03-30T16:20:17.000Z | tests/test_metrohash.py | thihara/pyfasthash | 20a53f9bb7bf15f98e3e549f523b49e1e0f62e15 | [
"Apache-2.0"
] | 44 | 2015-04-23T18:51:43.000Z | 2022-03-30T21:07:57.000Z | import pytest
import pyhash
| 39.669643 | 83 | 0.765699 |
66698ee5453f94b084a237ee9ea9e607d1b0395c | 9,922 | py | Python | main_fed.py | berserkersss/FL_CNN_Diff_Acc | f78651b426ff700108b62f2afbd99134b30af1e6 | [
"MIT"
] | null | null | null | main_fed.py | berserkersss/FL_CNN_Diff_Acc | f78651b426ff700108b62f2afbd99134b30af1e6 | [
"MIT"
] | null | null | null | main_fed.py | berserkersss/FL_CNN_Diff_Acc | f78651b426ff700108b62f2afbd99134b30af1e6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import copy
import numpy as np
from torchvision import datasets, transforms
import torch
import math
from utils.sampling import mnist_iid, mnist_noniid, cifar_iid
from utils.opti... | 36.884758 | 141 | 0.651078 |
666a08a2699afb54d288c230c2b9f22bf4716df5 | 1,375 | py | Python | scaner/controllers/communities.py | dearbornlavern/scaner | 401de0ec7caef5c5a23aedec106db136bd4e4658 | [
"Apache-2.0"
] | 12 | 2016-09-30T12:43:44.000Z | 2022-02-17T17:17:02.000Z | scaner/controllers/communities.py | dearbornlavern/scaner | 401de0ec7caef5c5a23aedec106db136bd4e4658 | [
"Apache-2.0"
] | null | null | null | scaner/controllers/communities.py | dearbornlavern/scaner | 401de0ec7caef5c5a23aedec106db136bd4e4658 | [
"Apache-2.0"
] | 7 | 2016-09-28T09:48:48.000Z | 2020-05-15T04:56:11.000Z | from flask import current_app
from scaner.utils import add_metadata
import json
# PRUEBA EXTRACION USUARIOS
# @add_metadata()
# def get(userId, fields=None, *args, **kwargs):
# #get_task = current_app.tasks.get_users_from_twitter.delay()
# get_task = current_app.tasks.execute_metrics.delay()
# return {'res... | 39.285714 | 87 | 0.749818 |
666ce6df66f28481199af4b25376a59418b9191f | 395 | py | Python | cct/cases/create_snapshot.py | LmangoLemon/mind | 1b269acca41f840c5c71cb6c92ec92ecfb977ad4 | [
"Apache-2.0"
] | null | null | null | cct/cases/create_snapshot.py | LmangoLemon/mind | 1b269acca41f840c5c71cb6c92ec92ecfb977ad4 | [
"Apache-2.0"
] | null | null | null | cct/cases/create_snapshot.py | LmangoLemon/mind | 1b269acca41f840c5c71cb6c92ec92ecfb977ad4 | [
"Apache-2.0"
] | null | null | null | import logging
from time import sleep
from cct.case import Case
logger = logging.getLogger(__file__)
| 17.173913 | 62 | 0.668354 |
666d3c5b51416d64a4d8d00ca1cc2533f85b4bf8 | 296 | py | Python | venv/Lib/site-packages/IPython/terminal/ptshell.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 6,989 | 2017-07-18T06:23:18.000Z | 2022-03-31T15:58:36.000Z | venv/Lib/site-packages/IPython/terminal/ptshell.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 1,978 | 2017-07-18T09:17:58.000Z | 2022-03-31T14:28:43.000Z | venv/Lib/site-packages/IPython/terminal/ptshell.py | ajayiagbebaku/NFL-Model | afcc67a85ca7138c58c3334d45988ada2da158ed | [
"MIT"
] | 1,228 | 2017-07-18T09:03:13.000Z | 2022-03-29T05:57:40.000Z | raise DeprecationWarning("""DEPRECATED:
After Popular request and decision from the BDFL:
`IPython.terminal.ptshell` has been moved back to `IPython.terminal.interactiveshell`
during the beta cycle (after IPython 5.0.beta3) Sorry about that.
This file will be removed in 5.0 rc or final.
""")
| 32.888889 | 85 | 0.777027 |
6670c507913d776c7f3759690ef2c0ab2aa02880 | 591 | py | Python | ex078.py | raquelEllem/exerciciosPython | 489c2360de84c69dbe9da7710660fb064cd605fa | [
"MIT"
] | null | null | null | ex078.py | raquelEllem/exerciciosPython | 489c2360de84c69dbe9da7710660fb064cd605fa | [
"MIT"
] | null | null | null | ex078.py | raquelEllem/exerciciosPython | 489c2360de84c69dbe9da7710660fb064cd605fa | [
"MIT"
] | null | null | null | lista = []
for n in range(0, 5):
lista.append(int(input(f'Digite um valor para a posio {n}: ')))
print('=-=' * 10)
print(f'Voc digitou os valores {lista}')
maior = lista[0]
menor = lista[0]
for n in lista:
if maior < n:
maior = n
if menor > n:
menor = n
print(f'O maior valor digitado foi {m... | 26.863636 | 69 | 0.575296 |
6674228e20201842275a8416c646d65895ba336f | 6,461 | py | Python | chb/x86/opcodes/X86RotateLeftCF.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | chb/x86/opcodes/X86RotateLeftCF.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | chb/x86/opcodes/X86RotateLeftCF.py | kestreltechnology/CodeHawk-Binary | aa0b2534e0318e5fb3770ec7b4d78feb0feb2394 | [
"MIT"
] | null | null | null | # ------------------------------------------------------------------------------
# CodeHawk Binary Analyzer
# Author: Henny Sipma
# ------------------------------------------------------------------------------
# The MIT License (MIT)
#
# Copyright (c) 2016-2020 Kestrel Technology LLC
# Copyright (c) 2020 Henny Si... | 40.130435 | 80 | 0.629005 |
6674ff922f4c82dfa03dc7390843f76b68565580 | 283 | py | Python | error_handlers/access_token.py | Egor2005l/cho | c7cb165394089b277be5c306edde0b8fb42e466d | [
"MIT"
] | null | null | null | error_handlers/access_token.py | Egor2005l/cho | c7cb165394089b277be5c306edde0b8fb42e466d | [
"MIT"
] | null | null | null | error_handlers/access_token.py | Egor2005l/cho | c7cb165394089b277be5c306edde0b8fb42e466d | [
"MIT"
] | null | null | null | from asyncio import sleep
from vkbottle.exceptions import VKError
from vkbottle.framework.blueprint.user import Blueprint
user = Blueprint(
name='access_token_error_blueprint'
)
| 20.214286 | 56 | 0.756184 |
667689203557923536a76893ffda9eef2e58e85a | 2,135 | py | Python | test_challenges.py | UPstartDeveloper/Graph-Applications | 45a3fa83f9e3fff243be35dd169edfcfd020f1a1 | [
"MIT"
] | null | null | null | test_challenges.py | UPstartDeveloper/Graph-Applications | 45a3fa83f9e3fff243be35dd169edfcfd020f1a1 | [
"MIT"
] | null | null | null | test_challenges.py | UPstartDeveloper/Graph-Applications | 45a3fa83f9e3fff243be35dd169edfcfd020f1a1 | [
"MIT"
] | null | null | null | import challenges
import unittest
if __name__ == '__main__':
unittest.main() | 26.6875 | 79 | 0.516628 |
66769c379769d62d8db4f6ca3c7ed84d674f3460 | 1,293 | py | Python | 2020-08-month-long-challenge/day06.py | jkbockstael/leetcode | 8ef5c907fb153c37dc97f6524493ceca2044ea38 | [
"Unlicense"
] | null | null | null | 2020-08-month-long-challenge/day06.py | jkbockstael/leetcode | 8ef5c907fb153c37dc97f6524493ceca2044ea38 | [
"Unlicense"
] | null | null | null | 2020-08-month-long-challenge/day06.py | jkbockstael/leetcode | 8ef5c907fb153c37dc97f6524493ceca2044ea38 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
# Day 6: Find All Duplicates in an Array
#
# Given an array of integers, 1 a[i] n (n = size of array), some elements
# appear twice and others appear once.
# Find all the elements that appear twice in this array.
# Could you do it without extra space and in O(n) runtime?
# Test
assert Solutio... | 40.40625 | 79 | 0.608662 |
66776ed63d7e38eb38a9559cc44798e48137c63c | 10,519 | py | Python | napari/_vispy/experimental/tiled_image_visual.py | harripj/napari | 7a284b1efeb14b1f812f0d98c608f70f0dd66ad2 | [
"BSD-3-Clause"
] | null | null | null | napari/_vispy/experimental/tiled_image_visual.py | harripj/napari | 7a284b1efeb14b1f812f0d98c608f70f0dd66ad2 | [
"BSD-3-Clause"
] | null | null | null | napari/_vispy/experimental/tiled_image_visual.py | harripj/napari | 7a284b1efeb14b1f812f0d98c608f70f0dd66ad2 | [
"BSD-3-Clause"
] | null | null | null | """TiledImageVisual class
A visual that draws tiles using a texture atlas.
"""
from typing import List, Set
import numpy as np
from ...layers.image.experimental.octree_util import OctreeChunk
from ..vendored import ImageVisual
from ..vendored.image import _build_color_transform
from .texture_atlas import TextureAtla... | 35.537162 | 79 | 0.64027 |
6683c0d1956dae22490efd4a21cbb16c9e118a7c | 339 | py | Python | tf_prac.py | akapoorx00/machinelearning-stuff | 53184019b77d3387fd15b13d3bfa75529b8ed003 | [
"Apache-2.0"
] | null | null | null | tf_prac.py | akapoorx00/machinelearning-stuff | 53184019b77d3387fd15b13d3bfa75529b8ed003 | [
"Apache-2.0"
] | null | null | null | tf_prac.py | akapoorx00/machinelearning-stuff | 53184019b77d3387fd15b13d3bfa75529b8ed003 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
x = tf.constant(35, name='x')
print(x)
y = tf.Variable(x+5, name='y')
with tf.Session() as session:
merged = tf.summary.merge_all()
writer = tf.summary.FileWriter("output", session.graph)
model = tf.global_variables_initializer()
session.run(model)
print (session.run(y))
... | 21.1875 | 59 | 0.672566 |
6683d7523bb35e6eea7af58dcc94e299c8b5221f | 523 | py | Python | patterns/adapter/app.py | mattskone/head-first-design-patterns | 3f0d3a5c39475b418f09e2c45505f88fa673dd41 | [
"MIT"
] | null | null | null | patterns/adapter/app.py | mattskone/head-first-design-patterns | 3f0d3a5c39475b418f09e2c45505f88fa673dd41 | [
"MIT"
] | 1 | 2015-01-13T17:19:19.000Z | 2015-03-11T16:02:28.000Z | patterns/adapter/app.py | mattskone/head-first-design-patterns | 3f0d3a5c39475b418f09e2c45505f88fa673dd41 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from implementations import MallardDuck, WildTurkey, TurkeyAdapter
if __name__ == '__main__':
d = MallardDuck()
print '\nThe Duck says...'
d.quack()
d.fly()
t = WildTurkey()
print '\nThe Turkey says...'
t.gobble()
t.fly()
# Now we use the adapter to show how... | 23.772727 | 67 | 0.625239 |
66849fe8ffb1c558532c4307c57805110b8abc4c | 134 | py | Python | app/config/task.py | atulmishra-one/dairy_management_portal | a07320dc0f4419d4c78f7d2453c63b1c9544aba8 | [
"MIT"
] | 2 | 2020-08-02T10:06:19.000Z | 2022-03-29T06:10:57.000Z | app/config/task.py | atulmishra-one/dairy_management_portal | a07320dc0f4419d4c78f7d2453c63b1c9544aba8 | [
"MIT"
] | null | null | null | app/config/task.py | atulmishra-one/dairy_management_portal | a07320dc0f4419d4c78f7d2453c63b1c9544aba8 | [
"MIT"
] | 2 | 2019-02-03T15:44:02.000Z | 2021-03-09T07:30:28.000Z | CELERY_BROKER_URL = 'redis://localhost:6379/0'
CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
CELERY_IMPORTS=('app.users.tasks') | 26.8 | 50 | 0.768657 |
6684d6354c57bdba0d562fbf5c959a7bb01edb22 | 5,697 | py | Python | GCR.py | goodot/character-recognition | 71cd3664670ec2d672d344e8b1842ce3c3ff47d5 | [
"Apache-2.0"
] | 1 | 2019-04-25T10:34:21.000Z | 2019-04-25T10:34:21.000Z | GCR.py | goodot/character-recognition | 71cd3664670ec2d672d344e8b1842ce3c3ff47d5 | [
"Apache-2.0"
] | null | null | null | GCR.py | goodot/character-recognition | 71cd3664670ec2d672d344e8b1842ce3c3ff47d5 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from PIL import Image
from numpy import array
import sqlite3
import tkMessageBox
import matplotlib.pyplot as plt
from pybrain.tools.shortcuts import buildNetwork
from pybrain.datasets import SupervisedDataSet
from pybrain.supervised.trainers import BackpropTrainer
from pybrain.structure.module... | 22.429134 | 110 | 0.566438 |
6686b772848e4502d8bad3bd405870762f442216 | 2,966 | py | Python | grano/logic/projects.py | ANCIR/grano | cee2ec1974df5df2bc6ed5e214f6bd5d201397a4 | [
"MIT"
] | 30 | 2018-08-23T15:42:17.000Z | 2021-11-16T13:11:36.000Z | grano/logic/projects.py | ANCIR/grano | cee2ec1974df5df2bc6ed5e214f6bd5d201397a4 | [
"MIT"
] | null | null | null | grano/logic/projects.py | ANCIR/grano | cee2ec1974df5df2bc6ed5e214f6bd5d201397a4 | [
"MIT"
] | 5 | 2019-05-30T11:36:53.000Z | 2021-08-11T16:17:14.000Z | import colander
from datetime import datetime
from grano.core import app, db, celery
from grano.logic.validation import database_name
from grano.logic.references import AccountRef
from grano.plugins import notify_plugins
from grano.model import Project
def save(data, project=None):
""" Create or update a proje... | 31.892473 | 76 | 0.650371 |
6686c68bcf9dc01f99b52c42230df5b834e570c1 | 63 | py | Python | code/yahoo_procon2019_qual_a_02.py | KoyanagiHitoshi/AtCoder | 731892543769b5df15254e1f32b756190378d292 | [
"MIT"
] | 3 | 2019-08-16T16:55:48.000Z | 2021-04-11T10:21:40.000Z | code/yahoo_procon2019_qual_a_02.py | KoyanagiHitoshi/AtCoder | 731892543769b5df15254e1f32b756190378d292 | [
"MIT"
] | null | null | null | code/yahoo_procon2019_qual_a_02.py | KoyanagiHitoshi/AtCoder | 731892543769b5df15254e1f32b756190378d292 | [
"MIT"
] | null | null | null | N,K=map(int,input().split())
print("YES" if N>=2*K-1 else "NO") | 31.5 | 34 | 0.603175 |
668a69950d894c5be476b21543db749add8b52d5 | 180 | py | Python | allauth/socialaccount/providers/pivotaltracker/urls.py | rawjam/django-allauth | 2daa33178aa1ab749581c494f4c39e1c72ad5c7b | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/pivotaltracker/urls.py | rawjam/django-allauth | 2daa33178aa1ab749581c494f4c39e1c72ad5c7b | [
"MIT"
] | null | null | null | allauth/socialaccount/providers/pivotaltracker/urls.py | rawjam/django-allauth | 2daa33178aa1ab749581c494f4c39e1c72ad5c7b | [
"MIT"
] | null | null | null | from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns
from provider import PivotalTrackerProvider
urlpatterns = default_urlpatterns(PivotalTrackerProvider)
| 30 | 75 | 0.888889 |
668cea27bdbc4f6209d2380260dbf5312ca4bad1 | 2,944 | py | Python | Dorta/sales_modification/wizard/sale_order_popup.py | aaparicio87/Odoo12 | 25cfc349b2e85fa1b5f5846ffe693029f77b3b7d | [
"MIT"
] | null | null | null | Dorta/sales_modification/wizard/sale_order_popup.py | aaparicio87/Odoo12 | 25cfc349b2e85fa1b5f5846ffe693029f77b3b7d | [
"MIT"
] | null | null | null | Dorta/sales_modification/wizard/sale_order_popup.py | aaparicio87/Odoo12 | 25cfc349b2e85fa1b5f5846ffe693029f77b3b7d | [
"MIT"
] | null | null | null | from odoo import fields, models, api, _
from odoo.exceptions import UserError
| 42.057143 | 116 | 0.567935 |
668da6a3dfe98b38ca927b8c9945a7980761c6b8 | 830 | py | Python | tyson-py/udp-echo.py | asheraryam/tyson | 44317a4e3367ef4958c3bb8d3ad538a3908a4566 | [
"MIT"
] | null | null | null | tyson-py/udp-echo.py | asheraryam/tyson | 44317a4e3367ef4958c3bb8d3ad538a3908a4566 | [
"MIT"
] | null | null | null | tyson-py/udp-echo.py | asheraryam/tyson | 44317a4e3367ef4958c3bb8d3ad538a3908a4566 | [
"MIT"
] | null | null | null | """UDP hole punching server."""
from twisted.internet.protocol import DatagramProtocol
from twisted.internet import reactor
import sys
DEFAULT_PORT = 4000
if __name__ == '__main__':
if len(sys.argv) < 2:
print("Usage: ./server.py PORT")
port = DEFAULT_PORT
# sys.exit(1)
else:
... | 28.62069 | 73 | 0.631325 |
668e417b3a6306ecd6bbd0fcf013eefd855c3921 | 12,972 | py | Python | src/fhir_types/FHIR_StructureMap_Source.py | anthem-ai/fhir-types | 42348655fb3a9b3f131b911d6bc0782da8c14ce4 | [
"Apache-2.0"
] | 2 | 2022-02-03T00:51:30.000Z | 2022-02-03T18:42:43.000Z | src/fhir_types/FHIR_StructureMap_Source.py | anthem-ai/fhir-types | 42348655fb3a9b3f131b911d6bc0782da8c14ce4 | [
"Apache-2.0"
] | null | null | null | src/fhir_types/FHIR_StructureMap_Source.py | anthem-ai/fhir-types | 42348655fb3a9b3f131b911d6bc0782da8c14ce4 | [
"Apache-2.0"
] | null | null | null | from typing import Any, List, Literal, TypedDict
from .FHIR_Address import FHIR_Address
from .FHIR_Age import FHIR_Age
from .FHIR_Annotation import FHIR_Annotation
from .FHIR_Attachment import FHIR_Attachment
from .FHIR_CodeableConcept import FHIR_CodeableConcept
from .FHIR_Coding import FHIR_Coding
from .FHIR_Contact... | 56.4 | 836 | 0.712458 |
668f3e390bdd48e5a8dc955598a92ec70a35392d | 2,484 | py | Python | ip/ip/ecommerce/views.py | SuryaVamsiKrishna/Inner-Pieces | deb9e83af891dac58966230446a5a32fe10e86f2 | [
"MIT"
] | 1 | 2021-02-17T06:06:50.000Z | 2021-02-17T06:06:50.000Z | ip/ip/ecommerce/views.py | SuryaVamsiKrishna/Inner-Pieces | deb9e83af891dac58966230446a5a32fe10e86f2 | [
"MIT"
] | null | null | null | ip/ip/ecommerce/views.py | SuryaVamsiKrishna/Inner-Pieces | deb9e83af891dac58966230446a5a32fe10e86f2 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from .models import *
from .forms import address_form
from django.http import JsonResponse
from .utils import cartData,guestobj
import json,datetime
| 28.883721 | 84 | 0.67029 |
6690a37ed9d0e2c4e7eeabdedc6f1bdca84bc1a4 | 2,899 | py | Python | ecogdata/expconfig/config_decode.py | miketrumpis/ecogdata | ff65820198e69608634c12686a86b97ac3a77558 | [
"BSD-3-Clause"
] | null | null | null | ecogdata/expconfig/config_decode.py | miketrumpis/ecogdata | ff65820198e69608634c12686a86b97ac3a77558 | [
"BSD-3-Clause"
] | null | null | null | ecogdata/expconfig/config_decode.py | miketrumpis/ecogdata | ff65820198e69608634c12686a86b97ac3a77558 | [
"BSD-3-Clause"
] | null | null | null | import os
from ecogdata.util import Bunch
__all__ = ['Parameter', 'TypedParam', 'BoolOrNum', 'NSequence', 'NoneOrStr', 'Path', 'parse_param',
'uniform_bunch_case']
def parse_param(name, command, table):
p = table.get(name.lower(), Parameter)(command)
return p.value()
def uniform_bunch_cas... | 25.883929 | 99 | 0.58089 |
66941e3ed65b1efe5312473285b552d665a56ecc | 29,897 | py | Python | lpjguesstools/lgt_createinput/main.py | lukasbaumbach/lpjguesstools | f7cc14c2931b4ac9a3b8dddc89c469b8fedd42e3 | [
"BSD-3-Clause"
] | 2 | 2020-08-03T11:33:00.000Z | 2021-07-05T21:00:46.000Z | lpjguesstools/lgt_createinput/main.py | lukasbaumbach/lpjguesstools | f7cc14c2931b4ac9a3b8dddc89c469b8fedd42e3 | [
"BSD-3-Clause"
] | 8 | 2020-08-03T12:45:31.000Z | 2021-02-23T19:51:32.000Z | lpjguesstools/lgt_createinput/main.py | lukasbaumbach/lpjguesstools | f7cc14c2931b4ac9a3b8dddc89c469b8fedd42e3 | [
"BSD-3-Clause"
] | 2 | 2020-08-03T12:11:43.000Z | 2022-01-29T10:59:00.000Z | """FILE lgt_createinput.main.py
This script creates condensed LPJ netcdf files
for landforms and soil properties
landforms.nc:
- lfcnt (landid) number of landforms in cell
- frac (landid, lfid/ standid) area fraction this landform represents
- slope (landid, lfid/ standid)
- elevation (landid, lfid/ standid) avg... | 36.282767 | 135 | 0.596247 |
66942000229050463aff5906c4c70265c74740a1 | 4,379 | py | Python | html_parsing/www_dns_shop_ru/check_update_price_date__QWebEnginePage_bs4.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | html_parsing/www_dns_shop_ru/check_update_price_date__QWebEnginePage_bs4.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | html_parsing/www_dns_shop_ru/check_update_price_date__QWebEnginePage_bs4.py | DazEB2/SimplePyScripts | 1dde0a42ba93fe89609855d6db8af1c63b1ab7cc | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
""" http://www.dns-shop.ru/"""
# # http://stackoverflow.com/a/37755811/5909792
# def get_html(url, check_content_func=None):
# # from PyQt5.QtCore import QUrl
# # from PyQt5.QtWidgets import QApplication
# # from PyQt5.QtWe... | 26.70122 | 78 | 0.58575 |
6696f698bff747564601f269987739a28d5abfe1 | 12,918 | py | Python | tests/test_adapters.py | Shelestova-Anastasia/cutadapt | 6e239b3b8e20d17fdec041dc1d967ec2a3cfe770 | [
"MIT"
] | null | null | null | tests/test_adapters.py | Shelestova-Anastasia/cutadapt | 6e239b3b8e20d17fdec041dc1d967ec2a3cfe770 | [
"MIT"
] | null | null | null | tests/test_adapters.py | Shelestova-Anastasia/cutadapt | 6e239b3b8e20d17fdec041dc1d967ec2a3cfe770 | [
"MIT"
] | null | null | null | import pytest
from dnaio import Sequence
from cutadapt.adapters import (
RemoveAfterMatch,
RemoveBeforeMatch,
FrontAdapter,
BackAdapter,
PrefixAdapter,
SuffixAdapter,
LinkedAdapter,
MultipleAdapters,
IndexedPrefixAdapters,
IndexedSuffixAdapters,
)
def test_linke... | 27.780645 | 88 | 0.618517 |
66992cf30daf9b3de5a678f20db0b9dc5b3fafdf | 7,561 | py | Python | archABM/event_model.py | vishalbelsare/ArchABM | 4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873 | [
"MIT"
] | 8 | 2021-07-19T11:54:00.000Z | 2022-03-29T01:45:07.000Z | archABM/event_model.py | vishalbelsare/ArchABM | 4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873 | [
"MIT"
] | null | null | null | archABM/event_model.py | vishalbelsare/ArchABM | 4a5ed9506ba96c38e1f3d7f53d6e469f28fe6873 | [
"MIT"
] | 1 | 2021-08-19T23:56:56.000Z | 2021-08-19T23:56:56.000Z | import copy
import random
from .parameters import Parameters
def new(self):
"""Generates a :class:`~archABM.event_model.EventModel` copy, with reset count and noise
Returns:
EventModel: cloned instance
"""
self.count = 0
self.noise = None
return copy.co... | 33.455752 | 112 | 0.547943 |
669c0767b2a56157d94adbe410e078a0a3045bd9 | 13,297 | py | Python | tests/test_photokit.py | oPromessa/osxphotos | 0d7e324f0262093727147b9f22ed275e962e8725 | [
"MIT"
] | 656 | 2019-08-14T14:10:44.000Z | 2022-03-28T15:25:42.000Z | tests/test_photokit.py | oPromessa/osxphotos | 0d7e324f0262093727147b9f22ed275e962e8725 | [
"MIT"
] | 557 | 2019-10-14T19:00:02.000Z | 2022-03-28T00:48:30.000Z | tests/test_photokit.py | oPromessa/osxphotos | 0d7e324f0262093727147b9f22ed275e962e8725 | [
"MIT"
] | 58 | 2019-12-27T01:39:33.000Z | 2022-02-26T22:18:49.000Z | """ test photokit.py methods """
import os
import pathlib
import tempfile
import pytest
from osxphotos.photokit import (
LivePhotoAsset,
PhotoAsset,
PhotoLibrary,
VideoAsset,
PHOTOS_VERSION_CURRENT,
PHOTOS_VERSION_ORIGINAL,
PHOTOS_VERSION_UNADJUSTED,
)
skip_test = "OSXPHOTOS_TEST_EXPORT"... | 31.360849 | 88 | 0.670828 |
669c4ded1d39066ae7e38bea807e79c4ad3272ab | 2,764 | py | Python | parse_json_script/lib_parse_json.py | amane-uehara/fitbit-fetcher | 2a949016933dbcac5f949c8b552c7998b2aadd8c | [
"MIT"
] | null | null | null | parse_json_script/lib_parse_json.py | amane-uehara/fitbit-fetcher | 2a949016933dbcac5f949c8b552c7998b2aadd8c | [
"MIT"
] | null | null | null | parse_json_script/lib_parse_json.py | amane-uehara/fitbit-fetcher | 2a949016933dbcac5f949c8b552c7998b2aadd8c | [
"MIT"
] | null | null | null | import os
import sys
import json
| 23.827586 | 102 | 0.599132 |
669d3d5f4966f2fc9848beb0d7bd023a928904e0 | 4,251 | py | Python | utils/tfds_preprocess.py | chansoopark98/tf_keras-Unknown-grasping | be0f68280ba0b293940a08732fd4a31e89a272cd | [
"MIT"
] | null | null | null | utils/tfds_preprocess.py | chansoopark98/tf_keras-Unknown-grasping | be0f68280ba0b293940a08732fd4a31e89a272cd | [
"MIT"
] | null | null | null | utils/tfds_preprocess.py | chansoopark98/tf_keras-Unknown-grasping | be0f68280ba0b293940a08732fd4a31e89a272cd | [
"MIT"
] | null | null | null | import tensorflow as tf
import tensorflow_datasets as tfds
import numpy as np
import random
from utils.dataset_processing import grasp, image
import matplotlib.pyplot as plt
dataset_path = './tfds/'
train_data, meta = tfds.load('Jacquard', split='train', with_info=True, shuffle_files=False)
BATCH_SIZE = 1
number_trai... | 26.735849 | 139 | 0.604799 |
669f60ed987d448932641383a9784e17ffb52883 | 836 | py | Python | tests/scheduler_test.py | peng4217/scylla | aa5133d7c6d565c95651fc75b26ad605da0982cd | [
"Apache-2.0"
] | 3,556 | 2018-04-28T22:59:40.000Z | 2022-03-28T22:20:07.000Z | tests/scheduler_test.py | peng4217/scylla | aa5133d7c6d565c95651fc75b26ad605da0982cd | [
"Apache-2.0"
] | 120 | 2018-05-20T11:49:00.000Z | 2022-03-07T00:08:55.000Z | tests/scheduler_test.py | peng4217/scylla | aa5133d7c6d565c95651fc75b26ad605da0982cd | [
"Apache-2.0"
] | 518 | 2018-05-27T01:42:25.000Z | 2022-03-25T12:38:32.000Z | import pytest
from scylla.scheduler import Scheduler, cron_schedule
| 23.885714 | 78 | 0.744019 |
669ffe2b5e6215275de00b66a4a28e352cc9a091 | 2,063 | py | Python | ch16_ex.py | DexHunter/Think-Python-book-exercise-solutions | d0abae261eda1dca99043e17e8a1e614caad2140 | [
"CC-BY-4.0"
] | 24 | 2019-05-07T15:11:28.000Z | 2022-03-02T04:50:28.000Z | ch16_ex.py | Dekzu/Think-Python-book-exercise-solutions | d0abae261eda1dca99043e17e8a1e614caad2140 | [
"CC-BY-4.0"
] | null | null | null | ch16_ex.py | Dekzu/Think-Python-book-exercise-solutions | d0abae261eda1dca99043e17e8a1e614caad2140 | [
"CC-BY-4.0"
] | 19 | 2019-08-05T20:59:04.000Z | 2022-03-07T05:13:32.000Z |
def mul_time(t, n):
'''Multiple time t by n
n: int
Returns a time tr
'''
return int_to_time(time_to_int(t) * n)
def increment(t, sec):
'''Writes a inc function does not contain any loops
#for the second exercise of writing a pure function, I think you can just create a new object by copy.deepcopy(t) and ... | 20.838384 | 248 | 0.652448 |
66a0075c55665ddddee62ce3c5592465d9e8004b | 200 | py | Python | knowit/providers/__init__.py | labrys/knowit | eea9ac18e38c930230cf81b5dca4a9af9fb10d4e | [
"MIT"
] | null | null | null | knowit/providers/__init__.py | labrys/knowit | eea9ac18e38c930230cf81b5dca4a9af9fb10d4e | [
"MIT"
] | null | null | null | knowit/providers/__init__.py | labrys/knowit | eea9ac18e38c930230cf81b5dca4a9af9fb10d4e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Provider package."""
from __future__ import unicode_literals
from .enzyme import EnzymeProvider
from .ffmpeg import FFmpegProvider
from .mediainfo import MediaInfoProvider
| 25 | 40 | 0.785 |
66a03a53035c1596664c882408ebdf47aa3afc54 | 304 | py | Python | python-mundo3/ex077.py | abm-astro/estudos-python | c0dcd71489e528d445efa25d4986bf2fd08f8fe6 | [
"MIT"
] | 1 | 2021-08-15T18:18:43.000Z | 2021-08-15T18:18:43.000Z | python-mundo3/ex077.py | abm-astro/estudos-python | c0dcd71489e528d445efa25d4986bf2fd08f8fe6 | [
"MIT"
] | null | null | null | python-mundo3/ex077.py | abm-astro/estudos-python | c0dcd71489e528d445efa25d4986bf2fd08f8fe6 | [
"MIT"
] | null | null | null | list = ('APRENDER', 'PROGRAMAR', 'LINGUAGEM', 'PYTHON', 'CURSO', 'GRATIS', 'ESTUDAR',
'PRATICAR', 'TRABALHAR', 'MERCADO', 'PROGRAMADOR', 'FUTURO')
for p in list:
print(f'\nNa palavra {p} temos: ', end='')
for l in p:
if l.lower() in 'aeiou':
print(l.lower(), end=' ')
| 38 | 85 | 0.546053 |
66a1405cb275e20463fb6f972194333959f1c8d7 | 1,449 | py | Python | src/DataParser/odmdata/variable.py | UCHIC/iUTAHData | 4ffab29ad6b3313416bb2a8b98acf0b2e02c8cab | [
"Unlicense"
] | 2 | 2015-02-25T01:12:51.000Z | 2017-02-08T22:54:41.000Z | src/DataParser/odmdata/variable.py | UCHIC/iUTAHData | 4ffab29ad6b3313416bb2a8b98acf0b2e02c8cab | [
"Unlicense"
] | 48 | 2015-01-12T18:01:56.000Z | 2021-06-10T20:05:26.000Z | src/DataParser/odmdata/variable.py | UCHIC/iUTAHData | 4ffab29ad6b3313416bb2a8b98acf0b2e02c8cab | [
"Unlicense"
] | null | null | null | from sqlalchemy import *
from sqlalchemy.orm import relationship
from base import Base
from unit import Unit
| 45.28125 | 102 | 0.718427 |
66a4535ff16536c58c62bd0252d04c6087d6613d | 7,751 | py | Python | pandas/pandastypes.py | pyxll/pyxll-examples | e8a1cba1ffdb346191f0c80bea6877cbe0291957 | [
"Unlicense"
] | 93 | 2015-04-27T14:44:02.000Z | 2022-03-03T13:14:49.000Z | pandas/pandastypes.py | samuelpedrini/pyxll-examples | ce7f839b4ff4f4032b78dffff2357f3feaadc3a1 | [
"Unlicense"
] | 4 | 2019-12-13T11:32:17.000Z | 2022-03-03T14:07:02.000Z | pandas/pandastypes.py | samuelpedrini/pyxll-examples | ce7f839b4ff4f4032b78dffff2357f3feaadc3a1 | [
"Unlicense"
] | 53 | 2015-04-27T14:44:14.000Z | 2022-01-23T05:26:52.000Z | """
Custom excel types for pandas objects (eg dataframes).
For information about custom types in PyXLL see:
https://www.pyxll.com/docs/udfs.html#custom-types
For information about pandas see:
http://pandas.pydata.org/
Including this module in your pyxll config adds the following custom types that can
be used as retu... | 31.897119 | 95 | 0.632047 |
66a463bd296e2375b0d9a6abd3ff5e747d929dcd | 10,912 | py | Python | liveDataApp/views.py | subahanii/COVID19-tracker | b7d30ff996974755e78393f0777d6cf623c4d654 | [
"MIT"
] | 7 | 2020-04-28T12:34:42.000Z | 2021-05-17T06:20:51.000Z | liveDataApp/views.py | subahanii/COVID19-tracker | b7d30ff996974755e78393f0777d6cf623c4d654 | [
"MIT"
] | 1 | 2020-07-09T18:17:32.000Z | 2020-07-10T13:56:01.000Z | liveDataApp/views.py | subahanii/COVID19-tracker | b7d30ff996974755e78393f0777d6cf623c4d654 | [
"MIT"
] | null | null | null | from django.shortcuts import render
import requests
from bs4 import BeautifulSoup
import re
from collections import defaultdict as dfd
from .models import *
from datetime import date
from datetime import timedelta
from django.db.models import Sum
from django.db.models import Count
from django.db.models.functions impor... | 26.421308 | 129 | 0.640121 |
66a65924a1e2768d7469c1f8356205da9b3cbe9a | 89 | py | Python | project/healthcheck.py | permallotment/allotment3 | 0eb390086cc8f48ba6817541c6c70c06dfc83058 | [
"CC0-1.0"
] | null | null | null | project/healthcheck.py | permallotment/allotment3 | 0eb390086cc8f48ba6817541c6c70c06dfc83058 | [
"CC0-1.0"
] | null | null | null | project/healthcheck.py | permallotment/allotment3 | 0eb390086cc8f48ba6817541c6c70c06dfc83058 | [
"CC0-1.0"
] | null | null | null | from django.http import HttpResponse
| 17.8 | 36 | 0.764045 |
66a6d482011b0d35775a7523319647c543ff9fb5 | 11,829 | py | Python | src/algo/baselines/randomP/randomP.py | Lukeeeeee/CE7490-Group-Project-Python | 840a655bcb8cebbe3d39e5d3f3d68a01936a6283 | [
"MIT"
] | null | null | null | src/algo/baselines/randomP/randomP.py | Lukeeeeee/CE7490-Group-Project-Python | 840a655bcb8cebbe3d39e5d3f3d68a01936a6283 | [
"MIT"
] | null | null | null | src/algo/baselines/randomP/randomP.py | Lukeeeeee/CE7490-Group-Project-Python | 840a655bcb8cebbe3d39e5d3f3d68a01936a6283 | [
"MIT"
] | 1 | 2020-10-20T07:06:18.000Z | 2020-10-20T07:06:18.000Z | from src.core import Basic
import networkx as nx
| 37.792332 | 95 | 0.481951 |
66a846d0d120e378d227803f5adec0334b4d67ff | 1,336 | py | Python | stations/heathen/migrations/0003_auto_20161128_0519.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | stations/heathen/migrations/0003_auto_20161128_0519.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | stations/heathen/migrations/0003_auto_20161128_0519.py | boyombo/django-stations | 93a70be7eb8268f9d48f6e3cf9a532bcb27ff895 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.5 on 2016-11-28 05:19
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
| 30.363636 | 115 | 0.577844 |
66aa16869b2a00e5d9cde4a253891d698c5527b2 | 2,437 | py | Python | src/observers/simple_observer.py | ChenyangTang/bark-ml | 1d2ab1957bf49929e27d718dd4bd3912162197b8 | [
"MIT"
] | null | null | null | src/observers/simple_observer.py | ChenyangTang/bark-ml | 1d2ab1957bf49929e27d718dd4bd3912162197b8 | [
"MIT"
] | null | null | null | src/observers/simple_observer.py | ChenyangTang/bark-ml | 1d2ab1957bf49929e27d718dd4bd3912162197b8 | [
"MIT"
] | null | null | null |
from gym import spaces
import numpy as np
from bark.models.dynamic import StateDefinition
from modules.runtime.commons.parameters import ParameterServer
import math
import operator
from src.commons.spaces import BoundedContinuous, Discrete
from src.observers.observer import StateObserver
| 30.848101 | 77 | 0.672959 |
66aa1e9b55b1f6a0fc3a8c730d67ac565985ed59 | 9,610 | py | Python | cosilico/base/scatter.py | cosilico/cosilico | 983373139aeaf459271c559a47a6439939ec93a5 | [
"MIT"
] | null | null | null | cosilico/base/scatter.py | cosilico/cosilico | 983373139aeaf459271c559a47a6439939ec93a5 | [
"MIT"
] | null | null | null | cosilico/base/scatter.py | cosilico/cosilico | 983373139aeaf459271c559a47a6439939ec93a5 | [
"MIT"
] | null | null | null | import altair as alt
import pandas as pd
def scatterplot(x, y, data, hue=None, color=None, opacity=1.,
x_autoscale=True, y_autoscale=True):
"""Display a basic scatterplot.
Parameters
----------
x : str
Column in data to be used for x-axis
y : str
Column in data to be used ... | 29.478528 | 87 | 0.591467 |
66abb66cbd60706f6fbdf7789edf198d10295b85 | 12,103 | py | Python | flappy_env.py | timlaroche/FlapPyBird | cffc7bb76daad67957a8b5778c1f2c7d82da1514 | [
"MIT"
] | null | null | null | flappy_env.py | timlaroche/FlapPyBird | cffc7bb76daad67957a8b5778c1f2c7d82da1514 | [
"MIT"
] | null | null | null | flappy_env.py | timlaroche/FlapPyBird | cffc7bb76daad67957a8b5778c1f2c7d82da1514 | [
"MIT"
] | null | null | null | import gym
from gym import spaces
from itertools import cycle
import random
import sys
import os
import pygame
from pygame.locals import *
import flappy
import numpy as np
import cv2
# GLOBALS
FPS = 30
SCREENWIDTH = 288
SCREENHEIGHT = 512
PIPEGAPSIZE = 100 # gap between upper and lower part of pipe
BASEY ... | 32.799458 | 130 | 0.673635 |
66aded0365be403ed572fa925d74446e3fe43e79 | 4,587 | py | Python | vkmini/group/group_longpoll.py | Elchinchel/vkmini | 378ee3893c5826563a19198fd532df47aaa03350 | [
"MIT"
] | 2 | 2021-08-12T20:22:40.000Z | 2022-02-06T18:13:38.000Z | vkmini/group/group_longpoll.py | Elchinchel/vkmini | 378ee3893c5826563a19198fd532df47aaa03350 | [
"MIT"
] | null | null | null | vkmini/group/group_longpoll.py | Elchinchel/vkmini | 378ee3893c5826563a19198fd532df47aaa03350 | [
"MIT"
] | 3 | 2020-07-31T17:19:20.000Z | 2021-12-11T11:38:23.000Z | from typing import AsyncGenerator, List, Union, Any
from aiohttp.client import ClientSession
from vkmini.utils import AbstractLogger
from vkmini.request import longpoll_get, default_session
from vkmini.exceptions import TokenInvalid
from vkmini import VkApi
| 28.849057 | 79 | 0.58535 |
66af18eea69ccb8397ca09f7ca83656cd98f0584 | 1,162 | py | Python | aswan/tests/unit/test_migrations.py | papsebestyen/aswan | ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd | [
"MIT"
] | 1 | 2021-04-28T23:08:07.000Z | 2021-04-28T23:08:07.000Z | aswan/tests/unit/test_migrations.py | papsebestyen/aswan | ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd | [
"MIT"
] | 1 | 2022-01-22T22:02:55.000Z | 2022-01-22T22:02:55.000Z | aswan/tests/unit/test_migrations.py | papsebestyen/aswan | ed1b2a3dae6a8b7de355edd75de8d4ad577c97cd | [
"MIT"
] | 2 | 2022-01-05T10:01:22.000Z | 2022-02-16T10:58:46.000Z | import tarfile
import pandas as pd
import sqlalchemy as db
from aswan import AswanConfig, ProdConfig, Project
from aswan.migrate import pull, push
from aswan.models import Base
from aswan.object_store import get_object_store
| 24.723404 | 62 | 0.683305 |
66b02efea9465e74c9e2945b8ff0942e0ed6931f | 82 | py | Python | backend/src/apps/test/apps.py | LucienLuc/project-sts | 02ad13b515bcefe1c1ef30f0c06104359bff613e | [
"MIT"
] | null | null | null | backend/src/apps/test/apps.py | LucienLuc/project-sts | 02ad13b515bcefe1c1ef30f0c06104359bff613e | [
"MIT"
] | null | null | null | backend/src/apps/test/apps.py | LucienLuc/project-sts | 02ad13b515bcefe1c1ef30f0c06104359bff613e | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 16.4 | 33 | 0.743902 |
66b23735ac5dd60f24c047d430921a774e2c8f6b | 1,055 | py | Python | booking.py | kurkurzz/AdminDashboard-BookingWithTimeslot | aa34fef7bc0e1f8cabb602adc6d69af925436e5d | [
"MIT"
] | null | null | null | booking.py | kurkurzz/AdminDashboard-BookingWithTimeslot | aa34fef7bc0e1f8cabb602adc6d69af925436e5d | [
"MIT"
] | null | null | null | booking.py | kurkurzz/AdminDashboard-BookingWithTimeslot | aa34fef7bc0e1f8cabb602adc6d69af925436e5d | [
"MIT"
] | null | null | null | import datetime as dt | 31.029412 | 118 | 0.559242 |
66b3e370acc80eb4f8fc537add6850404fc19250 | 148 | py | Python | problems/incorrect_division_method.py | stereoabuse/codewars | d6437afaef38c3601903891b8b9cb0f84c108c54 | [
"MIT"
] | null | null | null | problems/incorrect_division_method.py | stereoabuse/codewars | d6437afaef38c3601903891b8b9cb0f84c108c54 | [
"MIT"
] | null | null | null | problems/incorrect_division_method.py | stereoabuse/codewars | d6437afaef38c3601903891b8b9cb0f84c108c54 | [
"MIT"
] | null | null | null | ## Incorrect division method
## 8 kyu
## https://www.codewars.com/kata/54d1c59aba326343c80000e7
| 21.142857 | 59 | 0.682432 |
66b517ab0ecf7dee82c7b5fd1f3ac99536fb011e | 1,927 | py | Python | launch_notebooks.py | srivnamrata/openvino | aea76984a731fa3e81be9633dc8ffc702fb4e207 | [
"Apache-2.0"
] | null | null | null | launch_notebooks.py | srivnamrata/openvino | aea76984a731fa3e81be9633dc8ffc702fb4e207 | [
"Apache-2.0"
] | null | null | null | launch_notebooks.py | srivnamrata/openvino | aea76984a731fa3e81be9633dc8ffc702fb4e207 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import subprocess
import sys
from pathlib import Path
import os
pythonpath = sys.executable
curdir = Path(__file__).parent.resolve()
parentdir = curdir.parent
# If openvino_env is already activated, launch jupyter lab
# This will also start if openvino_env_2 is activated instead of openvino_env... | 39.326531 | 82 | 0.632071 |
66b64a14727f525c1e5bbd7f0c1785592ad8eed7 | 1,143 | py | Python | update_last_date.py | ankschoubey/testblog | f74e93f0f85edaee9c5adbe402e8e4a5252cc64d | [
"Apache-2.0"
] | 1 | 2021-07-26T00:58:53.000Z | 2021-07-26T00:58:53.000Z | update_last_date.py | ankschoubey/testblog | f74e93f0f85edaee9c5adbe402e8e4a5252cc64d | [
"Apache-2.0"
] | 15 | 2020-03-28T05:27:53.000Z | 2022-01-07T17:44:08.000Z | update_last_date.py | ankschoubey/testblog | f74e93f0f85edaee9c5adbe402e8e4a5252cc64d | [
"Apache-2.0"
] | 3 | 2021-05-08T19:59:02.000Z | 2021-05-11T17:14:45.000Z |
import os.path, os, time
from datetime import datetime
from os import listdir
from os.path import isfile, join
path = "_posts"
onlyfiles = [f for f in listdir(path) if isfile(join(path, f))]
#print(onlyfiles)
for i in onlyfiles:
completePath = f"{path}/{i}"
updatePost(completePath) | 30.078947 | 69 | 0.601925 |
66b70f0759d9cb9c2433981c7b3e962dee37c367 | 4,032 | py | Python | basic/19-brownie/brownie_test/tests/exchange/test_eth_to_token.py | xiangzhengfeng/Dapp-Learning | 813fe6e52898206046842d10ecf9eb68b7f336a1 | [
"MIT"
] | 987 | 2021-12-19T09:57:18.000Z | 2022-03-31T15:39:45.000Z | basic/19-brownie/brownie_test/tests/exchange/test_eth_to_token.py | xiangzhengfeng/Dapp-Learning | 813fe6e52898206046842d10ecf9eb68b7f336a1 | [
"MIT"
] | 30 | 2021-12-20T03:13:29.000Z | 2022-03-31T15:00:23.000Z | basic/19-brownie/brownie_test/tests/exchange/test_eth_to_token.py | xiangzhengfeng/Dapp-Learning | 813fe6e52898206046842d10ecf9eb68b7f336a1 | [
"MIT"
] | 207 | 2021-12-19T08:40:38.000Z | 2022-03-31T13:10:02.000Z | from brownie import (accounts, web3)
| 51.692308 | 117 | 0.705109 |
66b7938b4ce230cf1fa2893cf38e7f737bacfde6 | 49 | py | Python | hello.py | Lifereborn/cs3240-labdemo | 20db420273e78b4a905ec7e3a21fc717d71dc301 | [
"MIT"
] | null | null | null | hello.py | Lifereborn/cs3240-labdemo | 20db420273e78b4a905ec7e3a21fc717d71dc301 | [
"MIT"
] | null | null | null | hello.py | Lifereborn/cs3240-labdemo | 20db420273e78b4a905ec7e3a21fc717d71dc301 | [
"MIT"
] | null | null | null | from helper import greetings
greetings("hi!")
| 8.166667 | 28 | 0.734694 |
66b88bc537b297b0b6ea48d2a39575fd0626f252 | 232 | py | Python | setup.py | h-rub/manzip | 875e4ed75e08bd06b0d50698ecf1744ab3723e4c | [
"MIT"
] | null | null | null | setup.py | h-rub/manzip | 875e4ed75e08bd06b0d50698ecf1744ab3723e4c | [
"MIT"
] | null | null | null | setup.py | h-rub/manzip | 875e4ed75e08bd06b0d50698ecf1744ab3723e4c | [
"MIT"
] | null | null | null | from setuptools import setup
setup(
name="manzip",
version='1.0.0',
py_modules=['manzip'],
install_requires=[
'Click',
],
entry_points='''
[console_scripts]
manzip=app:main
''',
) | 16.571429 | 28 | 0.547414 |
66b95f7f1063980cc02f05f543cab0abf0bce28b | 199 | py | Python | tests/test_mmhelloworld.py | manasm11/mmhelloworld | 2e6907ac0962de90764a036d14046861b5f47521 | [
"MIT"
] | null | null | null | tests/test_mmhelloworld.py | manasm11/mmhelloworld | 2e6907ac0962de90764a036d14046861b5f47521 | [
"MIT"
] | null | null | null | tests/test_mmhelloworld.py | manasm11/mmhelloworld | 2e6907ac0962de90764a036d14046861b5f47521 | [
"MIT"
] | null | null | null | from mmhelloworld import say_hello
| 19.9 | 53 | 0.738693 |
66b9ec6f54ec8e5b78556e4fbb86bde48b9e1d35 | 1,167 | py | Python | bann/b_container/functions/print_init_net_state.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | bann/b_container/functions/print_init_net_state.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | bann/b_container/functions/print_init_net_state.py | arturOnRails/BANN | 027af04349304941fb73c2ede502aca4b76f1ad1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
""".. moduleauthor:: Artur Lissin"""
from typing import TypeVar
from bann.b_container.states.general.interface.init_state import InitState
from bann.b_container.states.general.interface.net_state import NetState
from bann.b_container.functions.dict_str_repr import dict_string_repr
from rewowr.p... | 44.884615 | 99 | 0.77892 |
66baa831bc3a0b5f4c002eec9ab7e86c9dd317b9 | 4,578 | py | Python | PythonCodes/ScientificPlotting/FigGen_Py_wolfel/Fig3.py | Nicolucas/C-Scripts | 2608df5c2e635ad16f422877ff440af69f98f960 | [
"MIT"
] | null | null | null | PythonCodes/ScientificPlotting/FigGen_Py_wolfel/Fig3.py | Nicolucas/C-Scripts | 2608df5c2e635ad16f422877ff440af69f98f960 | [
"MIT"
] | null | null | null | PythonCodes/ScientificPlotting/FigGen_Py_wolfel/Fig3.py | Nicolucas/C-Scripts | 2608df5c2e635ad16f422877ff440af69f98f960 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
plt.style.use('science')
import os, sys, time
sys.path.insert(0,"/import/freenas-m-03-geodynamics/jhayek/petsc-3.12.5/lib/petsc/bin/")
sys.path.insert(0,"/import/freenas-m-03-geodynamics/jhayek/TEAR/se2wave/utils/python")
sys.path.insert(0,"/import/freenas-m-03-geod... | 41.243243 | 159 | 0.68851 |
66bba8495cc9b2de4fa5d89e4f271bf43563f4b0 | 3,560 | py | Python | setup.py | fkie/rosrepo | 13cdf89e32f0c370d106a61540b0cd102675daf9 | [
"Apache-2.0"
] | 5 | 2016-09-06T08:02:10.000Z | 2018-06-10T20:45:21.000Z | setup.py | fkie/rosrepo | 13cdf89e32f0c370d106a61540b0cd102675daf9 | [
"Apache-2.0"
] | 2 | 2019-03-11T21:44:50.000Z | 2020-03-17T09:20:47.000Z | setup.py | fkie/rosrepo | 13cdf89e32f0c370d106a61540b0cd102675daf9 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
#
# ROSREPO
# Manage ROS workspaces with multiple Gitlab repositories
#
# Author: Timo Rhling
#
# Copyright 2016 Fraunhofer FKIE
#
# 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... | 40 | 129 | 0.692416 |
66bcb0ae9b3366b6b0c297fee8c32430261239e3 | 2,948 | py | Python | structural/decorator_and_proxy/example/proxy.py | BruceWW/python_designer_pattern | c5f8b5ee32c8984401b4a217fa35364170331063 | [
"Apache-2.0"
] | 1 | 2020-08-29T09:17:12.000Z | 2020-08-29T09:17:12.000Z | structural/decorator_and_proxy/example/proxy.py | BruceWW/python_design_pattern | c5f8b5ee32c8984401b4a217fa35364170331063 | [
"Apache-2.0"
] | null | null | null | structural/decorator_and_proxy/example/proxy.py | BruceWW/python_design_pattern | c5f8b5ee32c8984401b4a217fa35364170331063 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# -*- coding: utf-8 -*-
# @Date : 2020/8/30
# @Author : Bruce Liu /Lin Luo
# @Mail : 15869300264@163.com
def trans(source_card: Card, target_card: Card, trans_num: int):
"""
:param source_card:
:param target_card:
:param trans_num:
:return:
"""
print(f'trans ... | 27.045872 | 129 | 0.587517 |
66bccd1b00412b945cbbdb0f6a0be3ab3a3ef37f | 158 | py | Python | tests/cli.py | joesitton/Ciphey | 862555f13e3915428a2f4ada5538fdf0be77ffcd | [
"MIT"
] | 9,908 | 2020-06-06T01:06:50.000Z | 2022-03-31T21:22:57.000Z | tests/cli.py | joesitton/Ciphey | 862555f13e3915428a2f4ada5538fdf0be77ffcd | [
"MIT"
] | 423 | 2020-05-30T11:44:37.000Z | 2022-03-18T03:15:30.000Z | tests/cli.py | joesitton/Ciphey | 862555f13e3915428a2f4ada5538fdf0be77ffcd | [
"MIT"
] | 714 | 2020-06-09T20:24:41.000Z | 2022-03-29T15:28:53.000Z | import subprocess
from sys import exit
result = subprocess.check_output(["ciphey", "-q", "-t 'hello'"])
if "hello" in result:
exit(0)
else:
exit(1)
| 15.8 | 64 | 0.651899 |
66bd2091216a58b01f3847f7b8145c69c89e49b7 | 13,057 | py | Python | macro_benchmark/SegLink/seglink/unit_tests.py | songhappy/ai-matrix | 901078e480c094235c721c49f8141aec7a84e70e | [
"Apache-2.0"
] | 180 | 2018-09-20T07:27:40.000Z | 2022-03-19T07:55:42.000Z | macro_benchmark/SegLink/seglink/unit_tests.py | songhappy/ai-matrix | 901078e480c094235c721c49f8141aec7a84e70e | [
"Apache-2.0"
] | 80 | 2018-09-26T18:55:56.000Z | 2022-02-10T02:03:26.000Z | macro_benchmark/SegLink/seglink/unit_tests.py | songhappy/ai-matrix | 901078e480c094235c721c49f8141aec7a84e70e | [
"Apache-2.0"
] | 72 | 2018-08-30T00:49:15.000Z | 2022-02-15T23:22:40.000Z | import math
import os
import tensorflow as tf
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import ops
import utils
import model_fctd
import data
import config
import visualizations as vis
FLAGS = tf.app.flags.FLAGS
if __name__ == '__main__':
# test_encode_decod... | 34.726064 | 103 | 0.635138 |
66bdffeb1d31a5333d1015ec0693dc331a8aaed7 | 1,432 | py | Python | setup.py | thefossgeek/packer.py | deda7a708e1968f6a206a939e97149c7aefc1c02 | [
"Apache-2.0"
] | 24 | 2018-03-24T00:06:04.000Z | 2022-01-29T19:25:32.000Z | setup.py | thefossgeek/packer.py | deda7a708e1968f6a206a939e97149c7aefc1c02 | [
"Apache-2.0"
] | 7 | 2018-03-24T00:12:06.000Z | 2021-07-01T23:29:28.000Z | setup.py | thefossgeek/packer.py | deda7a708e1968f6a206a939e97149c7aefc1c02 | [
"Apache-2.0"
] | 7 | 2018-10-10T00:36:25.000Z | 2022-01-27T15:02:17.000Z | """
Copyright 2018 Matthew Aynalem
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software... | 34.095238 | 82 | 0.692039 |
66be0ddd5abfb03dffd9214bd347839460bf60b7 | 39,732 | py | Python | pyreach/impl/logs_directory_client_test.py | google-research/pyreach | f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159 | [
"Apache-2.0"
] | 13 | 2021-09-01T01:10:22.000Z | 2022-03-05T10:01:52.000Z | pyreach/impl/logs_directory_client_test.py | google-research/pyreach | f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159 | [
"Apache-2.0"
] | null | null | null | pyreach/impl/logs_directory_client_test.py | google-research/pyreach | f91753ce7a26e77e122eb02a9fdd5a1ce3ce0159 | [
"Apache-2.0"
] | 6 | 2021-09-20T21:17:53.000Z | 2022-03-14T18:42:48.000Z | # Copyright 2021 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 agreed to in writing, ... | 39.652695 | 80 | 0.55892 |
66bff38e64bc42b7572591b13e17cd3a431e4073 | 1,007 | py | Python | SoftLayer/CLI/file/duplicate_convert_status.py | ko101/softlayer-python | f4cc9fa2eb01d97c0e890907ef6735390f1a5b10 | [
"MIT"
] | null | null | null | SoftLayer/CLI/file/duplicate_convert_status.py | ko101/softlayer-python | f4cc9fa2eb01d97c0e890907ef6735390f1a5b10 | [
"MIT"
] | null | null | null | SoftLayer/CLI/file/duplicate_convert_status.py | ko101/softlayer-python | f4cc9fa2eb01d97c0e890907ef6735390f1a5b10 | [
"MIT"
] | null | null | null | """Get status for split or move completed percentage of a given file duplicate volume."""
# :license: MIT, see LICENSE for more details.
import click
import SoftLayer
from SoftLayer.CLI import environment
from SoftLayer.CLI import formatting
| 32.483871 | 112 | 0.713009 |
66c4abe639069bea0f557f4dba81d69a1839cf18 | 392 | py | Python | apps/saas/forms.py | lucaslucyk/sigec | cdf65868e2f8ead35b005603611fcd20446633c7 | [
"MIT"
] | null | null | null | apps/saas/forms.py | lucaslucyk/sigec | cdf65868e2f8ead35b005603611fcd20446633c7 | [
"MIT"
] | 7 | 2020-02-12T03:10:01.000Z | 2021-06-10T19:30:50.000Z | apps/saas/forms.py | lucaslucyk/sigec | cdf65868e2f8ead35b005603611fcd20446633c7 | [
"MIT"
] | null | null | null | from django import forms
#from pagedown.widgets import PagedownWidget
from apps.saas.models import Offer | 21.777778 | 69 | 0.742347 |
66c4c0ab19cb9fa1cb71b15b0da8a32e24b51bb6 | 5,491 | py | Python | Linuxu.py | Jefferson-Hsu/Linuxu-shell | 2bbc42248e05ac01f8d3466479bb8106833c7ab1 | [
"MIT"
] | 1 | 2022-03-04T05:53:33.000Z | 2022-03-04T05:53:33.000Z | Linuxu.py | Jefferson-Hsu/Linuxu-shell | 2bbc42248e05ac01f8d3466479bb8106833c7ab1 | [
"MIT"
] | null | null | null | Linuxu.py | Jefferson-Hsu/Linuxu-shell | 2bbc42248e05ac01f8d3466479bb8106833c7ab1 | [
"MIT"
] | null | null | null | #library
import os
#string aphoto
print(" _ _ _ _ __ __ _ _ .____ .__ ")
print("| | | | ___| | | __\\ \\ / /__ _ __| | __| | | | |__| ____ __ _____ _____ __ ")
print("| |_| |/ _ \\ | |/ _ \\ \\ /\\ / / _ \\|... | 44.282258 | 152 | 0.24094 |
66c7e494275971e9a3a3aa777ced7402edea752a | 1,237 | py | Python | src/test.py | williamyang1991/TET-GAN | bdfca141fc14c5917fd9be8d2bc23870f9ad3288 | [
"MIT"
] | 86 | 2019-01-02T06:20:09.000Z | 2022-03-23T01:16:32.000Z | src/test.py | williamyang1991/TET-GAN | bdfca141fc14c5917fd9be8d2bc23870f9ad3288 | [
"MIT"
] | 5 | 2019-01-22T06:18:26.000Z | 2021-12-16T02:01:34.000Z | src/test.py | williamyang1991/TET-GAN | bdfca141fc14c5917fd9be8d2bc23870f9ad3288 | [
"MIT"
] | 24 | 2019-01-03T09:36:54.000Z | 2021-12-14T10:04:11.000Z | from options import TestOptions
import torch
from models import TETGAN
from utils import load_image, to_data, to_var, visualize, save_image
import os
#os.environ["CUDA_VISIBLE_DEVICES"] = "0"
if __name__ == '__main__':
main()
| 25.770833 | 68 | 0.609539 |
66cc342e6fa18c2dd06d530c8ed54f8e34f04274 | 1,853 | py | Python | scripts/bulkLoadUrls.py | conveyal/gtfs-data-manager | e7269fc1660f1816da269b1c116b43bdf758900b | [
"MIT"
] | 25 | 2015-02-11T19:20:07.000Z | 2021-03-10T07:53:29.000Z | scripts/bulkLoadUrls.py | conveyal/gtfs-data-manager | e7269fc1660f1816da269b1c116b43bdf758900b | [
"MIT"
] | 53 | 2015-01-07T20:30:56.000Z | 2016-10-10T12:47:22.000Z | scripts/bulkLoadUrls.py | conveyal/gtfs-data-manager | e7269fc1660f1816da269b1c116b43bdf758900b | [
"MIT"
] | 3 | 2015-01-03T10:17:34.000Z | 2015-11-10T10:44:27.000Z | #!/usr/bin/python
# load many feeds to the GTFS data manager, from a csv with fields name and url
# usage: bulkLoadFeeds.py file.csv http://server.example.com/
import csv
from getpass import getpass
from sys import argv
import json
from cookielib import CookieJar
import urllib2
from urllib import urlencode
if len(arg... | 25.736111 | 115 | 0.611981 |
66ce81273371c8d4fdeb7dac39c7d81c55ecac89 | 5,962 | py | Python | EQUATIONS/FOR_RESOLUTION_STUDY/BuoyancyResolutionStudy.py | mmicromegas/ransX | 2faaa786e00cfd14dce0e18f0793cd0252428d2a | [
"BSD-2-Clause"
] | 4 | 2019-04-22T11:43:47.000Z | 2020-09-16T00:28:15.000Z | EQUATIONS/FOR_RESOLUTION_STUDY/BuoyancyResolutionStudy.py | mmicromegas/ransX | 2faaa786e00cfd14dce0e18f0793cd0252428d2a | [
"BSD-2-Clause"
] | 34 | 2019-07-01T09:11:00.000Z | 2022-03-30T13:35:43.000Z | EQUATIONS/FOR_RESOLUTION_STUDY/BuoyancyResolutionStudy.py | mmicromegas/ransX | 2faaa786e00cfd14dce0e18f0793cd0252428d2a | [
"BSD-2-Clause"
] | 1 | 2020-09-16T00:28:17.000Z | 2020-09-16T00:28:17.000Z | import numpy as np
from scipy import integrate
import matplotlib.pyplot as plt
from UTILS.Calculus import Calculus
from UTILS.SetAxisLimit import SetAxisLimit
from UTILS.Tools import Tools
from UTILS.Errors import Errors
import sys
# Theoretical background https://arxiv.org/abs/1401.5176
# Mocak, Meakin, Viallet, Ar... | 32.939227 | 122 | 0.548306 |
66d0333de9cb88854cae7ea5468d3e9e83ace47c | 953 | py | Python | quokka/ext/weasyprint.py | yencchen/quokka_epus | d64aeb9c5ca59ee4bdcd84381f9bb0504680f5f5 | [
"MIT"
] | 1 | 2020-10-31T03:57:07.000Z | 2020-10-31T03:57:07.000Z | quokka/ext/weasyprint.py | yencchen/quokka_epus | d64aeb9c5ca59ee4bdcd84381f9bb0504680f5f5 | [
"MIT"
] | null | null | null | quokka/ext/weasyprint.py | yencchen/quokka_epus | d64aeb9c5ca59ee4bdcd84381f9bb0504680f5f5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import print_function
import logging
from flask import url_for
logger = logging.getLogger()
try:
from flask_weasyprint import render_pdf
import_error = False
except (ImportError, OSError) as e:
# print("""
# Error importing flask-weasyprint!
# PDF support... | 25.756757 | 74 | 0.684155 |
66d0fa4f73c90e59d6dc87d8a6c39b035c3b58f1 | 392 | py | Python | jupyter_server_terminals/__init__.py | blink1073/jupyter_server_terminals | cc0363421ab50fded26c8519ea4694bf1a391fce | [
"BSD-3-Clause-Clear"
] | 3 | 2021-12-30T23:55:47.000Z | 2022-02-18T01:14:54.000Z | jupyter_server_terminals/__init__.py | blink1073/jupyter_server_terminals | cc0363421ab50fded26c8519ea4694bf1a391fce | [
"BSD-3-Clause-Clear"
] | 5 | 2021-12-26T21:27:11.000Z | 2022-03-03T11:37:04.000Z | jupyter_server_terminals/__init__.py | blink1073/jupyter_server_terminals | cc0363421ab50fded26c8519ea4694bf1a391fce | [
"BSD-3-Clause-Clear"
] | 4 | 2021-12-26T21:25:45.000Z | 2022-01-27T02:47:10.000Z | from ._version import __version__ # noqa:F401
try:
from .app import TerminalsExtensionApp
except ModuleNotFoundError:
import warnings
warnings.warn("Could not import submodules")
| 21.777778 | 59 | 0.663265 |
66d19b6566c778e3d204fad20cbbd324cf9a6a61 | 5,256 | py | Python | CommandsToFunction.py | destruc7i0n/CommandsToFunction | f1c29c6280524c54cc5876b966c1ff36ab1c2d27 | [
"MIT"
] | 1 | 2018-03-10T21:09:04.000Z | 2018-03-10T21:09:04.000Z | CommandsToFunction.py | destruc7i0n/CommandsToFunction | f1c29c6280524c54cc5876b966c1ff36ab1c2d27 | [
"MIT"
] | null | null | null | CommandsToFunction.py | destruc7i0n/CommandsToFunction | f1c29c6280524c54cc5876b966c1ff36ab1c2d27 | [
"MIT"
] | null | null | null | # By TheDestruc7i0n https://thedestruc7i0n.ca
# MrGarretto for the code for traversing the command block chain https://mrgarretto.com
import mcplatform
import codecs
__version__ = "V1.4.1"
displayName = "Commands to Function"
inputs = (
("Converts a command block chain into a function.", "label"),
("The fil... | 39.818182 | 180 | 0.562976 |
66d42f1fdcd91d122cd938babcc3fe924510d04e | 2,147 | py | Python | src/admin/godmode/actions/base.py | aimanow/sft | dce87ffe395ae4bd08b47f28e07594e1889da819 | [
"Apache-2.0"
] | 280 | 2016-07-19T09:59:02.000Z | 2022-03-05T19:02:48.000Z | godmode/actions/base.py | YAR-SEN/GodMode2 | d8a79b45c6d8b94f3d2af3113428a87d148d20d0 | [
"WTFPL"
] | 3 | 2016-07-20T05:36:49.000Z | 2018-12-10T16:16:19.000Z | godmode/actions/base.py | YAR-SEN/GodMode2 | d8a79b45c6d8b94f3d2af3113428a87d148d20d0 | [
"WTFPL"
] | 20 | 2016-07-20T10:51:34.000Z | 2022-01-12T23:15:22.000Z | import json
from flask import g, request, render_template
from flask.views import View
from godmode import logging
from godmode.acl import ACL
from godmode.audit_log import audit_log
from godmode.exceptions import AccessDenied
log = logging.getLogger(__name__)
| 26.182927 | 98 | 0.583605 |
66d880a9b64fd73b407a720c9fa6817d2609e5bf | 16,001 | py | Python | forever/Warframe.py | dss285/4ever | bd6f70f92d76d43342da401562f2c504adaf3867 | [
"MIT"
] | null | null | null | forever/Warframe.py | dss285/4ever | bd6f70f92d76d43342da401562f2c504adaf3867 | [
"MIT"
] | null | null | null | forever/Warframe.py | dss285/4ever | bd6f70f92d76d43342da401562f2c504adaf3867 | [
"MIT"
] | null | null | null | import discord
import asyncio
import time
import aiohttp
import re
import pathlib
import os
import json
from bs4 import BeautifulSoup
from datetime import datetime
from models.UpdatedMessage import UpdatedMessage
from models.EmbedTemplate import EmbedTemplate
from models.BotMention import BotMention
from f... | 41.778068 | 159 | 0.645272 |
66d8ba6f365049a80533d4986a5c2cf0bb77bfb0 | 2,561 | py | Python | config/jupyter/jupyterhub_config.py | mhwasil/jupyterhub-on-gcloud | 9cfe935772d7599fa36c5b998cebb87c17e24277 | [
"MIT"
] | 3 | 2018-10-06T20:35:08.000Z | 2019-03-02T08:04:52.000Z | config/jupyter/jupyterhub_config.py | mhwasil/jupyterhub-on-gcloud | 9cfe935772d7599fa36c5b998cebb87c17e24277 | [
"MIT"
] | 4 | 2019-05-15T11:36:43.000Z | 2019-07-23T09:34:45.000Z | config/jupyter/jupyterhub_config.py | mhwasil/jupyterhub-on-gcloud | 9cfe935772d7599fa36c5b998cebb87c17e24277 | [
"MIT"
] | 2 | 2020-01-09T21:03:44.000Z | 2020-11-22T16:47:00.000Z | c = get_config()
c.JupyterHub.ip = u'127.0.0.1'
c.JupyterHub.port = 8000
c.JupyterHub.cookie_secret_file = u'/srv/jupyterhub/jupyterhub_cookie_secret'
c.JupyterHub.db_url = u'/srv/jupyterhub/jupyterhub.sqlite'
#c.JupyterHub.proxy_auth_token = u'/srv/jupyterhub/proxy_auth_token'
c.ConfigurableHTTPProxy.auth_token = u'/s... | 31.617284 | 78 | 0.643108 |
66d95353965e38496015e85b754a89803b392d87 | 11,908 | py | Python | legacy/Environment.py | LaoKpa/reinforcement_trader | 1465731269e6d58900a28a040346bf45ffb5cf97 | [
"MIT"
] | 7 | 2020-09-28T23:36:40.000Z | 2022-02-22T02:00:32.000Z | legacy/Environment.py | LaoKpa/reinforcement_trader | 1465731269e6d58900a28a040346bf45ffb5cf97 | [
"MIT"
] | 4 | 2020-11-13T18:48:52.000Z | 2022-02-10T01:29:47.000Z | legacy/Environment.py | lzcaisg/reinforcement_trader | 1465731269e6d58900a28a040346bf45ffb5cf97 | [
"MIT"
] | 3 | 2020-11-23T17:31:59.000Z | 2021-04-08T10:55:03.000Z | import datetime
import warnings
import pandas as pd
import numpy as np
from MongoDBUtils import *
from scipy.optimize import fsolve
import pymongo
TRADING_FEE = 0.008
EARLIEST_DATE = datetime.datetime(2014, 10, 17)
LATEST_DATE = datetime.datetime(2019, 10, 17)
# In any cases, we shouldn't know today's and future val... | 36.527607 | 141 | 0.570037 |
66d9e2205d4a01f644f0a6147e2760e0d6b2de38 | 579 | py | Python | examples/Titanic/titanic.py | mlflow/mlflow-torchserve | 91663b630ef12313da3ad821767faf3fc409345b | [
"Apache-2.0"
] | 40 | 2020-11-13T02:08:10.000Z | 2022-03-27T07:41:57.000Z | examples/Titanic/titanic.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 23 | 2020-11-16T11:28:01.000Z | 2021-09-23T11:28:24.000Z | examples/Titanic/titanic.py | Ideas2IT/mlflow-torchserve | d6300fb73f16d74ee2c7718c249faf485c4f3b62 | [
"Apache-2.0"
] | 15 | 2020-11-13T10:25:25.000Z | 2022-02-01T10:13:20.000Z | import torch.nn as nn
| 30.473684 | 64 | 0.62867 |
66db0c7061bb9a75d8373490465f8ef60bcc3200 | 426 | py | Python | api/tacticalrmm/agents/migrations/0049_agent_agents_agen_monitor_df8816_idx.py | v2cloud/tacticalrmm | 12f599f9749985f66ff9b559c5e5abd36064b182 | [
"MIT"
] | null | null | null | api/tacticalrmm/agents/migrations/0049_agent_agents_agen_monitor_df8816_idx.py | v2cloud/tacticalrmm | 12f599f9749985f66ff9b559c5e5abd36064b182 | [
"MIT"
] | null | null | null | api/tacticalrmm/agents/migrations/0049_agent_agents_agen_monitor_df8816_idx.py | v2cloud/tacticalrmm | 12f599f9749985f66ff9b559c5e5abd36064b182 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.3 on 2022-04-18 14:29
from django.db import migrations, models
| 23.666667 | 98 | 0.65493 |
66dcca39ba0172f5d72111b99f2df6a26ed3cb02 | 6,431 | py | Python | src/Datasets.py | fauxneticien/bnf_cnn_qbe-std | ab7dcb9c9d3d8969f1f17aaa87b7337d3ccfcc30 | [
"MIT"
] | 4 | 2021-03-26T17:18:59.000Z | 2022-03-21T18:28:56.000Z | src/Datasets.py | fauxneticien/bnf_cnn_qbe-std | ab7dcb9c9d3d8969f1f17aaa87b7337d3ccfcc30 | [
"MIT"
] | 1 | 2021-11-02T17:29:46.000Z | 2021-11-02T17:29:46.000Z | src/Datasets.py | fauxneticien/bnf_cnn_qbe-std | ab7dcb9c9d3d8969f1f17aaa87b7337d3ccfcc30 | [
"MIT"
] | 1 | 2020-11-11T05:04:55.000Z | 2020-11-11T05:04:55.000Z | import os
import torch
import numpy as np
import pandas as pd
from torch.utils.data import Dataset, DataLoader
from scipy.spatial.distance import cdist
import logging
| 51.448 | 133 | 0.640647 |
66de338a8afcfc34368f70df12c0187b512a7430 | 3,209 | py | Python | dmz/store.py | yuvipanda/edit-stats | fb096715f18df999b4af4fb116e6c4130f24c2ec | [
"MIT"
] | null | null | null | dmz/store.py | yuvipanda/edit-stats | fb096715f18df999b4af4fb116e6c4130f24c2ec | [
"MIT"
] | null | null | null | dmz/store.py | yuvipanda/edit-stats | fb096715f18df999b4af4fb116e6c4130f24c2ec | [
"MIT"
] | null | null | null | """Implements a db backed storage area for intermediate results"""
import sqlite3
| 38.662651 | 111 | 0.600499 |
66e356546289b5293424a7a6ad3ffb4afce031ec | 7,074 | py | Python | main.py | usdot-its-jpo-data-portal/metadata-query-function | 589e5df691fab82e264ce74196dd797b9eb17f5e | [
"Apache-2.0"
] | null | null | null | main.py | usdot-its-jpo-data-portal/metadata-query-function | 589e5df691fab82e264ce74196dd797b9eb17f5e | [
"Apache-2.0"
] | null | null | null | main.py | usdot-its-jpo-data-portal/metadata-query-function | 589e5df691fab82e264ce74196dd797b9eb17f5e | [
"Apache-2.0"
] | 1 | 2021-12-14T18:00:20.000Z | 2021-12-14T18:00:20.000Z | import boto3
import dateutil
import glob
import json
import logging
import os
import queue
import time
from queries import MetadataQueries
USE_LOCAL_DATA = True # whether to load data from S3 (false) or locally (true)
LOCAL_DATA_REPOSITORY = "s3data/usdot-its-cvpilot-public-data" # path to local directory containing s... | 46.235294 | 227 | 0.669918 |
66e36f3c188b5158455460f11322fdc4021ffe06 | 1,070 | py | Python | example_config/SecretConfig.py | axiegamingph-dev/discordaxieqrbot | fac9b3f325b98d21ece12445ec798c125d06f788 | [
"MIT"
] | null | null | null | example_config/SecretConfig.py | axiegamingph-dev/discordaxieqrbot | fac9b3f325b98d21ece12445ec798c125d06f788 | [
"MIT"
] | null | null | null | example_config/SecretConfig.py | axiegamingph-dev/discordaxieqrbot | fac9b3f325b98d21ece12445ec798c125d06f788 | [
"MIT"
] | 2 | 2022-01-13T18:45:26.000Z | 2022-03-03T11:50:43.000Z | Managers = ['Shim', 'Mike', 'Ryan', 'Kevin', 'Wessa', 'ser0wl']
# google spreedsheet id
ISKO_SPREADSHEET_ID = ''
# the list of names with discord ID
ISKO_DiscordAccount = 'DiscordAccount!A2:B100'
# the list of Names, ronin address, ronin private keys
# eg:
# Name | Address | Privat... | 33.4375 | 94 | 0.699065 |
66e44acc59d85966cbb8120b35805a421dccdbf1 | 566 | py | Python | world/dominion/migrations/0011_organization_theories.py | stesla/arxcode | a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a | [
"MIT"
] | 5 | 2019-03-16T08:26:53.000Z | 2019-11-27T15:42:16.000Z | world/dominion/migrations/0011_organization_theories.py | stesla/arxcode | a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a | [
"MIT"
] | 7 | 2018-09-29T05:08:15.000Z | 2021-06-10T21:35:32.000Z | world/dominion/migrations/0011_organization_theories.py | stesla/arxcode | a0ebf7c4d310de8c1980a8ba2a48948a68bb5a0a | [
"MIT"
] | 7 | 2018-09-19T21:11:29.000Z | 2019-11-19T12:46:14.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.13 on 2017-08-19 03:52
from __future__ import unicode_literals
from django.db import migrations, models
| 25.727273 | 108 | 0.637809 |
66e492eef799f5d354e84f2867ee89f9c4cd7b7a | 200 | py | Python | tests/button_test.py | almasgai/Drone | 1223375976baf79d0f4362d42287d1a4039ba1e9 | [
"MIT"
] | null | null | null | tests/button_test.py | almasgai/Drone | 1223375976baf79d0f4362d42287d1a4039ba1e9 | [
"MIT"
] | null | null | null | tests/button_test.py | almasgai/Drone | 1223375976baf79d0f4362d42287d1a4039ba1e9 | [
"MIT"
] | null | null | null | from gpiozero import Button
import os
from time import sleep
button = Button(2)
i = 0
while True:
if button.is_pressed:
print(i, ". I've been pressed")
i += 1
sleep(0.1)
| 15.384615 | 39 | 0.61 |
66e5419754e56410c068112926f27e01cdae86bb | 820 | py | Python | reprojection.py | ekrell/nir2watermap | 5253f2cde142a62103eb06fb2931c9aed6431211 | [
"MIT"
] | null | null | null | reprojection.py | ekrell/nir2watermap | 5253f2cde142a62103eb06fb2931c9aed6431211 | [
"MIT"
] | null | null | null | reprojection.py | ekrell/nir2watermap | 5253f2cde142a62103eb06fb2931c9aed6431211 | [
"MIT"
] | null | null | null | import rasterio
from rasterio.plot import show, reshape_as_raster, reshape_as_image, adjust_band
from rasterio import warp
import numpy as np
| 37.272727 | 91 | 0.680488 |
66e80248874252f8ee1fc31cfa1763523a5f99eb | 4,034 | py | Python | opentsdb/push_thread.py | razvandimescu/opentsdb-py | 61c15302468769121f94323493e88cb51efcea15 | [
"MIT"
] | 48 | 2016-12-27T10:11:41.000Z | 2021-11-15T16:05:24.000Z | opentsdb/push_thread.py | razvandimescu/opentsdb-py | 61c15302468769121f94323493e88cb51efcea15 | [
"MIT"
] | 8 | 2017-10-08T16:20:30.000Z | 2022-02-23T08:36:52.000Z | opentsdb/push_thread.py | razvandimescu/opentsdb-py | 61c15302468769121f94323493e88cb51efcea15 | [
"MIT"
] | 17 | 2017-10-01T01:14:55.000Z | 2021-11-15T16:05:24.000Z | from logging import getLogger
from queue import Empty
import threading
import random
import time
logger = getLogger('opentsdb-py')
| 32.015873 | 119 | 0.617005 |
66e8dfd4ed77fb442ea81a851f7a9c4e599b1de3 | 465 | py | Python | projects/generate_pdf/main.py | parth-patel-samarthview/batch_201901 | f407c1bf9575a01e8ddc507adb6f0574f8d2bc09 | [
"MIT"
] | 2 | 2019-03-17T07:20:24.000Z | 2019-03-31T05:47:09.000Z | projects/generate_pdf/main.py | parth-patel-samarthview/batch_201901 | f407c1bf9575a01e8ddc507adb6f0574f8d2bc09 | [
"MIT"
] | null | null | null | projects/generate_pdf/main.py | parth-patel-samarthview/batch_201901 | f407c1bf9575a01e8ddc507adb6f0574f8d2bc09 | [
"MIT"
] | 2 | 2019-01-28T13:09:48.000Z | 2019-03-17T07:20:37.000Z | from xlrd import open_workbook
wb = open_workbook(r"C:\Users\Lenovo\Documents\excel converter.xlsx")
for s in wb.sheets():
#print 'Sheet:',s.name
values = []
for row in range(s.nrows):
col_value = []
for col in range(s.ncols):
value = (s.cell(row,col).value)
... | 31 | 70 | 0.572043 |
66ebd223e34af9e0e97db29c5f0febdca09f52fb | 3,068 | py | Python | apitaxdrivers/Openstack.py | Apitax/Drivers | 35b2c2f4c8ce8b98615f42fc30f04111d7b9bffe | [
"Apache-2.0"
] | null | null | null | apitaxdrivers/Openstack.py | Apitax/Drivers | 35b2c2f4c8ce8b98615f42fc30f04111d7b9bffe | [
"Apache-2.0"
] | 4 | 2018-08-03T20:01:57.000Z | 2018-10-22T15:32:27.000Z | apitaxdrivers/Openstack.py | Apitax/Drivers | 35b2c2f4c8ce8b98615f42fc30f04111d7b9bffe | [
"Apache-2.0"
] | null | null | null | from apitax.drivers.Driver import Driver
from apitax.utilities.Files import getAllFiles
from apitax.ah.Options import Options
from pathlib import Path
from apitax.ah.Credentials import Credentials
from apitax.utilities.Json import read
from apitax.ah.State import State
from apitax.utilities.Files import getPath
| 35.264368 | 118 | 0.601695 |