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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
514d5df2cbf6b921babea277704186e66c61af98 | 3,700 | py | Python | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Dijkstra_Algorithm/Dijkstra_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Dijkstra_Algorithm/Dijkstra_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | Algo_Ds_Notes-master/Algo_Ds_Notes-master/Dijkstra_Algorithm/Dijkstra_Algorithm.py | rajatenzyme/Coding-Journey- | 65a0570153b7e3393d78352e78fb2111223049f3 | [
"MIT"
] | null | null | null | '''
Dijkstra's algorithm for weighted undirected graph
'''
from collections import deque
#Graph stored as adjacent list
g = { 'A': {'C': 9, 'B': 7, 'F': 14},
'B': {'A': 7, 'C': 10, 'D': 15},
'C': {'A': 9, 'B': 10, 'D': 11, 'F': 2},
'D': {'E': 6, 'B': 15, 'C': 11},
'E': {'F': 9, 'D': 6},
... | 33.333333 | 104 | 0.526216 |
514d67f48ef86730369a1f20030702bb95bc30ac | 33,053 | py | Python | ServerFiles/FrontFollowingNetwork.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | 2 | 2021-11-13T14:16:06.000Z | 2022-01-12T06:07:32.000Z | ServerFiles/FrontFollowingNetwork.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | null | null | null | ServerFiles/FrontFollowingNetwork.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | 3 | 2021-08-30T04:40:39.000Z | 2022-01-09T11:34:04.000Z | #-*- coding: UTF-8 -*-
import sys,os
pwd = os.path.abspath(os.path.abspath(__file__))
father_path = os.path.abspath(os.path.dirname(pwd) + os.path.sep + "..")
sys.path.append(father_path)
import tensorflow as tf
from tensorflow import keras
import numpy as np
import os
from typing import Tuple
import random
from Networ... | 55.365159 | 184 | 0.587571 |
514d779997818ca67945865e73aa82b847c739ae | 3,302 | py | Python | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 12 | 2018-06-28T13:40:53.000Z | 2022-01-07T12:46:15.000Z | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 6 | 2019-04-29T16:55:38.000Z | 2022-03-04T17:00:15.000Z | docs/_build/html/_downloads/152c7b8f9bc6f2cd3750f0cb8ddc0be4/lesson_2_a.py | olklymov/valkka-examples | 92be5f815cd3927100ccc4220c588bdd7c510797 | [
"MIT"
] | 5 | 2019-04-21T15:42:55.000Z | 2021-08-16T10:53:30.000Z | #<hide>
"""
filtergraph:
Streaming part | Decoding part
|
(LiveThread:livethread) -->> (AVThread:avthread) --> {InfoFrameFilter:info_filter}
"""
#</hide>
#<hide>
import time
from valkka.core import *
#</hide>
"""<rtf>
Let's consider the following filtergraph:
::
Streami... | 31.447619 | 214 | 0.657783 |
514e969fdf154b0e8e5327483cdde2b37efd808d | 44,964 | py | Python | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 3 | 2015-08-02T09:03:28.000Z | 2017-12-06T09:26:14.000Z | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 5 | 2015-08-17T01:16:35.000Z | 2015-09-16T21:51:27.000Z | cheshire3/normalizer.py | cheshire3/cheshire3 | 306348831ec110229c78a7c5f0f2026a0f394d2c | [
"Python-2.0",
"Unlicense"
] | 6 | 2015-05-17T15:32:20.000Z | 2020-04-22T08:43:16.000Z | # -*- coding: utf-8 --
import os
import re
import types
try:
from zopyx.txng3.ext import stemmer as Stemmer
except ImportError:
Stemmer = None
from cheshire3.baseObjects import Normalizer
from cheshire3.exceptions import (
ConfigFileException,
MissingDependencyException
)
# Non printable c... | 33.134856 | 79 | 0.455231 |
514e96ff8378de7f403d3d5b87b39b9cacaa544f | 1,976 | py | Python | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | tests/tests_auth.py | wolfram74/flask_exploration | 6c83eee93830792969b8c6b4dbbbf6708c08ef9d | [
"MIT"
] | null | null | null | import unittest
from flask.ext.testing import TestCase
from project import app, db
from project.models import User, BlogPost
from base import BaseTestCase
if __name__== '__main__':
unittest.main()
| 37.283019 | 96 | 0.671053 |
514fd7037382f0059f2a8f6642dd4dde72119752 | 1,024 | py | Python | calendar_manager/accounts/views/signin.py | greyhub/calendar_manager | 837a0d938fdd58684279fb32f8a50805bb306fe1 | [
"MIT"
] | 6 | 2021-11-23T19:52:55.000Z | 2022-03-30T13:45:05.000Z | calendar_manager/accounts/views/signin.py | greyhub/calendar_manager | 837a0d938fdd58684279fb32f8a50805bb306fe1 | [
"MIT"
] | null | null | null | calendar_manager/accounts/views/signin.py | greyhub/calendar_manager | 837a0d938fdd58684279fb32f8a50805bb306fe1 | [
"MIT"
] | 1 | 2021-11-23T10:14:54.000Z | 2021-11-23T10:14:54.000Z | from django.views.generic import View
from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login
from accounts.forms import SignInForm
| 32 | 63 | 0.621094 |
5150d680a6e92b183496e1677c8274249125d1ee | 3,794 | py | Python | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | magmap/settings/logs.py | kaparna126/magellanmapper | 6a50e82b3bcdbbb4706f749f366b055f0c6f13f2 | [
"BSD-3-Clause"
] | null | null | null | # MagellanMapper logging
"""Logging utilities."""
import logging
from logging import handlers
import pathlib
def setup_logger():
"""Set up a basic root logger with a stream handler.
Returns:
:class:`logging.Logger`: Root logger for the application.
"""
logger = logging.getLogger()
... | 29.874016 | 77 | 0.624671 |
5151eb6104a2efda27edf90bc5d40eacc7c63499 | 3,322 | py | Python | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | src/training/har_train.py | sanglee/MC-ATON | 8393cdb20957bf2fe11633c062aa7979ca389cc4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Created : 2021/10/28 17:12
# @Author : Junhyung Kwon
# @Site :
# @File : har_train.py
# @Software : PyCharm
import os
import torch
import torch.nn.functional as F
from torch import nn, optim
from torch.optim.lr_scheduler import MultiStepLR
from tqdm.au... | 30.477064 | 118 | 0.621915 |
51523224ed1784558c61cf16ca3f354c9e20fd86 | 1,741 | py | Python | brainTeasers/numberOfLines/unitTests.py | christopher-henderson/Experiments | d970249a4895424cb5ff5b557948f3a4bda4879c | [
"MIT"
] | null | null | null | brainTeasers/numberOfLines/unitTests.py | christopher-henderson/Experiments | d970249a4895424cb5ff5b557948f3a4bda4879c | [
"MIT"
] | null | null | null | brainTeasers/numberOfLines/unitTests.py | christopher-henderson/Experiments | d970249a4895424cb5ff5b557948f3a4bda4879c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
from functools import wraps
from lines import getNumLines
assertion = 0
exception = 0
passed = 0
def main():
empty()
one()
axis()
origin()
counterQuadrants()
scientificInts()
main()
| 24.521127 | 92 | 0.570936 |
515285c60dcab2bc55d78dce23f2882c85fc837c | 279 | py | Python | print-var.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | 5 | 2015-11-15T19:08:31.000Z | 2015-11-27T02:34:28.000Z | print-var.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | null | null | null | print-var.py | christoga/python | 1395b3177e7baf46677a7a7a4ae89d2488c6f0fa | [
"MIT"
] | null | null | null | my_name = 'Andre Christoga'
my_age = 11 # Really, this is my age
# my_height = 150 # Centimeter
# my_weight = 32 # Kilogram
# my_eyes = "Brown"
# my_teeth = "White"
print "Oh, Hello there."
print "My name is " + my_name
print "My age is 11"
print "I know, too young to code?"
| 23.25 | 36 | 0.670251 |
5153b4798f2410a6aa6709c5a6328570a85d91d6 | 3,052 | py | Python | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 2 | 2021-07-02T20:10:48.000Z | 2021-07-13T20:51:18.000Z | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 3 | 2021-06-24T13:27:21.000Z | 2021-07-30T15:37:43.000Z | src/blip_sdk/extensions/artificial_intelligence/ai_model/ai_model_extension.py | mirlarof/blip-sdk-python | f958149b2524d4340eeafad8739a33db71df45ed | [
"MIT"
] | 3 | 2021-06-23T19:53:20.000Z | 2022-01-04T17:50:44.000Z | from lime_python import Command
from ...extension_base import ExtensionBase
from .content_type import ContentType
from .uri_templates import UriTemplates
| 27.495495 | 79 | 0.564548 |
5155a6295dbb373ee9af2abbcd7551a82f2a7146 | 1,683 | py | Python | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | src/datajunction/console.py | DataJunction/datajunction | d2293255bb7df0e5144c7e448a0ca2b590b6c20f | [
"MIT"
] | null | null | null | """
DataJunction (DJ) is a metric repository.
Usage:
dj compile [REPOSITORY] [-f] [--loglevel=INFO] [--reload]
Actions:
compile Compile repository
Options:
-f, --force Force indexing. [default: false]
--loglevel=LEVEL Level for logging. [default: INFO]
--relo... | 23.054795 | 63 | 0.608437 |
5156148de28f4156b72965f292cfcca3cbc248dc | 3,617 | py | Python | main.py | yappy2000d/MoodBot | b62fc96fb15aa6f7bc95696f7a1614f1f50614dd | [
"MIT"
] | null | null | null | main.py | yappy2000d/MoodBot | b62fc96fb15aa6f7bc95696f7a1614f1f50614dd | [
"MIT"
] | null | null | null | main.py | yappy2000d/MoodBot | b62fc96fb15aa6f7bc95696f7a1614f1f50614dd | [
"MIT"
] | null | null | null | import os
from ai import model, process, vectorizer
from youtube import comment, getid, video
from linebot import LineBotApi, WebhookHandler
from linebot.exceptions import InvalidSignatureError
from linebot.models import MessageEvent, TextMessage, TextSendMessage
SECRET = os.environ['SECRET']
TOKEN = os.environ['TOK... | 31.72807 | 170 | 0.592756 |
5159402d19245aba61bb579f188067d4ee6bc977 | 274 | py | Python | vivit/extensions/secondorder/sqrt_ggn/dropout.py | PwLo3K46/vivit | 937642975be2ade122632d4eaef273461992d7ab | [
"MIT"
] | 1 | 2021-06-07T05:15:22.000Z | 2021-06-07T05:15:22.000Z | vivit/extensions/secondorder/sqrt_ggn/dropout.py | PwLo3K46/vivit | 937642975be2ade122632d4eaef273461992d7ab | [
"MIT"
] | 2 | 2021-08-10T12:45:37.000Z | 2021-08-10T12:49:51.000Z | vivit/extensions/secondorder/sqrt_ggn/dropout.py | PwLo3K46/vivit | 937642975be2ade122632d4eaef273461992d7ab | [
"MIT"
] | null | null | null | from backpack.core.derivatives.dropout import DropoutDerivatives
from vivit.extensions.secondorder.sqrt_ggn.sqrt_ggn_base import SqrtGGNBaseModule
| 30.444444 | 81 | 0.821168 |
5159b6cde26f7df203594b171f65dbf811705a8e | 1,286 | py | Python | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 4 | 2015-03-30T22:46:35.000Z | 2020-09-08T02:03:53.000Z | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 21 | 2015-02-03T23:12:36.000Z | 2017-09-15T21:03:24.000Z | phonon/registry.py | akellehe/phonon | 4b61fd6042af1bec7bc949bcc713a0dd0fcfcefb | [
"MIT"
] | 2 | 2016-08-14T20:18:52.000Z | 2019-09-30T16:02:22.000Z | import sys
import collections
import tornado
registry = Registry()
| 28.577778 | 75 | 0.618974 |
515bc2e00165e4793cb2c05d11188ceed1d51545 | 1,672 | py | Python | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | 3 | 2020-11-04T19:34:47.000Z | 2021-06-30T04:13:55.000Z | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | null | null | null | project_template/account/permission.py | AdityaBhalsod/django-rest-api-template | ae530c9c246d074707e26d9c4d6c2f15177bd1f7 | [
"Apache-2.0"
] | 1 | 2021-01-31T19:30:59.000Z | 2021-01-31T19:30:59.000Z | # -*- coding: utf-8 -*-
from rest_framework import permissions
from account.models import BlackList
| 35.574468 | 78 | 0.641746 |
515c32b2748b2c0d803dfa8b97d5d1d27008566b | 1,498 | py | Python | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | 006_multiples.py | mkduer/code-nibbles | 3482b5159bc0fdc18079bf2de27a47a77ae4753a | [
"Apache-2.0"
] | null | null | null | from helpers import Helpers
import numpy as np
def multiples(numbers: [int]) -> [int]:
"""
Multiplies all of the values in the list excepting the value at the current index
e.g. original numbers = [4, 1, 6] returns the multiples = [6, 24, 4] where the
first value is the product of 1 * 6 and does not i... | 31.208333 | 85 | 0.695594 |
515cab618ed79aaba5d009928d26db2168402cb0 | 6,387 | py | Python | tests/test_271.py | pedromtorres/TigerShark | 2790a7c03905a094b126b48387c7919c09cce238 | [
"BSD-3-Clause"
] | 24 | 2015-03-18T10:15:20.000Z | 2022-03-18T13:38:34.000Z | tests/test_271.py | tspannhw/TigerShark | 5081641f1b189a43e9eab4813256598cc0a79f6f | [
"BSD-3-Clause"
] | 6 | 2015-03-27T12:36:57.000Z | 2021-04-13T15:01:24.000Z | tests/test_271.py | tspannhw/TigerShark | 5081641f1b189a43e9eab4813256598cc0a79f6f | [
"BSD-3-Clause"
] | 21 | 2015-11-21T09:19:47.000Z | 2020-09-17T16:52:50.000Z | import unittest
import logging
import sys
import datetime
from tigershark.facade import f271
from tigershark.parsers import M271_4010_X092_A1
if __name__ == "__main__":
logging.basicConfig(
stream=sys.stderr,
level=logging.INFO,
)
unittest.main()
| 41.206452 | 78 | 0.608736 |
515d5f82ce87af195121b8847cb3e553f85bb1c4 | 194 | py | Python | src/Lexer/run.py | PetukhovVictor/compiler2 | 0bf87393ce9ecdd421393165fc14cb7f03f5e3b8 | [
"MIT"
] | 3 | 2017-09-08T21:35:31.000Z | 2019-04-24T11:48:59.000Z | src/Lexer/run.py | PetukhovVictor/compiler2 | 0bf87393ce9ecdd421393165fc14cb7f03f5e3b8 | [
"MIT"
] | 1 | 2018-11-19T15:34:00.000Z | 2018-11-19T15:35:52.000Z | src/Lexer/run.py | PetukhovVictor/compiler2 | 0bf87393ce9ecdd421393165fc14cb7f03f5e3b8 | [
"MIT"
] | 4 | 2017-03-13T06:16:48.000Z | 2019-04-24T11:49:00.000Z | from .rules import token_expressions
from .lex import lex
def run(code):
""" Wrapper to run the Lexer (with the token expressions listed here). """
return lex(code, token_expressions)
| 24.25 | 78 | 0.726804 |
515e110e923bd04c8ebed32a1acaa5cd9ac55ba1 | 943 | py | Python | 2016b/main.py | xdr940/iKaggle | cc0210e089e5f1af228f02bf67bb9a4459336722 | [
"MIT"
] | null | null | null | 2016b/main.py | xdr940/iKaggle | cc0210e089e5f1af228f02bf67bb9a4459336722 | [
"MIT"
] | null | null | null | 2016b/main.py | xdr940/iKaggle | cc0210e089e5f1af228f02bf67bb9a4459336722 | [
"MIT"
] | null | null | null | import pandas as pd
import pandas_profiling
from path import Path
import numpy as np
from scipy.stats import chi2_contingency
from collections import Counter
root = Path('/home/roit/datasets/kaggle/2016b')
dump_path = root/'dump'
ge_info = root/'gene_info'
exitnpy = False
if exitnpy==False:
genes_dic = []
g... | 21.431818 | 65 | 0.622481 |
515e89e12ec857736349c37b4aecc618592abe73 | 77 | py | Python | const.py | tfyoung/wattsonhass | eece56779561277fa9f2928230ac39bd43329344 | [
"Apache-2.0"
] | 1 | 2021-02-28T12:07:20.000Z | 2021-02-28T12:07:20.000Z | const.py | tfyoung/wattsonhass | eece56779561277fa9f2928230ac39bd43329344 | [
"Apache-2.0"
] | null | null | null | const.py | tfyoung/wattsonhass | eece56779561277fa9f2928230ac39bd43329344 | [
"Apache-2.0"
] | null | null | null | """Constants for the Wattson power meter integration."""
DOMAIN = "wattson"
| 19.25 | 56 | 0.727273 |
515f0a6a29381f3507258c4ec4a21b66fa8b9463 | 2,808 | py | Python | RL/test_depths.py | RECON-Labs-Inc/svox2 | 2946c1573fc4c8c8f378bf8154c29ba8d62af927 | [
"BSD-2-Clause"
] | null | null | null | RL/test_depths.py | RECON-Labs-Inc/svox2 | 2946c1573fc4c8c8f378bf8154c29ba8d62af927 | [
"BSD-2-Clause"
] | null | null | null | RL/test_depths.py | RECON-Labs-Inc/svox2 | 2946c1573fc4c8c8f378bf8154c29ba8d62af927 | [
"BSD-2-Clause"
] | null | null | null | import sys
from pathlib import Path
from datetime import datetime
import argparse
import json
import torch
from torchvision.utils import save_image
import torchvision
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.metrics import pairwise_distances_argmin
from sklea... | 26.490566 | 74 | 0.654915 |
515f21eaa0b5ed2cf1b0e5658806e586107dfcd7 | 1,376 | py | Python | examples/mxnet/dis_kvstore/client.py | tqchen/dgl | d57ff78da11193fbbee7f37a69fcfe1c14da2ae4 | [
"Apache-2.0"
] | 2 | 2020-05-10T14:06:12.000Z | 2021-01-01T02:57:20.000Z | examples/mxnet/dis_kvstore/client.py | tqchen/dgl | d57ff78da11193fbbee7f37a69fcfe1c14da2ae4 | [
"Apache-2.0"
] | null | null | null | examples/mxnet/dis_kvstore/client.py | tqchen/dgl | d57ff78da11193fbbee7f37a69fcfe1c14da2ae4 | [
"Apache-2.0"
] | null | null | null | # This is a simple MXNet server demo shows how to use DGL distributed kvstore.
import dgl
import argparse
import mxnet as mx
ID = []
ID.append(mx.nd.array([0,1], dtype='int64'))
ID.append(mx.nd.array([2,3], dtype='int64'))
ID.append(mx.nd.array([4,5], dtype='int64'))
ID.append(mx.nd.array([6,7], dtype='int64'))
edata... | 32.761905 | 110 | 0.631541 |
515f518715b6288fc69c17ec11ceead08e8d514f | 9,535 | py | Python | qtgui.py | izaletel/NeuroMorpho-Access-Tool | 3441785edbddaf4b357377e9c7897dbbad42dc87 | [
"MIT"
] | null | null | null | qtgui.py | izaletel/NeuroMorpho-Access-Tool | 3441785edbddaf4b357377e9c7897dbbad42dc87 | [
"MIT"
] | null | null | null | qtgui.py | izaletel/NeuroMorpho-Access-Tool | 3441785edbddaf4b357377e9c7897dbbad42dc87 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
################################################################################
## Form generated from reading UI file 'qtgui.ui'
##
## Created by: Qt User Interface Compiler version 6.2.3
##
## WARNING! All changes made in this file will be lost when recompiling UI file!
#####################... | 60.732484 | 140 | 0.724698 |
515fe6ec967d9adf1eabbb5dad94f9dd79c8c9e6 | 90 | py | Python | tests/test_wb2k.py | reillysiemens/wb2k | 54edaa1afe4904a78746356555468d7c04685b28 | [
"ISC"
] | 6 | 2016-06-09T04:06:29.000Z | 2019-12-22T15:29:54.000Z | tests/test_wb2k.py | reillysiemens/wb2k | 54edaa1afe4904a78746356555468d7c04685b28 | [
"ISC"
] | 19 | 2016-06-03T22:00:13.000Z | 2019-09-25T09:03:16.000Z | tests/test_wb2k.py | reillysiemens/wb2k | 54edaa1afe4904a78746356555468d7c04685b28 | [
"ISC"
] | 4 | 2016-10-06T20:45:44.000Z | 2017-10-28T22:01:20.000Z | # TODO: Write actual tests. This just makes pytest-cov pick up on the module.
import wb2k
| 30 | 77 | 0.766667 |
516143d6f8476fa2b9d91fe746b6871aa05baca3 | 4,690 | py | Python | plugins/modules/tag_member.py | robertcsapo/dnacenter-ansible | 33f776f8c0bc7113da73191c301dd1807e6b4a43 | [
"MIT"
] | null | null | null | plugins/modules/tag_member.py | robertcsapo/dnacenter-ansible | 33f776f8c0bc7113da73191c301dd1807e6b4a43 | [
"MIT"
] | null | null | null | plugins/modules/tag_member.py | robertcsapo/dnacenter-ansible | 33f776f8c0bc7113da73191c301dd1807e6b4a43 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2021, Cisco Systems
# GNU General Public License v3.0+ (see LICENSE or https://www.gnu.org/licenses/gpl-3.0.txt)
DOCUMENTATION = r"""
---
module: tag_member
short_description: Manage TagMember objects of Tag
description:
- Returns tag members specified by id.... | 29.3125 | 117 | 0.715991 |
51617330e9ebead5bbb61a5ae564be20889db321 | 893 | py | Python | unittest_reinvent/scoring_tests/scoring_components/test_tanimoto_similarity.py | MolecularAI/reinvent-scoring | f7e052ceeffd29e17e1672c33607189873c82a45 | [
"MIT"
] | null | null | null | unittest_reinvent/scoring_tests/scoring_components/test_tanimoto_similarity.py | MolecularAI/reinvent-scoring | f7e052ceeffd29e17e1672c33607189873c82a45 | [
"MIT"
] | 2 | 2021-11-01T23:19:42.000Z | 2021-11-22T23:41:39.000Z | unittest_reinvent/scoring_tests/scoring_components/test_tanimoto_similarity.py | MolecularAI/reinvent-scoring | f7e052ceeffd29e17e1672c33607189873c82a45 | [
"MIT"
] | 2 | 2021-11-18T13:14:22.000Z | 2022-03-16T07:52:57.000Z | import unittest
import numpy.testing as npt
from unittest_reinvent.fixtures.test_data import CELECOXIB, CELECOXIB_C, BUTANE
from unittest_reinvent.scoring_tests.scoring_components.fixtures import score_single, score, instantiate_component
| 31.892857 | 114 | 0.753639 |
516282162e672e92cb14c5b353f7f1dcb8f0e66a | 2,318 | py | Python | python-project/methods/KDE.py | ferjorosa/bayesian-latent-forests | 3d9e19f1d0be1e4cca0b390866589061a670cc20 | [
"Apache-2.0"
] | null | null | null | python-project/methods/KDE.py | ferjorosa/bayesian-latent-forests | 3d9e19f1d0be1e4cca0b390866589061a670cc20 | [
"Apache-2.0"
] | null | null | null | python-project/methods/KDE.py | ferjorosa/bayesian-latent-forests | 3d9e19f1d0be1e4cca0b390866589061a670cc20 | [
"Apache-2.0"
] | null | null | null | import statsmodels.api as sm
import numpy as np
import os
import time
import json
| 36.793651 | 126 | 0.595772 |
5162cae16f1582e2cd15f8c44ff6385eae028502 | 3,471 | py | Python | pay-api/tests/unit/services/test_auth.py | stevenc987/sbc-pay | 04f02f362f88a30c082b0643583b8d0ebff6063f | [
"Apache-2.0"
] | null | null | null | pay-api/tests/unit/services/test_auth.py | stevenc987/sbc-pay | 04f02f362f88a30c082b0643583b8d0ebff6063f | [
"Apache-2.0"
] | null | null | null | pay-api/tests/unit/services/test_auth.py | stevenc987/sbc-pay | 04f02f362f88a30c082b0643583b8d0ebff6063f | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Province of British Columbia
#
# 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 agre... | 35.060606 | 91 | 0.682224 |
5163521d44aed6af36c7ee8ac7cba90723cfbc26 | 49 | py | Python | api/common.py | ewangplay/wallet-sdk-py | 9f55ffa6bb7968192fd88e2b2dddf04c997874ab | [
"Apache-2.0"
] | 13 | 2018-03-06T10:04:26.000Z | 2021-08-12T11:25:29.000Z | api/common.py | ewangplay/wallet-sdk-py | 9f55ffa6bb7968192fd88e2b2dddf04c997874ab | [
"Apache-2.0"
] | 42 | 2018-02-08T04:32:56.000Z | 2018-09-06T07:30:58.000Z | api/common.py | ewangplay/wallet-sdk-py | 9f55ffa6bb7968192fd88e2b2dddf04c997874ab | [
"Apache-2.0"
] | 15 | 2018-02-11T09:29:31.000Z | 2021-07-04T07:33:22.000Z | from cryption.crypto import sign
VERSION = "v1"
| 12.25 | 32 | 0.755102 |
5163aaae4b007b773986e024d8629d4d1f39a0b9 | 589 | py | Python | tests/unit/test_subscription.py | eldarion/braintree_python | 8be3f69fb9a4171c5e9be049c8440fcc4f79fb40 | [
"MIT"
] | 3 | 2015-11-05T08:57:12.000Z | 2016-07-17T18:10:55.000Z | tests/unit/test_subscription.py | eldarion/braintree_python | 8be3f69fb9a4171c5e9be049c8440fcc4f79fb40 | [
"MIT"
] | null | null | null | tests/unit/test_subscription.py | eldarion/braintree_python | 8be3f69fb9a4171c5e9be049c8440fcc4f79fb40 | [
"MIT"
] | null | null | null | from tests.test_helper import *
| 34.647059 | 64 | 0.633277 |
5164ffb41b1068e6e8353350ba4bc5a194d1426f | 2,848 | py | Python | testNim.py | PauloHSNeto/Ciencia-de-Computa-o-CourseEra | 230281ba7227348ed2d27bb20039aed223244d94 | [
"bzip2-1.0.6"
] | null | null | null | testNim.py | PauloHSNeto/Ciencia-de-Computa-o-CourseEra | 230281ba7227348ed2d27bb20039aed223244d94 | [
"bzip2-1.0.6"
] | null | null | null | testNim.py | PauloHSNeto/Ciencia-de-Computa-o-CourseEra | 230281ba7227348ed2d27bb20039aed223244d94 | [
"bzip2-1.0.6"
] | null | null | null | computador = 0
usuario = 0
rodada = 0
print("Bem-vindo ao jogo do NIM! Escolha:")
print(" ")
print("1 - para jogar uma partida isolada ")
tipo_jogo = int(input("2 - para jogar um campeonato "))
print(" ")
if ( tipo_jogo == 1 ):
print("Voce escolheu partida isolada!")
if ( tipo_jogo == 2):
print("Voce escolheu... | 29.061224 | 79 | 0.466643 |
516516f68aa7cecc66414e1c2f63b93bd749ec5c | 59 | py | Python | example_snippets/multimenus_snippets/NewSnippets/SymPy/Manipulating expressions/Miscellaneous/Simplify Bessel functions.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/NewSnippets/SymPy/Manipulating expressions/Miscellaneous/Simplify Bessel functions.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/NewSnippets/SymPy/Manipulating expressions/Miscellaneous/Simplify Bessel functions.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | 1 | 2021-02-04T04:51:48.000Z | 2021-02-04T04:51:48.000Z | expr = besselj(x, z*polar_lift(-1))
expr = besselsimp(expr) | 29.5 | 35 | 0.711864 |
516615c0dc774d664f76be40cc3b724ef7f05aa9 | 15,206 | py | Python | mbuild/formats/hoomd_simulation.py | dcardenasv/mbuild | 20c13f6bb66c6b023b07d7a2b2e4ad0a5073d727 | [
"MIT"
] | null | null | null | mbuild/formats/hoomd_simulation.py | dcardenasv/mbuild | 20c13f6bb66c6b023b07d7a2b2e4ad0a5073d727 | [
"MIT"
] | null | null | null | mbuild/formats/hoomd_simulation.py | dcardenasv/mbuild | 20c13f6bb66c6b023b07d7a2b2e4ad0a5073d727 | [
"MIT"
] | null | null | null | import warnings
import itertools
import numpy as np
import operator
from collections import namedtuple
import parmed as pmd
import mbuild as mb
from mbuild.utils.sorting import natural_sort
from mbuild.utils.io import import_
from mbuild.utils.conversion import RB_to_OPLS
from .hoomd_snapshot import to_hoomdsnapshot
... | 40.657754 | 85 | 0.636262 |
516648ad34a16a2a40620bcd9fd2d7782735d4c0 | 274 | py | Python | Utility.py | YiFanChen99/PyQtComponent | fdf83d6e3f8a448acce866db85ce418ce0df121e | [
"MIT"
] | null | null | null | Utility.py | YiFanChen99/PyQtComponent | fdf83d6e3f8a448acce866db85ce418ce0df121e | [
"MIT"
] | null | null | null | Utility.py | YiFanChen99/PyQtComponent | fdf83d6e3f8a448acce866db85ce418ce0df121e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from PyQt5.QtWidgets import *
| 19.571429 | 36 | 0.591241 |
51666c4b9d618cca914f038ac201e94c03f87f6e | 34,907 | py | Python | post_optimization_studies/mad_analyses/four_cuts_eff_flow_chart/Output/Histos/MadAnalysis5job_0/selection_4.py | sheride/axion_pheno | 7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5 | [
"MIT"
] | null | null | null | post_optimization_studies/mad_analyses/four_cuts_eff_flow_chart/Output/Histos/MadAnalysis5job_0/selection_4.py | sheride/axion_pheno | 7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5 | [
"MIT"
] | null | null | null | post_optimization_studies/mad_analyses/four_cuts_eff_flow_chart/Output/Histos/MadAnalysis5job_0/selection_4.py | sheride/axion_pheno | 7d3fc08f5ae5b17a3500eba19a2e43f87f076ce5 | [
"MIT"
] | null | null | null |
# Running!
if __name__ == '__main__':
selection_4()
| 179.93299 | 1,742 | 0.742373 |
51668e773b785fc937e32ac3a240021ec3f1a368 | 595 | py | Python | homework/jenya_s/homework12.py | aodarc/LIST-010 | 4579a047ca1ae0266f368349ea4536c6eb367f97 | [
"MIT"
] | null | null | null | homework/jenya_s/homework12.py | aodarc/LIST-010 | 4579a047ca1ae0266f368349ea4536c6eb367f97 | [
"MIT"
] | 4 | 2018-12-19T13:41:12.000Z | 2019-01-14T15:11:11.000Z | homework/jenya_s/homework12.py | aodarc/LIST-010 | 4579a047ca1ae0266f368349ea4536c6eb367f97 | [
"MIT"
] | null | null | null | import os
a = Cpypl(r"C:\Users\admin\Desktop\python test")
print(a.file_list())
| 29.75 | 88 | 0.480672 |
5166a904988e89265b852c411614fc81169a4bf3 | 68 | py | Python | GCC-paddle/gcc/models/__init__.py | S-HuaBomb/Contrib | 10596814bb98c9e2499e4240e56207dc3b547959 | [
"Apache-2.0"
] | 243 | 2020-06-16T08:06:57.000Z | 2022-03-31T10:09:37.000Z | GCC-paddle/gcc/models/__init__.py | S-HuaBomb/Contrib | 10596814bb98c9e2499e4240e56207dc3b547959 | [
"Apache-2.0"
] | 34 | 2020-02-20T11:04:58.000Z | 2022-03-12T00:54:26.000Z | GCC-paddle/gcc/models/__init__.py | S-HuaBomb/Contrib | 10596814bb98c9e2499e4240e56207dc3b547959 | [
"Apache-2.0"
] | 49 | 2020-06-28T02:37:17.000Z | 2022-03-29T08:07:35.000Z | from .graph_encoder import GraphEncoder
__all__ = ["GraphEncoder"]
| 17 | 39 | 0.794118 |
516815174595feb3cdc84a37dc37e334c26007d4 | 941 | py | Python | sme_material_apps/core/migrations/0005_material_categoria.py | luizhpriotto/piloto_apresentacao | c968025db819633ee4cd75df5357ab6a4ab7d9af | [
"MIT"
] | null | null | null | sme_material_apps/core/migrations/0005_material_categoria.py | luizhpriotto/piloto_apresentacao | c968025db819633ee4cd75df5357ab6a4ab7d9af | [
"MIT"
] | null | null | null | sme_material_apps/core/migrations/0005_material_categoria.py | luizhpriotto/piloto_apresentacao | c968025db819633ee4cd75df5357ab6a4ab7d9af | [
"MIT"
] | null | null | null | # Generated by Django 2.2.9 on 2020-07-20 19:50
from django.db import migrations
import multiselectfield.db.fields
| 47.05 | 579 | 0.676939 |
516a41921de7bc6d406a64cbe02684f2db6fb80f | 833 | py | Python | RT_Group/main/models.py | DiForzza/site_one | 440efe197e1ecaab3416460f1827738d160e48b6 | [
"Apache-2.0"
] | null | null | null | RT_Group/main/models.py | DiForzza/site_one | 440efe197e1ecaab3416460f1827738d160e48b6 | [
"Apache-2.0"
] | null | null | null | RT_Group/main/models.py | DiForzza/site_one | 440efe197e1ecaab3416460f1827738d160e48b6 | [
"Apache-2.0"
] | null | null | null | from django.db import models
import datetime
| 25.242424 | 81 | 0.681873 |
516aa9e7ed14b4702820fbf786e6257801f2f755 | 364 | py | Python | emapp/auth.py | azrle/flask-restful-emapp-demo | 4be19725538a5e961afb77a1495d6c57ae0be89a | [
"MIT"
] | null | null | null | emapp/auth.py | azrle/flask-restful-emapp-demo | 4be19725538a5e961afb77a1495d6c57ae0be89a | [
"MIT"
] | null | null | null | emapp/auth.py | azrle/flask-restful-emapp-demo | 4be19725538a5e961afb77a1495d6c57ae0be89a | [
"MIT"
] | null | null | null | from functools import wraps
from flask import current_app, request
from flask_restful import abort
| 26 | 52 | 0.667582 |
5a8c5dccd774b45cfea010980c9e6fb6227679df | 3,307 | py | Python | Python/data/preprocess.py | SCAN-NRAD/BrainRegressorCNN | 7917c6a6c4e3728db17ec762c63f8253392e6c04 | [
"BSD-3-Clause"
] | 1 | 2022-02-11T18:49:34.000Z | 2022-02-11T18:49:34.000Z | Python/data/preprocess.py | SCAN-NRAD/BrainRegressorCNN | 7917c6a6c4e3728db17ec762c63f8253392e6c04 | [
"BSD-3-Clause"
] | null | null | null | Python/data/preprocess.py | SCAN-NRAD/BrainRegressorCNN | 7917c6a6c4e3728db17ec762c63f8253392e6c04 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import scipy.ndimage.measurements as scipy_measurements
import miapy.data.transformation as miapy_tfm
def get_bounding_box(img):
a = np.argwhere(img)
min0, min1, min2 = a.min(0)
max0, max1, max2 = a.max(0)
return [min0, max0, min1, max1, min2, max2]
# Apply reverse center centr... | 30.063636 | 89 | 0.558512 |
5a8e3a68bba6328be4a0daef3330c63f8527f035 | 1,828 | py | Python | conversion_service/config/settings/worker.py | das-g/osmaxx-postgis-conversion | c41aba1cb0fd112de12c8c0540584b7caa651150 | [
"MIT"
] | null | null | null | conversion_service/config/settings/worker.py | das-g/osmaxx-postgis-conversion | c41aba1cb0fd112de12c8c0540584b7caa651150 | [
"MIT"
] | null | null | null | conversion_service/config/settings/worker.py | das-g/osmaxx-postgis-conversion | c41aba1cb0fd112de12c8c0540584b7caa651150 | [
"MIT"
] | null | null | null | # pylint: skip-file
import random
import string
from .common import * # noqa
# we don't use user sessions, so it doesn't matter if we recreate the secret key on each startup
SECRET_KEY = ''.join(random.choice(string.ascii_uppercase + string.digits) for _ in range(30))
# disable databases for the worker
DATABASES =... | 26.114286 | 96 | 0.461707 |
5a9109ad68997c62118ea1f04a5cdac8b71bc9b1 | 2,289 | py | Python | categorias.py | OrlandoBitencourt/proway_python_exercicio1 | 4fe2aa48aab350cd5e949d95feefe37d1b2af387 | [
"MIT"
] | null | null | null | categorias.py | OrlandoBitencourt/proway_python_exercicio1 | 4fe2aa48aab350cd5e949d95feefe37d1b2af387 | [
"MIT"
] | null | null | null | categorias.py | OrlandoBitencourt/proway_python_exercicio1 | 4fe2aa48aab350cd5e949d95feefe37d1b2af387 | [
"MIT"
] | null | null | null | import main
| 31.791667 | 103 | 0.553954 |
5a9137e47101ff21c41e130f1251b26b67a1b350 | 708 | py | Python | test/espnet2/layers/test_log_mel.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 5,053 | 2017-12-13T06:21:41.000Z | 2022-03-31T13:38:29.000Z | test/espnet2/layers/test_log_mel.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 3,666 | 2017-12-14T05:58:50.000Z | 2022-03-31T22:11:49.000Z | test/espnet2/layers/test_log_mel.py | texpomru13/espnet | 7ef005e832e2fb033f356c16f54e0f08762fb4b0 | [
"Apache-2.0"
] | 1,709 | 2017-12-13T01:02:42.000Z | 2022-03-31T11:57:45.000Z | import torch
from espnet2.layers.log_mel import LogMel
| 22.125 | 65 | 0.610169 |
5a91d9da8ada11831ecc164dcca33401ae0379e5 | 6,347 | py | Python | test/database/test_raw_scraping_data.py | AMHesch/aws-allowlister | b15309cc581b3cfba97733806df4ba2afa73fbee | [
"MIT"
] | 180 | 2021-02-02T21:31:56.000Z | 2022-03-19T19:52:08.000Z | test/database/test_raw_scraping_data.py | AMHesch/aws-allowlister | b15309cc581b3cfba97733806df4ba2afa73fbee | [
"MIT"
] | 36 | 2021-02-05T19:19:26.000Z | 2022-01-27T05:01:08.000Z | test/database/test_raw_scraping_data.py | AMHesch/aws-allowlister | b15309cc581b3cfba97733806df4ba2afa73fbee | [
"MIT"
] | 28 | 2021-02-04T19:19:43.000Z | 2022-03-18T21:27:41.000Z | import unittest
import json
from aws_allowlister.database.database import connect_db
from aws_allowlister.database.raw_scraping_data import RawScrapingData
db_session = connect_db()
raw_scraping_data = RawScrapingData()
| 144.25 | 4,496 | 0.722073 |
5a9713280ba850f01b042a95ba2fef86e7e5c38e | 5,533 | py | Python | GenPasswd/genpasswd.py | Gowthaman1401/GenPass | dd6450d80e99648f1d23cb0e034189b5fe56bbd1 | [
"MIT"
] | null | null | null | GenPasswd/genpasswd.py | Gowthaman1401/GenPass | dd6450d80e99648f1d23cb0e034189b5fe56bbd1 | [
"MIT"
] | null | null | null | GenPasswd/genpasswd.py | Gowthaman1401/GenPass | dd6450d80e99648f1d23cb0e034189b5fe56bbd1 | [
"MIT"
] | null | null | null | import random
from . import constants
from . import exceptions
| 44.98374 | 165 | 0.590638 |
5a97b4378066662b1ab8308caa3ca06c47283ec7 | 43,014 | py | Python | AESDataV3.py | JHerrmann01/AESDataManipulator | 836ee74326ee0c35435b5fe0bb9875d392b2cc7c | [
"Apache-2.0"
] | null | null | null | AESDataV3.py | JHerrmann01/AESDataManipulator | 836ee74326ee0c35435b5fe0bb9875d392b2cc7c | [
"Apache-2.0"
] | null | null | null | AESDataV3.py | JHerrmann01/AESDataManipulator | 836ee74326ee0c35435b5fe0bb9875d392b2cc7c | [
"Apache-2.0"
] | null | null | null | ###American Environmental Solutions Data Manipulation###
## Created by Jeremy Herrmann ##
##Import Libraries##
from __future__ import print_function
from os.path import join, dirname, abspath
import xlrd
from xlrd.sheet import ctype_text
import xlsxwriter
####################
print("Beginning... | 46.907306 | 241 | 0.632561 |
5a9823ed404374fd6e8abf22e09c47cf13d68464 | 6,282 | py | Python | lhrhost/robot/robot.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | null | null | null | lhrhost/robot/robot.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | null | null | null | lhrhost/robot/robot.py | ethanjli/liquid-handling-robotics | 999ab03c225b4c5382ab9fcac6a4988d0c232c67 | [
"BSD-3-Clause"
] | 1 | 2018-08-03T17:17:31.000Z | 2018-08-03T17:17:31.000Z | """Abstractions for a liquid-handling robot."""
# Standard imports
import asyncio
import logging
# Local package imports
from lhrhost.robot.p_axis import Axis as PAxis
from lhrhost.robot.x_axis import Axis as XAxis
from lhrhost.robot.y_axis import Axis as YAxis
from lhrhost.robot.z_axis import Axis as ZAxis
from lhrh... | 37.616766 | 81 | 0.650748 |
5a98fddec1d3cbb33837e1f1d6a6a5b060873682 | 12,100 | py | Python | python/tinkoff/cloud/longrunning/v1/longrunning_pb2_grpc.py | qwertBR/voicekit-examples | 273a63e4cf11841339108cdcdf8b485b7c96298a | [
"Apache-2.0"
] | 3 | 2022-02-11T04:34:18.000Z | 2022-03-29T19:35:57.000Z | python/tinkoff/cloud/longrunning/v1/longrunning_pb2_grpc.py | qwertBR/voicekit-examples | 273a63e4cf11841339108cdcdf8b485b7c96298a | [
"Apache-2.0"
] | 3 | 2022-01-27T15:40:38.000Z | 2022-03-31T10:03:35.000Z | python/tinkoff/cloud/longrunning/v1/longrunning_pb2_grpc.py | qwertBR/voicekit-examples | 273a63e4cf11841339108cdcdf8b485b7c96298a | [
"Apache-2.0"
] | 5 | 2022-01-27T15:15:06.000Z | 2022-03-24T22:06:18.000Z | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
from tinkoff.cloud.longrunning.v1 import longrunning_pb2 as tinkoff_dot_cloud_dot_lon... | 50.416667 | 144 | 0.705702 |
5a9ae867d70612f2ffe19fc29174270aa28f529d | 602 | py | Python | src/astro/utils/schema_util.py | malthe/astro | 61036ab08b2826136f64fdbfc6ca21b61643a8a0 | [
"Apache-2.0"
] | null | null | null | src/astro/utils/schema_util.py | malthe/astro | 61036ab08b2826136f64fdbfc6ca21b61643a8a0 | [
"Apache-2.0"
] | null | null | null | src/astro/utils/schema_util.py | malthe/astro | 61036ab08b2826136f64fdbfc6ca21b61643a8a0 | [
"Apache-2.0"
] | null | null | null | import os
from airflow.providers.postgres.hooks.postgres import PostgresHook
from psycopg2 import sql
| 28.666667 | 80 | 0.682724 |
5a9d0c2e4e731186b891bcd4f534edfa2b33e353 | 1,599 | py | Python | references/stm32_parsing_sim/stm32parser.py | koson/OTA_update_STM32_using_ESP32 | 7fe7ae64d5290c0a453c29d787b5fe9456910e96 | [
"MIT"
] | 155 | 2020-02-15T06:54:15.000Z | 2021-09-16T07:19:19.000Z | references/stm32_parsing_sim/stm32parser.py | ksmola/OTA_update_STM32_using_ESP32 | dd616a1212da8f874e4826d63cfbd4c3b9ad2df2 | [
"MIT"
] | 8 | 2020-10-09T08:56:52.000Z | 2021-09-01T03:42:49.000Z | references/stm32_parsing_sim/stm32parser.py | ksmola/OTA_update_STM32_using_ESP32 | dd616a1212da8f874e4826d63cfbd4c3b9ad2df2 | [
"MIT"
] | 25 | 2020-03-16T04:41:12.000Z | 2021-08-19T11:49:40.000Z |
import time
import math as m
start = time.time()
stm_parser()
print('Time (ms):', 1000*(time.time() - start))
| 20.766234 | 77 | 0.499062 |
5a9d5971fc9f0f68b3b0383f6727b85c4065e172 | 3,034 | py | Python | sw/device/silicon_creator/lib/crypto/tests/testvectors/wycheproof/rsa_3072_verify_parse_testvectors.py | matutem/opentitan | a41c0a57568f1dc8263a4ecc3913f190750959f5 | [
"Apache-2.0"
] | null | null | null | sw/device/silicon_creator/lib/crypto/tests/testvectors/wycheproof/rsa_3072_verify_parse_testvectors.py | matutem/opentitan | a41c0a57568f1dc8263a4ecc3913f190750959f5 | [
"Apache-2.0"
] | null | null | null | sw/device/silicon_creator/lib/crypto/tests/testvectors/wycheproof/rsa_3072_verify_parse_testvectors.py | matutem/opentitan | a41c0a57568f1dc8263a4ecc3913f190750959f5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
import argparse
import json
import math
import sys
import hjson
if __name__ == '__main__':
sys.exit(main())
| 28.622642 | 85 | 0.586684 |
5a9e608dad9679e93ef744bc1105dbf95d043cce | 2,479 | py | Python | Tools/boot_now.py | wms124/PX4_1.4.1_Back-up | 9d6d903a8f46346281ae11104c47f1904da05e37 | [
"BSD-3-Clause"
] | 4,224 | 2015-01-02T11:51:02.000Z | 2020-10-27T23:42:28.000Z | Tools/boot_now.py | wms124/PX4_1.4.1_Back-up | 9d6d903a8f46346281ae11104c47f1904da05e37 | [
"BSD-3-Clause"
] | 11,736 | 2015-01-01T11:59:16.000Z | 2020-10-28T17:13:38.000Z | Tools/boot_now.py | wms124/PX4_1.4.1_Back-up | 9d6d903a8f46346281ae11104c47f1904da05e37 | [
"BSD-3-Clause"
] | 11,850 | 2015-01-02T14:54:47.000Z | 2020-10-28T16:42:47.000Z | #!/usr/bin/env python
############################################################################
#
# Copyright (C) 2012-2015 PX4 Development Team. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are me... | 41.316667 | 108 | 0.702299 |
5aa27bded824f5d2ed1668d9730e5fcc75bdeb84 | 550 | py | Python | cc_server/commons/database.py | curious-containers/cc-server | 3d4f0e39d2a974ee239a455b238ac8a3bfcddb73 | [
"Apache-2.0"
] | 4 | 2016-09-05T15:01:01.000Z | 2016-11-17T12:36:41.000Z | cc_server/commons/database.py | curious-containers/cc-server | 3d4f0e39d2a974ee239a455b238ac8a3bfcddb73 | [
"Apache-2.0"
] | null | null | null | cc_server/commons/database.py | curious-containers/cc-server | 3d4f0e39d2a974ee239a455b238ac8a3bfcddb73 | [
"Apache-2.0"
] | null | null | null | import pymongo
| 28.947368 | 76 | 0.558182 |
5aa3314ea9abea60e379f77782cb7a74e3c4aa9a | 543 | py | Python | coord2vec/evaluation/visualizations/tests/test_bokeh_pr_curve.py | jonzarecki/coord2vec | 4f267fdd87af7b3d3558ca834b88e9ab7c309c18 | [
"Apache-2.0"
] | null | null | null | coord2vec/evaluation/visualizations/tests/test_bokeh_pr_curve.py | jonzarecki/coord2vec | 4f267fdd87af7b3d3558ca834b88e9ab7c309c18 | [
"Apache-2.0"
] | null | null | null | coord2vec/evaluation/visualizations/tests/test_bokeh_pr_curve.py | jonzarecki/coord2vec | 4f267fdd87af7b3d3558ca834b88e9ab7c309c18 | [
"Apache-2.0"
] | 1 | 2021-01-25T09:21:17.000Z | 2021-01-25T09:21:17.000Z | from unittest import TestCase
import numpy as np
from bokeh.models import LayoutDOM
from coord2vec.evaluation.visualizations.bokeh_plots import bokeh_pr_curve_from_y_proba
| 30.166667 | 96 | 0.740331 |
5aa44f0e70c5feb1742576c75322458cf3b62dfc | 5,267 | py | Python | scripts/pyBusPirateLite/shtxx.py | bopopescu/Bus-Pirate-1 | 62a449f4aa6edb2160e00537f06024b2e1ce6c48 | [
"CC0-1.0"
] | null | null | null | scripts/pyBusPirateLite/shtxx.py | bopopescu/Bus-Pirate-1 | 62a449f4aa6edb2160e00537f06024b2e1ce6c48 | [
"CC0-1.0"
] | null | null | null | scripts/pyBusPirateLite/shtxx.py | bopopescu/Bus-Pirate-1 | 62a449f4aa6edb2160e00537f06024b2e1ce6c48 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
#based on Microwire.py and hackaday buspirate/sht tutorial
import sys,time
from optparse import OptionParser
from pyBusPirateLite.RAW_WIRE import *
if __name__ == '__main__':
main()
| 30.445087 | 181 | 0.63034 |
5aa4c977dc126a0fbb76c33235561df665c5a977 | 10,248 | py | Python | pyalp/stimulus/film.py | BaptisteLefebvre/pyalp | 05cb8ff9e66f95ed9c70a8ab8a91c78794f7350a | [
"MIT"
] | 1 | 2020-11-09T09:23:11.000Z | 2020-11-09T09:23:11.000Z | pyalp/stimulus/film.py | BaptisteLefebvre/pyalp | 05cb8ff9e66f95ed9c70a8ab8a91c78794f7350a | [
"MIT"
] | null | null | null | pyalp/stimulus/film.py | BaptisteLefebvre/pyalp | 05cb8ff9e66f95ed9c70a8ab8a91c78794f7350a | [
"MIT"
] | 1 | 2020-11-09T09:23:19.000Z | 2020-11-09T09:23:19.000Z | import gc
import os
import pyalp.io
import pyalp.sequence
import pyalp.utils
from .base import Stimulus
| 37.265455 | 119 | 0.58509 |
5aa5b513bf2a9038fbb780c73e2c734ede5749d9 | 1,328 | py | Python | python/example_code/s3/s3-python-example-download-file.py | AkhmadRiswanda/aws-doc-sdk-examples | 46dbd6e1002f4d5c056df3eb478c318501782a17 | [
"Apache-2.0"
] | null | null | null | python/example_code/s3/s3-python-example-download-file.py | AkhmadRiswanda/aws-doc-sdk-examples | 46dbd6e1002f4d5c056df3eb478c318501782a17 | [
"Apache-2.0"
] | null | null | null | python/example_code/s3/s3-python-example-download-file.py | AkhmadRiswanda/aws-doc-sdk-examples | 46dbd6e1002f4d5c056df3eb478c318501782a17 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010-2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# This file is licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License. A copy of the
# License is located at
#
# http://aws.amazon.com/apache2.0/
#
# This f... | 32.390244 | 88 | 0.718373 |
5aa5bff8e0546b4cefb038da047c7522a33ff849 | 788 | py | Python | screenpy/questions/text_of_the_alert.py | perrygoy/screenpy | 862c0d7e5ff9f1265e520ab383c04ddbd4d060eb | [
"MIT"
] | 39 | 2019-03-22T15:18:23.000Z | 2022-02-23T17:32:03.000Z | screenpy/questions/text_of_the_alert.py | perrygoy/screenpy | 862c0d7e5ff9f1265e520ab383c04ddbd4d060eb | [
"MIT"
] | 63 | 2019-07-17T06:25:19.000Z | 2022-01-13T07:03:53.000Z | screenpy/questions/text_of_the_alert.py | bandophahita/screenpy | db0f3ef91a891b9d095016d83fa4b589620808ce | [
"MIT"
] | 15 | 2019-07-09T11:02:56.000Z | 2021-12-24T07:43:56.000Z | """
Investigate the text of an alert.
"""
from screenpy.abilities import BrowseTheWeb
from screenpy.actor import Actor
from screenpy.pacing import beat
| 24.625 | 77 | 0.648477 |
5aa673e34f00e357af0fafa959cade5423c31460 | 418 | py | Python | 4_parallel_execution/purethreads.py | TihonV/pygoexamples | ca9604862d08145057aefc60cd0f9b77c9f5346a | [
"MIT"
] | 18 | 2020-01-23T21:20:47.000Z | 2022-02-20T19:10:02.000Z | 4_parallel_execution/purethreads.py | TihonV/pygoexamples | ca9604862d08145057aefc60cd0f9b77c9f5346a | [
"MIT"
] | null | null | null | 4_parallel_execution/purethreads.py | TihonV/pygoexamples | ca9604862d08145057aefc60cd0f9b77c9f5346a | [
"MIT"
] | 4 | 2019-08-03T12:59:53.000Z | 2022-02-07T23:43:35.000Z | import time
from threading import Thread
COUNT = 50000000
half_count = int(COUNT/2)
t1 = Thread(target=countdown, args=(half_count,))
t2 = Thread(target=countdown, args=(half_count,))
start = time.time()
t1.start()
t2.start()
t1.join()
t2.join()
end = time.time()
print('Time taken in seconds -', end - start)
| 17.416667 | 51 | 0.657895 |
5aab652c059c797506557e8a980477db680cb80f | 6,829 | py | Python | DPythonS89/test.py | Synchronicity89/Lean | 564af47ea980cf0524874643c7190da82236bcfb | [
"Apache-2.0"
] | null | null | null | DPythonS89/test.py | Synchronicity89/Lean | 564af47ea980cf0524874643c7190da82236bcfb | [
"Apache-2.0"
] | 1 | 2020-08-25T03:02:47.000Z | 2020-08-25T03:02:47.000Z | DPythonS89/test.py | Synchronicity89/Lean | 564af47ea980cf0524874643c7190da82236bcfb | [
"Apache-2.0"
] | null | null | null | from clr import AddReference
import pandas
AddReference("System")
AddReference("QuantConnect.Research")
AddReference("QuantConnect.Common")
AddReference("QuantConnect.Logging")
#AddReference("QuantConnect.Data")
from System import *
from QuantConnect import *
from QuantConnect.Logging import *
#from Data import *
#fro... | 36.518717 | 147 | 0.661737 |
5aad234b18b05002548a9589e1100a906a36ebac | 2,765 | py | Python | edm_web1/app/task/forms.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | edm_web1/app/task/forms.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | 18 | 2020-06-05T18:17:40.000Z | 2022-03-11T23:25:21.000Z | edm_web1/app/task/forms.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | # coding=utf-8
from django import forms
from app.task.models import SendTask
from app.template.models import SendTemplate
from app.address.models import MailList
from django.utils.translation import ugettext_lazy as _
from django.core.cache import cache
| 42.538462 | 131 | 0.644485 |
5aae6a12dc22ce122aa713fc2aeac3ad090fe5d0 | 2,827 | py | Python | map_swcf.py | torimcd/Goldblatt_etal_2020 | 0793b16ef2535db3482c31d84587d80b3578dd3b | [
"BSD-3-Clause"
] | 1 | 2021-12-03T15:11:31.000Z | 2021-12-03T15:11:31.000Z | map_swcf.py | torimcd/Goldblatt_etal_2021 | 0793b16ef2535db3482c31d84587d80b3578dd3b | [
"BSD-3-Clause"
] | null | null | null | map_swcf.py | torimcd/Goldblatt_etal_2021 | 0793b16ef2535db3482c31d84587d80b3578dd3b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
"""
Author: Victoria McDonald
email: vmcd@atmos.washington.edu
website: http://torimcd.github.com
license: BSD
"""
import matplotlib as mpl
mpl.use("Agg")
import os
import sys
import numpy as np
import netCDF4
import operator
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Base... | 28.27 | 129 | 0.700389 |
5ab017c82dd41b9fd3710bcfd371dbf19774599d | 6,706 | py | Python | src/mbic/mbic_full_model.py | davidanastasiu/antibiofilm | f50945d52bcfd97538a31d7627af6b3089fdd2cf | [
"MIT"
] | null | null | null | src/mbic/mbic_full_model.py | davidanastasiu/antibiofilm | f50945d52bcfd97538a31d7627af6b3089fdd2cf | [
"MIT"
] | null | null | null | src/mbic/mbic_full_model.py | davidanastasiu/antibiofilm | f50945d52bcfd97538a31d7627af6b3089fdd2cf | [
"MIT"
] | null | null | null | # AntiBiofilm Peptide Research
# Department of Computer Science and Engineering, Santa Clara University
# Author: Taylor Downey
# A python script that uses the optimized hyperparameters found for both
# the SVM and the SVR to create a prediction model
# Script prints the average RMSE of the full model when run with c... | 35.294737 | 81 | 0.596779 |
5ab37c9f2cc9d5f92cea84f7411a66b98892ba55 | 334 | py | Python | pygoogletranslation/urls.py | sha-cmd/Translator | 8f01b04c90782feb474204c738cd1b9dbe8fe853 | [
"MIT",
"Unlicense"
] | null | null | null | pygoogletranslation/urls.py | sha-cmd/Translator | 8f01b04c90782feb474204c738cd1b9dbe8fe853 | [
"MIT",
"Unlicense"
] | null | null | null | pygoogletranslation/urls.py | sha-cmd/Translator | 8f01b04c90782feb474204c738cd1b9dbe8fe853 | [
"MIT",
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Predefined URLs used to make google translate requests.
"""
BASE = 'https://translate.google.com'
TOKEN = 'https://translate.google.com/translate_a/element.js'
TRANSLATE = 'https://translate.googleapis.com/translate_a/'
TRANSLATEURL = 'https://translate.google.com/_/TranslateWebserverUi/data... | 41.75 | 86 | 0.751497 |
5ab39146e42528e662c0c49db178a51f75c5037e | 1,901 | py | Python | app/stac_api/migrations/0006_auto_20210419_1409.py | Niclnx/service-stac | ad9129a7130d09b2bed387d8e82575eb86fdfa7b | [
"BSD-3-Clause"
] | 9 | 2020-08-17T11:01:48.000Z | 2022-01-17T22:24:13.000Z | app/stac_api/migrations/0006_auto_20210419_1409.py | Niclnx/service-stac | ad9129a7130d09b2bed387d8e82575eb86fdfa7b | [
"BSD-3-Clause"
] | 100 | 2020-08-14T05:56:40.000Z | 2022-03-01T22:39:58.000Z | app/stac_api/migrations/0006_auto_20210419_1409.py | Niclnx/service-stac | ad9129a7130d09b2bed387d8e82575eb86fdfa7b | [
"BSD-3-Clause"
] | 3 | 2020-09-02T14:01:07.000Z | 2021-07-27T06:30:26.000Z | # Generated by Django 3.1.7 on 2021-04-19 14:09
import django.db.models.deletion
from django.db import migrations
from django.db import models
| 73.115385 | 1,327 | 0.538664 |
5ab4e1cb0b8290fb37e3f50f7412275885208296 | 4,463 | py | Python | geocoder/opencage.py | guess3233qa/geocoder1 | 31de0344e698fb209b709c5bb11181e845279a59 | [
"MIT"
] | 1 | 2021-02-08T13:30:00.000Z | 2021-02-08T13:30:00.000Z | geocoder/opencage.py | star-is-here/geocoder | 31b5ccdf54f199d7640995a787c84909687ee03c | [
"MIT"
] | null | null | null | geocoder/opencage.py | star-is-here/geocoder | 31b5ccdf54f199d7640995a787c84909687ee03c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# coding: utf8
from __future__ import absolute_import
from geocoder.base import Base
from geocoder.keys import opencage_key
if __name__ == '__main__':
g = OpenCage('1552 Payette dr., Ottawa')
print(g.json['mgrs'])
| 26.724551 | 93 | 0.60363 |
5ab5bd66bce6d4c9eceac8e62755a4fcbe075a48 | 108 | py | Python | Python/type_casting.py | thebiebs/python-practise-exercises | 28db498f35ec6f9bdd437f54c91990027f4b9436 | [
"MIT"
] | null | null | null | Python/type_casting.py | thebiebs/python-practise-exercises | 28db498f35ec6f9bdd437f54c91990027f4b9436 | [
"MIT"
] | null | null | null | Python/type_casting.py | thebiebs/python-practise-exercises | 28db498f35ec6f9bdd437f54c91990027f4b9436 | [
"MIT"
] | null | null | null | a = "3434"
a = int(a)
print(type(a))
b = 32
b = str(b)
print(type(b))
| 4.695652 | 15 | 0.351852 |
5ab8816bb76e60e81fc3c314b0b1f78ca16670ca | 64 | py | Python | models/__init__.py | vrdelc/deepmask-pytorch | 4432aa06ef43fe845230fd539dcbad27177c37d4 | [
"MIT"
] | 233 | 2019-02-20T16:40:02.000Z | 2022-01-24T07:08:28.000Z | models/__init__.py | vrdelc/deepmask-pytorch | 4432aa06ef43fe845230fd539dcbad27177c37d4 | [
"MIT"
] | 10 | 2019-03-19T06:33:00.000Z | 2021-02-11T02:49:07.000Z | models/__init__.py | vrdelc/deepmask-pytorch | 4432aa06ef43fe845230fd539dcbad27177c37d4 | [
"MIT"
] | 62 | 2019-02-21T02:27:56.000Z | 2021-11-16T02:37:41.000Z | from .DeepMask import DeepMask
from .SharpMask import SharpMask
| 21.333333 | 32 | 0.84375 |
5ab8ac9f9305d1dcc1a98fb23d25074ad1e3b140 | 37 | py | Python | homeassistant/components/systemmonitor/__init__.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | homeassistant/components/systemmonitor/__init__.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/systemmonitor/__init__.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """The systemmonitor integration."""
| 18.5 | 36 | 0.72973 |
5abb45490eb0d080f875383d0f61e11894705270 | 396 | py | Python | setup.py | ajagnic/stromCLI | f36b3a97a28cb4f6bf644fdfd6660307b19a6fab | [
"MIT"
] | null | null | null | setup.py | ajagnic/stromCLI | f36b3a97a28cb4f6bf644fdfd6660307b19a6fab | [
"MIT"
] | null | null | null | setup.py | ajagnic/stromCLI | f36b3a97a28cb4f6bf644fdfd6660307b19a6fab | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name='strom-cli',
author='Adrian Agnic',
author_email='adrian@tura.io',
version='0.0.1',
description='CLI tool for use with Strom',
packages=find_packages(),
include_package_data=True,
install_requires=['click', 'requests'],
entry_p... | 23.294118 | 46 | 0.669192 |
5abba2ed2df006c8126b41c355cba49e34d89853 | 776 | py | Python | backend/post/migrations/0005_auto_20190424_1912.py | aurma97/to52_ok | c5f940416938e1bb0d3110dfafa43cb7197df984 | [
"MIT"
] | null | null | null | backend/post/migrations/0005_auto_20190424_1912.py | aurma97/to52_ok | c5f940416938e1bb0d3110dfafa43cb7197df984 | [
"MIT"
] | 4 | 2021-04-08T22:09:42.000Z | 2021-06-10T20:38:06.000Z | backend/post/migrations/0005_auto_20190424_1912.py | aurma97/to52_ok | c5f940416938e1bb0d3110dfafa43cb7197df984 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.3 on 2019-04-24 19:12
from django.db import migrations, models
import django.db.models.deletion
| 28.740741 | 115 | 0.595361 |
5abbfe4f3603e53b2ca44eaf8727990f742d0172 | 1,006 | py | Python | aspen/__main__.py | Acidburn0zzz/aspen-python | 3b25a3ca041bd0bf4d313f7fc3a15cf092903de7 | [
"MIT"
] | null | null | null | aspen/__main__.py | Acidburn0zzz/aspen-python | 3b25a3ca041bd0bf4d313f7fc3a15cf092903de7 | [
"MIT"
] | null | null | null | aspen/__main__.py | Acidburn0zzz/aspen-python | 3b25a3ca041bd0bf4d313f7fc3a15cf092903de7 | [
"MIT"
] | null | null | null | """
python -m aspen
===============
Aspen ships with a server (wsgiref.simple_server) that is
suitable for development and testing. It can be invoked via:
python -m aspen
though even for development you'll likely want to specify a
project root, so a more likely incantation is:
ASPEN_PROJECT_ROOT=/path/to/w... | 27.944444 | 71 | 0.754473 |
5abddcac686664ae3a44fc39af000fbbf1daafbd | 874 | py | Python | ax/benchmark2/__init__.py | lyhyl/Ax | 44384a0cb1a622c9e395c95f683cfee25c7b61f6 | [
"MIT"
] | null | null | null | ax/benchmark2/__init__.py | lyhyl/Ax | 44384a0cb1a622c9e395c95f683cfee25c7b61f6 | [
"MIT"
] | null | null | null | ax/benchmark2/__init__.py | lyhyl/Ax | 44384a0cb1a622c9e395c95f683cfee25c7b61f6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from ax.benchmark2.benchmark import (
benchmark_full_run,
benchmark_replication,
benchmark_test,
)
from a... | 28.193548 | 85 | 0.772311 |
5abe5b6784894f2e606b06d1d7978dc1a255825c | 724 | py | Python | setup.py | nvaytet/metatoenv | 6d0b5f1093f4042d63f8acad435f0953633f6821 | [
"BSD-3-Clause"
] | null | null | null | setup.py | nvaytet/metatoenv | 6d0b5f1093f4042d63f8acad435f0953633f6821 | [
"BSD-3-Clause"
] | null | null | null | setup.py | nvaytet/metatoenv | 6d0b5f1093f4042d63f8acad435f0953633f6821 | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup, Command
from distutils.command.build_py import build_py
with open('README.md') as infile:
long_description = infile.read()
from psrecord import __version__
setup(
name='metatoenv',
version=__version__,
description=
'Generate a conda environment file from a conda met... | 25.857143 | 70 | 0.685083 |
5abf1554e4e83fbb167495e7bf4f154fc338e021 | 28,931 | py | Python | git_timestamp/timestamp.py | zeitgitter/git-timestamp | 44d68c13036ba706d1b2d1d25773427b474fa39e | [
"MIT"
] | 16 | 2020-02-16T03:21:22.000Z | 2021-12-17T19:22:56.000Z | git_timestamp/timestamp.py | zeitgitter/git-timestamp | 44d68c13036ba706d1b2d1d25773427b474fa39e | [
"MIT"
] | 1 | 2021-11-02T10:07:18.000Z | 2021-11-02T10:07:18.000Z | git_timestamp/timestamp.py | zeitgitter/git-timestamp | 44d68c13036ba706d1b2d1d25773427b474fa39e | [
"MIT"
] | 2 | 2020-02-16T03:21:26.000Z | 2021-04-05T17:19:05.000Z | #!/usr/bin/python3 -tt
# -*- coding: utf-8 -*-
# (keep hashbang line for `make install`)
#
# git timestamp Zeitgitter GIT Timestamping client
#
# Copyright (C) 2019-2021 Marcel Waldvogel
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public Lice... | 41.868307 | 103 | 0.587432 |
5ac1bdcd4d5d7d445d4e50d14f8bb0137e1a3a22 | 7,335 | py | Python | src/environments/finite_diff_wave.py | jaberkow/Insight_Project | 5c24e39fa5ab949e5a99231758ac77d21f566905 | [
"MIT"
] | 6 | 2019-07-10T09:33:44.000Z | 2019-08-28T11:28:15.000Z | src/environments/finite_diff_wave.py | jaberkow/WaveRL | 5c24e39fa5ab949e5a99231758ac77d21f566905 | [
"MIT"
] | 4 | 2019-06-18T00:13:25.000Z | 2019-08-05T11:48:03.000Z | src/environments/finite_diff_wave.py | jaberkow/Insight_Project | 5c24e39fa5ab949e5a99231758ac77d21f566905 | [
"MIT"
] | 3 | 2019-08-15T06:43:31.000Z | 2020-09-03T05:05:17.000Z | """
Some elements of the finite difference routines were adapted from HP Langtangen's wonderful book on the FD method for python:
https://hplgit.github.io/fdm-book/doc/pub/book/html/._fdm-book-solarized001.html
"""
import numpy as np
from scipy.integrate import simps
| 38.809524 | 125 | 0.625767 |
5ac23e6adffbb28a348a5b76f4d9393d8fb8087e | 1,977 | py | Python | ejercicios/ahorcado/ahorcado_01.py | carlosviveros/Soluciones | 115f4fa929c7854ca497e4c994352adc64565456 | [
"MIT"
] | 1 | 2022-02-02T04:44:56.000Z | 2022-02-02T04:44:56.000Z | ejercicios/ahorcado/ahorcado_01.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | ejercicios/ahorcado/ahorcado_01.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | """AyudaEnPython: https://www.facebook.com/groups/ayudapython
Contributor: Carolina Morn
Source:
https://github.com/CarolinaMoran03/Juego-de-ahorcado-con-frase/blob/main/Juego%20de%20ahorcado%20con%20frase
"""
participante=input("Ingrese nombre del participante: ")
print(participante.upper())
if __name__ == "__main... | 29.507463 | 175 | 0.571067 |
5ac34357cfbf72b629548e23a5587b2da7dd9eb3 | 946 | py | Python | core/model/encoder/encoder_base.py | baophuc27/answer-generation | 36ab9f84f8d4df90abd2bd0255a5229afbd65892 | [
"MIT"
] | 3 | 2021-03-25T12:29:49.000Z | 2021-06-14T13:15:49.000Z | core/model/encoder/encoder_base.py | baophuc27/answer-generation | 36ab9f84f8d4df90abd2bd0255a5229afbd65892 | [
"MIT"
] | null | null | null | core/model/encoder/encoder_base.py | baophuc27/answer-generation | 36ab9f84f8d4df90abd2bd0255a5229afbd65892 | [
"MIT"
] | null | null | null | import torch.nn as nn
from abc import ABC,abstractmethod
| 30.516129 | 81 | 0.650106 |
5ac3496c6293aef55801f31bfe043059c6610afa | 467 | py | Python | pmaf/biome/survey/_metakit.py | mmtechslv/PhyloMAF | bab43dd4a4d2812951b1fdf4f1abb83edb79ea88 | [
"BSD-3-Clause"
] | 1 | 2021-07-02T06:24:17.000Z | 2021-07-02T06:24:17.000Z | pmaf/biome/survey/_metakit.py | mmtechslv/PhyloMAF | bab43dd4a4d2812951b1fdf4f1abb83edb79ea88 | [
"BSD-3-Clause"
] | 1 | 2021-06-28T12:02:46.000Z | 2021-06-28T12:02:46.000Z | pmaf/biome/survey/_metakit.py | mmtechslv/PhyloMAF | bab43dd4a4d2812951b1fdf4f1abb83edb79ea88 | [
"BSD-3-Clause"
] | null | null | null | from abc import abstractmethod
from pmaf.biome._metakit import BiomeFeatureMetabase, BiomeSampleMetabase
| 19.458333 | 77 | 0.704497 |
5ac34cb506d949289482e24d712032fea0a5bf81 | 5,912 | py | Python | python/pynamics/frame.py | zmpatel19/Foldable-Robotics | 97590ec7d173cc1936cc8ff0379b16ad63bcda23 | [
"MIT"
] | 2 | 2018-08-20T22:01:18.000Z | 2021-04-19T00:50:56.000Z | python/pynamics/frame.py | zmpatel19/Foldable-Robotics | 97590ec7d173cc1936cc8ff0379b16ad63bcda23 | [
"MIT"
] | 3 | 2017-10-24T03:10:17.000Z | 2017-10-24T03:15:27.000Z | python/pynamics/frame.py | zmpatel19/Foldable-Robotics | 97590ec7d173cc1936cc8ff0379b16ad63bcda23 | [
"MIT"
] | 2 | 2017-03-03T23:04:17.000Z | 2021-03-20T20:33:53.000Z | # -*- coding: utf-8 -*-
"""
Written by Daniel M. Aukes
Email: danaukes<at>gmail.com
Please see LICENSE for full license.
"""
import pynamics
from pynamics.tree_node import TreeNode
from pynamics.vector import Vector
from pynamics.rotation import Rotation, RotationalVelocity
from pynamics.name_generator import NameGen... | 36.493827 | 156 | 0.625169 |
5ac3d5779a8d78c93d249f8739858eed7b56674a | 6,828 | py | Python | couchbase_core/mapper.py | couchbase/couchbase-python-client | 99ec055835f5aef0cd07905497b3ab4bb3cbbc32 | [
"Apache-2.0"
] | 189 | 2015-01-07T18:34:31.000Z | 2022-03-21T17:41:56.000Z | couchbase_core/mapper.py | couchbase/couchbase-python-client | 99ec055835f5aef0cd07905497b3ab4bb3cbbc32 | [
"Apache-2.0"
] | 24 | 2015-05-19T14:00:16.000Z | 2022-03-16T22:01:30.000Z | couchbase_core/mapper.py | couchbase/couchbase-python-client | 99ec055835f5aef0cd07905497b3ab4bb3cbbc32 | [
"Apache-2.0"
] | 60 | 2015-03-10T22:12:50.000Z | 2022-03-07T21:57:40.000Z | from typing import *
import enum
import datetime
import warnings
from couchbase.exceptions import InvalidArgumentException
Src = TypeVar('Src')
Dest = TypeVar('Dest')
Functor = TypeVar('Functor', bound=Callable[[Src], Dest])
SrcToDest = TypeVar('SrcToDest', bound=Callable[[Src], Dest])
DestToSrc = TypeVar('DestToSr... | 30.756757 | 113 | 0.605448 |
5ac41b3cce04df264e1419de46ced2afc4ce1d2c | 2,836 | py | Python | thedoorman/run.py | FocusedSupport/thedoorman | 4f53a921e1bd97d9ff193482e790fa5757f54e7d | [
"MIT"
] | null | null | null | thedoorman/run.py | FocusedSupport/thedoorman | 4f53a921e1bd97d9ff193482e790fa5757f54e7d | [
"MIT"
] | 29 | 2017-03-03T16:21:59.000Z | 2019-03-11T19:20:24.000Z | thedoorman/run.py | FocusedSupport/thedoorman | 4f53a921e1bd97d9ff193482e790fa5757f54e7d | [
"MIT"
] | null | null | null | import threading
import sys
import os
import signal
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "components/slack")))
from slackbot.bot import Bot
from pydispatch import dispatcher
from components.dispatcher.signals import Signals, Senders
import components.devices.doorbell_monitor as dm
... | 28.646465 | 93 | 0.744358 |
5ac4b51a79d3af0cebbea2eb96498b7f916e244a | 605 | py | Python | python/utils/random-sample-with-probabilities.py | leakycup/misc | 5cce8cbd7057bf2598c8076ffc257606edb7141e | [
"Apache-2.0"
] | null | null | null | python/utils/random-sample-with-probabilities.py | leakycup/misc | 5cce8cbd7057bf2598c8076ffc257606edb7141e | [
"Apache-2.0"
] | null | null | null | python/utils/random-sample-with-probabilities.py | leakycup/misc | 5cce8cbd7057bf2598c8076ffc257606edb7141e | [
"Apache-2.0"
] | null | null | null | import sys
import codecs
import numpy as np
#UTF8Writer = codecs.getwriter('utf8')
#sys.stdout = UTF8Writer(sys.stdout)
input_file = sys.argv[1]
probabilities_file = sys.argv[2]
sample_size = int(sys.argv[3])
input_list = []
probabilities_list = []
with codecs.open(input_file, 'r', 'utf-8') as f:
for line in f... | 24.2 | 96 | 0.710744 |
5ac695ccecbc9a0acac17b74afec8f55e9ba28d1 | 1,286 | py | Python | ivy/functional/backends/mxnet/old/linear_algebra.py | Neel-Renavikar/ivy | 644ab189a3a3fc52b1f3f86563226106e549eea3 | [
"Apache-2.0"
] | null | null | null | ivy/functional/backends/mxnet/old/linear_algebra.py | Neel-Renavikar/ivy | 644ab189a3a3fc52b1f3f86563226106e549eea3 | [
"Apache-2.0"
] | null | null | null | ivy/functional/backends/mxnet/old/linear_algebra.py | Neel-Renavikar/ivy | 644ab189a3a3fc52b1f3f86563226106e549eea3 | [
"Apache-2.0"
] | null | null | null | """
Collection of MXNet linear algebra functions, wrapped to fit Ivy syntax and signature.
"""
# global
import mxnet as _mx
import numpy as _np
# local
import ivy as _ivy
from typing import Union, Tuple
cholesky = lambda x: _mx.np.linalg.cholesky(x.as_np_ndarray()).as_nd_ndarray()
| 27.361702 | 86 | 0.620529 |
5ac936989b55dd5518ef35edf3a26894eace0277 | 157 | py | Python | NRPG-DataManager.py | oliverfaustino/NRPG-DataManager | 71064cb79be304f712aabcceebd6647121d2cb6c | [
"MIT"
] | null | null | null | NRPG-DataManager.py | oliverfaustino/NRPG-DataManager | 71064cb79be304f712aabcceebd6647121d2cb6c | [
"MIT"
] | null | null | null | NRPG-DataManager.py | oliverfaustino/NRPG-DataManager | 71064cb79be304f712aabcceebd6647121d2cb6c | [
"MIT"
] | null | null | null | from modulos.query import *
from modulos.splash_screen import *
if __name__ == '__main__':
splash_screen(segundos = 2)
while True:
query()
| 17.444444 | 35 | 0.675159 |
5ac93a900f8dd76c156f7ea7f46e47f6ba5ffc11 | 759 | py | Python | 01-introduction to python for data science/04-numpy/baseball-players-bmi.py | thelc127/Data-Scientist-Career-Track-Datacamp | 56d0ec0ece7fa9127e72b0da598c89f15f31b6b3 | [
"MIT"
] | 2 | 2021-05-21T04:59:19.000Z | 2021-05-21T08:32:41.000Z | 01-introduction to python for data science/04-numpy/baseball-players-bmi.py | thelc127/Data-Scientist-Career-Track-Datacamp | 56d0ec0ece7fa9127e72b0da598c89f15f31b6b3 | [
"MIT"
] | null | null | null | 01-introduction to python for data science/04-numpy/baseball-players-bmi.py | thelc127/Data-Scientist-Career-Track-Datacamp | 56d0ec0ece7fa9127e72b0da598c89f15f31b6b3 | [
"MIT"
] | null | null | null | # Create a numpy array from the weight_lb list with the correct units. Multiply by 0.453592 to go from pounds to kilograms.
# Store the resulting numpy array as np_weight_kg.
# Use np_height_m and np_weight_kg to calculate the BMI of each player.
# Use the following equation:
# BMI = weight(kg) / height (m3)
# save the... | 31.625 | 123 | 0.764163 |
5acaacc2a5d0c1b378c239243152d8b863342a4f | 2,072 | py | Python | python/waf-alb-ec2-glue-athena-s3/app.py | gsy0911/aws-cdk-small-examples | e4b4be076d22f5d35f640e59a6ca346988baa1af | [
"Apache-2.0"
] | 2 | 2021-01-19T18:15:22.000Z | 2021-02-09T22:18:09.000Z | python/waf-alb-ec2-glue-athena-s3/app.py | gsy0911/aws-cdk-small-examples | e4b4be076d22f5d35f640e59a6ca346988baa1af | [
"Apache-2.0"
] | 14 | 2020-11-20T01:54:27.000Z | 2021-01-12T08:15:39.000Z | python/waf-alb-ec2-glue-athena-s3/app.py | gsy0911/aws-cdk-small-examples | e4b4be076d22f5d35f640e59a6ca346988baa1af | [
"Apache-2.0"
] | null | null | null | from aws_cdk import (
aws_autoscaling as autoscaling,
aws_ec2 as ec2,
aws_elasticloadbalancingv2 as elbv2,
aws_wafv2 as wafv2,
core,
)
if __name__ == "__main__":
main()
| 29.6 | 105 | 0.599903 |
5acb201e61977d9de73500bb4e5a0c3ac26a488a | 575 | py | Python | src/twitter_utils/browser_session.py | namuan/twitter-tools | b8fad3c668f7bd65c74a0449b450bde957326ce4 | [
"MIT"
] | 1 | 2020-07-10T23:35:23.000Z | 2020-07-10T23:35:23.000Z | src/twitter_utils/browser_session.py | namuan/twitter-tools | b8fad3c668f7bd65c74a0449b450bde957326ce4 | [
"MIT"
] | 1 | 2020-10-02T01:51:51.000Z | 2020-10-02T01:51:51.000Z | src/twitter_utils/browser_session.py | namuan/twitter-tools | b8fad3c668f7bd65c74a0449b450bde957326ce4 | [
"MIT"
] | 2 | 2020-05-24T07:03:43.000Z | 2020-06-24T01:36:43.000Z | from typing import Any
from selenium import webdriver # type: ignore
| 26.136364 | 55 | 0.622609 |
5acb9e1e62ddcd1f2667eff52694832dd21f1914 | 411 | py | Python | editor/templatetags/stamp.py | andersshenholm/editor | 052844de68101c5cdc6d9343e3e095ba816cd34c | [
"Apache-2.0"
] | 51 | 2015-04-19T23:27:04.000Z | 2022-03-25T01:43:43.000Z | editor/templatetags/stamp.py | andersshenholm/editor | 052844de68101c5cdc6d9343e3e095ba816cd34c | [
"Apache-2.0"
] | 428 | 2015-01-05T10:56:32.000Z | 2022-03-29T14:33:23.000Z | editor/templatetags/stamp.py | andersshenholm/editor | 052844de68101c5cdc6d9343e3e095ba816cd34c | [
"Apache-2.0"
] | 71 | 2015-01-28T20:06:15.000Z | 2022-03-25T02:35:40.000Z | from django.template import Library
from editor.models import STAMP_STATUS_CHOICES
register = Library()
| 27.4 | 52 | 0.664234 |
5acc8629a6ec5a5ef8fb0a2628a406996eb759d6 | 864 | py | Python | ubxlib/ubx_cfg_nmea.py | monocilindro/ubxlib | 378e86b7766f670b9a8966ee038275a2155bac54 | [
"MIT"
] | 3 | 2020-05-03T17:12:21.000Z | 2021-01-16T13:45:07.000Z | ubxlib/ubx_cfg_nmea.py | monocilindro/ubxlib | 378e86b7766f670b9a8966ee038275a2155bac54 | [
"MIT"
] | 35 | 2020-08-29T09:35:15.000Z | 2022-03-18T19:42:34.000Z | ubxlib/ubx_cfg_nmea.py | monocilindro/ubxlib | 378e86b7766f670b9a8966ee038275a2155bac54 | [
"MIT"
] | 4 | 2020-04-24T03:29:07.000Z | 2021-01-13T15:52:53.000Z | from .cid import UbxCID
from .frame import UbxFrame
from .types import CH, U1, X1, X4, Padding
| 24 | 42 | 0.603009 |
5ace70d75fc497eeb5ae372bf715cbea09eaaf13 | 390 | py | Python | Lesson_2/up.py | idel28102001/lessons | f88f5034d8c275175dacf66ba5d0342622c1aa50 | [
"Apache-2.0"
] | null | null | null | Lesson_2/up.py | idel28102001/lessons | f88f5034d8c275175dacf66ba5d0342622c1aa50 | [
"Apache-2.0"
] | null | null | null | Lesson_2/up.py | idel28102001/lessons | f88f5034d8c275175dacf66ba5d0342622c1aa50 | [
"Apache-2.0"
] | null | null | null | print(' ')
num = ''
l = 4
while num == '':
l -= 1
num = input(f' {l}? : ') ##
num_2 = ''
dig = ''
while l > 0:
number = 10
while num_2 == '':
number -= 1
num_2 = input(f' {l}-e {number}? :') #
l -= 1
dig = str(number) + dig
num_2 = ''
print(dig)
| 21.666667 | 78 | 0.525641 |
5acf6a6ed2a18dd015b90e514e7a54da35d4ea24 | 34,367 | py | Python | agoora-profiler-service/quality_inspection/tests/quality_inspector_test.py | spoud/agoora-agents | 918602d428b6cd9918d1ade682fa54e85a9a2df3 | [
"MIT"
] | 8 | 2021-03-25T13:49:31.000Z | 2021-08-19T04:09:14.000Z | agoora-profiler-service/quality_inspection/tests/quality_inspector_test.py | spoud/agoora-agents | 918602d428b6cd9918d1ade682fa54e85a9a2df3 | [
"MIT"
] | 18 | 2021-03-31T11:38:45.000Z | 2022-02-16T05:00:09.000Z | agoora-profiler-service/quality_inspection/tests/quality_inspector_test.py | spoud/agoora-agents | 918602d428b6cd9918d1ade682fa54e85a9a2df3 | [
"MIT"
] | null | null | null | import unittest
from quality_inspection.quality_inspector import QualityInspector
from quality_inspection.schema_definition import SchemaDefinition
from quality_inspection.tests.data_loader import DataLoader
| 35.724532 | 118 | 0.575407 |
5acfa73951bf5dd915adc32a7981cab8b5aacd86 | 4,247 | py | Python | twrap/metrics.py | itsnarsi/twrap | cc3128428e37fe0a363e5b18fd7fa0039a963365 | [
"MIT"
] | null | null | null | twrap/metrics.py | itsnarsi/twrap | cc3128428e37fe0a363e5b18fd7fa0039a963365 | [
"MIT"
] | null | null | null | twrap/metrics.py | itsnarsi/twrap | cc3128428e37fe0a363e5b18fd7fa0039a963365 | [
"MIT"
] | null | null | null | # @Author: Narsi Reddy <cibitaw1>
# @Date: 2018-09-22T17:38:05-05:00
# @Email: sainarsireddy@outlook.com
# @Last modified by: narsi
# @Last modified time: 2019-02-13T22:46:56-06:00
import torch
torch.manual_seed(29)
from torch import nn
import numpy as np
np.random.seed(29)
import torch.nn.functional as F
from tor... | 31.932331 | 104 | 0.645632 |
5acfefc74de42e7336d5b91fd88fe5402716e7ad | 4,428 | py | Python | configs/resnet/contrast_r18_config.py | alecpeltekian/ImgClassification | cf4eca33027ca423623ff965fac354dcfce396d3 | [
"Apache-2.0"
] | null | null | null | configs/resnet/contrast_r18_config.py | alecpeltekian/ImgClassification | cf4eca33027ca423623ff965fac354dcfce396d3 | [
"Apache-2.0"
] | null | null | null | configs/resnet/contrast_r18_config.py | alecpeltekian/ImgClassification | cf4eca33027ca423623ff965fac354dcfce396d3 | [
"Apache-2.0"
] | null | null | null | # ### ===============================================================
# ### ===============================================================
# ### Modify the dataset loading settings
# dataset settings
dataset_type = 'ContrastDataset'
data_root = '/mnt/cadlabnas/datasets/'
img_norm_cfg = dict(
mean=[123.675, 116.28... | 30.965035 | 137 | 0.539747 |
5ad4e2861aebece133d34e92b30760d0b61fc3a9 | 662 | py | Python | roots/FinalModifiedBisection.py | Seek/LaTechNumeric | dabef2040e84bf25cabab07fe20a6434ce52197b | [
"MIT"
] | null | null | null | roots/FinalModifiedBisection.py | Seek/LaTechNumeric | dabef2040e84bf25cabab07fe20a6434ce52197b | [
"MIT"
] | null | null | null | roots/FinalModifiedBisection.py | Seek/LaTechNumeric | dabef2040e84bf25cabab07fe20a6434ce52197b | [
"MIT"
] | null | null | null | import sys
EPS = sys.float_info.epsilon
#Define the function
print("Computing the roots of x**2 - 2")
r = bisect(f, -1.5, 10, 0.00001, 100)
print("Root = " + str(r))
| 16.146341 | 62 | 0.539275 |
5ad51d488ab3d8dfcae8a309205c863eaacc63bd | 717 | py | Python | main.py | jostimian/Python-To-Facebook | b52f2fb4db01263dc279241c24ad6e9515ba5f45 | [
"MIT"
] | null | null | null | main.py | jostimian/Python-To-Facebook | b52f2fb4db01263dc279241c24ad6e9515ba5f45 | [
"MIT"
] | null | null | null | main.py | jostimian/Python-To-Facebook | b52f2fb4db01263dc279241c24ad6e9515ba5f45 | [
"MIT"
] | null | null | null | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
email = input("Enter Your Email: ")
password = input("Enter Your Password: ")
while email or password == "":
print("\n")
email = input("Enter Your Email: ")
password = input("Enter Your Password")
if email and pass... | 24.724138 | 55 | 0.677824 |
5ad61d1f671afea82e39013fc63a8845b6a3671b | 3,606 | py | Python | monique_worker_py/worker.py | biocad/monique-worker-py | 56b0ab2e218b80e3a83d7987cd8dd8993a3d66a7 | [
"BSD-3-Clause"
] | null | null | null | monique_worker_py/worker.py | biocad/monique-worker-py | 56b0ab2e218b80e3a83d7987cd8dd8993a3d66a7 | [
"BSD-3-Clause"
] | null | null | null | monique_worker_py/worker.py | biocad/monique-worker-py | 56b0ab2e218b80e3a83d7987cd8dd8993a3d66a7 | [
"BSD-3-Clause"
] | null | null | null | import zmq
import logging
import argparse
from monique_worker_py.config import read_worker_config
from monique_worker_py.qmessage import qmessage_from_json, create_qmessage
| 37.5625 | 118 | 0.598724 |
5ad6cbcddff8d2b547541b05fb14cdfa5518b9b3 | 1,081 | py | Python | helpers/sendSMS.py | cheikhmbackeseck37/insuris | 3362ca445d489e23d57a76bbd6d263f3a5f0b519 | [
"MIT"
] | 12 | 2019-08-02T07:58:16.000Z | 2022-01-31T23:45:08.000Z | helpers/sendSMS.py | domambia/csdigital-gs1kenya-internal-erp | 6736d0e9a3a51653689f8ae921cf811f378d9d8e | [
"MIT"
] | 8 | 2019-08-02T08:06:18.000Z | 2022-03-11T23:45:17.000Z | helpers/sendSMS.py | cheikhmbackeseck37/insuris | 3362ca445d489e23d57a76bbd6d263f3a5f0b519 | [
"MIT"
] | 11 | 2019-07-31T16:23:36.000Z | 2022-01-29T08:30:07.000Z | # works with both python 2 and 3
from __future__ import print_function
from datetime import datetime
import africastalking
| 38.607143 | 89 | 0.518964 |