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e76480471e6bea18ea40a9e4037a74ba815e2226 | 1,756 | py | Python | bot/sign_api.py | rombintu/project12 | a127b8c697cb6e7cc07ff9528a79888f72c4c4ca | [
"MIT"
] | null | null | null | bot/sign_api.py | rombintu/project12 | a127b8c697cb6e7cc07ff9528a79888f72c4c4ca | [
"MIT"
] | null | null | null | bot/sign_api.py | rombintu/project12 | a127b8c697cb6e7cc07ff9528a79888f72c4c4ca | [
"MIT"
] | null | null | null | import os
from Crypto.Hash import SHA256
from Crypto.PublicKey import RSA
from Crypto.Signature import pkcs1_15
def create_sign_of_file(file_name):
# Генерируем новый ключ
key = RSA.generate(1024, os.urandom)
# Получаем хэш файла
hesh = SHA256.new()
with open(file_name, "rb") as f:
for ch... | 28.786885 | 109 | 0.656606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 522 | 0.27416 |
e764cbf89763dd805ae8cb69ca387c4c6438236e | 38,685 | py | Python | vyperlogix/decorators/pyanno.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | 1 | 2020-09-29T01:36:33.000Z | 2020-09-29T01:36:33.000Z | vyperlogix/decorators/pyanno.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | null | null | null | vyperlogix/decorators/pyanno.py | raychorn/chrome_gui | f1fade70b61af12ee43c55c075aa9cfd32caa962 | [
"CC0-1.0"
] | null | null | null |
"""
Pyanno Python Annotations
version 0.76
Uses the new python decorators feature.
Do not apply these annotations within this module.
charlesmchen@gmail.com
for documentation, see the index.html file included in the distribution.
http://fightingquaker.com/pyanno/
"""
#from __future__ import with_statement
imp... | 36.323944 | 158 | 0.632338 | 3,466 | 0.089595 | 0 | 0 | 0 | 0 | 0 | 0 | 10,008 | 0.258705 |
e765459a83dd0305141cdf26d6934ff99915432e | 495 | py | Python | apps/batchResize.py | mshafiei/cvutils | 5805229d8822a9ee4a3c63e060358aca96fe5338 | [
"MIT"
] | 2 | 2021-07-19T12:38:14.000Z | 2021-11-01T21:30:36.000Z | apps/batchResize.py | mshafiei/cvgutils | ea93b3cb70a969c3b814f5a9f7672c6e00de5c61 | [
"MIT"
] | null | null | null | apps/batchResize.py | mshafiei/cvgutils | ea93b3cb70a969c3b814f5a9f7672c6e00de5c61 | [
"MIT"
] | null | null | null | import numpy as np
import glob
import cvgutils.Image as cvgim
import os
import tqdm
indir = '/home/mohammad/Projects/NRV/dataset/envmaps/*.exr'
outdir = '/home/mohammad/Projects/NRV/dataset/envmaps_512_1024'
inimgs = glob.glob(indir)
max16 = (2**16-1)
for img in tqdm.tqdm(inimgs):
im = cvgim.imread(img)
im = cv... | 30.9375 | 76 | 0.705051 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 0.315152 |
e765541ab914b48a4f43b07b88c06ff9c0e6465a | 44 | py | Python | cli/__init__.py | charlesreid1/dahak-taco | b7ab6d510f4989e495667c745c4dd818d1732823 | [
"BSD-3-Clause"
] | null | null | null | cli/__init__.py | charlesreid1/dahak-taco | b7ab6d510f4989e495667c745c4dd818d1732823 | [
"BSD-3-Clause"
] | null | null | null | cli/__init__.py | charlesreid1/dahak-taco | b7ab6d510f4989e495667c745c4dd818d1732823 | [
"BSD-3-Clause"
] | 1 | 2018-03-16T21:27:28.000Z | 2018-03-16T21:27:28.000Z | _program = "taco"
__version__ = "1.0.1beta"
| 14.666667 | 25 | 0.681818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.386364 |
e765b119fb0c58069efcdb5bcbcb88dc12c714c8 | 257 | py | Python | telegramtoken/settings/sample_config.py | kahihia/community | 46d55d1029764b8d66278c930a9d574e7d1421d8 | [
"MIT"
] | null | null | null | telegramtoken/settings/sample_config.py | kahihia/community | 46d55d1029764b8d66278c930a9d574e7d1421d8 | [
"MIT"
] | null | null | null | telegramtoken/settings/sample_config.py | kahihia/community | 46d55d1029764b8d66278c930a9d574e7d1421d8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
NODE_IP = '127.0.0.1'
NODE_PORT = '9718'
NODE_USER = 'testuser'
NODE_PWD = 'testpassword'
STREAM_SMART_LICENSE = 'Telegram-license'
STREAM_SMART_LICENSE_ATTESTATION = 'Telegram-license-attestation'
STREAM_ISCC = 'telegramTokenJar'
| 23.363636 | 65 | 0.750973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 130 | 0.505837 |
e765fb3f3635f387b5b8188b7acfcdc41c6bffec | 894 | py | Python | test/test_substitution.py | corneliusroemer/pyro-cov | 54e89d128293f9ff9e995c442f72fa73f5f99b76 | [
"Apache-2.0"
] | 22 | 2021-09-14T04:33:11.000Z | 2022-02-01T21:33:05.000Z | test/test_substitution.py | corneliusroemer/pyro-cov | 54e89d128293f9ff9e995c442f72fa73f5f99b76 | [
"Apache-2.0"
] | 7 | 2021-11-02T13:48:35.000Z | 2022-03-23T18:08:35.000Z | test/test_substitution.py | corneliusroemer/pyro-cov | 54e89d128293f9ff9e995c442f72fa73f5f99b76 | [
"Apache-2.0"
] | 6 | 2021-09-18T01:06:51.000Z | 2022-01-10T02:22:06.000Z | # Copyright Contributors to the Pyro-Cov project.
# SPDX-License-Identifier: Apache-2.0
import pyro.poutine as poutine
import pytest
import torch
from pyro.infer.autoguide import AutoDelta
from pyrocov.substitution import GeneralizedTimeReversible, JukesCantor69
@pytest.mark.parametrize("Model", [JukesCantor69, Gen... | 29.8 | 77 | 0.694631 | 0 | 0 | 0 | 0 | 626 | 0.700224 | 0 | 0 | 93 | 0.104027 |
e7666c41475df3a201f3e9500fe80142589cab4b | 438 | py | Python | angr/engines/vex/expressions/unsupported.py | aeflores/angr | ac85a3f168375ed0ee20551b1b716c1bff4ac02b | [
"BSD-2-Clause"
] | 1 | 2020-11-18T16:39:11.000Z | 2020-11-18T16:39:11.000Z | angr/engines/vex/expressions/unsupported.py | aeflores/angr | ac85a3f168375ed0ee20551b1b716c1bff4ac02b | [
"BSD-2-Clause"
] | 1 | 2019-04-08T12:10:07.000Z | 2019-04-08T12:10:07.000Z | angr/engines/vex/expressions/unsupported.py | aeflores/angr | ac85a3f168375ed0ee20551b1b716c1bff4ac02b | [
"BSD-2-Clause"
] | 1 | 2020-11-18T16:39:13.000Z | 2020-11-18T16:39:13.000Z | import logging
l = logging.getLogger(name=__name__)
def SimIRExpr_Unsupported(_engine, state, expr):
l.error("Unsupported IRExpr %s. Please implement.", type(expr).__name__)
size = expr.result_size(state.scratch.tyenv)
result = state.solver.Unconstrained(type(expr).__name__, size)
state.history.add_ev... | 39.818182 | 123 | 0.755708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.187215 |
e766e365a4ab93717384f44001cba425202a3102 | 837 | py | Python | modulo-1/exercicios/atividade_2_operadores_aritmeticos.py | giselemanuel/programa-Ifood-backend | d12544c30e2a26f7e2e2cd85df38a3f2c8860fe7 | [
"MIT"
] | 3 | 2021-04-25T23:31:13.000Z | 2021-04-26T16:59:12.000Z | modulo-1/exercicios/atividade_2_operadores_aritmeticos.py | giselemanuel/programa-Ifood-backend | d12544c30e2a26f7e2e2cd85df38a3f2c8860fe7 | [
"MIT"
] | null | null | null | modulo-1/exercicios/atividade_2_operadores_aritmeticos.py | giselemanuel/programa-Ifood-backend | d12544c30e2a26f7e2e2cd85df38a3f2c8860fe7 | [
"MIT"
] | null | null | null | """
Programa VamoAI:
Aluna: Gisele Rodrigues Manuel
Atividade 1.3
Descrição do Execício 2:
Criar um programa que: Some : 1024 por 2048, Multiplique: 1024 por 2048, Divida 2048 por 1024,Subtraia 1024 por 2048, executar print dos operadores aritméticos.
"""
#Definição das variáveis
num1 = 1024
num2 = 2048
soma = num1 ... | 27.9 | 162 | 0.685783 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 624 | 0.726426 |
e76743f69fad47d5de760eeb8b2c1a2dca1ce8fe | 2,354 | py | Python | scripts/sfuzz_data_retr.py | sunbeam891/Smart_contract_fuzzing | 327873f562028fb3ea241fb0c1dc0f039e8c005d | [
"MIT"
] | 1 | 2021-04-01T09:33:58.000Z | 2021-04-01T09:33:58.000Z | scripts/sfuzz_data_retr.py | sunbeam891/Smart_contract_fuzzing | 327873f562028fb3ea241fb0c1dc0f039e8c005d | [
"MIT"
] | 2 | 2021-11-09T03:25:40.000Z | 2021-11-09T06:23:45.000Z | scripts/sfuzz_data_retr.py | sunbeam891/Smart_contract_fuzzing | 327873f562028fb3ea241fb0c1dc0f039e8c005d | [
"MIT"
] | null | null | null | #Script_sFuzz_data_retriever_v0.6
#format = python3 sfuzz_data_retr.py <filename> <contractname> <contracts_folder>
import json
import os
from decimal import Decimal
import sys
from openpyxl import load_workbook
import pandas as pd
import coverage_json
import vulnerabilities_json
filename = sys.argv[1]
Contractname = ... | 39.898305 | 89 | 0.708581 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 554 | 0.235344 |
e76781753c0e4a869e70caddd34d8e8a1557bef1 | 5,090 | py | Python | bifrost_whats_my_species/datadump.py | ssi-dk/bifrost_whats_my_species | fe59e8cf096b8622747278959d53a95c80bed9ad | [
"MIT"
] | null | null | null | bifrost_whats_my_species/datadump.py | ssi-dk/bifrost_whats_my_species | fe59e8cf096b8622747278959d53a95c80bed9ad | [
"MIT"
] | 2 | 2020-11-13T13:46:11.000Z | 2020-11-20T08:36:55.000Z | bifrost_whats_my_species/datadump.py | ssi-dk/bifrost-whats_my_species | fe59e8cf096b8622747278959d53a95c80bed9ad | [
"MIT"
] | null | null | null | from bifrostlib import common
from bifrostlib.datahandling import Sample
from bifrostlib.datahandling import SampleComponentReference
from bifrostlib.datahandling import SampleComponent
from bifrostlib.datahandling import Category
from typing import Dict
import os
def extract_bracken_txt(species_detection: C... | 57.840909 | 226 | 0.711591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,131 | 0.2222 |
e76785635d525e1ea987b9fb10498fdb21db674e | 627 | py | Python | ex6-8.py | yiyidhuang/PythonCrashCrouse2nd | 3512f9ab8fcf32c6145604a37e2a62feddf174d1 | [
"MIT"
] | null | null | null | ex6-8.py | yiyidhuang/PythonCrashCrouse2nd | 3512f9ab8fcf32c6145604a37e2a62feddf174d1 | [
"MIT"
] | null | null | null | ex6-8.py | yiyidhuang/PythonCrashCrouse2nd | 3512f9ab8fcf32c6145604a37e2a62feddf174d1 | [
"MIT"
] | null | null | null | cristiano = {
'type': 'dog',
'owner': 'wei',
}
rose = {
'type': 'cat',
'owner': 'yan',
}
cloud = {
'type': 'pig',
'owner': 'luo',
}
pets = [cristiano, rose, cloud]
for pet in pets:
if pet == cristiano:
print('\nCristiano: '
+ '\n\ttype: ' + pet['type']
... | 20.225806 | 45 | 0.405104 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 219 | 0.349282 |
e769251e473b5f4b32970f5dbac6d06da53753e2 | 4,766 | py | Python | dexy/filters/matrix.py | dexy/dexy | 323c1806e51f75435e11d2265703e68f46c8aef3 | [
"MIT"
] | 136 | 2015-01-06T15:04:47.000Z | 2021-12-21T22:52:41.000Z | dexy/filters/matrix.py | dexy/dexy | 323c1806e51f75435e11d2265703e68f46c8aef3 | [
"MIT"
] | 13 | 2015-01-26T14:06:58.000Z | 2020-03-27T21:16:10.000Z | dexy/filters/matrix.py | dexy/dexy | 323c1806e51f75435e11d2265703e68f46c8aef3 | [
"MIT"
] | 34 | 2015-01-02T16:24:53.000Z | 2021-11-27T05:38:30.000Z | from bs4 import BeautifulSoup
from dexy.filters.api import ApiFilter
import asyncio
import json
import mimetypes
import markdown
try:
from nio import AsyncClient
AVAILABLE = True
except ImportError:
AVAILABLE = False
async def main_nio(homeserver, user, password, room_id, ext, mimetype, data_provider, con... | 32.868966 | 134 | 0.536299 | 3,743 | 0.785355 | 0 | 0 | 0 | 0 | 789 | 0.165548 | 1,331 | 0.27927 |
e76a39929d3dba1cca55b2346b00be6b52fb4b66 | 880 | py | Python | vera molnar/random_grids.py | jkocontreras/drawbotscripts | 6688e65e057f25901ac1adb93c3108ab889de49f | [
"MIT"
] | null | null | null | vera molnar/random_grids.py | jkocontreras/drawbotscripts | 6688e65e057f25901ac1adb93c3108ab889de49f | [
"MIT"
] | null | null | null | vera molnar/random_grids.py | jkocontreras/drawbotscripts | 6688e65e057f25901ac1adb93c3108ab889de49f | [
"MIT"
] | null | null | null | import random
# ----------------------
# settings
pw = ph = 500
cell_a = 10 # amount of cells
sbdvs = 3 # subdivisions
gap = pw /(cell_a * sbdvs + cell_a + 1)
cell_s = sbdvs * gap
points = [(x * gap, y * gap) for x in range(sbdvs+1) for y in range(sbdvs+1) ]
# ----------------------
# function(s)
def a_grid_c... | 19.555556 | 79 | 0.575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 184 | 0.209091 |
e76a3be58b3e2fbe5929631298e3ee8bfa3c6f30 | 1,997 | py | Python | tests/exercise5/lesson_5/exercise_6/hangman_clean.py | PONSASIKALA/signal-interpreter-server | 2a0fad375768e0dca99b8e8cb4ef19e863d99007 | [
"MIT"
] | null | null | null | tests/exercise5/lesson_5/exercise_6/hangman_clean.py | PONSASIKALA/signal-interpreter-server | 2a0fad375768e0dca99b8e8cb4ef19e863d99007 | [
"MIT"
] | null | null | null | tests/exercise5/lesson_5/exercise_6/hangman_clean.py | PONSASIKALA/signal-interpreter-server | 2a0fad375768e0dca99b8e8cb4ef19e863d99007 | [
"MIT"
] | null | null | null | # pylint: disable=missing-function-docstring
ALPHABET = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
def get_display_word(secret_word):
display_word = []
for i in range(len(secret_word)):
if secret_word[i] in ALPHABET:
display_word.append("_")
else:
display_word.append(secr... | 27.356164 | 79 | 0.620431 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 389 | 0.194792 |
e76c2081bccf726a610c27def463e58a09b8c81d | 21,136 | py | Python | utlz/__init__.py | theno/utlz | bf7d2b53f3e0d35c6f8ded81f3f774a74fcd3389 | [
"MIT"
] | 2 | 2018-10-29T18:35:12.000Z | 2019-01-14T12:56:15.000Z | utlz/__init__.py | Bhanditz/utlz | bf7d2b53f3e0d35c6f8ded81f3f774a74fcd3389 | [
"MIT"
] | null | null | null | utlz/__init__.py | Bhanditz/utlz | bf7d2b53f3e0d35c6f8ded81f3f774a74fcd3389 | [
"MIT"
] | 1 | 2019-01-14T11:11:32.000Z | 2019-01-14T11:11:32.000Z | # -*- coding: utf-8 -*-
import collections
import functools
import gzip
import json
import inspect
import os.path
import shutil
import sys
import struct
import time
from functools import wraps
from utlz._version import __version__
# inspired by: http://stackoverflow.com/a/6618825
def flo(string):
'''Return the s... | 31.879336 | 86 | 0.58909 | 1,400 | 0.066235 | 0 | 0 | 1,445 | 0.068364 | 0 | 0 | 8,814 | 0.416994 |
e76c656e6c74af8f2d56825e23cd387e36aeef31 | 401 | py | Python | dynamicserialize/dstypes/com/raytheon/uf/common/dataaccess/response/GetGeometryDataResponse.py | srcarter3/python-awips | d981062662968cf3fb105e8e23d955950ae2497e | [
"BSD-3-Clause"
] | 33 | 2016-03-17T01:21:18.000Z | 2022-02-08T10:41:06.000Z | dynamicserialize/dstypes/com/raytheon/uf/common/dataaccess/response/GetGeometryDataResponse.py | srcarter3/python-awips | d981062662968cf3fb105e8e23d955950ae2497e | [
"BSD-3-Clause"
] | 15 | 2016-04-19T16:34:08.000Z | 2020-09-09T19:57:54.000Z | dynamicserialize/dstypes/com/raytheon/uf/common/dataaccess/response/GetGeometryDataResponse.py | Unidata/python-awips | 8459aa756816e5a45d2e5bea534d23d5b1dd1690 | [
"BSD-3-Clause"
] | 20 | 2016-03-12T01:46:58.000Z | 2022-02-08T06:53:22.000Z |
class GetGeometryDataResponse(object):
def __init__(self):
self.geometryWKBs = None
self.geoData = None
def getGeometryWKBs(self):
return self.geometryWKBs
def setGeometryWKBs(self, geometryWKBs):
self.geometryWKBs = geometryWKBs
def getGeoData(self):
return... | 20.05 | 44 | 0.663342 | 398 | 0.992519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e76c666397b985650186328fae42e70cb9a10b72 | 1,835 | py | Python | distiller/core/Distiller.py | darkclouder/distiller | a8efbfd807d781b90daba6023e3f966a52836b42 | [
"BSD-2-Clause"
] | 3 | 2018-07-18T14:41:00.000Z | 2020-10-30T13:26:26.000Z | distiller/core/Distiller.py | darkclouder/distiller | a8efbfd807d781b90daba6023e3f966a52836b42 | [
"BSD-2-Clause"
] | 1 | 2018-07-19T08:23:09.000Z | 2018-07-19T08:23:09.000Z | distiller/core/Distiller.py | darkclouder/distiller | a8efbfd807d781b90daba6023e3f966a52836b42 | [
"BSD-2-Clause"
] | null | null | null | import os
from distiller.core.impl.HttpServer import HttpServer
from distiller.core.impl.CoreHandler import CoreHandler
class Distiller:
def __init__(self, env):
self.env = env
self.logger = self.env.logger.claim("Core")
self.shutdown = False
self.srv = HttpServer(CoreHandler(), ... | 27.38806 | 81 | 0.541144 | 1,711 | 0.932425 | 0 | 0 | 0 | 0 | 0 | 0 | 384 | 0.209264 |
e76ddf3376b76bafc19cbf52b3ad8126a2980c57 | 2,491 | py | Python | nora10/mylakeinitpar.py | kojitominaga/scratch | 5eaf4de30c89ff1e855a6be493105d1201f07f74 | [
"FSFAP"
] | null | null | null | nora10/mylakeinitpar.py | kojitominaga/scratch | 5eaf4de30c89ff1e855a6be493105d1201f07f74 | [
"FSFAP"
] | null | null | null | nora10/mylakeinitpar.py | kojitominaga/scratch | 5eaf4de30c89ff1e855a6be493105d1201f07f74 | [
"FSFAP"
] | null | null | null | import numpy as np
import os
depth_resolution = 0.1 # metre
def mylakeinit(max_depth, area):
'''max_depth: m, area: m2.
returns string to be written to an init file of MyLake
assumes a cone shaped bathymetry curve'''
depth_levels = np.arange(0, max_depth, depth_resolution)
if not max_depth i... | 31.531646 | 172 | 0.653954 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,819 | 0.730229 |
e76ef4520136e84bfa60de421094e1c1499594a2 | 5,854 | py | Python | StratLearner/run_PreTrain.py | cdslabamotong/stratLearner | 58f278d438eed92683a7daac2605ec39abd18c94 | [
"MIT"
] | 7 | 2020-12-02T06:58:30.000Z | 2022-03-04T01:21:59.000Z | StratLearner/run_PreTrain.py | dm-ytlds/stratLearner | 3ad880a5ca0472a3a5823fa27db7dd2bc8ba0f33 | [
"MIT"
] | null | null | null | StratLearner/run_PreTrain.py | dm-ytlds/stratLearner | 3ad880a5ca0472a3a5823fa27db7dd2bc8ba0f33 | [
"MIT"
] | 1 | 2020-12-02T06:58:32.000Z | 2020-12-02T06:58:32.000Z | """
==============================
StratLearner Training
==============================
"""
import numpy as np
from one_slack_ssvm import OneSlackSSVM
from stratLearner import (StratLearn, Utils, InputInstance)
import multiprocessing
import argparse
import os
import sys
from datetime import datetime
class Object(obje... | 29.27 | 178 | 0.686197 | 30 | 0.005125 | 0 | 0 | 0 | 0 | 0 | 0 | 1,152 | 0.196789 |
e76f72134d51ed0f47cafe05a038eba895df8c92 | 2,059 | py | Python | chapter10/mech.py | NetworkRanger/python-core | f0aa2c4ce0665e559e85aef04c40c42164cd838a | [
"MIT"
] | 1 | 2018-12-29T15:32:06.000Z | 2018-12-29T15:32:06.000Z | chapter10/mech.py | NetworkRanger/python-core | f0aa2c4ce0665e559e85aef04c40c42164cd838a | [
"MIT"
] | null | null | null | chapter10/mech.py | NetworkRanger/python-core | f0aa2c4ce0665e559e85aef04c40c42164cd838a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: NetworkRanger
# Date: 2019/8/11 9:39 AM
from BeautifulSoup import BeautifulSoup, SoupStrainer
from mechanize import Browser
BS = lambda page: page
YOUR_LOGIN = ''
YOUR_PASSWD = ''
br = Browser()
# home page
rsp = br.open('http://us.pycon.org/2011/home/')
print... | 30.731343 | 99 | 0.685284 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,047 | 0.508499 |
e77025bb43131ecd54379f02fd5583a531b73916 | 581 | py | Python | Assignment2/2-1/lib/session.py | Computer-Science-Lecture/ITE2038 | 3436ab4598e7ace334952156fa7a56b3124b5557 | [
"MIT"
] | null | null | null | Assignment2/2-1/lib/session.py | Computer-Science-Lecture/ITE2038 | 3436ab4598e7ace334952156fa7a56b3124b5557 | [
"MIT"
] | null | null | null | Assignment2/2-1/lib/session.py | Computer-Science-Lecture/ITE2038 | 3436ab4598e7ace334952156fa7a56b3124b5557 | [
"MIT"
] | 1 | 2018-09-07T01:47:09.000Z | 2018-09-07T01:47:09.000Z | from lib.permission import Permission
class Session(object):
def __init__(self, user: int, permission: Permission):
self.user = user
self.permission = permission
@property
def isAdmin(self) -> bool:
return self.permission == Permission.admin
def require():
def wrapper(... | 27.666667 | 58 | 0.567986 | 541 | 0.931153 | 0 | 0 | 285 | 0.490534 | 0 | 0 | 18 | 0.030981 |
e771901cac33122ea8a46bf698c48b3de96e015e | 886 | py | Python | nvic.py | dhylands/upy-examples | 90cca32f0c6c65c33967da9ac1a998e731c60d91 | [
"MIT"
] | 78 | 2015-01-15T23:24:21.000Z | 2022-02-25T09:24:58.000Z | nvic.py | dhylands/upy-examples | 90cca32f0c6c65c33967da9ac1a998e731c60d91 | [
"MIT"
] | 1 | 2015-02-04T00:51:52.000Z | 2015-02-04T00:51:52.000Z | nvic.py | dhylands/upy-examples | 90cca32f0c6c65c33967da9ac1a998e731c60d91 | [
"MIT"
] | 26 | 2015-02-03T21:26:33.000Z | 2022-02-21T02:57:46.000Z | import machine
SCS = 0xE000E000
SCB = SCS + 0x0D00
NVIC = SCS + 0x0100
VTOR = SCB + 0x08
SCB_SHP = SCB + 0x18
NVIC_PRIO = NVIC + 0x300
def dump_nvic():
print('NVIC_PRIO = {:08x} @ {:08x}'.format(machine.mem32[NVIC_PRIO], NVIC_PRIO))
print('VTOR = {:08x} @ {:08x}'.format(machine.mem32[VTOR], VTOR))
... | 23.945946 | 84 | 0.546275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 109 | 0.123025 |
e772c6aaf22ad97381e12d6d2154f737e40ff951 | 9,152 | py | Python | trimesh/primitives.py | maganrobotics/UR3e-manipulation | ceaf650b1a811d0bfc3baf175d353fc7f4a33522 | [
"MIT"
] | null | null | null | trimesh/primitives.py | maganrobotics/UR3e-manipulation | ceaf650b1a811d0bfc3baf175d353fc7f4a33522 | [
"MIT"
] | null | null | null | trimesh/primitives.py | maganrobotics/UR3e-manipulation | ceaf650b1a811d0bfc3baf175d353fc7f4a33522 | [
"MIT"
] | null | null | null | import numpy as np
from . import util
from . import points
from . import creation
from .base import Trimesh
from .constants import log
from .triangles import windings_aligned
class Primitive(Trimesh):
'''
Geometric primitives which are a subclass of Trimesh.
Mesh is generated lazily when vertices... | 33.52381 | 87 | 0.605114 | 8,959 | 0.978912 | 0 | 0 | 4,096 | 0.447552 | 0 | 0 | 2,324 | 0.253934 |
e7742de3e4510356f7231d426f247a622c865b21 | 1,923 | py | Python | discordbot.py | asamii0006/discordpy-startup | 3a14a4155373fff96067954e85ad64658e4bbbf5 | [
"MIT"
] | null | null | null | discordbot.py | asamii0006/discordpy-startup | 3a14a4155373fff96067954e85ad64658e4bbbf5 | [
"MIT"
] | null | null | null | discordbot.py | asamii0006/discordpy-startup | 3a14a4155373fff96067954e85ad64658e4bbbf5 | [
"MIT"
] | null | null | null | from discord.ext import commands
import os
import traceback
bot = commands.Bot(command_prefix='/')
token = os.environ['DISCORD_BOT_TOKEN']
@bot.event
async def on_command_error(ctx, error):
orig_error = getattr(error, "original", error)
error_msg = ''.join(traceback.TracebackException.from_exception(orig_err... | 22.103448 | 89 | 0.651586 | 0 | 0 | 0 | 0 | 560 | 0.270662 | 506 | 0.244563 | 378 | 0.182697 |
e7765cf07995f7e47b792bf00a9c30793c228c4a | 1,604 | py | Python | filling/parse/ex.py | nvxden/flask-films | 038f4bcaa7feabdfff7662fb1048bf48515e5c26 | [
"MIT"
] | null | null | null | filling/parse/ex.py | nvxden/flask-films | 038f4bcaa7feabdfff7662fb1048bf48515e5c26 | [
"MIT"
] | null | null | null | filling/parse/ex.py | nvxden/flask-films | 038f4bcaa7feabdfff7662fb1048bf48515e5c26 | [
"MIT"
] | null | null | null | import asyncio as aio
import os
import re
from aiohttp import ClientSession
from pageloader import LoadPageTask, PageLoader
from nvxlira import Lira
from nvxaex import Executor
############################################################
# class
class LoadPage(LoadPageTask):
def __str__(self):
retur... | 20.831169 | 93 | 0.545511 | 72 | 0.044888 | 0 | 0 | 0 | 0 | 204 | 0.127182 | 750 | 0.467581 |
e776bec5c2d6010767a894ee51a22e9c4a498c74 | 5,803 | py | Python | Incident-Response/Tools/cyphon/cyphon/contexts/autocomplete_light_registry.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 1 | 2021-07-24T17:22:50.000Z | 2021-07-24T17:22:50.000Z | Incident-Response/Tools/cyphon/cyphon/contexts/autocomplete_light_registry.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-28T03:40:31.000Z | 2022-02-28T03:40:52.000Z | Incident-Response/Tools/cyphon/cyphon/contexts/autocomplete_light_registry.py | sn0b4ll/Incident-Playbook | cf519f58fcd4255674662b3620ea97c1091c1efb | [
"MIT"
] | 2 | 2022-02-25T08:34:51.000Z | 2022-03-16T17:29:44.000Z | # -*- coding: utf-8 -*-
# Copyright 2017-2019 ControlScan, Inc.
#
# This file is part of Cyphon Engine.
#
# Cyphon Engine is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of the License.
#
# Cyphon En... | 33.16 | 85 | 0.697398 | 4,485 | 0.772876 | 0 | 0 | 0 | 0 | 0 | 0 | 2,750 | 0.473893 |
e77801f926d4f34148ef7757e8d2132f28e45ad4 | 2,228 | py | Python | download snipets.py | alxcord/my_public_scripts | 856decd73afe869b68095d5ab21d32ea261d872f | [
"Apache-2.0"
] | null | null | null | download snipets.py | alxcord/my_public_scripts | 856decd73afe869b68095d5ab21d32ea261d872f | [
"Apache-2.0"
] | null | null | null | download snipets.py | alxcord/my_public_scripts | 856decd73afe869b68095d5ab21d32ea261d872f | [
"Apache-2.0"
] | null | null | null | import urllib.request
...
url = 'http://example.com/'
response = urllib.request.urlopen(url)
data = response.read() # a `bytes` object
text = data.decode('utf-8') # a `str`; this step can't be used if data is binary
import urllib.request
import gzip
...
# Read the first 64 bytes of the file inside t... | 25.318182 | 144 | 0.670108 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 786 | 0.352783 |
e77966df213ba660b9ceebdaefcb943c9ce395a4 | 33,959 | py | Python | wavespin/scattering1d/utils.py | OverLordGoldDragon/dev_tg | 1e06b89c1b0b5e95d9c53fda2efd02e41f708718 | [
"MIT"
] | 2 | 2020-03-28T05:37:34.000Z | 2020-09-17T20:02:21.000Z | wavespin/scattering1d/utils.py | OverLordGoldDragon/dev_tg | 1e06b89c1b0b5e95d9c53fda2efd02e41f708718 | [
"MIT"
] | 2 | 2020-06-02T17:52:53.000Z | 2020-09-18T00:46:34.000Z | wavespin/scattering1d/utils.py | OverLordGoldDragon/dev_tg | 1e06b89c1b0b5e95d9c53fda2efd02e41f708718 | [
"MIT"
] | 1 | 2020-06-02T17:52:24.000Z | 2020-06-02T17:52:24.000Z | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2022- John Muradeli
#
# Distributed under the terms of the MIT License
# (see wavespin/__init__.py for details)
# -----------------------------------------------------------------------------
import n... | 40.427381 | 83 | 0.55835 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15,007 | 0.441915 |
e77ae9d82735c469e3ecb3a79c3b10547249e4e0 | 350 | py | Python | Demo/Demo_gym/envs/classic_control/__init__.py | Remosy/iceHocekeyIRL | 1ffeaf8a9bd9585038629be41a2da552e0a4473b | [
"MIT"
] | null | null | null | Demo/Demo_gym/envs/classic_control/__init__.py | Remosy/iceHocekeyIRL | 1ffeaf8a9bd9585038629be41a2da552e0a4473b | [
"MIT"
] | 3 | 2019-03-09T02:35:24.000Z | 2019-09-27T11:05:01.000Z | Demo/Demo_gym/envs/classic_control/__init__.py | Remosy/iceHocekeyIRL | 1ffeaf8a9bd9585038629be41a2da552e0a4473b | [
"MIT"
] | null | null | null | from Demo_gym.envs.classic_control.cartpole import CartPoleEnv
from Demo_gym.envs.classic_control.mountain_car import MountainCarEnv
from Demo_gym.envs.classic_control.continuous_mountain_car import Continuous_MountainCarEnv
from Demo_gym.envs.classic_control.pendulum import PendulumEnv
from Demo_gym.envs.classic_contr... | 50 | 91 | 0.897143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e77bc1533880b4a66753674e008ece8b99afe6f5 | 3,959 | py | Python | google-datacatalog-kafka-connector/tests/google/datacatalog_connectors/kafka/prepare/assembled_entry_factory_test.py | bonifacyj/datacatalog-connectors-message-brokers | 0f72c800ebf1e570b638a0ad930d48e9dc44a25e | [
"Apache-2.0"
] | 1 | 2021-04-30T22:52:41.000Z | 2021-04-30T22:52:41.000Z | google-datacatalog-kafka-connector/tests/google/datacatalog_connectors/kafka/prepare/assembled_entry_factory_test.py | bonifacyj/datacatalog-connectors-message-brokers | 0f72c800ebf1e570b638a0ad930d48e9dc44a25e | [
"Apache-2.0"
] | 2 | 2020-10-01T14:24:12.000Z | 2020-11-12T16:40:01.000Z | google-datacatalog-kafka-connector/tests/google/datacatalog_connectors/kafka/prepare/assembled_entry_factory_test.py | bonifacyj/datacatalog-connectors-message-brokers | 0f72c800ebf1e570b638a0ad930d48e9dc44a25e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 42.569892 | 79 | 0.717605 | 3,003 | 0.758525 | 0 | 0 | 3,080 | 0.777974 | 0 | 0 | 988 | 0.249558 |
e77c7c1bc1c9242cd9b4a6f6bef09a3ab1d3884c | 731 | py | Python | _unittests/ut_datasource/test_geodata.py | sdpython/pyensae | ada4dbb0b9901bf481eff2ea239e74ed964d93b0 | [
"MIT"
] | 28 | 2015-07-19T21:20:51.000Z | 2022-02-16T11:50:53.000Z | _unittests/ut_datasource/test_geodata.py | sdpython/pyensae | ada4dbb0b9901bf481eff2ea239e74ed964d93b0 | [
"MIT"
] | 34 | 2015-06-16T15:38:25.000Z | 2021-12-29T11:04:01.000Z | _unittests/ut_datasource/test_geodata.py | sdpython/pyensae | ada4dbb0b9901bf481eff2ea239e74ed964d93b0 | [
"MIT"
] | 27 | 2015-01-13T08:24:22.000Z | 2022-03-31T14:51:23.000Z | """
@brief test log(time=3s)
"""
import unittest
from pyquickhelper.pycode import ExtTestCase, get_temp_folder
from pyensae.datasource import load_french_departements
class TestGeoData(ExtTestCase):
def test_load_french_departements(self):
temp = get_temp_folder(__file__, "temp_load_french_departeme... | 31.782609 | 92 | 0.670315 | 507 | 0.69357 | 0 | 0 | 0 | 0 | 0 | 0 | 206 | 0.281806 |
e77e265dab3efd07cc86c0fb9a999b719d05fb9d | 1,053 | py | Python | openfe/setup/methods/base.py | OpenFreeEnergy/openfe | f2423ed2e4444a0824ff9b560e23b420c4997c6f | [
"MIT"
] | 14 | 2022-01-24T22:01:19.000Z | 2022-03-31T04:58:35.000Z | openfe/setup/methods/base.py | OpenFreeEnergy/openfe | f2423ed2e4444a0824ff9b560e23b420c4997c6f | [
"MIT"
] | 109 | 2022-01-24T18:57:05.000Z | 2022-03-31T20:13:07.000Z | openfe/setup/methods/base.py | OpenFreeEnergy/openfe | f2423ed2e4444a0824ff9b560e23b420c4997c6f | [
"MIT"
] | 4 | 2022-01-24T18:45:54.000Z | 2022-02-21T06:28:24.000Z | # This code is part of OpenFE and is licensed under the MIT license.
# For details, see https://github.com/OpenFreeEnergy/openfe
import abc
from openff.toolkit.utils.serialization import Serializable
class FEMethod(abc.ABC):
"""Base class for defining a free energy method
Child classes must implement:
-... | 27 | 71 | 0.660019 | 849 | 0.806268 | 0 | 0 | 461 | 0.437797 | 0 | 0 | 696 | 0.660969 |
e77e4dc700080418326c39439db7328ed34301f1 | 3,351 | py | Python | miscellaneous_server_test/time_distribution/time_distribution.py | gellens/Master_thesis_JAQ_code | 034de9d7883c0d81564f975405c8985aa4b4d428 | [
"MIT"
] | null | null | null | miscellaneous_server_test/time_distribution/time_distribution.py | gellens/Master_thesis_JAQ_code | 034de9d7883c0d81564f975405c8985aa4b4d428 | [
"MIT"
] | null | null | null | miscellaneous_server_test/time_distribution/time_distribution.py | gellens/Master_thesis_JAQ_code | 034de9d7883c0d81564f975405c8985aa4b4d428 | [
"MIT"
] | 1 | 2020-03-05T14:09:01.000Z | 2020-03-05T14:09:01.000Z | # import matplotlib
# import statsmodels as sm
# import scipy.stats as st
# import pandas as pd
# import warnings
import json
import os
from scipy.stats import gamma
from scipy.stats import lognorm
from scipy.stats import pareto
from scipy.stats import norm
import numpy as np
import matplotlib.pyplot as plt
def warm... | 31.027778 | 175 | 0.63026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 888 | 0.264996 |
e77f1fd0092c945c3470861a6d81a4b28e40b56f | 422 | py | Python | phasma_food_v2/devices/admin.py | VizLoreLabs/phasmaFoodPlatform | 02c811c9178f338e081efbeacadb37c766dcb2db | [
"Apache-1.1"
] | null | null | null | phasma_food_v2/devices/admin.py | VizLoreLabs/phasmaFoodPlatform | 02c811c9178f338e081efbeacadb37c766dcb2db | [
"Apache-1.1"
] | null | null | null | phasma_food_v2/devices/admin.py | VizLoreLabs/phasmaFoodPlatform | 02c811c9178f338e081efbeacadb37c766dcb2db | [
"Apache-1.1"
] | null | null | null | from django.contrib import admin
from .models import PhasmaDevice
@admin.register(PhasmaDevice)
class PhasmaDeviceAdmin(admin.ModelAdmin):
list_display = ("mac", "name", "date_added")
fieldsets = (
("Info", {"fields": ("mac", "name")}),
("Date added/updated", {"fields": ("date_added", "date_u... | 28.133333 | 74 | 0.64455 | 322 | 0.763033 | 0 | 0 | 352 | 0.834123 | 0 | 0 | 141 | 0.334123 |
e77f4dac26b5f08c981a363bf893116d6ff184f3 | 1,400 | py | Python | scripts/af_assemblyPrep.py | aaronfang/small-Scripts | 890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d | [
"MIT"
] | 1 | 2018-03-08T16:34:00.000Z | 2018-03-08T16:34:00.000Z | scripts/af_assemblyPrep.py | aaronfang/personal_scripts | 890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d | [
"MIT"
] | null | null | null | scripts/af_assemblyPrep.py | aaronfang/personal_scripts | 890b10ab19fa9cdf2415aaf2dc08b81cc64fc79d | [
"MIT"
] | null | null | null | import pymel.core as pm
# Step1:
# Select top group node. Run the following.It will generate a locator.
# Send to the current group pivot position.
# You can position the locator where you want to represent the final pivot position.
curSel = pm.ls(sl=True,type='transform')[0]
trans = pm.xform(curSel,ws=1,piv=1,q=1)
r... | 33.333333 | 95 | 0.702857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 507 | 0.362143 |
e77fe1c595ad1068d9142dbaa9c92e34b2d27d6a | 3,270 | py | Python | util/vis_tool.py | LiderMyHand/AWR-Adaptive-Weighting-Regression | 81c4c98edd98cd03d423d820ca1fe9e01dbbb242 | [
"MIT"
] | 90 | 2020-03-16T15:18:57.000Z | 2022-03-16T10:02:52.000Z | util/vis_tool.py | LiderMyHand/AWR-Adaptive-Weighting-Regression | 81c4c98edd98cd03d423d820ca1fe9e01dbbb242 | [
"MIT"
] | 16 | 2020-05-01T03:11:44.000Z | 2021-12-14T13:03:38.000Z | util/vis_tool.py | LiderMyHand/AWR-Adaptive-Weighting-Regression | 81c4c98edd98cd03d423d820ca1fe9e01dbbb242 | [
"MIT"
] | 16 | 2020-05-21T09:07:04.000Z | 2022-02-22T13:00:19.000Z | import os.path as osp
import matplotlib.pyplot as plt
import numpy as np
import cv2
class VisualUtil:
def __init__(self, dataset):
self.dataset = dataset
# RED BGR
self.color_pred = [(0,0,102), (0,0,179), (0,0,255), (77,77,255), (153,153,255)]
# self.color_pred = ['#660000', '#b300... | 39.39759 | 89 | 0.410092 | 3,180 | 0.972477 | 0 | 0 | 0 | 0 | 0 | 0 | 191 | 0.05841 |
e7808d26b562a5ddeb70cd3327c78d41fcdc891d | 1,113 | py | Python | lib/exabgp/bgp/message/update/attribute/community/extended/mac_mobility.py | cloudscale-ch/exabgp | 55ee496dfbc3fce75c5107fae7a7d38567154d46 | [
"BSD-3-Clause"
] | 1 | 2019-06-25T20:49:37.000Z | 2019-06-25T20:49:37.000Z | lib/exabgp/bgp/message/update/attribute/community/extended/mac_mobility.py | nembery/exabgp | 53cfff843ddde33bf1c437a1c4ce99de20c6bade | [
"BSD-3-Clause"
] | null | null | null | lib/exabgp/bgp/message/update/attribute/community/extended/mac_mobility.py | nembery/exabgp | 53cfff843ddde33bf1c437a1c4ce99de20c6bade | [
"BSD-3-Clause"
] | 1 | 2020-07-23T16:52:51.000Z | 2020-07-23T16:52:51.000Z | # encoding: utf-8
"""
mac_mobility.py
Created by Anton Aksola on 2018-11-03
"""
from struct import pack
from struct import unpack
from exabgp.bgp.message.update.attribute.community.extended import ExtendedCommunity
# ================================================================== MacMobility
# RFC 7432 Section 7... | 22.26 | 84 | 0.666667 | 759 | 0.681941 | 0 | 0 | 787 | 0.707098 | 0 | 0 | 244 | 0.219227 |
e780d9438e176381d9f02f6add14e1524a0e07ab | 867 | py | Python | aprendizado/udemy/03_desafio_POO/main.py | renatodev95/Python | 2adee4a01de41f8bbb68fce563100c135a5ab549 | [
"MIT"
] | null | null | null | aprendizado/udemy/03_desafio_POO/main.py | renatodev95/Python | 2adee4a01de41f8bbb68fce563100c135a5ab549 | [
"MIT"
] | null | null | null | aprendizado/udemy/03_desafio_POO/main.py | renatodev95/Python | 2adee4a01de41f8bbb68fce563100c135a5ab549 | [
"MIT"
] | null | null | null | from banco import Banco
from cliente import Cliente
from conta import ContaCorrente, ContaPoupanca
banco = Banco()
cliente1 = Cliente('Luiz', 30)
cliente2 = Cliente('Maria', 18)
cliente3 = Cliente('João', 50)
conta1 = ContaPoupanca(1111, 254136, 0)
conta2 = ContaCorrente(2222, 254137, 0)
conta3 = ContaPoupanca(1212,... | 22.815789 | 46 | 0.734717 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.124138 |
e781cdbe0452060897cb4aa77bea0b37fe424f36 | 386 | py | Python | detection_tf/scripts/stuff/node_finder.py | hywel1994/SARosPerceptionKitti | 82c307facb5b39e47c510fbdb132962cebf09d2e | [
"MIT"
] | 5 | 2019-01-17T03:08:41.000Z | 2021-10-31T17:02:11.000Z | detection_tf/scripts/stuff/node_finder.py | hywel1994/SARosPerceptionKitti | 82c307facb5b39e47c510fbdb132962cebf09d2e | [
"MIT"
] | 11 | 2020-02-05T00:36:38.000Z | 2020-05-31T23:20:21.000Z | detection_tf/scripts/stuff/node_finder.py | hywel1994/SARosPerceptionKitti | 82c307facb5b39e47c510fbdb132962cebf09d2e | [
"MIT"
] | 4 | 2018-11-02T09:57:59.000Z | 2021-04-27T01:20:04.000Z | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 11 15:58:42 2018
@author: gustav
"""
import tensorflow as tf
NODE_OPS = ['Placeholder','Identity']
MODEL_FILE = '../models/ssd_mobilenet_v11_coco/frozen_inference_graph.pb'
gf = tf.GraphDef()
gf.ParseFromString(open(MODEL_FILE,'rb').read())
prin... | 21.444444 | 73 | 0.681347 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 196 | 0.507772 |
e78557afcf99f289bebfa26454aa02ac75ba1622 | 1,483 | py | Python | Clustering_Algorithms/create_chart.py | NikhilGupta1997/Data-Mining-Algorithms | 56c9acca3d4f62b72e0ec22e150421eaee2dc850 | [
"MIT"
] | 7 | 2018-12-25T07:52:51.000Z | 2021-05-17T23:53:18.000Z | Clustering_Algorithms/create_chart.py | NikhilGupta1997/Data-Mining-Algorithms | 56c9acca3d4f62b72e0ec22e150421eaee2dc850 | [
"MIT"
] | null | null | null | Clustering_Algorithms/create_chart.py | NikhilGupta1997/Data-Mining-Algorithms | 56c9acca3d4f62b72e0ec22e150421eaee2dc850 | [
"MIT"
] | null | null | null | import numpy as np
import sys
import matplotlib.pyplot as plt
file = 'optics.txt'
minpts = int(sys.argv[1])
epsilon = float(sys.argv[2])
X = []
Y = []
cluster_inds = []
inds = []
noise = []
buff = []
counter = 0
for i, line in enumerate(open(file).readlines()):
counter += 1
val = line.strip().split()
idx = int(va... | 20.315068 | 94 | 0.631153 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 224 | 0.151045 |
e785fb58d580cc912f9ca3247c8aec7176d88b83 | 1,087 | py | Python | setup.py | yudevan/django-indonesia-regions | 5c01798c534e101115a1c943d13c6caa78897e01 | [
"MIT"
] | 5 | 2016-06-26T15:18:14.000Z | 2020-09-25T06:22:35.000Z | setup.py | yudevan/django-indonesia-regions | 5c01798c534e101115a1c943d13c6caa78897e01 | [
"MIT"
] | 5 | 2017-10-26T04:01:02.000Z | 2021-02-03T04:34:11.000Z | setup.py | yudevan/django-indonesia-regions | 5c01798c534e101115a1c943d13c6caa78897e01 | [
"MIT"
] | 7 | 2016-06-26T07:04:49.000Z | 2021-02-02T13:41:02.000Z | import os
from setuptools import find_packages, setup
# allow setup.py to be run from any path
os.chdir(os.path.normpath(os.path.join(os.path.abspath(__file__), os.pardir)))
setup(
name='django-indonesia-regions',
version='1.0.6',
packages=find_packages(),
include_package_data=True,
license='MIT ... | 33.96875 | 97 | 0.651334 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 646 | 0.594296 |
e78630157ef111fb5facf453b100529fad826536 | 370 | py | Python | objectModel/Python/cdm/enums/cdm_incremental_partition_type.py | Microsoft/CDM | 7ea59264d661356ca1b44c31a352753928d08b5f | [
"CC-BY-4.0",
"MIT"
] | 265 | 2018-03-04T04:47:50.000Z | 2019-05-06T13:31:18.000Z | objectModel/Python/cdm/enums/cdm_incremental_partition_type.py | Microsoft/CDM | 7ea59264d661356ca1b44c31a352753928d08b5f | [
"CC-BY-4.0",
"MIT"
] | 39 | 2018-03-21T16:57:12.000Z | 2019-05-06T17:30:23.000Z | objectModel/Python/cdm/enums/cdm_incremental_partition_type.py | Microsoft/CDM | 7ea59264d661356ca1b44c31a352753928d08b5f | [
"CC-BY-4.0",
"MIT"
] | 75 | 2018-03-09T20:33:13.000Z | 2019-05-05T06:55:43.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
from enum import Enum
class CdmIncrementalPartitionType(Enum):
NONE = 'None'
INSERT = 'Insert'
UPDATE = 'Update'
DELETE = 'Delete'
UPSERT = 'U... | 24.666667 | 94 | 0.716216 | 188 | 0.508108 | 0 | 0 | 0 | 0 | 0 | 0 | 208 | 0.562162 |
e7868823ca8a161623e547b6d7f6127e53f6a1db | 534 | py | Python | app/back/mongo/data/collect/maps/mongo.py | jgphilpott/polyplot | c46861174ee5881dadffbfb2278d555462523547 | [
"MIT"
] | 5 | 2021-05-17T14:17:14.000Z | 2021-12-14T12:54:32.000Z | app/back/mongo/data/collect/maps/mongo.py | jgphilpott/iGraph | 2a91ba57e4950856a83d3a109753f8f2badee829 | [
"MIT"
] | 8 | 2020-02-09T02:48:41.000Z | 2021-05-16T04:57:02.000Z | app/back/mongo/data/collect/maps/mongo.py | jgphilpott/iGraph | 2a91ba57e4950856a83d3a109753f8f2badee829 | [
"MIT"
] | 2 | 2016-09-12T03:48:16.000Z | 2019-05-04T14:15:19.000Z | from back.mongo.data.collect.ions import find_collection
from back.mongo.data.collect.maps.model import Map
def find_map(query={}, filter={"_id": 0}, detail="micro"):
collection = find_collection("maps_" + detail)
return dict(collection.find_one(query, filter))
def find_maps(query={}, filter={"_id": 0}, sor... | 31.411765 | 99 | 0.713483 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.102996 |
e786a7b6d7533638ac5bb296afe211e365fb9e28 | 7,727 | py | Python | test/unitTest/arg_test.py | alljoyn/devtools-codegen | 388cac15e584dce3040d5090e8f627e5360e5c0f | [
"0BSD"
] | null | null | null | test/unitTest/arg_test.py | alljoyn/devtools-codegen | 388cac15e584dce3040d5090e8f627e5360e5c0f | [
"0BSD"
] | null | null | null | test/unitTest/arg_test.py | alljoyn/devtools-codegen | 388cac15e584dce3040d5090e8f627e5360e5c0f | [
"0BSD"
] | null | null | null | # Copyright AllSeen Alliance. All rights reserved.
#
# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR... | 39.423469 | 75 | 0.640481 | 6,802 | 0.88029 | 0 | 0 | 0 | 0 | 0 | 0 | 1,877 | 0.242914 |
e78723495183f0fe8aa489d98c4605dbae6178f0 | 914 | py | Python | nlpatl/sampling/uncertainty/least_confidence.py | dumpmemory/nlpatl | 59209242d1ac26714b11b86261070ac50cc90432 | [
"MIT"
] | 18 | 2021-11-29T06:43:46.000Z | 2022-03-29T09:58:32.000Z | nlpatl/sampling/uncertainty/least_confidence.py | dumpmemory/nlpatl | 59209242d1ac26714b11b86261070ac50cc90432 | [
"MIT"
] | null | null | null | nlpatl/sampling/uncertainty/least_confidence.py | dumpmemory/nlpatl | 59209242d1ac26714b11b86261070ac50cc90432 | [
"MIT"
] | 1 | 2021-11-29T06:43:47.000Z | 2021-11-29T06:43:47.000Z | from typing import Tuple
import numpy as np
from nlpatl.sampling import Sampling
class LeastConfidenceSampling(Sampling):
"""
Sampling data points according to the least confidence. Pick the lowest
probabilies for the highest class. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1... | 30.466667 | 132 | 0.659737 | 822 | 0.899344 | 0 | 0 | 0 | 0 | 0 | 0 | 341 | 0.373085 |
e787bcef0fe3c055b3e9f9ae08c31b576c247a87 | 2,376 | py | Python | random_video.py | enriqueav/the_random_video | 0dbeef2efbbad33351fd106b16095b4bb3ed8821 | [
"MIT"
] | 1 | 2020-11-07T17:15:27.000Z | 2020-11-07T17:15:27.000Z | random_video.py | enriqueav/the_random_video | 0dbeef2efbbad33351fd106b16095b4bb3ed8821 | [
"MIT"
] | null | null | null | random_video.py | enriqueav/the_random_video | 0dbeef2efbbad33351fd106b16095b4bb3ed8821 | [
"MIT"
] | null | null | null | import argparse
import time
from taor.randomvideo import random_video
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description='Create random videos. The --seed argument can be used to generate'
'consistent results. By default the name of the video will contain the epoch... | 44.830189 | 97 | 0.513889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 828 | 0.348485 |
e787dc94ca4111ab33a1d29a9785aad5e480ebdf | 2,524 | py | Python | src/leetcode_1743_restore_the_array_from_adjacent_pairs.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | src/leetcode_1743_restore_the_array_from_adjacent_pairs.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | src/leetcode_1743_restore_the_array_from_adjacent_pairs.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | # @l2g 1743 python3
# [1743] Restore the Array From Adjacent Pairs
# Difficulty: Medium
# https://leetcode.com/problems/restore-the-array-from-adjacent-pairs
#
# There is an integer array nums that consists of n unique elements,but you have forgotten it.However,
# you do remember every pair of adjacent elements in nums... | 30.409639 | 106 | 0.638669 | 881 | 0.349049 | 0 | 0 | 0 | 0 | 0 | 0 | 1,483 | 0.587559 |
e789b7eb8d4c8742185f24806004dfff92a4a404 | 1,449 | py | Python | timetable/timetable.py | Huy-Ngo/usth-timetable-2 | d9f653ee2cb138b075c7c630b6f8be08d959cb08 | [
"MIT"
] | null | null | null | timetable/timetable.py | Huy-Ngo/usth-timetable-2 | d9f653ee2cb138b075c7c630b6f8be08d959cb08 | [
"MIT"
] | null | null | null | timetable/timetable.py | Huy-Ngo/usth-timetable-2 | d9f653ee2cb138b075c7c630b6f8be08d959cb08 | [
"MIT"
] | null | null | null | import datetime
from flask import (
Blueprint, flash, g, redirect, render_template, request, url_for, session
)
from werkzeug.exceptions import abort
from timetable.student_auth import login_required
from . import db, updater
bp = Blueprint('timetable', __name__)
@bp.route('/', methods=['GET'])
def index():
user... | 30.1875 | 124 | 0.73844 | 0 | 0 | 0 | 0 | 1,172 | 0.808834 | 0 | 0 | 368 | 0.253968 |
e78c94bb5cf3e2d928816be2ee0ebeb373a52cb8 | 4,912 | py | Python | apps/sepa/tests/integration.py | jfterpstra/onepercentclub-site | 43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e | [
"BSD-3-Clause"
] | 7 | 2015-01-02T19:31:14.000Z | 2021-03-22T17:30:23.000Z | apps/sepa/tests/integration.py | jfterpstra/onepercentclub-site | 43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e | [
"BSD-3-Clause"
] | 1 | 2015-03-06T08:34:59.000Z | 2015-03-06T08:34:59.000Z | apps/sepa/tests/integration.py | jfterpstra/onepercentclub-site | 43e8e01ac4d3d1ffdd5959ebd048ce95bb2dba0e | [
"BSD-3-Clause"
] | null | null | null | import os
import unittest
import decimal
from lxml import etree
from apps.sepa.sepa import SepaAccount, SepaDocument
from .base import SepaXMLTestMixin
class ExampleXMLTest(SepaXMLTestMixin, unittest.TestCase):
""" Attempt to test recreating an example XML file """
def setUp(self):
super(ExampleXML... | 31.896104 | 107 | 0.578583 | 4,752 | 0.967427 | 0 | 0 | 0 | 0 | 0 | 0 | 1,448 | 0.294788 |
e78d0b3c483bba3574b16e118dcb9461ba02bf95 | 2,992 | py | Python | freeflow/core/tests/dag.py | enorha/freeflow | 5b655ce616d408e566b0b900f96b24804dc49578 | [
"Apache-2.0"
] | 1 | 2021-11-19T08:48:00.000Z | 2021-11-19T08:48:00.000Z | freeflow/core/tests/dag.py | enorha/freeflow | 5b655ce616d408e566b0b900f96b24804dc49578 | [
"Apache-2.0"
] | 1 | 2022-01-06T23:11:02.000Z | 2022-01-06T23:11:02.000Z | freeflow/core/tests/dag.py | enorha/freeflow | 5b655ce616d408e566b0b900f96b24804dc49578 | [
"Apache-2.0"
] | 2 | 2021-11-19T08:51:35.000Z | 2021-12-24T14:39:00.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import unittest
import freeflow.core.tests
from airflow import models as af_models
class DagTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls._dag_files = freeflow.core.tests.dag_files
def test_dag_integrity(self):
def check_valid... | 31.829787 | 98 | 0.531417 | 2,813 | 0.940174 | 0 | 0 | 92 | 0.030749 | 0 | 0 | 1,284 | 0.429144 |
e78d767af998e6e80008e8c991011efc8624eff7 | 1,429 | py | Python | pingdomexport/tests/load/test_checks_output.py | mattboston/pingdomexport | 1cd7acbf813abee0b9a7865b9cd4a1e166d55c37 | [
"MIT"
] | 4 | 2018-01-25T09:18:38.000Z | 2021-02-12T18:36:08.000Z | pingdomexport/tests/load/test_checks_output.py | mattboston/pingdomexport | 1cd7acbf813abee0b9a7865b9cd4a1e166d55c37 | [
"MIT"
] | 1 | 2018-12-04T18:42:06.000Z | 2021-05-25T14:03:32.000Z | pingdomexport/tests/load/test_checks_output.py | mattboston/pingdomexport | 1cd7acbf813abee0b9a7865b9cd4a1e166d55c37 | [
"MIT"
] | 3 | 2019-04-30T11:52:14.000Z | 2021-03-24T20:58:04.000Z | from pingdomexport.load import checks_output
class TestOutput:
def test_load(self, capsys):
checks_output.Output().load(
[
{
'hostname': 'www.a.com',
'use_legacy_notifications': True,
'lastresponsetime': 411,
... | 34.853659 | 152 | 0.401679 | 1,382 | 0.96711 | 0 | 0 | 0 | 0 | 0 | 0 | 428 | 0.29951 |
e78dbfdb3c598a36053c36006335775401473a5a | 83 | py | Python | Project_3/source/test_perihelion/test_perihelion.py | larsjbro/FYS4150 | 95ac4e09b5aad133b29c9aabb5be1302abdd8e65 | [
"BSD-2-Clause"
] | null | null | null | Project_3/source/test_perihelion/test_perihelion.py | larsjbro/FYS4150 | 95ac4e09b5aad133b29c9aabb5be1302abdd8e65 | [
"BSD-2-Clause"
] | null | null | null | Project_3/source/test_perihelion/test_perihelion.py | larsjbro/FYS4150 | 95ac4e09b5aad133b29c9aabb5be1302abdd8e65 | [
"BSD-2-Clause"
] | null | null | null | '''
Created on 30. okt. 2017
@author: LJB
'''
if __name__ == '__main__':
pass | 10.375 | 26 | 0.590361 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.674699 |
e79009e224114b1ec0ae87c6bd3d54452a3b6720 | 791 | py | Python | story_with_exercises/5_ex_rename_like_a_pro.py | flrs/pycharm_tips_and_tricks | 21a2768f2cc3b6b2af8e672d32c7bd178900adad | [
"MIT"
] | 1 | 2020-02-17T15:08:57.000Z | 2020-02-17T15:08:57.000Z | story_with_exercises/5_ex_rename_like_a_pro.py | flrs/pycharm_tips_and_tricks | 21a2768f2cc3b6b2af8e672d32c7bd178900adad | [
"MIT"
] | null | null | null | story_with_exercises/5_ex_rename_like_a_pro.py | flrs/pycharm_tips_and_tricks | 21a2768f2cc3b6b2af8e672d32c7bd178900adad | [
"MIT"
] | null | null | null | """Rename Like a Pro
Exercise:
The contents of the people_on_meetup variable look more like a zoo. Let's rename the following items:
- variable "people_on_meetup" -> "animals_in_zoo"
- class "Meetup" -> "Zoo"
To rename an item, put the cursor on the item you want to rename and then press Shift+F6 on Windows/... | 22.6 | 105 | 0.663717 | 140 | 0.176545 | 0 | 0 | 0 | 0 | 0 | 0 | 466 | 0.587642 |
e79061260d07a54089774bc6a61e074894413160 | 832 | py | Python | bot/plugins/trivia/content/flags.py | best-coloc-ever/globibot | a4c4dd8bb3b71bff09bd2e1c4c5ce58ab1bad176 | [
"MIT"
] | 14 | 2016-02-03T16:47:01.000Z | 2019-12-09T14:24:25.000Z | bot/plugins/trivia/content/flags.py | best-coloc-ever/globibot | a4c4dd8bb3b71bff09bd2e1c4c5ce58ab1bad176 | [
"MIT"
] | 11 | 2016-08-19T22:00:25.000Z | 2022-01-13T00:39:48.000Z | bot/plugins/trivia/content/flags.py | best-coloc-ever/globibot | a4c4dd8bb3b71bff09bd2e1c4c5ce58ab1bad176 | [
"MIT"
] | 6 | 2016-08-19T21:30:58.000Z | 2019-09-27T05:24:08.000Z | from .helpers import *
from .behavior import trivia_behavior
from io import BytesIO
DELAY = 20
async def premise(item):
country, image = item
flag_image_url = 'https://www.countries-ofthe-world.com/{}'.format(image)
flag_image = await Utils.fetch(flag_image_url)
return dict(
file_path=Bytes... | 24.470588 | 86 | 0.679087 | 0 | 0 | 0 | 0 | 0 | 0 | 359 | 0.43149 | 130 | 0.15625 |
e790a3d718923f21aded92fe9214fe4322d6f5f0 | 2,687 | py | Python | pipe_text_wrapper.py | STealthy-and-haSTy/PipeText | 518149cc3183ab9b6ba22be47405677259b7db7a | [
"MIT"
] | 1 | 2020-10-16T08:41:23.000Z | 2020-10-16T08:41:23.000Z | pipe_text_wrapper.py | STealthy-and-haSTy/PipeText | 518149cc3183ab9b6ba22be47405677259b7db7a | [
"MIT"
] | null | null | null | pipe_text_wrapper.py | STealthy-and-haSTy/PipeText | 518149cc3183ab9b6ba22be47405677259b7db7a | [
"MIT"
] | null | null | null | import sublime
import sublime_plugin
### ---------------------------------------------------------------------------
class PipeCommandHistory():
LIST_LIMIT = 50
def __init__(self):
self.storage = []
def push(self, text, temp=False):
self.del_duplicates(text)
self.storage.insert... | 31.244186 | 100 | 0.534053 | 2,186 | 0.813547 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.209527 |
e79113b7e230adcf093bfd7230288a6161d84a7d | 4,663 | py | Python | pytracer/texture/texturemap/__init__.py | zjiayao/pyTracer | c2b4ef299ecbdca1c519059488f7cd2438943ee4 | [
"MIT"
] | 9 | 2017-11-20T18:17:27.000Z | 2022-01-27T23:00:31.000Z | pytracer/texture/texturemap/__init__.py | zjiayao/pyTracer | c2b4ef299ecbdca1c519059488f7cd2438943ee4 | [
"MIT"
] | 4 | 2021-06-08T19:03:51.000Z | 2022-03-11T23:18:44.000Z | pytracer/texture/texturemap/__init__.py | zjiayao/pyTracer | c2b4ef299ecbdca1c519059488f7cd2438943ee4 | [
"MIT"
] | 1 | 2017-11-20T22:48:01.000Z | 2017-11-20T22:48:01.000Z | """
__init__.py
pytracer.texture.texturemap package
Texture map definitions.
Created by Jiayao on Aug 5, 2017
Modified on Aug 14, 2017
"""
from __future__ import absolute_import
from abc import (ABCMeta, abstractmethod)
from pytracer import *
import pytracer.geometry as geo
import pytracer.transform as trans
__all... | 25.620879 | 97 | 0.633712 | 4,162 | 0.892558 | 0 | 0 | 755 | 0.161913 | 0 | 0 | 1,378 | 0.295518 |
e794ec0a4b84110bf4cfe442ef69d62eb12a32aa | 5,780 | py | Python | lib/task/worker.py | mrmansano/sublime-ycmd | fece62f0ce4e9cbf96ed8ba07f5cecb24b21427e | [
"MIT"
] | 12 | 2018-01-24T20:58:10.000Z | 2021-12-21T15:02:10.000Z | lib/task/worker.py | mrmansano/sublime-ycmd | fece62f0ce4e9cbf96ed8ba07f5cecb24b21427e | [
"MIT"
] | 4 | 2018-01-13T14:39:45.000Z | 2020-11-25T00:05:27.000Z | lib/task/worker.py | mrmansano/sublime-ycmd | fece62f0ce4e9cbf96ed8ba07f5cecb24b21427e | [
"MIT"
] | 2 | 2018-10-23T17:13:44.000Z | 2019-05-12T04:10:17.000Z | #!/usr/bin/env python3
'''
lib/task/worker.py
Task pool worker thread. Meant for internal use only.
Runs a thread to process items in a task pool. The class itself does not
inherit from `threading.Thread` directly. Instead, a helper function is exposed
for use in a thread target.
Users should not need to access this... | 28.613861 | 79 | 0.569896 | 4,462 | 0.771972 | 0 | 0 | 1,110 | 0.192042 | 0 | 0 | 2,651 | 0.458651 |
e7960cdb285d6dd5c4c71de1f2286b8e8d673adb | 547 | py | Python | skynet-agent/plugins/extension/loadavg.py | skynetera/skynet | 24a50f2a2eb95b777802934a2b66f162bf4b2d53 | [
"Apache-2.0"
] | 3 | 2016-09-12T08:54:46.000Z | 2016-09-18T07:54:10.000Z | skynet-agent/plugins/extension/loadavg.py | skynetera/skynet | 24a50f2a2eb95b777802934a2b66f162bf4b2d53 | [
"Apache-2.0"
] | null | null | null | skynet-agent/plugins/extension/loadavg.py | skynetera/skynet | 24a50f2a2eb95b777802934a2b66f162bf4b2d53 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
__author__ = 'whoami'
"""
@version: 1.0
@author: whoami
@license: Apache Licence 2.0
@contact: skutil@gmail.com
@site: http://www.itweet.cn
@software: PyCharm Community Edition
@file: loadavg.py
@time: 2015-11-28 下午1:51
"""
def monitor(frist_invoke=1):
f = open('/proc/loadavg... | 17.645161 | 36 | 0.6234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 308 | 0.558984 |
e79e7ea88c51825b1ee8f322458db326ca24c050 | 1,129 | py | Python | datasets/augmentations.py | sithu31296/re_identification | 28c2cf32c6c8c9d79330e1419a7156fe10d8ac95 | [
"MIT"
] | null | null | null | datasets/augmentations.py | sithu31296/re_identification | 28c2cf32c6c8c9d79330e1419a7156fe10d8ac95 | [
"MIT"
] | null | null | null | datasets/augmentations.py | sithu31296/re_identification | 28c2cf32c6c8c9d79330e1419a7156fe10d8ac95 | [
"MIT"
] | null | null | null | from torchvision import transforms
def get_transforms(cfg):
train_transform = transforms.Compose([
transforms.Resize(cfg['TRAIN']['IMG_SIZE']),
transforms.ColorJitter(cfg['TRAIN']['AUG']['B_P'], cfg['TRAIN']['AUG']['C_P'], cfg['TRAIN']['AUG']['S_P'], cfg['TRAIN']['AUG']['H_P']),
transforms.... | 51.318182 | 169 | 0.59876 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 285 | 0.252436 |
e79f9590300eb19ba909c0b5322d32b4049e33b7 | 2,056 | py | Python | dora/tests/test_xp.py | kingjr/dora | f70fab1620c6cad6fc094be15ab22994bd08dd01 | [
"MIT"
] | 98 | 2021-09-21T14:27:21.000Z | 2022-03-18T17:46:45.000Z | dora/tests/test_xp.py | kingjr/dora | f70fab1620c6cad6fc094be15ab22994bd08dd01 | [
"MIT"
] | 6 | 2021-09-22T13:29:48.000Z | 2022-03-14T16:45:30.000Z | dora/tests/test_xp.py | kingjr/dora | f70fab1620c6cad6fc094be15ab22994bd08dd01 | [
"MIT"
] | 5 | 2021-09-21T12:42:01.000Z | 2022-01-27T17:22:17.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
from pathlib import Path
import torch
import pytest
from ..conf import DoraConfig
from ..xp import XP
class _Cfg:
p... | 26.701299 | 76 | 0.618191 | 20 | 0.009728 | 0 | 0 | 0 | 0 | 0 | 0 | 313 | 0.152237 |
e7a08c3c2295908e12651250df01fbce4284f4fe | 3,227 | py | Python | crawler/scheduler.py | dukov/simplecrawler | eb6c44b9e3c43cab34ee4a2b39c7283136ce9352 | [
"Apache-2.0"
] | null | null | null | crawler/scheduler.py | dukov/simplecrawler | eb6c44b9e3c43cab34ee4a2b39c7283136ce9352 | [
"Apache-2.0"
] | null | null | null | crawler/scheduler.py | dukov/simplecrawler | eb6c44b9e3c43cab34ee4a2b39c7283136ce9352 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under t... | 34.329787 | 75 | 0.570499 | 2,271 | 0.70375 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.277967 |
e7a093439e75bee53c35c1b7acda09ddedee4b02 | 1,897 | py | Python | pyqtgraph_extensions/examples/demo_axis_alignment.py | draustin/pyqtgraph_extensions | 9f53756bdab8c61749c3596d40024971d77c893a | [
"MIT"
] | 10 | 2019-05-22T17:10:07.000Z | 2022-02-09T08:14:28.000Z | pyqtgraph_extensions/examples/demo_axis_alignment.py | draustin/pyqtgraph_extensions | 9f53756bdab8c61749c3596d40024971d77c893a | [
"MIT"
] | 3 | 2020-06-09T22:36:43.000Z | 2021-07-19T21:31:57.000Z | pyqtgraph_extensions/examples/demo_axis_alignment.py | draustin/pyqtgraph_extensions | 9f53756bdab8c61749c3596d40024971d77c893a | [
"MIT"
] | null | null | null | """Show how multiple AlignedPlotItems have aligned AxisItems by using their parent's graphics layout."""
import sys
from textwrap import wrap
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtGui
import pyqtgraph_extensions as pgx
if QtGui.QApplication.instance() is None:
qapp=QtGui.QApplication(sys.argv)
... | 43.113636 | 120 | 0.732736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,021 | 0.538218 |
e7a16d2263756e23b3fd10f42e7ec1fd27b2c6d0 | 377 | py | Python | generators/cfg.py | Zarux/Steam-friend-graph-V2 | 1670a7e49904812b4f86b0d2590a25d77c05c6ee | [
"MIT"
] | null | null | null | generators/cfg.py | Zarux/Steam-friend-graph-V2 | 1670a7e49904812b4f86b0d2590a25d77c05c6ee | [
"MIT"
] | 6 | 2021-03-09T09:46:03.000Z | 2022-02-26T12:28:11.000Z | generators/cfg.py | Zarux/Steam-friend-graph-V2 | 1670a7e49904812b4f86b0d2590a25d77c05c6ee | [
"MIT"
] | null | null | null | import json
class Config:
api_key = None
db_host = None
db_pw = None
db_user = None
db_table_profile = None
db_table_friends = None
db = None
def __init__(self):
with open('../cfg/cfg.json', 'r') as f:
config = json.loads(f.read())
for name, value in co... | 20.944444 | 47 | 0.559682 | 362 | 0.960212 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0.05305 |
e7a293afddd2a5b54862d63c4e761125a74a8ae5 | 73 | py | Python | Python/Reals/river_in_brazil/matrix_rotation.py | Mr-Perfection/coding_practice | 41df85292a151eef3266b01545124aeb4e831286 | [
"Unlicense"
] | null | null | null | Python/Reals/river_in_brazil/matrix_rotation.py | Mr-Perfection/coding_practice | 41df85292a151eef3266b01545124aeb4e831286 | [
"Unlicense"
] | null | null | null | Python/Reals/river_in_brazil/matrix_rotation.py | Mr-Perfection/coding_practice | 41df85292a151eef3266b01545124aeb4e831286 | [
"Unlicense"
] | null | null | null | """
Rotate a matrix 90 degrees a certain direction based on the flag
"""
| 18.25 | 64 | 0.726027 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.986301 |
e7a2a74212459c5c2d287344ef757f817b24bd0e | 58 | py | Python | vector3d/__init__.py | jayman39tx/vector3d | 6ea8a759b5102b65aea33173da1ed78cde9a67b0 | [
"MIT"
] | 2 | 2020-11-17T05:16:16.000Z | 2021-11-07T19:48:30.000Z | vector3d/__init__.py | jayman39tx/vector3d | 6ea8a759b5102b65aea33173da1ed78cde9a67b0 | [
"MIT"
] | null | null | null | vector3d/__init__.py | jayman39tx/vector3d | 6ea8a759b5102b65aea33173da1ed78cde9a67b0 | [
"MIT"
] | 3 | 2020-08-10T19:32:01.000Z | 2021-04-09T12:58:50.000Z | name = "Vector3D"
from . import vector
from . import point | 19.333333 | 20 | 0.741379 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.172414 |
e7a3a8f3dbc80823b966705e8802def2ed85da11 | 102 | py | Python | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/simple_py3.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2022-01-08T12:30:44.000Z | 2022-01-08T12:30:44.000Z | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/simple_py3.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/simple_py3.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2021-04-26T22:41:56.000Z | 2021-04-26T22:41:56.000Z | import numpy as np
array = np.array([1, 2])
# The @ operator is not in python 2
array @ array
| 14.571429 | 36 | 0.627451 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.352941 |
e7a5af266194fe6108245ee31d8f2544211c0ebb | 2,518 | py | Python | __init__.py | devsysenv/usr | 989ad012b790b6d20f8dae90f0724109cd27b761 | [
"MIT"
] | null | null | null | __init__.py | devsysenv/usr | 989ad012b790b6d20f8dae90f0724109cd27b761 | [
"MIT"
] | null | null | null | __init__.py | devsysenv/usr | 989ad012b790b6d20f8dae90f0724109cd27b761 | [
"MIT"
] | 1 | 2022-03-09T12:24:37.000Z | 2022-03-09T12:24:37.000Z | #!/usr/bin/env python
"""User package initialization module."""
import os
import sys
import dselib
def _context(varfile=None):
"""returns the DSE context object for this script."""
try:
myself = __file__
except NameError:
myself = sys.argv[0]
return dselib.DSEContext... | 32.282051 | 105 | 0.645751 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,400 | 0.555997 |
e7a69e21b01e752968007e111248ff8bffeec7d2 | 3,833 | py | Python | migrations/utils/sql_enum_migrator.py | apaniukov/workbench | 2f2653ecfd0143d2d53e33ad84379f13443fdfaa | [
"Apache-2.0"
] | 23 | 2022-03-17T12:24:09.000Z | 2022-03-31T09:13:30.000Z | migrations/utils/sql_enum_migrator.py | apaniukov/workbench | 2f2653ecfd0143d2d53e33ad84379f13443fdfaa | [
"Apache-2.0"
] | 18 | 2022-03-21T08:17:44.000Z | 2022-03-30T12:42:30.000Z | migrations/utils/sql_enum_migrator.py | apaniukov/workbench | 2f2653ecfd0143d2d53e33ad84379f13443fdfaa | [
"Apache-2.0"
] | 16 | 2022-03-17T12:24:14.000Z | 2022-03-31T12:15:12.000Z | """
OpenVINO DL Workbench
Helping Class to migrate enums in database
Copyright (c) 2020 Intel 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/... | 38.717172 | 111 | 0.66658 | 3,076 | 0.802505 | 0 | 0 | 295 | 0.076963 | 0 | 0 | 1,383 | 0.360814 |
e7a75ab051e3341f6c0083af645a52d0c765ee59 | 4,542 | py | Python | post_process/box_sphere_SMC_NSC.py | Milad-Rakhsha/Friction-Contact | 59d17b231c5dd764c741c941e5443141d43ec7e8 | [
"BSD-3-Clause"
] | null | null | null | post_process/box_sphere_SMC_NSC.py | Milad-Rakhsha/Friction-Contact | 59d17b231c5dd764c741c941e5443141d43ec7e8 | [
"BSD-3-Clause"
] | null | null | null | post_process/box_sphere_SMC_NSC.py | Milad-Rakhsha/Friction-Contact | 59d17b231c5dd764c741c941e5443141d43ec7e8 | [
"BSD-3-Clause"
] | null | null | null | import csv,os,sys
import subprocess,re
import matplotlib
#matplotlib.use('TkAgg')
matplotlib.use('Agg') # Must be before importing matplotlib.pyplot or pylab!
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from decimal import Decimal
from collections import OrderedDict
from matplotlib.ticker ... | 34.671756 | 90 | 0.528181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,056 | 0.232497 |
e7a7a001dc96d78bf26c54dfa2c539b4c6caf7e2 | 19,323 | py | Python | codes/sensitivity_analysis_withRealParameters.py | atsoukevin93/tumorgrowth | 96bda28a6ae6455c53c3b573c05746b6d4f2e802 | [
"CC0-1.0"
] | null | null | null | codes/sensitivity_analysis_withRealParameters.py | atsoukevin93/tumorgrowth | 96bda28a6ae6455c53c3b573c05746b6d4f2e802 | [
"CC0-1.0"
] | null | null | null | codes/sensitivity_analysis_withRealParameters.py | atsoukevin93/tumorgrowth | 96bda28a6ae6455c53c3b573c05746b6d4f2e802 | [
"CC0-1.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from fipy import *
from numpy import *
import scipy.sparse as sp
import scipy.sparse.linalg as la
import parameterFunctions.immuneResponse as delt
import parameterFunctions.sigmaF as sigmaF
import inspect
from collections import OrderedDict
import pygpc
from pygpc.sobol_s... | 40.006211 | 123 | 0.549915 | 8,994 | 0.465456 | 156 | 0.008073 | 0 | 0 | 0 | 0 | 7,251 | 0.375252 |
e7a8eb29f59a7169a8670d3bd2d5361afff30ad8 | 1,509 | py | Python | setup.py | StreetHawkInc/behave-http | 236f62faaa7448c55d13767c21bfd2711b11456c | [
"BSD-2-Clause"
] | null | null | null | setup.py | StreetHawkInc/behave-http | 236f62faaa7448c55d13767c21bfd2711b11456c | [
"BSD-2-Clause"
] | null | null | null | setup.py | StreetHawkInc/behave-http | 236f62faaa7448c55d13767c21bfd2711b11456c | [
"BSD-2-Clause"
] | null | null | null | import os
from setuptools import setup
with open(os.path.join(os.path.dirname(__file__),
'README.rst')) as readme_file:
long_description = readme_file.read()
setup_requires = ['wheel']
install_requires = [
'behave>=1.2.4',
'Jinja2>=2.5',
'jpath>=1.1',
'ensure>=0.1.6',
... | 30.18 | 71 | 0.609013 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 837 | 0.554672 |
e7a94a2ff34c1076fb500ca11f0f92ab4291d4b0 | 2,314 | py | Python | src/day11.py | birdman74/advent-of-code-2021 | 190cd4110ef3553258a26c8521bdf372c006a77c | [
"Apache-2.0"
] | null | null | null | src/day11.py | birdman74/advent-of-code-2021 | 190cd4110ef3553258a26c8521bdf372c006a77c | [
"Apache-2.0"
] | null | null | null | src/day11.py | birdman74/advent-of-code-2021 | 190cd4110ef3553258a26c8521bdf372c006a77c | [
"Apache-2.0"
] | null | null | null | import os
from typing import List
MODULE_DIR = os.path.dirname(os.path.realpath(__file__))
PROJECT_DIR = os.path.join(MODULE_DIR, "..")
INPUT_SOURCE_DIR = os.path.join(PROJECT_DIR, "input")
def get_data_lines(input_file_name):
input_file = os.path.join(INPUT_SOURCE_DIR, input_file_name)
print(f"Input file: {... | 27.223529 | 98 | 0.639585 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 322 | 0.139153 |
e7a9abe833ad06b98a4c2551f4c70ddffb9249c0 | 30 | py | Python | a.py | Ankitgarg453/resume_builder | 8ccffb4191d270685da446f0b2808409f282cecd | [
"MIT"
] | null | null | null | a.py | Ankitgarg453/resume_builder | 8ccffb4191d270685da446f0b2808409f282cecd | [
"MIT"
] | null | null | null | a.py | Ankitgarg453/resume_builder | 8ccffb4191d270685da446f0b2808409f282cecd | [
"MIT"
] | null | null | null | print "ankit"
print "Saimon"
| 7.5 | 14 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.5 |
e7a9c1267f6e65a3675addd7271b9a0a997345e4 | 3,430 | py | Python | src/models/adversarial_validation.py | solery-git/Yandex_MIPT_user_identification | 6861c14ebeeaef963b1d180080b87637a9578dd5 | [
"FTL"
] | null | null | null | src/models/adversarial_validation.py | solery-git/Yandex_MIPT_user_identification | 6861c14ebeeaef963b1d180080b87637a9578dd5 | [
"FTL"
] | null | null | null | src/models/adversarial_validation.py | solery-git/Yandex_MIPT_user_identification | 6861c14ebeeaef963b1d180080b87637a9578dd5 | [
"FTL"
] | null | null | null | # -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')
import pickle
import yaml
from pathlib import Path
import numpy as np
import pandas as pd
from scipy.sparse import csr_matrix, hstack as sparse_hstack, vstack as sparse_vstack
from sklearn.linear_model import LogisticRegression
from sklearn.metri... | 37.692308 | 151 | 0.732653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 409 | 0.119242 |
e7aa8cac8e96224781686bd1388c518adf6e852b | 3,803 | py | Python | U3/src/e6.py | craciunescu/algo | 81e91fa72d8896b459900510ee270d25de15f6fd | [
"MIT"
] | null | null | null | U3/src/e6.py | craciunescu/algo | 81e91fa72d8896b459900510ee270d25de15f6fd | [
"MIT"
] | null | null | null | U3/src/e6.py | craciunescu/algo | 81e91fa72d8896b459900510ee270d25de15f6fd | [
"MIT"
] | null | null | null | """
@author: David E. Craciunescu
@date: 2020/04/30 (yyyy/mm/dd)
6. After passing through the Tile Room and stealing the Craddle of Life,
Indiana Croft faces a new challenge before leaving the Cursed Temple! The
Temple itself is located on a bridge under which there is a deep darkness.
Fortu... | 43.215909 | 80 | 0.720221 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,163 | 0.831056 |
e7ab93c674e1c7b0c7b235ef1ec15c5f79897159 | 184 | py | Python | ptb/ledger/views.py | vkpdeveloper/ShaktiDeep-Traders-Bill-Management-Project | 566a64268fabf256e80bee680d1fbde2c6c0787d | [
"MIT"
] | 2 | 2019-11-26T11:57:56.000Z | 2020-06-17T05:16:47.000Z | ptb/ledger/views.py | vkpdeveloper/ShaktiDeep-Traders-Bill-Management-Project | 566a64268fabf256e80bee680d1fbde2c6c0787d | [
"MIT"
] | null | null | null | ptb/ledger/views.py | vkpdeveloper/ShaktiDeep-Traders-Bill-Management-Project | 566a64268fabf256e80bee680d1fbde2c6c0787d | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.shortcuts import render
from django.http import HttpResponse
def index(request):
return render(request, 'ledger/index.html') | 26.285714 | 47 | 0.777174 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.103261 |
e7ad41b8d693a843781c9b1f0c9248a6d00b3029 | 492 | py | Python | olamundo.py/exercicios_refeitos/ex024.py | gabrielviticov/exercicios-python | 4068cb0029513f8ab8bd12fa3a9055f37b4040d4 | [
"MIT"
] | null | null | null | olamundo.py/exercicios_refeitos/ex024.py | gabrielviticov/exercicios-python | 4068cb0029513f8ab8bd12fa3a9055f37b4040d4 | [
"MIT"
] | null | null | null | olamundo.py/exercicios_refeitos/ex024.py | gabrielviticov/exercicios-python | 4068cb0029513f8ab8bd12fa3a9055f37b4040d4 | [
"MIT"
] | null | null | null | '''
ex024: Crie um programa que leia o nome de uma cidade e diga se ela começa ou não com o nome ‘SANTO’
'''
from colorise import set_color, reset_color
cores = {
'limpa': '\033[m',
'white': '\033[1;97m',
}
set_color(fg='cyan')
nome_cidade = str(input('Informe o nome de uma cidade: ')).strip().title()
separad... | 28.941176 | 100 | 0.658537 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.511022 |
e7ae68bcd377bc20a3f17e6c42c1085c7778f122 | 3,154 | py | Python | preprocessing/preprocessTrainingfiles_generateFasttextinput.py | gerbentimmerman/community-based-abuse-detection | 8ac03ccf1e594c2588b243e45ac535a0977bbcb0 | [
"MIT"
] | null | null | null | preprocessing/preprocessTrainingfiles_generateFasttextinput.py | gerbentimmerman/community-based-abuse-detection | 8ac03ccf1e594c2588b243e45ac535a0977bbcb0 | [
"MIT"
] | null | null | null | preprocessing/preprocessTrainingfiles_generateFasttextinput.py | gerbentimmerman/community-based-abuse-detection | 8ac03ccf1e594c2588b243e45ac535a0977bbcb0 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import pandas as pd
import csv
import re
import emoji
import redditcleaner
from nltk.tokenize import TweetTokenizer
def filterText(text, tokenizer):
# Filter URLs
text = re.sub(r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', "<URL>", text)
# Filter numbers
... | 27.666667 | 112 | 0.657895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,139 | 0.361129 |
e7b099e6d68f75cea2e020cf38d8d5668c1b2d20 | 644 | py | Python | chunked/models.py | grschafer/django-meetup-fileupload | e89e158e3d26a5ce41571f8d164e3f7aa0f1f079 | [
"MIT"
] | null | null | null | chunked/models.py | grschafer/django-meetup-fileupload | e89e158e3d26a5ce41571f8d164e3f7aa0f1f079 | [
"MIT"
] | null | null | null | chunked/models.py | grschafer/django-meetup-fileupload | e89e158e3d26a5ce41571f8d164e3f7aa0f1f079 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.db import models
# Create your models here.
class Upload(models.Model):
file = models.FileField(null=False, blank=False)
num_chunks = models.PositiveIntegerField(null=False, blank=False)
filesize = models.PositiveIntegerField(null=False, blank=False)
chunk_size = mo... | 37.882353 | 86 | 0.745342 | 559 | 0.868012 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.125776 |
e7b0d46435cdec670279bd998320fd1810c2643c | 918 | py | Python | fp_demo/functional3.py | AegirAexx/python-sandbox | fa1f584f615c6ed04f80b9dd92d2b241248c9ebe | [
"Unlicense"
] | null | null | null | fp_demo/functional3.py | AegirAexx/python-sandbox | fa1f584f615c6ed04f80b9dd92d2b241248c9ebe | [
"Unlicense"
] | null | null | null | fp_demo/functional3.py | AegirAexx/python-sandbox | fa1f584f615c6ed04f80b9dd92d2b241248c9ebe | [
"Unlicense"
] | null | null | null | """" Playing around with MAP higher order function and lambdas. """
from datetime import datetime
from pprint import pprint
from scientist import scientists
def age(yob):
""" Accepts year of birth and returns the persons age. """
return datetime.now().year - yob
NAMES_AND_AGES = tuple(
map(lambda x: {'n... | 24.810811 | 79 | 0.652505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 0.430283 |
e7b19bb8fade9b6e53704f91808df520b32c215d | 1,217 | py | Python | src/mqtt_bridge/app.py | dftossem/mqtt_ros_aws_iot | 0e0ae8d30d25753c5a12d936d07ae94730f3eccd | [
"MIT"
] | 5 | 2021-07-23T09:52:40.000Z | 2021-09-22T21:11:53.000Z | src/mqtt_bridge/app.py | dftossem/mqtt_ros_aws_iot | 0e0ae8d30d25753c5a12d936d07ae94730f3eccd | [
"MIT"
] | null | null | null | src/mqtt_bridge/app.py | dftossem/mqtt_ros_aws_iot | 0e0ae8d30d25753c5a12d936d07ae94730f3eccd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import inject
import rospy
import time
import json
from AWSIoTPythonSDK.MQTTLib import AWSIoTMQTTClient
from .bridge import create_bridge
from .util import lookup_object
def mqtt_bridge_node():
# init node
rospy.init_node('mqtt_bridge_node')
... | 24.836735 | 65 | 0.72309 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 263 | 0.216105 |
e7b35b10fd121d0b29cd1d39fc4c75e4f568a1f4 | 25 | py | Python | chapter2_ws/devel/lib/python3/dist-packages/mastering_ros_demo_pkg/srv/__init__.py | Rajat-Arora/ros_packt_book | a715485ea6e36d298bc6f6f306af0595d89e1174 | [
"MIT"
] | null | null | null | chapter2_ws/devel/lib/python3/dist-packages/mastering_ros_demo_pkg/srv/__init__.py | Rajat-Arora/ros_packt_book | a715485ea6e36d298bc6f6f306af0595d89e1174 | [
"MIT"
] | null | null | null | chapter2_ws/devel/lib/python3/dist-packages/mastering_ros_demo_pkg/srv/__init__.py | Rajat-Arora/ros_packt_book | a715485ea6e36d298bc6f6f306af0595d89e1174 | [
"MIT"
] | null | null | null | from ._demo_srv import *
| 12.5 | 24 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e7b5ecbc66cbd464a70b67852e8b57e73a22b34a | 422 | py | Python | system-test/tweet/test_tweet.py | jaimebuelta/django-docker-template | f850626a3bc6ac7ccf791ca56b859a7b1d3d87a1 | [
"MIT"
] | 94 | 2017-07-30T21:33:46.000Z | 2022-01-10T13:41:03.000Z | system-test/tweet/test_tweet.py | jaimebuelta/django-docker-template | f850626a3bc6ac7ccf791ca56b859a7b1d3d87a1 | [
"MIT"
] | 1 | 2019-02-01T13:45:42.000Z | 2019-02-01T13:45:42.000Z | system-test/tweet/test_tweet.py | jaimebuelta/django-docker-template | f850626a3bc6ac7ccf791ca56b859a7b1d3d87a1 | [
"MIT"
] | 19 | 2017-07-31T12:03:12.000Z | 2021-11-27T05:43:04.000Z | import os
import requests
HOSTPORT = os.environ.get('SYSTEM_TEST_HOSTPORT')
TWEET_URL = HOSTPORT + 'tweet/'
def test_tweets():
result = requests.get(TWEET_URL)
assert result.status_code == 200
tweets = result.json()
assert len(tweets) == 2
for tweet in tweets:
# Get all the linked urls
... | 23.444444 | 49 | 0.651659 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.14455 |
e7b5f75431381733711c32b614a4943fecd06b68 | 348 | py | Python | src/PrintSubscriber.py | mansandersson/modbus-monitor | 092c7f05c54a912a60d69f1461aeb54105d7b660 | [
"MIT"
] | null | null | null | src/PrintSubscriber.py | mansandersson/modbus-monitor | 092c7f05c54a912a60d69f1461aeb54105d7b660 | [
"MIT"
] | null | null | null | src/PrintSubscriber.py | mansandersson/modbus-monitor | 092c7f05c54a912a60d69f1461aeb54105d7b660 | [
"MIT"
] | null | null | null | import Constants
from pubsub import pub
class PrintSubscriber:
def __init__(self, verbose):
pub.subscribe(self.valueChanged, Constants.VALUECHANGED_TOPIC)
if verbose:
print('Print subscriber inited ...')
def valueChanged(self, entity):
print(entity.dis + ' = ' + str(entity... | 29 | 73 | 0.678161 | 306 | 0.87931 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.097701 |
e7bc9e4e1a533046092b0e42330e482c0a72d04c | 3,990 | py | Python | PressCurve.py | RichBu/PressCurve | 4c89f04489abae5d3c87be2663133b8c974457bf | [
"MIT"
] | null | null | null | PressCurve.py | RichBu/PressCurve | 4c89f04489abae5d3c87be2663133b8c974457bf | [
"MIT"
] | null | null | null | PressCurve.py | RichBu/PressCurve | 4c89f04489abae5d3c87be2663133b8c974457bf | [
"MIT"
] | null | null | null | """
This program uses Digital Oscilliscope data read in from a PicScope.
The PicoScope outputs the data as a CSV and this Python app reads it in.
Then, we plot on an X-Y chart
By Rich Budek 02/12/2021 in Python 3.8
"""
import pandas as pd
import numpy as np
import jinja2
import math
import re
from pandas import DataF... | 31.171875 | 121 | 0.69599 | 317 | 0.079449 | 0 | 0 | 0 | 0 | 0 | 0 | 1,726 | 0.432581 |
e7bca805299e41e9d298d69596d25e7ce1959ef5 | 580 | py | Python | src/model/bow.py | slein89/BOW_transferlearning | 785fe5e48da0dc0e9170e526f221daee154bebec | [
"MIT"
] | 1 | 2019-03-05T11:23:26.000Z | 2019-03-05T11:23:26.000Z | src/model/bow.py | slein89/BOW_transferlearning | 785fe5e48da0dc0e9170e526f221daee154bebec | [
"MIT"
] | null | null | null | src/model/bow.py | slein89/BOW_transferlearning | 785fe5e48da0dc0e9170e526f221daee154bebec | [
"MIT"
] | null | null | null | from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.ensemble import GradientBoostingClassifier
def bow_pipeline(X_train, y_train):
pipeline = Pipeline([
('countvect', CountVectorizer(analyzer='word',
... | 38.666667 | 77 | 0.624138 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.060345 |
e7bd68b12a5e8867bbc35ac7cd372730ec172944 | 3,967 | py | Python | train_offline.py | denisyarats/exorl | a3fb07a420939280aa0918150923dcca7e82bf2a | [
"MIT"
] | 23 | 2022-02-08T20:28:47.000Z | 2022-03-31T11:00:25.000Z | train_offline.py | denisyarats/exorl | a3fb07a420939280aa0918150923dcca7e82bf2a | [
"MIT"
] | 1 | 2022-03-10T04:45:19.000Z | 2022-03-10T04:45:19.000Z | train_offline.py | denisyarats/exorl | a3fb07a420939280aa0918150923dcca7e82bf2a | [
"MIT"
] | null | null | null | import warnings
warnings.filterwarnings('ignore', category=DeprecationWarning)
import os
os.environ['MKL_SERVICE_FORCE_INTEL'] = '1'
os.environ['MUJOCO_GL'] = 'egl'
from pathlib import Path
import hydra
import numpy as np
import torch
from dm_env import specs
import dmc
import utils
from logger import Logger
from... | 30.992188 | 79 | 0.637509 | 0 | 0 | 0 | 0 | 2,298 | 0.579279 | 0 | 0 | 413 | 0.104109 |
e7bf132349c97d22d52cdb3650636fe8ed882551 | 1,606 | py | Python | December-15/python3_ASHIK11ab.py | ASHIK11ab/A-December-of-Algorithms-2021 | 2eeb1192c69b67b1c64033c1df155a705d1219c4 | [
"MIT"
] | null | null | null | December-15/python3_ASHIK11ab.py | ASHIK11ab/A-December-of-Algorithms-2021 | 2eeb1192c69b67b1c64033c1df155a705d1219c4 | [
"MIT"
] | null | null | null | December-15/python3_ASHIK11ab.py | ASHIK11ab/A-December-of-Algorithms-2021 | 2eeb1192c69b67b1c64033c1df155a705d1219c4 | [
"MIT"
] | null | null | null | import ast
class Solution:
def __init__(self, orders, deadline):
self.orders = orders
self.deadline = deadline
def solve(self):
# `y` -> no of bracelets to be made in a day to deliver all orders
# on time. The starting value of `y` will be >= maximum element in
# the orders list since, no or... | 27.220339 | 77 | 0.620174 | 572 | 0.356164 | 0 | 0 | 0 | 0 | 0 | 0 | 559 | 0.34807 |
e7bf5114270c4c1ba3fa4db47d240b4427db5d56 | 31 | py | Python | is_ipfs/__init__.py | Barabazs/py-is_ipfs | c8ac622879b2223e298d9cc4a59ae7da89eb0479 | [
"MIT"
] | 1 | 2022-03-09T14:23:44.000Z | 2022-03-09T14:23:44.000Z | is_ipfs/__init__.py | Barabazs/py-is_ipfs | c8ac622879b2223e298d9cc4a59ae7da89eb0479 | [
"MIT"
] | null | null | null | is_ipfs/__init__.py | Barabazs/py-is_ipfs | c8ac622879b2223e298d9cc4a59ae7da89eb0479 | [
"MIT"
] | null | null | null | from .is_ipfs import Validator
| 15.5 | 30 | 0.83871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e7c296cbcbe2a40314c5ebd466c9648b4f998c96 | 3,993 | py | Python | Assignment_3/marbles.py | cVoltic/MIDS | 417b7d2e6e7eff20292c5429cbe5245813e9a1d9 | [
"MIT"
] | null | null | null | Assignment_3/marbles.py | cVoltic/MIDS | 417b7d2e6e7eff20292c5429cbe5245813e9a1d9 | [
"MIT"
] | null | null | null | Assignment_3/marbles.py | cVoltic/MIDS | 417b7d2e6e7eff20292c5429cbe5245813e9a1d9 | [
"MIT"
] | null | null | null | # A Marbles Game
# A Marbles Game - Problem
# Cuong Trinh
import sys
class MarblesBoard():
def __init__(self, board):
self.board = list(board)
def __str__(self):
return f"{ ' '.join(map(str, self.board)) }"
def __repr__(self):
return f"MarblesBoard(({ ', '.join(map(str, self.b... | 35.651786 | 169 | 0.569747 | 2,174 | 0.544453 | 0 | 0 | 0 | 0 | 0 | 0 | 2,213 | 0.55422 |
e7c5214a6861e2cb908a3d5d48328445859dbfbd | 4,237 | py | Python | windows.py | dcxSt/pfb-mod | 1615790d0782f3becbba72a3e40c5b79ca4dc28b | [
"MIT"
] | 1 | 2021-11-09T13:02:29.000Z | 2021-11-09T13:02:29.000Z | windows.py | dcxSt/pfb-mod | 1615790d0782f3becbba72a3e40c5b79ca4dc28b | [
"MIT"
] | null | null | null | windows.py | dcxSt/pfb-mod | 1615790d0782f3becbba72a3e40c5b79ca4dc28b | [
"MIT"
] | null | null | null | #!/usr/bin/python3.8
"""
Created on 2021-06-07
Author : Stephen Fay
"""
import numpy as np
from constants import *
import helper as h
#%% spectrum transformers (spectrum ~ ft_block)
f3 = lambda x:x*(1/(np.abs(x)+0.1)+0.3)
f4 = lambda x:x*(1/(np.abs(x)+0.000001))
f5 = lambda x:x*(1/(np.abs(x)+0.01))
f6 = lambda x:x*... | 30.482014 | 123 | 0.671702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,308 | 0.308709 |
e7c57019e7800b7bf091d492331fc64fbacfb1a2 | 291 | py | Python | package/PartSegCore/channel_class.py | neuromusic/PartSeg | a4edff1b9fbe55eb7f5e1fc8b5b3f8e730b35caf | [
"BSD-3-Clause"
] | 15 | 2020-03-21T03:27:56.000Z | 2022-03-21T07:46:39.000Z | package/PartSegCore/channel_class.py | neuromusic/PartSeg | a4edff1b9fbe55eb7f5e1fc8b5b3f8e730b35caf | [
"BSD-3-Clause"
] | 479 | 2019-10-27T22:57:22.000Z | 2022-03-30T12:48:14.000Z | package/PartSegCore/channel_class.py | neuromusic/PartSeg | a4edff1b9fbe55eb7f5e1fc8b5b3f8e730b35caf | [
"BSD-3-Clause"
] | 5 | 2020-02-05T14:25:02.000Z | 2021-12-21T03:44:52.000Z | class Channel(int):
"""
This class is introduced to distinguish numerical algorithm parameter from choose chanel.
In autogenerated interface field with this type limits input values to number of current image channels
"""
def __str__(self):
return str(self + 1)
| 32.333333 | 107 | 0.714777 | 290 | 0.996564 | 0 | 0 | 0 | 0 | 0 | 0 | 213 | 0.731959 |
e7c7b17b656904abd64163333b17badb2111d9ac | 986 | py | Python | Train/test.py | fanchy888/digit_ANN | 5faf0e574321ff5e3c6b8ec82992d20177be15a0 | [
"MIT"
] | null | null | null | Train/test.py | fanchy888/digit_ANN | 5faf0e574321ff5e3c6b8ec82992d20177be15a0 | [
"MIT"
] | null | null | null | Train/test.py | fanchy888/digit_ANN | 5faf0e574321ff5e3c6b8ec82992d20177be15a0 | [
"MIT"
] | null | null | null | #-*- coding:utf-8 -*-
from PIL import Image
import numpy as np
from scipy.io import loadmat
from scipy.io import savemat
def sigmoid(z):
g=1/(1+np.exp(-z))
return g
img=Image.open('test.png')
img=img.convert('L')
grey=img.getdata()
X=np.asarray(grey)
X=np.mat(X.ravel())
theta=loadmat('theta')
theta1=theta['theta1']... | 21.434783 | 41 | 0.679513 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.085193 |
e7c8356eb7291024a35ca2cbb8863750d4cda4f4 | 3,465 | py | Python | dateien_lesen.py | hansalemaos/Everything2TXT | 33dc7f15d9003441d7e38a8d872c3b7f6b3fa00b | [
"MIT"
] | 1 | 2022-02-27T19:07:08.000Z | 2022-02-27T19:07:08.000Z | dateien_lesen.py | hansalemaos/Everything2TXT | 33dc7f15d9003441d7e38a8d872c3b7f6b3fa00b | [
"MIT"
] | null | null | null | dateien_lesen.py | hansalemaos/Everything2TXT | 33dc7f15d9003441d7e38a8d872c3b7f6b3fa00b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import docx2txt
from pdfminer.high_level import extract_text
from pptx import Presentation
from bs4 import BeautifulSoup
from epubextract import epub2txt
from xlsx2html import xlsx2html
import tempfile
from tkinter import Tk
from tkinter.filedialog import askopenfilename
import re
def create_t... | 27.283465 | 73 | 0.621356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 253 | 0.073016 |
e7c92ca14bcce898f8943bb76fd1a82f7d605a8a | 307 | py | Python | tests/test_source.py | Kadas36/NEWS-App | ee0504ed04f5e3d8c7e06ea478d163e8209ac425 | [
"MIT"
] | null | null | null | tests/test_source.py | Kadas36/NEWS-App | ee0504ed04f5e3d8c7e06ea478d163e8209ac425 | [
"MIT"
] | null | null | null | tests/test_source.py | Kadas36/NEWS-App | ee0504ed04f5e3d8c7e06ea478d163e8209ac425 | [
"MIT"
] | null | null | null | import unittest
from app.models import Source
class MovieTest(unittest.TestCase):
def setUp(self):
self.new_source = Source('cnn','cnn','Elections set for 2020','https://edition.cnn.com/','general','us')
def test_instance(self):
self.assertTrue(isinstance(self.new_source,Source)) | 30.7 | 112 | 0.70684 | 260 | 0.846906 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.237785 |
e7c9f67c367034f596fa0db99d380d2232e79275 | 195 | py | Python | steppygraph/test/utils_test.py | mfrawley/steppy-graph | 2094c95d2cfe3145ecc42311d799dad8ba2f007b | [
"MIT"
] | 4 | 2019-02-12T21:56:03.000Z | 2020-10-19T07:14:44.000Z | steppygraph/test/utils_test.py | mfrawley/steppy-graph | 2094c95d2cfe3145ecc42311d799dad8ba2f007b | [
"MIT"
] | null | null | null | steppygraph/test/utils_test.py | mfrawley/steppy-graph | 2094c95d2cfe3145ecc42311d799dad8ba2f007b | [
"MIT"
] | null | null | null | from steppygraph.utils import filter_props
d = {
"_foo": True,
"foo": 1
}
def test_filter_keys():
o = filter_props(d)
assert o['foo'] == True
assert '_foo' not in o.keys()
| 15 | 42 | 0.605128 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0.112821 |
e7cc0e525cff12bc2b3486753006977533ce881a | 9,346 | py | Python | train.py | WKUAILAB/Risk_Level_Prediction | 7074953cf2c19cf2f2ad5c1cad5df0ad30637418 | [
"MIT"
] | null | null | null | train.py | WKUAILAB/Risk_Level_Prediction | 7074953cf2c19cf2f2ad5c1cad5df0ad30637418 | [
"MIT"
] | null | null | null | train.py | WKUAILAB/Risk_Level_Prediction | 7074953cf2c19cf2f2ad5c1cad5df0ad30637418 | [
"MIT"
] | 1 | 2022-02-28T06:29:08.000Z | 2022-02-28T06:29:08.000Z | import numpy as np
import pandas as pd
import os
from joblib import dump
from sklearn.model_selection import train_test_split, RandomizedSearchCV, GridSearchCV
from sklearn.metrics import classification_report, recall_score, precision_recall_fscore_support
from sklearn.ensemble import GradientBoostingClassifier
from ... | 43.469767 | 492 | 0.675904 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,026 | 0.213129 |
e7cd2f7b970a9548bf93ebb125e5939b4572b405 | 2,543 | py | Python | mptb/models/commons.py | to-aoki/my-pytorch-bert | 8e412ae6331f5f19fee55b430be389de2f5c49a6 | [
"Apache-2.0"
] | 21 | 2019-03-04T03:43:19.000Z | 2022-02-14T15:50:41.000Z | mptb/models/commons.py | to-aoki/my-pytorch-bert | 8e412ae6331f5f19fee55b430be389de2f5c49a6 | [
"Apache-2.0"
] | 1 | 2019-10-07T17:49:21.000Z | 2019-12-14T11:50:10.000Z | mptb/models/commons.py | to-aoki/my-pytorch-bert | 8e412ae6331f5f19fee55b430be389de2f5c49a6 | [
"Apache-2.0"
] | 5 | 2019-07-19T07:04:55.000Z | 2020-07-01T13:24:14.000Z | # This file is based on
# https://github.com/huggingface/pytorch-pretrained-BERT/blob/master/pytorch_pretrained_bert/modeling.py.
# changing class names and variables names for my understanding of BERT.
# and Modified a bit to visualize with bertviz.
#
# Copyright 2018 The Google AI Language Team Authors and The Huggin... | 40.365079 | 105 | 0.701534 | 1,331 | 0.523398 | 0 | 0 | 0 | 0 | 0 | 0 | 1,094 | 0.430201 |
e7cd8e5b68df4a3597e07017cc8ad1f64fc2dc4a | 1,388 | py | Python | simple_server.py | mlacayoemery/owslib-pywps-echo | 9b19936989d8261986f6184547206386afb8c1fe | [
"Unlicense"
] | null | null | null | simple_server.py | mlacayoemery/owslib-pywps-echo | 9b19936989d8261986f6184547206386afb8c1fe | [
"Unlicense"
] | null | null | null | simple_server.py | mlacayoemery/owslib-pywps-echo | 9b19936989d8261986f6184547206386afb8c1fe | [
"Unlicense"
] | null | null | null | import flask
import pywps
class EchoVector(pywps.Process):
def __init__(self):
inputs = [pywps.ComplexInput('message',
'Input message',
supported_formats=[pywps.Format('application/gml+xml'),
... | 30.844444 | 96 | 0.53098 | 1,123 | 0.809078 | 0 | 0 | 73 | 0.052594 | 0 | 0 | 216 | 0.15562 |
e7cdb089436833732bfa37700ee373f489662c99 | 889 | py | Python | tests/test_jaccard_score.py | jo-mueller/biapol-utilities | 773b60a64fa12641ba869addd7b4be9a4ab87ecd | [
"BSD-3-Clause"
] | 4 | 2021-12-17T19:37:11.000Z | 2022-03-29T16:39:31.000Z | tests/test_jaccard_score.py | jo-mueller/biapol-utilities | 773b60a64fa12641ba869addd7b4be9a4ab87ecd | [
"BSD-3-Clause"
] | 34 | 2021-11-04T14:10:24.000Z | 2022-01-31T13:23:44.000Z | tests/test_jaccard_score.py | jo-mueller/biapol-utilities | 773b60a64fa12641ba869addd7b4be9a4ab87ecd | [
"BSD-3-Clause"
] | 2 | 2021-12-14T13:53:16.000Z | 2021-12-15T12:30:51.000Z | # -*- coding: utf-8 -*-
from biapol_utilities import label
import numpy as np
def test_compare_labels():
a = np.asarray([5, 0, 0, 1, 1, 1, 2, 2])
b = np.asarray([5, 0, 0, 1, 1, 1, 2, 3])
result = label.compare_labels(a, b)
assert('jaccard_score' in result.columns)
assert('dice_score' in result... | 21.166667 | 72 | 0.598425 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0.067492 |