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eb8f42714ac932cdfc292aeae7792fbd941d3a70 | 1,316 | py | Python | fountain/linguistics.py | oaao/fountain-of-knuth | 626be5ef98370e59c273a93a10614a4438e1fb22 | [
"MIT"
] | null | null | null | fountain/linguistics.py | oaao/fountain-of-knuth | 626be5ef98370e59c273a93a10614a4438e1fb22 | [
"MIT"
] | null | null | null | fountain/linguistics.py | oaao/fountain-of-knuth | 626be5ef98370e59c273a93a10614a4438e1fb22 | [
"MIT"
] | null | null | null | """Linguistic data for statistical pre-processing.
Frequency statistics, as seen in data/, are provided by:
a) Mark Mayzner, 1965:
------------------------------------------------------------------------------
METHODOLOGY: Starting at a random place in a given newspapers/magazines/book,
record three- to seven-letter... | 38.705882 | 89 | 0.592705 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,259 | 0.956687 |
eb9292b5b15148056f496da1f3e38d544c9ca3dc | 846 | py | Python | Active-Contour-Loss.py | xuuuuuuchen/Active-Contour-Loss | f76737b92a2bea558f5a960bb1ef00bbe09b8457 | [
"MIT"
] | 189 | 2019-06-11T02:13:53.000Z | 2022-03-30T15:41:47.000Z | Active-Contour-Loss.py | xuuuuuuchen/Active-Contour-Loss | f76737b92a2bea558f5a960bb1ef00bbe09b8457 | [
"MIT"
] | 15 | 2019-06-29T19:22:07.000Z | 2021-07-19T03:26:51.000Z | Active-Contour-Loss.py | xuuuuuuchen/Active-Contour-Loss | f76737b92a2bea558f5a960bb1ef00bbe09b8457 | [
"MIT"
] | 28 | 2019-07-15T12:52:52.000Z | 2022-03-07T16:50:02.000Z |
from keras import backend as K
import numpy as np
def Active_Contour_Loss(y_true, y_pred):
"""
lenth term
"""
x = y_pred[:,:,1:,:] - y_pred[:,:,:-1,:] # horizontal and vertical directions
y = y_pred[:,:,:,1:] - y_pred[:,:,:,:-1]
delta_x = x[:,:,1:,:-2]**2
delta_y = y[:,:,:-2,1:]**2
delta_u = K.abs(delta... | 24.171429 | 105 | 0.574468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 215 | 0.254137 |
eb9398224cfe1d36acebb90ab93ee6b57c3b5626 | 7,584 | py | Python | edbo/objective.py | v13inc/edbo | dee72777a07594f7940bd03f0049a7d9be7c2266 | [
"MIT"
] | 70 | 2020-12-11T03:13:09.000Z | 2022-03-16T21:17:26.000Z | edbo/objective.py | v13inc/edbo | dee72777a07594f7940bd03f0049a7d9be7c2266 | [
"MIT"
] | 8 | 2021-01-15T14:24:00.000Z | 2022-01-16T14:43:52.000Z | edbo/objective.py | v13inc/edbo | dee72777a07594f7940bd03f0049a7d9be7c2266 | [
"MIT"
] | 18 | 2020-11-24T00:37:49.000Z | 2022-03-13T15:52:51.000Z | # -*- coding: utf-8 -*-
# Imports
import pandas as pd
from .pd_utils import load_csv_or_excel
from .pd_utils import load_experiment_results
from .pd_utils import to_torch
from .math_utils import standard
# Objective function class
class objective:
"""Objective funciton data container and operations.
N... | 33.706667 | 86 | 0.548655 | 7,330 | 0.966508 | 0 | 0 | 0 | 0 | 0 | 0 | 2,720 | 0.35865 |
eb94674e627c9637e3631827dccad31e43dbeafa | 1,983 | py | Python | api/project/modules/geoprocessing/utils.py | wilsoncwc/mapbox-osmnx | 38031e31ad3b97e941a773c99b1f9b544ef93fae | [
"MIT"
] | null | null | null | api/project/modules/geoprocessing/utils.py | wilsoncwc/mapbox-osmnx | 38031e31ad3b97e941a773c99b1f9b544ef93fae | [
"MIT"
] | null | null | null | api/project/modules/geoprocessing/utils.py | wilsoncwc/mapbox-osmnx | 38031e31ad3b97e941a773c99b1f9b544ef93fae | [
"MIT"
] | null | null | null | import osmnx as ox
import networkx as nx
def gdf_to_nx(gdf_network):
# generate graph from GeoDataFrame of LineStrings
net = nx.Graph()
net.graph['crs'] = gdf_network.crs
fields = list(gdf_network.columns)
for _, row in gdf_network.iterrows():
first = row.geometry.coords[0]
last = ... | 34.789474 | 95 | 0.646999 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 476 | 0.24004 |
eb951abd2dd3908e69458a1b26cb28c1b3944745 | 664 | py | Python | p002/solution.py | jcbrockschmidt/project_euler | 49576d24f485eea1a21c8111e006a5c9ba1701d7 | [
"MIT"
] | null | null | null | p002/solution.py | jcbrockschmidt/project_euler | 49576d24f485eea1a21c8111e006a5c9ba1701d7 | [
"MIT"
] | null | null | null | p002/solution.py | jcbrockschmidt/project_euler | 49576d24f485eea1a21c8111e006a5c9ba1701d7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from time import time
def fib_sum(limit):
prev2 = 1
prev1 = 2
fib_sum = 0
while prev2 < limit:
# There is probably a more clever solution that skips the calculation
# of every 1st and 3rd element.
# For now, we will just cherry-pick the even values.
... | 25.538462 | 77 | 0.593373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 225 | 0.338855 |
eb9525194e5e12addc0e82651317e86bd9db3fd2 | 15,221 | py | Python | source/Gui.py | Faraphel/MKWF-Install | 8a86cae630da6702bf65b15340dc2db3e0abc182 | [
"Apache-2.0"
] | 1 | 2022-03-01T10:59:11.000Z | 2022-03-01T10:59:11.000Z | source/Gui.py | Faraphel/MKWF-Install | 8a86cae630da6702bf65b15340dc2db3e0abc182 | [
"Apache-2.0"
] | null | null | null | source/Gui.py | Faraphel/MKWF-Install | 8a86cae630da6702bf65b15340dc2db3e0abc182 | [
"Apache-2.0"
] | 3 | 2021-06-15T17:23:36.000Z | 2021-07-07T11:45:46.000Z | from tkinter import filedialog, ttk, messagebox
from tkinter import *
import traceback
import requests
import zipfile
import json
import os
from source.Game import Game, RomAlreadyPatched, InvalidGamePath, InvalidFormat, in_thread, VERSION_FILE_URL
from source.Option import Option
from source.definition import get_ver... | 52.66782 | 245 | 0.648183 | 14,789 | 0.971554 | 0 | 0 | 214 | 0.014059 | 0 | 0 | 3,074 | 0.201945 |
eb967e24d2a33e6b84541055a8e1fda35b50d6bc | 1,236 | py | Python | FastSimulation/HighLevelTrigger/python/full2fast.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | FastSimulation/HighLevelTrigger/python/full2fast.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | FastSimulation/HighLevelTrigger/python/full2fast.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
def modify_hltL3TrajSeedOIHit(_hltL3TrajSeedOIHit):
_iterativeTSG = _hltL3TrajSeedOIHit.TkSeedGenerator.iterativeTSG
_iterativeTSG.ComponentName = cms.string('FastTSGFromPropagation')
_iterativeTSG.HitProducer = cms.InputTag("fastMatchedTrackerRecHitCombinations")
... | 47.538462 | 84 | 0.786408 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 243 | 0.196602 |
eb974878838a569a2d9cf63b612ccad301b890eb | 1,612 | py | Python | titledb/update_db.py | EMUGamesDevTeam/TitleDB | 4d13cce0f5e9d547316aba951301f001ca3b2c2c | [
"Unlicense"
] | 1 | 2020-07-13T19:20:45.000Z | 2020-07-13T19:20:45.000Z | titledb/update_db.py | EMUGamesDevTeam/TitleDB | 4d13cce0f5e9d547316aba951301f001ca3b2c2c | [
"Unlicense"
] | null | null | null | titledb/update_db.py | EMUGamesDevTeam/TitleDB | 4d13cce0f5e9d547316aba951301f001ca3b2c2c | [
"Unlicense"
] | null | null | null | import os, sys, re, transaction, base64, zlib
from sqlalchemy import engine_from_config
from pyramid.paster import (
get_appsettings,
setup_logging,
)
from .models import (
DBSession,
CIA,
Entry,
User,
Group,
Base,
)
from .security import hash_password
def usage(argv):
cmd = os.... | 26 | 103 | 0.581266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0.051489 |
eb9805e46c99a38df84681449ccdcec4ab9e7a42 | 3,297 | py | Python | src/modeling/models_cv.py | sebasjp/octopus-ml | c8f650cf9487a82d6b71a5d5bada12c5c42ab954 | [
"MIT"
] | 1 | 2021-05-15T22:35:51.000Z | 2021-05-15T22:35:51.000Z | src/modeling/models_cv.py | sebasjp/octopus | c8f650cf9487a82d6b71a5d5bada12c5c42ab954 | [
"MIT"
] | null | null | null | src/modeling/models_cv.py | sebasjp/octopus | c8f650cf9487a82d6b71a5d5bada12c5c42ab954 | [
"MIT"
] | null | null | null | from sklearn.ensemble import RandomForestClassifier
import xgboost as xgb
from sklearn.model_selection import cross_val_score
from sklearn.pipeline import Pipeline
import numpy as np
# =============================================================
# Modeling tools for cross validation
# Reference: https://github.com/fm... | 33.30303 | 102 | 0.558386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,330 | 0.403397 |
eb98399d5d514cad736c35a8e1b08c45e1e0717f | 4,089 | py | Python | flask_makespc.py | OliWright/MakeSPC | ddcc5b60de3bdb244b25da0d1a459b4b071ab278 | [
"MIT"
] | null | null | null | flask_makespc.py | OliWright/MakeSPC | ddcc5b60de3bdb244b25da0d1a459b4b071ab278 | [
"MIT"
] | null | null | null | flask_makespc.py | OliWright/MakeSPC | ddcc5b60de3bdb244b25da0d1a459b4b071ab278 | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2020 Oli Wright <[email protected]>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# ... | 41.72449 | 108 | 0.705062 | 0 | 0 | 0 | 0 | 2,061 | 0.504035 | 0 | 0 | 2,147 | 0.525067 |
eb999df27e58e23913b51b8bb91c7eb0ee53cf08 | 1,201 | py | Python | pytherface/yamlFileReader.py | aseiger/pytherface-configurator | 704703cee8dd31f28fd73552c2b40c4b4d5faa5b | [
"MIT"
] | null | null | null | pytherface/yamlFileReader.py | aseiger/pytherface-configurator | 704703cee8dd31f28fd73552c2b40c4b4d5faa5b | [
"MIT"
] | null | null | null | pytherface/yamlFileReader.py | aseiger/pytherface-configurator | 704703cee8dd31f28fd73552c2b40c4b4d5faa5b | [
"MIT"
] | null | null | null | #reads in the protocol requirements and stores the information in a class
import yaml
import logging
logger = logging.getLogger(__name__)
def loadYamlFile(filename):
#open up the filename
logger.debug("Opening file {}".format(filename))
try:
fObject = open(filename, 'r')
except Fi... | 31.605263 | 77 | 0.631973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 430 | 0.358035 |
eb99f86622cecc9f033b1bea66381c9d93c350c4 | 9,225 | py | Python | pysnmp-with-texts/CADANT-CMTS-NOTIFICATION-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 8 | 2019-05-09T17:04:00.000Z | 2021-06-09T06:50:51.000Z | pysnmp-with-texts/CADANT-CMTS-NOTIFICATION-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 4 | 2019-05-31T16:42:59.000Z | 2020-01-31T21:57:17.000Z | pysnmp-with-texts/CADANT-CMTS-NOTIFICATION-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module CADANT-CMTS-NOTIFICATION-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CADANT-CMTS-NOTIFICATION-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:45:14 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python vers... | 139.772727 | 717 | 0.776802 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,137 | 0.448455 |
eb9b09f7ae8cd2422a36c30cbe319e6b1bdb760a | 179 | py | Python | Exercicios em Python/ex051.py | Raphael-Azevedo/Exercicios_Python | dece138f38edd02b0731aed78e44acccb021b3cb | [
"MIT"
] | null | null | null | Exercicios em Python/ex051.py | Raphael-Azevedo/Exercicios_Python | dece138f38edd02b0731aed78e44acccb021b3cb | [
"MIT"
] | null | null | null | Exercicios em Python/ex051.py | Raphael-Azevedo/Exercicios_Python | dece138f38edd02b0731aed78e44acccb021b3cb | [
"MIT"
] | null | null | null | n1 = int(input('Digite o primeiro termo da PA: '))
n2 = int(input('Digite a razão da PA: '))
for c in range(1, 11):
o = n1 + (c - 1)*n2
print(o, end=' - ')
print('ACABOU') | 29.833333 | 50 | 0.564246 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.394444 |
eb9c34327c8ded8bca2d41bbc276bd049672bbd7 | 1,729 | py | Python | bad.py | Spencer-Clay/Spencer-Clay-ketangpai_cracker- | dd769a853a6fd5e4cd0c7a1b891c46a50360cd27 | [
"MIT"
] | null | null | null | bad.py | Spencer-Clay/Spencer-Clay-ketangpai_cracker- | dd769a853a6fd5e4cd0c7a1b891c46a50360cd27 | [
"MIT"
] | null | null | null | bad.py | Spencer-Clay/Spencer-Clay-ketangpai_cracker- | dd769a853a6fd5e4cd0c7a1b891c46a50360cd27 | [
"MIT"
] | null | null | null | import requests
import sys
import os
import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
requests.adapters.DEFAULT_RETRIES = 10
def exploit_post_code(data, token):
main_url = 'https://openapiv51.ketangpai.com/AttenceApi/checkin'
headers = {
"User-Agent": "Mozilla/5.0 (M... | 30.875 | 111 | 0.604974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 740 | 0.419263 |
eb9c7f642d7fd9e4d6c05d5178d9f6237379f4fa | 2,087 | py | Python | docker/src/app_server/sse.py | ShenTengTu/leak_monitoring_app | dba3bc6aebdc4fe104508262065e426844a1ce52 | [
"MIT"
] | null | null | null | docker/src/app_server/sse.py | ShenTengTu/leak_monitoring_app | dba3bc6aebdc4fe104508262065e426844a1ce52 | [
"MIT"
] | null | null | null | docker/src/app_server/sse.py | ShenTengTu/leak_monitoring_app | dba3bc6aebdc4fe104508262065e426844a1ce52 | [
"MIT"
] | null | null | null | import logging
import io
from asyncio import Queue
from sse_starlette.sse import (
EventSourceResponse as _EventSourceResponse,
AppStatus,
ServerSentEvent,
)
from .endec import Encode
logger = logging.getLogger("app_server")
class EventSourceResponse(_EventSourceResponse):
"""Override original `Event... | 30.691176 | 88 | 0.595592 | 1,843 | 0.883086 | 0 | 0 | 575 | 0.275515 | 1,210 | 0.57978 | 399 | 0.191184 |
eb9cf0127ef5ed427d9efbbfab74a2a9d0c4ae7e | 2,088 | py | Python | python/constants.py | ptracton/wb_platform | 7e8a3c0fc9486cb0ee29d0d44707ee7dc21a6824 | [
"MIT"
] | null | null | null | python/constants.py | ptracton/wb_platform | 7e8a3c0fc9486cb0ee29d0d44707ee7dc21a6824 | [
"MIT"
] | null | null | null | python/constants.py | ptracton/wb_platform | 7e8a3c0fc9486cb0ee29d0d44707ee7dc21a6824 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
"""
Packet Commands
"""
COMMAND_CPU_WRITE = 1
COMMAND_CPU_READ = 2
COMMAND_DAQ_WRITE = 3
COMMAND_DAQ_READ = 4
"""
RAM ADDRESSES
"""
RAM0_BASE_ADDRESS = 0x90000000
RAM1_BASE_ADDRESS = 0x90002000
RAM2_BASE_ADDRESS = 0x90004000
RAM3_BASE_ADDRESS = 0x90006000
"""
GPIO
"""
GPIO_BASE_ADDRESS = 0x40... | 26.769231 | 55 | 0.815134 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.052682 |
eb9dfa5d0a36f0ca4db0ee5aca27a1643f342549 | 257 | py | Python | matdat/__init__.py | Fumipo-Theta/matdat | cb55acd346acef5f192d71c835b8fbe5c957cc55 | [
"BSD-2-Clause"
] | null | null | null | matdat/__init__.py | Fumipo-Theta/matdat | cb55acd346acef5f192d71c835b8fbe5c957cc55 | [
"BSD-2-Clause"
] | null | null | null | matdat/__init__.py | Fumipo-Theta/matdat | cb55acd346acef5f192d71c835b8fbe5c957cc55 | [
"BSD-2-Clause"
] | null | null | null | from .figure import Figure
from .subplot import Subplot
from .subplot_time import SubplotTime
from .csv_reader import CsvReader, matchCsv
from .excel_reader import ExcelReader
from .get_path import getFileList, PathList
from .save_plot import actionSavePNG
| 32.125 | 43 | 0.848249 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
eb9fd0269907f86d115d62e0ea0520c852272710 | 249 | py | Python | source/tools/filetool.py | chopin1993/protocolmaster-20210731 | e23e235ee00b940a4161c606415574d2a52c701c | [
"Apache-2.0"
] | null | null | null | source/tools/filetool.py | chopin1993/protocolmaster-20210731 | e23e235ee00b940a4161c606415574d2a52c701c | [
"Apache-2.0"
] | null | null | null | source/tools/filetool.py | chopin1993/protocolmaster-20210731 | e23e235ee00b940a4161c606415574d2a52c701c | [
"Apache-2.0"
] | null | null | null | import os
def get_file_list(root, key=None):
files = os.listdir(root)
if key is not None:
files.sort(key=key)
return files
def get_config_file(name):
return os.path.join(os.path.dirname(__file__), ".." , "resource", name) | 20.75 | 75 | 0.658635 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.056225 |
eba03f73105a14dca36c64eedfaaba318422e180 | 648 | py | Python | crud/migrations/migration_motif.py | MedAli-FSTG/AdminDjangoCrud | b7de87f2fbfe0a1b990113792deb3157aed288b8 | [
"Apache-2.0"
] | null | null | null | crud/migrations/migration_motif.py | MedAli-FSTG/AdminDjangoCrud | b7de87f2fbfe0a1b990113792deb3157aed288b8 | [
"Apache-2.0"
] | null | null | null | crud/migrations/migration_motif.py | MedAli-FSTG/AdminDjangoCrud | b7de87f2fbfe0a1b990113792deb3157aed288b8 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.2.6 on 2019-10-22 08:11
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='motifs',
fields=[
('id', models.BigAutoFiel... | 24 | 79 | 0.520062 | 555 | 0.856481 | 0 | 0 | 0 | 0 | 0 | 0 | 115 | 0.177469 |
eba3ba5c97bda5e5f7c847bfd13a55f5e2d84a33 | 280 | py | Python | github-json_to_xml/conv.py | alvarenga/github-json_to_xml | 6ac210bea8badbed18f9e65127cb19e386e85d24 | [
"MIT"
] | null | null | null | github-json_to_xml/conv.py | alvarenga/github-json_to_xml | 6ac210bea8badbed18f9e65127cb19e386e85d24 | [
"MIT"
] | null | null | null | github-json_to_xml/conv.py | alvarenga/github-json_to_xml | 6ac210bea8badbed18f9e65127cb19e386e85d24 | [
"MIT"
] | null | null | null | def conv(user):
import requests
import json
import xmltodict
url = 'https://api.github.com/users/' + user
s = requests.get(url)
# Converter json para dict
x = {}
x['wg'] = json.loads(s.text)
y = xmltodict.unparse(x, pretty=True)
return y
| 20 | 48 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61 | 0.217857 |
eba40c7836d02b53113b113f1c42b28c5c259a93 | 404 | py | Python | twitoff/__init__.py | jeffyjkang/DS-Unit-3-Sprint-3-Productization-and-Cloud | d12952dd625c8d282db1946dd50c7f478e90dd7a | [
"MIT"
] | null | null | null | twitoff/__init__.py | jeffyjkang/DS-Unit-3-Sprint-3-Productization-and-Cloud | d12952dd625c8d282db1946dd50c7f478e90dd7a | [
"MIT"
] | null | null | null | twitoff/__init__.py | jeffyjkang/DS-Unit-3-Sprint-3-Productization-and-Cloud | d12952dd625c8d282db1946dd50c7f478e90dd7a | [
"MIT"
] | null | null | null | from .app import create_app
# APP = create_app()
# python commands:
# in app dir
#FLASKAPP=twitoff flask run
# in root dir
# FLASK_APP=twitoff flask shell
'''
Notes for setup:
in root, FLASK_APP=twitoff flask shell
import create_app
init create_app()
import DB
DB.create_all()
creates tables
'''
'''
Other commands... | 14.428571 | 46 | 0.725248 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 363 | 0.898515 |
eba6b8526a7352b129d62e67953fbea4c4064fb0 | 1,945 | py | Python | tellapart/aurproxy/config/route.py | thinker0/aurproxy | 7387bb3ac7decd9d0034f9ca6b4dfea4384ce59d | [
"Apache-2.0"
] | 1 | 2020-02-25T04:09:48.000Z | 2020-02-25T04:09:48.000Z | tellapart/aurproxy/config/route.py | aurora-scheduler/aurproxy | 73a1e7086cc4dd171456f50724246a9261febaf8 | [
"Apache-2.0"
] | null | null | null | tellapart/aurproxy/config/route.py | aurora-scheduler/aurproxy | 73a1e7086cc4dd171456f50724246a9261febaf8 | [
"Apache-2.0"
] | 2 | 2020-09-12T13:06:45.000Z | 2021-01-19T09:42:58.000Z | # Copyright 2015 TellApart, Inc.
#
# 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 writi... | 29.029851 | 74 | 0.728021 | 1,364 | 0.701285 | 0 | 0 | 557 | 0.286375 | 0 | 0 | 587 | 0.301799 |
eba7e9b9d2ce20a664ab35ed0b3544b8abc90d3f | 4,394 | py | Python | rail/creation/creator.py | LSSTDESC/RAIL | 77707a708068a6818d5d815fb6b952ecc06d511b | [
"MIT"
] | 7 | 2020-09-21T13:02:23.000Z | 2022-03-23T19:26:41.000Z | rail/creation/creator.py | LSSTDESC/RAIL | 77707a708068a6818d5d815fb6b952ecc06d511b | [
"MIT"
] | 116 | 2019-11-21T17:20:52.000Z | 2022-03-30T11:21:54.000Z | rail/creation/creator.py | LSSTDESC/RAIL | 77707a708068a6818d5d815fb6b952ecc06d511b | [
"MIT"
] | 6 | 2020-01-24T17:14:43.000Z | 2022-03-30T11:27:20.000Z | import numpy as np
import pandas as pd
from rail.creation.engines import Engine
from typing import Callable
class Creator:
"""Object that supplies mock data for redshift estimation experiments.
The mock data is drawn from a probability distribution defined by the
generator, with an optional degrader appl... | 37.237288 | 107 | 0.60924 | 4,283 | 0.974738 | 0 | 0 | 0 | 0 | 0 | 0 | 2,670 | 0.607647 |
eba86bf586aecd5b8c7e0131858b6b347ef52969 | 834 | py | Python | contrib/nchain/devops/pipe-unittests.py | Trackerming/bitcoin-sv | fb50a64e3ea0334a86b2c80daf5147c5bc2693c4 | [
"MIT"
] | 8 | 2019-08-02T02:49:42.000Z | 2022-01-17T15:51:48.000Z | contrib/nchain/devops/pipe-unittests.py | Trackerming/bitcoin-sv | fb50a64e3ea0334a86b2c80daf5147c5bc2693c4 | [
"MIT"
] | null | null | null | contrib/nchain/devops/pipe-unittests.py | Trackerming/bitcoin-sv | fb50a64e3ea0334a86b2c80daf5147c5bc2693c4 | [
"MIT"
] | 4 | 2019-08-02T02:50:44.000Z | 2021-05-28T03:21:38.000Z | #!/usr/bin/python3
# Perform the unit tests on SV
import subprocess
import os
import pathlib
import traceback
import pipetestutils
def main():
r1 = -1
try:
pathlib.Path("build/reports").mkdir(parents=True, exist_ok=True)
os.chdir("src/test")
except Exception as e:
print("Problem ch... | 23.828571 | 72 | 0.581535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 244 | 0.292566 |
ebaa426765a7f0d350ab28d87557159798371f08 | 2,439 | py | Python | tx_salaries/utils/transformers/ut_medical_branch.py | texastribune/tx_salaries | 197d8da4e1783216830b8d0a5adb23c0200fd3e8 | [
"Apache-2.0"
] | 6 | 2016-05-18T05:53:44.000Z | 2019-06-13T18:27:50.000Z | tx_salaries/utils/transformers/ut_medical_branch.py | texastribune/tx_salaries | 197d8da4e1783216830b8d0a5adb23c0200fd3e8 | [
"Apache-2.0"
] | 64 | 2015-02-13T18:29:04.000Z | 2018-06-15T19:48:56.000Z | tx_salaries/utils/transformers/ut_medical_branch.py | texastribune/tx_salaries | 197d8da4e1783216830b8d0a5adb23c0200fd3e8 | [
"Apache-2.0"
] | 2 | 2015-05-08T19:22:12.000Z | 2016-07-11T16:57:49.000Z | from . import base
from . import mixins
from datetime import date
class TransformedRecord(
mixins.GenericCompensationMixin,
mixins.GenericDepartmentMixin, mixins.GenericIdentifierMixin,
mixins.GenericJobTitleMixin, mixins.GenericPersonMixin,
mixins.MembershipMixin, mixins.OrganizationM... | 29.385542 | 77 | 0.627306 | 2,314 | 0.948749 | 0 | 0 | 1,152 | 0.472325 | 0 | 0 | 760 | 0.311603 |
ebac27508f66c5ff713c821f2b877ebdbc6660c6 | 2,912 | py | Python | accountingsubject/views.py | zwj12/accounting | 96678104ac7815da57f8f8c1a38c3138bc5ed0b6 | [
"Apache-2.0"
] | null | null | null | accountingsubject/views.py | zwj12/accounting | 96678104ac7815da57f8f8c1a38c3138bc5ed0b6 | [
"Apache-2.0"
] | null | null | null | accountingsubject/views.py | zwj12/accounting | 96678104ac7815da57f8f8c1a38c3138bc5ed0b6 | [
"Apache-2.0"
] | null | null | null | from django.db.models import Count, Sum
from django.http import HttpResponseRedirect
from django.shortcuts import render, get_object_or_404
# Create your views here.
from django.views import generic
from accountingsubject.forms import AccountingSubjectForm
from accountingsubject.models import AccountingSubject
from c... | 44.121212 | 119 | 0.714629 | 750 | 0.257555 | 0 | 0 | 0 | 0 | 0 | 0 | 1,088 | 0.373626 |
ebac6ca248c814898ee7e3737a6b5b9899d1e5a4 | 762 | py | Python | utils/custombase.py | Zashel/utils | 1c8b9e1ad7ceb1924a719bef588fcfe38dfd1f70 | [
"Apache-2.0"
] | null | null | null | utils/custombase.py | Zashel/utils | 1c8b9e1ad7ceb1924a719bef588fcfe38dfd1f70 | [
"Apache-2.0"
] | null | null | null | utils/custombase.py | Zashel/utils | 1c8b9e1ad7ceb1924a719bef588fcfe38dfd1f70 | [
"Apache-2.0"
] | null | null | null | class AttributedDict(dict):
def __dir__(self):
directory = dir(super())
directory.extend([str(key.replace(" ", "_")) for key in self])
return directory
def __getattr__(self, attr):
_dir_dict = dict()
[_dir_dict.update({key.replace(" ", "_"): key}) for key in self]
... | 31.75 | 72 | 0.560367 | 761 | 0.998688 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.023622 |
ebad0fa39828f876d9327badae6cbb23b3a1f522 | 258 | py | Python | upylab/upylab_5.3.py | piousteph/mooc_python | b7446c8a8317e2ae5e87a9ce27fd107f20333765 | [
"MIT"
] | null | null | null | upylab/upylab_5.3.py | piousteph/mooc_python | b7446c8a8317e2ae5e87a9ce27fd107f20333765 | [
"MIT"
] | null | null | null | upylab/upylab_5.3.py | piousteph/mooc_python | b7446c8a8317e2ae5e87a9ce27fd107f20333765 | [
"MIT"
] | null | null | null |
def duree(debut, fin):
d = debut[0] * 60 + debut[1]
f = fin[0] * 60 + fin[1]
e = f - d
h = e // 60
m = e - h * 60
if h < 0:
h = 24 - abs(h)
return (h, m)
print(duree ((14, 39), (18, 45)))
print(duree ((6, 0), (5, 15))) | 17.2 | 33 | 0.410853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ebaeccfe37530d080542e9861760ac1b8264f12f | 31,392 | py | Python | utils.py | val-iisc/ss_human_mesh | f9c7fcf577c83316eb610753e3f5678b7b5e24c5 | [
"MIT"
] | 31 | 2020-08-31T11:32:33.000Z | 2021-12-05T08:47:33.000Z | utils.py | rakeshramesha/SS_Human_Mesh | b27d53a08b60a1ac32d1845557f317c165498fd5 | [
"MIT"
] | null | null | null | utils.py | rakeshramesha/SS_Human_Mesh | b27d53a08b60a1ac32d1845557f317c165498fd5 | [
"MIT"
] | 7 | 2020-09-25T03:50:59.000Z | 2021-12-10T05:24:58.000Z |
""" General Utilities file. """
import sys
import os
############################ NON-TF UTILS ##########################
from skimage.util import img_as_float
import numpy as np
import cv2
import pickle
from PIL import Image
from io import BytesIO
import math
import tqdm
import scipy
import json
import matplo... | 33.538462 | 195 | 0.618374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,454 | 0.205594 |
ebb024cf3162a7ae7533de24c182385e63946496 | 8,389 | py | Python | netQuil/connections.py | att-innovate/qnetdes | 459d688e92139ab3219416cdb9e3b20ff082dc1d | [
"MIT"
] | 4 | 2019-11-14T21:30:35.000Z | 2021-12-13T08:34:33.000Z | netQuil/connections.py | att-innovate/qnetdes | 459d688e92139ab3219416cdb9e3b20ff082dc1d | [
"MIT"
] | null | null | null | netQuil/connections.py | att-innovate/qnetdes | 459d688e92139ab3219416cdb9e3b20ff082dc1d | [
"MIT"
] | null | null | null | import queue
import multiprocessing
import itertools
import sys
__all__ = ["QConnect", "CConnect"]
pulse_length_default = 10 * 10 ** -12 # 10 ps photon pulse length
signal_speed = 2.998 * 10 ** 5 #speed of light in km/s
fiber_length_default = 0.0
class QConnect:
def __init__(self, *args, transit_devices=[]):
... | 39.947619 | 119 | 0.619383 | 8,137 | 0.969961 | 0 | 0 | 0 | 0 | 0 | 0 | 3,184 | 0.379545 |
ebb199161cfe0fe5c616a4c065ef5c14803d10c1 | 2,035 | py | Python | pqcli/ui/curses/views/game_view/character_sheet_window.py | tree-s/pq-cli | f5d0ed69a99c490a63f854442fba2b443e59a134 | [
"MIT"
] | 94 | 2018-11-17T22:40:16.000Z | 2022-03-28T05:09:16.000Z | pqcli/ui/curses/views/game_view/character_sheet_window.py | tree-s/pq-cli | f5d0ed69a99c490a63f854442fba2b443e59a134 | [
"MIT"
] | 17 | 2019-04-10T18:06:46.000Z | 2022-03-03T03:25:08.000Z | pqcli/ui/curses/views/game_view/character_sheet_window.py | tree-s/pq-cli | f5d0ed69a99c490a63f854442fba2b443e59a134 | [
"MIT"
] | 14 | 2019-04-10T21:33:14.000Z | 2022-02-16T14:42:56.000Z | import typing as T
from pqcli.mechanic import Player, StatType
from pqcli.ui.curses.widgets import Focusable
from .progress_bar_window import DataTableProgressBarWindow
class CharacterSheetWindow(Focusable, DataTableProgressBarWindow):
def __init__(
self, player: Player, parent: T.Any, h: int, w: int, y... | 30.373134 | 75 | 0.615725 | 1,861 | 0.914496 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0.078624 |
ebb3616f90465bce3896df5538302b23c8d738c6 | 1,668 | py | Python | src/precession/planet.py | kurlytail/precession | a5dd83f4fca4629de1f5759bb467183bda1a6506 | [
"MIT"
] | null | null | null | src/precession/planet.py | kurlytail/precession | a5dd83f4fca4629de1f5759bb467183bda1a6506 | [
"MIT"
] | null | null | null | src/precession/planet.py | kurlytail/precession | a5dd83f4fca4629de1f5759bb467183bda1a6506 | [
"MIT"
] | null | null | null | import yaml
import pathlib
import json
import math
class Planet(object):
def __init__(self, config):
self.GMS = 0
# mass
self.M = 0.
self.name = "unknown"
# period
self.T = 1.
# eccentricity
self.e = 0.
# semi major axis
self.a = 1.
... | 27.8 | 97 | 0.522182 | 1,614 | 0.967626 | 0 | 0 | 499 | 0.299161 | 0 | 0 | 207 | 0.124101 |
ebb36f491c315700e82d95483ecfc1489b55b959 | 2,479 | py | Python | tests/unit_test_suit.py | vlastikczech/zang-python | 980f5243071404d6838554500a6955ff7bc2a0c7 | [
"MIT"
] | 1 | 2019-02-18T21:51:58.000Z | 2019-02-18T21:51:58.000Z | tests/unit_test_suit.py | vlastikczech/zang-python | 980f5243071404d6838554500a6955ff7bc2a0c7 | [
"MIT"
] | 6 | 2019-06-26T13:56:22.000Z | 2022-02-17T16:40:48.000Z | tests/unit_test_suit.py | vlastikczech/zang-python | 980f5243071404d6838554500a6955ff7bc2a0c7 | [
"MIT"
] | 6 | 2017-10-17T12:44:32.000Z | 2020-02-07T20:45:00.000Z | import unittest
from tests.unit.test_account import TestAccount
from tests.unit.test_application import TestApplication
from tests.unit.test_usages import TestUsages
from tests.unit.test_conferences import TestConferences
from tests.unit.test_mms_messages import TestMmsMessages
from tests.unit.test_sms_messages import ... | 47.673077 | 76 | 0.835418 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84 | 0.033885 |
ebb41e91a8e2783d3b37bf3b6b979d65654f5089 | 262 | py | Python | Python/basic-py/exercise_14.py | nhutnamhcmus/code | 22b528084ed234fcabca89cf1ba02a2c347007bc | [
"MIT"
] | 1 | 2020-10-12T18:33:22.000Z | 2020-10-12T18:33:22.000Z | Python/basic-py/exercise_14.py | nhutnamhcmus/code | 22b528084ed234fcabca89cf1ba02a2c347007bc | [
"MIT"
] | null | null | null | Python/basic-py/exercise_14.py | nhutnamhcmus/code | 22b528084ed234fcabca89cf1ba02a2c347007bc | [
"MIT"
] | null | null | null | def _get_square(list):
l1 = [x*x for x in range(0, len(list), 2) if x % 3 != 0]
return l1
print(_get_square([1, 2, 3, 4, 5]))
def get_square(list):
l1 = [x*x for x in list if x % 3 != 0 and x % 2 == 0]
return l1
print(get_square([1, 2, 3, 4, 5])) | 23.818182 | 58 | 0.557252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ebb439a6545138904530c4467b730cf8637621d9 | 391 | py | Python | utils/reduce_data.py | akshatabhat/transformers | 83c6f38b9bf1397f3d2c95c7b0ea8907f709c580 | [
"Apache-2.0"
] | 1 | 2021-03-26T14:06:52.000Z | 2021-03-26T14:06:52.000Z | utils/reduce_data.py | akshatabhat/transformers | 83c6f38b9bf1397f3d2c95c7b0ea8907f709c580 | [
"Apache-2.0"
] | null | null | null | utils/reduce_data.py | akshatabhat/transformers | 83c6f38b9bf1397f3d2c95c7b0ea8907f709c580 | [
"Apache-2.0"
] | null | null | null | import json
def main(file_path, out_len):
with open(file_path, 'r') as f:
data = json.loads(f.read())
print(len(data['data']))
data['data'] = data['data'][:out_len]
with open(file_path, 'w') as f:
print(len(data['data']))
json.dump(data, f)
if __name__ == "__main__":
... | 23 | 45 | 0.56266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 82 | 0.209719 |
ebb54d34edb14bf6d75544e3fae03ac69c069a8f | 15,289 | py | Python | jade/jobs/job_submitter.py | NREL/jade | 84d73f45e206c4a35e6483e6c1ce29ab7ac7e543 | [
"BSD-3-Clause"
] | 15 | 2021-05-15T21:58:26.000Z | 2022-03-17T08:26:48.000Z | jade/jobs/job_submitter.py | NREL/jade | 84d73f45e206c4a35e6483e6c1ce29ab7ac7e543 | [
"BSD-3-Clause"
] | 22 | 2021-02-04T20:02:33.000Z | 2021-09-14T13:29:30.000Z | jade/jobs/job_submitter.py | NREL/jade | 84d73f45e206c4a35e6483e6c1ce29ab7ac7e543 | [
"BSD-3-Clause"
] | 3 | 2021-01-11T15:11:31.000Z | 2021-06-07T17:36:51.000Z | """Provides ability to run jobs locally or on HPC."""
from collections import OrderedDict
import datetime
import fileinput
import importlib
import logging
import os
import shutil
import jade
from jade.common import (
CONFIG_FILE,
JOBS_OUTPUT_DIR,
OUTPUT_DIR,
RESULTS_FILE,
HPC_CONFIG_FILE,
)
from j... | 35.473318 | 99 | 0.608738 | 13,698 | 0.895938 | 1,253 | 0.081954 | 4,721 | 0.308784 | 0 | 0 | 3,127 | 0.204526 |
ebb61e698b97baa6c67673863e148e21ab80d713 | 1,364 | py | Python | testing/MarketMaker_contract_test.py | SK1989sL/RYO | a0c89c694d9ad4aed9a9776937f2f73271b67f28 | [
"MIT"
] | null | null | null | testing/MarketMaker_contract_test.py | SK1989sL/RYO | a0c89c694d9ad4aed9a9776937f2f73271b67f28 | [
"MIT"
] | null | null | null | testing/MarketMaker_contract_test.py | SK1989sL/RYO | a0c89c694d9ad4aed9a9776937f2f73271b67f28 | [
"MIT"
] | null | null | null | import os
import pytest
from starkware.starknet.compiler.compile import (
compile_starknet_files)
from starkware.starknet.testing.starknet import Starknet
from starkware.starknet.testing.contract import StarknetContract
# The path to the contract source code.
CONTRACT_FILE = os.path.join(
os.path.dirname(__fi... | 30.311111 | 79 | 0.73827 | 0 | 0 | 0 | 0 | 886 | 0.64956 | 865 | 0.634164 | 308 | 0.225806 |
ebb6654546e2771ea9a8d0a98c2ca7dabc9a83dc | 230 | py | Python | scrapyu/__init__.py | lin-zone/scrapyu | abcb8eed2ea02121b74017e007c57c0d3762342d | [
"MIT"
] | 1 | 2021-01-05T09:11:42.000Z | 2021-01-05T09:11:42.000Z | scrapyu/__init__.py | lin-zone/scrapyu | abcb8eed2ea02121b74017e007c57c0d3762342d | [
"MIT"
] | null | null | null | scrapyu/__init__.py | lin-zone/scrapyu | abcb8eed2ea02121b74017e007c57c0d3762342d | [
"MIT"
] | null | null | null | __version__ = '0.1.12'
from ._useragent import UserAgentMiddleware
from ._markdown import MarkdownPipeline
from ._cookies import FirefoxCookiesMiddleware
from ._mongodb import MongoDBPipeline
from ._redis import RedisDupeFilter
| 25.555556 | 46 | 0.847826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.034783 |
ebb6bb07248128010f898b3fb588b1cee8d3c6cc | 1,930 | py | Python | test/perform_additional_setup.py | aws/amazon-braket-containers | 44187fb4cc73e05bda3e361638d94b90f6e4c06a | [
"Apache-2.0"
] | 1 | 2022-03-22T23:49:17.000Z | 2022-03-22T23:49:17.000Z | test/perform_additional_setup.py | aws/amazon-braket-containers | 44187fb4cc73e05bda3e361638d94b90f6e4c06a | [
"Apache-2.0"
] | null | null | null | test/perform_additional_setup.py | aws/amazon-braket-containers | 44187fb4cc73e05bda3e361638d94b90f6e4c06a | [
"Apache-2.0"
] | 3 | 2021-11-29T21:19:31.000Z | 2022-01-13T16:31:06.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompan... | 33.275862 | 77 | 0.698964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 945 | 0.489637 |
ebb7280816985728a4a272af67774f62eef9667c | 1,146 | py | Python | experiments/optim.py | fbcotter/dtcwt_gainlayer | 32ec3e21066edc2a0d5edefaf70f43d031d1b4ac | [
"MIT"
] | 6 | 2018-11-14T22:41:58.000Z | 2021-12-08T11:01:32.000Z | experiments/optim.py | fbcotter/dtcwt_gainlayer | 32ec3e21066edc2a0d5edefaf70f43d031d1b4ac | [
"MIT"
] | null | null | null | experiments/optim.py | fbcotter/dtcwt_gainlayer | 32ec3e21066edc2a0d5edefaf70f43d031d1b4ac | [
"MIT"
] | 1 | 2020-05-22T16:10:00.000Z | 2020-05-22T16:10:00.000Z | import torch.optim
from numpy import ndarray
def get_optim(optim, params, init_lr, steps=1, wd=0, gamma=1,
momentum=0.9, max_epochs=120):
if optim == 'sgd':
optimizer = torch.optim.SGD(
params, lr=init_lr, momentum=momentum, weight_decay=wd)
elif optim == 'sgd_nomem':
... | 33.705882 | 69 | 0.624782 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.092496 |
ebb8162cb09b68c8030371823ad7d00d0561cc03 | 1,941 | py | Python | src/microengineclamav/tasks.py | polyswarm/microengine-clamav | 9427932cd35d4f8bfc7fe7877e90f518e7a3bfbb | [
"MIT"
] | 2 | 2018-05-20T00:08:14.000Z | 2018-06-13T22:42:14.000Z | src/microengineclamav/tasks.py | polyswarm/microengine-clamav | 9427932cd35d4f8bfc7fe7877e90f518e7a3bfbb | [
"MIT"
] | 1 | 2021-06-22T15:03:01.000Z | 2021-06-22T20:26:52.000Z | src/microengineclamav/tasks.py | polyswarm/microengine-clamav | 9427932cd35d4f8bfc7fe7877e90f518e7a3bfbb | [
"MIT"
] | 1 | 2019-02-21T20:22:32.000Z | 2019-02-21T20:22:32.000Z | from celery import Celery, Task
from microengine_utils import errors
from microengine_utils.datadog import configure_metrics
from microengine_utils.constants import SCAN_FAIL, SCAN_SUCCESS, SCAN_TIME, SCAN_VERDICT
from microengineclamav.models import Bounty, ScanResult, Verdict, Assertion, Phase
from microengineclamav... | 35.944444 | 104 | 0.663575 | 374 | 0.192684 | 0 | 0 | 1,442 | 0.742916 | 0 | 0 | 195 | 0.100464 |
ebb9e939ebab9f1ac907089a906eafebd3d40188 | 18,835 | py | Python | app/main.py | rendybjunior/freddie-mercury | 1b6d1fe8c06f317e5fc8ab17afdfa0a8b90a7a75 | [
"Apache-2.0"
] | null | null | null | app/main.py | rendybjunior/freddie-mercury | 1b6d1fe8c06f317e5fc8ab17afdfa0a8b90a7a75 | [
"Apache-2.0"
] | 2 | 2019-05-11T16:25:54.000Z | 2019-05-13T01:19:16.000Z | app/main.py | rendybjunior/freddie-mercury | 1b6d1fe8c06f317e5fc8ab17afdfa0a8b90a7a75 | [
"Apache-2.0"
] | null | null | null | import datetime
import os, sys, six, base64, copy
from jinja2 import Environment, FileSystemLoader, Template
from google.auth.transport import requests
from google.cloud import datastore
from google.cloud import storage
from google.cloud import bigquery
import google.oauth2.id_token
from flask import Flask, render_t... | 40.945652 | 156 | 0.623042 | 1,769 | 0.093921 | 0 | 0 | 7,483 | 0.397292 | 0 | 0 | 3,801 | 0.201805 |
ebbaa88673070e1877aabf5581d29c7b6749d413 | 982 | py | Python | ej2.py | NiopTres/Ejercicio-Herramientas-Computacionales | af97b810e1ade4fb2cdfa433e1e09ddc301b7dd3 | [
"Unlicense"
] | null | null | null | ej2.py | NiopTres/Ejercicio-Herramientas-Computacionales | af97b810e1ade4fb2cdfa433e1e09ddc301b7dd3 | [
"Unlicense"
] | null | null | null | ej2.py | NiopTres/Ejercicio-Herramientas-Computacionales | af97b810e1ade4fb2cdfa433e1e09ddc301b7dd3 | [
"Unlicense"
] | null | null | null | NotaParcial1 = int(input("Nota primer Parcial: "))
NotaParcial2 = int(input("Nota segundo Parcial: "))
NotaTaller = int(input("Nota del Taller: "))
NotaProyecto = int(input("Nota del Proyecto: "))
Parcial1 = NotaParcial1*(25/100)
Parcial2 = NotaParcial2*(25/100)
Taller = NotaTaller*(20/100)
Proyecto = NotaPr... | 24.55 | 99 | 0.729124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 646 | 0.657841 |
ebbeecd7804589e9d66d63e0bc0c0723583222d7 | 1,395 | py | Python | build/package.py | weijiekoh/malvarma | cc8b699b697a0735dd53af27ae4a23955b581f93 | [
"MIT"
] | 15 | 2018-01-15T14:22:46.000Z | 2022-03-20T19:05:27.000Z | build/package.py | stephensong/malvarma | cc8b699b697a0735dd53af27ae4a23955b581f93 | [
"MIT"
] | 1 | 2018-01-21T09:56:04.000Z | 2018-06-21T06:20:23.000Z | build/package.py | stephensong/malvarma | cc8b699b697a0735dd53af27ae4a23955b581f93 | [
"MIT"
] | 6 | 2018-01-21T10:00:48.000Z | 2021-07-26T00:03:45.000Z | #!/usr/bin/env python3
"""
This script checksums, signs, and compresses malvarma-<version>.img, and
creates malvarma-<version>.tar.bz2.
The author's GPG signature is hardcoded below.
"""
import os
import shutil
import sys
import subprocess
if __name__ == "__main__":
if len(sys.argv) == 1:
print("Usage: ... | 31.704545 | 120 | 0.665233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 500 | 0.358423 |
ebc2424c2e78916d3caf093c64b2223284f39d93 | 1,955 | py | Python | examples/recordRawFrames.py | OnionIoT/tau-lidar-camera | a70b24e18be8e4c5abfe525c6768fbc10a492fd8 | [
"MIT"
] | 31 | 2020-12-18T16:35:15.000Z | 2022-03-25T18:41:19.000Z | examples/recordRawFrames.py | OnionIoT/tau-lidar-camera | a70b24e18be8e4c5abfe525c6768fbc10a492fd8 | [
"MIT"
] | 17 | 2020-11-18T16:10:36.000Z | 2022-02-01T22:19:11.000Z | examples/recordRawFrames.py | OnionIoT/tau-lidar-camera | a70b24e18be8e4c5abfe525c6768fbc10a492fd8 | [
"MIT"
] | 4 | 2021-01-18T17:25:02.000Z | 2021-11-01T13:25:45.000Z | import os
import time
from signal import signal, SIGINT
from TauLidarCommon.frame import FrameType
from TauLidarCamera.camera import Camera
outputDir = './samples'
runLoop = True
def setup():
camera = None
ports = Camera.scan() ## Scan for available Tau Camera devices
if len(ports)... | 26.066667 | 89 | 0.586189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.226087 |
ebc29b44ef030ad4cf5e8ff010606f3919b7f18d | 1,038 | py | Python | HyeonJinGithub/2020-10-13/2560 회장뽑기.py | Team-Morgorithm/Morgorithm | 133f19e1e15e423589bd7b94b698d2afc76c3ef6 | [
"MIT"
] | 1 | 2021-07-29T01:33:44.000Z | 2021-07-29T01:33:44.000Z | HyeonJinGithub/2020-10-13/2560 회장뽑기.py | Team-NTO/NTO | 133f19e1e15e423589bd7b94b698d2afc76c3ef6 | [
"MIT"
] | 150 | 2020-09-28T13:11:29.000Z | 2021-08-05T23:28:36.000Z | HyeonJinGithub/2020-10-13/2560 회장뽑기.py | Team-Morgorithm/morgorithm | 133f19e1e15e423589bd7b94b698d2afc76c3ef6 | [
"MIT"
] | 3 | 2020-09-30T14:05:56.000Z | 2021-07-29T01:33:53.000Z | import sys
from collections import deque
def bfs(x):
q = deque([x])
dist = [0] * (N + 1)
check = [False] * (N + 1)
cnt = -1
check[x] = True
while q:
size = len(q)
cnt += 1
for _ in range(size):
x = q.popleft()
for y in a[x]:
if dist... | 24.714286 | 54 | 0.421002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0.012524 |
ebc743c4294c3b10ce8684625c881a47ded3ea8a | 5,235 | py | Python | tests/test_bokeh_wamp.py | ricorx7/rti-python | 1316323b782ddb8df357e55404f507a9573e172c | [
"BSD-3-Clause"
] | 1 | 2017-06-10T13:27:44.000Z | 2017-06-10T13:27:44.000Z | tests/test_bokeh_wamp.py | ricorx7/rti-python | 1316323b782ddb8df357e55404f507a9573e172c | [
"BSD-3-Clause"
] | 10 | 2019-12-28T18:06:18.000Z | 2022-03-25T18:48:20.000Z | tests/test_bokeh_wamp.py | ricorx7/rti_python | 1316323b782ddb8df357e55404f507a9573e172c | [
"BSD-3-Clause"
] | null | null | null | import json
from twisted.logger import Logger
from twisted.internet.defer import inlineCallbacks
from autobahn.twisted.wamp import ApplicationSession
from autobahn.twisted.wamp import ApplicationRunner
from bokeh.client import push_session
from bokeh.plotting import figure, curdoc
from bokeh.models.widgets import Pan... | 41.547619 | 110 | 0.637631 | 2,698 | 0.515377 | 362 | 0.06915 | 383 | 0.073161 | 0 | 0 | 1,300 | 0.248329 |
ebc77323d31536c2b311a55342b7c92b4fa87b56 | 5,875 | py | Python | tests/integration/test_nornsible_integration.py | PhillSimonds/nornsible | 5be98f5bfa66410bc269fa239a53016b4a4ac65a | [
"MIT"
] | null | null | null | tests/integration/test_nornsible_integration.py | PhillSimonds/nornsible | 5be98f5bfa66410bc269fa239a53016b4a4ac65a | [
"MIT"
] | null | null | null | tests/integration/test_nornsible_integration.py | PhillSimonds/nornsible | 5be98f5bfa66410bc269fa239a53016b4a4ac65a | [
"MIT"
] | null | null | null | from pathlib import Path
import sys
from unittest.mock import patch
from nornir import InitNornir
import nornsible
from nornsible import InitNornsible, nornsible_delegate, nornsible_task
NORNSIBLE_DIR = nornsible.__file__
TEST_DIR = f"{Path(NORNSIBLE_DIR).parents[1]}/tests/"
@nornsible_task
def custom_task_exampl... | 36.042945 | 88 | 0.589787 | 0 | 0 | 0 | 0 | 227 | 0.038638 | 0 | 0 | 1,910 | 0.325106 |
ebc7a37f046171aa884cf21a18cce4f0bbd74515 | 8,338 | py | Python | scripts/betterX_labs_attributes.py | eliasall/BetterX-Cloud | c6796f1207ced4ad3c63fd56df08ecf5ece613e1 | [
"Apache-2.0"
] | null | null | null | scripts/betterX_labs_attributes.py | eliasall/BetterX-Cloud | c6796f1207ced4ad3c63fd56df08ecf5ece613e1 | [
"Apache-2.0"
] | null | null | null | scripts/betterX_labs_attributes.py | eliasall/BetterX-Cloud | c6796f1207ced4ad3c63fd56df08ecf5ece613e1 | [
"Apache-2.0"
] | null | null | null |
## Web File
def insertWeb(filetype, json, cursor, conn, uid):
if (filetype == 'web'):
web_page_node(json,uid,cursor,conn) # [pages] / [pageNode]
web_entry_node(json, uid, cursor, conn) # [pages] / [entriesNode]
def web_entry_response(json_entries_node, uid, cursor, conn, parentid):
tblName = 'lab_web_entries... | 32.570313 | 133 | 0.71444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,943 | 0.23303 |
ebc8ad73bf53731e4e6de57101a7b654d219529d | 21,541 | py | Python | lingvo/core/beam_search_helper_test.py | allenwang28/lingvo | 26d3d6672d3f46d8f281c2aa9f57166ef6296738 | [
"Apache-2.0"
] | 2,611 | 2018-10-16T20:14:10.000Z | 2022-03-31T14:48:41.000Z | lingvo/core/beam_search_helper_test.py | allenwang28/lingvo | 26d3d6672d3f46d8f281c2aa9f57166ef6296738 | [
"Apache-2.0"
] | 249 | 2018-10-27T06:02:29.000Z | 2022-03-30T18:00:39.000Z | lingvo/core/beam_search_helper_test.py | allenwang28/lingvo | 26d3d6672d3f46d8f281c2aa9f57166ef6296738 | [
"Apache-2.0"
] | 436 | 2018-10-25T05:31:45.000Z | 2022-03-31T07:26:03.000Z | # Lint as: python3
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# 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 ... | 44.506198 | 80 | 0.611346 | 18,064 | 0.838587 | 0 | 0 | 6,800 | 0.315677 | 0 | 0 | 2,074 | 0.096282 |
ebc8be7f524d02d68beecb4c56841bf72041c9e6 | 1,148 | py | Python | tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial3_Solution_b972f241.py | eduardojdiniz/CompNeuro | 20269e66540dc4e802273735c97323020ee37406 | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 2,294 | 2020-05-11T12:05:35.000Z | 2022-03-28T21:23:34.000Z | tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial3_Solution_b972f241.py | pellet/course-content | bb383857992469e0e7a9c36639ac0d05e842d9bd | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 629 | 2020-05-11T15:42:26.000Z | 2022-03-29T12:23:35.000Z | tutorials/W2D2_LinearSystems/solutions/W2D2_Tutorial3_Solution_b972f241.py | pellet/course-content | bb383857992469e0e7a9c36639ac0d05e842d9bd | [
"CC-BY-4.0",
"BSD-3-Clause"
] | 917 | 2020-05-11T12:47:53.000Z | 2022-03-31T12:14:41.000Z | def ddm(T, x0, xinfty, lam, sig):
t = np.arange(0, T, 1.)
x = np.zeros_like(t)
x[0] = x0
for k in range(len(t)-1):
x[k+1] = xinfty + lam * (x[k] - xinfty) + sig * np.random.standard_normal(size=1)
return t, x
# computes equilibrium variance of ddm
# returns variance
def ddm_eq_var(T, x0, ... | 30.210526 | 89 | 0.691638 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 370 | 0.3223 |
ebca2dfaedf3312d1fbafc3bbd62cb313012d5a5 | 129 | py | Python | yatr/__init__.py | mbodenhamer/yatr | 9ebc0de3e474e38d9d79effe3e9c0fec11053024 | [
"MIT"
] | null | null | null | yatr/__init__.py | mbodenhamer/yatr | 9ebc0de3e474e38d9d79effe3e9c0fec11053024 | [
"MIT"
] | 1 | 2021-03-31T18:51:21.000Z | 2021-03-31T18:51:21.000Z | yatr/__init__.py | mbodenhamer/yatr | 9ebc0de3e474e38d9d79effe3e9c0fec11053024 | [
"MIT"
] | 1 | 2017-12-13T13:30:29.000Z | 2017-12-13T13:30:29.000Z | __version__ = '0.0.11b'
from .base import *
from .context import *
from .task import *
from .env import *
from .parse import *
| 14.333333 | 23 | 0.689922 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.069767 |
ebcd555eb93d05d6fa9188af7a083640c3b0d772 | 2,829 | py | Python | paginas/p1_vrc.py | Blake-SRTC/tv-digital-deteccion | c55798714d1d1829471e31d3d8aa612739a8193c | [
"MIT"
] | null | null | null | paginas/p1_vrc.py | Blake-SRTC/tv-digital-deteccion | c55798714d1d1829471e31d3d8aa612739a8193c | [
"MIT"
] | null | null | null | paginas/p1_vrc.py | Blake-SRTC/tv-digital-deteccion | c55798714d1d1829471e31d3d8aa612739a8193c | [
"MIT"
] | null | null | null | from tkinter import *
from tkinter.font import BOLD
from algoritmos.vrc import *
from algoritmos.noise_1_bits import *
######################################################################################################
# Pagina 1
def tab1(root, common_img, bits_normales, bits_desglosados):
pagina1 = Toplevel(... | 34.084337 | 164 | 0.618593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 722 | 0.255214 |
ebcd560a4b989401a8f15f7d602324e8d9dfe946 | 889 | py | Python | tests/dna_builders_test.py | auxein/auxein | 5388cb572b65aecc282f915515c35dc3b987154c | [
"Apache-2.0"
] | 1 | 2019-05-08T14:53:27.000Z | 2019-05-08T14:53:27.000Z | tests/dna_builders_test.py | auxein/auxein | 5388cb572b65aecc282f915515c35dc3b987154c | [
"Apache-2.0"
] | 2 | 2020-08-26T09:16:47.000Z | 2020-10-30T16:47:03.000Z | tests/dna_builders_test.py | auxein/auxein | 5388cb572b65aecc282f915515c35dc3b987154c | [
"Apache-2.0"
] | null | null | null | from unittest.mock import patch
import numpy as np
from auxein.population.dna_builders import UniformRandomDnaBuilder, NormalRandomDnaBuilder
def test_uniform_random_dna_builder_instantiation():
builder = UniformRandomDnaBuilder(interval=(-5, 0))
assert builder.get_distribution() == 'uniform'
assert len(... | 29.633333 | 90 | 0.725534 | 0 | 0 | 0 | 0 | 324 | 0.364454 | 0 | 0 | 38 | 0.042745 |
ebcf09fa50c43679cec20b34ad768687dfbb66a1 | 322 | py | Python | Interesting Python Questions/add four integers together.py | liu-yunfei/Python | 314cdc98f32f4f0de2c0904279865b944e34dd75 | [
"MIT"
] | 1 | 2020-10-08T09:29:59.000Z | 2020-10-08T09:29:59.000Z | Interesting Python Questions/add four integers together.py | liu-yunfei/Python | 314cdc98f32f4f0de2c0904279865b944e34dd75 | [
"MIT"
] | 1 | 2021-01-30T12:04:51.000Z | 2021-01-30T12:05:37.000Z | Interesting Python Questions/add four integers together.py | liu-yunfei/Python | 314cdc98f32f4f0de2c0904279865b944e34dd75 | [
"MIT"
] | null | null | null | # Written by Yunfei LIU
# Sep 23, 2020
# Please obey the license GPLv3
# This allows to input four integers with space between them
number1,number2,number3,number4 = map(int,input().split())
# Add them up
sum = number1 + number2 + number3 + number4
# Get the unit digit
result = sum%10
# Output the result
print(result... | 24.769231 | 61 | 0.736025 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 181 | 0.562112 |
ebd069b822c585c6ef2aa742b9a5c038a0110139 | 445 | py | Python | math/champernowne-constant.py | qeedquan/misc_utilities | 94c6363388662ac8ebbf075b9c853ce6defbb5b3 | [
"MIT"
] | 8 | 2018-10-17T18:17:25.000Z | 2022-03-18T09:02:53.000Z | math/champernowne-constant.py | qeedquan/misc_utilities | 94c6363388662ac8ebbf075b9c853ce6defbb5b3 | [
"MIT"
] | null | null | null | math/champernowne-constant.py | qeedquan/misc_utilities | 94c6363388662ac8ebbf075b9c853ce6defbb5b3 | [
"MIT"
] | 3 | 2020-07-01T13:52:42.000Z | 2022-03-18T09:10:59.000Z | #!/usr/bin/env python
# https://en.wikipedia.org/wiki/Champernowne_constant
# sequences below are related to these constants
# counts how many numbers between two 10**n and 10**(n-1)
def A0(n):
return (10**n - 10**(n-1))*n
# http://oeis.org/A033714
# This sequence also gives the total count of digits of n below 10^... | 22.25 | 69 | 0.669663 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 273 | 0.613483 |
ebd0835b63b438a8287b71effbf6286cc7da50d9 | 5,393 | py | Python | distributed_model.py | mknw/mask-rcnn | 0e7d14abeecb208e63dc5a9f7c05dbd0419afbe7 | [
"MIT"
] | null | null | null | distributed_model.py | mknw/mask-rcnn | 0e7d14abeecb208e63dc5a9f7c05dbd0419afbe7 | [
"MIT"
] | null | null | null | distributed_model.py | mknw/mask-rcnn | 0e7d14abeecb208e63dc5a9f7c05dbd0419afbe7 | [
"MIT"
] | null | null | null | from model import *
from config import *
from utils import *
if __name__ == "__main__":
''' GPU(s) '''
gpus = tf.config.experimental.list_physical_devices('GPU')
GPU_N = 3
if gpus:
try:
tf.config.experimental.set_visible_devices(gpus[GPU_N:], 'GPU')
logical_gpus = tf.config.experimental.list_logical_devi... | 29.631868 | 139 | 0.708511 | 96 | 0.017801 | 0 | 0 | 629 | 0.116633 | 0 | 0 | 2,029 | 0.376228 |
ebd099ec453489fa4bd88bc8afe52c94a368779d | 1,862 | py | Python | ReverseInteger/ReverseInteger.py | pauldoust/Competitive-Programming | e824485d0bb3a83b7fba3a80f17639771f32e1e7 | [
"Apache-2.0"
] | null | null | null | ReverseInteger/ReverseInteger.py | pauldoust/Competitive-Programming | e824485d0bb3a83b7fba3a80f17639771f32e1e7 | [
"Apache-2.0"
] | null | null | null | ReverseInteger/ReverseInteger.py | pauldoust/Competitive-Programming | e824485d0bb3a83b7fba3a80f17639771f32e1e7 | [
"Apache-2.0"
] | null | null | null | # https://leetcode.com/problems/reverse-integer/
# Runtime: 32 ms, faster than 96.20% of Python3 online submissions for Reverse Integer.
# Runtime: 36 ms, faster than 84.28% of Python3 online submissions for Reverse Integer.
# Runtime: 44 ms, faster than 22.92% of Python3 online submissions for Reverse Integer.
class ... | 25.506849 | 87 | 0.486574 | 1,446 | 0.776584 | 0 | 0 | 0 | 0 | 0 | 0 | 618 | 0.331901 |
ebd3c4127f7770e12f634b24cbfe903d62dc536d | 57 | py | Python | LUCI/LuciConvenience.py | benjaminvigneron/LUCI | 227bb1e0b87aa06012b2809d9af7767a261e0f00 | [
"MIT"
] | null | null | null | LUCI/LuciConvenience.py | benjaminvigneron/LUCI | 227bb1e0b87aa06012b2809d9af7767a261e0f00 | [
"MIT"
] | null | null | null | LUCI/LuciConvenience.py | benjaminvigneron/LUCI | 227bb1e0b87aa06012b2809d9af7767a261e0f00 | [
"MIT"
] | null | null | null | """
A hodge-podge of convenience functions for luci
"""
| 11.4 | 47 | 0.701754 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.982456 |
ebd48457bf3399a79fee4cd86c9c5e15db08cd7f | 235 | py | Python | Practice/Beginner/Hard Cash(CASH)/solution.py | DipanjanDasIT/CodeChefCodes | f3d6c9ee6598b1c873d614c4aff005c2971a4fc0 | [
"MIT"
] | null | null | null | Practice/Beginner/Hard Cash(CASH)/solution.py | DipanjanDasIT/CodeChefCodes | f3d6c9ee6598b1c873d614c4aff005c2971a4fc0 | [
"MIT"
] | null | null | null | Practice/Beginner/Hard Cash(CASH)/solution.py | DipanjanDasIT/CodeChefCodes | f3d6c9ee6598b1c873d614c4aff005c2971a4fc0 | [
"MIT"
] | null | null | null | testcases = int(input())
for _ in range(testcases):
main_details = list(map(int, input().split()))
coin_details = list(map(lambda x: int(x)%main_details[-1], input().split()))
print(sum(coin_details)%main_details[-1])
| 39.166667 | 81 | 0.659574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ebd4b3b718d780d64a2bf799562bbb822aab0940 | 16,347 | py | Python | testscripts/RDKB/component/WAN_MANAGER/TS_WANMANAGER_DSL_CheckInternetConnectivity_PrimaryWanForDSLAndWANOE.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | testscripts/RDKB/component/WAN_MANAGER/TS_WANMANAGER_DSL_CheckInternetConnectivity_PrimaryWanForDSLAndWANOE.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | testscripts/RDKB/component/WAN_MANAGER/TS_WANMANAGER_DSL_CheckInternetConnectivity_PrimaryWanForDSLAndWANOE.py | rdkcmf/rdkb-tools-tdkb | 9f9c3600cd701d5fc90ac86a6394ebd28d49267e | [
"Apache-2.0"
] | null | null | null | ##########################################################################
# If not stated otherwise in this file or this component's Licenses.txt
# file the following copyright and licenses apply:
#
# Copyright 2021 RDK Management
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... | 53.596721 | 174 | 0.603475 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,891 | 0.482719 |
ebd4fa6e495803588cbdc17f69290991cb8d3593 | 2,409 | py | Python | tests/conftest.py | frnsys/maup | 2cd12184e3a0d60128c4991e7e8eb706e3a227bd | [
"MIT"
] | 50 | 2019-05-10T22:38:14.000Z | 2022-03-17T20:11:43.000Z | tests/conftest.py | frnsys/maup | 2cd12184e3a0d60128c4991e7e8eb706e3a227bd | [
"MIT"
] | 42 | 2019-03-23T13:03:47.000Z | 2022-03-14T22:23:57.000Z | tests/conftest.py | frnsys/maup | 2cd12184e3a0d60128c4991e7e8eb706e3a227bd | [
"MIT"
] | 16 | 2019-03-25T18:03:04.000Z | 2021-09-27T08:16:30.000Z | import geopandas as gp
import pytest
from shapely.geometry import Polygon
import maup
CRS = "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
@pytest.fixture
def crs():
return CRS
@pytest.fixture
def four_square_grid():
"""
b d
a c
"""
a = Polygon([(0, 0), (0, 1), (1, 1), (1, 0)])
b = ... | 23.617647 | 85 | 0.550851 | 0 | 0 | 0 | 0 | 2,229 | 0.92528 | 0 | 0 | 207 | 0.085928 |
ebd5e7cdc22ace82a24160df0b1f3fbcd2c0b44d | 1,389 | py | Python | plot_benchmark.py | 99991/ParallelZipFile | 070e54845ac9c42805c1e211992f26b719ed3920 | [
"MIT"
] | null | null | null | plot_benchmark.py | 99991/ParallelZipFile | 070e54845ac9c42805c1e211992f26b719ed3920 | [
"MIT"
] | null | null | null | plot_benchmark.py | 99991/ParallelZipFile | 070e54845ac9c42805c1e211992f26b719ed3920 | [
"MIT"
] | null | null | null | """
Plot results of benchmark. Need to run benchmark.py first to generate
the file benchmark_results.json.
"""
import json
from collections import defaultdict
import matplotlib.pyplot as plt
def groupby(values, keyfunc):
"""Group values by key returned by keyfunc."""
groups = defaultdict(list)
for value ... | 25.254545 | 82 | 0.62275 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 436 | 0.313895 |
ebd7565d7fb3e2e6e97cd012dbbf6e7433713b29 | 872 | py | Python | tests/test_dedge.py | GiliardGodoi/edgesets | b59a600400972ccc82e5e17f2acbb2b45045b40b | [
"MIT"
] | null | null | null | tests/test_dedge.py | GiliardGodoi/edgesets | b59a600400972ccc82e5e17f2acbb2b45045b40b | [
"MIT"
] | 20 | 2021-11-08T13:02:33.000Z | 2021-11-29T01:03:40.000Z | tests/test_dedge.py | GiliardGodoi/edgesets | b59a600400972ccc82e5e17f2acbb2b45045b40b | [
"MIT"
] | null | null | null | from edgesets import UEdge, DEdge
def test_repr():
e1 = DEdge(7, 8)
text = repr(e1)
assert text == "DEdge(7, 8, weight=1)"
e2 = eval(text)
assert type(e1) == type(e1)
assert e1 == e2
def test_if_directions_are_differents_with_same_nodes():
d1 = DEdge(10, 15)
d2 = DEdge(15... | 24.222222 | 61 | 0.603211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.091743 |
ebd871d4dbf6a21fb3d86e6cb1fedb9b96ed2220 | 1,889 | py | Python | pred.py | amoshyc/tthl-code | d00ba5abd2ade5b55db6a6b95d136041022e3150 | [
"Apache-2.0"
] | null | null | null | pred.py | amoshyc/tthl-code | d00ba5abd2ade5b55db6a6b95d136041022e3150 | [
"Apache-2.0"
] | null | null | null | pred.py | amoshyc/tthl-code | d00ba5abd2ade5b55db6a6b95d136041022e3150 | [
"Apache-2.0"
] | null | null | null | import argparse
from pathlib import Path
import numpy as np
import scipy
import keras
from keras.models import load_model
from moviepy.editor import VideoFileClip, concatenate_videoclips
from tqdm import tqdm
def main():
# yapf: disable
parser = argparse.ArgumentParser(description='Video Highlight')
pa... | 32.568966 | 88 | 0.644256 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 273 | 0.144521 |
ebd878270215dfbcc338d538a43df8bec58e8bb9 | 4,389 | py | Python | blog/views.py | captainxavier/AutoBlog | 44fb23628fe0210a3dcec80b91e1217d27ee9462 | [
"MIT"
] | null | null | null | blog/views.py | captainxavier/AutoBlog | 44fb23628fe0210a3dcec80b91e1217d27ee9462 | [
"MIT"
] | null | null | null | blog/views.py | captainxavier/AutoBlog | 44fb23628fe0210a3dcec80b91e1217d27ee9462 | [
"MIT"
] | null | null | null | from django.shortcuts import render, get_object_or_404
from django.http import HttpResponse, HttpResponseRedirect
from django.utils import timezone
from django.db.models import Count, Q
from django.core.paginator import EmptyPage, PageNotAnInteger, Paginator
from django.contrib.auth import login, authenticate, log... | 33.503817 | 98 | 0.642971 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 491 | 0.111871 |
ebd938bccdfd5e3d285fcfe2b39abb7192868335 | 1,408 | py | Python | data_loader/data_set_loader.py | ys10/WaveRNN | dc4eec65bc1eec59ebc533469d40f072df3a6be6 | [
"MIT"
] | 6 | 2018-11-15T05:48:02.000Z | 2021-06-18T02:22:31.000Z | data_loader/data_set_loader.py | ys10/WaveRNN | dc4eec65bc1eec59ebc533469d40f072df3a6be6 | [
"MIT"
] | null | null | null | data_loader/data_set_loader.py | ys10/WaveRNN | dc4eec65bc1eec59ebc533469d40f072df3a6be6 | [
"MIT"
] | 1 | 2021-04-02T11:53:52.000Z | 2021-04-02T11:53:52.000Z | # coding=utf-8
import tensorflow as tf
class DataSetLoader(object):
def __init__(self, config, generators, default_set_name='train'):
self.config = config
self.generators = generators
self.data_sets = dict()
self.data_set_init_ops = dict()
with tf.variable_scope("data"):
... | 48.551724 | 120 | 0.598011 | 1,366 | 0.97017 | 0 | 0 | 464 | 0.329545 | 0 | 0 | 45 | 0.03196 |
ebda183d9ae687038f19ffe815f5ccbfc5935c5a | 1,323 | py | Python | ssht00ls/classes/connections/__init__.py | vandenberghinc/ssht00ls | e08081773c8da7dfac0764170bfeacb4bf421ec1 | [
"CNRI-Python"
] | 5 | 2021-02-18T17:46:39.000Z | 2021-12-29T15:48:07.000Z | ssht00ls/classes/connections/__init__.py | vandenberghinc/ssht00ls | e08081773c8da7dfac0764170bfeacb4bf421ec1 | [
"CNRI-Python"
] | null | null | null | ssht00ls/classes/connections/__init__.py | vandenberghinc/ssht00ls | e08081773c8da7dfac0764170bfeacb4bf421ec1 | [
"CNRI-Python"
] | 2 | 2021-03-19T14:06:20.000Z | 2021-09-26T14:08:34.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# imports.
from ssht00ls.classes.config import *
from ssht00ls.classes import utils
# the ssh connections object class.
class Connections(Traceback):
def __init__(self):
# docs.
DOCS = {
"module":"ssht00ls.connections",
"initialized":True,
"description"... | 28.76087 | 118 | 0.665911 | 1,100 | 0.831444 | 0 | 0 | 0 | 0 | 0 | 0 | 549 | 0.414966 |
ebdc4515eef225eea20fa462e0ef3055b00b55ae | 193 | py | Python | _solutions/pandas/series/pandas_series_create_even.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null | _solutions/pandas/series/pandas_series_create_even.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null | _solutions/pandas/series/pandas_series_create_even.py | sages-pl/2022-01-pythonsqlalchemy-aptiv | 1d6d856608e9dbe25b139e8968c48b7f46753b84 | [
"MIT"
] | null | null | null |
data = np.arange(0, 20, 2)
result = pd.Series(data)
# Alternative Solution
# s = pd.Series(range(0, 20, 2))
# Alternative Solution
# s = pd.Series([x for x in range(0, 20) if x % 2 == 0])
| 16.083333 | 56 | 0.61658 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.683938 |
ebde515b95808947b4370dd040bc2675c00b8d5a | 907 | py | Python | ycyc/tests/__init__.py | MrLYC/ycyc | 1938493294fbad3a461cc3a752c5385d30a6e51d | [
"MIT"
] | 22 | 2015-07-21T03:15:36.000Z | 2021-02-23T07:58:03.000Z | ycyc/tests/__init__.py | MrLYC/ycyc | 1938493294fbad3a461cc3a752c5385d30a6e51d | [
"MIT"
] | 3 | 2016-03-20T12:06:07.000Z | 2018-01-16T10:34:19.000Z | ycyc/tests/__init__.py | MrLYC/ycyc | 1938493294fbad3a461cc3a752c5385d30a6e51d | [
"MIT"
] | 3 | 2015-05-08T00:55:38.000Z | 2017-02-25T03:30:14.000Z | #!/usr/bin/env python
# encoding: utf-8
from contextlib import contextmanager
import mock
__author__ = 'Liu Yicong'
__email__ = '[email protected]'
@contextmanager
def mock_patches(*patches, **named_patches):
"""
A context manager to help create mock patches.
>>> with mock_patches("package.module.cls"... | 24.513514 | 77 | 0.62183 | 0 | 0 | 736 | 0.811466 | 752 | 0.829107 | 0 | 0 | 301 | 0.331863 |
ebe0baf06bf88a67d2daea2010828c40f054c75a | 558 | py | Python | corehq/apps/data_interfaces/migrations/0016_createscheduleinstanceactiondefinition_specific_start_date.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2020-05-05T13:10:01.000Z | 2020-05-05T13:10:01.000Z | corehq/apps/data_interfaces/migrations/0016_createscheduleinstanceactiondefinition_specific_start_date.py | kkrampa/commcare-hq | d64d7cad98b240325ad669ccc7effb07721b4d44 | [
"BSD-3-Clause"
] | 1 | 2019-12-09T14:00:14.000Z | 2019-12-09T14:00:14.000Z | corehq/apps/data_interfaces/migrations/0016_createscheduleinstanceactiondefinition_specific_start_date.py | MaciejChoromanski/commcare-hq | fd7f65362d56d73b75a2c20d2afeabbc70876867 | [
"BSD-3-Clause"
] | 5 | 2015-11-30T13:12:45.000Z | 2019-07-01T19:27:07.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-03-11 12:37
from __future__ import absolute_import
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('data_interfaces', '0015_automaticupdaterule_locked_f... | 25.363636 | 75 | 0.682796 | 360 | 0.645161 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.349462 |
ebe2b6defd1e57b30e21b97498d0791cda38301d | 353 | py | Python | src/output/console.py | fufuok/PyAgent | f04b0d05e733b9989562934f2cdf1fa7a6af947a | [
"MIT"
] | 2 | 2021-11-19T04:10:18.000Z | 2021-12-01T02:39:56.000Z | src/output/console.py | huyingjun/PyAgent | ff7096634aa8deb617d2fe9d47fd2c6fbf8ff9a4 | [
"MIT"
] | 1 | 2021-12-22T14:12:42.000Z | 2022-02-07T12:44:59.000Z | src/output/console.py | huyingjun/PyAgent | ff7096634aa8deb617d2fe9d47fd2c6fbf8ff9a4 | [
"MIT"
] | 3 | 2021-12-04T02:50:07.000Z | 2021-12-27T03:49:35.000Z | # -*- coding:utf-8 -*-
"""
console.py
~~~~~~~~
数据发布插件 - 输出到控制台
:author: Fufu, 2021/6/7
"""
from . import OutputPlugin
from ..libs.metric import Metric
class Console(OutputPlugin):
"""数据发布 - 输出到控制台"""
name = 'console'
async def write(self, metric: Metric) -> None:
"""写入数据"""
... | 16.809524 | 50 | 0.552408 | 210 | 0.518519 | 0 | 0 | 0 | 0 | 110 | 0.271605 | 201 | 0.496296 |
ebe364266010bc086bf3592d22da99f969271db1 | 699 | py | Python | tests/slack_sdk/web/test_web_client_issue_1049.py | priya1puresoftware/python-slack-sdk | 3503182feaaf4d41b57fd8bf10038ebc99f1f3c7 | [
"MIT"
] | 2,486 | 2016-11-03T14:31:43.000Z | 2020-10-26T23:07:44.000Z | tests/slack_sdk/web/test_web_client_issue_1049.py | priya1puresoftware/python-slack-sdk | 3503182feaaf4d41b57fd8bf10038ebc99f1f3c7 | [
"MIT"
] | 721 | 2016-11-03T21:26:56.000Z | 2020-10-26T12:41:29.000Z | tests/slack_sdk/web/test_web_client_issue_1049.py | priya1puresoftware/python-slack-sdk | 3503182feaaf4d41b57fd8bf10038ebc99f1f3c7 | [
"MIT"
] | 627 | 2016-11-02T19:04:19.000Z | 2020-10-25T19:21:13.000Z | import json
import unittest
from slack_sdk.web import WebClient
from tests.slack_sdk.web.mock_web_api_server import (
setup_mock_web_api_server,
cleanup_mock_web_api_server,
)
class TestWebClient_Issue_1049(unittest.TestCase):
def setUp(self):
setup_mock_web_api_server(self)
def tearDown(sel... | 25.888889 | 76 | 0.688126 | 511 | 0.731044 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0.094421 |
ebe421e20d63c5797e08d5c60d06d2e3c0b635d7 | 734 | py | Python | netforce_service/netforce_service/models/task_list.py | nfco/netforce | 35252eecd0a6633ab9d82162e9e3ff57d4da029a | [
"MIT"
] | 27 | 2015-09-30T23:53:30.000Z | 2021-06-07T04:56:25.000Z | netforce_service/netforce_service/models/task_list.py | nfco/netforce | 35252eecd0a6633ab9d82162e9e3ff57d4da029a | [
"MIT"
] | 191 | 2015-10-08T11:46:30.000Z | 2019-11-14T02:24:36.000Z | netforce_service/netforce_service/models/task_list.py | nfco/netforce | 35252eecd0a6633ab9d82162e9e3ff57d4da029a | [
"MIT"
] | 32 | 2015-10-01T03:59:43.000Z | 2022-01-13T07:31:05.000Z | from netforce.model import Model, fields, get_model, clear_cache
from netforce.database import get_connection
from datetime import *
import time
from netforce import access
class TaskList(Model):
_name = "task.list"
_string = "Task List"
_fields = {
"name": fields.Char("Name",required=True),
... | 30.583333 | 73 | 0.667575 | 537 | 0.731608 | 0 | 0 | 0 | 0 | 0 | 0 | 221 | 0.30109 |
ebe505828b5e47c65eb660e7346462d4ff167740 | 696 | py | Python | startpara.py | bhsnsrma/Cisco_Python | e92e272d8335f6b7fef27466a085430dd1694396 | [
"Apache-2.0"
] | null | null | null | startpara.py | bhsnsrma/Cisco_Python | e92e272d8335f6b7fef27466a085430dd1694396 | [
"Apache-2.0"
] | null | null | null | startpara.py | bhsnsrma/Cisco_Python | e92e272d8335f6b7fef27466a085430dd1694396 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
import paramiko,time
#using as ssh client
client=paramiko.SSHClient()
#auto adjut host kue verification with yes or no
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
#time to connect to remote Cisco IOS
addr=input("Enter your Router IP :")
u='root'
p='cisco'
#connected with SSh sessio... | 27.84 | 81 | 0.787356 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 346 | 0.497126 |
ebe611c4dd602efaddd3352116b777a3b429c7f6 | 16,830 | py | Python | sdkcore/SdkCoreTesting/scripts/arsdkgenobjc.py | papachuj/groundsdk-ios | f205f75b11a57f49b39ee558b2e8e39f59a15963 | [
"BSD-3-Clause"
] | 2 | 2020-03-30T00:06:43.000Z | 2021-07-18T18:07:15.000Z | sdkcore/SdkCoreTesting/scripts/arsdkgenobjc.py | papachuj/groundsdk-ios | f205f75b11a57f49b39ee558b2e8e39f59a15963 | [
"BSD-3-Clause"
] | null | null | null | sdkcore/SdkCoreTesting/scripts/arsdkgenobjc.py | papachuj/groundsdk-ios | f205f75b11a57f49b39ee558b2e8e39f59a15963 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import sys, os
import arsdkparser
#===============================================================================
class Writer(object):
def __init__(self, fileobj):
self.fileobj = fileobj
def write(self, fmt, *args):
if args:
self.fileobj.write(fmt % (args)... | 39.048724 | 128 | 0.57148 | 236 | 0.014023 | 0 | 0 | 0 | 0 | 0 | 0 | 3,697 | 0.219667 |
ebe8666cf6e33ea8f8a62d695ff363e1865d7f05 | 4,998 | py | Python | game.py | TheAmmiR/snake-game | 7a95a36c1ef7c0e9064bad3976f14b25bdb19f2a | [
"MIT"
] | null | null | null | game.py | TheAmmiR/snake-game | 7a95a36c1ef7c0e9064bad3976f14b25bdb19f2a | [
"MIT"
] | null | null | null | game.py | TheAmmiR/snake-game | 7a95a36c1ef7c0e9064bad3976f14b25bdb19f2a | [
"MIT"
] | null | null | null | import numpy
import pygame
import random
from pygame import gfxdraw
pygame.init()
config_instance = open('settings.txt', 'r', encoding = 'utf-8')
class Settings:
def __init__(self, settings: dict):
def str_to_rgb(sequence):
r, g, b = sequence.split(' ')
r, g, b = int(r), int(g), int(b)
if (any([r not in r... | 33.543624 | 146 | 0.652461 | 4,529 | 0.906162 | 0 | 0 | 0 | 0 | 0 | 0 | 570 | 0.114046 |
ccd7c7cddab93c97ea1df7fdefa52d6f4a71efc0 | 484 | py | Python | static/python/demo.py | Nota-Bene/Nota-Bene.github.io | 57c0a25176627263bb9403e8f660d36cffa9882b | [
"MIT"
] | null | null | null | static/python/demo.py | Nota-Bene/Nota-Bene.github.io | 57c0a25176627263bb9403e8f660d36cffa9882b | [
"MIT"
] | null | null | null | static/python/demo.py | Nota-Bene/Nota-Bene.github.io | 57c0a25176627263bb9403e8f660d36cffa9882b | [
"MIT"
] | null | null | null | import time
import random
def parse(input):
tokens = input.split(" ")
parsedTokens = []
time.sleep(5)
for i in range(200000):
test = random.randint(1, 8) + random.randint(-4, 90)
for token in tokens:
if token == "":
continue
parsedTokens.append({
"text": token,
"lemma": token,
... | 23.047619 | 64 | 0.60124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.25 |
ccdb25e847708f6452a1e362c123c06d0c2c27e2 | 2,961 | py | Python | pytorch/torchnet.py | sjliu68/Remote-Sensing-Image-Classification | 9bd5ec28380961c9e66288dd75c998425622043e | [
"MIT"
] | 32 | 2020-09-10T12:54:09.000Z | 2022-03-21T08:55:29.000Z | pytorch/torchnet.py | sjliu68/Remote-Sensing-Image-Classification | 9bd5ec28380961c9e66288dd75c998425622043e | [
"MIT"
] | null | null | null | pytorch/torchnet.py | sjliu68/Remote-Sensing-Image-Classification | 9bd5ec28380961c9e66288dd75c998425622043e | [
"MIT"
] | 19 | 2020-08-10T10:16:47.000Z | 2022-02-17T06:52:14.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon Jan 6 10:07:13 2020
@author: [email protected]
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
class wcrn(nn.Module):
def __init__(self, num_classes=9):
super(wcrn, self).__init__()
self.conv1a = nn.Conv2d(103,64,... | 32.538462 | 83 | 0.55049 | 2,774 | 0.936846 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.077001 |
ccdce89434f75942295d9616fd82c9bb36f9f529 | 27 | py | Python | src/lib/Bcfg2/Server/Reports/reports/__init__.py | amplify-education/bcfg2 | 02d7f574babfeb2da99e2aad3a92b4e8d6494f07 | [
"mpich2"
] | null | null | null | src/lib/Bcfg2/Server/Reports/reports/__init__.py | amplify-education/bcfg2 | 02d7f574babfeb2da99e2aad3a92b4e8d6494f07 | [
"mpich2"
] | null | null | null | src/lib/Bcfg2/Server/Reports/reports/__init__.py | amplify-education/bcfg2 | 02d7f574babfeb2da99e2aad3a92b4e8d6494f07 | [
"mpich2"
] | null | null | null | __all__ = ['templatetags']
| 13.5 | 26 | 0.703704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.518519 |
ccdd11c45e65428dfc4eae76238a33996803a95a | 12,491 | py | Python | py/manipulation/props/parametric_object/parametric_object_test.py | LaudateCorpus1/dm_robotics | 647bc810788c74972c1684a8d2e4d2dfd2791485 | [
"Apache-2.0"
] | null | null | null | py/manipulation/props/parametric_object/parametric_object_test.py | LaudateCorpus1/dm_robotics | 647bc810788c74972c1684a8d2e4d2dfd2791485 | [
"Apache-2.0"
] | 1 | 2021-10-05T16:07:56.000Z | 2021-10-05T16:07:56.000Z | py/manipulation/props/parametric_object/parametric_object_test.py | LaudateCorpus1/dm_robotics | 647bc810788c74972c1684a8d2e4d2dfd2791485 | [
"Apache-2.0"
] | null | null | null | # 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... | 41.636667 | 80 | 0.629173 | 11,655 | 0.933072 | 0 | 0 | 0 | 0 | 0 | 0 | 2,269 | 0.181651 |
ccdd4e7946bbbb66bc7ecddf26b85179c631159d | 1,012 | py | Python | rpmreq/actions.py | softwarefactory-project/rpmreq | b9b30cf6a184929db23ac86c8cc037592ee8b6be | [
"Apache-2.0"
] | null | null | null | rpmreq/actions.py | softwarefactory-project/rpmreq | b9b30cf6a184929db23ac86c8cc037592ee8b6be | [
"Apache-2.0"
] | null | null | null | rpmreq/actions.py | softwarefactory-project/rpmreq | b9b30cf6a184929db23ac86c8cc037592ee8b6be | [
"Apache-2.0"
] | 1 | 2019-03-10T10:07:04.000Z | 2019-03-10T10:07:04.000Z | import hawkey
import logging
from rpmreq import graph
from rpmreq import query
log = logging.getLogger(__name__)
def build_requires(specs, repos, base_repos=None,
out_data=None, out_image=None,
cache_ttl=3600):
dep_graph = graph.build_requires_graph(
specs=specs, r... | 27.351351 | 57 | 0.666008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 232 | 0.229249 |
ccde37610c8f0bf0da8d0c2c4fba8732e91c7b0e | 1,033 | py | Python | app/utils/path_utils.py | Tim-ty-tang/mlflow-fastapi-deploy | c8884a0462fc9f1ce3aa47f9d000af2bffa82123 | [
"MIT"
] | null | null | null | app/utils/path_utils.py | Tim-ty-tang/mlflow-fastapi-deploy | c8884a0462fc9f1ce3aa47f9d000af2bffa82123 | [
"MIT"
] | null | null | null | app/utils/path_utils.py | Tim-ty-tang/mlflow-fastapi-deploy | c8884a0462fc9f1ce3aa47f9d000af2bffa82123 | [
"MIT"
] | null | null | null | from mlflow.tracking import MlflowClient
from urllib.parse import urlparse
def get_prod_path_mlflow_model_mlflow_query(model_name, version, new_bucket, new_path):
client = MlflowClient()
artifact_path_original = None
for mv in client.search_model_versions(f"name='{model_name}'"):
if mv.version == ... | 38.259259 | 110 | 0.693127 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.229429 |
ccde416df2e474e2d91671ed935f8eaa2f12d8eb | 5,350 | py | Python | 25h8_service.py | openprocurement/robot_tests.broker.25h8 | 619ffd180a8f051ef46d62767d54f4796baa122c | [
"Apache-2.0"
] | null | null | null | 25h8_service.py | openprocurement/robot_tests.broker.25h8 | 619ffd180a8f051ef46d62767d54f4796baa122c | [
"Apache-2.0"
] | 1 | 2017-12-18T13:44:01.000Z | 2017-12-18T13:44:01.000Z | 25h8_service.py | openprocurement/robot_tests.broker.25h8 | 619ffd180a8f051ef46d62767d54f4796baa122c | [
"Apache-2.0"
] | 3 | 2018-06-11T10:30:05.000Z | 2019-08-07T07:55:40.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from datetime import datetime, timedelta
from iso8601 import parse_date
from pytz import timezone
import urllib
import json
import os
def convert_time(date):
date = datetime.strptime(date, "%d/%m/%Y %H:%M:%S")
return timezone('Europe/Kiev').localize(date).strftime('%... | 37.152778 | 114 | 0.629533 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,249 | 0.395672 |
ccdea5fc87e2dce7da82287cb335d1d1997b89b2 | 125 | py | Python | barbearia/email_config.py | FabioMarquesArao/OPE_BARBEARIA | 867e7d4b67d9d70b6056b2d817cd3d2561ca7131 | [
"MIT"
] | null | null | null | barbearia/email_config.py | FabioMarquesArao/OPE_BARBEARIA | 867e7d4b67d9d70b6056b2d817cd3d2561ca7131 | [
"MIT"
] | null | null | null | barbearia/email_config.py | FabioMarquesArao/OPE_BARBEARIA | 867e7d4b67d9d70b6056b2d817cd3d2561ca7131 | [
"MIT"
] | null | null | null | EMAIL_ADDRESS = '[email protected]'
EMAIL_PASSWORD = 'barbeariadomfigaro'
HEROKU_PASSWORD = "Barbeariadomfigaro!" | 31.25 | 46 | 0.832 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.568 |
ccdfefff2e5b0b2164f247904feff97a33210609 | 47 | py | Python | src/week_5/evaluation/__init__.py | Gost2017/text-analytics-lecture | a51976ba7cf7a992af4c0fba52dc9eef57a8155b | [
"MIT"
] | 2 | 2018-03-05T20:45:11.000Z | 2019-03-17T02:59:57.000Z | src/week_5/evaluation/__init__.py | Gost2017/text-analytics-lecture | a51976ba7cf7a992af4c0fba52dc9eef57a8155b | [
"MIT"
] | null | null | null | src/week_5/evaluation/__init__.py | Gost2017/text-analytics-lecture | a51976ba7cf7a992af4c0fba52dc9eef57a8155b | [
"MIT"
] | 8 | 2018-03-02T14:12:35.000Z | 2018-04-21T10:31:25.000Z | '''
Created on 15/03/2018
@author: pelejaf
''' | 9.4 | 21 | 0.638298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 1 |
cce06a46f4f819aee94f70073960cb4bc2718754 | 76 | py | Python | config/prod.py | Cjwpython/WordlessBook | 3426ccf3ab2f8848caef98bbc7635407774d32b2 | [
"MIT"
] | 2 | 2021-05-19T10:53:25.000Z | 2022-01-20T01:20:08.000Z | config/prod.py | Cjwpython/WordlessBook | 3426ccf3ab2f8848caef98bbc7635407774d32b2 | [
"MIT"
] | null | null | null | config/prod.py | Cjwpython/WordlessBook | 3426ccf3ab2f8848caef98bbc7635407774d32b2 | [
"MIT"
] | 1 | 2022-01-20T01:19:56.000Z | 2022-01-20T01:19:56.000Z | # coding: utf-8
from config.base import *
DEBUG = False
SERVER_PORT = 8899
| 12.666667 | 25 | 0.723684 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0.197368 |
cce181f9f38d4d3c462cfc4fd68ac4c8d8aebe76 | 6,574 | py | Python | connect_four.py | seanstappas/dynamic-connect-4 | f6106f71ac8779513cd80a2f46397bb778e21018 | [
"MIT"
] | 1 | 2020-08-21T03:05:08.000Z | 2020-08-21T03:05:08.000Z | connect_four.py | seanstappas/dynamic-connect-4 | f6106f71ac8779513cd80a2f46397bb778e21018 | [
"MIT"
] | null | null | null | connect_four.py | seanstappas/dynamic-connect-4 | f6106f71ac8779513cd80a2f46397bb778e21018 | [
"MIT"
] | null | null | null | from __future__ import print_function
NUM_ROWS = 7
NUM_COLS = 7
DIRECTIONS = ('E', 'W', 'N', 'S')
MOVEMENT_DIFFS = {
'N': (0, -1),
'S': (0, 1),
'E': (1, 0),
'W': (-1, 0)
}
X_MOVEMENT_DIFFS = {
'N': 0,
'S': 0,
'E': 1,
'W': -1
}
Y_MOVEMENT_DIFFS = {
'N': -1,
'S': 1,
'E': 0,
... | 29.479821 | 119 | 0.605872 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,337 | 0.507606 |
cce3ac8194087917625821b84302b29b6337c46a | 419 | py | Python | web/src/schemas/database.py | disteLLL/saltyboy | d1c777c31d82f3b6e2126d8170446d9b028c37ab | [
"MIT"
] | null | null | null | web/src/schemas/database.py | disteLLL/saltyboy | d1c777c31d82f3b6e2126d8170446d9b028c37ab | [
"MIT"
] | null | null | null | web/src/schemas/database.py | disteLLL/saltyboy | d1c777c31d82f3b6e2126d8170446d9b028c37ab | [
"MIT"
] | null | null | null | from dataclasses import dataclass
from typing import Dict
from dataclasses_jsonschema import JsonSchemaMixin
@dataclass
class DatabaseStatsBreakdown(JsonSchemaMixin):
"""Database stats broken down by tier"""
breakdown: Dict[str, int]
total: int
@dataclass
class DatabaseStatsSchema(JsonSchemaMixin):
... | 22.052632 | 50 | 0.78043 | 281 | 0.670644 | 0 | 0 | 303 | 0.72315 | 0 | 0 | 64 | 0.152745 |
cce3bf69f8b9a7979f41b539d693ed801301a438 | 3,781 | py | Python | pyampute/tests/test_mapping.py | RianneSchouten/pyampute | 98de0d5591546f958b0106217f60df92dc00fbb9 | [
"BSD-3-Clause"
] | 3 | 2022-02-14T02:02:23.000Z | 2022-02-20T09:52:41.000Z | pyampute/tests/test_mapping.py | flacle/pyampute | 8785f62c52a762dfc3113abe3610ba4893ef5f4b | [
"BSD-3-Clause"
] | 24 | 2022-01-26T15:42:13.000Z | 2022-03-12T15:49:56.000Z | pyampute/tests/test_mapping.py | flacle/pyampute | 8785f62c52a762dfc3113abe3610ba4893ef5f4b | [
"BSD-3-Clause"
] | 1 | 2022-02-15T19:15:42.000Z | 2022-02-15T19:15:42.000Z | import numpy as np
import pandas as pd
import unittest
from pyampute.ampute import MultivariateAmputation
from pyampute.exploration.md_patterns import mdPatterns
class TestMapping(unittest.TestCase):
'''
This class tests the example code in the blogpost "A mapping from R-function ampute to pyampute"
'''
... | 31.773109 | 100 | 0.539275 | 3,566 | 0.943137 | 0 | 0 | 0 | 0 | 0 | 0 | 666 | 0.176144 |
cce820db4737d5f4fc516df5c5d36a6fb126649f | 1,560 | py | Python | classification.py | alisher0717/one-shot-learning | b1a0814df045e4a9c3bf8e0d7cbc7a0979e9ceb0 | [
"MIT"
] | null | null | null | classification.py | alisher0717/one-shot-learning | b1a0814df045e4a9c3bf8e0d7cbc7a0979e9ceb0 | [
"MIT"
] | null | null | null | classification.py | alisher0717/one-shot-learning | b1a0814df045e4a9c3bf8e0d7cbc7a0979e9ceb0 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
import numpy as np
import random
import cv2
from keras.utils import to_categorical
from keras.models import Model
from keras.layers import Dropout, Lambda, Dense, Conv2D, Flatten, Input, MaxPooling2D
from keras.optimizers import RMSprop
from ... | 38.04878 | 104 | 0.688462 | 1,165 | 0.746795 | 0 | 0 | 0 | 0 | 0 | 0 | 69 | 0.044231 |
cce86a805da411d647ff0f543066e46f420f6023 | 596 | py | Python | setup.py | holtrop/simple-svn-browser | 62641493b95535bf0efb9855fec3dd496b37764e | [
"Zlib"
] | null | null | null | setup.py | holtrop/simple-svn-browser | 62641493b95535bf0efb9855fec3dd496b37764e | [
"Zlib"
] | null | null | null | setup.py | holtrop/simple-svn-browser | 62641493b95535bf0efb9855fec3dd496b37764e | [
"Zlib"
] | null | null | null | import sys
if sys.version_info < (3, 5):
print("Python 3.5 is required for this package")
sys.exit(1)
from setuptools import setup
setup(name = "simplesvnbrowser",
version = "0.0.1",
description = "A simple subversion repository browser application",
url = "https://github.com/holtrop/simple-... | 29.8 | 73 | 0.634228 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 265 | 0.444631 |
cce90a7d4c65cdb80621e7e28495129d068861f2 | 2,092 | py | Python | Synchro-Update-Vols.py | Apoorb/HCS_Synchro-Reader | d89428069584f420d584e2011a5cf21cd0a51f8b | [
"MIT"
] | null | null | null | Synchro-Update-Vols.py | Apoorb/HCS_Synchro-Reader | d89428069584f420d584e2011a5cf21cd0a51f8b | [
"MIT"
] | null | null | null | Synchro-Update-Vols.py | Apoorb/HCS_Synchro-Reader | d89428069584f420d584e2011a5cf21cd0a51f8b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Oct 30 10:02:36 2019
@author: abibeka
Purpose: Batch update synchro volumes
"""
# 0.0 Housekeeping. Clear variable space
#******************************************************************************************
from IPython import get_ipython #run magic commands
ipython =... | 31.223881 | 110 | 0.663002 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 790 | 0.377629 |
ccea292c2e611183f7753e3277974ac6da80216f | 5,695 | py | Python | matplotlib.indigoPlugin/Contents/Server Plugin/chart_multiline.py | DaveL17/matplotlib | 857daf4222390d021defb87b57c3360fa12af5ab | [
"MIT"
] | 4 | 2017-08-27T16:53:56.000Z | 2022-03-27T10:48:02.000Z | matplotlib.indigoPlugin/Contents/Server Plugin/chart_multiline.py | DaveL17/matplotlib | 857daf4222390d021defb87b57c3360fa12af5ab | [
"MIT"
] | 3 | 2019-01-30T20:04:00.000Z | 2021-06-21T02:11:17.000Z | matplotlib.indigoPlugin/Contents/Server Plugin/chart_multiline.py | DaveL17/matplotlib | 857daf4222390d021defb87b57c3360fa12af5ab | [
"MIT"
] | null | null | null | #! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Creates the multiline text charts
Given the unique nature of multiline text charts, we use a separate method
to construct them.
-----
"""
# Built-in Modules
import pickle
import sys
import textwrap
import traceback
# Third-party Modules
# Note the order and structu... | 33.5 | 114 | 0.545391 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,155 | 0.378402 |
cceb89993da7a1b69dbd4927d78012815ff5b4de | 1,814 | py | Python | sdks/apigw-manager/tests/apigw_manager/apigw/test_command.py | IMBlues/bkpaas-python-sdk | a87bee3d26f0ddeac124c7a4679cd3eff4abb8fc | [
"MIT"
] | 17 | 2021-08-03T03:15:35.000Z | 2022-03-18T06:10:04.000Z | sdks/apigw-manager/tests/apigw_manager/apigw/test_command.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | 7 | 2021-08-03T07:10:12.000Z | 2022-03-23T04:47:22.000Z | sdks/apigw-manager/tests/apigw_manager/apigw/test_command.py | piglei/bkpaas-python-sdk | 3dfea8be5702ccea1228691c6c1c3e87a27238d2 | [
"MIT"
] | 9 | 2021-08-03T03:20:36.000Z | 2022-03-08T13:47:50.000Z | # -*- coding: utf-8 -*-
"""
* TencentBlueKing is pleased to support the open source community by making 蓝鲸智云-蓝鲸 PaaS 平台(BlueKing-PaaS) available.
* Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
* Licensed under the MIT License (the "License"); you may not use this file except in co... | 37.791667 | 118 | 0.711136 | 1,009 | 0.551366 | 0 | 0 | 211 | 0.115301 | 0 | 0 | 805 | 0.439891 |
ccece4c2f4cefc9d065c0f4184c45e006ab941e8 | 1,342 | py | Python | tests/test_common.py | tussedrotten/pylie | df34b820b9d9273bc9c4287e559e5d5837faf794 | [
"BSD-3-Clause"
] | 6 | 2020-09-25T07:38:00.000Z | 2022-03-11T09:09:22.000Z | tests/test_common.py | tussedrotten/pylie | df34b820b9d9273bc9c4287e559e5d5837faf794 | [
"BSD-3-Clause"
] | 1 | 2020-10-29T08:39:34.000Z | 2021-02-09T14:07:09.000Z | tests/test_common.py | tussedrotten/pylie | df34b820b9d9273bc9c4287e559e5d5837faf794 | [
"BSD-3-Clause"
] | 1 | 2020-11-21T12:33:44.000Z | 2020-11-21T12:33:44.000Z | from pylie.common import *
from pylie import SO3
def test_to_rotation_matrix_results_in_valid_rotation():
# Test 2x2 matrix.
A = np.random.rand(2, 2)
R = to_rotation_matrix(A)
np.testing.assert_almost_equal(R @ R.T, np.identity(2), 14)
np.testing.assert_almost_equal(np.linalg.det(R), 1, 14)
#... | 29.822222 | 63 | 0.688525 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 290 | 0.216095 |
ccedbc549ffc192d24b74e12a04695a4d740a2b9 | 1,409 | py | Python | sources/base.py | chenders/hours | 878e0fa57ad4810851fd2bab529e7e1525cf9fbb | [
"MIT"
] | null | null | null | sources/base.py | chenders/hours | 878e0fa57ad4810851fd2bab529e7e1525cf9fbb | [
"MIT"
] | 6 | 2015-01-28T00:48:39.000Z | 2015-01-28T00:51:48.000Z | sources/base.py | chenders/hours | 878e0fa57ad4810851fd2bab529e7e1525cf9fbb | [
"MIT"
] | null | null | null | import pytz
from datetime import timedelta
from dateutil import parser
from django.utils.text import Truncator
from django.db import IntegrityError
from core.models import Data
class HoursDataSource(object):
def __init__(self, start_date, end_date):
self.entries = []
self.start_date = start_date
... | 31.311111 | 76 | 0.648687 | 1,229 | 0.87225 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.019872 |
ccede3910d44ac17adace50d3005cb0696103c2a | 398 | py | Python | roadmaps/signal_listeners.py | adambober/roadmap_builder | 6d48fc4ff65de0bb667f2495004d55f6398b5536 | [
"MIT"
] | 3 | 2021-12-04T00:25:34.000Z | 2022-03-20T17:33:52.000Z | roadmaps/signal_listeners.py | adambober/roadmap_builder | 6d48fc4ff65de0bb667f2495004d55f6398b5536 | [
"MIT"
] | null | null | null | roadmaps/signal_listeners.py | adambober/roadmap_builder | 6d48fc4ff65de0bb667f2495004d55f6398b5536 | [
"MIT"
] | null | null | null | from django.db.models.signals import post_save
from django.dispatch import receiver
from roadmaps.models import RoadmapNode
from roadmaps.services.progress import ProgressPropagator
@receiver(post_save, sender=RoadmapNode)
def propagate_completion_to_descendant_nodes(sender, **kwargs):
roadmap: RoadmapNode = kwa... | 33.166667 | 63 | 0.836683 | 0 | 0 | 0 | 0 | 212 | 0.532663 | 0 | 0 | 10 | 0.025126 |
ccf0191c3e20264408fdd3e37fe77537c8aef935 | 7,725 | py | Python | tests/datastructures_tests/intensity_data_test.py | czbiohub/reconstruct-order | e729ae3871aea0a5ec2d42744a9448c7f0a93037 | [
"Unlicense"
] | 6 | 2019-10-30T23:00:01.000Z | 2021-03-02T19:09:07.000Z | tests/datastructures_tests/intensity_data_test.py | czbiohub/ReconstructOrder | e729ae3871aea0a5ec2d42744a9448c7f0a93037 | [
"Unlicense"
] | 14 | 2019-07-08T22:51:29.000Z | 2019-07-13T15:44:01.000Z | tests/datastructures_tests/intensity_data_test.py | mehta-lab/reconstruct-order | e729ae3871aea0a5ec2d42744a9448c7f0a93037 | [
"Unlicense"
] | 2 | 2020-05-02T23:28:36.000Z | 2020-07-16T23:46:46.000Z | import numpy as np
import pytest
from numpy.testing import assert_array_equal
from ReconstructOrder.datastructures.intensity_data import IntensityData
# ==== test basic construction =====
def test_basic_constructor_nparray():
"""
test assignment using numpy arrays
"""
int_data = IntensityData()
... | 24.759615 | 77 | 0.655016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,446 | 0.187184 |
ccf118cf4e661c54ae6e3a8fa5192d55fe0bbd47 | 1,722 | py | Python | configs/mario_pg_config.py | Shiien/verify_rl_torch | 45866609ac55fcf99aaaa89df94573acf35580d2 | [
"MIT"
] | 1 | 2022-03-22T14:59:01.000Z | 2022-03-22T14:59:01.000Z | configs/mario_pg_config.py | Shiien/verify_rl_torch | 45866609ac55fcf99aaaa89df94573acf35580d2 | [
"MIT"
] | null | null | null | configs/mario_pg_config.py | Shiien/verify_rl_torch | 45866609ac55fcf99aaaa89df94573acf35580d2 | [
"MIT"
] | null | null | null | import torch
class MarioConfig:
def __init__(self):
# hyper config
self.max_num_gpus = 1
self.num_workers = 32
self.discount = 0.999
self.observation_space = (84, 84, 3)
self.action_space = 256 + 20 + 8
import os
import datetime
self.results... | 43.05 | 119 | 0.624855 | 1,706 | 0.990708 | 0 | 0 | 0 | 0 | 0 | 0 | 655 | 0.380372 |