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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ae1ad8c506c36a888f234786efecf582422e3003 | 35 | py | Python | src/artifice/scraper/supervisor/__init__.py | artifice-project/artifice-scraper | f224a0da22162fd479d6b9f9095ff5cae4723716 | [
"MIT"
] | null | null | null | src/artifice/scraper/supervisor/__init__.py | artifice-project/artifice-scraper | f224a0da22162fd479d6b9f9095ff5cae4723716 | [
"MIT"
] | 5 | 2019-09-18T19:17:14.000Z | 2021-03-20T01:46:06.000Z | src/artifice/scraper/supervisor/__init__.py | artifice-project/artifice-scraper | f224a0da22162fd479d6b9f9095ff5cae4723716 | [
"MIT"
] | null | null | null | from .supervisor import Supervisor
| 17.5 | 34 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae1b1c2f48b9a90d658a39990474e0ffceef271d | 366 | py | Python | Entradas/migrations/0012_auto_20200521_1931.py | ToniIvars/Blog | c2d1674c2c1fdf51749f4b014795b507ed93b45e | [
"MIT"
] | null | null | null | Entradas/migrations/0012_auto_20200521_1931.py | ToniIvars/Blog | c2d1674c2c1fdf51749f4b014795b507ed93b45e | [
"MIT"
] | 4 | 2021-03-30T13:26:38.000Z | 2021-06-10T19:20:56.000Z | Entradas/migrations/0012_auto_20200521_1931.py | ToniIvars/Blog | c2d1674c2c1fdf51749f4b014795b507ed93b45e | [
"MIT"
] | null | null | null | # Generated by Django 3.0.5 on 2020-05-21 17:31
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Entradas', '0011_comentarios'),
]
operations = [
migrations.RenameField(
model_name='comentarios',
old_name='comentario',
... | 19.263158 | 47 | 0.587432 | 281 | 0.76776 | 0 | 0 | 0 | 0 | 0 | 0 | 108 | 0.295082 |
ae1dba2c9332b1aaf3dca98391c5242cc59d4eab | 322 | py | Python | jd/api/rest/ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest.py | jof2jc/jd | 691bf22c68ed88fb3fb32bfb43dd6da75024994a | [
"MIT"
] | null | null | null | jd/api/rest/ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest.py | jof2jc/jd | 691bf22c68ed88fb3fb32bfb43dd6da75024994a | [
"MIT"
] | null | null | null | jd/api/rest/ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest.py | jof2jc/jd | 691bf22c68ed88fb3fb32bfb43dd6da75024994a | [
"MIT"
] | null | null | null | from jd.api.base import RestApi
class ComJdQlBasicWsGlscGlscBasicSecondaryWSGetAssortByFidRequest(RestApi):
def __init__(self,domain,port=80):
RestApi.__init__(self,domain, port)
self.assFid = None
def getapiname(self):
return 'jingdong.com.jd.ql.basic.ws.glsc.GlscBasicSecondaryWS.getAssortByFid'
... | 20.125 | 80 | 0.776398 | 279 | 0.86646 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.217391 |
ae209fc837cb7fa92d358e927f5a60ae96f43be3 | 682 | py | Python | tensorflow_gnn/tools/generate_training_data_test.py | mattdangerw/gnn | f39d3ea0d8fc6e51cf58814873fc1502c12554ae | [
"Apache-2.0"
] | 611 | 2021-11-18T06:04:10.000Z | 2022-03-29T11:46:42.000Z | tensorflow_gnn/tools/generate_training_data_test.py | mattdangerw/gnn | f39d3ea0d8fc6e51cf58814873fc1502c12554ae | [
"Apache-2.0"
] | 25 | 2021-11-18T17:21:12.000Z | 2022-03-31T06:36:55.000Z | tensorflow_gnn/tools/generate_training_data_test.py | mattdangerw/gnn | f39d3ea0d8fc6e51cf58814873fc1502c12554ae | [
"Apache-2.0"
] | 52 | 2021-11-18T23:12:30.000Z | 2022-03-27T06:31:08.000Z | """Unit tests for generate training data test."""
from os import path
from absl import flags
import tensorflow as tf
from tensorflow_gnn.tools import generate_training_data
from tensorflow_gnn.utils import test_utils
FLAGS = flags.FLAGS
class GenerateDataTest(tf.test.TestCase):
def test_generate_training_data(... | 26.230769 | 76 | 0.781525 | 392 | 0.57478 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0.173021 |
ae2166a391abaacff03859c883ab005463fa8d39 | 561 | py | Python | vsenvs.py | KaoruShiga/geister_rl | a0dbf6bd7f79b0366727664da6d9f1cf3060190e | [
"MIT"
] | 8 | 2021-03-12T00:06:44.000Z | 2022-01-15T20:09:51.000Z | vsenvs.py | KaoruShiga/geister_rl | a0dbf6bd7f79b0366727664da6d9f1cf3060190e | [
"MIT"
] | null | null | null | vsenvs.py | KaoruShiga/geister_rl | a0dbf6bd7f79b0366727664da6d9f1cf3060190e | [
"MIT"
] | 1 | 2021-10-04T07:42:01.000Z | 2021-10-04T07:42:01.000Z | import random as rnd
import numpy as np
from random_agent import RandomAgent
from geister2 import Geister2
from vsenv import VsEnv
class VsEnvs(VsEnv):
"""複数のエージェントからランダムに一つ使うやつ"""
# Resetting
def on_episode_begin(self, init_red0):
self._opponent = rnd.choice(self._opponents)
return super(... | 29.526316 | 67 | 0.716578 | 471 | 0.778512 | 0 | 0 | 0 | 0 | 0 | 0 | 83 | 0.13719 |
ae219f0c0bca31c2d0339c1392885c6f7d746211 | 2,007 | py | Python | src/util/utils.py | purpleposeidon/texture-atlas-generator | 68864bf42a8bb38b4cdbd883f776b32816084c8e | [
"Unlicense",
"MIT"
] | null | null | null | src/util/utils.py | purpleposeidon/texture-atlas-generator | 68864bf42a8bb38b4cdbd883f776b32816084c8e | [
"Unlicense",
"MIT"
] | null | null | null | src/util/utils.py | purpleposeidon/texture-atlas-generator | 68864bf42a8bb38b4cdbd883f776b32816084c8e | [
"Unlicense",
"MIT"
] | null | null | null | import os.path
import shutil
from data_parsers.json_parser import JsonParser
from data_parsers.xml_parser import XmlParser
from data_parsers.parser import ParserError
from packing_algorithms.ratcliff.texture_packer_ratcliff import TexturePackerRatcliff
from packing_algorithms.maxrects.texture_packer_maxrects import Te... | 34.016949 | 93 | 0.757349 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 209 | 0.104136 |
ae21aa10b6eac30d1836dbd0c8245d129f6fe3ff | 1,038 | py | Python | myslice/web/rest/confirm.py | loicbaron/myslice2 | 32af9462cc9e5654a6e3036978ae74b0a03a2698 | [
"MIT"
] | null | null | null | myslice/web/rest/confirm.py | loicbaron/myslice2 | 32af9462cc9e5654a6e3036978ae74b0a03a2698 | [
"MIT"
] | 1 | 2020-06-02T12:30:07.000Z | 2020-06-02T12:30:07.000Z | myslice/web/rest/confirm.py | loicbaron/myslice2 | 32af9462cc9e5654a6e3036978ae74b0a03a2698 | [
"MIT"
] | 1 | 2018-10-29T16:11:26.000Z | 2018-10-29T16:11:26.000Z | import json
import logging
import rethinkdb as r
from tornado import gen, escape
from myslice.db.activity import Event
from myslice.lib.util import myJSONEncoder
from myslice.web.rest import Api
logger = logging.getLogger('myslice.rest.confirm')
class ConfirmHandler(Api):
@gen.coroutine
def get(self, id):
... | 31.454545 | 95 | 0.628131 | 788 | 0.759152 | 737 | 0.710019 | 756 | 0.728324 | 0 | 0 | 289 | 0.27842 |
ae21fa093e46f99cba061fc2247a9c451b1f519b | 218 | py | Python | FullContact/utils.py | KamalAwasthi/FullContact | fa2e9f29079064b015848d980ddbb8da51f323c9 | [
"Apache-2.0"
] | 2 | 2018-05-31T16:21:06.000Z | 2019-11-28T11:58:12.000Z | FullContact/utils.py | KamalAwasthi/FullContact | fa2e9f29079064b015848d980ddbb8da51f323c9 | [
"Apache-2.0"
] | null | null | null | FullContact/utils.py | KamalAwasthi/FullContact | fa2e9f29079064b015848d980ddbb8da51f323c9 | [
"Apache-2.0"
] | 2 | 2018-02-12T16:37:08.000Z | 2019-11-28T11:58:24.000Z | import requests
def getContacts(email):
payload = {'email': email}
r = requests.get('https://api.fullcontact.com/v2/person.json', params=payload, headers={"X-FullContact-APIKey": "841831f8eef0a46f"})
return r.text
| 31.142857 | 133 | 0.738532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.417431 |
ae22121e986bc6059cb536b9769429d2efd4c361 | 1,665 | py | Python | python/advent_of_code/y2015/day01.py | stonecharioteer/advent-of-code | c18e47e378e82f82b77558a114e7d7c3a43c8429 | [
"MIT"
] | null | null | null | python/advent_of_code/y2015/day01.py | stonecharioteer/advent-of-code | c18e47e378e82f82b77558a114e7d7c3a43c8429 | [
"MIT"
] | null | null | null | python/advent_of_code/y2015/day01.py | stonecharioteer/advent-of-code | c18e47e378e82f82b77558a114e7d7c3a43c8429 | [
"MIT"
] | null | null | null | """--- Day 1: Not Quite Lisp ---
Santa was hoping for a white Christmas, but his weather machine's "snow" function is powered by stars, and he's fresh out! To save Christmas, he needs you to collect fifty stars by December 25th.
Collect stars by helping Santa solve puzzles. Two puzzles will be made available on each d... | 42.692308 | 247 | 0.684685 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,285 | 0.771772 |
ae2625e0bfcb85513b735f8abfbccb014e1bc0b8 | 875 | py | Python | setup.py | nbgallery/ipylogging | fa54a7ace0262398b5d7a9dd3ec6938248a70752 | [
"MIT"
] | 1 | 2021-10-18T22:12:37.000Z | 2021-10-18T22:12:37.000Z | setup.py | nbgallery/ipylogging | fa54a7ace0262398b5d7a9dd3ec6938248a70752 | [
"MIT"
] | null | null | null | setup.py | nbgallery/ipylogging | fa54a7ace0262398b5d7a9dd3ec6938248a70752 | [
"MIT"
] | null | null | null | # vim: expandtab tabstop=4 shiftwidth=4
from setuptools import setup
# read the contents of your README file
from os import path
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), 'r') as f:
long_description = f.read()
setup(
name='ipylogging',
version... | 30.172414 | 77 | 0.691429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 412 | 0.470857 |
ae288231dc020ec00eec037bd175a4539730e6b8 | 2,594 | py | Python | utils/i18n.py | minsukkahng/pokr.kr | 169475778c998b4198ac7d6a1cebbc3c389e41b8 | [
"Apache-2.0"
] | 76 | 2015-01-19T12:39:43.000Z | 2021-10-14T06:10:25.000Z | utils/i18n.py | minsukkahng/pokr.kr | 169475778c998b4198ac7d6a1cebbc3c389e41b8 | [
"Apache-2.0"
] | 22 | 2015-01-03T01:00:53.000Z | 2019-09-14T11:55:06.000Z | utils/i18n.py | minsukkahng/pokr.kr | 169475778c998b4198ac7d6a1cebbc3c389e41b8 | [
"Apache-2.0"
] | 28 | 2015-01-14T15:45:00.000Z | 2020-06-03T13:29:41.000Z | from babel import Locale
from flask import current_app as cur_app, request
from flask.ext.babel import Babel, get_locale
from functools import wraps
from popong_nlp.utils.translit import translit
__all__ = ['PopongBabel']
class PopongBabel(Babel):
def init_app(self, app):
super(PopongBabel, self).ini... | 24.018519 | 82 | 0.662298 | 819 | 0.315729 | 0 | 0 | 769 | 0.296453 | 0 | 0 | 233 | 0.089823 |
ae28fbfcfc5475fc99a477407eec02fb25989dcb | 5,240 | py | Python | Model/lookalike-model/lookalike_model/application/pipeline/top_n_similarity_table_generator.py | sanjaynirmal/blue-marlin | 725d614e941e5de76562d354edf11ac18897f242 | [
"Apache-2.0"
] | 1 | 2020-03-06T09:41:49.000Z | 2020-03-06T09:41:49.000Z | Model/lookalike-model/lookalike_model/application/pipeline/top_n_similarity_table_generator.py | sanjaynirmal/blue-marlin | 725d614e941e5de76562d354edf11ac18897f242 | [
"Apache-2.0"
] | null | null | null | Model/lookalike-model/lookalike_model/application/pipeline/top_n_similarity_table_generator.py | sanjaynirmal/blue-marlin | 725d614e941e5de76562d354edf11ac18897f242 | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may... | 40.620155 | 306 | 0.717748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,445 | 0.466603 |
ae294288f339abaa44909776daf88e26d1673f50 | 1,056 | py | Python | lib/auth.py | p4lsec/autoshoppr | a0dba3060e26008c2d441358ff7f4a909ba4fcab | [
"MIT"
] | null | null | null | lib/auth.py | p4lsec/autoshoppr | a0dba3060e26008c2d441358ff7f4a909ba4fcab | [
"MIT"
] | null | null | null | lib/auth.py | p4lsec/autoshoppr | a0dba3060e26008c2d441358ff7f4a909ba4fcab | [
"MIT"
] | null | null | null | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
import pickle
import configparser
class AmazonLogin:
def __init__(self, driver=None):
self.url = "https://www.a... | 35.2 | 98 | 0.629735 | 825 | 0.78125 | 0 | 0 | 0 | 0 | 0 | 0 | 132 | 0.125 |
ae29895c6324b4119860a3e674198d1b40dd9964 | 1,317 | py | Python | Verulean/days/aoc15.py | BasedJellyfish11/Advent-of-Code-2021 | 9ed84902958c99c341ec2444d5db561c84348911 | [
"MIT"
] | 3 | 2021-12-03T22:40:17.000Z | 2021-12-23T21:17:16.000Z | Verulean/days/aoc15.py | BasedJellyfish11/Advent-of-Code-2021 | 9ed84902958c99c341ec2444d5db561c84348911 | [
"MIT"
] | null | null | null | Verulean/days/aoc15.py | BasedJellyfish11/Advent-of-Code-2021 | 9ed84902958c99c341ec2444d5db561c84348911 | [
"MIT"
] | null | null | null | import numpy as np
import heapq
class PriorityQueue(list):
def pop(self):
return heapq.heappop(self)
def push(self, value):
return heapq.heappush(self, value)
def neighbors(i, j):
return ((i-1, j), (i+1, j), (i, j-1), (i, j+1))
def numpy_dijkstra(costs):
m, n = costs.shape
s... | 24.388889 | 64 | 0.525437 | 150 | 0.113895 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae2d0af0f1b9daeb6ad913a0cc22fcfa911b9c6b | 5,291 | py | Python | pypy/module/_minimal_curses/fficurses.py | microvm/pypy-mu | 6b03fbe93052d0eb3a4c67152c987c16837b3484 | [
"Apache-2.0",
"OpenSSL"
] | 34 | 2015-07-09T04:53:27.000Z | 2021-07-19T05:22:27.000Z | pypy/module/_minimal_curses/fficurses.py | microvm/pypy-mu | 6b03fbe93052d0eb3a4c67152c987c16837b3484 | [
"Apache-2.0",
"OpenSSL"
] | 6 | 2015-05-30T17:20:45.000Z | 2017-06-12T14:29:23.000Z | pypy/module/_minimal_curses/fficurses.py | microvm/pypy-mu | 6b03fbe93052d0eb3a4c67152c987c16837b3484 | [
"Apache-2.0",
"OpenSSL"
] | 11 | 2015-09-07T14:26:08.000Z | 2020-04-10T07:20:41.000Z | """ The ffi for rpython, need to be imported for side effects
"""
from rpython.rtyper.lltypesystem import rffi
from rpython.rtyper.lltypesystem import lltype
from rpython.rtyper.tool import rffi_platform
from rpython.rtyper.extfunc import register_external
from pypy.module._minimal_curses import interp_curses
from rpy... | 36.743056 | 82 | 0.634096 | 100 | 0.0189 | 1,192 | 0.225288 | 0 | 0 | 0 | 0 | 962 | 0.181818 |
ae2e72786b0e755905085b12bef4f3ce69f9d8fc | 34 | py | Python | pycalc.py | erhuabushuo/pycalc | a46b85aaafe37ad7cca95ac0198d9bfea985b598 | [
"MIT"
] | null | null | null | pycalc.py | erhuabushuo/pycalc | a46b85aaafe37ad7cca95ac0198d9bfea985b598 | [
"MIT"
] | null | null | null | pycalc.py | erhuabushuo/pycalc | a46b85aaafe37ad7cca95ac0198d9bfea985b598 | [
"MIT"
] | null | null | null | import calcpy
calcpy.calculcate() | 11.333333 | 19 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae2f2e86a4f028f1e691a235394a547ef477d257 | 470 | py | Python | peripherals/cardreader.py | sparkoo/payterm | a8c783583017e65a6c2549a831a7dfa44367dbd1 | [
"WTFPL"
] | null | null | null | peripherals/cardreader.py | sparkoo/payterm | a8c783583017e65a6c2549a831a7dfa44367dbd1 | [
"WTFPL"
] | 4 | 2020-02-26T21:56:57.000Z | 2020-03-01T11:37:39.000Z | peripherals/cardreader.py | sparkoo/payterm | a8c783583017e65a6c2549a831a7dfa44367dbd1 | [
"WTFPL"
] | null | null | null | import RPi.GPIO as GPIO
import time
from mfrc522 import SimpleMFRC522
import importlib.util
spec = importlib.util.spec_from_file_location("conn", "lib/conn.py")
conn = importlib.util.module_from_spec(spec)
spec.loader.exec_module(conn)
def readCard():
try:
time.sleep(1)
reader = SimpleMFRC522()
cardid, ... | 20.434783 | 68 | 0.723404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.065957 |
ae313f7b22dd8a45cb53e8bfba694df52241d4b5 | 1,310 | py | Python | exercises/development/intermediate/exercise_5.py | littlekign/comp-think.github.io | 21bce306c7672b6355a6fdaf260824542dbca595 | [
"CC0-1.0",
"CC-BY-4.0"
] | 40 | 2019-01-25T11:14:30.000Z | 2021-12-05T15:04:11.000Z | exercises/development/intermediate/exercise_5.py | littlekign/comp-think.github.io | 21bce306c7672b6355a6fdaf260824542dbca595 | [
"CC0-1.0",
"CC-BY-4.0"
] | 1 | 2020-11-08T15:18:58.000Z | 2020-11-19T22:44:28.000Z | exercises/development/intermediate/exercise_5.py | littlekign/comp-think.github.io | 21bce306c7672b6355a6fdaf260824542dbca595 | [
"CC0-1.0",
"CC-BY-4.0"
] | 19 | 2019-12-28T16:06:01.000Z | 2021-12-14T15:52:44.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2019, Silvio Peroni <[email protected]>
#
# 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 I... | 33.589744 | 84 | 0.70458 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 874 | 0.667176 |
ae31a4d08aeb572fffda497f8fd188e49b5508e5 | 149 | py | Python | modules/2.79/bpy/types/TextCharacterFormat.py | cmbasnett/fake-bpy-module | acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55 | [
"MIT"
] | null | null | null | modules/2.79/bpy/types/TextCharacterFormat.py | cmbasnett/fake-bpy-module | acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55 | [
"MIT"
] | null | null | null | modules/2.79/bpy/types/TextCharacterFormat.py | cmbasnett/fake-bpy-module | acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55 | [
"MIT"
] | null | null | null | class TextCharacterFormat:
material_index = None
use_bold = None
use_italic = None
use_small_caps = None
use_underline = None
| 14.9 | 26 | 0.691275 | 145 | 0.973154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae3401171f8e9d1d9a120271065ad3caf42b8ad2 | 38 | py | Python | tests/__init__.py | masasin/latexipy | 1f888a44f2077a5c0ef63216616cd24c279e44d0 | [
"MIT"
] | 144 | 2017-08-24T08:58:58.000Z | 2021-04-18T10:38:44.000Z | tests/__init__.py | masasin/latexipy | 1f888a44f2077a5c0ef63216616cd24c279e44d0 | [
"MIT"
] | 424 | 2017-09-04T16:21:10.000Z | 2022-03-28T02:23:25.000Z | tests/__init__.py | masasin/latexipy | 1f888a44f2077a5c0ef63216616cd24c279e44d0 | [
"MIT"
] | 15 | 2017-08-26T08:05:55.000Z | 2019-05-13T22:29:44.000Z | '''Unit test package for latexipy.'''
| 19 | 37 | 0.684211 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.973684 |
ae340b92aadfe682e4f7ba5a3b3a05872dd322d2 | 192 | py | Python | pyravendb/data/counters.py | CDuPlooy/ravendb-python-client | dbe51ee8eea166e0d9e60897ab480dd9a693366b | [
"MIT"
] | 19 | 2019-02-16T14:39:38.000Z | 2022-03-23T12:27:00.000Z | pyravendb/data/counters.py | CDuPlooy/ravendb-python-client | dbe51ee8eea166e0d9e60897ab480dd9a693366b | [
"MIT"
] | 24 | 2018-10-21T07:31:21.000Z | 2022-03-27T17:27:29.000Z | pyravendb/data/counters.py | CDuPlooy/ravendb-python-client | dbe51ee8eea166e0d9e60897ab480dd9a693366b | [
"MIT"
] | 14 | 2018-08-14T07:58:46.000Z | 2022-01-05T12:20:08.000Z | from enum import Enum
class CounterOperationType(Enum):
none = "None"
increment = "Increment"
delete = "Delete"
get = "Get"
def __str__(self):
return self.value
| 16 | 33 | 0.625 | 167 | 0.869792 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.15625 |
ae3425a0e350725139bf2c51d7938fab7269b9d6 | 516 | py | Python | src/lib/spaces/orientedplane.py | Wombatlord/PygamePong | d56b1529fe095e6a30b27b6039d9d52105ad900d | [
"MIT"
] | null | null | null | src/lib/spaces/orientedplane.py | Wombatlord/PygamePong | d56b1529fe095e6a30b27b6039d9d52105ad900d | [
"MIT"
] | 2 | 2021-02-19T05:05:43.000Z | 2021-02-20T02:16:53.000Z | src/lib/spaces/orientedplane.py | Wombatlord/PygamePong | d56b1529fe095e6a30b27b6039d9d52105ad900d | [
"MIT"
] | 1 | 2020-08-13T10:14:46.000Z | 2020-08-13T10:14:46.000Z | from src.lib.spaces.vector import Vector
class OrientedPlane:
def __init__(self, normal: Vector) -> None:
self.normal = normal.normalise()
def reflect(self, initialVector: Vector):
normalComponent: float = initialVector.dot(self.normal)
if normalComponent < 0:
normalCompon... | 30.352941 | 70 | 0.660853 | 472 | 0.914729 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae344aa9b51e47e1afbcdf4afc821fdaead42258 | 715 | py | Python | core/migrations/0003_alter_carro_chassi_alter_carro_montadora.py | montalvas/django05 | 199f2ba1c757d899a78f8fc40742081bc74a4187 | [
"MIT"
] | null | null | null | core/migrations/0003_alter_carro_chassi_alter_carro_montadora.py | montalvas/django05 | 199f2ba1c757d899a78f8fc40742081bc74a4187 | [
"MIT"
] | null | null | null | core/migrations/0003_alter_carro_chassi_alter_carro_montadora.py | montalvas/django05 | 199f2ba1c757d899a78f8fc40742081bc74a4187 | [
"MIT"
] | null | null | null | # Generated by Django 4.0.2 on 2022-02-02 19:01
import core.models
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0002_carro_motoristas'),
]
operations = [
migrations.AlterField(
mod... | 27.5 | 117 | 0.633566 | 570 | 0.797203 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.193007 |
ae371956e205306769109642792d7cbf72cc52de | 156 | py | Python | snake/__init__.py | lparolari/snake | ceaaec051584be768c9541fb106234e6de2b4900 | [
"MIT"
] | 1 | 2020-11-02T11:04:49.000Z | 2020-11-02T11:04:49.000Z | snake/__init__.py | lparolari/snake | ceaaec051584be768c9541fb106234e6de2b4900 | [
"MIT"
] | 112 | 2019-09-24T20:08:23.000Z | 2021-02-08T00:36:07.000Z | snake/__init__.py | lparolari/snake | ceaaec051584be768c9541fb106234e6de2b4900 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Top-level package for snake."""
__author__ = """Luca Parolari"""
__email__ = '[email protected]'
__version__ = '0.2.2'
| 19.5 | 39 | 0.641026 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.705128 |
ae371c01a5249a7ea65891e859df84f39ceed04c | 1,357 | py | Python | UI for prediction/prediction_file.py | berfin-t/HeartAttackPrediction | a9acbd0356f3c3e4100b1964862242f6afe7da3b | [
"Apache-2.0"
] | null | null | null | UI for prediction/prediction_file.py | berfin-t/HeartAttackPrediction | a9acbd0356f3c3e4100b1964862242f6afe7da3b | [
"Apache-2.0"
] | null | null | null | UI for prediction/prediction_file.py | berfin-t/HeartAttackPrediction | a9acbd0356f3c3e4100b1964862242f6afe7da3b | [
"Apache-2.0"
] | null | null | null | import pickle
import os
import sys
import pandas as pd
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
import warnings
warnings.filterwarnings("ignore", message="Reloaded modules: <module_name>")
def train():
data = pd.read_csv('heart.csv')
Y = data["target"... | 26.096154 | 95 | 0.664702 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 0.100221 |
ae386b890d023c6368568c73f1d37d4dc2112c5f | 1,432 | py | Python | bot/models.py | xammi/nash_dom_bot | 9d5dfc7e0120d56c95e020e7e20505b973a5d402 | [
"MIT"
] | null | null | null | bot/models.py | xammi/nash_dom_bot | 9d5dfc7e0120d56c95e020e7e20505b973a5d402 | [
"MIT"
] | null | null | null | bot/models.py | xammi/nash_dom_bot | 9d5dfc7e0120d56c95e020e7e20505b973a5d402 | [
"MIT"
] | null | null | null | from django.db import models
from django.db.models import CASCADE
class House(models.Model):
class Meta:
verbose_name = 'Дом'
verbose_name_plural = 'дома'
address = models.CharField(verbose_name='Адрес дома', max_length=255)
tg_chat_id = models.BigIntegerField(verbose_name='ID чата жильцо... | 31.822222 | 87 | 0.703212 | 1,533 | 0.953358 | 0 | 0 | 0 | 0 | 0 | 0 | 474 | 0.294776 |
ae3968619345b1a7bf80058788bc082425067214 | 3,592 | py | Python | tf_ops/genCompileScript.py | chenzhutian/MCCNN | e28ca4a2deeecbfd1c8939ca666fcc010554fcbb | [
"MIT"
] | 90 | 2018-07-05T13:43:43.000Z | 2022-01-21T08:23:06.000Z | tf_ops/genCompileScript.py | DylanWusee/MCCNN | 13c2afb81aa231779b2be564ae31931b1d82e3fa | [
"MIT"
] | 9 | 2018-11-08T14:22:59.000Z | 2022-03-13T08:35:15.000Z | tf_ops/genCompileScript.py | DylanWusee/MCCNN | 13c2afb81aa231779b2be564ae31931b1d82e3fa | [
"MIT"
] | 12 | 2018-11-09T09:31:46.000Z | 2021-06-21T01:23:11.000Z | '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
\file genCompileScript.py
\brief Python script to generate the compile script for unix systems.
\copyright Copyright (c) 2018 Visual Computing group of Ulm University,
Germany. See the LICENSE file at the... | 71.84 | 214 | 0.65618 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,044 | 0.569042 |
ae39d5bb797b8ed6a1c3f37606a273b2c5c79dbb | 8,326 | py | Python | tests/test_optimization.py | davidusb-geek/emhass | 5d6a5ad45c26b819c6bc1cb0e8943940d7fc8f17 | [
"MIT"
] | 17 | 2021-09-12T22:32:09.000Z | 2022-03-17T17:45:29.000Z | tests/test_optimization.py | davidusb-geek/emhass | 5d6a5ad45c26b819c6bc1cb0e8943940d7fc8f17 | [
"MIT"
] | 1 | 2021-12-22T21:10:04.000Z | 2021-12-22T21:10:04.000Z | tests/test_optimization.py | davidusb-geek/emhass | 5d6a5ad45c26b819c6bc1cb0e8943940d7fc8f17 | [
"MIT"
] | 2 | 2021-11-03T10:29:05.000Z | 2021-11-19T12:08:24.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import unittest
import pandas as pd
import numpy as np
import pathlib
import pickle
from datetime import datetime, timezone
from emhass.retrieve_hass import retrieve_hass
from emhass.optimization import optimization
from emhass.forecast import forecast
from emhass.utils i... | 60.773723 | 138 | 0.700336 | 7,697 | 0.924454 | 0 | 0 | 0 | 0 | 0 | 0 | 820 | 0.098487 |
ae3a515565662ff474b5546eb89caaad693236c2 | 223 | py | Python | leetcode_runner/models.py | fbjorn/leetcode-runner | 38569e68a3ec2e420ed54aa509c236748f5d55dc | [
"MIT"
] | null | null | null | leetcode_runner/models.py | fbjorn/leetcode-runner | 38569e68a3ec2e420ed54aa509c236748f5d55dc | [
"MIT"
] | null | null | null | leetcode_runner/models.py | fbjorn/leetcode-runner | 38569e68a3ec2e420ed54aa509c236748f5d55dc | [
"MIT"
] | null | null | null | class Args:
def __init__(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
class TestCase:
def __init__(self, args: Args, answer):
self.args = args
self.answer = answer
| 20.272727 | 43 | 0.591928 | 219 | 0.982063 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae3a5afb8c080bcd642ec9b461aca11065494bcb | 4,555 | py | Python | experiments/counters.py | TenantBase/django-experiments | b75cf11159da4f4c75d9798dff3ddfd1ca454261 | [
"MIT"
] | null | null | null | experiments/counters.py | TenantBase/django-experiments | b75cf11159da4f4c75d9798dff3ddfd1ca454261 | [
"MIT"
] | 1 | 2019-05-29T00:00:15.000Z | 2019-05-29T00:00:15.000Z | experiments/counters.py | TenantBase/django-experiments | b75cf11159da4f4c75d9798dff3ddfd1ca454261 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.utils.functional import cached_property
import redis
from redis.sentinel import Sentinel
from redis.exceptions import ConnectionError, ResponseError
COUNTER_CACHE_KEY = 'experiments:participants:%s'
COUNTER_FREQ_CACHE_KEY = 'experiments:freq:%s'
class Counters(object):
... | 38.931624 | 130 | 0.639517 | 4,258 | 0.934797 | 0 | 0 | 693 | 0.152141 | 0 | 0 | 859 | 0.188584 |
ae3bab1dfe4bf59579d4fb381bd53583200e99c5 | 447 | py | Python | irl_gym/envs/env_utils.py | uidilr/irl_gym | 3352cb9189f3d5076a116db6678207e186ff4fc6 | [
"MIT"
] | 1 | 2020-12-29T11:04:56.000Z | 2020-12-29T11:04:56.000Z | irl_gym/envs/env_utils.py | uidilr/irl_gym | 3352cb9189f3d5076a116db6678207e186ff4fc6 | [
"MIT"
] | null | null | null | irl_gym/envs/env_utils.py | uidilr/irl_gym | 3352cb9189f3d5076a116db6678207e186ff4fc6 | [
"MIT"
] | null | null | null | import os
ENV_ASSET_DIR = os.path.join(os.path.dirname(__file__), 'assets')
def get_asset_xml(xml_name):
return os.path.join(ENV_ASSET_DIR, xml_name)
def test_env(env, T=100):
aspace = env.action_space
env.reset()
for t in range(T):
o, r, done, infos = env.step(aspace.sample())
prin... | 20.318182 | 65 | 0.568233 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.071588 |
ae3bbabd4550be0f4670cf95d502fca83a0b0369 | 1,483 | py | Python | example/resnet/convert_resnet_pytorch.py | leonskim/webdnn | f97c798c9a659fe953f9dc8c8537b8917e4be7a2 | [
"MIT"
] | 1 | 2021-04-09T15:55:35.000Z | 2021-04-09T15:55:35.000Z | example/resnet/convert_resnet_pytorch.py | leonskim/webdnn | f97c798c9a659fe953f9dc8c8537b8917e4be7a2 | [
"MIT"
] | null | null | null | example/resnet/convert_resnet_pytorch.py | leonskim/webdnn | f97c798c9a659fe953f9dc8c8537b8917e4be7a2 | [
"MIT"
] | null | null | null | """
Example of converting ResNet-50 PyTorch model
"""
import argparse
import os
import torch, torchvision
import numpy as np
from webdnn.backend import generate_descriptor, backend_names
from webdnn.frontend.pytorch import PyTorchConverter
from webdnn.util import console
def generate_graph():
model = torchvisi... | 28.519231 | 102 | 0.697235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 227 | 0.153068 |
ae3bbe9c1d9612593b0ae91960ae41d57309e29d | 436 | py | Python | test/test_getter_setter.py | msztolcman/fileperms | 8a99c5bb981265c18228b58cf44419c032d8d895 | [
"MIT"
] | null | null | null | test/test_getter_setter.py | msztolcman/fileperms | 8a99c5bb981265c18228b58cf44419c032d8d895 | [
"MIT"
] | null | null | null | test/test_getter_setter.py | msztolcman/fileperms | 8a99c5bb981265c18228b58cf44419c032d8d895 | [
"MIT"
] | null | null | null | from fileperms import Permission, Permissions
class TestGetterSetter:
def test_empty(self):
prm = Permissions()
for item in Permission:
assert prm.get(item) == False
def test_other(self):
prm = Permissions()
for item in Permission:
prm.set(item, True)
... | 24.222222 | 45 | 0.577982 | 387 | 0.887615 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae3c1e0a31bb35705167a39456828a45fbe7fc2b | 157 | py | Python | lessons/Test_and_function_programming_in_Python/project/tests/test_sum_benchmark.py | johnklee/oo_dp_lesson | 06814a88b86b38435e0ed8f305ce9e50c1aac1f6 | [
"MIT"
] | null | null | null | lessons/Test_and_function_programming_in_Python/project/tests/test_sum_benchmark.py | johnklee/oo_dp_lesson | 06814a88b86b38435e0ed8f305ce9e50c1aac1f6 | [
"MIT"
] | 7 | 2021-06-07T03:52:37.000Z | 2022-03-14T11:07:31.000Z | lessons/Test_and_function_programming_in_Python/project/tests/test_sum_benchmark.py | johnklee/oo_dp_lesson | 06814a88b86b38435e0ed8f305ce9e50c1aac1f6 | [
"MIT"
] | null | null | null | from my_sum import sum
def test_sum_benchmark(benchmark):
hundred_one_list = [1] * 100
result = benchmark(sum, hundred_one_list)
assert result == 100
| 22.428571 | 43 | 0.751592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae3d3e28bf5a8518622d4a9ff1865444e5e3583f | 1,889 | py | Python | Project_1-Alien_Invasion/settings.py | Vandeilsonln/Python-Crash-Course | 39b4f421504618f947672304a8e97edf7bc7f13d | [
"MIT"
] | null | null | null | Project_1-Alien_Invasion/settings.py | Vandeilsonln/Python-Crash-Course | 39b4f421504618f947672304a8e97edf7bc7f13d | [
"MIT"
] | null | null | null | Project_1-Alien_Invasion/settings.py | Vandeilsonln/Python-Crash-Course | 39b4f421504618f947672304a8e97edf7bc7f13d | [
"MIT"
] | null | null | null | import pygame
class Settings():
# A class to store all settings for Alien Invasion.
def __init__(self):
# Screen Settings.
self.screen_width = 1080
self.screen_height = 630
self.bg_image = pygame.image.load('Project_1-Alien_Invasion/_images/background_stars_moving.jpg')
... | 32.568966 | 105 | 0.643727 | 1,874 | 0.992059 | 0 | 0 | 0 | 0 | 0 | 0 | 493 | 0.260985 |
ae3d486c599d0d195d2c989a9d3e670a0c3383e1 | 431 | py | Python | connect.py | XtremeCurling/nextbus2pg | 4a7b32ecbc5232c3a7e4a81152aea87b2c80d517 | [
"MIT"
] | null | null | null | connect.py | XtremeCurling/nextbus2pg | 4a7b32ecbc5232c3a7e4a81152aea87b2c80d517 | [
"MIT"
] | 4 | 2018-04-03T21:12:24.000Z | 2018-05-13T22:53:43.000Z | connect.py | XtremeCurling/nextbus2pg | 4a7b32ecbc5232c3a7e4a81152aea87b2c80d517 | [
"MIT"
] | null | null | null | import urllib
import psycopg2
import psycopg2.extras
# Connect to a postgres database. Tweak some things.
def pgconnect(pghost, pgdb, pguser):
connection = psycopg2.connect(host = pghost, dbname = pgdb, user = pguser)
# Set autocommit to avoid repetitive connection.commit() statements.
connection.autocom... | 28.733333 | 78 | 0.74942 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 157 | 0.364269 |
ae3e733e97f3939f4c5a55b9fab69488409a8357 | 1,153 | py | Python | app/main/views/letter_jobs.py | karlchillmaid/notifications-admin | 9ef6da4ef9e2fa97b7debb4b573cb035a5cb8880 | [
"MIT"
] | null | null | null | app/main/views/letter_jobs.py | karlchillmaid/notifications-admin | 9ef6da4ef9e2fa97b7debb4b573cb035a5cb8880 | [
"MIT"
] | null | null | null | app/main/views/letter_jobs.py | karlchillmaid/notifications-admin | 9ef6da4ef9e2fa97b7debb4b573cb035a5cb8880 | [
"MIT"
] | null | null | null | from flask import redirect, render_template, request, session, url_for
from flask_login import login_required
from app import letter_jobs_client
from app.main import main
from app.utils import user_is_platform_admin
@main.route("/letter-jobs", methods=['GET', 'POST'])
@login_required
@user_is_platform_admin
def lett... | 31.162162 | 100 | 0.666956 | 0 | 0 | 0 | 0 | 933 | 0.809193 | 0 | 0 | 167 | 0.14484 |
ae3ea51dd07df4bb77e861ac50689fed8f983f65 | 909 | py | Python | dev-test/1_euler/srayan/euler-2.py | sgango/Y1-Project | 89205600552ede6f8da29231cfa52a3538ae8df4 | [
"BSD-2-Clause"
] | 2 | 2020-09-23T13:27:26.000Z | 2021-09-14T14:15:30.000Z | dev-test/1_euler/srayan/euler-2.py | sgango/Y1-Project | 89205600552ede6f8da29231cfa52a3538ae8df4 | [
"BSD-2-Clause"
] | 1 | 2020-06-18T14:02:59.000Z | 2020-06-18T14:02:59.000Z | dev-test/1_euler/srayan/euler-2.py | sgango/Y1-Project | 89205600552ede6f8da29231cfa52a3538ae8df4 | [
"BSD-2-Clause"
] | null | null | null | """
Adapting Euler method to handle 2nd order ODEs
Srayan Gangopadhyay
2020-05-16
"""
import numpy as np
import matplotlib.pyplot as plt
"""
y' = dy/dx
For a function of form y'' = f(x, y, y')
Define y' = v so y'' = v'
"""
def func(y, v, x): # RHS of v' = in terms of y, v, x
return x + v - 3*y
# PARAMETERS
y0 ... | 21.139535 | 67 | 0.59516 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 425 | 0.467547 |
ae3ecabbefa60b62d05ffb5c99a5c524d7526637 | 73 | py | Python | task3/mask_r_cnn/mark_cvppp.py | HenryLiangzy/COMP9517_Group | 83be7304bee47d52781ea71f06838cd148dbd0bd | [
"Apache-2.0"
] | null | null | null | task3/mask_r_cnn/mark_cvppp.py | HenryLiangzy/COMP9517_Group | 83be7304bee47d52781ea71f06838cd148dbd0bd | [
"Apache-2.0"
] | null | null | null | task3/mask_r_cnn/mark_cvppp.py | HenryLiangzy/COMP9517_Group | 83be7304bee47d52781ea71f06838cd148dbd0bd | [
"Apache-2.0"
] | null | null | null | import cv2
import os
import glob
import numpy as np
def mark(img):
| 9.125 | 18 | 0.712329 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae3f83f14ff4a0be7289a02711f0b034c72507db | 3,022 | py | Python | dss_sm_so/tests/test_backends.py | MobileCloudNetworking/dssaas | 87b6f7d60ecc397a88326a955b2ddfd3d73205d1 | [
"Apache-2.0"
] | null | null | null | dss_sm_so/tests/test_backends.py | MobileCloudNetworking/dssaas | 87b6f7d60ecc397a88326a955b2ddfd3d73205d1 | [
"Apache-2.0"
] | null | null | null | dss_sm_so/tests/test_backends.py | MobileCloudNetworking/dssaas | 87b6f7d60ecc397a88326a955b2ddfd3d73205d1 | [
"Apache-2.0"
] | 1 | 2018-10-09T06:28:36.000Z | 2018-10-09T06:28:36.000Z | __author__ = 'florian'
import unittest
from occi.backend import ActionBackend, KindBackend
from sm.sm.backends import ServiceBackend
from mock import patch
from sm.sm.so_manager import SOManager
from occi.core_model import Kind
from occi.core_model import Resource
@patch('mcn.sm.so_manager.CONFIG')
@patch('mcn.sm.so_... | 38.74359 | 101 | 0.697551 | 2,683 | 0.887823 | 0 | 0 | 1,524 | 0.504302 | 0 | 0 | 948 | 0.3137 |
ae41aa44d40af6f5bd17f7b224b76b24b0631ba4 | 4,738 | py | Python | demo/q0w_demo_analyzer/core/fonts.py | YourNorth/rezak-summarizator | 3ab2f4bf1044ea9654b4084a39030987e4b8bfe8 | [
"MIT"
] | 3 | 2020-03-28T16:48:10.000Z | 2020-12-01T17:18:55.000Z | demo/q0w_demo_analyzer/core/fonts.py | YourNorth/rezak-summarizator | 3ab2f4bf1044ea9654b4084a39030987e4b8bfe8 | [
"MIT"
] | 31 | 2020-03-20T17:53:08.000Z | 2021-03-10T11:48:11.000Z | demo/q0w_demo_analyzer/core/fonts.py | YourNorth/rezak-summarizator | 3ab2f4bf1044ea9654b4084a39030987e4b8bfe8 | [
"MIT"
] | 1 | 2020-03-20T05:01:16.000Z | 2020-03-20T05:01:16.000Z | TESTPHRASE = 'Lorem ipsum'
# ANSI COLORS
# ====== FAMILY ===== #
end = '\33[0m'
bold = '\33[1m'
italic = '\33[3m'
underline = '\33[4m'
blink = '\33[5m'
blink2 = '\33[6m'
selected = '\33[7m'
# ====== COLOR ====== #
# greyscale
black = '\33[97m'
grey = '\33[90m'
grey2 = '\33[37m'
white = '\33[30m'
# less saturation
red ... | 31.798658 | 117 | 0.58358 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,263 | 0.266568 |
ae41b46656d025e136cbbd3d68dd912515307e97 | 1,370 | py | Python | setup.py | eduk8s/prototype-cli | 74443dafb08e5b65f48ea3b9a7a03a803f79437a | [
"Apache-2.0"
] | 1 | 2019-12-30T02:52:56.000Z | 2019-12-30T02:52:56.000Z | setup.py | eduk8s/prototype-cli | 74443dafb08e5b65f48ea3b9a7a03a803f79437a | [
"Apache-2.0"
] | null | null | null | setup.py | eduk8s/prototype-cli | 74443dafb08e5b65f48ea3b9a7a03a803f79437a | [
"Apache-2.0"
] | null | null | null | import sys
import os
from setuptools import setup
long_description = open("README.rst").read()
classifiers = [
"Development Status :: 3 - Alpha",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Lang... | 27.4 | 68 | 0.607299 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 718 | 0.524088 |
ae444d42c02b963c853a9f963e814c548f5a9dae | 1,652 | py | Python | torchsupport/training/score_supervised.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 18 | 2019-05-02T16:32:15.000Z | 2021-04-16T09:33:54.000Z | torchsupport/training/score_supervised.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 5 | 2019-10-14T13:46:49.000Z | 2021-06-08T11:48:34.000Z | torchsupport/training/score_supervised.py | bobelly/torchsupport | 5aa0a04f20c193ec99310f5d6a3375d2e95e740d | [
"MIT"
] | 12 | 2019-05-12T21:34:24.000Z | 2021-07-15T14:14:16.000Z | import random
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as func
from torchsupport.data.io import netwrite, to_device, make_differentiable
from torchsupport.training.energy import DenoisingScoreTraining
from torchsupport.training.samplers import AnnealedLangevin
class ScoreSupe... | 30.592593 | 73 | 0.70339 | 1,346 | 0.81477 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0.007264 |
ae44d99a916d3dc0c3e4c682ab78f7a52d9f0c8b | 332 | py | Python | src/modeling/models/timer.py | NovaSBE-DSKC/predict-campaing-sucess-rate | fec339aee7c883f55d64130eb69e490f765ee27d | [
"MIT"
] | null | null | null | src/modeling/models/timer.py | NovaSBE-DSKC/predict-campaing-sucess-rate | fec339aee7c883f55d64130eb69e490f765ee27d | [
"MIT"
] | null | null | null | src/modeling/models/timer.py | NovaSBE-DSKC/predict-campaing-sucess-rate | fec339aee7c883f55d64130eb69e490f765ee27d | [
"MIT"
] | null | null | null | import time
class Timer():
def __init__(self):
self.start = time.time()
def end(self):
self.end = time.time()
elapsed_time = self.end - self.start
minutes = int(elapsed_time // 60)
seconds = elapsed_time % 60
print("Elapsed time: {}m {}s".format(minutes, round... | 22.133333 | 70 | 0.581325 | 317 | 0.954819 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.069277 |
ae490aaf317fe81f8776bee9c9b05dfe568d8efd | 3,538 | py | Python | tests/system/workspace_factory.py | davetcoleman/catkin_tools | 3dd28ffab0e48775b14c6bab5a7b8b974cdd126c | [
"Apache-2.0"
] | null | null | null | tests/system/workspace_factory.py | davetcoleman/catkin_tools | 3dd28ffab0e48775b14c6bab5a7b8b974cdd126c | [
"Apache-2.0"
] | null | null | null | tests/system/workspace_factory.py | davetcoleman/catkin_tools | 3dd28ffab0e48775b14c6bab5a7b8b974cdd126c | [
"Apache-2.0"
] | null | null | null | import os
import shutil
from ..utils import temporary_directory
class workspace_factory(temporary_directory):
def __init__(self, source_space='src', prefix=''):
super(workspace_factory, self).__init__(prefix=prefix)
self.source_space = source_space
def __enter__(self):
self.temporary... | 37.242105 | 113 | 0.623233 | 3,467 | 0.979932 | 0 | 0 | 0 | 0 | 0 | 0 | 704 | 0.198982 |
ae4a47fd92f1a12f864fae2ce0feac13263ca7ac | 1,019 | py | Python | setup.py | thermokarst-forks/q2-plugin-template | 0583ed514a7476ae75fd7a052043e0aec2faecb9 | [
"BSD-3-Clause"
] | 5 | 2021-05-10T14:23:11.000Z | 2022-03-04T14:37:15.000Z | setup.py | thermokarst-forks/q2-plugin-template | 0583ed514a7476ae75fd7a052043e0aec2faecb9 | [
"BSD-3-Clause"
] | 2 | 2021-05-12T15:08:31.000Z | 2021-07-13T13:57:24.000Z | setup.py | thermokarst-forks/q2-plugin-template | 0583ed514a7476ae75fd7a052043e0aec2faecb9 | [
"BSD-3-Clause"
] | 3 | 2021-05-12T15:02:12.000Z | 2022-02-09T13:33:19.000Z | # ----------------------------------------------------------------------------
# Copyright (c) 2021, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# -----------------------------------------------------... | 29.970588 | 78 | 0.570167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 614 | 0.602552 |
ae4a834438c1be65dcec72110a53d1ee4b52eb26 | 7,722 | py | Python | zero/recommendation_algorithm.py | Akulen/mangaki-zero | 5eb2de06b8684ed948b8b903e9f567f06c35e3ef | [
"MIT"
] | null | null | null | zero/recommendation_algorithm.py | Akulen/mangaki-zero | 5eb2de06b8684ed948b8b903e9f567f06c35e3ef | [
"MIT"
] | null | null | null | zero/recommendation_algorithm.py | Akulen/mangaki-zero | 5eb2de06b8684ed948b8b903e9f567f06c35e3ef | [
"MIT"
] | null | null | null | from zero.side import SideInformation
from zero.chrono import Chrono
from collections import defaultdict
from itertools import product
import numpy as np
import pickle
import os.path
import logging
class RecommendationAlgorithmFactory:
def __init__(self):
self.algorithm_registry = {}
self.algorith... | 35.916279 | 91 | 0.615644 | 7,192 | 0.931365 | 0 | 0 | 1,045 | 0.135328 | 0 | 0 | 1,581 | 0.20474 |
ae4aea0f2b66c03f8fc9b59889443427e5fe285c | 150,103 | py | Python | venv/Lib/site-packages/pyo/lib/_wxwidgets.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | null | null | null | venv/Lib/site-packages/pyo/lib/_wxwidgets.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | null | null | null | venv/Lib/site-packages/pyo/lib/_wxwidgets.py | mintzer/pupillometry-rf-back | cfa86fa984a49dce0123798f8de5b838c02e10d5 | [
"CC-BY-4.0"
] | null | null | null | from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
"""
Copyright 2009-2015 Olivier Belanger
This file is part of pyo, a python module to help digital signal
processing script creation.
pyo is free software: you can redistribute it and/or modify
it under the t... | 35.987293 | 120 | 0.525166 | 144,909 | 0.965397 | 0 | 0 | 0 | 0 | 0 | 0 | 8,333 | 0.055515 |
ae4bd329b0a39f201a2f41d92b1c573029070350 | 5,382 | py | Python | napalm_yang/utils.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 64 | 2016-10-20T15:47:18.000Z | 2021-11-11T11:57:32.000Z | napalm_yang/utils.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 126 | 2016-10-05T10:36:14.000Z | 2019-05-15T08:43:23.000Z | napalm_yang/utils.py | ckishimo/napalm-yang | 8f2bd907bd3afcde3c2f8e985192de74748baf6c | [
"Apache-2.0"
] | 63 | 2016-11-07T15:23:08.000Z | 2021-09-22T14:41:16.000Z | from napalm_yang import base
def model_to_dict(model, mode="", show_defaults=False):
"""
Given a model, return a representation of the model in a dict.
This is mostly useful to have a quick visual represenation of the model.
Args:
model (PybindBase): Model to transform.
mode (string... | 30.40678 | 87 | 0.473987 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,931 | 0.544593 |
ae4dfb5b9ba2ae94cfbe34ece6b1afd93884dd8b | 2,430 | py | Python | config.py | kenykau/reinforcement-forex | cac8c59ae7f5593bb7d9bb47e85f4ba2435a7a33 | [
"MIT"
] | null | null | null | config.py | kenykau/reinforcement-forex | cac8c59ae7f5593bb7d9bb47e85f4ba2435a7a33 | [
"MIT"
] | null | null | null | config.py | kenykau/reinforcement-forex | cac8c59ae7f5593bb7d9bb47e85f4ba2435a7a33 | [
"MIT"
] | null | null | null | from enum import IntEnum
from typing import List, Dict
class AssetType(IntEnum):
FOREX = 0
CFD = 1
class SpreadMode(IntEnum):
BIDASK = 0
RANDOM = 1
IGNORE = 2
FIXED = 3
SESSIONAL = 4
class Op(IntEnum):
LONG = 0
SHORT = 1
HOLD = 2
CLOSEALL = 3
class Config:
datafile:st... | 25.851064 | 169 | 0.488477 | 2,367 | 0.974074 | 0 | 0 | 0 | 0 | 0 | 0 | 1,057 | 0.434979 |
ae4e5f7fe6b5f5c3253e178b1b6eeb60c312745d | 3,020 | py | Python | metaci/release/models.py | giveclarity/MetaCI | f51bd50acf2e7d5e111f993f4816e5f0a5c5a441 | [
"BSD-3-Clause"
] | null | null | null | metaci/release/models.py | giveclarity/MetaCI | f51bd50acf2e7d5e111f993f4816e5f0a5c5a441 | [
"BSD-3-Clause"
] | null | null | null | metaci/release/models.py | giveclarity/MetaCI | f51bd50acf2e7d5e111f993f4816e5f0a5c5a441 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import datetime
from django.db import models
from django.utils.translation import ugettext_lazy as _
from model_utils import Choices
from model_utils.fields import AutoCreatedField, AutoLastModifiedField
from model_utils.models import StatusModel
from m... | 30.816327 | 82 | 0.67351 | 2,640 | 0.874172 | 0 | 0 | 0 | 0 | 0 | 0 | 459 | 0.151987 |
ae4f4fa26dd1ca5d802353abe3e69eef53ebe442 | 218 | py | Python | src/models/bert_crf.py | Zrealshadow/NLP_HW | 1fcc874b53cdf9465ab188c12082587d48644601 | [
"MIT"
] | 1 | 2020-08-19T03:27:18.000Z | 2020-08-19T03:27:18.000Z | src/models/bert_crf.py | OpenNLPhub/ChineseNER | 1fcc874b53cdf9465ab188c12082587d48644601 | [
"MIT"
] | null | null | null | src/models/bert_crf.py | OpenNLPhub/ChineseNER | 1fcc874b53cdf9465ab188c12082587d48644601 | [
"MIT"
] | null | null | null | import torch
import os
from torch import nn
from transformers import BertForTokenClassification,BertTokenizer,BertConfig;
cwd=os.getcwd()
class BERT_CRF(nn.Module):
def __init__(self,vocab_size):
pass
| 16.769231 | 77 | 0.770642 | 74 | 0.33945 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae5037c12585478c8a1c85ed99c80d350dbc79af | 415 | py | Python | mathMB/__init__.py | mburger-stsci/mathMB | 107c11a6e65429c5f7d2facb4ce4e199538a39d8 | [
"BSD-3-Clause"
] | null | null | null | mathMB/__init__.py | mburger-stsci/mathMB | 107c11a6e65429c5f7d2facb4ce4e199538a39d8 | [
"BSD-3-Clause"
] | null | null | null | mathMB/__init__.py | mburger-stsci/mathMB | 107c11a6e65429c5f7d2facb4ce4e199538a39d8 | [
"BSD-3-Clause"
] | null | null | null | from .interpu import interpu
from .minmaxmean import minmaxmean
from .randomdeviates import random_deviates_1d, random_deviates_2d
from .rotation_matrix import rotation_matrix
from .smooth import smooth, smooth_sphere
from .fit_model import fit_model
from .histogram import HistogramSphere, Histogram, Histogram2d
name... | 29.642857 | 66 | 0.824096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0.118072 |
ae52b0c373a33d43af43b8a92c2a1b20dd0c87e2 | 3,841 | py | Python | dgraphpandas/strategies/horizontal.py | rohith-bs/dgraphpandas | 29e91e2e7bb1d5d991ab94709a2d7e27f7dd7316 | [
"MIT"
] | 1 | 2022-02-28T17:34:11.000Z | 2022-02-28T17:34:11.000Z | dgraphpandas/strategies/horizontal.py | rohith-bs/dgraphpandas | 29e91e2e7bb1d5d991ab94709a2d7e27f7dd7316 | [
"MIT"
] | null | null | null | dgraphpandas/strategies/horizontal.py | rohith-bs/dgraphpandas | 29e91e2e7bb1d5d991ab94709a2d7e27f7dd7316 | [
"MIT"
] | 1 | 2021-04-10T19:57:05.000Z | 2021-04-10T19:57:05.000Z | import logging
from typing import Any, Dict, List, Callable, Union
import pandas as pd
from dgraphpandas.config import get_from_config
from dgraphpandas.strategies.vertical import vertical_transform
logger = logging.getLogger(__name__)
def horizontal_transform(
frame: Union[str, pd.DataFrame],
conf... | 40.431579 | 123 | 0.667534 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,869 | 0.486592 |
ae533f8aecb8c3af4f9e6c1898e9747d30e5e6e5 | 2,675 | py | Python | classifier-start/lib/utils.py | sharifkaiser/codelabs-edgetpu-image-classifier-detector | da01229abec824994776507949adad1939fa45f0 | [
"Apache-2.0"
] | 4 | 2019-05-13T15:18:36.000Z | 2021-10-08T22:16:49.000Z | classifier-start/lib/utils.py | sharifkaiser/codelabs-edgetpu-image-classifier-detector | da01229abec824994776507949adad1939fa45f0 | [
"Apache-2.0"
] | 1 | 2019-06-30T14:43:31.000Z | 2019-10-25T17:49:52.000Z | classifier-start/lib/utils.py | sharifkaiser/codelabs-edgetpu-image-classifier-detector | da01229abec824994776507949adad1939fa45f0 | [
"Apache-2.0"
] | 3 | 2019-07-22T15:16:02.000Z | 2022-03-04T11:51:11.000Z | # Copyright 2019 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.74026 | 94 | 0.575327 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 867 | 0.324112 |
ae537a846977c181886563c30f2c68e1118f6d27 | 74,410 | py | Python | remit_admin/views.py | naamara/blink | 326c035b2f0ef0feae4cd7aa2d4e73fa4a40171a | [
"Unlicense",
"MIT"
] | null | null | null | remit_admin/views.py | naamara/blink | 326c035b2f0ef0feae4cd7aa2d4e73fa4a40171a | [
"Unlicense",
"MIT"
] | 10 | 2019-12-26T17:31:31.000Z | 2022-03-21T22:17:33.000Z | remit_admin/views.py | naamara/blink | 326c035b2f0ef0feae4cd7aa2d4e73fa4a40171a | [
"Unlicense",
"MIT"
] | null | null | null | # Create your views here.
from django.template import Template, context, RequestContext
from django.shortcuts import render_to_response, render, get_object_or_404, redirect, HttpResponseRedirect, HttpResponse
from django.contrib.auth.decorators import login_required
from remit_admin.forms import RateUpdateForm, Profile... | 39.432962 | 430 | 0.619339 | 0 | 0 | 0 | 0 | 51,355 | 0.690163 | 0 | 0 | 17,236 | 0.231636 |
ae5506b0817f6bd6ba613b44f0005304d3cd1c5d | 932 | py | Python | example.py | rivasd/activiewBCI | b2278ebacc733e328f28d308146108a52d3deb78 | [
"MIT"
] | 1 | 2020-09-10T08:04:06.000Z | 2020-09-10T08:04:06.000Z | example.py | rivasd/activiewBCI | b2278ebacc733e328f28d308146108a52d3deb78 | [
"MIT"
] | null | null | null | example.py | rivasd/activiewBCI | b2278ebacc733e328f28d308146108a52d3deb78 | [
"MIT"
] | null | null | null | from ActiView import ActiveTwo
import pyqtgraph as pg
from pyqtgraph.Qt import QtCore, QtGui
import numpy as np
app = QtGui.QApplication([])
win = pg.GraphicsWindow()
win.setWindowTitle("Mimicking ActiView's EEG monitoring screen")
monitor = win.addPlot()
#we have so many curves that we will store them in an array
... | 23.897436 | 76 | 0.714592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 226 | 0.242489 |
ae56d2f7d0da35ed27472371e04da9a9312adf59 | 608 | py | Python | encoder_decoder_model/DNS_NetworkParameters_Jiao_Wan.py | mrjiao2018/LearningGroupStructure | 7426837b8c96f771724cfd663a57ed32f9d16560 | [
"MIT"
] | 1 | 2018-12-07T14:36:13.000Z | 2018-12-07T14:36:13.000Z | encoder_decoder_model/DNS_NetworkParameters_Jiao_Wan.py | mrjiao2018/LearningGroupStructure | 7426837b8c96f771724cfd663a57ed32f9d16560 | [
"MIT"
] | null | null | null | encoder_decoder_model/DNS_NetworkParameters_Jiao_Wan.py | mrjiao2018/LearningGroupStructure | 7426837b8c96f771724cfd663a57ed32f9d16560 | [
"MIT"
] | 1 | 2018-12-05T11:03:07.000Z | 2018-12-05T11:03:07.000Z | import os
class NetworkParameters:
def __init__(self, modelDirectory):
self.modelDirectory = modelDirectory
if os.path.exists(self.modelDirectory) is False:
os.mkdir(self.modelDirectory)
self.checkpointedModelDir = os.path.join(self.modelDirectory, 'savedModels')
if ... | 33.777778 | 94 | 0.710526 | 596 | 0.980263 | 0 | 0 | 0 | 0 | 0 | 0 | 54 | 0.088816 |
ae581ce55f5c70d548f9c9c2e1e5bda4e73bac54 | 11,401 | py | Python | segmentron/utils/visualize.py | GhadeerElmkaiel/Trans2Seg | 6717db602205cbed494ae1913ac7cbbca8e83463 | [
"Apache-2.0"
] | null | null | null | segmentron/utils/visualize.py | GhadeerElmkaiel/Trans2Seg | 6717db602205cbed494ae1913ac7cbbca8e83463 | [
"Apache-2.0"
] | null | null | null | segmentron/utils/visualize.py | GhadeerElmkaiel/Trans2Seg | 6717db602205cbed494ae1913ac7cbbca8e83463 | [
"Apache-2.0"
] | null | null | null | import os
import logging
import numpy as np
import torch
from PIL import Image
#from torchsummary import summary
from thop import profile
__all__ = ['get_color_pallete', 'print_iou', 'set_img_color',
'show_prediction', 'show_colorful_images', 'save_colorful_images']
def print_iou(iu, mean_pixel_acc, clas... | 46.534694 | 3,459 | 0.556179 | 0 | 0 | 0 | 0 | 444 | 0.038944 | 0 | 0 | 1,420 | 0.12455 |
ae585b1ebb6ddaac2ce15869614a545c6f947635 | 342 | py | Python | pangolin/core/context_processors.py | skylifewww/pangolinreact | 8d8a45fd15c442618f2ed1ecab15e2e2ab4b7a3a | [
"MIT"
] | null | null | null | pangolin/core/context_processors.py | skylifewww/pangolinreact | 8d8a45fd15c442618f2ed1ecab15e2e2ab4b7a3a | [
"MIT"
] | null | null | null | pangolin/core/context_processors.py | skylifewww/pangolinreact | 8d8a45fd15c442618f2ed1ecab15e2e2ab4b7a3a | [
"MIT"
] | null | null | null | from django.conf import settings
from django.utils.timezone import now
from .utils import intspace, set_param
def extra(request):
ctx = {
'dir': dir, 'list': list, 'len': len, 'enumerate': enumerate, 'range': range,
'settings': settings,
'now': now, 'intspace': intspace, 'set_param': set_... | 26.307692 | 85 | 0.652047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70 | 0.204678 |
ae58d33794d0e8f0c6295bcf0262290cc4e159e7 | 1,163 | py | Python | Python/Advanced OOP/Attributes/Hotel/01. Hotel.py | teodoramilcheva/softuni-software-engineering | 98dc9faa66f42570f6538fd7ef186d2bd1d39bff | [
"MIT"
] | null | null | null | Python/Advanced OOP/Attributes/Hotel/01. Hotel.py | teodoramilcheva/softuni-software-engineering | 98dc9faa66f42570f6538fd7ef186d2bd1d39bff | [
"MIT"
] | null | null | null | Python/Advanced OOP/Attributes/Hotel/01. Hotel.py | teodoramilcheva/softuni-software-engineering | 98dc9faa66f42570f6538fd7ef186d2bd1d39bff | [
"MIT"
] | null | null | null | class Hotel:
def __init__(self, name: str):
self.name = name
self.rooms = []
self.guests = 0
@classmethod
def from_stars(cls, stars_count):
name = f'{stars_count} stars Hotel'
return cls(name)
def add_room(self, room):
self.rooms.append(room)... | 29.820513 | 97 | 0.563199 | 1,153 | 0.991402 | 0 | 0 | 122 | 0.104901 | 0 | 0 | 238 | 0.204643 |
ae5b1b9181972edef32d0c181d78511358cde1b1 | 2,671 | py | Python | 8_random_walker_segmentation_scikit-image.py | Data-Laboratory/WorkExamples | 27e58207e664da7813673e6792c0c30c0a5bf74c | [
"MIT"
] | 1 | 2021-12-15T22:27:27.000Z | 2021-12-15T22:27:27.000Z | 8_random_walker_segmentation_scikit-image.py | Data-Laboratory/WorkExamples | 27e58207e664da7813673e6792c0c30c0a5bf74c | [
"MIT"
] | null | null | null | 8_random_walker_segmentation_scikit-image.py | Data-Laboratory/WorkExamples | 27e58207e664da7813673e6792c0c30c0a5bf74c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
__author__ = "Sreenivas Bhattiprolu"
__license__ = "Feel free to copy, I appreciate if you acknowledge Python for Microscopists"
# https://www.youtube.com/watch?v=6P8YhJa2V6o
"""
Using Random walker to generate lables and then segment and finally cleanup using closing operation.
"""
import mat... | 31.797619 | 102 | 0.7383 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,278 | 0.478472 |
ae5c773b88cd0f9d9fbee09e572ef2fc27d6c119 | 40 | py | Python | smileyjoe_io/constant.py | SmileyJoe/smileyjoe_io | 29e3b55e33f17f799f59801158499809fcce0af4 | [
"MIT"
] | null | null | null | smileyjoe_io/constant.py | SmileyJoe/smileyjoe_io | 29e3b55e33f17f799f59801158499809fcce0af4 | [
"MIT"
] | 2 | 2020-02-11T23:34:28.000Z | 2020-06-05T17:33:09.000Z | smileyjoe_io/constant.py | SmileyJoe/smileyjoe_io | 29e3b55e33f17f799f59801158499809fcce0af4 | [
"MIT"
] | null | null | null | SUB_SECRET = 'secret'
SUB_MAIN = 'main'
| 13.333333 | 21 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.35 |
ae5dba7efd27593d74b0d517709967bd1f8e2e4a | 3,090 | py | Python | dockend/dockend.py | ChrisVidal10/dockend | 8904e1d017fcc1767d8593190df537a750a50b4c | [
"MIT"
] | null | null | null | dockend/dockend.py | ChrisVidal10/dockend | 8904e1d017fcc1767d8593190df537a750a50b4c | [
"MIT"
] | 1 | 2018-06-25T23:38:09.000Z | 2018-06-25T23:38:09.000Z | dockend/dockend.py | ChrisVidal10/dockend | 8904e1d017fcc1767d8593190df537a750a50b4c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from termcolor import cprint
import argparse
import docker
DOCKER_CLIENT = docker.from_env()
def main():
try:
not_found_for_stop = False
not_found_for_start = False
ARGS = parser_arguments()
k_name_stop = 'byr' if ARGS.service == 'dla' else 'dev'
k_nam... | 35.517241 | 124 | 0.612621 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 867 | 0.280583 |
ae5e90efc8111cc99c18543d5afea38d02da46b8 | 125 | py | Python | crawlerhttp/http_header_generator.py | mcmin001/NBCrawler | ec6a348e32889fb9252651b203a725a39b6836ec | [
"Apache-2.0"
] | null | null | null | crawlerhttp/http_header_generator.py | mcmin001/NBCrawler | ec6a348e32889fb9252651b203a725a39b6836ec | [
"Apache-2.0"
] | null | null | null | crawlerhttp/http_header_generator.py | mcmin001/NBCrawler | ec6a348e32889fb9252651b203a725a39b6836ec | [
"Apache-2.0"
] | null | null | null | def get_http_header(user_agent):
# 字典数据类型 dict
headers = {
'user-agent': user_agent
}
return headers
| 17.857143 | 32 | 0.616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.270073 |
ae616a523c7cfa0788d9038fa4b59abb5b2c597c | 625 | py | Python | exp_figure/figure_3(grey).py | qqxx6661/LDSM | b2be6fdfdac00fc4a469a72b3a10686fa0f4bd80 | [
"MIT"
] | 4 | 2019-06-04T06:19:01.000Z | 2021-04-16T15:50:30.000Z | exp_figure/figure_3(grey).py | qqxx6661/LDSM | b2be6fdfdac00fc4a469a72b3a10686fa0f4bd80 | [
"MIT"
] | 1 | 2019-09-10T10:33:18.000Z | 2021-02-08T14:51:39.000Z | exp_figure/figure_3(grey).py | qqxx6661/LDSM | b2be6fdfdac00fc4a469a72b3a10686fa0f4bd80 | [
"MIT"
] | 2 | 2019-06-04T06:19:08.000Z | 2021-09-06T07:30:44.000Z | import random
import matplotlib.pyplot as plt
import numpy as np
# 在一个图形中创建两条线
fig = plt.figure(figsize=(10, 6))
ax1 = fig.add_subplot(1, 1, 1)
ax1.set_xlabel('Frame', fontsize=18)
ax1.set_ylabel('Overall Time Cost (s)', fontsize=18)
x = range(180)
y1 = []
y2 = []
for i in range(180):
y1.append(random.uniform(0... | 23.148148 | 64 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.163833 |
ae6311f1dc6cb97bf176a5a088a3d0aac371ae07 | 176 | py | Python | src/radixlib/constants.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 32 | 2022-01-12T16:52:28.000Z | 2022-03-24T18:05:47.000Z | src/radixlib/constants.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 3 | 2022-01-12T17:01:55.000Z | 2022-02-12T15:14:16.000Z | src/radixlib/constants.py | 0xOmarA/RadixLib | 85d75a47d4c4df4c1a319b74857ae2c513933623 | [
"MIT"
] | 1 | 2022-01-21T04:28:07.000Z | 2022-01-21T04:28:07.000Z | from typing import Dict
XRD_RRI: Dict[str, str] = {
"mainnet": "xrd_rr1qy5wfsfh",
"stokenet": "xrd_tr1qyf0x76s",
"betanet": "xrd_br1qy73gwac",
"localnet": ""
} | 22 | 34 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.517045 |
ae63be6d85b78ced6ae0f350b22b8798f6f015df | 1,349 | py | Python | tests/examples/coreutils/ls/requirements/requirements.py | testflows/TestFlows-Core | 0aa17247dffd2f7199465031ab16cc4f12c9cfb0 | [
"Apache-2.0"
] | 3 | 2020-06-25T19:23:19.000Z | 2021-10-20T19:29:56.000Z | tests/examples/coreutils/ls/requirements/requirements.py | testflows/TestFlows-Core | 0aa17247dffd2f7199465031ab16cc4f12c9cfb0 | [
"Apache-2.0"
] | null | null | null | tests/examples/coreutils/ls/requirements/requirements.py | testflows/TestFlows-Core | 0aa17247dffd2f7199465031ab16cc4f12c9cfb0 | [
"Apache-2.0"
] | 1 | 2020-02-24T12:31:45.000Z | 2020-02-24T12:31:45.000Z | # These requirements were auto generated
# from software requirements specification (SRS)
# document by TestFlows v1.6.200716.1214830.
# Do not edit by hand but re-generate instead
# using 'tfs requirements generate' command.
from testflows.core import Requirement
RQ_SRS001_CU_LS = Requirement(
name='RQ.SRS001... | 26.45098 | 107 | 0.578206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 600 | 0.444774 |
ae6410131f36b3418762c4c860f8c13f5bed9bd8 | 1,067 | py | Python | build/lib/flaskr/__init__.py | LayneWei/NLP-medical-information-extraction | 1657d956afd3a2c476da28e3e8a4f1c4ce4bdc4b | [
"MIT"
] | null | null | null | build/lib/flaskr/__init__.py | LayneWei/NLP-medical-information-extraction | 1657d956afd3a2c476da28e3e8a4f1c4ce4bdc4b | [
"MIT"
] | null | null | null | build/lib/flaskr/__init__.py | LayneWei/NLP-medical-information-extraction | 1657d956afd3a2c476da28e3e8a4f1c4ce4bdc4b | [
"MIT"
] | null | null | null | import os
from flask import Flask
#import SQLAlchemy
from flaskr import db
def clear_data(session):
meta = db.metadata
for table in reversed(meta.sorted_tables):
print('Clear table %s' % table)
session.execute(table.delete())
session.commit()
def create_app(test_config=None):
# cre... | 23.711111 | 66 | 0.66448 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.218369 |
ae6515732de013312213bbfb2e08738b394327ad | 139 | py | Python | nlpatl/sampling/clustering/__init__.py | dumpmemory/nlpatl | 59209242d1ac26714b11b86261070ac50cc90432 | [
"MIT"
] | 18 | 2021-11-29T06:43:46.000Z | 2022-03-29T09:58:32.000Z | nlpatl/sampling/clustering/__init__.py | dumpmemory/nlpatl | 59209242d1ac26714b11b86261070ac50cc90432 | [
"MIT"
] | null | null | null | nlpatl/sampling/clustering/__init__.py | dumpmemory/nlpatl | 59209242d1ac26714b11b86261070ac50cc90432 | [
"MIT"
] | 1 | 2021-11-29T06:43:47.000Z | 2021-11-29T06:43:47.000Z | from nlpatl.sampling.clustering.nearest_mean import NearestMeanSampling
from nlpatl.sampling.clustering.farthest import FarthestSampling
| 46.333333 | 72 | 0.884892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae689f1c1175daa6fc473f2cb48f19de2559deff | 830 | py | Python | EvaMap/Metrics/sameAs.py | benjimor/EvaMap | 42e616abe9f15925b885797d30496e30615989a0 | [
"MIT"
] | 1 | 2021-01-29T18:53:26.000Z | 2021-01-29T18:53:26.000Z | EvaMap/Metrics/sameAs.py | benjimor/EvaMap | 42e616abe9f15925b885797d30496e30615989a0 | [
"MIT"
] | 1 | 2021-06-06T17:56:00.000Z | 2021-06-06T17:56:00.000Z | EvaMap/Metrics/sameAs.py | benjimor/EvaMap | 42e616abe9f15925b885797d30496e30615989a0 | [
"MIT"
] | null | null | null | import rdflib
import requests
from EvaMap.Metrics.metric import metric
def sameAs(g_onto, liste_map, g_map, raw_data, g_link) :
result = metric()
result['name'] = "Use of sameAs properties"
nbPossible = 0
points = 0
set_URIs = set()
for s, _, _ in g_map.triples((None, None, None)) :
if... | 31.923077 | 112 | 0.595181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 121 | 0.145783 |
ae69157e9e2838981548e0247bcf82bb4114ecc3 | 1,501 | py | Python | zeeko/handlers/setup_package.py | alexrudy/Zeeko | fb4992724620ed548dd32c3201f79f5b7bebfe32 | [
"BSD-3-Clause"
] | 2 | 2017-07-23T22:06:05.000Z | 2020-02-28T07:54:15.000Z | zeeko/handlers/setup_package.py | alexrudy/Zeeko | fb4992724620ed548dd32c3201f79f5b7bebfe32 | [
"BSD-3-Clause"
] | 1 | 2020-10-29T19:54:06.000Z | 2020-10-29T19:54:06.000Z | zeeko/handlers/setup_package.py | alexrudy/Zeeko | fb4992724620ed548dd32c3201f79f5b7bebfe32 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import absolute_import
import os
from zeeko._build_helpers import get_utils_extension_args, get_zmq_extension_args, _generate_cython_extensions, pxd, get_package_data
from astropy_helpers import setup_helpers
utilities = [pxd("..utils.rc"),
pxd("..utils.msg"),
... | 38.487179 | 133 | 0.654231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 361 | 0.240506 |
ae69c8b77055ca55392fe8a19a30b6175954dde3 | 5,716 | py | Python | networkapi/api_route_map/v4/serializers.py | vinicius-marinho/GloboNetworkAPI | 94651d3b4dd180769bc40ec966814f3427ccfb5b | [
"Apache-2.0"
] | 73 | 2015-04-13T17:56:11.000Z | 2022-03-24T06:13:07.000Z | networkapi/api_route_map/v4/serializers.py | leopoldomauricio/GloboNetworkAPI | 3b5b2e336d9eb53b2c113977bfe466b23a50aa29 | [
"Apache-2.0"
] | 99 | 2015-04-03T01:04:46.000Z | 2021-10-03T23:24:48.000Z | networkapi/api_route_map/v4/serializers.py | shildenbrand/GloboNetworkAPI | 515d5e961456cee657c08c275faa1b69b7452719 | [
"Apache-2.0"
] | 64 | 2015-08-05T21:26:29.000Z | 2022-03-22T01:06:28.000Z | # -*- coding: utf-8 -*-
import logging
from django.db.models import get_model
from rest_framework import serializers
from networkapi.util.geral import get_app
from networkapi.util.serializers import DynamicFieldsModelSerializer
log = logging.getLogger(__name__)
class RouteMapV4Serializer(DynamicFieldsModelSerializ... | 31.065217 | 78 | 0.448216 | 5,445 | 0.952589 | 0 | 0 | 0 | 0 | 0 | 0 | 1,414 | 0.247376 |
ae6b38b5ef961be1df343f27398c8d975b548233 | 274 | py | Python | src/admin_panel/models.py | sahilsehgal1995/lenme-api | 65826619b039c5c4035b6e0c133c32014977489e | [
"MIT"
] | null | null | null | src/admin_panel/models.py | sahilsehgal1995/lenme-api | 65826619b039c5c4035b6e0c133c32014977489e | [
"MIT"
] | null | null | null | src/admin_panel/models.py | sahilsehgal1995/lenme-api | 65826619b039c5c4035b6e0c133c32014977489e | [
"MIT"
] | null | null | null | from src import db, BaseMixin
class Log(db.Model, BaseMixin):
action = db.Column(db.String(55), nullable=False)
owner_id = db.Column(db.Integer, db.ForeignKey('user.id'))
updated_data = db.Column(db.String(1024))
updated_model = db.Column(db.String(125))
| 27.4 | 62 | 0.70073 | 241 | 0.879562 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.032847 |
ae6dc1d38a589fb6dfb638a55ee82b80c824df9d | 10,329 | py | Python | actions/line_mmc.py | fmariv/udt-qgis-plugin | 20cbf8889f2a2448d982c7057a4cfbe37d90d78b | [
"MIT"
] | null | null | null | actions/line_mmc.py | fmariv/udt-qgis-plugin | 20cbf8889f2a2448d982c7057a4cfbe37d90d78b | [
"MIT"
] | 2 | 2021-09-02T07:22:24.000Z | 2021-09-22T05:31:45.000Z | actions/line_mmc.py | fmariv/udt-qgis-plugin | 20cbf8889f2a2448d982c7057a4cfbe37d90d78b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
/***************************************************************************
UDTPlugin
In this file is where the LineMMC class is defined. The main function
of this class is to run the automation process that exports the geometries
and generates the metadata of a municipal line.
**********... | 41.817814 | 127 | 0.618162 | 9,503 | 0.919853 | 0 | 0 | 0 | 0 | 0 | 0 | 2,336 | 0.226116 |
ae6e3ce852e6d0276690375427d2e2f3c5953dfb | 5,369 | py | Python | SentimentAnalysis.py | hoossainalik/instalyzer | 9ad7c59fba3f617801d3ec0c3ae216029ee0aece | [
"MIT"
] | null | null | null | SentimentAnalysis.py | hoossainalik/instalyzer | 9ad7c59fba3f617801d3ec0c3ae216029ee0aece | [
"MIT"
] | null | null | null | SentimentAnalysis.py | hoossainalik/instalyzer | 9ad7c59fba3f617801d3ec0c3ae216029ee0aece | [
"MIT"
] | null | null | null | """
Module: Sentiment Analysis
Author: Hussain Ali Khan
Version: 1.0.0
Last Modified: 29/11/2018 (Thursday)
"""
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import pandas as pd
import re
import os
from emoji import UNICODE_EMOJI
import matplotlib.pyplot as plt
import seaborn as sns
class Res... | 28.558511 | 109 | 0.596573 | 2,564 | 0.477379 | 0 | 0 | 0 | 0 | 0 | 0 | 1,230 | 0.229008 |
ae6e8bcab2c7710339f988ae2adebe63a8a6d860 | 11,100 | py | Python | deep_sort_/track.py | brjathu/PHALP | 0502c0aa515292bc70e358fe3b3ec65e63215327 | [
"MIT"
] | 45 | 2022-02-23T04:32:22.000Z | 2022-03-31T15:02:39.000Z | deep_sort_/track.py | brjathu/PHALP | 0502c0aa515292bc70e358fe3b3ec65e63215327 | [
"MIT"
] | 5 | 2022-02-23T15:08:29.000Z | 2022-03-24T19:54:55.000Z | deep_sort_/track.py | brjathu/PHALP | 0502c0aa515292bc70e358fe3b3ec65e63215327 | [
"MIT"
] | 2 | 2022-02-26T13:01:19.000Z | 2022-03-24T04:53:29.000Z | """
Modified code from https://github.com/nwojke/deep_sort
"""
import numpy as np
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
import scipy.signal as signal
from scipy.ndimage.filters import gaussian_filter1d
class TrackState:
"""
Enumeration type for the single target t... | 42.692308 | 176 | 0.607748 | 10,847 | 0.977207 | 0 | 0 | 0 | 0 | 0 | 0 | 2,807 | 0.252883 |
ae722ba487151806c74bc4bb207a931bee8b9346 | 818 | py | Python | meiduo_mall/apps/users/utils.py | 150619/meiduo_mall_project | c0441ad744c6dd0e2962d5e734c842e237b9ad0b | [
"MIT"
] | null | null | null | meiduo_mall/apps/users/utils.py | 150619/meiduo_mall_project | c0441ad744c6dd0e2962d5e734c842e237b9ad0b | [
"MIT"
] | null | null | null | meiduo_mall/apps/users/utils.py | 150619/meiduo_mall_project | c0441ad744c6dd0e2962d5e734c842e237b9ad0b | [
"MIT"
] | null | null | null | import re
from django.contrib.auth.backends import ModelBackend
from django.contrib.auth.mixins import LoginRequiredMixin
from django.http import JsonResponse
from apps.users.models import User
class AuthMobile(ModelBackend):
def authenticate(self, request, username=None, password=None, **kwargs):
try:
... | 29.214286 | 76 | 0.656479 | 626 | 0.756039 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0.056763 |
ae738c094d5028bff43bc7f3386c802a9cf32a46 | 95 | py | Python | ginger/scripts/templates/app_templates/app_name/urls.py | vivsh/django-ginger | d293109becc72845a23f2aeb732ed808a7a67d69 | [
"MIT"
] | null | null | null | ginger/scripts/templates/app_templates/app_name/urls.py | vivsh/django-ginger | d293109becc72845a23f2aeb732ed808a7a67d69 | [
"MIT"
] | null | null | null | ginger/scripts/templates/app_templates/app_name/urls.py | vivsh/django-ginger | d293109becc72845a23f2aeb732ed808a7a67d69 | [
"MIT"
] | null | null | null |
from django.conf.urls import url, patterns
from . import views
urlpatterns = patterns("",
)
| 11.875 | 42 | 0.726316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.021053 |
ae73d85a5f4dcb6adc5dcd4a48bf418ba8cec3c0 | 1,184 | py | Python | ppln/gatkRealignerTargCreator.py | asalomatov/nextgen-pipeline | 4ac358050075dc40d32a1c09160e86a41f093f98 | [
"MIT"
] | 4 | 2017-08-11T21:02:35.000Z | 2020-10-29T19:49:41.000Z | ppln/gatkRealignerTargCreator.py | asalomatov/nextgen-pipeline | 4ac358050075dc40d32a1c09160e86a41f093f98 | [
"MIT"
] | null | null | null | ppln/gatkRealignerTargCreator.py | asalomatov/nextgen-pipeline | 4ac358050075dc40d32a1c09160e86a41f093f98 | [
"MIT"
] | 2 | 2017-08-18T19:40:10.000Z | 2017-08-19T03:43:07.000Z | '''
'''
import sys, subprocess
sys.path.insert(0, '/nethome/asalomatov/projects/ppln')
import logProc
ntFlag = '-nt 10'
#interval_padding = '--interval_padding 0' # bed files padded with 100bp
interval_padding = '--interval_padding 200'
read_filter = '--read_filter BadCigar'
print '\nsys.args :', sys.argv[1:]
inb... | 42.285714 | 215 | 0.705236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 633 | 0.534628 |
ae74ea38559f52ac217bf0d17616d5da35736211 | 14,773 | py | Python | functions_baseline_opencv.py | Shiro-LK/Super-Resolution-ProbaV | e6b9d9d62caa50b84cd5bdca906af53aa1a5de8b | [
"MIT"
] | null | null | null | functions_baseline_opencv.py | Shiro-LK/Super-Resolution-ProbaV | e6b9d9d62caa50b84cd5bdca906af53aa1a5de8b | [
"MIT"
] | null | null | null | functions_baseline_opencv.py | Shiro-LK/Super-Resolution-ProbaV | e6b9d9d62caa50b84cd5bdca906af53aa1a5de8b | [
"MIT"
] | 1 | 2020-04-15T10:36:31.000Z | 2020-04-15T10:36:31.000Z | # -*- coding: utf-8 -*-
import cv2
import numpy as np
import os
import pandas as pd
import math
from skimage import io
from skimage.transform import rescale
import skimage
import numba
from numba import prange
import time
from pathlib import Path
# MAX 35 IMG
## Create TXT FILE for loading
def import_norm_data(fil... | 34.678404 | 175 | 0.56434 | 0 | 0 | 0 | 0 | 8,648 | 0.585392 | 0 | 0 | 3,586 | 0.24274 |
ae75ff7994410f7e88a0e941f01acf2c32ca349b | 4,676 | py | Python | csvtoqbo.py | Airbitz/airbitz-ofx | 8dc9a851fc585e373611d6d8e27ae0e8540ea35b | [
"MIT"
] | 2 | 2016-01-08T20:14:21.000Z | 2018-06-15T17:58:09.000Z | csvtoqbo.py | EdgeApp/airbitz-ofx | 8dc9a851fc585e373611d6d8e27ae0e8540ea35b | [
"MIT"
] | null | null | null | csvtoqbo.py | EdgeApp/airbitz-ofx | 8dc9a851fc585e373611d6d8e27ae0e8540ea35b | [
"MIT"
] | 2 | 2016-01-08T20:14:22.000Z | 2016-03-30T19:59:48.000Z | #####################################################################
# #
# File: csvtoqbo.py #
# Developer: Paul Puey #
# Original Code by: Justin Leto #
# Forked from https://github.com/jleto/csvtoqbo #
# #
# main utility script file Python scrip... | 39.965812 | 155 | 0.534217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,629 | 0.348375 |
ae76f9115d5aeaf3a667d8ad57a43721c93b13f6 | 14,613 | py | Python | api/app/models/test_geofile.py | enermaps/enermaps | bac472e60e44724be605068103d01da0320483e6 | [
"Apache-2.0"
] | 5 | 2021-09-09T13:17:09.000Z | 2022-03-31T11:57:06.000Z | api/app/models/test_geofile.py | enermaps/enermaps | bac472e60e44724be605068103d01da0320483e6 | [
"Apache-2.0"
] | 154 | 2020-10-16T09:14:00.000Z | 2022-03-31T13:31:17.000Z | api/app/models/test_geofile.py | enermaps/enermaps | bac472e60e44724be605068103d01da0320483e6 | [
"Apache-2.0"
] | 9 | 2021-05-20T15:12:54.000Z | 2022-03-15T15:39:42.000Z | import copy
import json
import os
from app.common import path
from app.common.projection import epsg_string_to_proj4
from app.common.test import BaseApiTest
from . import geofile, storage
class TestLoad(BaseApiTest):
def testArea(self):
with self.flask_app.app_context():
layer = geofile.load... | 34.222482 | 88 | 0.534729 | 14,399 | 0.985356 | 0 | 0 | 0 | 0 | 0 | 0 | 2,429 | 0.166222 |
ae776a59c5b3c2f0543df97b416e9a2ebb997432 | 488 | py | Python | mypylib/utils.py | WillJBrown/displayotron | 8fa143acc7a70c47d4a288bd81afb7241dd10b9f | [
"MIT"
] | null | null | null | mypylib/utils.py | WillJBrown/displayotron | 8fa143acc7a70c47d4a288bd81afb7241dd10b9f | [
"MIT"
] | null | null | null | mypylib/utils.py | WillJBrown/displayotron | 8fa143acc7a70c47d4a288bd81afb7241dd10b9f | [
"MIT"
] | null | null | null | import os
import sys
def get_script_path(): #the path to the actual called script
return os.path.realpath(sys.argv[0])
def get_script_dir(): #the path to the actual called script directory
return os.path.dirname(os.path.realpath(sys.argv[0]))
def get_executing_file_dir(): #e.g. the path to the module file
... | 32.533333 | 75 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 162 | 0.331967 |
ae777c31a89605e1d2a2a1e2bfa85ac8840eebee | 6,676 | py | Python | src/modules/base/Configuration.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | src/modules/base/Configuration.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | src/modules/base/Configuration.py | andreaswatch/piTomation | 140bff77ad0b84ad17898106c7be7dc48a2d0783 | [
"MIT"
] | null | null | null | '''
Basic piTomation configuration options.
'''
from pydantic import BaseModel
from typing import Any, Optional, Union
from pydantic.class_validators import validator
__pdoc__ = {
"WithPlugins": None,
"configuration": None
}
__registry: dict[type, list[type]] = {}
'''Contains all @configuration class types,... | 29.539823 | 142 | 0.687088 | 5,306 | 0.794787 | 0 | 0 | 0 | 0 | 0 | 0 | 4,223 | 0.632564 |
ae78cbed15f9ad137cc2fb68f470a749694330cd | 72 | py | Python | danceschool/payments/paypal/__init__.py | django-danceschool/django-danceschool | 65ae09ffdcb0821e82df0e1f634fe13c0384a525 | [
"BSD-3-Clause"
] | 32 | 2017-09-12T04:25:25.000Z | 2022-03-21T10:48:07.000Z | danceschool/payments/paypal/__init__.py | django-danceschool/django-danceschool | 65ae09ffdcb0821e82df0e1f634fe13c0384a525 | [
"BSD-3-Clause"
] | 97 | 2017-09-01T02:43:08.000Z | 2022-01-03T18:20:34.000Z | danceschool/payments/paypal/__init__.py | django-danceschool/django-danceschool | 65ae09ffdcb0821e82df0e1f634fe13c0384a525 | [
"BSD-3-Clause"
] | 19 | 2017-09-26T13:34:46.000Z | 2022-03-21T10:48:10.000Z | default_app_config = 'danceschool.payments.paypal.apps.PaypalAppConfig'
| 36 | 71 | 0.861111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0.694444 |
ae7a6bf6cf0a8187540066ce63f57293b91d1b01 | 25 | py | Python | datamaps/__init__.py | fossabot/datamaps-1 | c66c3f20e43bd41ec0874f40f39bd0eff89fd476 | [
"MIT"
] | null | null | null | datamaps/__init__.py | fossabot/datamaps-1 | c66c3f20e43bd41ec0874f40f39bd0eff89fd476 | [
"MIT"
] | null | null | null | datamaps/__init__.py | fossabot/datamaps-1 | c66c3f20e43bd41ec0874f40f39bd0eff89fd476 | [
"MIT"
] | null | null | null | __version__ = "1.0.0b13"
| 12.5 | 24 | 0.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.4 |
ae7c6c2bff216ece676b2bf277a3dea69a26d9e6 | 2,414 | py | Python | python/opentrons_ot3_firmware/scripts/generate_header.py | Opentrons/ot3-firmware | 3047fbf54ed2bf9350a9fe02c0c0fb246ac0285a | [
"Apache-2.0"
] | 3 | 2021-09-21T13:20:27.000Z | 2021-12-02T13:12:32.000Z | python/opentrons_ot3_firmware/scripts/generate_header.py | Opentrons/ot3-firmware | 3047fbf54ed2bf9350a9fe02c0c0fb246ac0285a | [
"Apache-2.0"
] | 36 | 2021-08-10T15:18:09.000Z | 2022-03-30T19:08:13.000Z | python/opentrons_ot3_firmware/scripts/generate_header.py | Opentrons/ot3-firmware | 3047fbf54ed2bf9350a9fe02c0c0fb246ac0285a | [
"Apache-2.0"
] | null | null | null | """Script to generate c++ header file of canbus constants."""
from __future__ import annotations
import argparse
import io
from enum import Enum
from typing import Type, Any
import sys
from opentrons_ot3_firmware.constants import (
MessageId,
FunctionCode,
NodeId,
)
class block:
"""C block generator.... | 27.431818 | 83 | 0.584921 | 710 | 0.294118 | 0 | 0 | 0 | 0 | 0 | 0 | 936 | 0.387738 |
ae81bb11bf5eb162ed9c0bef3b103ae5f25903e5 | 772 | py | Python | icekit/response_pages/migrations/0001_initial.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 52 | 2016-09-13T03:50:58.000Z | 2022-02-23T16:25:08.000Z | icekit/response_pages/migrations/0001_initial.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 304 | 2016-08-11T14:17:30.000Z | 2020-07-22T13:35:18.000Z | icekit/response_pages/migrations/0001_initial.py | ic-labs/django-icekit | c507ea5b1864303732c53ad7c5800571fca5fa94 | [
"MIT"
] | 12 | 2016-09-21T18:46:35.000Z | 2021-02-15T19:37:50.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='ResponsePage',
fields=[
('id', models.AutoField... | 29.692308 | 143 | 0.563472 | 663 | 0.858808 | 0 | 0 | 0 | 0 | 0 | 0 | 120 | 0.15544 |
ae81fe56f7386088702aa7258803c69277db7d71 | 5,495 | py | Python | tests/cancer.py | old-rob/cptac | 9b33893dd11c9320628a751c8840783a6ce81957 | [
"Apache-2.0"
] | null | null | null | tests/cancer.py | old-rob/cptac | 9b33893dd11c9320628a751c8840783a6ce81957 | [
"Apache-2.0"
] | null | null | null | tests/cancer.py | old-rob/cptac | 9b33893dd11c9320628a751c8840783a6ce81957 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Samuel Payne [email protected]
# 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 ... | 33.10241 | 89 | 0.593267 | 4,630 | 0.842584 | 0 | 0 | 0 | 0 | 0 | 0 | 2,352 | 0.428025 |
ae836b13e8e1a6b59a6fe8580af78a2b08d03bc1 | 1,958 | py | Python | mobula/solvers/LRUpdater.py | wkcn/mobula | 4eec938d6477776f5f2d68bcf41de83fb8da5195 | [
"MIT"
] | 47 | 2017-07-15T02:13:18.000Z | 2022-01-01T09:37:59.000Z | mobula/solvers/LRUpdater.py | wkcn/mobula | 4eec938d6477776f5f2d68bcf41de83fb8da5195 | [
"MIT"
] | 3 | 2018-06-22T13:55:12.000Z | 2020-01-29T01:41:13.000Z | mobula/solvers/LRUpdater.py | wkcn/mobula | 4eec938d6477776f5f2d68bcf41de83fb8da5195 | [
"MIT"
] | 8 | 2017-09-03T12:42:54.000Z | 2020-09-27T03:38:59.000Z | #coding=utf-8
import numpy as np
# TODO: MULTISTEP
LR_POLICY_NUM = 7
class LR_POLICY:
FIXED, STEP, EXP, INV, MULTISTEP, POLY, SIGMOID = range(LR_POLICY_NUM)
class LRUpdater:
def __init__(self, *args, **kwargs):
if "base_lr" in kwargs:
self.base_lr = kwargs["base_lr"]
else:
... | 37.653846 | 94 | 0.650664 | 1,531 | 0.78192 | 0 | 0 | 0 | 0 | 0 | 0 | 169 | 0.086313 |
ae83889dc0e1e2a10d944afb86e01b0c15293029 | 5,098 | py | Python | code/mlflow.py | michaelhball/ml_tidbits | 55b77fded5f31cd280f043c8aa792a07ca572170 | [
"MIT"
] | 1 | 2021-04-15T19:42:51.000Z | 2021-04-15T19:42:51.000Z | code/mlflow.py | michaelhball/ml_toolshed | 55b77fded5f31cd280f043c8aa792a07ca572170 | [
"MIT"
] | null | null | null | code/mlflow.py | michaelhball/ml_toolshed | 55b77fded5f31cd280f043c8aa792a07ca572170 | [
"MIT"
] | null | null | null | import git
from mlflow.tracking import MlflowClient
from .utils import scp_files
class MyMLFlowClient:
""" Class to handle all MLFlow interactions. Only need one such client (i.e. can be used for many
training runs).
"""
def __init__(self, tracking_uri):
""" Initialise
:param t... | 41.112903 | 113 | 0.632797 | 5,012 | 0.983131 | 0 | 0 | 0 | 0 | 0 | 0 | 2,127 | 0.417222 |
ae84bc9755e4432da8e4dc0549c028ec150a10c7 | 4,215 | py | Python | infinite_nature/autocruise.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | infinite_nature/autocruise.py | davidfitzek/google-research | eb2b142f26e39aac1dcbb768417465ae9d4e5af6 | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | infinite_nature/autocruise.py | davidfitzek/google-research | eb2b142f26e39aac1dcbb768417465ae9d4e5af6 | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... | 33.452381 | 80 | 0.704152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,717 | 0.407355 |
ae84e004def4ae5d171603fde9ae436d07658e06 | 1,675 | py | Python | tilequeue/queue/file.py | ducdk90/tilequeue | c664b5c89a9f0e6743405ab266aa9ca80b57806e | [
"MIT"
] | 29 | 2016-11-03T18:39:21.000Z | 2022-02-27T17:42:37.000Z | tilequeue/queue/file.py | ducdk90/tilequeue | c664b5c89a9f0e6743405ab266aa9ca80b57806e | [
"MIT"
] | 146 | 2016-07-07T16:41:07.000Z | 2021-12-11T00:27:20.000Z | tilequeue/queue/file.py | ducdk90/tilequeue | c664b5c89a9f0e6743405ab266aa9ca80b57806e | [
"MIT"
] | 28 | 2016-08-19T16:08:52.000Z | 2021-07-26T10:16:29.000Z | from tilequeue.queue import MessageHandle
import threading
class OutputFileQueue(object):
'''
A local, file-based queue for storing the coordinates of tiles to render.
Can be used as a drop-in replacement for `tilequeue.queue.sqs.SqsQueue`.
Note that it doesn't support reading/writing from multiple `t... | 28.389831 | 79 | 0.590448 | 1,613 | 0.962985 | 0 | 0 | 0 | 0 | 0 | 0 | 520 | 0.310448 |
ae858354ab4f1914f4dfc11dd1d64a5507769f1b | 563 | py | Python | app/gui/repeater.py | TomVollerthun1337/logsmith | f2ecab4dea295d5493a9a3e77a2837b13fa139e5 | [
"Apache-2.0"
] | 19 | 2020-01-18T00:25:43.000Z | 2022-03-14T07:39:08.000Z | app/gui/repeater.py | TomVollerthun1337/logsmith | f2ecab4dea295d5493a9a3e77a2837b13fa139e5 | [
"Apache-2.0"
] | 85 | 2020-01-21T12:13:56.000Z | 2022-03-31T04:01:03.000Z | app/gui/repeater.py | TomVollerthun1337/logsmith | f2ecab4dea295d5493a9a3e77a2837b13fa139e5 | [
"Apache-2.0"
] | 2 | 2020-06-25T06:15:19.000Z | 2021-02-15T18:17:38.000Z | import logging
from PyQt5.QtCore import QTimer
logger = logging.getLogger('logsmith')
class Repeater:
def __init__(self):
self._current_task = None
def start(self, task, delay_seconds):
delay_millies = delay_seconds * 1000
self.stop()
logger.info('start timer')
time... | 21.653846 | 44 | 0.635879 | 472 | 0.838366 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.040853 |
ae867f0e402cb89db3cccc626cd6f645b33f32f2 | 40 | py | Python | condensate/core/__init__.py | Zwierlein/condensate | 34908b7e99785e9a4a9c5c743fe1a8e6f4cbf4ad | [
"MIT"
] | 4 | 2021-07-24T10:57:06.000Z | 2021-12-11T01:24:54.000Z | condensate/core/__init__.py | Zwierlein/condensate | 34908b7e99785e9a4a9c5c743fe1a8e6f4cbf4ad | [
"MIT"
] | 9 | 2021-07-15T04:13:23.000Z | 2021-08-02T21:57:00.000Z | condensate/core/__init__.py | Zwierlein/condensate | 34908b7e99785e9a4a9c5c743fe1a8e6f4cbf4ad | [
"MIT"
] | 2 | 2021-07-21T10:39:30.000Z | 2021-08-01T03:05:14.000Z | from condensate.core.build import gpcore | 40 | 40 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ae874a5f5cca2dcc55151c5b0e06fba1846032d7 | 250 | py | Python | urdubiometer/scanner/__init__.py | urdubiometer/urdubiometer | 034c1efc0403352caa9c5c944cf9450b8833bb24 | [
"BSD-3-Clause"
] | null | null | null | urdubiometer/scanner/__init__.py | urdubiometer/urdubiometer | 034c1efc0403352caa9c5c944cf9450b8833bb24 | [
"BSD-3-Clause"
] | 220 | 2019-07-30T19:20:59.000Z | 2022-03-28T10:33:19.000Z | urdubiometer/scanner/__init__.py | urdubiometer/urdubiometer | 034c1efc0403352caa9c5c944cf9450b8833bb24 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Sub-level package for Scanner, a metrical scanner in Urdu BioMeter."""
__author__ = """A. Sean Pue"""
__email__ = "[email protected]"
from .scanner import * # noqa
from .ghazal import * # noqa
from .types import * # noqa
| 22.727273 | 73 | 0.652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 146 | 0.584 |
ae87c58fe103e3173ad0eb9f9da060726e492203 | 346 | py | Python | search01.py | kekelele/canlib-for-kvaser | 5f7f55319a33956de0bb9a1376ee7fbf897b8c4b | [
"Apache-2.0"
] | null | null | null | search01.py | kekelele/canlib-for-kvaser | 5f7f55319a33956de0bb9a1376ee7fbf897b8c4b | [
"Apache-2.0"
] | null | null | null | search01.py | kekelele/canlib-for-kvaser | 5f7f55319a33956de0bb9a1376ee7fbf897b8c4b | [
"Apache-2.0"
] | 1 | 2019-08-16T04:25:44.000Z | 2019-08-16T04:25:44.000Z | from canlib import canlib
num_channels = canlib.getNumberOfChannels()
print("Found %d channels" % num_channels)
for ch in range(0, num_channels):
chdata = canlib.ChannelData(ch)
print("%d. %s (%s / %s)" % (ch, chdata.device_name,
chdata.card_upc_no,
... | 38.444444 | 55 | 0.592486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0.106936 |
ae882f531080b30ee1443e5c07ad6e5e57ec1e85 | 2,208 | py | Python | src/assisted_test_infra/test_infra/helper_classes/config/base_config.py | nirarg/assisted-test-infra | e07c43501c1d9bfaa1aee3aea49f1ef359faee07 | [
"Apache-2.0"
] | null | null | null | src/assisted_test_infra/test_infra/helper_classes/config/base_config.py | nirarg/assisted-test-infra | e07c43501c1d9bfaa1aee3aea49f1ef359faee07 | [
"Apache-2.0"
] | null | null | null | src/assisted_test_infra/test_infra/helper_classes/config/base_config.py | nirarg/assisted-test-infra | e07c43501c1d9bfaa1aee3aea49f1ef359faee07 | [
"Apache-2.0"
] | null | null | null | from abc import ABC, abstractmethod
from dataclasses import asdict, dataclass
from typing import Any
from triggers.env_trigger import DataPool, Triggerable
@dataclass
class BaseConfig(Triggerable, ABC):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def __post_init__(self):
... | 30.666667 | 89 | 0.613225 | 2,037 | 0.922554 | 0 | 0 | 2,048 | 0.927536 | 0 | 0 | 402 | 0.182065 |
ae8a201243a94cc44dd5cdf663f89bc62c36cf5a | 917 | py | Python | licensecheck/types.py | matthewdeanmartin/LicenseCheck | 54063d10d2033adc77fe12ddac6c0ced1a5e6502 | [
"MIT"
] | null | null | null | licensecheck/types.py | matthewdeanmartin/LicenseCheck | 54063d10d2033adc77fe12ddac6c0ced1a5e6502 | [
"MIT"
] | null | null | null | licensecheck/types.py | matthewdeanmartin/LicenseCheck | 54063d10d2033adc77fe12ddac6c0ced1a5e6502 | [
"MIT"
] | null | null | null | """PackageCompat type.
"""
from __future__ import annotations
import typing
from enum import Enum
class PackageInfo(typing.TypedDict):
"""PackageInfo type."""
name: str
version: str
namever: str
size: int
home_page: str
author: str
license: str
class PackageCompat(PackageInfo):
"""PackageCompat type."""
... | 14.107692 | 56 | 0.687023 | 809 | 0.882225 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0.269357 |