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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d41a817115527c10936523c9881e84ea18dab888 | 670 | py | Python | install.py | mattgonley/YoutubeDownloader | a355bf5253ac51c4d38f2687d8bb914b0a2453f4 | [
"MIT"
] | null | null | null | install.py | mattgonley/YoutubeDownloader | a355bf5253ac51c4d38f2687d8bb914b0a2453f4 | [
"MIT"
] | null | null | null | install.py | mattgonley/YoutubeDownloader | a355bf5253ac51c4d38f2687d8bb914b0a2453f4 | [
"MIT"
] | null | null | null | import re
import subprocess
import os
dir_path = os.path.dirname(os.path.realpath(__file__))
os.chdir(dir_path)
os.system("pip install -r requirements.txt")
output = subprocess.Popen("pip show pytube3", shell=True, stdout=subprocess.PIPE)
location = str(output.stdout.read())
location = location.split("Location: ")[1]... | 25.769231 | 81 | 0.659701 |
d41adddec32389df490b08b3e064b902485f5140 | 81 | py | Python | __init__.py | Alex2Yang97/recommender | 03802928d36187fb2343ccfabdda3e4cd9f5052c | [
"MIT"
] | null | null | null | __init__.py | Alex2Yang97/recommender | 03802928d36187fb2343ccfabdda3e4cd9f5052c | [
"MIT"
] | null | null | null | __init__.py | Alex2Yang97/recommender | 03802928d36187fb2343ccfabdda3e4cd9f5052c | [
"MIT"
] | null | null | null | # -*- coding:utf8 -*-
"""
@Author: Zhirui(Alex) Yang
@Date: 2021/4/25 11:07
""" | 16.2 | 26 | 0.580247 |
d41c246eefc15d8d3083a747dabb628f9d6509fa | 15,258 | py | Python | achievements/admin.py | kaduuuken/achievementsystem | 40ae93193c5f4b6968161d94eeda56455ec700e4 | [
"BSD-2-Clause"
] | 1 | 2017-01-30T13:38:48.000Z | 2017-01-30T13:38:48.000Z | achievements/admin.py | kaduuuken/achievementsystem | 40ae93193c5f4b6968161d94eeda56455ec700e4 | [
"BSD-2-Clause"
] | null | null | null | achievements/admin.py | kaduuuken/achievementsystem | 40ae93193c5f4b6968161d94eeda56455ec700e4 | [
"BSD-2-Clause"
] | null | null | null | from models import Achievement, Category, Trophy, CollectionAchievement, Progress, ProgressAchievement, Task, TaskAchievement, TaskProgress
from django.contrib import admin
from django import forms
from django.core.exceptions import ValidationError
from django.contrib.admin.widgets import FilteredSelectMultiple
from dj... | 52.253425 | 152 | 0.577402 |
d41c8c0be9a5740cf81ee2596760f90253aa73e4 | 6,072 | py | Python | tests/test_tracing_trace.py | rgstephens/opentracing-decorator | b69f4e8f998509dd51f4e27b16fcf6f6a069cd22 | [
"MIT"
] | 4 | 2021-01-26T14:07:57.000Z | 2021-06-19T04:25:53.000Z | tests/test_tracing_trace.py | rgstephens/opentracing-decorator | b69f4e8f998509dd51f4e27b16fcf6f6a069cd22 | [
"MIT"
] | null | null | null | tests/test_tracing_trace.py | rgstephens/opentracing-decorator | b69f4e8f998509dd51f4e27b16fcf6f6a069cd22 | [
"MIT"
] | 2 | 2021-06-15T07:25:08.000Z | 2021-06-28T20:06:39.000Z | import numbers
import unittest
import uuid
from unittest.mock import MagicMock, create_autospec
from opentracing.mocktracer import MockTracer
from opentracing_decorator.tracing import Tracing
| 30.512563 | 105 | 0.626318 |
d41ed59bce4a8a7da74b24c4a6a147cb2104a9b5 | 2,652 | py | Python | gamestonk_terminal/economy/yfinance_model.py | jbushago/GamestonkTerminal | 73a2b419664bf62bbdc59aa8402c8cd6a913a518 | [
"MIT"
] | 1 | 2022-03-19T23:53:38.000Z | 2022-03-19T23:53:38.000Z | gamestonk_terminal/economy/yfinance_model.py | jbushago/GamestonkTerminal | 73a2b419664bf62bbdc59aa8402c8cd6a913a518 | [
"MIT"
] | null | null | null | gamestonk_terminal/economy/yfinance_model.py | jbushago/GamestonkTerminal | 73a2b419664bf62bbdc59aa8402c8cd6a913a518 | [
"MIT"
] | null | null | null | """ Yahoo Finance Model """
__docformat__ = "numpy"
import logging
import pandas as pd
import yfinance as yf
from gamestonk_terminal.decorators import log_start_end
from gamestonk_terminal.rich_config import console
logger = logging.getLogger(__name__)
INDICES = {
"sp500": {"name": "S&P 500", "ticker": "^GSPC"... | 30.482759 | 84 | 0.595777 |
d41ef94acb52f3afd84b6e9a9e73f60066eab1a9 | 655 | py | Python | practise.py | purva-saxena/Python-programming | 9458ddca9fc890eeb1fb3a16ceed74cedfcb116d | [
"MIT"
] | 14 | 2020-09-29T07:29:33.000Z | 2020-11-03T04:26:39.000Z | practise.py | purva-saxena/Python-programming | 9458ddca9fc890eeb1fb3a16ceed74cedfcb116d | [
"MIT"
] | 4 | 2020-10-23T18:10:50.000Z | 2020-10-29T18:39:20.000Z | practise.py | purva-saxena/Python-programming | 9458ddca9fc890eeb1fb3a16ceed74cedfcb116d | [
"MIT"
] | 5 | 2020-10-15T23:49:29.000Z | 2020-10-28T20:16:42.000Z | # # example string
# string = 'cat'
# width = 5
# print right justified string
# print(string.rjust(width))
# print(string.rjust(width))
# # example string
# string = 'cat'
# width = 5
# fillchar = '*'
# # print right justified string
# print(string.rjust(width, fillchar))
# # .centre function
# string = "Python ... | 17.702703 | 54 | 0.638168 |
d422b7cb06b483493c18a2de3e449c2ec2e0806e | 3,929 | py | Python | ooobuild/lo/awt/end_docking_event.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/awt/end_docking_event.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/awt/end_docking_event.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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... | 33.29661 | 234 | 0.662764 |
d422e2f11fc3f08a2a812b8405d9e3224cdf112d | 1,375 | py | Python | XSD/XSDValidator.py | ghajba/python | ac46c4df869827f70d4e0802c473d7e2912873a8 | [
"MIT"
] | 3 | 2015-04-08T05:48:31.000Z | 2018-03-05T07:59:49.000Z | XSD/XSDValidator.py | ghajba/python | ac46c4df869827f70d4e0802c473d7e2912873a8 | [
"MIT"
] | null | null | null | XSD/XSDValidator.py | ghajba/python | ac46c4df869827f70d4e0802c473d7e2912873a8 | [
"MIT"
] | null | null | null | # Simple XML against XSD Validator for Python 2.7 - 3.2
# to run this script you need additionally: lxml (http://lxml.de)
# author: Gabor Laszlo Hajba, 2013
import sys
from lxml import etree
xsd_files = []
xml_files = []
def validate_files():
""" validates every xml file against every schema file"""
for ... | 29.891304 | 75 | 0.571636 |
d4233942f4bd4c720e840913a88f6f374b525e6a | 112 | py | Python | auxiliary/templatetags/hashtag.py | navotsil/Open-Knesset | d6cc6457f87e67a3dbeaec9c1ccbc8d8b7c60c04 | [
"BSD-3-Clause"
] | 69 | 2015-02-03T12:02:56.000Z | 2022-02-16T13:08:01.000Z | auxiliary/templatetags/hashtag.py | navotsil/Open-Knesset | d6cc6457f87e67a3dbeaec9c1ccbc8d8b7c60c04 | [
"BSD-3-Clause"
] | 446 | 2015-01-01T11:10:33.000Z | 2021-11-01T08:15:39.000Z | auxiliary/templatetags/hashtag.py | navotsil/Open-Knesset | d6cc6457f87e67a3dbeaec9c1ccbc8d8b7c60c04 | [
"BSD-3-Clause"
] | 67 | 2015-01-01T09:13:58.000Z | 2021-11-01T07:51:08.000Z | from django import template
register = template.Library()
| 16 | 29 | 0.732143 |
d4246e25860579a29b30485c3d1b321ea8dadcaf | 275 | py | Python | questao6.py | higorcastro17/Avaliacao1 | 30d727d9c85fd532a6a6264fa50eee7d34a57bbf | [
"Apache-2.0"
] | null | null | null | questao6.py | higorcastro17/Avaliacao1 | 30d727d9c85fd532a6a6264fa50eee7d34a57bbf | [
"Apache-2.0"
] | null | null | null | questao6.py | higorcastro17/Avaliacao1 | 30d727d9c85fd532a6a6264fa50eee7d34a57bbf | [
"Apache-2.0"
] | null | null | null | turno = input('M-matutino, V-vespertino, N-noturno: ')
if (turno == 'M')or(turno == 'm') :
print ('Bom Dia')
if (turno == 'V')or(turno == 'v'):
print ('Boa Tarde')
if (turno == 'N')or(turno == 'n'):
print ('Boa Noite')
else:
print ('Valor invlido')
| 27.5 | 55 | 0.527273 |
d4249f69da262cb3a39e11f79c9b161bcd9b7173 | 48 | py | Python | tests/components/luftdaten/__init__.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | tests/components/luftdaten/__init__.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | tests/components/luftdaten/__init__.py | jagadeeshvenkatesh/core | 1bd982668449815fee2105478569f8e4b5670add | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """Define tests for the Luftdaten component."""
| 24 | 47 | 0.729167 |
d42502013a724d256a3f3b74c173fa598ca64b62 | 490 | py | Python | b0mb3r/services/webbankir.py | Superior0/b0mb3r_r | 216b1851303f5101b09457ba31749b63e4d0d5e8 | [
"Apache-2.0"
] | null | null | null | b0mb3r/services/webbankir.py | Superior0/b0mb3r_r | 216b1851303f5101b09457ba31749b63e4d0d5e8 | [
"Apache-2.0"
] | null | null | null | b0mb3r/services/webbankir.py | Superior0/b0mb3r_r | 216b1851303f5101b09457ba31749b63e4d0d5e8 | [
"Apache-2.0"
] | null | null | null | from b0mb3r.services.service import Service
| 28.823529 | 58 | 0.512245 |
d4254df5226f1fbca945831c16a37f0346ea800a | 511 | py | Python | login.py | sgravrock/flickr-to-go | 42badc3c08acfb834505ea31e76a50b7b81aec31 | [
"MIT"
] | null | null | null | login.py | sgravrock/flickr-to-go | 42badc3c08acfb834505ea31e76a50b7b81aec31 | [
"MIT"
] | null | null | null | login.py | sgravrock/flickr-to-go | 42badc3c08acfb834505ea31e76a50b7b81aec31 | [
"MIT"
] | null | null | null | import os
import sys
import flickr_api
from flickr_api import auth
a = auth.AuthHandler(key=os.environ['FLICKR_API_KEY'], secret=os.environ['FLICKR_API_SECRET'], callback='oob')
print("Open this in your browser: " + a.get_authorization_url('read'))
print("Once you finish logging in, enter the code from the browser: ")... | 30.058824 | 110 | 0.759295 |
d4254f76dfd5ea2d8a20ec85e3bc7b40b5572cba | 244 | py | Python | cupyx/scipy/special/_statistics.py | Pandinosaurus/cupy | c98064928c8242d0c6a07e2c714e6c811f684a4e | [
"MIT"
] | 1 | 2021-05-16T11:52:30.000Z | 2021-05-16T11:52:30.000Z | cupyx/scipy/special/_statistics.py | Pandinosaurus/cupy | c98064928c8242d0c6a07e2c714e6c811f684a4e | [
"MIT"
] | 8 | 2019-02-11T17:20:01.000Z | 2021-09-08T01:14:51.000Z | cupyx/scipy/special/_statistics.py | Pandinosaurus/cupy | c98064928c8242d0c6a07e2c714e6c811f684a4e | [
"MIT"
] | 1 | 2021-01-08T14:16:53.000Z | 2021-01-08T14:16:53.000Z | from cupy import _core
ndtr = _core.create_ufunc(
'cupyx_scipy_ndtr', ('f->f', 'd->d'),
'out0 = normcdf(in0)',
doc='''Cumulative distribution function of normal distribution.
.. seealso:: :meth:`scipy.special.ndtr`
''')
| 20.333333 | 67 | 0.631148 |
d425877abba4e1d9027f49ed030c5510ffa8f6f2 | 827 | py | Python | zshoes/articles/models.py | andresgz/zshoes | a9c2a11a0059558719cb5694b168022c9a18d24e | [
"BSD-3-Clause"
] | null | null | null | zshoes/articles/models.py | andresgz/zshoes | a9c2a11a0059558719cb5694b168022c9a18d24e | [
"BSD-3-Clause"
] | null | null | null | zshoes/articles/models.py | andresgz/zshoes | a9c2a11a0059558719cb5694b168022c9a18d24e | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from zshoes.stores.models import Store
| 28.517241 | 61 | 0.732769 |
d425a87d278fdb1d8bc123af1626c4050e1112e2 | 1,465 | py | Python | Cousins_in_Binary_Tree.py | raniyer/Learning-competitive-coding | e79ab7f1cd74bd635ccc1d817db65d8101289c9c | [
"MIT"
] | 2 | 2020-05-16T03:38:32.000Z | 2020-06-04T13:41:28.000Z | Cousins_in_Binary_Tree.py | raniyer/30daysofcode-May-leetcode | e79ab7f1cd74bd635ccc1d817db65d8101289c9c | [
"MIT"
] | null | null | null | Cousins_in_Binary_Tree.py | raniyer/30daysofcode-May-leetcode | e79ab7f1cd74bd635ccc1d817db65d8101289c9c | [
"MIT"
] | null | null | null | """
In a binary tree, the root node is at depth 0, and children of each depth k node are at depth k+1.
Two nodes of a binary tree are cousins if they have the same depth, but have different parents.
We are given the root of a binary tree with unique values, and the values x and y of two different nodes in the tree.
R... | 31.170213 | 117 | 0.6 |
d425fc5115d843da5d542a9a1da650d07eb3e7e7 | 5,901 | py | Python | main.py | Smaniac1/02-Text-adeventure | e6b408cc346c6eb6075392234dc417cb0b2e914a | [
"MIT"
] | null | null | null | main.py | Smaniac1/02-Text-adeventure | e6b408cc346c6eb6075392234dc417cb0b2e914a | [
"MIT"
] | null | null | null | main.py | Smaniac1/02-Text-adeventure | e6b408cc346c6eb6075392234dc417cb0b2e914a | [
"MIT"
] | 2 | 2020-02-04T16:33:35.000Z | 2020-02-07T04:02:38.000Z | #!/usr/bin/env python3
import sys, os, json
import random
# Check to make sure we are running the correct version of Python
assert sys.version_info >= (3,7), "This script requires at least Python 3.7"
# The game and item description files (in the same folder as this script)
game_file = 'game.json'
# Load the content... | 42.76087 | 190 | 0.583799 |
d42991c0d12b55b22c402b0c3a599dfe5b5b8cdb | 1,637 | py | Python | tests/fixtures/defxmlschema/chapter16/example1607.py | nimish/xsdata | 7afe2781b66982428cc1731f53c065086acd35c1 | [
"MIT"
] | null | null | null | tests/fixtures/defxmlschema/chapter16/example1607.py | nimish/xsdata | 7afe2781b66982428cc1731f53c065086acd35c1 | [
"MIT"
] | null | null | null | tests/fixtures/defxmlschema/chapter16/example1607.py | nimish/xsdata | 7afe2781b66982428cc1731f53c065086acd35c1 | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from typing import Optional
from tests.fixtures.defxmlschema.chapter22.example2207 import (
ProductType,
)
| 19.034884 | 63 | 0.48931 |
d42a0af3f17b3dbc0f8ef130a5ff8a3db39f80c0 | 1,860 | py | Python | pydisco/disco/modutil.py | jseppanen/disco | 23ef8badfc7c539672e8834875d9908974b646dc | [
"BSD-3-Clause"
] | 2 | 2016-05-09T17:03:08.000Z | 2016-07-19T11:27:54.000Z | pydisco/disco/modutil.py | jseppanen/disco | 23ef8badfc7c539672e8834875d9908974b646dc | [
"BSD-3-Clause"
] | null | null | null | pydisco/disco/modutil.py | jseppanen/disco | 23ef8badfc7c539672e8834875d9908974b646dc | [
"BSD-3-Clause"
] | null | null | null | import re, struct, sys, os, imp, modulefinder
import functools
from os.path import abspath, dirname
from opcode import opname
from disco.error import ModUtilImportError
| 35.09434 | 88 | 0.63871 |
d42b94352b7c3c7e5fe8e652dabf68483b72d935 | 524 | py | Python | structures/cycle.py | TheBiggerFish/fishpy | 632a7c603a33ad694650aa2bed058931775a4259 | [
"MIT"
] | null | null | null | structures/cycle.py | TheBiggerFish/fishpy | 632a7c603a33ad694650aa2bed058931775a4259 | [
"MIT"
] | null | null | null | structures/cycle.py | TheBiggerFish/fishpy | 632a7c603a33ad694650aa2bed058931775a4259 | [
"MIT"
] | null | null | null | """
This module provides a sequence class which can be used for cyclic values
"""
from typing import Generic, TypeVar
T = TypeVar('T')
| 24.952381 | 73 | 0.65458 |
d42e0ce8da4215b15f40a373a9f844993869adf9 | 3,003 | py | Python | SerialLogger_spectro.py | szajakubiak/SerialLogger_spectro | ddb6da31955b6a5ff34d96555bd3000863378396 | [
"MIT"
] | null | null | null | SerialLogger_spectro.py | szajakubiak/SerialLogger_spectro | ddb6da31955b6a5ff34d96555bd3000863378396 | [
"MIT"
] | null | null | null | SerialLogger_spectro.py | szajakubiak/SerialLogger_spectro | ddb6da31955b6a5ff34d96555bd3000863378396 | [
"MIT"
] | null | null | null | """
Read and save data from the SparkFun Triad Spectroscopy Sensor
by
Szymon Jakubiak
Twitter: @SzymonJakubiak
LinkedIn: https://www.linkedin.com/in/szymon-jakubiak-495442127/
"""
import serial, time
from datetime import datetime
# Specify serial port
device_port = "COM194"
# Specify output file ... | 29.441176 | 166 | 0.642025 |
d42e217f0e3b4b173a405214d76e0e8bf0d90bff | 875 | py | Python | djangoq_demo/order_reminder/migrations/0001_initial.py | forance/django-q | 2b42fb173ab374760260692eda5b5445c7121e90 | [
"MIT"
] | null | null | null | djangoq_demo/order_reminder/migrations/0001_initial.py | forance/django-q | 2b42fb173ab374760260692eda5b5445c7121e90 | [
"MIT"
] | null | null | null | djangoq_demo/order_reminder/migrations/0001_initial.py | forance/django-q | 2b42fb173ab374760260692eda5b5445c7121e90 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-03-17 12:32
from __future__ import unicode_literals
from django.db import migrations, models
| 32.407407 | 118 | 0.614857 |
d42e87a70daf7c5c21ab93e0d8ceaff49c1c9d92 | 3,155 | py | Python | src/algorithms/05-tic-tac-toe/test_board.py | SamVanhoutte/python-musings | 18e9b6b366af6c072a5d928f95f30ea88f01f540 | [
"MIT"
] | null | null | null | src/algorithms/05-tic-tac-toe/test_board.py | SamVanhoutte/python-musings | 18e9b6b366af6c072a5d928f95f30ea88f01f540 | [
"MIT"
] | null | null | null | src/algorithms/05-tic-tac-toe/test_board.py | SamVanhoutte/python-musings | 18e9b6b366af6c072a5d928f95f30ea88f01f540 | [
"MIT"
] | null | null | null | ###############################################
# Sam Vanhoutte - PG Applied AI - Programming
# Unit tests, for the graph algorithms
###############################################
import unittest # unit testing ftw
from board import Board
import numpy as np
import play
| 32.193878 | 89 | 0.409826 |
d43249d872053b3e214cf2a595c7a9acd99c13ea | 134 | py | Python | vulture/pipelines.py | aksiksi/vulture | 5b5a198b64e3a4ce2822e71ba148c50e0ea29b9a | [
"MIT"
] | null | null | null | vulture/pipelines.py | aksiksi/vulture | 5b5a198b64e3a4ce2822e71ba148c50e0ea29b9a | [
"MIT"
] | null | null | null | vulture/pipelines.py | aksiksi/vulture | 5b5a198b64e3a4ce2822e71ba148c50e0ea29b9a | [
"MIT"
] | null | null | null | from scrapy.exceptions import DropItem
| 22.333333 | 41 | 0.746269 |
d435307fb7e6fe7161d6d680690a18d1e1b777c2 | 1,365 | py | Python | qcfractal/dashboard/index.py | radical-cybertools/QCFractal | 676997ef4bc267ae9adfe0064843c42a5701dcf4 | [
"BSD-3-Clause"
] | null | null | null | qcfractal/dashboard/index.py | radical-cybertools/QCFractal | 676997ef4bc267ae9adfe0064843c42a5701dcf4 | [
"BSD-3-Clause"
] | null | null | null | qcfractal/dashboard/index.py | radical-cybertools/QCFractal | 676997ef4bc267ae9adfe0064843c42a5701dcf4 | [
"BSD-3-Clause"
] | null | null | null | import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from . import dash_managers, dash_queue, dash_service
from .app import app
from .navbar import navbar
body = dbc.Container(
[
dbc.Row([
dbc... | 27.857143 | 91 | 0.541392 |
d435461f6446f8bd12567862d756a7056de51c60 | 5,442 | py | Python | xgboost_algorithm/CreateDataSet.py | SmileOfHeart/xgboostTrain_accuracyStop | 3d3526dd772ec9e6c017192660cb759a35d86b58 | [
"MIT"
] | 3 | 2020-11-02T12:52:16.000Z | 2021-07-09T22:29:56.000Z | xgboost_algorithm/CreateDataSet.py | SmileOfHeart/xgboostTrain_accuracyStop | 3d3526dd772ec9e6c017192660cb759a35d86b58 | [
"MIT"
] | null | null | null | xgboost_algorithm/CreateDataSet.py | SmileOfHeart/xgboostTrain_accuracyStop | 3d3526dd772ec9e6c017192660cb759a35d86b58 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Apr 8 11:09:33 2019
@author: 10365
"""
#CreateDataSet
import numpy as np
import sys
sys.path.append('../subway_system')
sys.path.append('../ato_agent')
import TrainAndRoadCharacter as trc
import trainRunningModel as trm
import pandas as pds
import matplotlib.pyplot as pl... | 29.416216 | 94 | 0.55384 |
d43584562055e451dc250df38860917c6f212609 | 907 | py | Python | inventory.py | justinwatkinson/ecs-weave-demo | ceb546f8bdf8ca5403ab3bc9864ac82409fef395 | [
"MIT"
] | null | null | null | inventory.py | justinwatkinson/ecs-weave-demo | ceb546f8bdf8ca5403ab3bc9864ac82409fef395 | [
"MIT"
] | null | null | null | inventory.py | justinwatkinson/ecs-weave-demo | ceb546f8bdf8ca5403ab3bc9864ac82409fef395 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import boto3
import json
if __name__ == '__main__':
ec2_client = boto3.client('ec2')
ec2_filter = [{'Name': 'tag:role', 'Values': ['ecs-cluster']}]
instances=ec2_client.describe_tags(Filters=ec2_filter)
#get only the instance_ids
instance_ids = []
for i in instances['Tags'... | 30.233333 | 92 | 0.670342 |
d436a15bb829f11eeddbeb85790fd845c784bd6a | 1,115 | py | Python | examples/surface.py | pedromxavier/svg-motion | 016d95d3302b5519954b89e489f7394bb64eeea9 | [
"MIT"
] | null | null | null | examples/surface.py | pedromxavier/svg-motion | 016d95d3302b5519954b89e489f7394bb64eeea9 | [
"MIT"
] | null | null | null | examples/surface.py | pedromxavier/svg-motion | 016d95d3302b5519954b89e489f7394bb64eeea9 | [
"MIT"
] | null | null | null | from cstream import stdwar
from svgen import Point, Vector, SVG, Figure, Camera, Domain, Map, Surface, Animation
from math import radians, sin, cos, pi, hypot, sqrt
import sys
from tqdm import tqdm
from svgen.svglib.math import Transform
COLOR = "#3703b3"
if len(sys.argv) > 1 and sys.argv[1] == "-o":
proj = C... | 19.910714 | 85 | 0.596413 |
d439037ffb5d79c61b4fbc99b0bc04b3e553d76d | 1,493 | py | Python | samples/vis_amass_and_h36m.py | zaverichintan/mocap | 43db09af5be092b73ce5d1df1d1834a865d62441 | [
"MIT"
] | 22 | 2019-04-17T13:42:47.000Z | 2022-03-03T23:48:16.000Z | samples/vis_amass_and_h36m.py | zaverichintan/mocap | 43db09af5be092b73ce5d1df1d1834a865d62441 | [
"MIT"
] | 5 | 2019-04-17T13:57:25.000Z | 2021-04-16T12:31:38.000Z | samples/vis_amass_and_h36m.py | zaverichintan/mocap | 43db09af5be092b73ce5d1df1d1834a865d62441 | [
"MIT"
] | 3 | 2020-08-27T19:32:40.000Z | 2021-02-24T08:52:23.000Z | import sys
sys.path.insert(0, '../')
from mocap.settings import get_amass_validation_files, get_amass_test_files
from mocap.math.amass_fk import rotmat2euclidean, exp2euclidean
from mocap.visualization.sequence import SequenceVisualizer
from mocap.math.mirror_smpl import mirror_p3d
from mocap.datasets.dataset import Li... | 27.145455 | 102 | 0.734092 |
d43e75fb89304bc9b1ab29d6bf1e74be0ea2345f | 1,222 | py | Python | review/tests/test_review_model.py | hossainchisty/Multi-Vendor-eCommerce | 42c5f62b8b098255cc9ea57858d3cc7de94bd76a | [
"MIT"
] | 16 | 2021-09-22T19:08:28.000Z | 2022-03-18T18:57:02.000Z | review/tests/test_review_model.py | hossainchisty/Multi-Vendor-eCommerce | 42c5f62b8b098255cc9ea57858d3cc7de94bd76a | [
"MIT"
] | 6 | 2021-09-30T12:36:02.000Z | 2022-03-18T22:18:00.000Z | review/tests/test_review_model.py | hossainchisty/Multi-Vendor-eCommerce | 42c5f62b8b098255cc9ea57858d3cc7de94bd76a | [
"MIT"
] | 6 | 2021-12-06T02:04:51.000Z | 2022-03-13T14:38:14.000Z | from django.test import TestCase
from review.models import Review
| 27.772727 | 85 | 0.58347 |
d43edfd68011c8d5534ee2b154094bc55dd24e36 | 146 | py | Python | app.py | BodhisattwaMandal/wembedder | dd384db9a021cb7e3682f4153226d5fe53d05c9f | [
"Apache-2.0",
"MIT"
] | 42 | 2017-08-15T20:51:40.000Z | 2021-07-01T15:33:58.000Z | app.py | BodhisattwaMandal/wembedder | dd384db9a021cb7e3682f4153226d5fe53d05c9f | [
"Apache-2.0",
"MIT"
] | 17 | 2017-07-07T17:46:34.000Z | 2021-07-31T19:54:03.000Z | app.py | BodhisattwaMandal/wembedder | dd384db9a021cb7e3682f4153226d5fe53d05c9f | [
"Apache-2.0",
"MIT"
] | 11 | 2017-09-10T09:02:14.000Z | 2021-07-02T08:50:46.000Z | """Script to start webserving."""
from wembedder.app import create_app
app = create_app()
if __name__ == '__main__':
app.run(debug=True)
| 13.272727 | 36 | 0.691781 |
d43f5fac407ab9b3be82deb729884bcc04eb0392 | 837 | py | Python | src/openprocurement/tender/esco/procedure/serializers/bid.py | ProzorroUKR/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 10 | 2020-02-18T01:56:21.000Z | 2022-03-28T00:32:57.000Z | src/openprocurement/tender/esco/procedure/serializers/bid.py | quintagroup/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 26 | 2018-07-16T09:30:44.000Z | 2021-02-02T17:51:30.000Z | src/openprocurement/tender/esco/procedure/serializers/bid.py | ProzorroUKR/openprocurement.api | 2855a99aa8738fb832ee0dbad4e9590bd3643511 | [
"Apache-2.0"
] | 15 | 2019-08-08T10:50:47.000Z | 2022-02-05T14:13:36.000Z | from openprocurement.tender.core.procedure.serializers.base import ListSerializer
from openprocurement.tender.core.procedure.serializers.document import ConfidentialDocumentSerializer
from openprocurement.tender.core.procedure.serializers.parameter import ParameterSerializer
from openprocurement.tender.esco.procedure.s... | 52.3125 | 101 | 0.833931 |
d43f83ab5c2744fdc647f132c26f7230c9704e59 | 11,807 | py | Python | lib/model/config.py | Li-Chengyang/MSDS-RCNN | 9f141d7d381e81c915043f5b41949d462a47a570 | [
"MIT"
] | 56 | 2018-11-12T11:34:48.000Z | 2022-03-22T12:10:47.000Z | lib/model/config.py | buyiasd/MSDS-RCNN | 9f141d7d381e81c915043f5b41949d462a47a570 | [
"MIT"
] | 16 | 2018-11-23T10:14:20.000Z | 2020-07-20T10:22:57.000Z | lib/model/config.py | buyiasd/MSDS-RCNN | 9f141d7d381e81c915043f5b41949d462a47a570 | [
"MIT"
] | 19 | 2018-12-14T08:38:41.000Z | 2021-09-07T14:40:08.000Z | # -------------------------------------------------------------------------
# MSDS R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by Chengyang Li, based on code from Ross Girshick and Xinlei Chen
# -------------------------------------------------------------------------
from __future__ impo... | 27.978673 | 90 | 0.717456 |
d440eef1ac6ed0041cd5b7754c67ef56462ba998 | 1,876 | py | Python | tensorflow_federated/python/core/impl/bindings_utils/data_conversions.py | RyanMarten/federated | 43169e4224b169ad58927b783c680f4ff52d743a | [
"Apache-2.0"
] | 1,918 | 2019-02-22T21:17:28.000Z | 2022-03-30T14:49:53.000Z | tensorflow_federated/python/core/impl/bindings_utils/data_conversions.py | RyanMarten/federated | 43169e4224b169ad58927b783c680f4ff52d743a | [
"Apache-2.0"
] | 999 | 2019-02-22T21:47:44.000Z | 2022-03-31T11:06:42.000Z | tensorflow_federated/python/core/impl/bindings_utils/data_conversions.py | RyanMarten/federated | 43169e4224b169ad58927b783c680f4ff52d743a | [
"Apache-2.0"
] | 498 | 2019-02-22T21:17:56.000Z | 2022-03-29T02:54:15.000Z | # Copyright 2021, The TensorFlow Federated 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 applicable law o... | 45.756098 | 79 | 0.703092 |
d442c238e8821d0cdc0c3f3b94495eca939a45ec | 2,987 | py | Python | app/routes.py | mattkantor/basic-flask-app | ec893ca44b1c9c4772c24b81394b58644fefd29a | [
"MIT"
] | null | null | null | app/routes.py | mattkantor/basic-flask-app | ec893ca44b1c9c4772c24b81394b58644fefd29a | [
"MIT"
] | null | null | null | app/routes.py | mattkantor/basic-flask-app | ec893ca44b1c9c4772c24b81394b58644fefd29a | [
"MIT"
] | null | null | null | from app.api.feed import FeedController
from app.api.follows import FollowController
from .api import apiv1, app_routes
from .api.news import *
from .api.user import *
from .api.group import *
from .api.auth import get_auth_token, register
| 50.627119 | 143 | 0.667559 |
d443ffc231ba1b4079b706e3c986d5f57cc7a0ea | 9,178 | py | Python | openmdao/solvers/brent.py | naylor-b/OpenMDAO1 | 49d82f6601b33db9bdcf7d146d030d55e3b62ef4 | [
"Apache-2.0"
] | 17 | 2018-01-11T20:13:59.000Z | 2022-03-22T03:46:05.000Z | openmdao/solvers/brent.py | naylor-b/OpenMDAO1 | 49d82f6601b33db9bdcf7d146d030d55e3b62ef4 | [
"Apache-2.0"
] | 6 | 2017-10-19T23:14:14.000Z | 2020-11-22T17:30:57.000Z | openmdao/solvers/brent.py | naylor-b/OpenMDAO1 | 49d82f6601b33db9bdcf7d146d030d55e3b62ef4 | [
"Apache-2.0"
] | 10 | 2018-04-12T22:13:33.000Z | 2020-05-07T10:02:59.000Z | """ Brent Nonlinear solver."""
from six import iteritems
from math import isnan
import numpy as np
from scipy.optimize import brentq
from openmdao.core.system import AnalysisError
from openmdao.solvers.solver_base import NonLinearSolver
from openmdao.util.record_util import update_local_meta, create_local_meta
| 40.610619 | 188 | 0.629113 |
d44457cad4c1eeebb68fdcd9caeebd3c842c0840 | 1,943 | py | Python | uvu/test_retinanet.py | fabianfallasmoya/semi_supervised_v1 | 6e93c3a332a4a76cff6d0acdcdaae40a5123d1db | [
"Apache-2.0"
] | null | null | null | uvu/test_retinanet.py | fabianfallasmoya/semi_supervised_v1 | 6e93c3a332a4a76cff6d0acdcdaae40a5123d1db | [
"Apache-2.0"
] | null | null | null | uvu/test_retinanet.py | fabianfallasmoya/semi_supervised_v1 | 6e93c3a332a4a76cff6d0acdcdaae40a5123d1db | [
"Apache-2.0"
] | null | null | null | from typing import List
import argparse
from detectron2.evaluation import COCOEvaluator, inference_on_dataset
from detectron2.config import get_cfg
from detectron2 import model_zoo
from detectron2.data.datasets import register_coco_instances
from detectron2.data import build_detection_test_loader
from trainers import... | 36.660377 | 110 | 0.749357 |
d444f8f9a121cff708ebf20104289ad67bbd2b60 | 1,382 | py | Python | pixiedust/display/streamingDisplay.py | elgalu/pixiedust | e98b91b6ae5a974cbcda985fa305d0cb25b88ba0 | [
"Apache-2.0"
] | 598 | 2018-07-18T08:02:49.000Z | 2022-03-29T06:22:10.000Z | pixiedust/display/streamingDisplay.py | elgalu/pixiedust | e98b91b6ae5a974cbcda985fa305d0cb25b88ba0 | [
"Apache-2.0"
] | 236 | 2016-08-15T20:25:35.000Z | 2017-06-23T17:13:39.000Z | pixiedust/display/streamingDisplay.py | elgalu/pixiedust | e98b91b6ae5a974cbcda985fa305d0cb25b88ba0 | [
"Apache-2.0"
] | 87 | 2018-07-24T14:43:39.000Z | 2022-03-06T15:31:50.000Z | # -------------------------------------------------------------------------------
# Copyright IBM Corp. 2017
#
# 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/licens... | 44.580645 | 81 | 0.672214 |
d447f78a081c9de7b7d86d0bb7a218a3eb7c227e | 2,576 | py | Python | repl.py | PostCenter/botlang | 09f59cc4f8870507fab6101aecea65b316a347e8 | [
"MIT"
] | 1 | 2016-08-29T15:18:54.000Z | 2016-08-29T15:18:54.000Z | repl.py | PostCenter/botlang | 09f59cc4f8870507fab6101aecea65b316a347e8 | [
"MIT"
] | null | null | null | repl.py | PostCenter/botlang | 09f59cc4f8870507fab6101aecea65b316a347e8 | [
"MIT"
] | null | null | null | from botlang import Evaluator
from botlang.interpreter import BotlangSystem
from botlang.parser import Parser
if __name__ == '__main__':
BotlangREPL.run()
| 25.254902 | 76 | 0.519022 |
d448253fd36b0f18b3b060f1981126a0797ec2c8 | 1,598 | py | Python | main.py | LN-24111/RPC_Sim | 976dcc7f2acd533fe788347be3ed875ae418d766 | [
"MIT"
] | null | null | null | main.py | LN-24111/RPC_Sim | 976dcc7f2acd533fe788347be3ed875ae418d766 | [
"MIT"
] | null | null | null | main.py | LN-24111/RPC_Sim | 976dcc7f2acd533fe788347be3ed875ae418d766 | [
"MIT"
] | null | null | null | from tournament import *
from strategies import *
resultSetPoints = {}
resultSetWins = {}
observer = Documenter()
for i in range(100):
if i % 100 == 0:
print (i//100)
participants = []
# participants.append(WaPlayer1())
# participants.append(Adam())
# participants.append(Rock())
# participants.append(Paper())
... | 27.084746 | 80 | 0.721527 |
d4484ad6bf63fa89fa298eca8eea4369a0042fe5 | 7,795 | py | Python | npc/gui/uis/new_character.py | Arent128/npc | c8a1e227a1d4d7c540c4f4427b611ffc290535ee | [
"MIT"
] | null | null | null | npc/gui/uis/new_character.py | Arent128/npc | c8a1e227a1d4d7c540c4f4427b611ffc290535ee | [
"MIT"
] | null | null | null | npc/gui/uis/new_character.py | Arent128/npc | c8a1e227a1d4d7c540c4f4427b611ffc290535ee | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'npc/gui/uis/new_character.ui'
#
# Created by: PyQt5 UI code generator 5.7.1
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
| 61.377953 | 130 | 0.751123 |
d44927253825e1c5d306c639c38985c68db197c9 | 2,111 | py | Python | tests/integration/test_dataframe_logging.py | mbseid/rubicon | d48d34e4b6580ef29bb8dbe6a8ed473b954af087 | [
"Apache-2.0"
] | null | null | null | tests/integration/test_dataframe_logging.py | mbseid/rubicon | d48d34e4b6580ef29bb8dbe6a8ed473b954af087 | [
"Apache-2.0"
] | null | null | null | tests/integration/test_dataframe_logging.py | mbseid/rubicon | d48d34e4b6580ef29bb8dbe6a8ed473b954af087 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import pytest
from dask import dataframe as dd
from rubicon.exceptions import RubiconException
| 31.044118 | 112 | 0.720985 |
d449f83e2eb0a2d2d6d61b2e3a88d0cfd7006157 | 39,855 | py | Python | 820.py | tsbxmw/leetcode | e751311b8b5f2769874351717a22c35c19b48a36 | [
"MIT"
] | null | null | null | 820.py | tsbxmw/leetcode | e751311b8b5f2769874351717a22c35c19b48a36 | [
"MIT"
] | null | null | null | 820.py | tsbxmw/leetcode | e751311b8b5f2769874351717a22c35c19b48a36 | [
"MIT"
] | null | null | null | # S A
# ["time", "me", "bell"] S = "time#bell#" indexes = [0, 2, 5]
# S "#"
#
#
#
# : words = ["time", "me", "bell"]
# : 10
# : S = "time#bell#" indexes = [0, 2, 5]
#
#
# 1 <= words.length<= 2000
# 1 <=words[i].length<= 7
#
# LeetCode
# https://leetcode-cn.com/problems/shor... | 19.1795 | 87 | 0.325254 |
d44ada6e7253afc80766dd1dd14faf5ae21cedd3 | 837 | py | Python | src/constants.py | tiefenauer/ip9 | 4d50ee288f8a00f64a6f4a7d80639d3dc89df4e8 | [
"MIT"
] | 4 | 2019-06-02T02:56:38.000Z | 2021-11-06T02:29:26.000Z | src/constants.py | tiefenauer/ip9 | 4d50ee288f8a00f64a6f4a7d80639d3dc89df4e8 | [
"MIT"
] | null | null | null | src/constants.py | tiefenauer/ip9 | 4d50ee288f8a00f64a6f4a7d80639d3dc89df4e8 | [
"MIT"
] | null | null | null | import os
from os.path import abspath, dirname, join
SRC_DIR = dirname(abspath(__file__)) # absolute path to project ./src/ directory
ROOT_DIR = abspath(join(SRC_DIR, os.pardir)) # absolute path to project root directory
ASSETS_DIR = join(ROOT_DIR, 'assets')
LS_RAW = "/media/daniel/Data/corpus/librispeech-raw"
LS_... | 31 | 87 | 0.772999 |
d44c23f4260429a2ed754abb9b2f421c367d9fa9 | 2,753 | py | Python | app/core/migrations/0001_initial.py | Uniquode/uniquode2 | 385f3e0b26383c042d8da64b52350e82414580ea | [
"MIT"
] | null | null | null | app/core/migrations/0001_initial.py | Uniquode/uniquode2 | 385f3e0b26383c042d8da64b52350e82414580ea | [
"MIT"
] | null | null | null | app/core/migrations/0001_initial.py | Uniquode/uniquode2 | 385f3e0b26383c042d8da64b52350e82414580ea | [
"MIT"
] | null | null | null | # Generated by Django 3.2.7 on 2021-09-19 02:59
from django.conf import settings
from django.db import migrations, models
import django.db.models.manager
import markdownx.models
import components
| 46.661017 | 158 | 0.603342 |
d44d3d981f82a0cdf972455e9d88a4445545d2f0 | 161 | py | Python | livestock/slaughtering/doctype/chicken_co_packing/test_chicken_co_packing.py | jayan13/livestock | 75f4ccb246818d9cd55400d88fefbb36c168c713 | [
"MIT"
] | null | null | null | livestock/slaughtering/doctype/chicken_co_packing/test_chicken_co_packing.py | jayan13/livestock | 75f4ccb246818d9cd55400d88fefbb36c168c713 | [
"MIT"
] | null | null | null | livestock/slaughtering/doctype/chicken_co_packing/test_chicken_co_packing.py | jayan13/livestock | 75f4ccb246818d9cd55400d88fefbb36c168c713 | [
"MIT"
] | null | null | null | # Copyright (c) 2022, alantechnologies and Contributors
# See license.txt
# import frappe
import unittest
| 17.888889 | 55 | 0.801242 |
d44e45e9b90fc8e34b0ae5fc97646b84ba004c81 | 670 | py | Python | tests/utils/environment_vars.py | alanverresen/django-keys | bd99a9f059af8b84b141ab8bf9a5bc5730a6ba38 | [
"MIT"
] | null | null | null | tests/utils/environment_vars.py | alanverresen/django-keys | bd99a9f059af8b84b141ab8bf9a5bc5730a6ba38 | [
"MIT"
] | null | null | null | tests/utils/environment_vars.py | alanverresen/django-keys | bd99a9f059af8b84b141ab8bf9a5bc5730a6ba38 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Contains a context manager for temporarily introducing an environment var.
import os
import contextlib
| 25.769231 | 76 | 0.707463 |
d44e934fa1525818148b189132b9513d98218d03 | 25,355 | py | Python | data/analyzer.py | morelab/teseo2014 | 568ff66cf25bf7017dd371cf503f6b99df462fff | [
"Apache-2.0"
] | null | null | null | data/analyzer.py | morelab/teseo2014 | 568ff66cf25bf7017dd371cf503f6b99df462fff | [
"Apache-2.0"
] | null | null | null | data/analyzer.py | morelab/teseo2014 | 568ff66cf25bf7017dd371cf503f6b99df462fff | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 22 08:55:14 2014
@author: aitor
"""
import mysql.connector
import networkx as nx
from networkx.generators.random_graphs import barabasi_albert_graph
import json
import os.path
import numpy as np
import pandas as pd
from pandas import Series
from pandas import DataFrame
i... | 32.885863 | 221 | 0.559771 |
d453eb393dd54ae2eef12fe9e70bae23ed170871 | 1,076 | py | Python | user_service/user/schema/user_schema.py | ss-o-furda/part_of_proj-user_service | 20553eebaa2189cd47b08119850cd17ab0b1cd20 | [
"CC0-1.0"
] | null | null | null | user_service/user/schema/user_schema.py | ss-o-furda/part_of_proj-user_service | 20553eebaa2189cd47b08119850cd17ab0b1cd20 | [
"CC0-1.0"
] | 1 | 2021-06-02T02:43:39.000Z | 2021-06-02T02:43:39.000Z | user_service/user/schema/user_schema.py | ss-o-furda/part_of_proj-user_service | 20553eebaa2189cd47b08119850cd17ab0b1cd20 | [
"CC0-1.0"
] | null | null | null | from marshmallow import fields, validate, validates_schema, ValidationError
from user import MARSHMALLOW
from user.models.user_model import User
| 33.625 | 75 | 0.750929 |
d454419e3e6cdb058ce6e7d5edb4c86210ee2dd2 | 7,751 | py | Python | primal_dual_models.py | louisenaud/pytorch_primal_dual | 05e212729299174e918b6f53f380f78986bcc135 | [
"MIT"
] | 2 | 2019-04-01T03:39:24.000Z | 2022-03-12T01:13:38.000Z | primal_dual_models.py | louisenaud/pytorch_primal_dual | 05e212729299174e918b6f53f380f78986bcc135 | [
"MIT"
] | null | null | null | primal_dual_models.py | louisenaud/pytorch_primal_dual | 05e212729299174e918b6f53f380f78986bcc135 | [
"MIT"
] | null | null | null | """
Project: pytorch_primal_dual
File: primal_dual_models.py
Created by: louise
On: 29/11/17
At: 4:00 PM
"""
import numpy as np
from numpy import random
from torch.autograd import Variable
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import transforms
fr... | 34.602679 | 103 | 0.608051 |
d455611f97cde8ae042a94f5b98d6334789fdf55 | 485 | py | Python | .venv/lib/python3.6/site-packages/pyglet/media/sources/__init__.py | FedericoFontana/ray | 5a7feae15f8c74d5d196fea6697c1827008018f3 | [
"Apache-2.0"
] | 3 | 2019-04-01T11:03:04.000Z | 2019-12-31T02:17:15.000Z | .venv/lib/python3.6/site-packages/pyglet/media/sources/__init__.py | FedericoFontana/ray | 5a7feae15f8c74d5d196fea6697c1827008018f3 | [
"Apache-2.0"
] | 1 | 2021-04-15T18:46:45.000Z | 2021-04-15T18:46:45.000Z | .venv/lib/python3.6/site-packages/pyglet/media/sources/__init__.py | FedericoFontana/ray | 5a7feae15f8c74d5d196fea6697c1827008018f3 | [
"Apache-2.0"
] | 1 | 2020-11-06T18:46:35.000Z | 2020-11-06T18:46:35.000Z | """Sources for media playback."""
# Collect public interface
from .loader import load, have_avbin
from .base import AudioFormat, VideoFormat, AudioData, SourceInfo
from .base import Source, StreamingSource, StaticSource, SourceGroup
# help the docs figure out where these are supposed to live (they live here)
__all__ ... | 23.095238 | 76 | 0.727835 |
d456f3b47a248e0295ccdf21c066772afa558733 | 3,074 | py | Python | regexport/views/histogram2.py | jonnykohl/ABBA-QuPath-RegistrationAnalysis | d164d619117b400b2de524887fb598b966319518 | [
"MIT"
] | 2 | 2021-09-26T21:48:11.000Z | 2022-02-09T03:02:59.000Z | regexport/views/histogram2.py | jonnykohl/ABBA-QuPath-RegistrationAnalysis | d164d619117b400b2de524887fb598b966319518 | [
"MIT"
] | 2 | 2022-01-28T14:40:20.000Z | 2022-01-31T10:14:27.000Z | regexport/views/histogram2.py | jonnykohl/ABBA-QuPath-RegistrationAnalysis | d164d619117b400b2de524887fb598b966319518 | [
"MIT"
] | 1 | 2021-11-30T15:27:25.000Z | 2021-11-30T15:27:25.000Z | import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from PySide2.QtWidgets import QVBoxLayout, QWidget
from traitlets import HasTraits, Instance, Bool, directional_link
from regexport.model import AppState
from regexport.views.utils import HasWidget
matplotlib.use('Qt5Agg')
from matplotlib.backends... | 34.155556 | 111 | 0.591087 |
d457ee3cfd1e0db55001718ecea3c52991bf2068 | 410 | py | Python | tests/plot/test_layouts.py | akrherz/pyIEM | ec0acdc4c6b507b0d558ce216d4bbdbcb9b2f364 | [
"MIT"
] | 29 | 2015-09-02T15:53:48.000Z | 2022-02-04T19:47:49.000Z | tests/plot/test_layouts.py | akrherz/pyIEM | ec0acdc4c6b507b0d558ce216d4bbdbcb9b2f364 | [
"MIT"
] | 531 | 2015-01-13T20:58:33.000Z | 2022-03-30T13:59:14.000Z | tests/plot/test_layouts.py | akrherz/pyIEM | ec0acdc4c6b507b0d558ce216d4bbdbcb9b2f364 | [
"MIT"
] | 7 | 2015-02-28T22:34:32.000Z | 2020-12-06T05:16:13.000Z | """Test pyiem.plot.layouts."""
# third party
import pytest
# local
from pyiem.plot.layouts import figure_axes
| 21.578947 | 52 | 0.658537 |
d457f75e99a83dac762342d37904956309e359c4 | 235 | py | Python | python_sets/set_elements_sum.py | antonarnaudov/python-tigers-2021-02 | 8af6c121e4d373b7d98bf76dc1777753587262ef | [
"MIT"
] | null | null | null | python_sets/set_elements_sum.py | antonarnaudov/python-tigers-2021-02 | 8af6c121e4d373b7d98bf76dc1777753587262ef | [
"MIT"
] | null | null | null | python_sets/set_elements_sum.py | antonarnaudov/python-tigers-2021-02 | 8af6c121e4d373b7d98bf76dc1777753587262ef | [
"MIT"
] | null | null | null |
ll = [1, 2, 3, 4, 5]
ll2 = [3, 4, 5, 6, 7]
print(set_elements_sum(ll, ll2))
# [4, 6, 8, 10, 12]
| 14.6875 | 32 | 0.489362 |
d459e29c6a334d3cb9c48312eadf040e7da6485c | 3,543 | py | Python | src/view/api.py | NKUST-ITC/NKUST-AP-API | 96b5961170fb99f87490be9abdf869a8556c25d3 | [
"MIT"
] | 7 | 2020-01-20T14:32:45.000Z | 2020-11-17T03:05:10.000Z | src/view/api.py | NKUST-ITC/NKUST-AP-API | 96b5961170fb99f87490be9abdf869a8556c25d3 | [
"MIT"
] | 71 | 2019-07-10T13:23:42.000Z | 2020-09-18T18:14:18.000Z | src/view/api.py | NKUST-ITC/NKUST-AP-API | 96b5961170fb99f87490be9abdf869a8556c25d3 | [
"MIT"
] | 6 | 2019-10-13T15:17:11.000Z | 2020-09-18T08:45:23.000Z | import datetime
import json
import falcon
import redis
from auth import jwt_auth
from cache import ap_cache, api_cache
from utils import config, error_code
from utils.util import max_body, randStr
red_auth_token = redis.StrictRedis.from_url(
url=config.REDIS_URL, db=6, charset="utf-8", decode_responses=True)
... | 33.11215 | 145 | 0.604008 |
d45a0cfea1607de8bf86aa4544c8ebb14855a180 | 213 | py | Python | tests/pie.py | Sup3rGeo/allure-docx | 54ad0c3ee57596658f97f49e45914ff4d18df140 | [
"MIT"
] | 25 | 2018-06-14T08:18:39.000Z | 2021-08-04T07:42:24.000Z | tests/pie.py | Sup3rGeo/allure-docx | 54ad0c3ee57596658f97f49e45914ff4d18df140 | [
"MIT"
] | 33 | 2018-05-18T11:33:21.000Z | 2021-12-03T12:09:53.000Z | tests/pie.py | Sup3rGeo/allure-docx | 54ad0c3ee57596658f97f49e45914ff4d18df140 | [
"MIT"
] | 9 | 2019-02-26T15:55:28.000Z | 2021-05-18T19:06:03.000Z | from allure_docx.piechart import create_piechart
data = {
"broken": 1,
"failed": 2,
"skipped": 3,
"passed": 4,
}
create_piechart(data, "C:\\Users\\victo\\Desktop\\piechart.png") | 17.75 | 64 | 0.586854 |
d45bdb2824eae91d040e46999d119ed75d27d738 | 22,288 | py | Python | numba/typeinfer.py | meawoppl/numba | bb8df0aee99133c6d52465ae9f9df2a7996339f3 | [
"BSD-2-Clause"
] | 1 | 2015-01-29T06:52:36.000Z | 2015-01-29T06:52:36.000Z | numba/typeinfer.py | meawoppl/numba | bb8df0aee99133c6d52465ae9f9df2a7996339f3 | [
"BSD-2-Clause"
] | null | null | null | numba/typeinfer.py | meawoppl/numba | bb8df0aee99133c6d52465ae9f9df2a7996339f3 | [
"BSD-2-Clause"
] | null | null | null | """
Type inference base on CPA.
The algorithm guarantees monotonic growth of type-sets for each variable.
Steps:
1. seed initial types
2. build constrains
3. propagate constrains
4. unify types
Constrain propagation is precise and does not regret (no backtracing).
Constrains push types forward followi... | 35.434022 | 81 | 0.566897 |
d45d7e6465cdb57bb0b7929627529fa6ecb8698d | 1,059 | py | Python | examples/_pweave.py | erelsgl/prtpy | 1404623f10164929fab1f8c09ebe4780e885b123 | [
"MIT"
] | 2 | 2022-02-27T11:28:05.000Z | 2022-03-12T20:16:14.000Z | examples/_pweave.py | erelsgl/prtpy | 1404623f10164929fab1f8c09ebe4780e885b123 | [
"MIT"
] | null | null | null | examples/_pweave.py | erelsgl/prtpy | 1404623f10164929fab1f8c09ebe4780e885b123 | [
"MIT"
] | null | null | null | """
Run all the example files and convert them to markdown files containing the output.
Uses `pweave`. It is not installed by default. To install:
pip install pweave
"""
import pweave, datetime, glob, os
if __name__ == "__main__":
for python_file in glob.glob("*.py"):
print(python_file)
if... | 35.3 | 193 | 0.691218 |
d45e0abbc1b60250ad55d017c7df68087d2d533a | 388 | py | Python | Course.py | timot3/uiuc-course-api | 468043724532f6cc85c2e24dc8d11cd7819f7381 | [
"MIT"
] | 6 | 2021-12-21T21:32:52.000Z | 2021-12-22T04:11:33.000Z | Course.py | timot3/uiuc-course-api | 468043724532f6cc85c2e24dc8d11cd7819f7381 | [
"MIT"
] | null | null | null | Course.py | timot3/uiuc-course-api | 468043724532f6cc85c2e24dc8d11cd7819f7381 | [
"MIT"
] | null | null | null | from dataclasses import dataclass
import json | 35.272727 | 120 | 0.608247 |
d45e91dbb62c867d411f2c3492ce392f573d7768 | 3,450 | py | Python | mlops/parallelm/mlops/config_info.py | lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | [
"Apache-2.0"
] | 7 | 2019-04-08T02:31:55.000Z | 2021-11-15T14:40:49.000Z | mlops/parallelm/mlops/config_info.py | lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | [
"Apache-2.0"
] | 31 | 2019-02-22T22:23:26.000Z | 2021-08-02T17:17:06.000Z | mlops/parallelm/mlops/config_info.py | lisapm/mlpiper | 74ad5ae343d364682cc2f8aaa007f2e8a1d84929 | [
"Apache-2.0"
] | 8 | 2019-03-15T23:46:08.000Z | 2020-02-06T09:16:02.000Z |
import os
from parallelm.mlops.mlops_env_constants import MLOpsEnvConstants
from parallelm.mlops.constants import Constants
| 44.805195 | 114 | 0.671304 |
d45f1586c5630bca9421e3233108ec6725f2dae3 | 27,344 | py | Python | pyupdater/vendor/PyInstaller/hooks/hookutils.py | rsumner31/PyUpdater1 | d9658000472e57453267ee8fa174ae914dd8d33c | [
"BSD-2-Clause"
] | null | null | null | pyupdater/vendor/PyInstaller/hooks/hookutils.py | rsumner31/PyUpdater1 | d9658000472e57453267ee8fa174ae914dd8d33c | [
"BSD-2-Clause"
] | null | null | null | pyupdater/vendor/PyInstaller/hooks/hookutils.py | rsumner31/PyUpdater1 | d9658000472e57453267ee8fa174ae914dd8d33c | [
"BSD-2-Clause"
] | null | null | null | #-----------------------------------------------------------------------------
# Copyright (c) 2013, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License with exception
# for distributing bootloader.
#
# The full license is in the file COPYING.txt, distributed with this softwa... | 36.851752 | 102 | 0.656378 |
d45faf437d036c5cd58c229b732627af92d8d453 | 2,087 | py | Python | gpu_disk_monitor.py | alicfeng/node-gpu-exporter | b4e5b4b4a2c0c6f5993301c255c9438c904778ba | [
"MIT"
] | null | null | null | gpu_disk_monitor.py | alicfeng/node-gpu-exporter | b4e5b4b4a2c0c6f5993301c255c9438c904778ba | [
"MIT"
] | null | null | null | gpu_disk_monitor.py | alicfeng/node-gpu-exporter | b4e5b4b4a2c0c6f5993301c255c9438c904778ba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import pynvml
import psutil
import time
import os
while True:
time.sleep(int(os.getenv("PLUGIN_PROM_INTERVAL", 5)))
try:
# nvml
pynvml.nvmlInit()
# GPU
DeviceCount = pynvml.nvmlDeviceGetCount()
GpuData = ""
for i in range(DeviceCount):
... | 42.591837 | 116 | 0.567322 |
d46085e0d6d11f501fc918c06a8f8a78a767953c | 7,113 | py | Python | src/siliqua/util.py | Matoking/siliqua | b943822631ab18dde85e95d1731ebd7ffd7ef14a | [
"CC0-1.0"
] | 8 | 2019-10-31T19:16:08.000Z | 2021-12-04T00:09:24.000Z | src/siliqua/util.py | Matoking/siliqua | b943822631ab18dde85e95d1731ebd7ffd7ef14a | [
"CC0-1.0"
] | null | null | null | src/siliqua/util.py | Matoking/siliqua | b943822631ab18dde85e95d1731ebd7ffd7ef14a | [
"CC0-1.0"
] | 1 | 2019-11-01T19:27:48.000Z | 2019-11-01T19:27:48.000Z | import binascii
import uuid
from collections import UserDict
from functools import cmp_to_key, wraps
from nanolib import Block as RawBlock
from nanolib import nbase32_to_bytes, get_account_id
__all__ = (
"RawBlock", "BlockProxy", "Callbacks", "CallbackSlot", "AccountIDDict"
)
def account_id_to_bytes(account_... | 28.914634 | 79 | 0.624631 |
d4609e8f44efe020f44060fbdd7755f9870ce65b | 756 | py | Python | similarity/io/kv_storage.py | diepdaocs/redis-minhash-es | e570fabd05730375af3e91c7830044cc0413fd9d | [
"Apache-2.0"
] | 1 | 2020-10-06T15:40:46.000Z | 2020-10-06T15:40:46.000Z | similarity/io/kv_storage.py | diepdaocs/redis-minhash-es | e570fabd05730375af3e91c7830044cc0413fd9d | [
"Apache-2.0"
] | null | null | null | similarity/io/kv_storage.py | diepdaocs/redis-minhash-es | e570fabd05730375af3e91c7830044cc0413fd9d | [
"Apache-2.0"
] | null | null | null | from abc import ABC, abstractmethod
from redis import StrictRedis
| 20.432432 | 74 | 0.628307 |
d460e2f959cb6961dc11dea40e4ea754a972cf2f | 15,252 | py | Python | canvasxpress/config/collection.py | docinfosci/canvasxpress-python | 532a981b04d0f50bbde1852c695117a6220f4589 | [
"MIT"
] | 4 | 2021-03-18T17:23:40.000Z | 2022-02-01T19:07:01.000Z | canvasxpress/config/collection.py | docinfosci/canvasxpress-python | 532a981b04d0f50bbde1852c695117a6220f4589 | [
"MIT"
] | 8 | 2021-04-30T20:46:57.000Z | 2022-03-10T07:25:31.000Z | canvasxpress/config/collection.py | docinfosci/canvasxpress-python | 532a981b04d0f50bbde1852c695117a6220f4589 | [
"MIT"
] | 1 | 2022-02-03T00:35:14.000Z | 2022-02-03T00:35:14.000Z | import json
from copy import deepcopy
from functools import total_ordering
from typing import List, Any, Union
from canvasxpress.config.type import CXConfig, CXString, CXInt, CXFloat, CXBool, \
CXList, CXDict, CXRGBColor, CXRGBAColor
from canvasxpress.data.convert import CXDictConvertable, CXListConvertable
| 32.177215 | 82 | 0.464201 |
d460fb43915a4c1a25003b0d50dc8bd4eaf7ce2f | 5,444 | py | Python | make_error_table_1plus1D.py | rtimms/asymptotic-pouch-cell | da2cfee87411125b084c4ca5854b68d01f9d0b70 | [
"BSD-3-Clause"
] | 2 | 2020-10-28T18:20:15.000Z | 2021-08-03T15:48:31.000Z | make_error_table_1plus1D.py | rtimms/asymptotic-pouch-cell | da2cfee87411125b084c4ca5854b68d01f9d0b70 | [
"BSD-3-Clause"
] | null | null | null | make_error_table_1plus1D.py | rtimms/asymptotic-pouch-cell | da2cfee87411125b084c4ca5854b68d01f9d0b70 | [
"BSD-3-Clause"
] | 1 | 2020-08-12T13:30:44.000Z | 2020-08-12T13:30:44.000Z | #
# Check convergence of 1+1D model to full 2D model
#
import pybamm
import sys
import pickle
from pprint import pprint
import shared
import numpy as np
# increase recursion limit for large expression trees
sys.setrecursionlimit(100000)
pybamm.set_logging_level("INFO")
# choose npts for comparison
npts = [4, 8, 16,... | 34.455696 | 88 | 0.619214 |
d461962c359417f2fa58c7c7c548359f386ff1e8 | 665 | py | Python | dpy_firestore_manager/structures/document.py | ming-suhi/dpy-firestore-manager | 9c0eca46a1db08a4955f081d8529e2cbd8b4be9a | [
"MIT"
] | 2 | 2021-06-24T12:32:11.000Z | 2021-06-25T10:39:30.000Z | dpy_firestore_manager/structures/document.py | ming-suhi/dpy-firestore-manager | 9c0eca46a1db08a4955f081d8529e2cbd8b4be9a | [
"MIT"
] | null | null | null | dpy_firestore_manager/structures/document.py | ming-suhi/dpy-firestore-manager | 9c0eca46a1db08a4955f081d8529e2cbd8b4be9a | [
"MIT"
] | null | null | null | from .database import Database | 15.113636 | 53 | 0.618045 |
d462cfa4f4831e5253a0564fc15f691201c2c792 | 2,837 | py | Python | people/migrations/0001_initial.py | David5627/instagram-clone | f9c4db320d59e757303f247ebc2ff5666b715d0d | [
"MIT"
] | null | null | null | people/migrations/0001_initial.py | David5627/instagram-clone | f9c4db320d59e757303f247ebc2ff5666b715d0d | [
"MIT"
] | null | null | null | people/migrations/0001_initial.py | David5627/instagram-clone | f9c4db320d59e757303f247ebc2ff5666b715d0d | [
"MIT"
] | null | null | null | # Generated by Django 3.1.5 on 2021-01-17 15:24
import cloudinary.models
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 44.328125 | 141 | 0.59711 |
d463d9c0f6d6f7152fed820bc41a2196a8aa9a63 | 2,506 | py | Python | jobs/models.py | soheltarir/django-es-test | 2cdce24fb0288f16f2526b38d139359dbe8472f5 | [
"MIT"
] | 5 | 2019-12-01T13:06:55.000Z | 2020-01-22T04:21:54.000Z | jobs/models.py | soheltarir/django-es-test | 2cdce24fb0288f16f2526b38d139359dbe8472f5 | [
"MIT"
] | 2 | 2020-06-06T00:15:11.000Z | 2022-02-10T11:24:31.000Z | jobs/models.py | soheltarir/django-elastic-postgres | 2cdce24fb0288f16f2526b38d139359dbe8472f5 | [
"MIT"
] | null | null | null | from django.conf import settings
from django.db import models, connection
from elasticsearch import Elasticsearch
from jobs.managers import BaseManager
def from_elastic(self):
"""
Fetches the instance document from Elasticsearch
:return: Instance data in Dict
:raises ElasticNotFou... | 30.560976 | 117 | 0.660016 |
d4641766041568962ab232301857e545daabd61b | 165 | py | Python | 1 - Beginner/1132.py | andrematte/uri-submissions | 796e7fee56650d9e882880318d6e7734038be2dc | [
"MIT"
] | 1 | 2020-09-09T12:48:09.000Z | 2020-09-09T12:48:09.000Z | 1 - Beginner/1132.py | andrematte/uri-submissions | 796e7fee56650d9e882880318d6e7734038be2dc | [
"MIT"
] | null | null | null | 1 - Beginner/1132.py | andrematte/uri-submissions | 796e7fee56650d9e882880318d6e7734038be2dc | [
"MIT"
] | null | null | null | # URI Online Judge 1133
X = int(input())
Y = int(input())
soma = 0
if Y < X:
X, Y = Y, X
for i in range(X,Y+1):
if i%13!=0:
soma += i
print(soma) | 11.785714 | 23 | 0.50303 |
d465635fd625119bd10e862528a33efb5abc7880 | 532 | py | Python | 1051 - Imposto de Renda.py | CalixtoNeto/UriOnlineJudge | 6c732ad3ad6f0b535210707654443e2f20a2871c | [
"MIT"
] | null | null | null | 1051 - Imposto de Renda.py | CalixtoNeto/UriOnlineJudge | 6c732ad3ad6f0b535210707654443e2f20a2871c | [
"MIT"
] | null | null | null | 1051 - Imposto de Renda.py | CalixtoNeto/UriOnlineJudge | 6c732ad3ad6f0b535210707654443e2f20a2871c | [
"MIT"
] | null | null | null | salario = float(input())
if (salario >= 0 and salario <= 2000.00):
print('Isento')
elif (salario >= 2000.01 and salario <= 3000.00):
resto = salario - 2000
resul = resto * 0.08
print('R$ {:.2f}'.format(resul))
elif (salario >= 3000.01 and salario <= 4500.00):
resto = salario - 3000
resul = (res... | 33.25 | 58 | 0.567669 |
d465ea6aa469a0eeda3cef9959419393fecf5aa6 | 4,764 | py | Python | qt-creator-opensource-src-4.6.1/tests/system/shared/suites_qtta.py | kevinlq/Qt-Creator-Opensource-Study | b8cadff1f33f25a5d4ef33ed93f661b788b1ba0f | [
"MIT"
] | 5 | 2018-12-22T14:49:13.000Z | 2022-01-13T07:21:46.000Z | qt-creator-opensource-src-4.6.1/tests/system/shared/suites_qtta.py | kevinlq/Qt-Creator-Opensource-Study | b8cadff1f33f25a5d4ef33ed93f661b788b1ba0f | [
"MIT"
] | null | null | null | qt-creator-opensource-src-4.6.1/tests/system/shared/suites_qtta.py | kevinlq/Qt-Creator-Opensource-Study | b8cadff1f33f25a5d4ef33ed93f661b788b1ba0f | [
"MIT"
] | 8 | 2018-07-17T03:55:48.000Z | 2021-12-22T06:37:53.000Z | ############################################################################
#
# Copyright (C) 2016 The Qt Company Ltd.
# Contact: https://www.qt.io/licensing/
#
# This file is part of Qt Creator.
#
# Commercial License Usage
# Licensees holding valid commercial Qt licenses may use this file in
# accordance with the co... | 49.113402 | 119 | 0.68283 |
d467d5c267087c0c788c3e90841bd2462cc88eda | 4,519 | py | Python | import_3dm/converters/curve.py | jesterKing/import_3dm | c6493fced83d3df04d4de035f129d64f8322689f | [
"MIT"
] | 167 | 2018-10-19T19:50:44.000Z | 2022-03-30T22:13:14.000Z | import_3dm/converters/curve.py | mnmly/import_3dm | 95ab13e38a27cf0309dc5c0a2dcd116bba05c504 | [
"MIT"
] | 83 | 2018-10-25T05:45:32.000Z | 2022-03-23T19:36:26.000Z | import_3dm/converters/curve.py | mnmly/import_3dm | 95ab13e38a27cf0309dc5c0a2dcd116bba05c504 | [
"MIT"
] | 33 | 2018-10-23T21:33:17.000Z | 2022-03-28T07:41:33.000Z | # MIT License
# Copyright (c) 2018-2019 Nathan Letwory, Joel Putnam, Tom Svilans, Lukas Fertig
# 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 limita... | 27.387879 | 101 | 0.664749 |
d467f165c17cdbdb661057295ad4cfbadbb5bf8d | 1,636 | py | Python | subtitle-audio-transfer/audio-transfer.py | iwalton3/media-scripts | 6264c27054038e7f65ae35ee7519ff5cee9f0c7a | [
"MIT"
] | 31 | 2020-04-02T21:30:51.000Z | 2022-03-06T05:23:11.000Z | subtitle-audio-transfer/audio-transfer.py | iwalton3/media-scripts | 6264c27054038e7f65ae35ee7519ff5cee9f0c7a | [
"MIT"
] | 3 | 2020-05-13T03:52:28.000Z | 2021-09-28T22:18:55.000Z | subtitle-audio-transfer/audio-transfer.py | iwalton3/media-scripts | 6264c27054038e7f65ae35ee7519ff5cee9f0c7a | [
"MIT"
] | 2 | 2020-05-23T02:05:25.000Z | 2021-03-11T15:05:58.000Z | #!/usr/bin/env python3
import sys
import subprocess
from align_videos_by_soundtrack.align import SyncDetector, cli_common
remove = []
remove_specified = False
remove_all = False
add = []
add_specified = False
copy_subtitles = False
files = []
print_offset_only = False
for argument in sys.argv[1:]:
if argument == ... | 24.787879 | 69 | 0.646699 |
d468b4040e163972a066288b8759fdddb7630bcc | 138 | py | Python | nailgun-client/py/__init__.py | h4l/nailgun | 84f3b051e99f7be17260b1cae8da0217be0bb0a4 | [
"Apache-2.0"
] | 362 | 2017-10-16T18:51:28.000Z | 2022-03-29T00:44:30.000Z | nailgun-client/py/__init__.py | h4l/nailgun | 84f3b051e99f7be17260b1cae8da0217be0bb0a4 | [
"Apache-2.0"
] | 88 | 2017-10-30T22:52:49.000Z | 2022-03-04T21:56:39.000Z | nailgun-client/py/__init__.py | h4l/nailgun | 84f3b051e99f7be17260b1cae8da0217be0bb0a4 | [
"Apache-2.0"
] | 89 | 2017-10-16T18:51:29.000Z | 2022-03-18T00:52:28.000Z | # Copyright 2004-2015, Martian Software, Inc.
# Copyright 2017-Present Facebook, Inc.
from ng import NailgunConnection, NailgunException
| 27.6 | 50 | 0.804348 |
d4695c56307183db636d9bc503efb46f23c4be19 | 7,831 | py | Python | WaveNetClassifier.py | Yeok-c/audio_data_augment | bb096cd3ebf3f4aca0f65759f97be8832815d8d8 | [
"MIT"
] | null | null | null | WaveNetClassifier.py | Yeok-c/audio_data_augment | bb096cd3ebf3f4aca0f65759f97be8832815d8d8 | [
"MIT"
] | null | null | null | WaveNetClassifier.py | Yeok-c/audio_data_augment | bb096cd3ebf3f4aca0f65759f97be8832815d8d8 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import sys
import tensorflow as tf
from keras.layers import Input, Dense, Lambda, Flatten, Reshape, Activation, Dropout, Add, TimeDistributed, Multiply, Conv1D, Conv2D, MaxPooling1D, AveragePooling1D
from keras.models import Model, Sequential, load_model
from keras import backend ... | 41.215789 | 183 | 0.650619 |
d469c0222f63a84b0e954f5e839ba9f76753383c | 1,004 | py | Python | tagify_project/music/migrations/old/0001_initial.py | Krayonn/tagify | 5ee7efce3cacfa23a344e4c02070a365f50136a8 | [
"MIT"
] | null | null | null | tagify_project/music/migrations/old/0001_initial.py | Krayonn/tagify | 5ee7efce3cacfa23a344e4c02070a365f50136a8 | [
"MIT"
] | null | null | null | tagify_project/music/migrations/old/0001_initial.py | Krayonn/tagify | 5ee7efce3cacfa23a344e4c02070a365f50136a8 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.6 on 2021-03-08 10:44
from django.db import migrations, models
| 30.424242 | 114 | 0.547809 |
d46aaebb90fff0b9c22011f6ee273bc91bc79ad5 | 561 | py | Python | tf_saving_restore/restore.py | simonfong6/micro-projects | 5be195ea72ce117df6da041446f11c18e102b5df | [
"MIT"
] | null | null | null | tf_saving_restore/restore.py | simonfong6/micro-projects | 5be195ea72ce117df6da041446f11c18e102b5df | [
"MIT"
] | null | null | null | tf_saving_restore/restore.py | simonfong6/micro-projects | 5be195ea72ce117df6da041446f11c18e102b5df | [
"MIT"
] | null | null | null | # restore.py
import tensorflow as tf
tf.reset_default_graph()
# Create some variables.
v1 = tf.get_variable("v1", [3], initializer = tf.zeros_initializer)
v2 = tf.get_variable("v2", [5], initializer = tf.zeros_initializer)
# Add ops to save and restore only `v2` using the name "v2"
saver = tf.train.Saver({"v2": v2})... | 26.714286 | 67 | 0.684492 |
d46c4ef30fe9039fd1e58bc4503658746a51b2b8 | 2,266 | py | Python | pysite/views/staff/jams/forms/questions_edit.py | gatarelib/site | 81c71a58b949cb346e6af95d2cc3a7c4a71f36fe | [
"MIT"
] | null | null | null | pysite/views/staff/jams/forms/questions_edit.py | gatarelib/site | 81c71a58b949cb346e6af95d2cc3a7c4a71f36fe | [
"MIT"
] | null | null | null | pysite/views/staff/jams/forms/questions_edit.py | gatarelib/site | 81c71a58b949cb346e6af95d2cc3a7c4a71f36fe | [
"MIT"
] | null | null | null | import json
from flask import redirect, request, url_for
from werkzeug.exceptions import BadRequest, NotFound
from pysite.base_route import RouteView
from pysite.constants import ALL_STAFF_ROLES
from pysite.decorators import csrf, require_roles
from pysite.mixins import DBMixin
REQUIRED_KEYS = ["title", "date_start"... | 29.815789 | 78 | 0.631951 |
d46e84399f4a786d2d9417ea41788e945de9b9f8 | 1,223 | py | Python | intrepyd/colors.py | bobosoft/intrepyd | 13f0912b31f86f9bcc50f52ef4ad870e33f0cf65 | [
"BSD-3-Clause"
] | 2 | 2021-04-25T17:38:03.000Z | 2022-03-20T20:48:50.000Z | intrepyd/colors.py | bobosoft/intrepyd | 13f0912b31f86f9bcc50f52ef4ad870e33f0cf65 | [
"BSD-3-Clause"
] | 1 | 2016-11-30T22:25:00.000Z | 2017-01-16T22:43:39.000Z | intrepyd/colors.py | bobosoft/intrepyd | 13f0912b31f86f9bcc50f52ef4ad870e33f0cf65 | [
"BSD-3-Clause"
] | null | null | null | """
Copyright (C) 2017 Roberto Bruttomesso <roberto.bruttomesso@gmail.com>
This file is distributed under the terms of the 3-clause BSD License.
A copy of the license can be found in the root directory or at
https://opensource.org/licenses/BSD-3-Clause.
Author: Roberto Bruttomesso <roberto.bruttomesso@gmail.com>
Da... | 21.839286 | 70 | 0.670482 |
d46f8fddd21b1839176a48181a312306a1f12441 | 372 | py | Python | instagram_api/response/model/direct_expiring_summary.py | Yuego/instagram_api | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | [
"MIT"
] | 13 | 2019-08-07T21:24:34.000Z | 2020-12-12T12:23:50.000Z | instagram_api/response/model/direct_expiring_summary.py | Yuego/instagram_api | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | [
"MIT"
] | null | null | null | instagram_api/response/model/direct_expiring_summary.py | Yuego/instagram_api | b53f72db36c505a2eb24ebac1ba8267a0cc295bb | [
"MIT"
] | null | null | null | from ..mapper import PropertyMapper, ApiInterfaceBase
from ..mapper.types import Timestamp, AnyType
__all__ = ['DirectExpiringSummary', 'DirectExpiringSummaryInterface']
| 23.25 | 76 | 0.803763 |
d46f9cdaa97cb7c58424bb09eee06de910375f45 | 288 | py | Python | unmasked/m3/read_serial.py | saber-collection/saber-collection | b3cbf340c168c8c79a8b2371649934fa90c8be30 | [
"CC0-1.0"
] | 3 | 2021-07-27T09:01:04.000Z | 2022-01-14T03:21:54.000Z | unmasked/m3/read_serial.py | saber-collection/saber-collection | b3cbf340c168c8c79a8b2371649934fa90c8be30 | [
"CC0-1.0"
] | 2 | 2021-12-10T08:59:07.000Z | 2022-01-20T15:04:33.000Z | unmasked/m3/read_serial.py | saber-collection/saber-collection | b3cbf340c168c8c79a8b2371649934fa90c8be30 | [
"CC0-1.0"
] | 1 | 2022-01-07T07:39:45.000Z | 2022-01-07T07:39:45.000Z | #!/usr/bin/env python3
import platform
import serial
import sys
from config import Settings
dev = serial.Serial(Settings.SERIAL_DEVICE, Settings.BAUD_RATE)
print("> Returned data:", file=sys.stderr)
while True:
x = dev.read()
sys.stdout.buffer.write(x)
sys.stdout.flush()
| 18 | 63 | 0.729167 |
d46fbe250fb29497d273442d706752fcbb677fe4 | 15,893 | py | Python | python/haystack.py | ssorj/haystack | c8ab821c1e1fd3f7c52f289491034679d6a2d140 | [
"Apache-2.0"
] | null | null | null | python/haystack.py | ssorj/haystack | c8ab821c1e1fd3f7c52f289491034679d6a2d140 | [
"Apache-2.0"
] | null | null | null | python/haystack.py | ssorj/haystack | c8ab821c1e1fd3f7c52f289491034679d6a2d140 | [
"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 not... | 28.079505 | 81 | 0.592777 |
d4706eaf9ed2710b50c2c8816b8e27ab7db167ac | 2,460 | py | Python | src/train_and_save.py | shifty21/neural-numpy | 85c97f19c830f82b92b43986bdc2efcb6e114076 | [
"MIT"
] | null | null | null | src/train_and_save.py | shifty21/neural-numpy | 85c97f19c830f82b92b43986bdc2efcb6e114076 | [
"MIT"
] | null | null | null | src/train_and_save.py | shifty21/neural-numpy | 85c97f19c830f82b92b43986bdc2efcb6e114076 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
import numpy as np
np.random.seed(1337)
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.core import Dense, Flatten
from keras.models import Sequential
from keras.optimizers import SGD
from logger import Logger
from utils import utils as u
... | 34.166667 | 112 | 0.65 |
d471ec6ff3af56ea13084f104d2cab2e60990ed0 | 786 | py | Python | lib/lecture.py | kfkonrad/py-stundenplan | 83df034d176cf67e3ca7e8a25111e715a349c03b | [
"MIT"
] | null | null | null | lib/lecture.py | kfkonrad/py-stundenplan | 83df034d176cf67e3ca7e8a25111e715a349c03b | [
"MIT"
] | null | null | null | lib/lecture.py | kfkonrad/py-stundenplan | 83df034d176cf67e3ca7e8a25111e715a349c03b | [
"MIT"
] | null | null | null | from typing import List, NoReturn
from lib.t import T
| 26.2 | 66 | 0.501272 |
d472bfcdd59367d1ed14df00006f9db40ba1e325 | 924 | py | Python | planner/migrations/0008_lawnproduct.py | pmontgo33/lawn-care-planner | 0b79a07a301eeb9a15ff1f4f461bdd364151f86a | [
"MIT"
] | 7 | 2016-12-07T18:34:42.000Z | 2021-08-03T15:22:35.000Z | planner/migrations/0008_lawnproduct.py | pmontgo33/lawn-care-planner | 0b79a07a301eeb9a15ff1f4f461bdd364151f86a | [
"MIT"
] | 35 | 2016-11-23T15:40:46.000Z | 2017-05-18T22:58:17.000Z | planner/migrations/0008_lawnproduct.py | pmontgo33/lawn-care-planner | 0b79a07a301eeb9a15ff1f4f461bdd364151f86a | [
"MIT"
] | 1 | 2017-04-13T15:13:01.000Z | 2017-04-13T15:13:01.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2016-12-06 03:59
from __future__ import unicode_literals
from django.db import migrations, models
import jsonfield.fields
| 34.222222 | 201 | 0.599567 |
d47400120d802a6bd315f61f2623a53e8363df9a | 2,464 | py | Python | gdc_client/__init__.py | di2ag/gdc_client | fb8348ce8b416084959ab50dd84848e6e5250adf | [
"Apache-2.0"
] | null | null | null | gdc_client/__init__.py | di2ag/gdc_client | fb8348ce8b416084959ab50dd84848e6e5250adf | [
"Apache-2.0"
] | null | null | null | gdc_client/__init__.py | di2ag/gdc_client | fb8348ce8b416084959ab50dd84848e6e5250adf | [
"Apache-2.0"
] | null | null | null | """ Initialization file for a GDC API client.
"""
from copy import copy
import types
from .client import BaseClient
# Aliases
COMMON_ALIASES = {
"_get_cases": 'get_cases',
"_get_mappings": 'get_mappings',
"_get_genes": 'get_genes',
"_get_ssm_occurrences": 'get_ssm_occurrences',
}
# API speci... | 30.419753 | 125 | 0.643669 |
d47599305c1d1b7b8d20de48c506ff172cde37a3 | 5,173 | py | Python | pyaz/search/service/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/search/service/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/search/service/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | 1 | 2022-02-03T09:12:01.000Z | 2022-02-03T09:12:01.000Z | '''
Manage Azure Search services.
'''
from ... pyaz_utils import _call_az
def list(resource_group):
'''
Required Parameters:
- resource_group -- Name of resource group. You can configure the default group using `az configure --defaults group=<name>`
'''
return _call_az("az search service list... | 49.740385 | 312 | 0.715832 |
d476d8dd1be2c7313c00dcab49d959a864de8726 | 352 | py | Python | codeforces.com/1560B/solution.py | zubtsov/competitive-programming | 919d63130144347d7f6eddcf8f5bc2afb85fddf3 | [
"MIT"
] | null | null | null | codeforces.com/1560B/solution.py | zubtsov/competitive-programming | 919d63130144347d7f6eddcf8f5bc2afb85fddf3 | [
"MIT"
] | null | null | null | codeforces.com/1560B/solution.py | zubtsov/competitive-programming | 919d63130144347d7f6eddcf8f5bc2afb85fddf3 | [
"MIT"
] | null | null | null | for i in range(int(input())):
a, b, c = map(int, input().split())
mi = min(a, b)
ma = max(a, b)
half_circle_people = (ma - mi)
full_circle_people = 2 * half_circle_people
if ma > half_circle_people * 2 or c > full_circle_people:
print(-1)
else:
print((c - half_circle_people... | 27.076923 | 68 | 0.59375 |
d476da1bc58d7a1e677fb40a03e596a33fb0f3e3 | 44 | py | Python | first_step.py | xulu199705/RT_Check | 9f1ade3bca18cf720839c182bd0e772ce0dc6212 | [
"MIT"
] | null | null | null | first_step.py | xulu199705/RT_Check | 9f1ade3bca18cf720839c182bd0e772ce0dc6212 | [
"MIT"
] | null | null | null | first_step.py | xulu199705/RT_Check | 9f1ade3bca18cf720839c182bd0e772ce0dc6212 | [
"MIT"
] | null | null | null | import get_hwnd
get_hwnd.prt_hwnd_title()
| 8.8 | 25 | 0.818182 |
d47c7410ad2e1d295e58a4e424616eb38492c3d3 | 3,502 | py | Python | care_batch/train.py | amedyukhina/care_batch | 7670eb7bbd9339dcc580cf8686c79900253392eb | [
"Apache-2.0"
] | null | null | null | care_batch/train.py | amedyukhina/care_batch | 7670eb7bbd9339dcc580cf8686c79900253392eb | [
"Apache-2.0"
] | null | null | null | care_batch/train.py | amedyukhina/care_batch | 7670eb7bbd9339dcc580cf8686c79900253392eb | [
"Apache-2.0"
] | null | null | null | from __future__ import print_function, unicode_literals, absolute_import, division
import os
import matplotlib.pyplot as plt
from csbdeep.io import load_training_data
from csbdeep.models import Config, CARE
from csbdeep.utils import axes_dict, plot_history
from csbdeep.utils.tf import limit_gpu_memory
def train(dat... | 41.690476 | 114 | 0.679326 |
d47d11c0c073b62a10d841b78daf123c81e25219 | 553 | py | Python | 204.Count_Primes.py | wanxin-code/leetcode | 524d744202c4c887fda0a60861f80b30d706da67 | [
"MIT"
] | 1 | 2019-10-17T10:39:27.000Z | 2019-10-17T10:39:27.000Z | 204.Count_Primes.py | wanxin-code/leetcode | 524d744202c4c887fda0a60861f80b30d706da67 | [
"MIT"
] | null | null | null | 204.Count_Primes.py | wanxin-code/leetcode | 524d744202c4c887fda0a60861f80b30d706da67 | [
"MIT"
] | null | null | null | import math | 34.5625 | 149 | 0.481013 |
d4810d64f0d8b918e9d775353759ccbef353fe0f | 4,173 | py | Python | packages/auto-nlp-workflow-lib/src/tagflip/model/mlflow/huggingface/huggingface_sequenceclassification_savable.py | fhswf/tagflip-autonlp | f94abb35ed06198567e5d9cbb7abb7e112149d6c | [
"MIT"
] | 4 | 2021-10-05T17:34:02.000Z | 2022-03-23T07:33:19.000Z | packages/auto-nlp-workflow-lib/src/tagflip/model/mlflow/huggingface/huggingface_sequenceclassification_savable.py | fhswf/tagflip-autonlp | f94abb35ed06198567e5d9cbb7abb7e112149d6c | [
"MIT"
] | 11 | 2022-03-01T14:37:52.000Z | 2022-03-31T05:11:23.000Z | packages/auto-nlp-workflow-lib/src/tagflip/model/mlflow/huggingface/huggingface_sequenceclassification_savable.py | fhswf/tagflip-autonlp | f94abb35ed06198567e5d9cbb7abb7e112149d6c | [
"MIT"
] | 1 | 2022-01-29T13:32:22.000Z | 2022-01-29T13:32:22.000Z | import logging
from typing import Any, Dict, List, NewType
import mlflow
import numpy as np
import pandas as pd
import torch
import transformers
from mlflow.models import ModelSignature
from mlflow.pyfunc import PythonModel
from mlflow.types import ColSpec, DataType, Schema, TensorSpec
from mlflow.utils.environment im... | 38.284404 | 110 | 0.632159 |
d4814e225cb9b6a3ed36a170b51a2e4e97d4ba16 | 2,657 | py | Python | src/my_py_pkg/my_py_pkg/action_client.py | devis12/ros2_ws_src | 3a3552a2240767a2d6776c424681b70cad83e989 | [
"Apache-2.0"
] | 1 | 2021-06-14T11:30:55.000Z | 2021-06-14T11:30:55.000Z | src/my_py_pkg/my_py_pkg/action_client.py | devis12/ros2_ws_src | 3a3552a2240767a2d6776c424681b70cad83e989 | [
"Apache-2.0"
] | null | null | null | src/my_py_pkg/my_py_pkg/action_client.py | devis12/ros2_ws_src | 3a3552a2240767a2d6776c424681b70cad83e989 | [
"Apache-2.0"
] | null | null | null | import rclpy
from rclpy.action import ActionClient
from rclpy.node import Node
from functools import partial
from my_robot_interfaces.action import Test
if __name__ == '__main__':
main() | 34.506494 | 123 | 0.656379 |
d48194f7f641e86ac8eb4f438a9abb848f3f7681 | 965 | py | Python | img/cards/cardify_driv.py | ETHproductions/mkt | 3f580fa6191c88cdc2cee19d0b79208c2e80fb82 | [
"MIT"
] | null | null | null | img/cards/cardify_driv.py | ETHproductions/mkt | 3f580fa6191c88cdc2cee19d0b79208c2e80fb82 | [
"MIT"
] | null | null | null | img/cards/cardify_driv.py | ETHproductions/mkt | 3f580fa6191c88cdc2cee19d0b79208c2e80fb82 | [
"MIT"
] | null | null | null | import sys
from PIL import Image
from os import listdir
for rarity in "Normal", "Rare", "Ultra":
imfiles = [i for i in listdir("adj_drivers/" + rarity) if i[-4:] == ".png" and i[0] != '_']
print(imfiles)
im_base = Image.open("../frames/" + rarity + "DriverBase.png")
im_frame = Image.open("../frames/" + rari... | 28.382353 | 93 | 0.603109 |
d48253284557462c50068a4ee14dab1e8cdaa744 | 623 | py | Python | weather_bot/generate_audio_files.py | tinalimbudev/weather-bot | 6e59420cac3a6b31d52983287c42ef9f4feb3422 | [
"MIT"
] | null | null | null | weather_bot/generate_audio_files.py | tinalimbudev/weather-bot | 6e59420cac3a6b31d52983287c42ef9f4feb3422 | [
"MIT"
] | null | null | null | weather_bot/generate_audio_files.py | tinalimbudev/weather-bot | 6e59420cac3a6b31d52983287c42ef9f4feb3422 | [
"MIT"
] | null | null | null | import os
from gtts import gTTS
from pathlib import Path
if __name__ == "__main__":
# Replace with list of tuples.
# E.g. [("Please could you repeat that?", "pardon")]
texts_and_file_names = []
for text, file_name in texts_and_file_names:
generate_audio_file_from_text(text, file_name)
| 22.25 | 61 | 0.701445 |
d4831cb1233c25b64c8427e8a7e41ee32b1bfca1 | 2,917 | py | Python | app.py | sohje/__flask_psgr | 4d8b201b93b72f55965cbaa030fcfb062b818803 | [
"MIT"
] | null | null | null | app.py | sohje/__flask_psgr | 4d8b201b93b72f55965cbaa030fcfb062b818803 | [
"MIT"
] | null | null | null | app.py | sohje/__flask_psgr | 4d8b201b93b72f55965cbaa030fcfb062b818803 | [
"MIT"
] | null | null | null | import os
from sqlalchemy import (create_engine, MetaData,
Table, Column, Integer, Text, String, DateTime)
from flask import Flask, request, jsonify, g
from mock_session import session_info_retriever
app = Flask(__name__)
# config.DevelopmentConfig -> sqlite://testing.db
# config.ProductionConfig -> postgresql:/... | 31.031915 | 82 | 0.685979 |
d483cac4baa895087753c91d39105d8e693ca7b5 | 608 | py | Python | 08/08.py | stevenpclark/aoc2019 | a02815c751a2cb2eea2b7648795ed7c6cf41190f | [
"MIT"
] | null | null | null | 08/08.py | stevenpclark/aoc2019 | a02815c751a2cb2eea2b7648795ed7c6cf41190f | [
"MIT"
] | null | null | null | 08/08.py | stevenpclark/aoc2019 | a02815c751a2cb2eea2b7648795ed7c6cf41190f | [
"MIT"
] | null | null | null | import numpy as np
with open('input.txt', 'r') as f:
s = f.read().strip()
#s = '0222112222120000'
nr = 6
nc = 25
x = [int(c) for c in s]
d = np.array(x)
d = np.reshape(d, (-1, nr, nc))
nb = d.shape[0]
tups = []
for b in range(nb):
band = d[b,:,:]
unique, counts = np.unique(band, return_counts=True)
... | 16.888889 | 56 | 0.493421 |
d4863d12f47858c604c5d9a2bca60d6a8dccaf31 | 84 | py | Python | tests/acceptance/test_project/ignored.py | wo0dyn/raincoat | 56fb9624c92bc11690975b12efc192402ca334a4 | [
"MIT"
] | 18 | 2016-10-13T10:16:49.000Z | 2017-10-20T07:54:11.000Z | tests/acceptance/test_project/ignored.py | wo0dyn/raincoat | 56fb9624c92bc11690975b12efc192402ca334a4 | [
"MIT"
] | 18 | 2016-10-13T11:37:47.000Z | 2017-10-20T20:59:34.000Z | tests/acceptance/test_project/ignored.py | wo0dyn/raincoat | 56fb9624c92bc11690975b12efc192402ca334a4 | [
"MIT"
] | 2 | 2016-11-21T16:54:01.000Z | 2017-04-11T10:29:17.000Z | # Raincoat: pypi package: raincoat==0.1.4 path: raincoat/_acceptance_test.py # noqa
| 42 | 83 | 0.761905 |
d488b45de299bd292d25b6ff91c6ea9e5d97612a | 2,164 | py | Python | configs/recognition/tpn/inference_tpn_slowonly_rpl.py | Cogito2012/DEAR | 97d0e8f191da0f20dcc9721280af48171dabef5e | [
"Apache-2.0"
] | 47 | 2021-09-02T10:42:29.000Z | 2022-03-31T01:37:49.000Z | configs/recognition/tpn/inference_tpn_slowonly_rpl.py | Cogito2012/DEAR | 97d0e8f191da0f20dcc9721280af48171dabef5e | [
"Apache-2.0"
] | 2 | 2021-12-05T02:28:42.000Z | 2022-01-05T06:46:10.000Z | configs/recognition/tpn/inference_tpn_slowonly_rpl.py | Cogito2012/DEAR | 97d0e8f191da0f20dcc9721280af48171dabef5e | [
"Apache-2.0"
] | 6 | 2021-09-19T16:31:32.000Z | 2022-03-03T06:57:34.000Z | # model settings
model = dict(
type='Recognizer3DRPL',
backbone=dict(
type='ResNet3dSlowOnly',
depth=50,
pretrained='torchvision://resnet50',
lateral=False,
out_indices=(2, 3),
conv1_kernel=(1, 7, 7),
conv1_stride_t=1,
pool1_stride_t=1,
inf... | 31.362319 | 78 | 0.583641 |