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f7af32c0de7c050bf221c8fa53e7b8146120211e | 11,892 | py | Python | custom_components/discord_game/sensor.py | Myztillx/discord_game | d2413a41ca3918bf2836b3b577fccca86b85ff05 | [
"MIT"
] | null | null | null | custom_components/discord_game/sensor.py | Myztillx/discord_game | d2413a41ca3918bf2836b3b577fccca86b85ff05 | [
"MIT"
] | null | null | null | custom_components/discord_game/sensor.py | Myztillx/discord_game | d2413a41ca3918bf2836b3b577fccca86b85ff05 | [
"MIT"
] | null | null | null | import asyncio
import json
import logging
import re
import homeassistant.helpers.config_validation as cv
import voluptuous as vol
from discord import ActivityType, Spotify, Game, Streaming, CustomActivity, Activity, Member, User
from homeassistant.components.notify import PLATFORM_SCHEMA
from homeassistant.const impor... | 38.862745 | 147 | 0.632862 | 3,400 | 0.285906 | 0 | 0 | 3,141 | 0.264127 | 7,581 | 0.637487 | 958 | 0.080558 |
f7af40aed66aeeaae2505edaa30898f512812b45 | 329 | py | Python | Mundo 1/ex_014.py | Shock3/Python_Exercicios | 4420569e881b883728168aabe76b0e9f3a42597f | [
"MIT"
] | null | null | null | Mundo 1/ex_014.py | Shock3/Python_Exercicios | 4420569e881b883728168aabe76b0e9f3a42597f | [
"MIT"
] | null | null | null | Mundo 1/ex_014.py | Shock3/Python_Exercicios | 4420569e881b883728168aabe76b0e9f3a42597f | [
"MIT"
] | null | null | null | """
Escreva um programa que converta uma temperatura,
digitando em graus Celsius e converta para graus Fahrenheit.
"""
celsius = int(input('Digite a temperatura: '))
fahrenheit = (celsius / 5) * 9 + 32
Kelvin = celsius + 273
print(f'A temperatura {celsius}°C em Fahrenheit é {fahrenheit}°F')
print(f'E em Kevin fica {Kel... | 32.9 | 66 | 0.723404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 233 | 0.701807 |
f7af8bb0d4f3220811a9ca15ffd7c866a271a05f | 24 | py | Python | opensecrets/__init__.py | ndanielsen/py-opensecrets | b362d993fdcff6fc6a0d33ec2db75fb1da418a84 | [
"MIT"
] | 1 | 2018-02-15T03:59:13.000Z | 2018-02-15T03:59:13.000Z | opensecrets/__init__.py | ndanielsen/py-opensecrets | b362d993fdcff6fc6a0d33ec2db75fb1da418a84 | [
"MIT"
] | 11 | 2018-02-14T16:23:17.000Z | 2018-04-05T16:14:49.000Z | opensecrets/__init__.py | ndanielsen/py-opensecrets | b362d993fdcff6fc6a0d33ec2db75fb1da418a84 | [
"MIT"
] | null | null | null | from .crpapi import CRP
| 12 | 23 | 0.791667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7afb1df4dc8682c54d3708fff34533b6c3286db | 2,933 | py | Python | fumblr/services/imgur.py | jonoco/fumblr | cfbbea365299b9edba05c04de77cb003d03b6186 | [
"MIT"
] | 2 | 2017-04-13T02:58:24.000Z | 2021-05-04T00:36:57.000Z | fumblr/services/imgur.py | jonoco/fumblr | cfbbea365299b9edba05c04de77cb003d03b6186 | [
"MIT"
] | 2 | 2020-09-09T22:10:40.000Z | 2021-02-08T20:22:28.000Z | fumblr/services/imgur.py | jonoco/fumblr | cfbbea365299b9edba05c04de77cb003d03b6186 | [
"MIT"
] | 4 | 2019-07-30T12:17:55.000Z | 2020-08-28T14:51:22.000Z | from fumblr.keys import IMGUR_SECRET, IMGUR_ID
from imgurpython import ImgurClient, helpers
import os
import base64
API_URL = 'https://api.imgur.com/3/'
def get_client():
"""
Get an API client for Imgur
Returns:
Imgur client if it is available
"""
try:
return ImgurClient(IMGUR_ID... | 20.51049 | 83 | 0.57177 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,673 | 0.570406 |
f7b31ccb2c831e63f0930af029ae9e690135237c | 3,584 | py | Python | source/src/molecular-unfolding/lambda/AthenaTableLambda/app.py | awslabs/quantum-ready-solution-for-drug-discovery | a015589995dc17a56bcd0da9332f63d966d08ace | [
"Apache-2.0"
] | 10 | 2022-01-26T01:08:50.000Z | 2022-03-31T03:03:44.000Z | source/src/molecular-unfolding/lambda/AthenaTableLambda/app.py | awslabs/quantum-ready-solution-for-drug-discovery | a015589995dc17a56bcd0da9332f63d966d08ace | [
"Apache-2.0"
] | 47 | 2022-01-26T01:27:35.000Z | 2022-03-29T04:34:51.000Z | source/src/molecular-unfolding/lambda/AthenaTableLambda/app.py | awslabs/quantum-ready-solution-for-drug-discovery | a015589995dc17a56bcd0da9332f63d966d08ace | [
"Apache-2.0"
] | 5 | 2022-02-08T02:30:11.000Z | 2022-03-25T01:59:15.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
import boto3
import botocore
import os
import logging
import time
import json
import datetime
log = logging.getLogger()
log.setLevel('INFO')
bucket = os.environ['BUCKET']
region = os.environ['AWS_REGION']
solu... | 34.461538 | 265 | 0.677176 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,758 | 0.490513 |
f7b33150fa99668b4eb5ad17455848d84b07ab75 | 14,664 | py | Python | osf/management/commands/populate_custom_taxonomies.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | osf/management/commands/populate_custom_taxonomies.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | osf/management/commands/populate_custom_taxonomies.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | import json
import logging
from django.core.management.base import BaseCommand
from django.db import transaction
from osf.models import AbstractProvider, PreprintProvider, Preprint, Subject
from osf.models.provider import rules_to_subjects
from scripts import utils as script_utils
from osf.models.validators import va... | 52.185053 | 228 | 0.694558 | 3,182 | 0.216994 | 0 | 0 | 0 | 0 | 0 | 0 | 3,819 | 0.260434 |
f7b36ab04da3147e45f62315611a09ce95152628 | 2,999 | py | Python | examples/animated_rsh.py | sophiaas/e3nn | 92351b9225df7aeaf70fdc124c7b0e566d4c0eda | [
"MIT"
] | 1 | 2021-01-11T18:34:39.000Z | 2021-01-11T18:34:39.000Z | examples/animated_rsh.py | sophiaas/e3nn | 92351b9225df7aeaf70fdc124c7b0e566d4c0eda | [
"MIT"
] | null | null | null | examples/animated_rsh.py | sophiaas/e3nn | 92351b9225df7aeaf70fdc124c7b0e566d4c0eda | [
"MIT"
] | null | null | null | # pylint: disable=not-callable, no-member, invalid-name, missing-docstring, line-too-long
import math
import os
import subprocess
import argparse
import shutil
import tqdm
import plotly.graph_objs as go
import torch
from e3nn import o3, rsh
def rsh_surface(l, m, scale, tr, rot):
n = 50
a = torch.linspace(0,... | 26.776786 | 118 | 0.518506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 338 | 0.112704 |
f7b44e0603289410fe1b212dcf1e2a0ad54c9500 | 62 | py | Python | errores.py | fbzavaleta/DS_Software_Stack | 37cb42c129a6ff4e04704b90cd5b13db3ad9dfcf | [
"MIT"
] | null | null | null | errores.py | fbzavaleta/DS_Software_Stack | 37cb42c129a6ff4e04704b90cd5b13db3ad9dfcf | [
"MIT"
] | null | null | null | errores.py | fbzavaleta/DS_Software_Stack | 37cb42c129a6ff4e04704b90cd5b13db3ad9dfcf | [
"MIT"
] | null | null | null | #
E_LEN = "No es posible operar vectores de diferente módulo"
| 20.666667 | 59 | 0.758065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.84127 |
f7b491ed05c90e96397d418234149764a3bc7143 | 8,449 | py | Python | dataset.py | gzaraunitn/TA3N | d83ae5d9c8f4452ff69dd9002bb4016a695a4be8 | [
"MIT"
] | null | null | null | dataset.py | gzaraunitn/TA3N | d83ae5d9c8f4452ff69dd9002bb4016a695a4be8 | [
"MIT"
] | null | null | null | dataset.py | gzaraunitn/TA3N | d83ae5d9c8f4452ff69dd9002bb4016a695a4be8 | [
"MIT"
] | null | null | null | import torch.utils.data as data
import os
import os.path
import numpy as np
from numpy.random import randint
import torch
from colorama import init
from colorama import Fore, Back, Style
import random
from os import listdir
from os.path import join, splitext
import numpy as np
import torch
import torch.nn.functiona... | 34.345528 | 142 | 0.610486 | 7,916 | 0.936916 | 0 | 0 | 191 | 0.022606 | 0 | 0 | 734 | 0.086874 |
f7b50b715b179630c9fcdafb1ce4cd54b3be0ee5 | 423 | py | Python | edm_web1/middleware/errors.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | edm_web1/middleware/errors.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | 18 | 2020-06-05T18:17:40.000Z | 2022-03-11T23:25:21.000Z | edm_web1/middleware/errors.py | zhouli121018/nodejsgm | 0ccbc8acf61badc812f684dd39253d55c99f08eb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.http import HttpResponseForbidden
from django.template import loader
from django.utils.translation import ugettext_lazy as _
# 普通用户
def _requred_forbid(msg):
t = loader.get_template('limit_ip.html')
content = t.render({'message': msg })
return HttpResponseForbidden(cont... | 26.4375 | 55 | 0.754137 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 0.273523 |
f7b55905ea97e096b70cfda1b4ce991e067b06eb | 151 | py | Python | data/windows/dr16/mask.py | dnidever/apogee | 83ad7496a0b4193df9e2c01b06dc36cb879ea6c1 | [
"BSD-3-Clause"
] | 5 | 2019-04-11T13:35:24.000Z | 2019-11-14T06:12:51.000Z | data/windows/dr16/mask.py | dnidever/apogee | 83ad7496a0b4193df9e2c01b06dc36cb879ea6c1 | [
"BSD-3-Clause"
] | null | null | null | data/windows/dr16/mask.py | dnidever/apogee | 83ad7496a0b4193df9e2c01b06dc36cb879ea6c1 | [
"BSD-3-Clause"
] | 5 | 2018-09-20T22:07:43.000Z | 2021-01-15T07:13:38.000Z | from apogee.aspcap import aspcap
from apogee.aspcap import mask
els=aspcap.elems()
for el in els[0]: mask.mkmask(el,globalmask='mask_v02_aspcap.txt')
| 25.166667 | 66 | 0.788079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.139073 |
f7b6cec7ff18c898066933b6660bdaa93907b21d | 7,368 | py | Python | dragonfly/opt/unittest_cp_random_multiobjective_optimiser.py | anonymous-submission000/mobo | 090f774d742c7155c5e5ba01c10e7db7b93b6a0a | [
"MIT"
] | 1 | 2022-02-17T08:50:47.000Z | 2022-02-17T08:50:47.000Z | dragonfly/opt/unittest_cp_random_multiobjective_optimiser.py | anonymous-submission000/mobo | 090f774d742c7155c5e5ba01c10e7db7b93b6a0a | [
"MIT"
] | null | null | null | dragonfly/opt/unittest_cp_random_multiobjective_optimiser.py | anonymous-submission000/mobo | 090f774d742c7155c5e5ba01c10e7db7b93b6a0a | [
"MIT"
] | null | null | null | """
Unit tests for Random CP optimiser on Cartesian product domains.
-- [email protected]
"""
# pylint: disable=invalid-name
# pylint: disable=abstract-class-little-used
import os
from . import random_multiobjective_optimiser
from ..exd.cp_domain_utils import get_raw_point_from_processed_point, \
load_co... | 48.794702 | 120 | 0.621607 | 6,532 | 0.886536 | 0 | 0 | 1,356 | 0.184039 | 0 | 0 | 1,448 | 0.196526 |
f7b7563d85b1f23ad406817127e2c0f401a6930a | 2,817 | py | Python | corehq/apps/app_manager/app_schemas/casedb_schema.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 1 | 2020-07-14T13:00:23.000Z | 2020-07-14T13:00:23.000Z | corehq/apps/app_manager/app_schemas/casedb_schema.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | 94 | 2020-12-11T06:57:31.000Z | 2022-03-15T10:24:06.000Z | corehq/apps/app_manager/app_schemas/casedb_schema.py | dimagilg/commcare-hq | ea1786238eae556bb7f1cbd8d2460171af1b619c | [
"BSD-3-Clause"
] | null | null | null | from corehq import toggles
from corehq.apps.app_manager.app_schemas.case_properties import (
ParentCasePropertyBuilder,
get_usercase_properties,
)
from corehq.apps.app_manager.const import USERCASE_TYPE
from corehq.apps.app_manager.util import is_usercase_in_use
from corehq.apps.data_dictionary.util import get_... | 39.125 | 104 | 0.635428 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 730 | 0.259141 |
f7b75acf0297c3ab2601bc579ad2b3528994326d | 28 | py | Python | python/testData/keywordCompletion/noMatchInCondition.py | 06needhamt/intellij-community | 63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b | [
"Apache-2.0"
] | null | null | null | python/testData/keywordCompletion/noMatchInCondition.py | 06needhamt/intellij-community | 63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b | [
"Apache-2.0"
] | null | null | null | python/testData/keywordCompletion/noMatchInCondition.py | 06needhamt/intellij-community | 63d7b8030e4fdefeb4760e511e289f7e6b3a5c5b | [
"Apache-2.0"
] | null | null | null | matches = True
if mat<caret> | 14 | 14 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7b8c19ee74b54f26fc920af5e0e656df23e85a5 | 3,597 | py | Python | bookshelf/bookshelf/model_aerospike.py | fakeskimo/as2bt | 0872192e703a2992dea7bee2bf2544727d6094ee | [
"Apache-2.0"
] | null | null | null | bookshelf/bookshelf/model_aerospike.py | fakeskimo/as2bt | 0872192e703a2992dea7bee2bf2544727d6094ee | [
"Apache-2.0"
] | null | null | null | bookshelf/bookshelf/model_aerospike.py | fakeskimo/as2bt | 0872192e703a2992dea7bee2bf2544727d6094ee | [
"Apache-2.0"
] | null | null | null | import math
import aerospike
from aerospike import predicates as p
from aerospike import exception as ex
from flask import current_app
aerospike_host = current_app.config['AEROSPIKE_HOST']
aerospike_port = current_app.config['AEROSPIKE_PORT']
namespace = current_app.config['AEROSPIKE_NAMESPACE']
set_name = current_... | 22.341615 | 96 | 0.626633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 947 | 0.263275 |
f7b8e6d755230cb8c58e980bba16ad5edecee7d7 | 1,437 | py | Python | examples/EC2.py | nimRobotics/fnirslib | 0273c0da5f4a41d7cf4dac0fc9686c38f2c7b0cd | [
"MIT"
] | null | null | null | examples/EC2.py | nimRobotics/fnirslib | 0273c0da5f4a41d7cf4dac0fc9686c38f2c7b0cd | [
"MIT"
] | null | null | null | examples/EC2.py | nimRobotics/fnirslib | 0273c0da5f4a41d7cf4dac0fc9686c38f2c7b0cd | [
"MIT"
] | null | null | null | """
author: @nimrobotics
description: calculates the effective connectivity between regions and plots them
"""
import numpy as np
import scipy.io
import glob
import sys
sys.path.append('../utils')
from plots import plotData
dir = "./process3/" #directory of the data
outdir = 'process3/' #directory to save the plots
r... | 31.933333 | 133 | 0.659708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 680 | 0.473208 |
f7b9749cf050209379cfad2f528020cbb5090d82 | 263 | py | Python | feed/models.py | Lisgevan/DJANGO-101-PROJECT-COPY | 01655b30682efd435d91e85223af0fd6186e6a59 | [
"MIT"
] | null | null | null | feed/models.py | Lisgevan/DJANGO-101-PROJECT-COPY | 01655b30682efd435d91e85223af0fd6186e6a59 | [
"MIT"
] | null | null | null | feed/models.py | Lisgevan/DJANGO-101-PROJECT-COPY | 01655b30682efd435d91e85223af0fd6186e6a59 | [
"MIT"
] | null | null | null | from django.db import models
from sorl.thumbnail import ImageField
# Create your models here.
class Post(models.Model):
text = models.CharField(max_length=140, blank=False, null=False)
image = ImageField()
def __str__(self):
return self.text | 26.3 | 68 | 0.726236 | 168 | 0.638783 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.098859 |
f7bb92af288264a3c094d6c7636074324c8ab56d | 12,847 | py | Python | gcp/docker/infrastructure/rapids_lib.py | ethem-kinginthenorth/cloud-ml-examples | e434d2bdbf2adf058dc436f992a56585537dc8ab | [
"Apache-2.0"
] | 1 | 2022-03-23T05:10:45.000Z | 2022-03-23T05:10:45.000Z | gcp/docker/infrastructure/rapids_lib.py | ethem-kinginthenorth/cloud-ml-examples | e434d2bdbf2adf058dc436f992a56585537dc8ab | [
"Apache-2.0"
] | null | null | null | gcp/docker/infrastructure/rapids_lib.py | ethem-kinginthenorth/cloud-ml-examples | e434d2bdbf2adf058dc436f992a56585537dc8ab | [
"Apache-2.0"
] | null | null | null | # os
import sys, os, time, logging
# CPU DS stack
import pandas as pd
import numpy as np
import sklearn
# GPU DS stack [ rapids ]
import gcsfs
# scaling library
import dask
# data ingestion [ CPU ]
from pyarrow import orc as pyarrow_orc
# ML models
from sklearn import ensemble
import xgboost
# data set splits
fro... | 38.57958 | 138 | 0.599829 | 11,281 | 0.878104 | 0 | 0 | 0 | 0 | 0 | 0 | 3,211 | 0.249942 |
f7bc4cc67a214b3d1cc41c823e3eb37e1f5d2531 | 5,011 | py | Python | docs/making_widgets_from_scratch/line_clock.py | Rahuum/glooey | 932edca1c8fdd710f1941038e47ac8d25a31a1a8 | [
"MIT"
] | 86 | 2016-11-28T12:34:28.000Z | 2022-03-17T13:49:49.000Z | docs/making_widgets_from_scratch/line_clock.py | Rahuum/glooey | 932edca1c8fdd710f1941038e47ac8d25a31a1a8 | [
"MIT"
] | 57 | 2017-03-07T10:11:52.000Z | 2022-01-16T19:35:33.000Z | docs/making_widgets_from_scratch/line_clock.py | Rahuum/glooey | 932edca1c8fdd710f1941038e47ac8d25a31a1a8 | [
"MIT"
] | 9 | 2017-03-15T18:55:50.000Z | 2022-02-17T14:52:49.000Z | #!/usr/bin/env python3
import pyglet
import glooey
import autoprop
import datetime
from pyglet.gl import *
from vecrec import Vector, Rect
@autoprop
class LineClock(glooey.Widget):
custom_radius = 50
custom_color = 'green'
custom_hour_hand_width = 3
custom_minute_hand_width = 2
custom_second_hand_... | 28.151685 | 79 | 0.580124 | 4,759 | 0.949142 | 0 | 0 | 4,340 | 0.865576 | 0 | 0 | 900 | 0.179497 |
f7bd078884fa7f447ad7081c6426bb1a2e21941b | 625 | py | Python | forms_builder/forms/migrations/0004_auto_20180727_1256.py | maqmigh/django-forms-builder | 1a0068d1d07498f4a2e160c46ec85b9a5f2ddd98 | [
"BSD-2-Clause"
] | null | null | null | forms_builder/forms/migrations/0004_auto_20180727_1256.py | maqmigh/django-forms-builder | 1a0068d1d07498f4a2e160c46ec85b9a5f2ddd98 | [
"BSD-2-Clause"
] | null | null | null | forms_builder/forms/migrations/0004_auto_20180727_1256.py | maqmigh/django-forms-builder | 1a0068d1d07498f4a2e160c46ec85b9a5f2ddd98 | [
"BSD-2-Clause"
] | null | null | null | # coding=utf-8
# Generated by Django 2.0.7 on 2018-07-27 10:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('forms', '0003_auto_20180522_0820'),
]
operations = [
migrations.AlterField(
model_name='field',
name=... | 25 | 90 | 0.5968 | 517 | 0.8272 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.224 |
f7bd2e55648aaa2a1a246e97711c0fc010416b3b | 5,711 | py | Python | scripts/sighan/generate.py | piglaker/SpecialEdition | 172688ef111e1b5c62bdb1ba0a523a2654201b90 | [
"Apache-2.0"
] | 2 | 2022-01-06T07:41:50.000Z | 2022-01-22T14:18:51.000Z | scripts/sighan/generate.py | piglaker/SpecialEdition | 172688ef111e1b5c62bdb1ba0a523a2654201b90 | [
"Apache-2.0"
] | null | null | null | scripts/sighan/generate.py | piglaker/SpecialEdition | 172688ef111e1b5c62bdb1ba0a523a2654201b90 | [
"Apache-2.0"
] | null | null | null | import os
import re
import sys
import json
#upper import
sys.path.append("../../")
from utils import levenshtein
from utils.io import load_json, write_to
def strQ2B(ustring):
"""全角转半角"""
rstring = ""
for uchar in ustring:
inside_code=ord(uchar)
if inside_code == 12288: ... | 33.994048 | 179 | 0.629487 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,693 | 0.293567 |
f7bde64d861ea84f6a0483cdddf17127e95c800d | 67 | py | Python | keras_retinanet/backend/__init__.py | mj-haghighi/keras-retinanet | 644c2f8da799889a2a3f6cc833478256cbe32c23 | [
"Apache-2.0"
] | null | null | null | keras_retinanet/backend/__init__.py | mj-haghighi/keras-retinanet | 644c2f8da799889a2a3f6cc833478256cbe32c23 | [
"Apache-2.0"
] | null | null | null | keras_retinanet/backend/__init__.py | mj-haghighi/keras-retinanet | 644c2f8da799889a2a3f6cc833478256cbe32c23 | [
"Apache-2.0"
] | null | null | null | # from .backend import * # noqa: F401,F403
from .sbackend import * | 33.5 | 43 | 0.701493 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.641791 |
f7bf187ba4675f05a89f42e9783052fe7bcd13c5 | 647 | py | Python | docs/_docs/bash/az3166_patch_binary.py | skolbin-ssi/azure-iot-developer-kit | 24035c8870e9c342d055bcd586529441078af0a0 | [
"MIT"
] | 43 | 2017-10-03T23:03:23.000Z | 2019-04-27T18:57:16.000Z | docs/_docs/bash/az3166_patch_binary.py | skolbin-ssi/azure-iot-developer-kit | 24035c8870e9c342d055bcd586529441078af0a0 | [
"MIT"
] | 114 | 2017-09-20T02:51:28.000Z | 2019-05-06T06:13:14.000Z | docs/_docs/bash/az3166_patch_binary.py | skolbin-ssi/azure-iot-developer-kit | 24035c8870e9c342d055bcd586529441078af0a0 | [
"MIT"
] | 48 | 2017-09-19T08:18:52.000Z | 2019-04-19T11:44:32.000Z | # ----------------------------------------------------------------------------
# Copyright (C) Microsoft. All rights reserved.
# Licensed under the MIT license.
# ----------------------------------------------------------------------------
import os
import binascii
import struct
import shutil
import inspect
import s... | 29.409091 | 78 | 0.482226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 276 | 0.426584 |
f7bfccc428289385cc22ed6c618de770f292647a | 590 | py | Python | setup.py | FireXStuff/firex-bundle-ci | 05ef1d9017b3553e8f4249da9a96e313f0ad7047 | [
"BSD-3-Clause"
] | 1 | 2021-01-08T19:50:33.000Z | 2021-01-08T19:50:33.000Z | setup.py | FireXStuff/firex-bundle-ci | 05ef1d9017b3553e8f4249da9a96e313f0ad7047 | [
"BSD-3-Clause"
] | null | null | null | setup.py | FireXStuff/firex-bundle-ci | 05ef1d9017b3553e8f4249da9a96e313f0ad7047 | [
"BSD-3-Clause"
] | null | null | null | import versioneer
from setuptools import setup
setup(name='firex-bundle-ci',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
description='FireX CI services',
url='https://github.com/FireXStuff/firex-bundle-ci.git',
author='Core FireX Team',
author_email='firex-... | 26.818182 | 62 | 0.60678 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 222 | 0.376271 |
f7c03e8c3283127463ae5c11c8faf6e12bf38615 | 1,951 | py | Python | meta_middleware/meta_middleware/middleware.py | kevin-wyx/ProxyFS | 76d9478c9e87c18950f2e4659b397a397fb1ac69 | [
"Apache-2.0"
] | null | null | null | meta_middleware/meta_middleware/middleware.py | kevin-wyx/ProxyFS | 76d9478c9e87c18950f2e4659b397a397fb1ac69 | [
"Apache-2.0"
] | null | null | null | meta_middleware/meta_middleware/middleware.py | kevin-wyx/ProxyFS | 76d9478c9e87c18950f2e4659b397a397fb1ac69 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 SwiftStack, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... | 34.22807 | 112 | 0.633521 | 1,164 | 0.596617 | 0 | 0 | 0 | 0 | 0 | 0 | 786 | 0.40287 |
f7c20796c689531f3a41f3738826f84aead341b4 | 1,397 | py | Python | distpy/util/__init__.py | CU-NESS/distpy | 279ba7e46726a85246566401fca19b8739d18d08 | [
"Apache-2.0"
] | null | null | null | distpy/util/__init__.py | CU-NESS/distpy | 279ba7e46726a85246566401fca19b8739d18d08 | [
"Apache-2.0"
] | null | null | null | distpy/util/__init__.py | CU-NESS/distpy | 279ba7e46726a85246566401fca19b8739d18d08 | [
"Apache-2.0"
] | null | null | null | """
Introduces utilities used throughout the package, including:
- interfaces for making objects `distpy.util.Savable.Savable` and
`distpy.util.Loadable.Loadable` in binary hdf5 files using h5py
- helper methods for using h5py to save and load variables and arrays
(`h5py_extensions`)
- type category definitions (`... | 43.65625 | 79 | 0.800286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 763 | 0.54617 |
f7c31602d3ba09f1a3970f8ce071305eb086135d | 74 | py | Python | Crypto-hardRSA/flag.py | JSW2020/hsctf-2019-freshmen | 5282d6d51153aadd62f42673aa3d487f8d7ef45b | [
"MIT"
] | 16 | 2019-12-09T15:53:08.000Z | 2021-12-07T00:34:30.000Z | Crypto-hardRSA/flag.py | JSW2020/hsctf-2019-freshmen | 5282d6d51153aadd62f42673aa3d487f8d7ef45b | [
"MIT"
] | null | null | null | Crypto-hardRSA/flag.py | JSW2020/hsctf-2019-freshmen | 5282d6d51153aadd62f42673aa3d487f8d7ef45b | [
"MIT"
] | 7 | 2019-12-09T11:53:52.000Z | 2021-11-14T04:09:04.000Z | flag = "flag{b3453333-9da9-49ae-b4ed-0017c392d58e}"
e1 = 65537
e2 = 368273 | 24.666667 | 51 | 0.743243 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.594595 |
f7c3c4d630855f49542b120f69474ebe854a401b | 310 | py | Python | toast/decorators/__init__.py | joshuaskelly/Toast | 741bc17992fd654c9834b080189eb800202ce999 | [
"MIT"
] | null | null | null | toast/decorators/__init__.py | joshuaskelly/Toast | 741bc17992fd654c9834b080189eb800202ce999 | [
"MIT"
] | null | null | null | toast/decorators/__init__.py | joshuaskelly/Toast | 741bc17992fd654c9834b080189eb800202ce999 | [
"MIT"
] | null | null | null | class call_if(object):
def __init__(self, cond):
self.condition = cond
def __call__(self, func):
def inner(*args, **kwargs):
if getattr(args[0], self.condition):
return func(*args, **kwargs)
else:
return None
return inner | 28.181818 | 48 | 0.525806 | 310 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7c417316d84349935d37272663f36b5a52c49ff | 1,165 | py | Python | drogher/package/fedex.py | thisisnotmyuserid/drogher | f8ea5e34dad6a2e9f22608b4ae4a6f7032133e45 | [
"BSD-3-Clause"
] | 13 | 2017-04-24T07:49:30.000Z | 2020-09-22T13:13:13.000Z | drogher/package/fedex.py | thisisnotmyuserid/drogher | f8ea5e34dad6a2e9f22608b4ae4a6f7032133e45 | [
"BSD-3-Clause"
] | null | null | null | drogher/package/fedex.py | thisisnotmyuserid/drogher | f8ea5e34dad6a2e9f22608b4ae4a6f7032133e45 | [
"BSD-3-Clause"
] | 4 | 2018-09-08T05:31:57.000Z | 2022-02-10T17:42:31.000Z | import itertools
from .base import Package
class FedEx(Package):
shipper = 'FedEx'
class FedExExpress(FedEx):
barcode_pattern = r'^\d{34}$'
@property
def tracking_number(self):
return self.barcode[20:22].lstrip('0') + self.barcode[22:]
@property
def valid_checksum(self):
c... | 25.326087 | 80 | 0.574249 | 1,112 | 0.954506 | 0 | 0 | 922 | 0.791416 | 0 | 0 | 34 | 0.029185 |
f7c4b93a5f9fe2cd51baa68e74a1491e4f04cbf5 | 1,535 | py | Python | nipy/labs/spatial_models/tests/test_bsa_io.py | arokem/nipy | d6b2e862c65558bb5747c36140fd6261a7e1ecfe | [
"BSD-3-Clause"
] | null | null | null | nipy/labs/spatial_models/tests/test_bsa_io.py | arokem/nipy | d6b2e862c65558bb5747c36140fd6261a7e1ecfe | [
"BSD-3-Clause"
] | null | null | null | nipy/labs/spatial_models/tests/test_bsa_io.py | arokem/nipy | d6b2e862c65558bb5747c36140fd6261a7e1ecfe | [
"BSD-3-Clause"
] | null | null | null | from __future__ import with_statement
from nose.tools import assert_true
from os.path import exists
import numpy as np
from nibabel import Nifti1Image
from numpy.testing import assert_equal
from ...utils.simul_multisubject_fmri_dataset import surrogate_3d_dataset
from ..bsa_io import make_bsa_image
from nibabel.tmpdirs... | 34.111111 | 79 | 0.699674 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0.168078 |
f7c5189c4c9985714dd619cfadbc0baf92efab39 | 5,099 | py | Python | MFSDA/MFSDA_run.py | bpaniagua/MFSDA_Python | d7e439fe670d5e2731c9ec722919a74f67b01e30 | [
"Apache-2.0"
] | 3 | 2020-08-10T08:57:36.000Z | 2021-04-04T01:12:50.000Z | MFSDA/MFSDA_run.py | bpaniagua/MFSDA_Python | d7e439fe670d5e2731c9ec722919a74f67b01e30 | [
"Apache-2.0"
] | 17 | 2018-08-03T14:25:52.000Z | 2022-02-06T18:19:39.000Z | MFSDA/MFSDA_run.py | bpaniagua/MFSDA_Python | d7e439fe670d5e2731c9ec722919a74f67b01e30 | [
"Apache-2.0"
] | 13 | 2017-11-14T17:22:32.000Z | 2020-12-10T16:55:58.000Z | #!/usr/bin/env python-real
# -*- coding: utf-8 -*-
"""
Run script: multivariate functional shape data analysis (MFSDA).
Author: Chao Huang ([email protected])
Last update: 2017-08-14
"""
import sys,os
sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)),os.path.join('Resources','Libraries')... | 29.818713 | 130 | 0.642871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,325 | 0.259855 |
f7c72117e015e7f0761f5162d10f3d3cf0ddb74f | 1,671 | py | Python | modules/mongodb_atlas/mongodb_atlas.py | riddopic/opta | 25fa6435fdc7e2ea9c7963ed74100fffb0743063 | [
"Apache-2.0"
] | 595 | 2021-05-21T22:30:48.000Z | 2022-03-31T15:40:25.000Z | modules/mongodb_atlas/mongodb_atlas.py | riddopic/opta | 25fa6435fdc7e2ea9c7963ed74100fffb0743063 | [
"Apache-2.0"
] | 463 | 2021-05-24T21:32:59.000Z | 2022-03-31T17:12:33.000Z | modules/mongodb_atlas/mongodb_atlas.py | riddopic/opta | 25fa6435fdc7e2ea9c7963ed74100fffb0743063 | [
"Apache-2.0"
] | 29 | 2021-05-21T22:27:52.000Z | 2022-03-28T16:43:45.000Z | import os
from typing import TYPE_CHECKING
from modules.base import ModuleProcessor
from opta.core.terraform import get_terraform_outputs
from opta.exceptions import UserErrors
if TYPE_CHECKING:
from opta.layer import Layer
from opta.module import Module
class MongodbAtlasProcessor(ModuleProcessor):
def... | 37.133333 | 98 | 0.663076 | 1,403 | 0.839617 | 0 | 0 | 0 | 0 | 0 | 0 | 376 | 0.225015 |
f7c92906bdd05fb9011ed12eacbe0ac0a33b671e | 502 | py | Python | python/tests/testdata/region_HU.py | kevin-brown/python-phonenumbers | e4ae191e6fae47581eb40d3d23c7e2b7d422c326 | [
"Apache-2.0"
] | 1 | 2019-08-06T03:19:28.000Z | 2019-08-06T03:19:28.000Z | python/tests/testdata/region_HU.py | kevin-brown/python-phonenumbers | e4ae191e6fae47581eb40d3d23c7e2b7d422c326 | [
"Apache-2.0"
] | null | null | null | python/tests/testdata/region_HU.py | kevin-brown/python-phonenumbers | e4ae191e6fae47581eb40d3d23c7e2b7d422c326 | [
"Apache-2.0"
] | 2 | 2018-02-09T13:52:15.000Z | 2019-09-10T08:36:25.000Z | """Auto-generated file, do not edit by hand. HU metadata"""
from phonenumbers.phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata
PHONE_METADATA_HU = PhoneMetadata(id='HU', country_code=36, international_prefix='00',
general_desc=PhoneNumberDesc(national_number_pattern='30\\d{7}', possible_length=(9,... | 55.777778 | 113 | 0.776892 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 0.211155 |
f7c994df8beeb9e54af1a6918047db78eb8494b2 | 1,389 | py | Python | lambdas/budget-handler/lambda_handler.py | weAllWeGot/personal_financial_engine | 37c89e49aa68d6db48c10d6663135f4992a72171 | [
"Apache-2.0"
] | 2 | 2018-08-18T16:41:43.000Z | 2020-12-20T21:29:49.000Z | lambdas/budget-handler/lambda_handler.py | weallwegot/personal_financial_engine | 37c89e49aa68d6db48c10d6663135f4992a72171 | [
"Apache-2.0"
] | 12 | 2018-07-25T16:56:48.000Z | 2019-10-22T01:16:23.000Z | lambdas/budget-handler/lambda_handler.py | weAllWeGot/personal_financial_engine | 37c89e49aa68d6db48c10d6663135f4992a72171 | [
"Apache-2.0"
] | 4 | 2018-12-07T23:50:12.000Z | 2021-04-16T20:49:08.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import boto3
import csv
import json
import logging
from budget_retrieval import get_budget
from budget_placement import place_budget
def respond(err, res=None):
return {
'statusCode': '400' if err else '200',
'body': err.message if err else json.dumps... | 28.346939 | 84 | 0.645068 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 609 | 0.438445 |
f7ca0211e8a92052407acbaa028f0ad46e74b5f9 | 1,451 | py | Python | src/documenteer/stackdocs/doxygentag.py | lsst-sqre/sphinxkit | a9475d0722b0f6f89fd1c4c54eafad0564667b0b | [
"MIT"
] | 3 | 2019-04-18T02:47:06.000Z | 2021-11-09T03:49:12.000Z | src/documenteer/stackdocs/doxygentag.py | lsst-sqre/sphinxkit | a9475d0722b0f6f89fd1c4c54eafad0564667b0b | [
"MIT"
] | 29 | 2016-12-15T01:02:05.000Z | 2022-03-07T12:06:40.000Z | src/documenteer/stackdocs/doxygentag.py | lsst-sqre/sphinxkit | a9475d0722b0f6f89fd1c4c54eafad0564667b0b | [
"MIT"
] | 2 | 2016-09-12T17:44:06.000Z | 2016-12-15T00:37:05.000Z | """Utilities for working with Doxygen tag files.
"""
__all__ = ["get_tag_entity_names"]
import xml.etree.ElementTree as ET
from pathlib import Path
from typing import List, Optional, Sequence, Union
try:
from sphinxcontrib.doxylink import doxylink
except ImportError:
print(
"sphinxcontrib.doxylink is... | 24.183333 | 74 | 0.598208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 770 | 0.530669 |
f7cadf89eeb52e1e8b7bf3ad6d819d4964e7f62f | 1,263 | py | Python | src/gamesbyexample/shellgame.py | skinzor/PythonStdioGames | 75f27af19d7f1d555b0fd85fbcf215f07660b93f | [
"MIT"
] | 1 | 2019-11-30T17:04:09.000Z | 2019-11-30T17:04:09.000Z | src/gamesbyexample/shellgame.py | skinzor/PythonStdioGames | 75f27af19d7f1d555b0fd85fbcf215f07660b93f | [
"MIT"
] | null | null | null | src/gamesbyexample/shellgame.py | skinzor/PythonStdioGames | 75f27af19d7f1d555b0fd85fbcf215f07660b93f | [
"MIT"
] | null | null | null | # Shell Game, by Al Sweigart [email protected]
# A random gambling game.
import random, time, sys
print('''SHELL GAME
By Al Sweigart [email protected]
Try to find the diamond!
Press Enter to continue...''')
input()
CUPS = ['diamond', 'pocket lint', 'nothing']
while True:
print()
print('Shufflin... | 26.3125 | 93 | 0.599367 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 538 | 0.42597 |
f7cbba72cbee5b92ee9bed0dc914113ae1d6f2e4 | 1,242 | py | Python | main.py | mathew4STAR/GPT-3_based_AI | 7c5ffcd26ebbd64ee1f6fa02ec4a8529c795b809 | [
"MIT"
] | null | null | null | main.py | mathew4STAR/GPT-3_based_AI | 7c5ffcd26ebbd64ee1f6fa02ec4a8529c795b809 | [
"MIT"
] | null | null | null | main.py | mathew4STAR/GPT-3_based_AI | 7c5ffcd26ebbd64ee1f6fa02ec4a8529c795b809 | [
"MIT"
] | null | null | null | import pyttsx3
import speech_recognition as sr
import openai as op
import os
op.api_key = os.getenv("OPENAI_API_KEY")
engine = pyttsx3.init()
engine.setProperty('rate', 150)
engine.setProperty('volume', 1.0)
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)
def tell(text):
engine.s... | 24.84 | 154 | 0.638486 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 270 | 0.217391 |
f7cdafc3fcc754a52e3ada458ff7a926e8981f1d | 71,088 | py | Python | sdk/python/pulumi_azure_native/compute/v20200930/_inputs.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/compute/v20200930/_inputs.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/compute/v20200930/_inputs.py | polivbr/pulumi-azure-native | 09571f3bf6bdc4f3621aabefd1ba6c0d4ecfb0e7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 42.138708 | 389 | 0.668763 | 68,890 | 0.969081 | 0 | 0 | 69,536 | 0.978168 | 0 | 0 | 32,797 | 0.461358 |
f7cdc28f8dbf0a5fa40122f9a836204bf7e9435a | 500 | py | Python | bgp_adjacencies/BGP_check_job.py | KamyarZiabari/solutions_examples | 3dfa80d276ab13d1e489142a3fcbe2bd8ab0eba2 | [
"Apache-2.0"
] | 59 | 2019-03-08T15:08:14.000Z | 2021-12-23T15:59:03.000Z | bgp_adjacencies/BGP_check_job.py | CiscoTestAutomation/genie_solutions | 69c96f57dce466bcd767bd1ea6326aaf6a63fbcf | [
"Apache-2.0"
] | 8 | 2019-04-05T04:29:17.000Z | 2021-04-12T15:37:51.000Z | bgp_adjacencies/BGP_check_job.py | CiscoTestAutomation/genie_solutions | 69c96f57dce466bcd767bd1ea6326aaf6a63fbcf | [
"Apache-2.0"
] | 37 | 2019-03-15T21:35:38.000Z | 2022-03-22T01:49:59.000Z | # To run the job:
# pyats run job BGP_check_job.py --testbed-file <testbed_file.yaml>
# Description: This job file checks that all BGP neighbors are in Established state
import os
# All run() must be inside a main function
def main(runtime):
# Find the location of the script in relation to the job file
bgp_tes... | 38.461538 | 83 | 0.708 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 324 | 0.648 |
f7cddf9b0d9e1e72530d863ce9c077212cea7e97 | 858 | py | Python | tvae/utils/logging.py | ReallyAnonNeurips2021/TopographicVAE | 97ba47c039f7eab05ce9e17c3faea0a6ec86f1eb | [
"MIT"
] | 57 | 2021-09-02T13:20:43.000Z | 2022-03-17T18:35:55.000Z | tvae/utils/logging.py | ReallyAnonNeurips2021/TopographicVAE | 97ba47c039f7eab05ce9e17c3faea0a6ec86f1eb | [
"MIT"
] | 2 | 2021-09-07T13:06:40.000Z | 2022-03-04T11:54:22.000Z | tvae/utils/logging.py | ReallyAnonNeurips2021/TopographicVAE | 97ba47c039f7eab05ce9e17c3faea0a6ec86f1eb | [
"MIT"
] | 8 | 2021-09-07T14:48:25.000Z | 2022-03-12T05:44:32.000Z | import os
def get_dirs():
cwd = os.path.dirname(os.path.realpath(__file__))
local_savedir = cwd
local_datadir = cwd
local_wandbdir = cwd
return local_savedir, local_datadir, local_wandbdir
def configure_logging(config, name, model):
if config['wandb_on']:
import wandb
wandb... | 24.514286 | 71 | 0.56993 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.142191 |
f7cde5f2b92aa7e388bad877341add7fc6bed0cb | 521 | py | Python | create_lesson_plan/admin.py | rishabhranawat/CrowdPlatform | 1de2ad7e70fbf6cbf2e29bc9368341134b4f7e0d | [
"MIT"
] | 1 | 2020-07-23T21:35:40.000Z | 2020-07-23T21:35:40.000Z | create_lesson_plan/admin.py | rishabhranawat/CrowdPlatform | 1de2ad7e70fbf6cbf2e29bc9368341134b4f7e0d | [
"MIT"
] | 9 | 2021-02-08T20:32:35.000Z | 2022-03-02T14:58:07.000Z | create_lesson_plan/admin.py | rishabhranawat/CrowdPlatform | 1de2ad7e70fbf6cbf2e29bc9368341134b4f7e0d | [
"MIT"
] | null | null | null | from django.contrib import admin
from create_lesson_plan.models import *
admin.site.register(lesson)
admin.site.register(lesson_plan)
admin.site.register(Engage_Urls)
admin.site.register(Explain_Urls)
admin.site.register(Evaluate_Urls)
admin.site.register(MCQ)
admin.site.register(FITB)
admin.site.register(Engage_Image... | 28.944444 | 39 | 0.84261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7ce40df7d33d5f39e5868a59d46a085bed7cd64 | 3,408 | py | Python | src/models/modules/visual_bert_classifier.py | inzva/emotion-recognition-drawings | 56435f42d76c10c10fa58149ccbcc8d05efccdc0 | [
"MIT"
] | 10 | 2021-11-20T19:01:08.000Z | 2022-01-16T09:06:12.000Z | src/models/modules/visual_bert_classifier.py | inzva/emotion-recognition-drawings | 56435f42d76c10c10fa58149ccbcc8d05efccdc0 | [
"MIT"
] | 2 | 2021-12-11T12:28:03.000Z | 2021-12-13T21:09:53.000Z | src/models/modules/visual_bert_classifier.py | inzva/emotion-recognition-drawings | 56435f42d76c10c10fa58149ccbcc8d05efccdc0 | [
"MIT"
] | null | null | null | import torch
from torch import nn
from transformers import BertTokenizer, VisualBertModel, VisualBertConfig
import numpy as np
class VisualBertClassifier(nn.Module):
def __init__(self,
visual_bert_model,
num_classes: int = 8,
initial_visual_embedding_dim: int = 9... | 46.054054 | 169 | 0.667254 | 1,978 | 0.580059 | 0 | 0 | 0 | 0 | 0 | 0 | 893 | 0.261877 |
f7cfecaa2797756809c5e754e4b6bf4f05823087 | 1,006 | py | Python | narrative2vec/logging_instance/pose.py | code-iai/narrative2vec | 948071d09838ea41ee9749325af6804427a060d2 | [
"MIT"
] | null | null | null | narrative2vec/logging_instance/pose.py | code-iai/narrative2vec | 948071d09838ea41ee9749325af6804427a060d2 | [
"MIT"
] | null | null | null | narrative2vec/logging_instance/pose.py | code-iai/narrative2vec | 948071d09838ea41ee9749325af6804427a060d2 | [
"MIT"
] | null | null | null | from narrative2vec.logging_instance.logging_instance import LoggingInstance, _get_first_rdf_query_result
from narrative2vec.logging_instance.reasoning_task import ReasoningTask
from narrative2vec.ontology.neemNarrativeDefinitions import QUATERNION
from narrative2vec.ontology.ontologyHandler import get_knowrob_uri
cla... | 43.73913 | 104 | 0.781312 | 689 | 0.684891 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.035785 |
f7d0423ade6b86198698a9b5f2ef5a03964e0231 | 288 | py | Python | kobra/settings/development.py | karservice/kobra | 2019fd3be499c06d2527e80576fd6ff03d8fe151 | [
"MIT"
] | 4 | 2016-08-28T16:00:20.000Z | 2018-01-31T18:22:43.000Z | kobra/settings/development.py | karservice/kobra | 2019fd3be499c06d2527e80576fd6ff03d8fe151 | [
"MIT"
] | 25 | 2016-08-15T20:57:59.000Z | 2022-02-10T18:14:48.000Z | kobra/settings/development.py | karservice/kobra | 2019fd3be499c06d2527e80576fd6ff03d8fe151 | [
"MIT"
] | 1 | 2017-02-06T17:13:16.000Z | 2017-02-06T17:13:16.000Z | # -*- coding: utf-8 -*-
from . import *
SECRET_KEY = env.str('KOBRA_SECRET_KEY',
'Unsafe_development_key._Never_use_in_production.')
DEBUG = env.bool('KOBRA_DEBUG_MODE', True)
DATABASES = {
'default': env.db_url('KOBRA_DATABASE_URL', 'sqlite:///db.sqlite3')
}
| 24 | 72 | 0.652778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0.555556 |
f7d06f7dd5791848e16c5019b980180600add19a | 4,153 | py | Python | foobot_grapher.py | jpwright/foobot-slack | ffc1cf8490d08433d76bb62cbf7440c765089784 | [
"MIT"
] | 1 | 2018-02-17T14:29:41.000Z | 2018-02-17T14:29:41.000Z | foobot_grapher.py | jpwright/foobot-slack | ffc1cf8490d08433d76bb62cbf7440c765089784 | [
"MIT"
] | null | null | null | foobot_grapher.py | jpwright/foobot-slack | ffc1cf8490d08433d76bb62cbf7440c765089784 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from pyfoobot import Foobot
import requests
import matplotlib
matplotlib.use('Agg')
import matplotlib.dates
import matplotlib.pyplot
import datetime
from imgurpython import ImgurClient
import ConfigParser
def getSensorReadings(notify):
config = ConfigParser.ConfigParser()
config.read("config.... | 27.503311 | 179 | 0.675415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,039 | 0.250181 |
f7d2351d64f6c5df1c1015aaa80a18aa25236a08 | 239 | py | Python | safexl/__init__.py | ThePoetCoder/safexl | d2fb91ad45d33b6f51946e99c78e7fcf7564e82e | [
"MIT"
] | 6 | 2020-08-28T16:00:28.000Z | 2022-01-17T14:48:04.000Z | safexl/__init__.py | ThePoetCoder/safexl | d2fb91ad45d33b6f51946e99c78e7fcf7564e82e | [
"MIT"
] | null | null | null | safexl/__init__.py | ThePoetCoder/safexl | d2fb91ad45d33b6f51946e99c78e7fcf7564e82e | [
"MIT"
] | null | null | null | # Copyright (c) 2020 safexl
from safexl.toolkit import *
import safexl.xl_constants as xl_constants
import safexl.colors as colors
__author__ = "Eric Smith"
__email__ = "[email protected]"
__license__ = "MIT"
__version__ = "0.0.7"
| 19.916667 | 42 | 0.76569 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.313808 |
f7d2cd873463ee3cda95ca64c29e31dbdad2cad2 | 2,989 | py | Python | musicdb/restapi/migrations/0001_initial.py | alexebaker/django-music_database | cffa2574d894509b0eec7c71bd821cc0fd2f2cf7 | [
"MIT"
] | null | null | null | musicdb/restapi/migrations/0001_initial.py | alexebaker/django-music_database | cffa2574d894509b0eec7c71bd821cc0fd2f2cf7 | [
"MIT"
] | 7 | 2020-06-05T18:23:50.000Z | 2022-03-11T23:24:27.000Z | musicdb/restapi/migrations/0001_initial.py | alexebaker/django-music_database | cffa2574d894509b0eec7c71bd821cc0fd2f2cf7 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.4 on 2018-05-01 05:22
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Album',
fields=[
... | 38.320513 | 136 | 0.556708 | 2,863 | 0.957845 | 0 | 0 | 0 | 0 | 0 | 0 | 395 | 0.132151 |
f7d39269257b5bc266bf53edfc897cb41af5201f | 402 | py | Python | ballot_source/sources/migrations/0004_auto_20200824_1444.py | Ballot-Drop/ballot-source | 5dd9692ca5e9237a6073833a81771a17ad2c1dc9 | [
"MIT"
] | 3 | 2020-09-05T06:02:08.000Z | 2020-09-28T23:44:05.000Z | ballot_source/sources/migrations/0004_auto_20200824_1444.py | Ballot-Drop/ballot-source | 5dd9692ca5e9237a6073833a81771a17ad2c1dc9 | [
"MIT"
] | 18 | 2020-08-28T18:09:54.000Z | 2020-09-19T17:36:08.000Z | ballot_source/sources/migrations/0004_auto_20200824_1444.py | Ballot-Drop/ballot-source | 5dd9692ca5e9237a6073833a81771a17ad2c1dc9 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.9 on 2020-08-24 20:44
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('sources', '0003_sourcedetail_last_pull'),
]
operations = [
migrations.AlterField(
model_name='sourcedetail',
name='d... | 21.157895 | 58 | 0.606965 | 309 | 0.768657 | 0 | 0 | 0 | 0 | 0 | 0 | 105 | 0.261194 |
f7d411b7a1e10f51b58ab6692c180f5bbcd91a28 | 2,007 | py | Python | src/tests/Yi/tests/inner_product_between_lobatto_and_gauss.py | Idate96/Mimetic-Fem | 75ad3b982ef7ed7c6198f526d19dc460dec28f4d | [
"MIT"
] | null | null | null | src/tests/Yi/tests/inner_product_between_lobatto_and_gauss.py | Idate96/Mimetic-Fem | 75ad3b982ef7ed7c6198f526d19dc460dec28f4d | [
"MIT"
] | null | null | null | src/tests/Yi/tests/inner_product_between_lobatto_and_gauss.py | Idate96/Mimetic-Fem | 75ad3b982ef7ed7c6198f526d19dc460dec28f4d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
(SHORT NAME EXPLANATION)
>>>DOCTEST COMMANDS
(THE TEST ANSWER)
@author: Yi Zhang. Created on Mon Jul 10 20:12:27 2017
Department of Aerodynamics
Faculty of Aerospace Engineering
TU Delft
#SUMMARY----------------
#INPUTS-----------------
#ESSEN... | 22.3 | 78 | 0.619332 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 944 | 0.468486 |
f7d511ad2e6640e470287dff8220becb4fa1880a | 1,871 | py | Python | src/quality_control/bin/createSpotDetectionQCHTML.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | src/quality_control/bin/createSpotDetectionQCHTML.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | src/quality_control/bin/createSpotDetectionQCHTML.py | WoutDavid/ST-nextflow-pipeline | 8de3da218ec4f10f183e1163fe782c19fd8dd841 | [
"MIT"
] | null | null | null | import json
from bs4 import BeautifulSoup
import pandas as pd
import sys
# Argparsing
argument_index = 1
template = sys.argv[argument_index]
argument_index +=1
recall_json = sys.argv[argument_index]
argument_index +=1
recall_plot = sys.argv[argument_index]
argument_index +=1
precision_jsons_list = [sys.argv[i] for ... | 27.115942 | 82 | 0.772314 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 277 | 0.148049 |
f7d56596394f7bfd79f8b0a1466fae7aaa135fac | 2,104 | py | Python | test/torch/mpc/test_fss.py | NicoSerranoP/PySyft | 87fcd566c46fce4c16d363c94396dd26bd82a016 | [
"Apache-2.0"
] | 3 | 2020-11-24T05:15:57.000Z | 2020-12-07T09:52:45.000Z | test/torch/mpc/test_fss.py | NicoSerranoP/PySyft | 87fcd566c46fce4c16d363c94396dd26bd82a016 | [
"Apache-2.0"
] | 1 | 2020-09-29T00:24:31.000Z | 2020-09-29T00:24:31.000Z | test/torch/mpc/test_fss.py | NicoSerranoP/PySyft | 87fcd566c46fce4c16d363c94396dd26bd82a016 | [
"Apache-2.0"
] | 1 | 2021-09-04T16:27:41.000Z | 2021-09-04T16:27:41.000Z | import pytest
import torch as th
from syft.frameworks.torch.mpc.fss import DPF, DIF, n
@pytest.mark.parametrize("op", ["eq", "le"])
def test_fss_class(op):
class_ = {"eq": DPF, "le": DIF}[op]
th_op = {"eq": th.eq, "le": th.le}[op]
gather_op = {"eq": "__add__", "le": "__xor__"}[op]
# single value
... | 32.875 | 70 | 0.551331 | 0 | 0 | 0 | 0 | 2,013 | 0.956749 | 0 | 0 | 101 | 0.048004 |
f7d62d0a50f28ea90ec1747700a205b806ed75b7 | 2,684 | py | Python | allennlp/tests/data/tokenizers/pretrained_transformer_tokenizer_test.py | donna-legal/allennlp | fd1e3cfaed07ec3ba03b922d12eee47f8be16837 | [
"Apache-2.0"
] | 1 | 2020-01-28T07:52:28.000Z | 2020-01-28T07:52:28.000Z | allennlp/tests/data/tokenizers/pretrained_transformer_tokenizer_test.py | donna-legal/allennlp | fd1e3cfaed07ec3ba03b922d12eee47f8be16837 | [
"Apache-2.0"
] | null | null | null | allennlp/tests/data/tokenizers/pretrained_transformer_tokenizer_test.py | donna-legal/allennlp | fd1e3cfaed07ec3ba03b922d12eee47f8be16837 | [
"Apache-2.0"
] | null | null | null | from allennlp.common.testing import AllenNlpTestCase
from allennlp.data.tokenizers import PretrainedTransformerTokenizer
class TestPretrainedTransformerTokenizer(AllenNlpTestCase):
def test_splits_roberta(self):
tokenizer = PretrainedTransformerTokenizer("roberta-base")
sentence = "A, <mask> Alle... | 28.252632 | 99 | 0.462742 | 2,563 | 0.953852 | 0 | 0 | 0 | 0 | 0 | 0 | 594 | 0.221064 |
f7d6ae2f3cb3eec3b7e8a4d67b500afb529fc556 | 2,928 | py | Python | openmdao/api.py | ryanfarr01/blue | a9aac98c09cce0f7cadf26cf592e3d978bf4e3ff | [
"Apache-2.0"
] | null | null | null | openmdao/api.py | ryanfarr01/blue | a9aac98c09cce0f7cadf26cf592e3d978bf4e3ff | [
"Apache-2.0"
] | null | null | null | openmdao/api.py | ryanfarr01/blue | a9aac98c09cce0f7cadf26cf592e3d978bf4e3ff | [
"Apache-2.0"
] | null | null | null | """Key OpenMDAO classes can be imported from here."""
# Core
from openmdao.core.problem import Problem
from openmdao.core.group import Group
from openmdao.core.parallel_group import ParallelGroup
from openmdao.core.explicitcomponent import ExplicitComponent
from openmdao.core.implicitcomponent import ImplicitComponent... | 41.828571 | 85 | 0.873634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 193 | 0.065915 |
f7d8750cdaa9ce35d0790079eee8be949cbd02ee | 1,443 | py | Python | code-buddy.py | xl3ehindTim/Code-buddy | e04b7b4327a0b3ff2790d22aef93dca6fce021f4 | [
"MIT"
] | 8 | 2019-11-29T09:20:11.000Z | 2020-11-02T10:55:35.000Z | code-buddy.py | xl3ehindTim/Code-buddy | e04b7b4327a0b3ff2790d22aef93dca6fce021f4 | [
"MIT"
] | 2 | 2019-12-02T13:48:01.000Z | 2019-12-02T17:00:56.000Z | code-buddy.py | xl3ehindTim/Code-buddy | e04b7b4327a0b3ff2790d22aef93dca6fce021f4 | [
"MIT"
] | 3 | 2019-11-29T10:03:44.000Z | 2020-10-01T10:23:55.000Z | import os
from getArgs import getArgs
from modules import python, javascript, html, php, bootstrap, cca
# from folder import file
# code-buddy.py create (file type) (directory name)
# Checks for "create"
if getArgs(1) == "create":
# Checks for which file type
projectType = getArgs(2)
# Checks for file name
... | 33.55814 | 101 | 0.644491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 576 | 0.399168 |
f7d8d7b6d6bbc7f8a6c1802ec8a9bedc82cb072a | 5,799 | py | Python | compyle/tests/test_ext_module.py | manish364824/compyle | cc97dd0a0e7b12f904b3f1c0f20aa06a41779c61 | [
"BSD-3-Clause"
] | 1 | 2020-11-23T12:13:04.000Z | 2020-11-23T12:13:04.000Z | compyle/tests/test_ext_module.py | manish364824/compyle | cc97dd0a0e7b12f904b3f1c0f20aa06a41779c61 | [
"BSD-3-Clause"
] | null | null | null | compyle/tests/test_ext_module.py | manish364824/compyle | cc97dd0a0e7b12f904b3f1c0f20aa06a41779c61 | [
"BSD-3-Clause"
] | null | null | null | from contextlib import contextmanager
from distutils.sysconfig import get_config_var
from io import open as io_open
import os
from os.path import join, exists
import shutil
import sys
import tempfile
from textwrap import dedent
from multiprocessing import Pool
from unittest import TestCase, main
try:
from unittest... | 29.436548 | 76 | 0.607174 | 4,431 | 0.764097 | 218 | 0.037593 | 238 | 0.041042 | 0 | 0 | 1,166 | 0.201069 |
f7db3778ef11768f9b2aff72c3bc714173c0ef05 | 5,286 | py | Python | tma/collector/xhn.py | hebpmo/TMA | b07747d3112e822ff92dd2ba4589d2288adab154 | [
"MIT"
] | 2 | 2020-02-15T18:31:39.000Z | 2020-03-18T13:30:58.000Z | tma/collector/xhn.py | hebpmo/TMA | b07747d3112e822ff92dd2ba4589d2288adab154 | [
"MIT"
] | null | null | null | tma/collector/xhn.py | hebpmo/TMA | b07747d3112e822ff92dd2ba4589d2288adab154 | [
"MIT"
] | 1 | 2021-02-13T19:14:39.000Z | 2021-02-13T19:14:39.000Z | # -*- coding: UTF-8 -*-
"""
collector.xhn - 新华网数据采集
官网：http://www.xinhuanet.com/
接口分析：
1. 获取文章列表
http://qc.wa.news.cn/nodeart/list?nid=115093&pgnum=1&cnt=10000
新华全媒体头条
http://www.xinhuanet.com/politics/qmtt/index.htm
====================================================================
"""
import requests
import re... | 28.26738 | 81 | 0.531782 | 2,889 | 0.518299 | 0 | 0 | 256 | 0.045928 | 0 | 0 | 1,917 | 0.343918 |
f7dbb6eabf0492827bece2fbca9d7d345965609a | 995 | py | Python | tests/test_onetv.py | unlocKing/plugins | e5cee730c22a049cfd0e3873389c82e8ab5f7c41 | [
"BSD-2-Clause"
] | 2 | 2021-09-02T21:29:48.000Z | 2021-09-20T07:05:08.000Z | tests/test_onetv.py | unlocKing/plugins | e5cee730c22a049cfd0e3873389c82e8ab5f7c41 | [
"BSD-2-Clause"
] | null | null | null | tests/test_onetv.py | unlocKing/plugins | e5cee730c22a049cfd0e3873389c82e8ab5f7c41 | [
"BSD-2-Clause"
] | null | null | null | import unittest
from plugins.onetv import OneTV
class TestPluginPerviyKanal(unittest.TestCase):
def test_can_handle_url(self):
regex_test_list = [
"https://media.1tv.ru/embed/ctcmedia/ctc-che.html?start=auto",
"https://media.1tv.ru/embed/ctcmedia/ctc-dom.html?start=auto",
... | 36.851852 | 75 | 0.577889 | 943 | 0.947739 | 0 | 0 | 0 | 0 | 0 | 0 | 535 | 0.537688 |
f7dd193790b7ae7797daf8c7c2f3ca9a0623ed89 | 405 | py | Python | tests/test_plugins/pytester_example_dir/test_file_1.py | MORSECorp/snappiershot | acb6a8d01d4496abe0f2fe83c7e7af9cf77aac8e | [
"Apache-2.0"
] | 27 | 2020-10-15T18:36:25.000Z | 2022-03-02T19:11:44.000Z | tests/test_plugins/pytester_example_dir/test_file_1.py | MORSECorp/snappiershot | acb6a8d01d4496abe0f2fe83c7e7af9cf77aac8e | [
"Apache-2.0"
] | 33 | 2020-10-15T15:03:37.000Z | 2022-03-24T21:00:34.000Z | tests/test_plugins/pytester_example_dir/test_file_1.py | MORSECorp/snappiershot | acb6a8d01d4496abe0f2fe83c7e7af9cf77aac8e | [
"Apache-2.0"
] | 5 | 2020-10-15T16:30:00.000Z | 2022-03-30T15:07:28.000Z | """ This is a test file used for testing the pytest plugin. """
def test_function_passed(snapshot):
""" The snapshot for this function is expected to exist. """
snapshot.assert_match(3 + 4j)
def test_function_new(snapshot):
""" The snapshot for this function is expected to exist, but only one assertion ... | 31.153846 | 100 | 0.708642 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 219 | 0.540741 |
f7de06300594a810a1f4175db45d6b833ced1a94 | 7,940 | py | Python | src/compas/geometry/pointclouds/pointcloud.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | src/compas/geometry/pointclouds/pointcloud.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | src/compas/geometry/pointclouds/pointcloud.py | Sam-Bouten/compas | 011c7779ded9b69bb602568b470bb0443e336f62 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from random import uniform
from compas.geometry import transform_points
from compas.geometry import centroid_points
from compas.geometry import bounding_box
from compas.geometry import Primitive
from compas.geo... | 27.957746 | 114 | 0.500756 | 7,571 | 0.953526 | 0 | 0 | 4,378 | 0.551385 | 0 | 0 | 4,186 | 0.527204 |
f7de36b7d46515af7a1b6676baaac3b4ccaf3705 | 4,366 | py | Python | oa/regex.py | Worteks/OrangeAssassin | 21baf0b84fbedd887f6d88e13c624f14fb0b5e06 | [
"Apache-2.0"
] | null | null | null | oa/regex.py | Worteks/OrangeAssassin | 21baf0b84fbedd887f6d88e13c624f14fb0b5e06 | [
"Apache-2.0"
] | null | null | null | oa/regex.py | Worteks/OrangeAssassin | 21baf0b84fbedd887f6d88e13c624f14fb0b5e06 | [
"Apache-2.0"
] | null | null | null | """Handle regex conversions."""
from builtins import object
import re
import operator
from functools import reduce
import oa.errors
# Map of perl flags and the corresponding re ones.
FLAGS = {
"i": re.IGNORECASE,
"s": re.DOTALL,
"m": re.MULTILINE,
"x": re.VERBOSE,
}
DELIMS = {
"/": "/",
"{"... | 28.535948 | 81 | 0.574668 | 1,723 | 0.39464 | 0 | 0 | 0 | 0 | 0 | 0 | 1,500 | 0.343564 |
f7dec0cd3c585519d06741f3516a5564ea368e83 | 1,749 | py | Python | test_data/barometer_kalman.py | theo-brown/ahrs | cd9c9e0bbf9db7fd67a297e1aafa8518bf17050d | [
"MIT"
] | 1 | 2022-01-19T14:20:05.000Z | 2022-01-19T14:20:05.000Z | test_data/barometer_kalman.py | theo-brown/ahrs | cd9c9e0bbf9db7fd67a297e1aafa8518bf17050d | [
"MIT"
] | null | null | null | test_data/barometer_kalman.py | theo-brown/ahrs | cd9c9e0bbf9db7fd67a297e1aafa8518bf17050d | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider
from kalman_filter import KalmanFilter
raw_data = np.loadtxt("barometer_data.txt")
# Truncate raw data (it's super long)
raw_data = raw_data[:raw_data.size//4]
raw_data_step = np.loadtxt("barometer_data_step.txt")
t1 = np.arange(0... | 31.232143 | 95 | 0.704974 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 94 | 0.053745 |
f7df479cf0eb03f9edb6d36fe5773b716ab0594f | 1,694 | py | Python | number-of-orders-in-the-backlog/number_of_orders_in_the_backlog.py | joaojunior/hackerrank | a5ee0449e791535930b8659dfb7dddcf9e1237de | [
"MIT"
] | null | null | null | number-of-orders-in-the-backlog/number_of_orders_in_the_backlog.py | joaojunior/hackerrank | a5ee0449e791535930b8659dfb7dddcf9e1237de | [
"MIT"
] | null | null | null | number-of-orders-in-the-backlog/number_of_orders_in_the_backlog.py | joaojunior/hackerrank | a5ee0449e791535930b8659dfb7dddcf9e1237de | [
"MIT"
] | 1 | 2019-06-19T00:51:02.000Z | 2019-06-19T00:51:02.000Z | import heapq
from typing import List
class Solution:
def get_number_of_backlog_orders(self, orders: List[List[int]]) -> int:
sell_backlog = []
buy_backlog = []
for price, amount, order_type in orders:
if order_type == 0:
while amount > 0:
if ... | 40.333333 | 78 | 0.432113 | 1,654 | 0.976387 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7df8183ed1dfeac2b83cb6b6b173f961a29bd8f | 2,585 | py | Python | scripts/plotresults.py | rafzi/DeepThings | d12e8e8ad9f9ebaa3b0d55f547c0b3c7f1baf636 | [
"MIT"
] | 1 | 2020-02-28T10:07:47.000Z | 2020-02-28T10:07:47.000Z | scripts/plotresults.py | rafzi/DeepThings | d12e8e8ad9f9ebaa3b0d55f547c0b3c7f1baf636 | [
"MIT"
] | null | null | null | scripts/plotresults.py | rafzi/DeepThings | d12e8e8ad9f9ebaa3b0d55f547c0b3c7f1baf636 | [
"MIT"
] | 2 | 2020-03-10T15:17:55.000Z | 2020-03-17T15:37:37.000Z | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# 1: YOLOv2, 2: AlexNet, 3: VGG-16, 4: GoogLeNet
model = 4
LINEPLOT = True
dfs = pd.read_excel("t.xlsx", sheet_name=None, header=None)
if model == 1:
ms = "YOLOv2"
elif model == 2:
ms = "AlexNet"
elif model == 3:
ms = "VGG-16"
elif model == ... | 26.927083 | 82 | 0.573308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 695 | 0.268859 |
f7e1dfd58619e2e27eaf63ac95f9bbd2215fc5c4 | 565 | py | Python | setup.py | oubiwann/myriad-worlds | bfbbab713e35c5700e37158a892c3a66a8c9f37a | [
"MIT"
] | 3 | 2015-01-29T05:24:32.000Z | 2021-05-10T01:47:36.000Z | setup.py | oubiwann/myriad-worlds | bfbbab713e35c5700e37158a892c3a66a8c9f37a | [
"MIT"
] | null | null | null | setup.py | oubiwann/myriad-worlds | bfbbab713e35c5700e37158a892c3a66a8c9f37a | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
from myriad import meta
from myriad.util import dist
setup(
name=meta.display_name,
version=meta.version,
description=meta.description,
long_description=meta.long_description,
author=meta.author,
author_email=meta.author_email,
url=meta.url,
... | 21.730769 | 51 | 0.709735 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0.093805 |
f7e2347893dbbd12b3c90e6ec6f949cb83aa2a4f | 1,110 | py | Python | val_resnet.py | AlexKhakhlyuk/fixedconv | bf3848c3fd60af2e617f2118064ee6f551b45d95 | [
"Apache-1.1"
] | 1 | 2020-05-05T07:20:25.000Z | 2020-05-05T07:20:25.000Z | val_resnet.py | khakhlyuk/fixedconv | bf3848c3fd60af2e617f2118064ee6f551b45d95 | [
"Apache-1.1"
] | null | null | null | val_resnet.py | khakhlyuk/fixedconv | bf3848c3fd60af2e617f2118064ee6f551b45d95 | [
"Apache-1.1"
] | null | null | null | from subprocess import run
# python -u val_resnet.py
cuda = 0 # which gpu to use
dataset = 'cifar10'
logs_path = 'logs_resnet' + '_' + dataset
manualSeed = 99
workers = 0
for model in ['resnet20', 'preact_resnet20']:
commands = [
'python', '-u', 'validate_resnet.py',
'--dataset=' + dataset,
... | 27.75 | 53 | 0.473874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 337 | 0.303604 |
f7e3584c6b4d27959b077f55eb4556611369a6be | 466 | py | Python | temboo/core/Library/KhanAcademy/Badges/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/KhanAcademy/Badges/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/KhanAcademy/Badges/__init__.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | from temboo.Library.KhanAcademy.Badges.AllCategories import AllCategories, AllCategoriesInputSet, AllCategoriesResultSet, AllCategoriesChoreographyExecution
from temboo.Library.KhanAcademy.Badges.BadgesByCategory import BadgesByCategory, BadgesByCategoryInputSet, BadgesByCategoryResultSet, BadgesByCategoryChoreographyE... | 116.5 | 171 | 0.909871 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f7e5ec76a74f735b8085dae26118d20f0eea400d | 453 | py | Python | akagi/data_sources/spreadsheet_data_source.py | pauchan/akagi | 7cf1f5a52b8f1ebfdc74a527bf6b26254f99343b | [
"MIT"
] | 26 | 2017-05-18T11:52:04.000Z | 2018-08-25T22:03:07.000Z | akagi/data_sources/spreadsheet_data_source.py | pauchan/akagi | 7cf1f5a52b8f1ebfdc74a527bf6b26254f99343b | [
"MIT"
] | 325 | 2017-05-08T07:22:28.000Z | 2022-03-31T15:43:18.000Z | akagi/data_sources/spreadsheet_data_source.py | pauchan/akagi | 7cf1f5a52b8f1ebfdc74a527bf6b26254f99343b | [
"MIT"
] | 7 | 2017-05-02T02:06:15.000Z | 2020-04-09T05:32:11.000Z | from akagi.data_source import DataSource
from akagi.data_file import DataFile
class SpreadsheetDataSource(DataSource):
'''SpreadsheetSource replesents a data on Google Spreadsheets
'''
def __init__(self, sheet_id, sheet_range='A:Z', no_cache=False):
self._sheet_id = sheet_id
self._sheet_r... | 28.3125 | 72 | 0.732892 | 372 | 0.821192 | 0 | 0 | 108 | 0.238411 | 0 | 0 | 74 | 0.163355 |
f7e673c1a03cc4b207464e8a0e2d7bce749cb8ba | 7,401 | py | Python | stanCode_projects/my_drawing/my_drawing.py | kenhuang1204/stanCode_projects | f697a34a1c54a864c1140cb0f2f76e2d70b45698 | [
"MIT"
] | null | null | null | stanCode_projects/my_drawing/my_drawing.py | kenhuang1204/stanCode_projects | f697a34a1c54a864c1140cb0f2f76e2d70b45698 | [
"MIT"
] | null | null | null | stanCode_projects/my_drawing/my_drawing.py | kenhuang1204/stanCode_projects | f697a34a1c54a864c1140cb0f2f76e2d70b45698 | [
"MIT"
] | null | null | null | """
File: my_drawing.py
Name: 黃科諺
----------------------
TODO:
"""
from campy.graphics.gobjects import GOval, GRect, GLine, GLabel, GPolygon, GArc
from campy.graphics.gwindow import GWindow
def main():
"""
Meet Snorlax (卡比獸) of stanCode! He dreams of Python when he sleeps. Be like Snorlax.
"""
window... | 28.910156 | 88 | 0.638427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 681 | 0.091866 |
f7e7736eb2b76396a07e8f09a10926efaa231ede | 748 | py | Python | kivy/core/clipboard/clipboard_xsel.py | CharaD7/kivy | 85065fe6633f5ac831c193dc84e3f636b789cc3a | [
"MIT"
] | 2 | 2021-05-16T09:46:14.000Z | 2021-11-17T11:23:15.000Z | kivy/core/clipboard/clipboard_xsel.py | CharaD7/kivy | 85065fe6633f5ac831c193dc84e3f636b789cc3a | [
"MIT"
] | 1 | 2016-11-11T13:45:42.000Z | 2016-11-11T13:45:42.000Z | kivy/core/clipboard/clipboard_xsel.py | CharaD7/kivy | 85065fe6633f5ac831c193dc84e3f636b789cc3a | [
"MIT"
] | 2 | 2017-03-09T14:27:03.000Z | 2019-05-03T08:36:02.000Z | '''
Clipboard xsel: an implementation of the Clipboard using xsel command line tool.
'''
__all__ = ('ClipboardXsel', )
from kivy.utils import platform
from kivy.core.clipboard._clipboard_ext import ClipboardExternalBase
if platform != 'linux':
raise SystemError('unsupported platform for xsel clipboard')
try:
... | 24.933333 | 80 | 0.67246 | 307 | 0.410428 | 0 | 0 | 259 | 0.346257 | 0 | 0 | 185 | 0.247326 |
f7ea40e807af6204059adeba1056db95e63b5bcf | 492 | py | Python | plugins/hashsum_download/girder_hashsum_download/settings.py | JKitok/girder | 317962d155fc9811d25e5f33bd3e849c4ac96645 | [
"Apache-2.0"
] | 395 | 2015-01-12T19:20:13.000Z | 2022-03-30T05:40:40.000Z | plugins/hashsum_download/girder_hashsum_download/settings.py | JKitok/girder | 317962d155fc9811d25e5f33bd3e849c4ac96645 | [
"Apache-2.0"
] | 2,388 | 2015-01-01T20:09:19.000Z | 2022-03-29T16:49:14.000Z | plugins/hashsum_download/girder_hashsum_download/settings.py | JKitok/girder | 317962d155fc9811d25e5f33bd3e849c4ac96645 | [
"Apache-2.0"
] | 177 | 2015-01-04T14:47:00.000Z | 2022-03-25T09:01:51.000Z | from girder.exceptions import ValidationException
from girder.utility import setting_utilities
class PluginSettings:
AUTO_COMPUTE = 'hashsum_download.auto_compute'
@setting_utilities.default(PluginSettings.AUTO_COMPUTE)
def _defaultAutoCompute():
return False
@setting_utilities.validator(PluginSettings.AU... | 27.333333 | 85 | 0.802846 | 72 | 0.146341 | 0 | 0 | 316 | 0.642276 | 0 | 0 | 88 | 0.178862 |
f7ea6e1ab40e2fa5eea55fc79f11b658b6c35f7e | 44,837 | py | Python | forager_server/forager_server_api/views.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | 1 | 2020-12-01T23:25:58.000Z | 2020-12-01T23:25:58.000Z | forager_server/forager_server_api/views.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | 2 | 2020-10-07T01:03:06.000Z | 2020-10-12T19:08:55.000Z | forager_server/forager_server_api/views.py | jeremyephron/forager | 6db1590686e0e34b2e42ff5deb70f62fcee73d7d | [
"MIT"
] | null | null | null | from collections import defaultdict, namedtuple
from dataclasses import dataclass
import distutils.util
import functools
import itertools
import json
import math
import operator
import os
import random
import uuid
import shutil
import logging
import time
from typing import List, Dict, NamedTuple, Optional
from django... | 31.072072 | 89 | 0.657872 | 108 | 0.002409 | 0 | 0 | 30,703 | 0.684769 | 0 | 0 | 7,257 | 0.161853 |
f7eab2118d85cfe10c666d128c82a3c415e87f34 | 2,632 | py | Python | ccmlib/cluster_factory.py | justinchuch/ccm | 808b6ca13526785b0fddfe1ead2383c060c4b8b6 | [
"Apache-2.0"
] | 626 | 2015-01-01T18:11:03.000Z | 2017-12-19T00:06:49.000Z | ccmlib/cluster_factory.py | justinchuch/ccm | 808b6ca13526785b0fddfe1ead2383c060c4b8b6 | [
"Apache-2.0"
] | 358 | 2015-01-21T17:06:45.000Z | 2017-12-20T16:03:01.000Z | ccmlib/cluster_factory.py | justinchuch/ccm | 808b6ca13526785b0fddfe1ead2383c060c4b8b6 | [
"Apache-2.0"
] | 172 | 2015-01-02T21:40:45.000Z | 2017-12-19T20:17:49.000Z |
from __future__ import absolute_import
import os
import yaml
from ccmlib import common, extension, repository
from ccmlib.cluster import Cluster
from ccmlib.dse_cluster import DseCluster
from ccmlib.node import Node
from distutils.version import LooseVersion #pylint: disable=import-error, no-name-in-module
class... | 39.878788 | 150 | 0.628799 | 2,316 | 0.879939 | 0 | 0 | 2,287 | 0.868921 | 0 | 0 | 428 | 0.162614 |
f7eb16ad3bcd19920bd13a45530065dd321f93c0 | 9,872 | py | Python | causalnex/structure/pytorch/dist_type/_base.py | Rishab26/causalnex | 127d9324a3d68c1795299c7522f22cdea880f344 | [
"Apache-2.0"
] | 1,523 | 2020-01-28T12:37:48.000Z | 2022-03-31T09:27:58.000Z | causalnex/structure/pytorch/dist_type/_base.py | Rishab26/causalnex | 127d9324a3d68c1795299c7522f22cdea880f344 | [
"Apache-2.0"
] | 124 | 2020-01-28T15:12:07.000Z | 2022-03-31T18:59:16.000Z | causalnex/structure/pytorch/dist_type/_base.py | Rishab26/causalnex | 127d9324a3d68c1795299c7522f22cdea880f344 | [
"Apache-2.0"
] | 169 | 2020-01-28T15:13:53.000Z | 2022-03-30T21:04:02.000Z | # Copyright 2019-2020 QuantumBlack Visual Analytics Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# THE SOFTWARE IS PROVIDED "AS IS"... | 31.742765 | 105 | 0.630976 | 8,103 | 0.820806 | 0 | 0 | 4,021 | 0.407314 | 0 | 0 | 6,801 | 0.688918 |
f7ec17b78bb1ba2ad0135e9a1b1bf5b7c8916ff3 | 4,225 | py | Python | src/cmdsh/utils.py | kotfu/cmdsh | c9083793de9117e4c5c4dfcccdeee1b83a0be7ab | [
"MIT"
] | null | null | null | src/cmdsh/utils.py | kotfu/cmdsh | c9083793de9117e4c5c4dfcccdeee1b83a0be7ab | [
"MIT"
] | null | null | null | src/cmdsh/utils.py | kotfu/cmdsh | c9083793de9117e4c5c4dfcccdeee1b83a0be7ab | [
"MIT"
] | null | null | null | #
# -*- coding: utf-8 -*-
#
# Copyright (c) 2019 Jared Crapo
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, mod... | 32.5 | 89 | 0.680947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,790 | 0.660355 |
f7ecb294c442659591e90f954f3dc3437349ef17 | 4,992 | py | Python | tensorflow/python/tpu/tpu_outside_compilation_test.py | Arushacked/tensorflow | 9abd61ae0b2d239d3060cdd3d46b54a105159828 | [
"Apache-2.0"
] | 78 | 2020-08-04T12:36:25.000Z | 2022-03-25T04:23:40.000Z | tensorflow/python/tpu/tpu_outside_compilation_test.py | Arushacked/tensorflow | 9abd61ae0b2d239d3060cdd3d46b54a105159828 | [
"Apache-2.0"
] | 2 | 2021-11-10T20:08:14.000Z | 2022-02-10T02:44:26.000Z | tensorflow/python/tpu/tpu_outside_compilation_test.py | Arushacked/tensorflow | 9abd61ae0b2d239d3060cdd3d46b54a105159828 | [
"Apache-2.0"
] | 25 | 2020-08-31T12:21:19.000Z | 2022-03-20T05:16:32.000Z | # Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 29.192982 | 80 | 0.698317 | 2,957 | 0.592348 | 0 | 0 | 1,120 | 0.224359 | 0 | 0 | 906 | 0.18149 |
f7eccedc6580e295788f95c53fa5d25556b9e059 | 1,338 | py | Python | Source/Oyooni/Text Recognition/server.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | Source/Oyooni/Text Recognition/server.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | Source/Oyooni/Text Recognition/server.py | Oyooni5245/Oyooni | a00b845ac97eaee74d40cab563b9532fdeca97c8 | [
"MIT"
] | null | null | null | from flask import Flask, request
from flask_restful import Resource, Api
from test import get_models, getTextFromImage
from testDocument import getText
from time import time
app = Flask(__name__)
api = Api(app)
net, refine_net = get_models()
class TextRecognizerService(Resource):
def post(self):
try:
... | 26.76 | 73 | 0.523916 | 951 | 0.710762 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.103886 |
f7ee1b4e15755381cc1c76d8d915f30011f727a3 | 17,132 | py | Python | varats/varats/plots/blame_interaction_graph_plots.py | Kaufi-Jonas/VaRA-Tool-Suite | 31563896ad7dd1c1a147202b0c5c9fffe772b803 | [
"BSD-2-Clause"
] | null | null | null | varats/varats/plots/blame_interaction_graph_plots.py | Kaufi-Jonas/VaRA-Tool-Suite | 31563896ad7dd1c1a147202b0c5c9fffe772b803 | [
"BSD-2-Clause"
] | null | null | null | varats/varats/plots/blame_interaction_graph_plots.py | Kaufi-Jonas/VaRA-Tool-Suite | 31563896ad7dd1c1a147202b0c5c9fffe772b803 | [
"BSD-2-Clause"
] | null | null | null | """Module for BlameInteractionGraph plots."""
import typing as tp
from datetime import datetime
from pathlib import Path
import click
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
import plotly.offline as offply
from matplotlib import style
from varats.data.reports.blame_interaction_graph... | 33.330739 | 80 | 0.627714 | 13,489 | 0.787357 | 0 | 0 | 0 | 0 | 0 | 0 | 2,651 | 0.15474 |
f7ef21c429f9bf83356bf40d0aaa0462acb403b0 | 2,632 | py | Python | Day 7/Day 7.py | Dullstar/Advent-Of-Code-2020 | 7d3a64906ced2ac98bcfe67a9f3294c8756dc493 | [
"MIT"
] | null | null | null | Day 7/Day 7.py | Dullstar/Advent-Of-Code-2020 | 7d3a64906ced2ac98bcfe67a9f3294c8756dc493 | [
"MIT"
] | null | null | null | Day 7/Day 7.py | Dullstar/Advent-Of-Code-2020 | 7d3a64906ced2ac98bcfe67a9f3294c8756dc493 | [
"MIT"
] | null | null | null | import re
class Rule:
def __init__(self, line):
line = line.strip().split(" contain ")
line[1] = line[1].strip(".").split(", ")
self.contents = {}
for item in line[1]:
# Grab that number out in front
regex = re.compile(r"[0-9]+")
# If we didn't f... | 33.74359 | 106 | 0.56383 | 1,808 | 0.68693 | 0 | 0 | 0 | 0 | 0 | 0 | 680 | 0.258359 |
f7efbdb4f4f2e1681183c05075e6b958502a3563 | 83,010 | py | Python | sdk/python/pulumi_aws_native/apigateway/outputs.py | AaronFriel/pulumi-aws-native | 5621690373ac44accdbd20b11bae3be1baf022d1 | [
"Apache-2.0"
] | 29 | 2021-09-30T19:32:07.000Z | 2022-03-22T21:06:08.000Z | sdk/python/pulumi_aws_native/apigateway/outputs.py | AaronFriel/pulumi-aws-native | 5621690373ac44accdbd20b11bae3be1baf022d1 | [
"Apache-2.0"
] | 232 | 2021-09-30T19:26:26.000Z | 2022-03-31T23:22:06.000Z | sdk/python/pulumi_aws_native/apigateway/outputs.py | AaronFriel/pulumi-aws-native | 5621690373ac44accdbd20b11bae3be1baf022d1 | [
"Apache-2.0"
] | 4 | 2021-11-10T19:42:01.000Z | 2022-02-05T10:15:49.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... | 42.85493 | 389 | 0.655427 | 81,224 | 0.978485 | 0 | 0 | 81,784 | 0.985231 | 0 | 0 | 39,551 | 0.476461 |
f7f110d1e3f278e009edf38f3492952620bab08d | 619 | py | Python | bin/training_data/redmagic_ds_training_data.py | mclaughlin6464/pearce | 746f2bf4bf45e904d66996e003043661a01423ba | [
"MIT"
] | null | null | null | bin/training_data/redmagic_ds_training_data.py | mclaughlin6464/pearce | 746f2bf4bf45e904d66996e003043661a01423ba | [
"MIT"
] | 16 | 2016-11-04T22:24:32.000Z | 2018-05-01T22:53:39.000Z | bin/training_data/redmagic_ds_training_data.py | mclaughlin6464/pearce | 746f2bf4bf45e904d66996e003043661a01423ba | [
"MIT"
] | 3 | 2016-10-04T08:07:52.000Z | 2019-05-03T23:50:01.000Z | #!/.conda/envs/hodemulator/bin/python
from pearce.emulator import make_training_data
from pearce.emulator import DEFAULT_PARAMS as ordered_params
ordered_params['f_c'] = (0.05, .5)
ordered_params['logMmin'] = (11.5, 13.0)#(13.0, 14.5)
ordered_params['sigma_logM'] = (0.05, 1.0)
ordered_params['logM1'] = (12.0, 15.0)
ord... | 38.6875 | 96 | 0.726979 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 239 | 0.386107 |
f7f1a1740efc36292fbb917d24b84a88544cbd25 | 40,478 | py | Python | src/legohdl/workspace.py | c-rus/legoHDL | d7d77c05514c8d6dc1070c4efe589f392307daac | [
"MIT"
] | 6 | 2021-12-16T05:40:37.000Z | 2022-02-07T15:04:39.000Z | src/legohdl/workspace.py | c-rus/legoHDL | d7d77c05514c8d6dc1070c4efe589f392307daac | [
"MIT"
] | 61 | 2021-09-28T03:05:13.000Z | 2022-01-16T00:03:14.000Z | src/legohdl/workspace.py | c-rus/legoHDL | d7d77c05514c8d6dc1070c4efe589f392307daac | [
"MIT"
] | 1 | 2021-12-16T07:03:18.000Z | 2021-12-16T07:03:18.000Z | # ------------------------------------------------------------------------------
# Project: legohdl
# Script: workspace.py
# Author: Chase Ruskin
# Description:
# The Workspace class. A Workspace object has a path and a list of available
# vendors. This is what the user keeps their work's scope within for a given
#... | 38.079022 | 186 | 0.531424 | 39,809 | 0.983473 | 0 | 0 | 6,101 | 0.150724 | 0 | 0 | 16,914 | 0.417857 |
f7f1c343e2c46298649ddf9fe556e96b2bec9514 | 3,871 | py | Python | ev_de.py | avinashmnit30/Electric-Vehicle-Optimal-Charging | 7f09bdbb9904285ddbbfeaa28cf402f7ef6f4cb4 | [
"BSD-3-Clause"
] | 7 | 2018-03-09T11:19:39.000Z | 2022-01-19T13:45:20.000Z | ev_de.py | avinashmnit30/Electric-Vehicle-Optimal-Charging | 7f09bdbb9904285ddbbfeaa28cf402f7ef6f4cb4 | [
"BSD-3-Clause"
] | null | null | null | ev_de.py | avinashmnit30/Electric-Vehicle-Optimal-Charging | 7f09bdbb9904285ddbbfeaa28cf402f7ef6f4cb4 | [
"BSD-3-Clause"
] | 1 | 2022-03-03T12:08:52.000Z | 2022-03-03T12:08:52.000Z | # -*- coding: utf-8 -*-
"""
Created on Wed Dec 16 18:01:24 2015
@author: Avinash
"""
import numpy as np
from numpy import *
import numpy
from math import *
import ev_charge_schedule_modification1 as ev
#import ev_charge_schedule.static as func1
#import ev_charge_schedule.dynamic as func2
import tim... | 29.105263 | 112 | 0.482046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,034 | 0.267114 |
f7f1da41a1909260bbd83fee7efec53538a5f960 | 775 | py | Python | var/spack/repos/builtin/packages/memaxes/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 9 | 2018-04-18T07:51:40.000Z | 2021-09-10T03:56:57.000Z | var/spack/repos/builtin/packages/memaxes/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 907 | 2018-04-18T11:17:57.000Z | 2022-03-31T13:20:25.000Z | var/spack/repos/builtin/packages/memaxes/package.py | xiki-tempula/spack | 9d66c05e93ab8a933fc59915040c0e0c86a4aac4 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 29 | 2018-11-05T16:14:23.000Z | 2022-02-03T16:07:09.000Z | # Copyright 2013-2020 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Memaxes(Package):
"""MemAxes is a visualizer for sampled memory trace data."""
homepa... | 31 | 93 | 0.672258 | 554 | 0.714839 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.59871 |
f7f61f99b14ff05744c7eb403d860339bcd27eae | 3,970 | py | Python | auth/decorators.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | null | null | null | auth/decorators.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | null | null | null | auth/decorators.py | dongboyan77/quay | 8018e5bd80f17e6d855b58b7d5f2792d92675905 | [
"Apache-2.0"
] | null | null | null | import logging
from functools import wraps
from flask import request, session
from prometheus_client import Counter
from auth.basic import validate_basic_auth
from auth.oauth import validate_bearer_auth
from auth.cookie import validate_session_cookie
from auth.signedgrant import validate_signed_grant
from util.http ... | 35.446429 | 101 | 0.668766 | 0 | 0 | 0 | 0 | 1,978 | 0.498237 | 0 | 0 | 1,295 | 0.326196 |
f7f6435a685ce7599500c328cd1e055481aa5830 | 5,353 | py | Python | ddpm_proteins/utils.py | lucidrains/ddpm-proteins | 88bfacbd3cbdc4e38585fab420106f56e890c5f7 | [
"MIT"
] | 61 | 2021-06-14T16:41:54.000Z | 2022-03-23T14:09:46.000Z | ddpm_proteins/utils.py | lucidrains/ddpm-proteins | 88bfacbd3cbdc4e38585fab420106f56e890c5f7 | [
"MIT"
] | null | null | null | ddpm_proteins/utils.py | lucidrains/ddpm-proteins | 88bfacbd3cbdc4e38585fab420106f56e890c5f7 | [
"MIT"
] | 5 | 2021-06-15T11:51:47.000Z | 2022-03-18T08:01:48.000Z | import os
from PIL import Image
import seaborn as sn
import matplotlib.pyplot as plt
import torch
import torch.nn.functional as F
from sidechainnet.utils.sequence import ProteinVocabulary
from einops import rearrange
# general functions
def exists(val):
return val is not None
def default(val, d):
return va... | 29.092391 | 134 | 0.655707 | 0 | 0 | 146 | 0.027274 | 1,105 | 0.206426 | 0 | 0 | 572 | 0.106856 |
f7f93aac7b9d793ef23c38a97b1f3ca8216eaa8d | 24,348 | py | Python | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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... | 53.986696 | 122 | 0.619065 | 21,081 | 0.865821 | 0 | 0 | 0 | 0 | 0 | 0 | 10,028 | 0.411861 |
f7f9d815fd74248ee87d991bd107aab15b47f8cc | 618 | py | Python | easy/867-transpose-matrix.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 2 | 2021-03-14T11:38:26.000Z | 2021-03-14T11:38:30.000Z | easy/867-transpose-matrix.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | null | null | null | easy/867-transpose-matrix.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 1 | 2022-01-17T19:33:23.000Z | 2022-01-17T19:33:23.000Z | '''
转置矩阵
给你一个二维整数数组 matrix， 返回 matrix 的 转置矩阵 。
矩阵的 转置 是指将矩阵的主对角线翻转，交换矩阵的行索引与列索引。
'''
from typing import List
'''
思路：简单问题，原矩阵大小为m*n，创建一个n*m大小的新矩阵，按照行列转化的方式将旧矩阵数据复制过去
'''
class Solution:
def transpose(self, matrix: List[List[int]]) -> List[List[int]]:
m = len(matrix)
n = len(matrix[0])
ne... | 20.6 | 68 | 0.548544 | 329 | 0.403186 | 0 | 0 | 0 | 0 | 0 | 0 | 343 | 0.420343 |
f7fa229686aa6986aa8b8f8a1dc2ccded74af095 | 5,940 | py | Python | adam_visual_perception/head_gaze_estimator.py | isi-vista/adam-visual-perception | 8ad6ed883b184b5407a1bf793617b226c78b3a13 | [
"MIT"
] | 1 | 2020-07-21T10:52:26.000Z | 2020-07-21T10:52:26.000Z | adam_visual_perception/head_gaze_estimator.py | isi-vista/adam-visual-perception | 8ad6ed883b184b5407a1bf793617b226c78b3a13 | [
"MIT"
] | null | null | null | adam_visual_perception/head_gaze_estimator.py | isi-vista/adam-visual-perception | 8ad6ed883b184b5407a1bf793617b226c78b3a13 | [
"MIT"
] | 2 | 2020-07-21T15:30:42.000Z | 2021-01-20T21:54:09.000Z | from adam_visual_perception import LandmarkDetector
from adam_visual_perception.utility import *
import numpy as np
import math
import cv2
import os
import sys
class HeadGazeEstimator:
""" A class for estimating gaze ray from facial landmarks """
def __init__(self, write_video=False):
# 3D model poin... | 35.783133 | 87 | 0.458754 | 5,777 | 0.972559 | 0 | 0 | 0 | 0 | 0 | 0 | 897 | 0.15101 |
f7fa5e91400000b4953ab8022408df2a80e3be82 | 3,388 | py | Python | pypoca/cogs/general.py | leandcesar/PyPoca | 416f690faad0b511ca9d04b012af35256ee95089 | [
"MIT"
] | 1 | 2021-11-22T04:22:08.000Z | 2021-11-22T04:22:08.000Z | pypoca/cogs/general.py | leandcesar/PyPoca | 416f690faad0b511ca9d04b012af35256ee95089 | [
"MIT"
] | null | null | null | pypoca/cogs/general.py | leandcesar/PyPoca | 416f690faad0b511ca9d04b012af35256ee95089 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import disnake
from disnake.ext import commands
from pypoca.config import COLOR, URLS
from pypoca.database import Server
from pypoca.ext import ALL, DEFAULT, Choice, Option
class General(commands.Cog):
def __init__(self, bot: commands.Bot):
self.bot = bot
@commands.slash_comm... | 47.055556 | 113 | 0.626328 | 3,117 | 0.920012 | 0 | 0 | 3,011 | 0.888725 | 2,845 | 0.839728 | 1,788 | 0.527745 |
f7fab2882ba44013b1ca7273273e6b041c1e46c3 | 1,301 | py | Python | costor_server/storage/api/views/authcheck.py | rphi/costor | 081de65778d404cf7a22c5524bf89a146fa8326b | [
"CNRI-Python"
] | 2 | 2019-12-31T16:49:36.000Z | 2021-02-17T09:47:41.000Z | costor_server/storage/api/views/authcheck.py | rphi/costor | 081de65778d404cf7a22c5524bf89a146fa8326b | [
"CNRI-Python"
] | null | null | null | costor_server/storage/api/views/authcheck.py | rphi/costor | 081de65778d404cf7a22c5524bf89a146fa8326b | [
"CNRI-Python"
] | null | null | null | from rest_framework.decorators import api_view, permission_classes
from rest_framework.parsers import MultiPartParser
from rest_framework.response import Response
from rest_framework import permissions
from rest_framework.exceptions import APIException
from rest_framework.decorators import parser_classes
from django.sh... | 30.97619 | 117 | 0.704074 | 0 | 0 | 0 | 0 | 911 | 0.700231 | 0 | 0 | 308 | 0.236741 |
f7facb852a3db388a7c69659114114ea83276164 | 12,295 | py | Python | tensorflow_probability/python/experimental/mcmc/sample_fold.py | rupei/probability | 4aa1ee652853a19c4e80d39216c3fa535ed3e589 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/experimental/mcmc/sample_fold.py | rupei/probability | 4aa1ee652853a19c4e80d39216c3fa535ed3e589 | [
"Apache-2.0"
] | null | null | null | tensorflow_probability/python/experimental/mcmc/sample_fold.py | rupei/probability | 4aa1ee652853a19c4e80d39216c3fa535ed3e589 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The TensorFlow Probability 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... | 43.140351 | 85 | 0.727938 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8,255 | 0.671411 |
f7facc8714f2358ff5e4f5bf725d3516243bec69 | 10,025 | py | Python | algos/custom_ppo2.py | Ottawa-Autonomous-Vehicle-Group/learning-to-drive-in-5-minutes | fb82bc77593605711289e03f95dcfb6d3ea9e6c3 | [
"MIT"
] | 1 | 2020-08-02T20:47:44.000Z | 2020-08-02T20:47:44.000Z | algos/custom_ppo2.py | vijpandaturtle/learning-to-drive-in-5-minutes | fb82bc77593605711289e03f95dcfb6d3ea9e6c3 | [
"MIT"
] | null | null | null | algos/custom_ppo2.py | vijpandaturtle/learning-to-drive-in-5-minutes | fb82bc77593605711289e03f95dcfb6d3ea9e6c3 | [
"MIT"
] | null | null | null | import time
from collections import deque
import gym
import numpy as np
from stable_baselines import logger, PPO2
from stable_baselines.a2c.utils import total_episode_reward_logger
from stable_baselines.common import explained_variance, TensorboardWriter
from stable_baselines.common.runners import AbstractEnvRunner
fr... | 52.213542 | 121 | 0.572569 | 9,617 | 0.959302 | 0 | 0 | 0 | 0 | 0 | 0 | 1,949 | 0.194414 |
f7fafc3eca2a0d5f684ce78dbf8d565f8e0da8a0 | 787 | py | Python | craw/modules/trail/trails/feeds/urlvir.py | xuluhang/DomainBlockList | e9e69138ffdba6a73741fe204306f1f0b66eff19 | [
"MIT"
] | 19 | 2019-11-25T09:02:15.000Z | 2021-07-24T12:05:28.000Z | craw/modules/trail/trails/feeds/urlvir.py | xuluhang/DomainBlockList | e9e69138ffdba6a73741fe204306f1f0b66eff19 | [
"MIT"
] | 1 | 2019-11-25T09:06:08.000Z | 2019-11-25T09:06:08.000Z | craw/modules/trail/trails/feeds/urlvir.py | xuluhang/DomainBlockList | e9e69138ffdba6a73741fe204306f1f0b66eff19 | [
"MIT"
] | 10 | 2019-11-26T02:42:02.000Z | 2021-08-28T07:16:08.000Z | #!/usr/bin/env python2
"""
Copyright (c) 2014-2019 Maltrail developers (https://github.com/stamparm/maltrail/)
See the file 'LICENSE' for copying permission
"""
from craw.modules.trail.plugins.util import wget_content
__url__ = "http://www.urlvir.com/export-hosts/"
__check__ = "Updated on"
__info__ = "malware"
__ref... | 23.848485 | 83 | 0.66709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 247 | 0.31385 |
f7fb1109bf89db5bf87c82699fc7b9493c2500d3 | 1,035 | py | Python | tests/continuous_integration.py | kfaRabi/online-judge-tools | 79de8d37e1aa78a7c4c82c6a666f1f1602caf545 | [
"MIT"
] | null | null | null | tests/continuous_integration.py | kfaRabi/online-judge-tools | 79de8d37e1aa78a7c4c82c6a666f1f1602caf545 | [
"MIT"
] | null | null | null | tests/continuous_integration.py | kfaRabi/online-judge-tools | 79de8d37e1aa78a7c4c82c6a666f1f1602caf545 | [
"MIT"
] | null | null | null | import os
import subprocess
import sys
import unittest
# TODO: these command should be written at once, at only .travis.yml or at only here
paths = ['oj', 'onlinejudge', 'setup.py', 'tests']
class ContinuousIntegrationTest(unittest.TestCase):
"""A dummy test to run the commands same to CI on local environments"... | 39.807692 | 127 | 0.68599 | 839 | 0.810628 | 0 | 0 | 694 | 0.670531 | 0 | 0 | 426 | 0.411594 |
f7fbd980831ccec066261d37e528035e5f2d7c7a | 12,278 | py | Python | open-hackathon-client/src/client/config_sample.py | overbest/open-hackathon | 62e085fbe603bcb00ca56d2b96cfc43bf44c710b | [
"MIT"
] | null | null | null | open-hackathon-client/src/client/config_sample.py | overbest/open-hackathon | 62e085fbe603bcb00ca56d2b96cfc43bf44c710b | [
"MIT"
] | null | null | null | open-hackathon-client/src/client/config_sample.py | overbest/open-hackathon | 62e085fbe603bcb00ca56d2b96cfc43bf44c710b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# -----------------------------------------------------------------------------------
# Copyright (c) Microsoft Open Technologies (Shanghai) Co. Ltd. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this softw... | 42.93007 | 174 | 0.476136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,557 | 0.534045 |
f7fbf451f7ab0b316753c8ad61a542b73cbff82d | 14,904 | py | Python | processing_provider/Rast_fillRasterwithPatches.py | geodourados/lftools | 4b9d703513bd3d49ac7952014575bf95492a2d90 | [
"MIT"
] | 1 | 2022-03-28T22:18:09.000Z | 2022-03-28T22:18:09.000Z | processing_provider/Rast_fillRasterwithPatches.py | geodourados/lftools | 4b9d703513bd3d49ac7952014575bf95492a2d90 | [
"MIT"
] | null | null | null | processing_provider/Rast_fillRasterwithPatches.py | geodourados/lftools | 4b9d703513bd3d49ac7952014575bf95492a2d90 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
fillRasterwithPatches.py
***************************************************************************
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU Gene... | 41.51532 | 135 | 0.541063 | 12,564 | 0.842091 | 0 | 0 | 0 | 0 | 0 | 0 | 3,151 | 0.211193 |
f7fc84f573aa97d3b828afe66e29e4f49f7bb79c | 1,393 | py | Python | quantlab/COCO/utils/inference.py | lukasc-ch/QuantLab | 7ddcc51ec1131a58269768cd898ce04e8b49beb6 | [
"Apache-2.0"
] | 6 | 2019-05-24T17:39:07.000Z | 2021-11-06T22:19:55.000Z | quantlab/COCO/utils/inference.py | lukasc-ch/QuantLab | 7ddcc51ec1131a58269768cd898ce04e8b49beb6 | [
"Apache-2.0"
] | null | null | null | quantlab/COCO/utils/inference.py | lukasc-ch/QuantLab | 7ddcc51ec1131a58269768cd898ce04e8b49beb6 | [
"Apache-2.0"
] | 4 | 2019-05-24T17:39:15.000Z | 2021-04-02T07:13:11.000Z | import matplotlib.patches as patches
import matplotlib.pyplot as plt
import numpy as np
def view_instance(img, gt_label, pr_label=None):
img = img.cpu()
# gt_label = gt_label.cpu()
# pr_label = pr_label.cpu()
# c, h, w = img.shape
# with open('/home/spmatteo/MSDocuments/QuantLab/COCO/coco.names', ... | 42.212121 | 128 | 0.580761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,109 | 0.796123 |
f7fcc0247bffa7d5ad90651380c319258f099e35 | 633 | py | Python | dockwidhistory.py | kimoamer/Clinic-Manager | 53184a4e8f369bf083109d065b2042fc7cf5bfbd | [
"MIT"
] | 3 | 2021-05-12T01:05:12.000Z | 2022-02-11T15:43:00.000Z | dockwidhistory.py | kimoamer/Clinic-Manager | 53184a4e8f369bf083109d065b2042fc7cf5bfbd | [
"MIT"
] | null | null | null | dockwidhistory.py | kimoamer/Clinic-Manager | 53184a4e8f369bf083109d065b2042fc7cf5bfbd | [
"MIT"
] | null | null | null | from PyQt5.QtWidgets import QDialog
from PyQt5.QtGui import QFont
from PyQt5.QtCore import Qt
from dockwina import Ui_Form as docka
class Dialog(QDialog, docka):
def __init__(self):
super(Dialog, self).__init__()
QDialog.__init__(self)
self.setupUi(self)
self.setWindowFlag... | 33.315789 | 51 | 0.665087 | 493 | 0.778831 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0.014218 |
f7fcf7559948b6752dd0ee377be44bd42c092522 | 351 | py | Python | forest_lite/server/lib/palette.py | uk-gov-mirror/MetOffice.forest-lite | 9406b53f7e6a9651eb675e0ac2e5945421b25557 | [
"BSD-3-Clause"
] | 6 | 2020-08-05T16:12:57.000Z | 2022-01-06T01:34:19.000Z | forest_lite/server/lib/palette.py | uk-gov-mirror/MetOffice.forest-lite | 9406b53f7e6a9651eb675e0ac2e5945421b25557 | [
"BSD-3-Clause"
] | 49 | 2020-08-14T13:58:32.000Z | 2021-06-29T11:42:32.000Z | forest_lite/server/lib/palette.py | uk-gov-mirror/MetOffice.forest-lite | 9406b53f7e6a9651eb675e0ac2e5945421b25557 | [
"BSD-3-Clause"
] | 2 | 2020-12-03T09:24:13.000Z | 2021-04-11T06:10:36.000Z | import bokeh.palettes
def all_palettes():
"""List of palette definitions"""
for name in bokeh.palettes.all_palettes:
for number in bokeh.palettes.all_palettes[name]:
yield {
"name": name,
"number": number,
"palette": bokeh.palettes.all_palett... | 27 | 68 | 0.566952 | 0 | 0 | 326 | 0.928775 | 0 | 0 | 0 | 0 | 56 | 0.159544 |
f7fdd8880ea99f126ba61a61e3b34ab49ba52b93 | 1,549 | py | Python | runtests.py | ombu/django-sortedm2m | 2691cf00174577bc667d5d8c1d42071604ee2095 | [
"BSD-3-Clause"
] | null | null | null | runtests.py | ombu/django-sortedm2m | 2691cf00174577bc667d5d8c1d42071604ee2095 | [
"BSD-3-Clause"
] | null | null | null | runtests.py | ombu/django-sortedm2m | 2691cf00174577bc667d5d8c1d42071604ee2095 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os, sys, warnings
parent = os.path.dirname(os.path.abspath(__file__))
sys.path.insert(0, parent)
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "test_project.settings")
import django
from django.core.management import exe... | 28.163636 | 88 | 0.654616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 443 | 0.285991 |