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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
688159bdf8610b835edab2ced8f2deeade5b818b | 498 | py | Python | accounts/models.py | asandeep/pseudo-electronics | 2ce9f03a43c917448bfc340f8011eaf4bac159da | [
"MIT"
] | null | null | null | accounts/models.py | asandeep/pseudo-electronics | 2ce9f03a43c917448bfc340f8011eaf4bac159da | [
"MIT"
] | null | null | null | accounts/models.py | asandeep/pseudo-electronics | 2ce9f03a43c917448bfc340f8011eaf4bac159da | [
"MIT"
] | null | null | null | from django.contrib.auth import models as auth_models
from django.db import models
from django.urls import reverse
class User(auth_models.AbstractUser):
"""Extends default model to add project specific fields."""
birth_date = models.DateField(help_text="Employee Date of birth.")
address = models.TextFiel... | 33.2 | 72 | 0.740964 | 380 | 0.763052 | 0 | 0 | 0 | 0 | 0 | 0 | 165 | 0.331325 |
688316b56cd53635e3fbd2f9611352d74bf1174a | 3,623 | py | Python | pytorch_trainmodel/pytorch_train.py | hoangcaobao/projectube-nlp | b0471b1626b241082eac3b7a30cacf54b9668375 | [
"MIT"
] | 5 | 2021-09-16T15:05:20.000Z | 2022-02-04T00:39:12.000Z | pytorch_trainmodel/pytorch_train.py | hoangcaobao/projectube-sentiment-analysis | b0471b1626b241082eac3b7a30cacf54b9668375 | [
"MIT"
] | null | null | null | pytorch_trainmodel/pytorch_train.py | hoangcaobao/projectube-sentiment-analysis | b0471b1626b241082eac3b7a30cacf54b9668375 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import torch
import torch.nn as nn
from pytorch_model import *
from pytorch_clean import *
from sklearn.metrics import classification_report
from torch.optim import optimizer
from transformers import AutoModel, AutoTokenizer
from vncorenlp import VnCoreNLP
from vncorenlp.vncorenlp... | 29.696721 | 100 | 0.743031 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 400 | 0.110406 |
68855b61bab7f85695a5b52312067872e87f33fd | 295 | py | Python | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | 1 | 2020-04-24T06:09:44.000Z | 2020-04-24T06:09:44.000Z | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | null | null | null | tests/basics/builtin_sorted.py | 84KaliPleXon3/micropython-esp32 | a64dc82742749cf4a4bbe5688dde05122fb38f56 | [
"MIT"
] | null | null | null | # test builtin sorted
try:
sorted
set
except:
import sys
print("SKIP")
sys.exit()
print(sorted(set(range(100))))
print(sorted(set(range(100)), key=lambda x: x + 100*(x % 2)))
# need to use keyword argument
try:
sorted([], None)
except TypeError:
print("TypeError")
| 16.388889 | 61 | 0.630508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 0.230508 |
6885709e154f6ae3d0952842e393c4c290d87e3b | 643 | py | Python | addons/mendeley/tests/test_serializer.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 628 | 2015-01-15T04:33:22.000Z | 2022-03-30T06:40:10.000Z | addons/mendeley/tests/test_serializer.py | gaybro8777/osf.io | 30408511510a40bc393565817b343ef5fd76ab14 | [
"Apache-2.0"
] | 4,712 | 2015-01-02T01:41:53.000Z | 2022-03-30T14:18:40.000Z | addons/mendeley/tests/test_serializer.py | Johnetordoff/osf.io | de10bf249c46cede04c78f7e6f7e352c69e6e6b5 | [
"Apache-2.0"
] | 371 | 2015-01-12T16:14:08.000Z | 2022-03-31T18:58:29.000Z | # -*- coding: utf-8 -*-
"""Serializer tests for the Mendeley addon."""
import pytest
from addons.base.tests.serializers import CitationAddonSerializerTestSuiteMixin
from addons.base.tests.utils import MockFolder
from addons.mendeley.tests.factories import MendeleyAccountFactory
from addons.mendeley.serializer import M... | 30.619048 | 81 | 0.819596 | 231 | 0.359253 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0.122862 |
688600d6cad34394de4e5a48da1144fe75003447 | 465 | py | Python | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | src/project/_tests/base.py | pviojo/boilerplate-flask-api | 4e3832cc1a6979019311e01f60227ace0f2c3259 | [
"MIT"
] | null | null | null | from app import run_migration
from flask import current_app as app
from flask_testing import TestCase
from project import db
class BaseTestCase(TestCase):
def create_app(self):
app.config.from_object('project.configs.TestingConfig')
return app
def setUp(self):
run_migration()
def... | 22.142857 | 63 | 0.692473 | 337 | 0.724731 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0.066667 |
688701927338303df5deb153d6634d0b60ce9445 | 956 | py | Python | models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 8daac40289b591b88aa0658c531df15c92792d23 | [
"CC0-1.0"
] | null | null | null | models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 8daac40289b591b88aa0658c531df15c92792d23 | [
"CC0-1.0"
] | null | null | null | models/three_layers_nn.py | erwanlecarpentier/optimistic-regressor | 8daac40289b591b88aa0658c531df15c92792d23 | [
"CC0-1.0"
] | null | null | null | """
N layers optimistic neural network
"""
import torch
class ThreeLayersNN(torch.nn.Module):
def __init__(self, in_dim, out_dim, h_dim, activation='relu'):
"""
:param in_dim: (int) input dimension
:param out_dim: (int) output dimension
"""
super(ThreeLayersNN, self).__in... | 28.969697 | 66 | 0.585774 | 896 | 0.937238 | 0 | 0 | 0 | 0 | 0 | 0 | 189 | 0.197699 |
68880d2a92cdd46241a4f5ad354ad532bcf2dac3 | 630 | py | Python | helper/trap.py | shivaroast/AidenBot | 6b6463d48baec55d5df707d31d0fd6f7ed77a345 | [
"MIT"
] | null | null | null | helper/trap.py | shivaroast/AidenBot | 6b6463d48baec55d5df707d31d0fd6f7ed77a345 | [
"MIT"
] | null | null | null | helper/trap.py | shivaroast/AidenBot | 6b6463d48baec55d5df707d31d0fd6f7ed77a345 | [
"MIT"
] | null | null | null | '''
?
(c) 2018 - laymonage
'''
import os
import random
import requests
from .dropson import dbx_dl, get_json
def surprise(safe=False):
'''
?
'''
cat_api = 'http://thecatapi.com/api/images/get'
prev_url = requests.get(cat_api)
prev_url = prev_url.url.replace('http://', 'https://')
if safe... | 21.724138 | 63 | 0.633333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 143 | 0.226984 |
68881d8d1f87bdfd089d83ddb17e5dd84d4f78de | 11,019 | py | Python | defaulter.py | tipabu/swift_defaulter | fd72f5652fd7ab766dcef73c41fcbfa9a6e0e368 | [
"Apache-2.0"
] | 4 | 2015-08-12T19:47:05.000Z | 2017-08-25T06:04:27.000Z | defaulter.py | tipabu/swift_defaulter | fd72f5652fd7ab766dcef73c41fcbfa9a6e0e368 | [
"Apache-2.0"
] | null | null | null | defaulter.py | tipabu/swift_defaulter | fd72f5652fd7ab766dcef73c41fcbfa9a6e0e368 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015-2016 Tim Burke
#
# 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 writin... | 36.486755 | 79 | 0.63808 | 6,141 | 0.55731 | 0 | 0 | 816 | 0.074054 | 0 | 0 | 5,041 | 0.457483 |
688966ef062d193a314e93a1d3dc28aa32628e39 | 42,873 | py | Python | src/sage/coding/information_set_decoder.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | 1,742 | 2015-01-04T07:06:13.000Z | 2022-03-30T11:32:52.000Z | src/sage/coding/information_set_decoder.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | 66 | 2015-03-19T19:17:24.000Z | 2022-03-16T11:59:30.000Z | src/sage/coding/information_set_decoder.py | UCD4IDS/sage | 43474c96d533fd396fe29fe0782d44dc7f5164f7 | [
"BSL-1.0"
] | 495 | 2015-01-10T10:23:18.000Z | 2022-03-24T22:06:11.000Z | # -*- coding: utf-8 -*-
r"""
Information-set decoding for linear codes
Information-set decoding is a probabilistic decoding strategy that
essentially tries to guess `k` correct positions in the received word,
where `k` is the dimension of the code. A codeword agreeing with the
received word on the guessed position can... | 42.197835 | 211 | 0.606746 | 40,084 | 0.934947 | 0 | 0 | 972 | 0.022672 | 0 | 0 | 33,746 | 0.787115 |
6889889d0c9df269b34f5ffdec65275a1517a339 | 3,380 | py | Python | satelitedl/__init__.py | RyosukeDTomita/satelite-dl | f205adb9f97b67b8375147f6c9320a6742e032b0 | [
"MIT"
] | null | null | null | satelitedl/__init__.py | RyosukeDTomita/satelite-dl | f205adb9f97b67b8375147f6c9320a6742e032b0 | [
"MIT"
] | null | null | null | satelitedl/__init__.py | RyosukeDTomita/satelite-dl | f205adb9f97b67b8375147f6c9320a6742e032b0 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Usage: python3 -m satelitedl --date 19900101
Authore: Ryosuke Tomita
Date: 2021/11/02
"""
import os
from os.path import abspath, dirname, join
from datetime import datetime
from typing import Union
from .options import parse_args
from .scrapeimg import ScrapingImg
def judge_date_type(date: str) ->... | 25.413534 | 68 | 0.601479 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 922 | 0.272781 |
688d68c26f6147245edb5881ed9bf81be6cc0b77 | 602 | py | Python | ostrawling/event/particle.py | JacobRawling/OstrawlingMC | d87c12c8502a12c150ece0eac0fbe2c829062f6e | [
"MIT"
] | null | null | null | ostrawling/event/particle.py | JacobRawling/OstrawlingMC | d87c12c8502a12c150ece0eac0fbe2c829062f6e | [
"MIT"
] | null | null | null | ostrawling/event/particle.py | JacobRawling/OstrawlingMC | d87c12c8502a12c150ece0eac0fbe2c829062f6e | [
"MIT"
] | null | null | null | from .four_momentum import FourMomentum
class Particle:
def __init__(self, pdg_id, momentum):
self.pdg_id = pdg_id
self.momentum = momentum
self.momentum.set_basis(
(momentum.px,momentum.py, momentum.pz,
Particle.get_mass(pdg_id)),
'x,y,z,m'
... | 24.08 | 54 | 0.528239 | 560 | 0.930233 | 0 | 0 | 210 | 0.348837 | 0 | 0 | 28 | 0.046512 |
688e64a4f428342bad4484cacd07ec145d18e8f0 | 2,572 | py | Python | src/icolos/core/workflow_steps/gromacs/genion.py | jharrymoore/Icolos | c60cc00c34208ab7011d41d52a74651763673e7a | [
"Apache-2.0"
] | null | null | null | src/icolos/core/workflow_steps/gromacs/genion.py | jharrymoore/Icolos | c60cc00c34208ab7011d41d52a74651763673e7a | [
"Apache-2.0"
] | null | null | null | src/icolos/core/workflow_steps/gromacs/genion.py | jharrymoore/Icolos | c60cc00c34208ab7011d41d52a74651763673e7a | [
"Apache-2.0"
] | null | null | null | from icolos.utils.enums.step_enums import StepBaseEnum, StepGromacsEnum
from icolos.utils.enums.program_parameters import GromacsEnum
from icolos.core.workflow_steps.gromacs.base import StepGromacsBase
from icolos.utils.execute_external.gromacs import GromacsExecutor
from pydantic import BaseModel
from icolos.core.work... | 36.742857 | 88 | 0.641524 | 2,146 | 0.83437 | 0 | 0 | 0 | 0 | 0 | 0 | 391 | 0.152022 |
688e6a6789ccea72d0b875d4cb59a3a4a8aed53b | 6,811 | py | Python | mayo/session/train.py | deep-fry/mayo | 7211a11fdb9bb0a036d496a3eba16c96db122f89 | [
"MIT"
] | 110 | 2018-06-07T17:52:29.000Z | 2022-03-28T08:04:02.000Z | mayo/session/train.py | kypomon/mayo | 7211a11fdb9bb0a036d496a3eba16c96db122f89 | [
"MIT"
] | 6 | 2019-10-17T12:00:29.000Z | 2021-10-21T13:41:22.000Z | mayo/session/train.py | kypomon/mayo | 7211a11fdb9bb0a036d496a3eba16c96db122f89 | [
"MIT"
] | 22 | 2018-07-05T01:30:49.000Z | 2021-10-19T06:15:40.000Z | import math
import tensorflow as tf
from mayo.log import log
from mayo.util import (
Percent, memoize_method, memoize_property, object_from_params)
from mayo.session.base import SessionBase
class Train(SessionBase):
mode = 'train'
def __init__(self, config):
super().__init__(config)
sel... | 38.698864 | 79 | 0.616356 | 6,613 | 0.970787 | 0 | 0 | 3,055 | 0.448473 | 0 | 0 | 1,129 | 0.165737 |
688f82d913086422926e43ef0486a06096928207 | 570 | py | Python | lazysignup/utils.py | yoccodog/django-lazysignup | 18d273b97083c8e2a21e54bf326f41c0b4e231fb | [
"BSD-3-Clause"
] | null | null | null | lazysignup/utils.py | yoccodog/django-lazysignup | 18d273b97083c8e2a21e54bf326f41c0b4e231fb | [
"BSD-3-Clause"
] | null | null | null | lazysignup/utils.py | yoccodog/django-lazysignup | 18d273b97083c8e2a21e54bf326f41c0b4e231fb | [
"BSD-3-Clause"
] | 1 | 2018-06-22T13:07:34.000Z | 2018-06-22T13:07:34.000Z | def is_lazy_user(user):
""" Return True if the passed user is a lazy user. """
# Anonymous users are not lazy.
if user.is_anonymous:
return False
# Check the user backend. If the lazy signup backend
# authenticated them, then the user is lazy.
backend = getattr(user, 'backend', None)
... | 33.529412 | 63 | 0.685965 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 288 | 0.505263 |
688fe87882b842c1041f5df8b971fea0174982fb | 2,753 | py | Python | md/obs-tntq_md2md.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 6 | 2015-07-27T21:50:39.000Z | 2020-06-25T14:32:35.000Z | md/obs-tntq_md2md.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 89 | 2015-06-24T09:35:40.000Z | 2022-02-13T14:40:31.000Z | md/obs-tntq_md2md.py | unfoldingWord-dev/tools | 7251d64b4750f1615125dab3c09d6d00a9c284b4 | [
"MIT"
] | 12 | 2015-07-13T17:31:04.000Z | 2021-08-06T06:50:21.000Z | # -*- coding: utf-8 -*-
# This script copies a directory of OBS-tQ or OBS-tN markdown files to a second location.
# It cleans up the files in these ways:
# Ensures blank lines surrounding markdown headers.
# Fixes links of this form [[:en:...]]
# Removes leading spaces.
# Global variables
source_dir = r'C:\DC... | 34.848101 | 90 | 0.658918 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 967 | 0.351253 |
688feb8d7e8fef2bae057b526cc5ad3bba5366d4 | 2,620 | py | Python | hw10_conine/thomas.py | gconine88/MATH_6204 | ecff4ecd3ae423c113d8259fe24b76b4a67de6ea | [
"MIT"
] | null | null | null | hw10_conine/thomas.py | gconine88/MATH_6204 | ecff4ecd3ae423c113d8259fe24b76b4a67de6ea | [
"MIT"
] | null | null | null | hw10_conine/thomas.py | gconine88/MATH_6204 | ecff4ecd3ae423c113d8259fe24b76b4a67de6ea | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Nov 20 23:06:49 2017
@author: Grant
An implementation of the Thomas algorithm in Python, using just-in-time
compiling from numba for additional speed
"""
import numpy as np
from numba import njit, f8
def solve(A, d):
'''Helper function for Thomas algorit... | 30.465116 | 82 | 0.591603 | 0 | 0 | 0 | 0 | 1,249 | 0.476718 | 0 | 0 | 1,634 | 0.623664 |
68907c9f56a7dff7255659e5fac49a90b9c790a1 | 1,444 | py | Python | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | 1 | 2020-10-05T18:02:24.000Z | 2020-10-05T18:02:24.000Z | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator_django | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | 207 | 2020-01-30T19:17:44.000Z | 2021-02-24T19:45:29.000Z | chemreg/auth/tests/test_views.py | Chemical-Curation/chemcurator_django | bcd7fab84e407f06502e6873c38820724d4e54e7 | [
"MIT"
] | null | null | null | from base64 import b64encode
import pytest
@pytest.mark.django_db
def test_login_view(user, client, settings):
"""Test that the login view can login and logout."""
login_url = f"/{settings.LOGIN_URL.strip('/')}/"
# Django doesn't store the raw password, so we need to set one we know.
password = "A ... | 32.088889 | 75 | 0.702216 | 0 | 0 | 0 | 0 | 1,397 | 0.967452 | 0 | 0 | 403 | 0.279086 |
68914268f5d91c6c327ee9480e17e743af2a3790 | 9,445 | py | Python | vnpy/app/cta_strategy/strategies/tsmyo_polyfit_strategy.py | TheSuperMyo/vnpy | e38b7f4de879f1756aa664d5dfe7e0bec65c9a1b | [
"MIT"
] | null | null | null | vnpy/app/cta_strategy/strategies/tsmyo_polyfit_strategy.py | TheSuperMyo/vnpy | e38b7f4de879f1756aa664d5dfe7e0bec65c9a1b | [
"MIT"
] | null | null | null | vnpy/app/cta_strategy/strategies/tsmyo_polyfit_strategy.py | TheSuperMyo/vnpy | e38b7f4de879f1756aa664d5dfe7e0bec65c9a1b | [
"MIT"
] | null | null | null | from datetime import time
from vnpy.app.cta_strategy import (
CtaTemplate,
StopOrder,
TickData,
BarData,
TradeData,
OrderData,
BarGenerator,
ArrayManager
)
from vnpy.app.cta_strategy.base import (
EngineType,
STOPORDER_PREFIX,
StopOrder,
StopOrderStatus,
)
from vnpy.app.c... | 32.457045 | 138 | 0.565061 | 9,901 | 0.962664 | 0 | 0 | 0 | 0 | 0 | 0 | 2,278 | 0.221488 |
689273e3976328d8791057987bb0cd4e006aacad | 4,757 | py | Python | run.py | GpNico/KernelMethods_MVA_Kaggle | c6c083301977ca765557680f1e724a5d0322ef13 | [
"MIT"
] | null | null | null | run.py | GpNico/KernelMethods_MVA_Kaggle | c6c083301977ca765557680f1e724a5d0322ef13 | [
"MIT"
] | null | null | null | run.py | GpNico/KernelMethods_MVA_Kaggle | c6c083301977ca765557680f1e724a5d0322ef13 | [
"MIT"
] | null | null | null | # run.py
"""
Script for running a specific pipeline from a given yaml config file
"""
import os
import argparse
import yaml
from importlib import import_module
import numpy as np
import time
import pandas as pd
def import_from_path(path_to_module, obj_name = None):
"""
Import an object from a module based o... | 35.766917 | 101 | 0.596384 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,286 | 0.270338 |
689285cf22e54c3ba6df2bb206502e17fb240035 | 1,970 | py | Python | alien_invasion.py | shtiyu/biubiubiu | ebb41a14d4fd14cfc2a27a01af755713e084c4b3 | [
"MIT"
] | 3 | 2018-11-22T11:31:47.000Z | 2022-02-22T06:29:59.000Z | alien_invasion.py | shtiyu/biubiubiu | ebb41a14d4fd14cfc2a27a01af755713e084c4b3 | [
"MIT"
] | null | null | null | alien_invasion.py | shtiyu/biubiubiu | ebb41a14d4fd14cfc2a27a01af755713e084c4b3 | [
"MIT"
] | null | null | null | import pygame
from pygame.sprite import Group
from button import Button
from game_stats import GameStats
from settings import Settings
from ship import Ship
from scoreboard import Scoreboard
import game_funcitons as gf
def run_game():
pygame.init()
pygame.mixer.init()
ai_settings = Settings()
screen =... | 28.970588 | 128 | 0.664975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 0.059086 |
6892e2003fc1c2b7ef39326cbcdfaa61a234e1ef | 185 | py | Python | insights_messaging/downloaders/localfs.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 6 | 2019-12-12T14:19:30.000Z | 2020-04-08T16:20:04.000Z | insights_messaging/downloaders/localfs.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 14 | 2020-01-27T17:04:39.000Z | 2021-03-16T15:18:30.000Z | insights_messaging/downloaders/localfs.py | dpensi/insights-core-messaging | a964cecdf5cbb57407dae9e9208a31fc5e9318e4 | [
"Apache-2.0"
] | 13 | 2019-12-16T09:32:38.000Z | 2021-05-05T12:39:38.000Z | import os
from contextlib import contextmanager
class LocalFS:
@contextmanager
def get(self, src):
path = os.path.realpath(os.path.expanduser(src))
yield path
| 18.5 | 56 | 0.686486 | 134 | 0.724324 | 95 | 0.513514 | 115 | 0.621622 | 0 | 0 | 0 | 0 |
68943b195cd6c1b43741489cbceaa66e3ae51918 | 3,542 | py | Python | tests/test_utilities/test_manifest_parser.py | QualiSystems/DevBox | 9a1807006bc93727970068d586764e9dccda94ec | [
"Apache-1.1"
] | null | null | null | tests/test_utilities/test_manifest_parser.py | QualiSystems/DevBox | 9a1807006bc93727970068d586764e9dccda94ec | [
"Apache-1.1"
] | null | null | null | tests/test_utilities/test_manifest_parser.py | QualiSystems/DevBox | 9a1807006bc93727970068d586764e9dccda94ec | [
"Apache-1.1"
] | null | null | null | import os
from pyfakefs import fake_filesystem_unittest
from devbox.utilities.manifest_parser import ManifestParser
class TestManifestParser(fake_filesystem_unittest.TestCase):
def setUp(self):
self.setUpPyfakefs()
def test_manifest_parser(self):
# Arrange
self.fs.CreateFile('my-app/... | 30.016949 | 100 | 0.593732 | 3,420 | 0.965556 | 0 | 0 | 0 | 0 | 0 | 0 | 2,505 | 0.707228 |
68960b586f20c8d621871e22f1d973112cd25522 | 2,140 | py | Python | messages.py | Pyprohly/batch-bot | 0163fa75d4b6b2408a7504429d1b8662b13dded9 | [
"MIT"
] | null | null | null | messages.py | Pyprohly/batch-bot | 0163fa75d4b6b2408a7504429d1b8662b13dded9 | [
"MIT"
] | null | null | null | messages.py | Pyprohly/batch-bot | 0163fa75d4b6b2408a7504429d1b8662b13dded9 | [
"MIT"
] | null | null | null |
from enum import Enum, auto
from string import Template
class MessageRegister:
def __init__(self, dispatch_table=None):
self.dispatch = dict() if dispatch_table is None else dispatch_table
def register(self, ref):
def decorator(func):
self.dispatch[ref] = func
return func
return decorator
def get(sel... | 27.792208 | 201 | 0.730841 | 2,065 | 0.956019 | 0 | 0 | 303 | 0.140278 | 0 | 0 | 1,216 | 0.562963 |
6896c0545b2d4f8acba5f99caf7c1f5b8e3c596c | 91 | py | Python | siem_integrations/clx_query_service/clxquery/apps.py | mdemoret-nv/clx | 3737706187d8f5720561e10b85cbd638c77b9267 | [
"Apache-2.0"
] | 143 | 2019-11-06T16:08:50.000Z | 2022-03-22T12:14:59.000Z | siem_integrations/clx_query_service/clxquery/apps.py | mdemoret-nv/clx | 3737706187d8f5720561e10b85cbd638c77b9267 | [
"Apache-2.0"
] | 361 | 2019-11-06T20:33:24.000Z | 2022-03-31T19:59:12.000Z | siem_integrations/clx_query_service/clxquery/apps.py | mdemoret-nv/clx | 3737706187d8f5720561e10b85cbd638c77b9267 | [
"Apache-2.0"
] | 82 | 2019-11-06T17:36:42.000Z | 2022-03-17T07:03:04.000Z | from django.apps import AppConfig
class ClxQueryConfig(AppConfig):
name = "clxquery"
| 15.166667 | 33 | 0.758242 | 54 | 0.593407 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.10989 |
6897023917e0a55a0e08c289c8451ac380c0fbaa | 5,254 | py | Python | tests/test_code_vasp.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 67 | 2015-01-31T07:44:55.000Z | 2022-03-21T21:43:34.000Z | tests/test_code_vasp.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 13 | 2016-06-03T19:07:51.000Z | 2022-03-31T04:20:40.000Z | tests/test_code_vasp.py | petavazohi/PyChemia | e779389418771c25c830aed360773c63bb069372 | [
"MIT"
] | 37 | 2015-01-22T15:37:23.000Z | 2022-03-21T15:38:10.000Z | import os
import shutil
import pychemia
import tempfile
import unittest
class MyTestCase(unittest.TestCase):
def test_incar(self):
"""
Test (pychemia.code.vasp) [INCAR parsing and writing] :
"""
print(os.getcwd())
iv = pychemia.code.vasp.read_incar('tests/data/vasp_0... | 39.208955 | 113 | 0.621622 | 5,178 | 0.985535 | 0 | 0 | 0 | 0 | 0 | 0 | 1,212 | 0.230681 |
6897d0617b652b4190982ab2f26f229b87c68973 | 7,048 | py | Python | generateResources.py | shisi1/libVulpes | 15ec3cab2cdea076cf777da811d783f58ec7f36f | [
"MIT"
] | null | null | null | generateResources.py | shisi1/libVulpes | 15ec3cab2cdea076cf777da811d783f58ec7f36f | [
"MIT"
] | null | null | null | generateResources.py | shisi1/libVulpes | 15ec3cab2cdea076cf777da811d783f58ec7f36f | [
"MIT"
] | 2 | 2021-11-29T18:16:46.000Z | 2021-12-16T16:35:59.000Z | import os
class Material:
def __init__(self, name, color, outputs):
self.name = name
self.color = color
self.outputs = outputs
materials = [Material("dilithium", 0xddcecb, ("DUST", "GEM")),
Material("iron", 0xafafaf, ("SHEET", "STICK", "DUST", "PLATE")),
Material("gold", 0xffff5d, ("D... | 41.458824 | 209 | 0.610528 | 149 | 0.021141 | 0 | 0 | 0 | 0 | 0 | 0 | 2,352 | 0.333712 |
68989bd20a742e1b1f652b4df8e618dc746273a5 | 89,471 | py | Python | SOGM-3D-2D-Net/slam/dev_slam.py | liuxinren456852/Deep-Collison-Checker | 1d96415fd865361e22a6f25547707c47628dcfbe | [
"MIT"
] | 7 | 2021-09-09T15:03:36.000Z | 2022-03-15T16:33:33.000Z | SOGM-3D-2D-Net/slam/dev_slam.py | liuxinren456852/Deep-Collison-Checker | 1d96415fd865361e22a6f25547707c47628dcfbe | [
"MIT"
] | null | null | null | SOGM-3D-2D-Net/slam/dev_slam.py | liuxinren456852/Deep-Collison-Checker | 1d96415fd865361e22a6f25547707c47628dcfbe | [
"MIT"
] | 1 | 2021-09-10T01:46:50.000Z | 2021-09-10T01:46:50.000Z | #
#
# 0=================================0
# | Kernel Point Convolutions |
# 0=================================0
#
#
# ----------------------------------------------------------------------------------------------------------------------
#
# Class handling SemanticKitti dataset.
# ... | 35.141791 | 121 | 0.499156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22,030 | 0.246225 |
68998d2ad54cd9bef2834023dae463b6fbec5d90 | 1,128 | py | Python | src/3-all_together/parse_vectors.py | bt3gl/Tool-NetClean_Complex_Networks_Data_Cleanser | 312f4fe2a080b75550e353a55ebf5b03d4d9c9a1 | [
"MIT"
] | 5 | 2015-04-14T04:09:40.000Z | 2018-05-18T21:57:21.000Z | src/3-all_together/parse_vectors.py | aquario-crypto/NetClean-Complex_Networks_Data_Cleanser | 312f4fe2a080b75550e353a55ebf5b03d4d9c9a1 | [
"MIT"
] | null | null | null | src/3-all_together/parse_vectors.py | aquario-crypto/NetClean-Complex_Networks_Data_Cleanser | 312f4fe2a080b75550e353a55ebf5b03d4d9c9a1 | [
"MIT"
] | 4 | 2015-04-14T04:11:28.000Z | 2019-07-12T03:47:30.000Z | #!/usr/bin/env python
__author__ = "Mari Wahl"
__copyright__ = "Copyright 2014, The Cogent Project"
__credits__ = ["Mari Wahl"]
__license__ = "GPL"
__version__ = "2.0"
__maintainer__ = "Mari Wahl"
__email__ = "[email protected]"
import os
from constants import SUBFOLDERS, FEATURES
def create_input_files(... | 21.692308 | 61 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 291 | 0.257979 |
6899ddd456696f5f8cbff28853c9ebc19f43f8ce | 18,361 | py | Python | monitoring/tests/unit/gapic/v3/test_service_monitoring_service_client_v3.py | q-logic/google-cloud-python | a65065c89c059bc564bbdd79288a48970907c399 | [
"Apache-2.0"
] | null | null | null | monitoring/tests/unit/gapic/v3/test_service_monitoring_service_client_v3.py | q-logic/google-cloud-python | a65065c89c059bc564bbdd79288a48970907c399 | [
"Apache-2.0"
] | 40 | 2019-07-16T10:04:48.000Z | 2020-01-20T09:04:59.000Z | monitoring/tests/unit/gapic/v3/test_service_monitoring_service_client_v3.py | q-logic/google-cloud-python | a65065c89c059bc564bbdd79288a48970907c399 | [
"Apache-2.0"
] | 2 | 2019-07-18T00:05:31.000Z | 2019-11-27T14:17:22.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 38.093361 | 88 | 0.680954 | 17,502 | 0.953216 | 0 | 0 | 0 | 0 | 0 | 0 | 3,325 | 0.18109 |
689b058710ba7e2e873901967ce4945aab966125 | 294 | py | Python | bin/ripple/util/Database.py | tdfischer/rippled | 399c43cae6e90a428e9ce6a988123972b0f03c99 | [
"BSL-1.0"
] | 89 | 2015-04-23T20:24:58.000Z | 2022-03-20T12:35:30.000Z | bin/ripple/util/Database.py | tdfischer/rippled | 399c43cae6e90a428e9ce6a988123972b0f03c99 | [
"BSL-1.0"
] | 14 | 2020-05-25T15:42:18.000Z | 2022-03-20T12:44:56.000Z | bin/ripple/util/Database.py | tdfischer/rippled | 399c43cae6e90a428e9ce6a988123972b0f03c99 | [
"BSL-1.0"
] | 41 | 2015-01-19T05:26:34.000Z | 2022-02-23T03:47:39.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
import sqlite3
def fetchall(database, query, kwds):
conn = sqlite3.connect(database)
try:
cursor = conn.execute(query, kwds)
return cursor.fetchall()
finally:
conn.close()
| 22.615385 | 82 | 0.697279 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
689c35abc62fa1170e0db4a74ec9011f9d0a466c | 1,775 | py | Python | backend/utils/__init__.py | szkkteam/agrosys | a390332202f7200632d2ff3816e1b0f3cc76f586 | [
"MIT"
] | null | null | null | backend/utils/__init__.py | szkkteam/agrosys | a390332202f7200632d2ff3816e1b0f3cc76f586 | [
"MIT"
] | null | null | null | backend/utils/__init__.py | szkkteam/agrosys | a390332202f7200632d2ff3816e1b0f3cc76f586 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Common Python library imports
import re
import unicodedata
# Pip package imports
from flask_sqlalchemy.model import camel_to_snake_case
from flask import current_app
from itsdangerous import URLSafeSerializer, BadData
from loguru import logger
# Internal package import... | 27.307692 | 100 | 0.654085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 481 | 0.270986 |
689c565289e0ab67922c34bd175bd019c149cc51 | 3,028 | py | Python | aadi/roi_heads.py | WanXiaopei/aadi | 08a7399b3dcfab716cc7b80a88201fc47186ffd3 | [
"MIT"
] | 4 | 2021-06-01T02:46:21.000Z | 2022-01-11T03:02:36.000Z | aadi/roi_heads.py | WanXiaopei/aadi | 08a7399b3dcfab716cc7b80a88201fc47186ffd3 | [
"MIT"
] | null | null | null | aadi/roi_heads.py | WanXiaopei/aadi | 08a7399b3dcfab716cc7b80a88201fc47186ffd3 | [
"MIT"
] | null | null | null | from typing import List
import torch
from detectron2.structures import ImageList, Boxes, Instances, pairwise_iou
from detectron2.modeling.box_regression import Box2BoxTransform
from detectron2.modeling.roi_heads import ROI_HEADS_REGISTRY, StandardROIHeads
from detectron2.modeling.roi_heads.cascade_rcnn import CascadeR... | 40.373333 | 88 | 0.674042 | 2,513 | 0.829921 | 0 | 0 | 2,575 | 0.850396 | 0 | 0 | 197 | 0.065059 |
689ca4570dd678af10ee1eb645c837983c0d78c1 | 350 | py | Python | TF/tensorflow--tutorial/tf.contrib.data.py | STHSF/DeepLearning | af91fced5af87f69915bb2674229d5f6461f553d | [
"MIT"
] | 6 | 2016-09-13T05:50:05.000Z | 2020-01-03T06:34:53.000Z | TF/tensorflow--tutorial/tf.contrib.data.py | STHSF/DeepLearning | af91fced5af87f69915bb2674229d5f6461f553d | [
"MIT"
] | null | null | null | TF/tensorflow--tutorial/tf.contrib.data.py | STHSF/DeepLearning | af91fced5af87f69915bb2674229d5f6461f553d | [
"MIT"
] | 6 | 2016-09-28T02:55:35.000Z | 2019-05-31T02:51:43.000Z | # coding=utf-8
# tensorflow tf.contrib.data api test
import tensorflow as tf
# file path
filename = ''
batch_size = 100
aa = (tf.contrib.data.TextLineDataset(filename)
.map((lambda line: tf.decode_csv(line, record_defaults=[['1'], ['1'], ['1']], field_delim='\t')))
.shuffle(buffer_size=1000)
.bat... | 18.421053 | 103 | 0.651429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.22 |
689cd75c21771ffe0186b10faeb2d7cc34833c06 | 1,333 | py | Python | 哥伦布(STM32F407)/4.拓展实验/3.音频播放/01-物理按键版/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | 73 | 2020-05-02T13:48:27.000Z | 2022-03-26T13:15:10.000Z | 哥伦布(STM32F407)/4.拓展实验/3.音频播放/01-物理按键版/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | null | null | null | 哥伦布(STM32F407)/4.拓展实验/3.音频播放/01-物理按键版/main.py | 01studio-lab/MicroPython_Examples | f06a1bee398674ceafebed2aac88d8413cc8abad | [
"MIT"
] | 50 | 2020-05-15T13:57:28.000Z | 2022-03-30T14:03:33.000Z | '''
实验名称：音频播放
版本：v1.0
日期：2020.12
作者：01Studio
说明：MP3/WAV音频文件播放。使用物理按键控制
'''
#导入相关模块
import audio,time
from pyb import Switch
from machine import Pin
#构建音频对象
wm=audio.WM8978()
vol = 80 #音量初始化，80
######################
# 播放 USR按键
######################
play_flag = 0
def music_play():
global play_flag
play_fla... | 15.147727 | 55 | 0.523631 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 596 | 0.380831 |
689f3d8878428c818087147e65c24430b3c5c043 | 942 | py | Python | mir_navigation/nodes/min_max_finder.py | xneomac/mir_robot | 0041b41bb661d32a34c266d0535acf1c78cf61b9 | [
"BSD-3-Clause"
] | 3 | 2020-07-31T05:15:59.000Z | 2020-11-30T03:49:43.000Z | mir_navigation/nodes/min_max_finder.py | xneomac/mir_robot | 0041b41bb661d32a34c266d0535acf1c78cf61b9 | [
"BSD-3-Clause"
] | null | null | null | mir_navigation/nodes/min_max_finder.py | xneomac/mir_robot | 0041b41bb661d32a34c266d0535acf1c78cf61b9 | [
"BSD-3-Clause"
] | 9 | 2019-09-17T21:18:01.000Z | 2021-04-21T11:28:24.000Z | #!/usr/bin/env python
import rospy
from nav_msgs.msg import Odometry
lin_min = 0.0
lin_max = 0.0
ang_min = 0.0
ang_max = 0.0
def odom_cb(msg):
global lin_min, lin_max, ang_min, ang_max
if lin_min > msg.twist.twist.linear.x:
lin_min = msg.twist.twist.linear.x
if lin_max < msg.twist.twist.linear.x... | 26.166667 | 109 | 0.663482 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 186 | 0.197452 |
68a03991604ba0d78b82b80d7e17b446d2af4cc2 | 5,076 | py | Python | classes.py | cheng-zeng35/lyricsync | 19a4dde9eee543b822a93f9ccf613252dc1ad067 | [
"MIT"
] | null | null | null | classes.py | cheng-zeng35/lyricsync | 19a4dde9eee543b822a93f9ccf613252dc1ad067 | [
"MIT"
] | null | null | null | classes.py | cheng-zeng35/lyricsync | 19a4dde9eee543b822a93f9ccf613252dc1ad067 | [
"MIT"
] | null | null | null | # this file is to store all custom classes
import tkinter as tk
# class to store tkinter window properties
# font: tk font dictionary {family, size, weight, slant, underline, overstrike}
# font color: string
# nrows: the number of rows of lyric displayed (integer greater than 0)
# width: window width (int greater tha... | 45.72973 | 120 | 0.656816 | 3,548 | 0.698838 | 0 | 0 | 0 | 0 | 0 | 0 | 1,873 | 0.368919 |
68a37f7b4dbe79a75b57e0f1d831de618aa2079e | 563 | py | Python | test/unit/unittest_utils/utility.py | tsungjui/fusionline | 26d5d41e82ac83822ba41df1cd14c54afa112655 | [
"CC-BY-3.0"
] | 1 | 2019-11-03T11:45:43.000Z | 2019-11-03T11:45:43.000Z | test/unit/unittest_utils/utility.py | tsungjui/fusionline | 26d5d41e82ac83822ba41df1cd14c54afa112655 | [
"CC-BY-3.0"
] | 4 | 2017-05-24T19:36:34.000Z | 2019-08-23T02:49:18.000Z | test/unit/unittest_utils/utility.py | abretaud/galaxy | 1ad89511540e6800cd2d0da5d878c1c77d8ccfe9 | [
"CC-BY-3.0"
] | null | null | null | """
Unit test utilities.
"""
import textwrap
def clean_multiline_string( multiline_string, sep='\n' ):
"""
Dedent, split, remove first and last empty lines, rejoin.
"""
multiline_string = textwrap.dedent( multiline_string )
string_list = multiline_string.split( sep )
if not string_list[0]:
... | 23.458333 | 61 | 0.641208 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 167 | 0.296625 |
68a4b52bb7b1fdaa9592b0d8a5eb274cac1c955e | 1,387 | py | Python | tests/test_chunk_messages.py | UncleGoogle/galaxy-integrations-python-api | 49ae2beab9cc48e55d7a5e90e39d43789fb823db | [
"MIT"
] | null | null | null | tests/test_chunk_messages.py | UncleGoogle/galaxy-integrations-python-api | 49ae2beab9cc48e55d7a5e90e39d43789fb823db | [
"MIT"
] | null | null | null | tests/test_chunk_messages.py | UncleGoogle/galaxy-integrations-python-api | 49ae2beab9cc48e55d7a5e90e39d43789fb823db | [
"MIT"
] | null | null | null | import asyncio
import json
def test_chunked_messages(plugin, read):
request = {
"jsonrpc": "2.0",
"method": "install_game",
"params": {
"game_id": "3"
}
}
message = json.dumps(request).encode() + b"\n"
read.side_effect = [message[:5], message[5:], b""]
a... | 25.218182 | 83 | 0.522711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 267 | 0.192502 |
68a4f3241cf1bad984e99e344329235393aad6ba | 2,731 | py | Python | test/Crawler/Fs/Image/ImageCrawlerTest.py | paulondc/chilopoda | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | [
"MIT"
] | 2 | 2019-09-24T18:56:27.000Z | 2021-02-07T04:58:49.000Z | test/Crawler/Fs/Image/ImageCrawlerTest.py | paulondc/kombi | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | [
"MIT"
] | 20 | 2019-02-16T04:21:13.000Z | 2019-03-09T21:21:21.000Z | test/Crawler/Fs/Image/ImageCrawlerTest.py | paulondc/kombi | 046dbb0c1b4ff20ea5f2e1679f8d89f3089b6aa4 | [
"MIT"
] | 3 | 2019-11-15T05:16:32.000Z | 2021-09-28T21:28:29.000Z | import os
import unittest
from ....BaseTestCase import BaseTestCase
from kombi.Crawler import Crawler
from kombi.Crawler.Fs.Image import ImageCrawler
from kombi.Crawler.PathHolder import PathHolder
class ImageCrawlerTest(BaseTestCase):
"""Test Image crawler."""
__singleFile = os.path.join(BaseTestCase.dataTes... | 36.905405 | 89 | 0.677774 | 2,482 | 0.908825 | 0 | 0 | 0 | 0 | 0 | 0 | 864 | 0.316368 |
68a865bda85a4ed7b4aebbb6e21920d35b0aaa7a | 3,688 | py | Python | test/test_websocket_server.py | markkorput/pyRemoteParams | b96cc3d694f5715af40cf71865e7c2f550897a81 | [
"MIT"
] | null | null | null | test/test_websocket_server.py | markkorput/pyRemoteParams | b96cc3d694f5715af40cf71865e7c2f550897a81 | [
"MIT"
] | 2 | 2020-03-13T07:14:36.000Z | 2020-05-22T09:54:08.000Z | test/test_websocket_server.py | markkorput/pyRemoteParams | b96cc3d694f5715af40cf71865e7c2f550897a81 | [
"MIT"
] | null | null | null |
#!/usr/bin/env python
import unittest, asyncio, asynctest, websockets, json
from remote_params import HttpServer, Params, Server, Remote, create_sync_params, schema_list
from remote_params.WebsocketServer import WebsocketServer
class MockSocket:
def __init__(self):
self.close_count = 0
self.msgs = []
de... | 31.521368 | 94 | 0.699024 | 3,372 | 0.914317 | 0 | 0 | 0 | 0 | 2,873 | 0.779013 | 838 | 0.227223 |
68a90bb15946847753f138179d4f2bda0c5abd53 | 3,592 | py | Python | analyzer/com_classfiction.py | mt-group-1/social-react | 8b3b75b08c595c99ab61da3c76b4916a524f75b0 | [
"MIT"
] | null | null | null | analyzer/com_classfiction.py | mt-group-1/social-react | 8b3b75b08c595c99ab61da3c76b4916a524f75b0 | [
"MIT"
] | 4 | 2021-11-08T20:48:42.000Z | 2021-11-11T21:38:16.000Z | analyzer/com_classfiction.py | mt-group-1/social-react | 8b3b75b08c595c99ab61da3c76b4916a524f75b0 | [
"MIT"
] | null | null | null | import warnings
import pandas as pd
from nltk.sentiment.vader import SentimentIntensityAnalyzer
warnings.filterwarnings("ignore")
def classify_comments(text_file, page_name):
"""
Description:
This function recives a text file and convert it into csv file to enable to label the comments inside that file, ... | 32.654545 | 249 | 0.584633 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,942 | 0.540646 |
68aaa854df265e745f3f5094661f5862c8bd4125 | 846 | py | Python | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | 2 | 2021-01-06T19:38:25.000Z | 2022-01-25T10:00:20.000Z | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | 1 | 2021-01-04T10:44:12.000Z | 2021-01-04T10:44:12.000Z | tests/test_android_here.py | b3b/pythonhere | edd45b4f5087d63e1bf265ec6a7c6ade23580de3 | [
"MIT"
] | null | null | null | import pytest
@pytest.mark.parametrize(
"script", (None, "test.py"),
)
def test_restart_app(mocked_android_modules, app_instance, test_py_script, script):
from android_here import restart_app
restart_app(script)
def test_script_path_resolved(mocked_android_modules, app_instance, test_py_script):
fro... | 32.538462 | 93 | 0.795508 | 0 | 0 | 0 | 0 | 209 | 0.247045 | 0 | 0 | 59 | 0.06974 |
68aff5ecfb731da2cc7a3de58df5147f26f41df7 | 346 | py | Python | Example/facenet_example.py | generalized-intelligence/Tegu | 99394f62f2acdeed9e985685811e76f94ab7ac11 | [
"BSD-3-Clause"
] | 11 | 2019-01-29T07:01:38.000Z | 2021-07-28T06:25:49.000Z | Example/facenet_example.py | generalized-intelligence/Tegu | 99394f62f2acdeed9e985685811e76f94ab7ac11 | [
"BSD-3-Clause"
] | 23 | 2019-02-18T13:35:09.000Z | 2022-03-11T23:42:11.000Z | Example/facenet_example.py | generalized-intelligence/Tegu | 99394f62f2acdeed9e985685811e76f94ab7ac11 | [
"BSD-3-Clause"
] | 3 | 2019-02-12T08:09:45.000Z | 2019-06-06T02:28:55.000Z | import sys
sys.path.append('..')
from Network.facenet.API import build_face_manager, detetion_and_recongnize
'''
You have to build face manager before you start detection and recongnize.
'''
face_manager = build_face_manager(r"face/dataset/path")
result = detetion_and_recongnize(face_manager, r"images/path/you/want/... | 28.833333 | 81 | 0.794798 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 138 | 0.398844 |
68b1fd87e78b3220b657c40bcdf0a4d61bd25d07 | 149 | py | Python | Fundamentos/mundo_pc/dispositivo_entrada.py | ijchavez/python | bccd94a9bee90125e2be27b0355bdaedb0ae9d19 | [
"Unlicense"
] | null | null | null | Fundamentos/mundo_pc/dispositivo_entrada.py | ijchavez/python | bccd94a9bee90125e2be27b0355bdaedb0ae9d19 | [
"Unlicense"
] | null | null | null | Fundamentos/mundo_pc/dispositivo_entrada.py | ijchavez/python | bccd94a9bee90125e2be27b0355bdaedb0ae9d19 | [
"Unlicense"
] | null | null | null | class DispositivoEntrada:
def __init__(self, marca, tipo_entrada):
self._marca = marca
self.tipo_entrada = tipo_entrada
| 24.833333 | 44 | 0.657718 | 139 | 0.932886 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
68b43353f299ef2ed5654c73d7e6db582ed331bb | 132 | py | Python | src/clarityv2/homepage/urls.py | Clarity-89/clarityv2 | 7c4af765c5473778fc0750d1505f8b5f1724e5c5 | [
"MIT"
] | null | null | null | src/clarityv2/homepage/urls.py | Clarity-89/clarityv2 | 7c4af765c5473778fc0750d1505f8b5f1724e5c5 | [
"MIT"
] | 1 | 2022-03-11T23:38:16.000Z | 2022-03-11T23:38:16.000Z | src/clarityv2/homepage/urls.py | Clarity-89/clarityv2 | 7c4af765c5473778fc0750d1505f8b5f1724e5c5 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import HomepageView
urlpatterns = [
path('', HomepageView.as_view(), name='home'),
]
| 16.5 | 50 | 0.704545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.060606 |
68b51c475fa96363f2601bbdb5efa8957c5f2363 | 5,394 | py | Python | kolibri/plugins/utils/options.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 545 | 2016-01-19T19:26:55.000Z | 2022-03-20T00:13:04.000Z | kolibri/plugins/utils/options.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 8,329 | 2016-01-19T19:32:02.000Z | 2022-03-31T21:23:12.000Z | kolibri/plugins/utils/options.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 493 | 2016-01-19T19:26:48.000Z | 2022-03-28T14:35:05.000Z | import copy
import logging
import warnings
from kolibri.plugins.registry import registered_plugins
logger = logging.getLogger(__name__)
def __validate_config_option(
section, name, base_config_spec, plugin_specs, module_path
):
# Raise an error if someone tries to overwrite a base option
# except for th... | 40.253731 | 119 | 0.616982 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,329 | 0.246385 |
68b5318b5c1be79ea4655397f748e0742a2d9190 | 2,909 | py | Python | utils.py | yzhhome/seq2seq_chatbot | 2dd135da0d390c19b48cd72dfe19d6b32f698e03 | [
"MIT"
] | null | null | null | utils.py | yzhhome/seq2seq_chatbot | 2dd135da0d390c19b48cd72dfe19d6b32f698e03 | [
"MIT"
] | null | null | null | utils.py | yzhhome/seq2seq_chatbot | 2dd135da0d390c19b48cd72dfe19d6b32f698e03 | [
"MIT"
] | null | null | null | from io import open
import time
import math
import torch
import torch.nn.functional as F
from config import MAX_LENGTH
from config import SOS_token
from config import EOS_token
from config import device
class Lang:
def __init__(self, name):
self.name = name
self.word2index = {}
self.word2co... | 28.80198 | 77 | 0.644208 | 629 | 0.211003 | 0 | 0 | 0 | 0 | 0 | 0 | 329 | 0.110366 |
68b5fc5d2f892e35cab73d5c07f10d1ff89a7241 | 1,941 | py | Python | src/archive-comments-lambda/main.py | knotsrepus/knotsrepus-archiver | 68384f24c6b8c3a45c39ac9720e10c26c1512279 | [
"Apache-2.0"
] | 1 | 2021-07-17T07:56:46.000Z | 2021-07-17T07:56:46.000Z | src/archive-comments-lambda/main.py | knotsrepus/knotsrepus-archiver | 68384f24c6b8c3a45c39ac9720e10c26c1512279 | [
"Apache-2.0"
] | null | null | null | src/archive-comments-lambda/main.py | knotsrepus/knotsrepus-archiver | 68384f24c6b8c3a45c39ac9720e10c26c1512279 | [
"Apache-2.0"
] | null | null | null | import asyncio
import json
import os
from datetime import datetime
from src.common import log_utils, pushshift
from src.common.filesystem import S3FileSystem, StubFileSystem
from src.common.lambda_context import local_lambda_invocation
def handler(event, context):
logger = log_utils.get_logger("archive-comments-... | 26.958333 | 97 | 0.703246 | 0 | 0 | 0 | 0 | 0 | 0 | 1,133 | 0.58372 | 277 | 0.14271 |
68b67bfa73f83b95f8183d1aa57786bce152b7a4 | 11,578 | py | Python | cpc/criterion/clustering/clustering_quantization.py | anuragkumar95/CPC_audio | c771d07bb1cac4df947496813a4d07fd95e53f7f | [
"MIT"
] | 6 | 2021-04-27T06:19:15.000Z | 2021-11-04T20:22:46.000Z | cpc/criterion/clustering/clustering_quantization.py | anuragkumar95/CPC_audio | c771d07bb1cac4df947496813a4d07fd95e53f7f | [
"MIT"
] | 7 | 2021-02-05T11:40:54.000Z | 2021-04-06T12:45:54.000Z | cpc/criterion/clustering/clustering_quantization.py | anuragkumar95/CPC_audio | c771d07bb1cac4df947496813a4d07fd95e53f7f | [
"MIT"
] | 5 | 2021-04-29T06:45:00.000Z | 2021-11-23T19:51:02.000Z | import os
import sys
import json
import argparse
import progressbar
from pathlib import Path
from random import shuffle
from time import time
import torch
from cpc.dataset import findAllSeqs
from cpc.feature_loader import buildFeature, FeatureModule, loadModel, buildFeature_batch
from cpc.criterion.clustering import kM... | 43.040892 | 139 | 0.608568 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,471 | 0.299793 |
d799c19014a1b79f5fe8a1069ce05224e3482da3 | 1,591 | py | Python | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | null | null | null | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | 378 | 2021-03-25T20:09:54.000Z | 2021-10-01T01:02:39.000Z | workflows/pipe-common/pipeline/autoscaling/cloudprovider.py | NShaforostov/cloud-pipeline | 8d25b2b5f4838be569d9c25a307b77df5b0e73fc | [
"Apache-2.0"
] | 2 | 2019-08-09T18:04:54.000Z | 2019-08-11T19:03:06.000Z | # Copyright 2017-2019 EPAM Systems, Inc. (https://www.epam.com/)
#
# 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 appli... | 32.469388 | 125 | 0.715273 | 822 | 0.516656 | 0 | 0 | 0 | 0 | 0 | 0 | 691 | 0.434318 |
d79a0e50ffc39bcabbef42ae425c1e746935ff84 | 4,140 | py | Python | setup.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | setup.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | setup.py | gokceneraslan/ProDy | 74d40c372c53bd68f5e9f9c47b991b2e2b1b9f27 | [
"NCSA"
] | null | null | null | import glob
import os
import os.path
import sys
import shutil
import cPickle
from types import StringType, UnicodeType
from distutils.core import setup
from distutils.extension import Extension
from distutils.command.install import install
PY3K = sys.version_info[0] > 2
with open('README.rst') as inp:
long_descr... | 35.689655 | 79 | 0.587923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,747 | 0.421981 |
d79a69ca5970bcc43c73bbe72a7d4bd0d0841c39 | 491 | py | Python | rabbitai/migrations/versions/d7c1a0d6f2da_remove_limit_used_from_query_model.py | psbsgic/rabbitai | 769e120ba605d56ac076f810a549c38dac410c8e | [
"Apache-2.0"
] | null | null | null | rabbitai/migrations/versions/d7c1a0d6f2da_remove_limit_used_from_query_model.py | psbsgic/rabbitai | 769e120ba605d56ac076f810a549c38dac410c8e | [
"Apache-2.0"
] | null | null | null | rabbitai/migrations/versions/d7c1a0d6f2da_remove_limit_used_from_query_model.py | psbsgic/rabbitai | 769e120ba605d56ac076f810a549c38dac410c8e | [
"Apache-2.0"
] | 1 | 2021-07-09T16:29:50.000Z | 2021-07-09T16:29:50.000Z | """Remove limit used from query model
Revision ID: d7c1a0d6f2da
Revises: afc69274c25a
Create Date: 2019-06-04 10:12:36.675369
"""
# revision identifiers, used by Alembic.
revision = "d7c1a0d6f2da"
down_revision = "afc69274c25a"
import sqlalchemy as sa
from alembic import op
def upgrade():
with op.batch_alter_... | 20.458333 | 80 | 0.735234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.482688 |
d79a6a449f7e90756102071f66e54f7f316037df | 13,393 | py | Python | realworld_benchmark/nets/eig_layer.py | DomInvivo/pna | 1a7d8ae645d093ebedeffcf148a98f6061957a23 | [
"MIT"
] | null | null | null | realworld_benchmark/nets/eig_layer.py | DomInvivo/pna | 1a7d8ae645d093ebedeffcf148a98f6061957a23 | [
"MIT"
] | null | null | null | realworld_benchmark/nets/eig_layer.py | DomInvivo/pna | 1a7d8ae645d093ebedeffcf148a98f6061957a23 | [
"MIT"
] | 2 | 2020-11-05T15:34:23.000Z | 2020-12-17T17:44:48.000Z | EPS = 1e-5
import threading
import torch
import torch.nn as nn
import torch.nn.functional as F
from .aggregators import AGGREGATORS
from .layers import MLP, FCLayer
from .scalers import SCALERS
class EIGLayerComplex(nn.Module):
def __init__(self, in_dim, out_dim, dropout, graph_norm, batch_norm, aggregators, sc... | 37.099723 | 199 | 0.605615 | 13,046 | 0.974091 | 0 | 0 | 0 | 0 | 0 | 0 | 1,275 | 0.095199 |
d79aca613972336652669e46aaf23dbcf659d8b3 | 3,553 | py | Python | NLPEngine/utils/nlp_config.py | hmi-digital/bot_platform | 91a26e566b07fa309774d0333a6bccf3d64cccc5 | [
"MIT"
] | null | null | null | NLPEngine/utils/nlp_config.py | hmi-digital/bot_platform | 91a26e566b07fa309774d0333a6bccf3d64cccc5 | [
"MIT"
] | null | null | null | NLPEngine/utils/nlp_config.py | hmi-digital/bot_platform | 91a26e566b07fa309774d0333a6bccf3d64cccc5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import json
import hashlib
from warnings import simplefilter
from utils import log_util
# ignore all warnings
simplefilter(action='ignore')
##Global parameters
scriptDir = os.path.dirname(__file__)
dataPath = os.path.join(scriptDir, '..', 'training_data', 'intents')
propertyFile =... | 28.653226 | 102 | 0.633268 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 721 | 0.202927 |
d79b4bcbf6a110684a6330158716bc8642e8c218 | 641 | py | Python | flow/core/gcp_credentials.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | null | null | null | flow/core/gcp_credentials.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | 1 | 2016-10-03T18:48:15.000Z | 2019-11-01T21:53:30.000Z | flow/core/gcp_credentials.py | hwknsj/synergy_flow | aba8f57b2cbeeb0368a64eaa7e5369fcef0a3136 | [
"BSD-3-Clause"
] | 1 | 2019-11-02T00:45:26.000Z | 2019-11-02T00:45:26.000Z | import io
import json
from google.auth import compute_engine
from google.oauth2 import service_account
def gcp_credentials(service_account_file):
if service_account_file:
with io.open(service_account_file, 'r', encoding='utf-8') as json_fi:
credentials_info = json.load(json_fi)
creden... | 35.611111 | 93 | 0.75195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 149 | 0.232449 |
d79b6b0b33508785a7ea10e66bc23630bb1ac265 | 4,218 | py | Python | main.py | tremor6916/sakugabooru-bot | c9e226699e97201dfa1937638adfd30f70d8cbf9 | [
"MIT"
] | 1 | 2021-08-16T14:47:19.000Z | 2021-08-16T14:47:19.000Z | main.py | tremor6916/sakugabooru-bot | c9e226699e97201dfa1937638adfd30f70d8cbf9 | [
"MIT"
] | 2 | 2021-08-12T13:18:50.000Z | 2021-08-14T07:01:28.000Z | main.py | tremor6916/sakugabooru-bot | c9e226699e97201dfa1937638adfd30f70d8cbf9 | [
"MIT"
] | null | null | null | import requests
import tweepy
import random
import time
import os
import bs4
from bs4 import BeautifulSoup
from pybooru import Moebooru
siteurl='https://www.sakugabooru.com/post/show/'
header = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/62.0.3202.94 Safari/53... | 35.745763 | 170 | 0.628497 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,162 | 0.275486 |
d79bfd3dab6cfcc04ef37c5a0243968c7e22addb | 491 | py | Python | demos/template/src/urls.py | akornatskyy/wheezy.web | 417834db697cf1f78f3a60cc880b9fd25d40c6de | [
"MIT"
] | 17 | 2020-08-29T18:45:51.000Z | 2022-03-02T19:37:13.000Z | demos/template/src/urls.py | akornatskyy/wheezy.web | 417834db697cf1f78f3a60cc880b9fd25d40c6de | [
"MIT"
] | 29 | 2020-07-18T04:34:03.000Z | 2021-07-06T09:42:36.000Z | demos/template/src/urls.py | akornatskyy/wheezy.web | 417834db697cf1f78f3a60cc880b9fd25d40c6de | [
"MIT"
] | 1 | 2022-03-14T08:41:42.000Z | 2022-03-14T08:41:42.000Z | """
"""
from membership.web.urls import membership_urls
from public.web.urls import error_urls, public_urls, static_urls
from public.web.views import home
from wheezy.routing import url
locale_pattern = "{locale:(en|ru)}/"
locale_defaults = {"locale": "en"}
locale_urls = public_urls + membership_urls
locale_urls.app... | 25.842105 | 64 | 0.747454 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57 | 0.11609 |
d79c181f52cc059ca3916a4f670fd6822c3c776d | 5,571 | py | Python | olmm.py | wesselb/olmm | 367d69a4a646083d6b3f6ffd1963aeb2b7816ef9 | [
"MIT"
] | 2 | 2020-09-01T17:09:23.000Z | 2021-08-21T12:19:19.000Z | olmm.py | wesselb/olmm | 367d69a4a646083d6b3f6ffd1963aeb2b7816ef9 | [
"MIT"
] | null | null | null | olmm.py | wesselb/olmm | 367d69a4a646083d6b3f6ffd1963aeb2b7816ef9 | [
"MIT"
] | 2 | 2019-11-04T17:38:43.000Z | 2021-08-21T12:19:20.000Z | from stheno import (
B, # Linear algebra backend
Graph, # Graph that keep track of the graphical model
GP, # Gaussian process
EQ, # Squared-exponential kernel
Matern12, # Matern-1/2 kernel
Matern52, # Matern-5/2 kernel
Delta, # Noise kernel
Normal, # Gaussian distribution
Dia... | 32.578947 | 76 | 0.605277 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,585 | 0.46401 |
d79c63266fd7ef84a044820de7a71feb3ff446ff | 1,995 | py | Python | tests/molecular/molecules/utilities/building_block.py | andrewtarzia/stk | 1ac2ecbb5c9940fe49ce04cbf5603fd7538c475a | [
"MIT"
] | 21 | 2018-04-12T16:25:24.000Z | 2022-02-14T23:05:43.000Z | tests/molecular/molecules/utilities/building_block.py | JelfsMaterialsGroup/stk | 0d3e1b0207aa6fa4d4d5ee8dfe3a29561abb08a2 | [
"MIT"
] | 8 | 2019-03-19T12:36:36.000Z | 2020-11-11T12:46:00.000Z | tests/molecular/molecules/utilities/building_block.py | supramolecular-toolkit/stk | 0d3e1b0207aa6fa4d4d5ee8dfe3a29561abb08a2 | [
"MIT"
] | 5 | 2018-08-07T13:00:16.000Z | 2021-11-01T00:55:10.000Z | import itertools as it
from tests.utilities import (
is_equivalent_atom,
is_equivalent_molecule,
)
def are_equivalent_functional_groups(
functional_groups1,
functional_groups2,
):
functional_groups = it.zip_longest(
functional_groups1,
functional_groups2,
)
for fg1, fg2 in... | 28.913043 | 69 | 0.736341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d79c6838f09a05f79a094ede5cbcfc88762b1778 | 36 | py | Python | pydeps/__main__.py | miketheman/pydeps | 907a1a29cc0e04ad3698a812082775ccf39b6479 | [
"BSD-2-Clause"
] | 981 | 2015-07-08T15:55:30.000Z | 2022-03-31T08:53:30.000Z | pydeps/__main__.py | miketheman/pydeps | 907a1a29cc0e04ad3698a812082775ccf39b6479 | [
"BSD-2-Clause"
] | 129 | 2016-09-03T16:51:52.000Z | 2022-03-19T23:07:50.000Z | pydeps/__main__.py | miketheman/pydeps | 907a1a29cc0e04ad3698a812082775ccf39b6479 | [
"BSD-2-Clause"
] | 88 | 2015-03-24T03:25:54.000Z | 2022-03-24T07:35:02.000Z | from .pydeps import pydeps
pydeps()
| 12 | 26 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d79dec81c3204981b242083307d7250e99c10afb | 271 | py | Python | fileInfo.py | Jiaoma/fileStr | f400f607c7ab6923b36ffdda4e6eccdbc12c32cd | [
"MIT"
] | null | null | null | fileInfo.py | Jiaoma/fileStr | f400f607c7ab6923b36ffdda4e6eccdbc12c32cd | [
"MIT"
] | null | null | null | fileInfo.py | Jiaoma/fileStr | f400f607c7ab6923b36ffdda4e6eccdbc12c32cd | [
"MIT"
] | null | null | null | from os import listdir
from os.path import join
import os, errno
def getImageNum(rootDir):
return len(listdir(join(rootDir)))
def safeMkdir(path:str):
try:
os.makedirs(path)
except OSError as e:
if e.errno != errno.EEXIST:
raise | 19.357143 | 38 | 0.649446 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d79e215cb8f499e47e5107fabf650f63a2a2ff52 | 305 | py | Python | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | text-classify/test.py | ubear/MachineLearn | c24947f7078269f51bf7ee0d2167ca6b71152d1e | [
"MIT"
] | null | null | null | #coding:utf-8
import re
import math
from docclass import Classifier
def test_infc_func():
c = Classifier(getfeatures=None)
c.infc("python", "good")
c.infc("python", "good")
c.infc("the", "bad")
c.infc("the", "good")
print c.fc
if __name__ == "__main__":
test_infc_func()
| 15.25 | 36 | 0.629508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72 | 0.236066 |
d79e31449a493b9c8402aeee5862015258d4756b | 8,560 | py | Python | libs/hermes/hermes.cloudbreak/hermes/cloudbreak/kubernetes/base.py | KAGRA-TW-ML/gw-iaas | 3f4ff0fef16d39b75615b80fedf106a8dd4f846d | [
"MIT"
] | 2 | 2021-12-21T22:34:30.000Z | 2021-12-22T01:26:57.000Z | libs/hermes/hermes.cloudbreak/hermes/cloudbreak/kubernetes/base.py | KAGRA-TW-ML/gw-iaas | 3f4ff0fef16d39b75615b80fedf106a8dd4f846d | [
"MIT"
] | 3 | 2021-11-09T21:38:26.000Z | 2022-02-26T20:44:31.000Z | libs/hermes/hermes.cloudbreak/hermes/cloudbreak/kubernetes/base.py | KAGRA-TW-ML/gw-iaas | 3f4ff0fef16d39b75615b80fedf106a8dd4f846d | [
"MIT"
] | 3 | 2021-08-07T17:19:10.000Z | 2022-02-11T02:00:38.000Z | import abc
import time
from dataclasses import dataclass
from functools import partial
from typing import TYPE_CHECKING
import kubernetes
from kubernetes.utils.create_from_yaml import FailToCreateError
from urllib3.exceptions import MaxRetryError
from hermes.cloudbreak.utils import snakeify, wait_for
if TYPE_CHECKIN... | 30.140845 | 79 | 0.573248 | 8,145 | 0.951519 | 0 | 0 | 6,439 | 0.75222 | 0 | 0 | 1,493 | 0.174416 |
d79fcf121072d7dc68656d391c409e397c811e06 | 333 | py | Python | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | src/chapter2/exercise7.py | group6BCS1/BCS-2021 | 272b1117922163cde03901cfdd82f8e0cfab9a67 | [
"MIT"
] | null | null | null | c = float(input("Enter Amount Between 0-99 :"))
print(c // 20, "Twenties")
c = c % 20
print(c // 10, "Tens")
c = c % 10
print(c // 5, "Fives")
c = c % 5
print(c // 1, "Ones")
c = c % 1
print(c // 0.25, "Quarters")
c = c % 0.25
print(c // 0.1, "Dimes")
c = c % 0.1
print(c // 0.05, "Nickles")
c = c % 0.05
print(c // 0.01... | 19.588235 | 47 | 0.51952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 93 | 0.279279 |
d7a074b6e62790e1749e72555067425bbae6f923 | 4,772 | py | Python | gmn/src/d1_gmn/tests/test_content_disposition.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 15 | 2016-10-28T13:56:52.000Z | 2022-01-31T19:07:49.000Z | gmn/src/d1_gmn/tests/test_content_disposition.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 56 | 2017-03-16T03:52:32.000Z | 2022-03-12T01:05:28.000Z | gmn/src/d1_gmn/tests/test_content_disposition.py | DataONEorg/d1_python | dfab267c3adea913ab0e0073ed9dc1ee50b5b8eb | [
"Apache-2.0"
] | 11 | 2016-05-31T16:22:02.000Z | 2020-10-05T14:37:10.000Z | #!/usr/bin/env python
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2019 DataONE
#
# Licensed under the Apache License, Version 2.0 (t... | 35.61194 | 86 | 0.667854 | 3,518 | 0.737217 | 0 | 0 | 3,596 | 0.753562 | 0 | 0 | 2,159 | 0.452431 |
d7a429ba73c168c4f1bfd1cea778f28be08cf20c | 2,159 | py | Python | tests/test_models/test_ner_model.py | xyzhu8/mmocr | f62b4513f5411bde9f24e1902b1cb1945340022a | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_ner_model.py | xyzhu8/mmocr | f62b4513f5411bde9f24e1902b1cb1945340022a | [
"Apache-2.0"
] | null | null | null | tests/test_models/test_ner_model.py | xyzhu8/mmocr | f62b4513f5411bde9f24e1902b1cb1945340022a | [
"Apache-2.0"
] | null | null | null | import copy
import os.path as osp
import tempfile
import pytest
import torch
from mmocr.models import build_detector
def _create_dummy_vocab_file(vocab_file):
with open(vocab_file, 'w') as fw:
for char in list(map(chr, range(ord('a'), ord('z') + 1))):
fw.write(char + '\n')
def _get_config_... | 27.679487 | 78 | 0.673923 | 0 | 0 | 0 | 0 | 1,385 | 0.640907 | 0 | 0 | 482 | 0.223045 |
d7a7c1b8bf94815da1b2a43d746bb8543d773174 | 1,106 | py | Python | Cita.py | Desquivel501/Backend_Proyecto2_IPC1 | b983682eef4bcc379f6d57bf034675bf623fb33d | [
"Apache-2.0"
] | null | null | null | Cita.py | Desquivel501/Backend_Proyecto2_IPC1 | b983682eef4bcc379f6d57bf034675bf623fb33d | [
"Apache-2.0"
] | null | null | null | Cita.py | Desquivel501/Backend_Proyecto2_IPC1 | b983682eef4bcc379f6d57bf034675bf623fb33d | [
"Apache-2.0"
] | null | null | null | class Cita:
def __init__(self,id,solicitante,fecha,hora,motivo,estado,doctor):
self.id = id
self.solicitante = solicitante
self.fecha = fecha
self.hora = hora
self.motivo = motivo
self.estado = estado
self.doctor = doctor
def getId(self):
... | 20.867925 | 70 | 0.567812 | 1,095 | 0.990054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7a7ff3bd6f840a0858a02d02a7395eeedc612d9 | 3,333 | py | Python | recohut/models/layers/graph.py | sparsh-ai/recohut | 4121f665761ffe38c9b6337eaa9293b26bee2376 | [
"Apache-2.0"
] | null | null | null | recohut/models/layers/graph.py | sparsh-ai/recohut | 4121f665761ffe38c9b6337eaa9293b26bee2376 | [
"Apache-2.0"
] | 1 | 2022-01-12T05:40:57.000Z | 2022-01-12T05:40:57.000Z | recohut/models/layers/graph.py | RecoHut-Projects/recohut | 4121f665761ffe38c9b6337eaa9293b26bee2376 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/models/layers/models.layers.graph.ipynb (unless otherwise specified).
__all__ = ['FiGNN_Layer', 'GraphLayer']
# Cell
import torch
import torch.nn as nn
import torch.nn.functional as F
from itertools import product
# Cell
class FiGNN_Layer(nn.Module):
def __init__(s... | 40.646341 | 117 | 0.610561 | 3,052 | 0.915692 | 0 | 0 | 0 | 0 | 0 | 0 | 228 | 0.068407 |
d7a8eecbc304f83f8cc307ef1ff32ce4d5ad23c6 | 20,638 | py | Python | euchre.py | duck57/euchre.py | 838ef7b3bdd9e3bb6af6edce532300b004a4f1a4 | [
"0BSD"
] | 1 | 2020-03-26T00:00:18.000Z | 2020-03-26T00:00:18.000Z | euchre.py | duck57/euchre.py | 838ef7b3bdd9e3bb6af6edce532300b004a4f1a4 | [
"0BSD"
] | null | null | null | euchre.py | duck57/euchre.py | 838ef7b3bdd9e3bb6af6edce532300b004a4f1a4 | [
"0BSD"
] | null | null | null | #!venv/bin/python
# coding=UTF-8
# -*- coding: UTF-8 -*-
# vim: set fileencoding=UTF-8 :
"""
Double-deck bid euchre
Implementation is similar to the rules given by Craig Powers
https://www.pagat.com/euchre/bideuch.html
Notable differences (to match how I learned in high school calculus) include:
* Minimum bid o... | 34.168874 | 93 | 0.537358 | 18,980 | 0.919618 | 0 | 0 | 2,598 | 0.125878 | 0 | 0 | 4,231 | 0.205 |
d7a9af578243dd70e67e5e691e31327e0ed63c8d | 3,908 | py | Python | src/consumer/catalog-search/swagger_server/models/error_response.py | CADDE-sip/connector | 233b63df334dea67c05d379e925ebb7cc15f4b4d | [
"MIT"
] | 1 | 2022-03-29T05:44:47.000Z | 2022-03-29T05:44:47.000Z | src/provider/provenance-management/swagger_server/models/error_response.py | CADDE-sip/connector | 233b63df334dea67c05d379e925ebb7cc15f4b4d | [
"MIT"
] | null | null | null | src/provider/provenance-management/swagger_server/models/error_response.py | CADDE-sip/connector | 233b63df334dea67c05d379e925ebb7cc15f4b4d | [
"MIT"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from swagger_server.models.base_model_ import Model
from swagger_server import util
class ErrorResponse(Model):
"""NOTE: This class is auto generated by the swagg... | 25.376623 | 116 | 0.570368 | 3,761 | 0.94025 | 0 | 0 | 2,564 | 0.641 | 0 | 0 | 2,399 | 0.59975 |
d7aa0f6c9b402105d7439f34f24ee84832389102 | 1,534 | py | Python | dh_example.py | afakharany93/DH_Matrix_Python | 97e29d5b14511f68884a89852d014b010aa4e0f2 | [
"MIT"
] | null | null | null | dh_example.py | afakharany93/DH_Matrix_Python | 97e29d5b14511f68884a89852d014b010aa4e0f2 | [
"MIT"
] | null | null | null | dh_example.py | afakharany93/DH_Matrix_Python | 97e29d5b14511f68884a89852d014b010aa4e0f2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from dh import dh_solver
#from IPython.display import Latex
import sympy
from sympy import Symbol
import numpy as np
#create an object
mtb = dh_solver()
# ## adding the dh paramters
# just use obj.add() method to add a set of dh paramters in the kinematic chain, the first o... | 25.147541 | 205 | 0.730769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,062 | 0.692308 |
d7aa249c00c97006115a30d68bd7d12ff4ce1c5c | 1,646 | py | Python | src/python/pants/help/list_goals_integration_test.py | thamenato/pants | bc4a8fb3f07f6145649f02b06a1e5599aa28b36c | [
"Apache-2.0"
] | null | null | null | src/python/pants/help/list_goals_integration_test.py | thamenato/pants | bc4a8fb3f07f6145649f02b06a1e5599aa28b36c | [
"Apache-2.0"
] | null | null | null | src/python/pants/help/list_goals_integration_test.py | thamenato/pants | bc4a8fb3f07f6145649f02b06a1e5599aa28b36c | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from pants.testutil.pants_integration_test import run_pants
def test_goals() -> None:
pants_run = run_pants(["goals"])
pants_run.assert_success()
assert "to get help for a pa... | 38.27907 | 93 | 0.694411 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 703 | 0.427096 |
d7ac1e6f92f48c0869fd34f768c9769c6cff0aee | 78 | py | Python | tests/data/custom_loader2.py | cambiegroup/aizynthfinder | f5bafb2ac4749284571c05ae6df45b6f45cccd30 | [
"MIT"
] | 219 | 2020-06-15T08:04:53.000Z | 2022-03-31T09:02:47.000Z | tests/data/custom_loader2.py | cambiegroup/aizynthfinder | f5bafb2ac4749284571c05ae6df45b6f45cccd30 | [
"MIT"
] | 56 | 2020-08-14T14:50:42.000Z | 2022-03-22T12:49:06.000Z | tests/data/custom_loader2.py | cambiegroup/aizynthfinder | f5bafb2ac4749284571c05ae6df45b6f45cccd30 | [
"MIT"
] | 58 | 2020-06-15T13:36:42.000Z | 2022-03-21T06:18:02.000Z | def extract_smiles():
return ["c1ccccc1", "Cc1ccccc1", "c1ccccc1", "CCO"]
| 26 | 55 | 0.653846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0.461538 |
d7ac26c759283e3913ac9e8cb81d30bdc1dc518a | 9,903 | py | Python | proa.py | andrehigher/ProA | bd05d231f6edb1c2f87a3c067ff0cf1f2867b9b5 | [
"Apache-2.0"
] | null | null | null | proa.py | andrehigher/ProA | bd05d231f6edb1c2f87a3c067ff0cf1f2867b9b5 | [
"Apache-2.0"
] | null | null | null | proa.py | andrehigher/ProA | bd05d231f6edb1c2f87a3c067ff0cf1f2867b9b5 | [
"Apache-2.0"
] | null | null | null | """ A Python Class
A simple Python graph class to do essential operations into graph.
"""
import operator
import math
from random import choice
from collections import defaultdict
import networkx as nx
class ProA():
def __init__(self, graph):
""" Initializes util object.
"""
self.__graph =... | 36.951493 | 139 | 0.58144 | 9,699 | 0.9794 | 0 | 0 | 0 | 0 | 0 | 0 | 2,240 | 0.226194 |
d7acd6c4288f7d67024c98e799deb3358d6fb4d1 | 1,214 | py | Python | fix-sfz.py | SpotlightKid/sfzparser | 9a339274bc44931965ebb36336f43c4fa5f1e498 | [
"MIT"
] | 5 | 2017-01-10T23:22:57.000Z | 2020-05-08T06:29:38.000Z | fix-sfz.py | SpotlightKid/sfzparser | 9a339274bc44931965ebb36336f43c4fa5f1e498 | [
"MIT"
] | 2 | 2017-03-28T20:14:27.000Z | 2017-03-29T07:54:59.000Z | fix-sfz.py | SpotlightKid/sfzparser | 9a339274bc44931965ebb36336f43c4fa5f1e498 | [
"MIT"
] | 2 | 2017-03-28T20:00:42.000Z | 2020-10-24T16:39:31.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import shutil
from os.path import basename, exists, isdir, splitext
from sfzparser import SFZParser
def main(args=None):
fn = args[0]
bn = splitext(basename(fn))[0]
parser = SFZParser(fn)
fixed = False
for name, sect in parser.sections:
# fi... | 28.904762 | 93 | 0.521417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 261 | 0.214992 |
d7ad4862b9b6c2d525c8d2c7b82c06b8e22cd716 | 103 | py | Python | pytoolkit/applications/__init__.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | 26 | 2018-12-03T23:02:56.000Z | 2020-08-07T06:33:21.000Z | pytoolkit/applications/__init__.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | null | null | null | pytoolkit/applications/__init__.py | ak110/pytoolk | 8eef7e0add7bbc0ced1f1f1d82ed245388cc6684 | [
"MIT"
] | 5 | 2019-08-10T11:10:59.000Z | 2020-11-18T02:39:37.000Z | """Kerasの各種モデル。"""
# pylint: skip-file
# flake8: noqa
from . import darknet53, efficientnet, xception
| 17.166667 | 47 | 0.718447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65 | 0.555556 |
d7ada5e8230786197ee97f5ef4dfe811a9ba707b | 1,536 | py | Python | tests/rest/integration/test_common_endpoints.py | Palem1988/huobi | 400d07ea309dc7bc75fb953ddf507c3592678b05 | [
"MIT"
] | 19 | 2018-05-18T09:49:47.000Z | 2021-06-18T20:25:14.000Z | tests/rest/integration/test_common_endpoints.py | tianshanghong/huobi | b2d1a14ed83ac890cc63b513618c8f5ba2574512 | [
"MIT"
] | 14 | 2018-05-15T16:30:40.000Z | 2022-03-17T08:52:06.000Z | tests/rest/integration/test_common_endpoints.py | tianshanghong/huobi | b2d1a14ed83ac890cc63b513618c8f5ba2574512 | [
"MIT"
] | 9 | 2018-05-27T01:34:37.000Z | 2022-03-04T20:11:30.000Z | import unittest
from huobi.rest.client import HuobiRestClient
from huobi.rest.error import (
HuobiRestiApiError
)
import os
from os.path import join, dirname
from dotenv import load_dotenv
dotenv_path = join(dirname(dirname(dirname(dirname(__file__)))), '.env')
load_dotenv(dotenv_path)
class TestCommonEndpoint(... | 25.6 | 72 | 0.682292 | 1,231 | 0.801432 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0.03125 |
d7afcd461d31d762481c2b25c06e4d95251be3d2 | 8,477 | py | Python | gerritviewer/views/accounts.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | gerritviewer/views/accounts.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | gerritviewer/views/accounts.py | tivaliy/gerrit-quick-viewer | 86d6995faf2a1eeb611eb861fef2a8c856f4be86 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2017 Vitalii Kulanov
#
# 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 ... | 46.070652 | 79 | 0.575911 | 0 | 0 | 0 | 0 | 7,037 | 0.830129 | 0 | 0 | 1,673 | 0.197358 |
d7afd3383399873e7b024e174d09b83c6155eba6 | 2,928 | py | Python | infra/tools/git-push-speed.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | infra/tools/git-push-speed.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | infra/tools/git-push-speed.py | mithro/chromium-infra | d27ac0b230bedae4bc968515b02927cf9e17c2b7 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2014 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Measures the average time used by git-push command in CQ based on data from
chromium-cq-status.appspot.com."""
import argparse
import json
import logging... | 36.148148 | 79 | 0.653005 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,193 | 0.407445 |
d7b09b3899eab74c7da7d05d1a738239da6a6f8c | 93 | py | Python | backoffice/transactions/utils.py | AlejandroUPC/pythonmicroservices | 9d42bd6dfd9847ad4a8e6029e808de927292c251 | [
"MIT"
] | null | null | null | backoffice/transactions/utils.py | AlejandroUPC/pythonmicroservices | 9d42bd6dfd9847ad4a8e6029e808de927292c251 | [
"MIT"
] | null | null | null | backoffice/transactions/utils.py | AlejandroUPC/pythonmicroservices | 9d42bd6dfd9847ad4a8e6029e808de927292c251 | [
"MIT"
] | null | null | null | import random
def create_random_id():
return str(random.randint(100000,999999999999999)) | 23.25 | 54 | 0.795699 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7b1f098471299492d3a164aae5bda72d5a2c99e | 113 | py | Python | bitmovin_api_sdk/encoding/infrastructure/kubernetes/configuration/__init__.py | hofmannben/bitmovin-api-sdk-python | 71aae5cd8a31aa0ad54ca07a6f546a624e8686a9 | [
"MIT"
] | null | null | null | bitmovin_api_sdk/encoding/infrastructure/kubernetes/configuration/__init__.py | hofmannben/bitmovin-api-sdk-python | 71aae5cd8a31aa0ad54ca07a6f546a624e8686a9 | [
"MIT"
] | 1 | 2020-07-06T07:13:43.000Z | 2020-07-06T07:13:43.000Z | bitmovin_api_sdk/encoding/infrastructure/kubernetes/configuration/__init__.py | hofmannben/bitmovin-api-sdk-python | 71aae5cd8a31aa0ad54ca07a6f546a624e8686a9 | [
"MIT"
] | 1 | 2020-07-06T07:07:26.000Z | 2020-07-06T07:07:26.000Z | from bitmovin_api_sdk.encoding.infrastructure.kubernetes.configuration.configuration_api import ConfigurationApi
| 56.5 | 112 | 0.920354 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7b416d06c92253082c35eb75c67b3efcc2cb569 | 3,427 | py | Python | python/cudf/cudf/core/column/methods.py | shridharathi/cudf | 664712eb124e35dd2e8f28c287adbb48fc8049d6 | [
"Apache-2.0"
] | null | null | null | python/cudf/cudf/core/column/methods.py | shridharathi/cudf | 664712eb124e35dd2e8f28c287adbb48fc8049d6 | [
"Apache-2.0"
] | null | null | null | python/cudf/cudf/core/column/methods.py | shridharathi/cudf | 664712eb124e35dd2e8f28c287adbb48fc8049d6 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020, NVIDIA CORPORATION.
from __future__ import annotations
from typing import TYPE_CHECKING, Optional, Union, overload
from typing_extensions import Literal
import cudf
if TYPE_CHECKING:
from cudf.core.column import ColumnBase
class ColumnMethodsMixin:
_column: ColumnBase
_parent: O... | 31.440367 | 79 | 0.534578 | 3,170 | 0.925007 | 0 | 0 | 713 | 0.208054 | 0 | 0 | 387 | 0.112927 |
d7b668f8518c7dd4a692c3180e8c31313bbcc189 | 8,139 | py | Python | spa/tests/dom_helper.py | fergalmoran/dss.api | d1b9fb674b6dbaee9b46b9a3daa2027ab8d28073 | [
"BSD-2-Clause"
] | null | null | null | spa/tests/dom_helper.py | fergalmoran/dss.api | d1b9fb674b6dbaee9b46b9a3daa2027ab8d28073 | [
"BSD-2-Clause"
] | null | null | null | spa/tests/dom_helper.py | fergalmoran/dss.api | d1b9fb674b6dbaee9b46b9a3daa2027ab8d28073 | [
"BSD-2-Clause"
] | null | null | null | from selenium.common.exceptions import NoSuchElementException, TimeoutException
class DomHelper(object):
driver = None
waiter = None
def open_page(self, url):
self.driver.get(url)
def reload_page(self):
self.driver.refresh()
def print_el(self, element):
print('tag: ' + e... | 38.03271 | 154 | 0.615678 | 8,057 | 0.989925 | 0 | 0 | 0 | 0 | 0 | 0 | 798 | 0.098046 |
d7b71be599126f3487b3d6c940f7c879926c6044 | 1,491 | py | Python | gravityspytools/search/models.py | Gravity-Spy/gravityspytools | 23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0 | [
"BSD-3-Clause"
] | 4 | 2019-03-11T12:32:24.000Z | 2020-12-01T06:31:39.000Z | gravityspytools/search/models.py | johnwick211/gravityspytools | 23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0 | [
"BSD-3-Clause"
] | 19 | 2018-01-29T21:28:39.000Z | 2020-07-14T18:38:23.000Z | gravityspytools/search/models.py | johnwick211/gravityspytools | 23ef83e36ed934f7c39440bf43f4d5c7b7b4abb0 | [
"BSD-3-Clause"
] | 4 | 2018-02-02T16:47:16.000Z | 2020-12-01T06:31:49.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.contrib.auth.models import User
from django.contrib.postgres.fields import ArrayField
# Create your models here.
"""
class NewSearch(models.Model):
SINGLEVIEW = 'similarityindex'
MULTIVIEW = 'updated_simi... | 31.723404 | 174 | 0.646546 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,319 | 0.884641 |
d7b7548d8ddf5ce24d29bb3004f66eaa2e7d0d79 | 776 | py | Python | simple_menu/simple_encoder.py | mexclub/simple_menu | 9e37b2101c74f451270ceab0f50e19457562d20a | [
"MIT"
] | null | null | null | simple_menu/simple_encoder.py | mexclub/simple_menu | 9e37b2101c74f451270ceab0f50e19457562d20a | [
"MIT"
] | null | null | null | simple_menu/simple_encoder.py | mexclub/simple_menu | 9e37b2101c74f451270ceab0f50e19457562d20a | [
"MIT"
] | 3 | 2020-01-07T14:36:31.000Z | 2021-01-04T15:37:30.000Z | from machine import Pin
class simple_encoder():
def __init__(self, ra, rb, pin_irq):
self.ra = ra
self.rb = rb
self.counter = 0
self.ra.irq(trigger=pin_irq, handler=self.turn)
self.rb.irq(trigger=pin_irq, handler=self.turn)
def turn(self, pin):
change... | 32.333333 | 62 | 0.487113 | 747 | 0.962629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7b9607848de2585415aac4ac43c5891e9257879 | 7,928 | py | Python | Final/prediction/nb1.py | NaguGowda/machin-learning- | dd04f44a06d6f83e58ed6eb4d69db09620040e49 | [
"Apache-2.0"
] | null | null | null | Final/prediction/nb1.py | NaguGowda/machin-learning- | dd04f44a06d6f83e58ed6eb4d69db09620040e49 | [
"Apache-2.0"
] | null | null | null | Final/prediction/nb1.py | NaguGowda/machin-learning- | dd04f44a06d6f83e58ed6eb4d69db09620040e49 | [
"Apache-2.0"
] | null | null | null | # Example of Naive Bayes implemented from Scratch in Python
import csv
import random
import math
import xgboost as xgb
import matplotlib.pyplot as plt
import numpy as np
def loadCsv(filename):
lines = csv.reader(open(filename, "r"))
dataset = list(lines)
for i in range(len(dataset)):
dataset[i] = [flo... | 31.839357 | 101 | 0.645686 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,778 | 0.224268 |
d7ba1f7895f8a28f6a1b180ed84e6be8b3b520b7 | 7,367 | py | Python | wingstructure/data/wing.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 7 | 2019-01-02T16:47:31.000Z | 2020-10-10T10:06:15.000Z | wingstructure/data/wing.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 9 | 2019-01-13T20:11:23.000Z | 2019-10-10T21:38:58.000Z | wingstructure/data/wing.py | helo9/wingstructure | ff82eb0b87e3b5ececff39895f959bfef468e7c3 | [
"MIT"
] | 1 | 2018-12-27T14:20:36.000Z | 2018-12-27T14:20:36.000Z | from collections import namedtuple
from copy import deepcopy
import numpy as np
# data type for 3D-Coordinates
Point = namedtuple('Point', 'x y z')
# monkey patch function
def serializesection(self):
data = dict(self._asdict())
data['pos'] = dict(self.pos._asdict())
return data
class _Wing:
"""
... | 26.692029 | 102 | 0.529659 | 7,071 | 0.95878 | 0 | 0 | 2,083 | 0.282441 | 0 | 0 | 2,025 | 0.274576 |
d7ba596dc0cf678dc2c3cf189ee8dd90496c1aa2 | 3,103 | py | Python | crossdock/problems/experiment/crossdock_15_25_15_5_5.py | krerkkiat/icpr-2019-public | f3023c009f3335ce58204a45c270cfeb6ef19367 | [
"BSD-3-Clause"
] | null | null | null | crossdock/problems/experiment/crossdock_15_25_15_5_5.py | krerkkiat/icpr-2019-public | f3023c009f3335ce58204a45c270cfeb6ef19367 | [
"BSD-3-Clause"
] | null | null | null | crossdock/problems/experiment/crossdock_15_25_15_5_5.py | krerkkiat/icpr-2019-public | f3023c009f3335ce58204a45c270cfeb6ef19367 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Cross-docking truck data.
This data is generated by a generate_dataset.py script.
Created: Feb 18, 2019 at 07:30:02 PM
Copyright (c) 2022, Krerkkiat Chusap
This souce code is licensed under BSD 3-Clause "New" or "Revised" License (see LICENSE for details).
"""
from pathlib import Path
# ... | 41.373333 | 100 | 0.477602 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 373 | 0.120206 |
d7ba6d2580da27c50c90b24f37ff13d8bc2e1d42 | 1,121 | py | Python | CIFAR10/train.py | aidezone/pytorch-learning | c9c5c185e4de71503002083e271c6b19321520c1 | [
"MIT"
] | null | null | null | CIFAR10/train.py | aidezone/pytorch-learning | c9c5c185e4de71503002083e271c6b19321520c1 | [
"MIT"
] | null | null | null | CIFAR10/train.py | aidezone/pytorch-learning | c9c5c185e4de71503002083e271c6b19321520c1 | [
"MIT"
] | null | null | null | import base
# 开始真正的模型训练
import torch
import torch.nn as nn
# 实例化网络
net = base.MyCustomNet()
# 定义数据集的训练迭代轮次
max_epoch = 5
# 定义学习率
learning_rate = 0.001
# 定义loss函数、定义优化器
import torch.optim as optim
criterion = nn.CrossEntropyLoss()
optimizer = optim.SGD(net.parameters(), lr=learning_rate, momentum=0.9)
# 进行模型训练
fo... | 22.42 | 79 | 0.6405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 458 | 0.376955 |
d7bae06c160ec85487c4a5b05e1c32a823c606b8 | 14,934 | py | Python | coord2vec/models/baselines/coord2vec_model.py | jonzarecki/coord2vec | 4f267fdd87af7b3d3558ca834b88e9ab7c309c18 | [
"Apache-2.0"
] | null | null | null | coord2vec/models/baselines/coord2vec_model.py | jonzarecki/coord2vec | 4f267fdd87af7b3d3558ca834b88e9ab7c309c18 | [
"Apache-2.0"
] | null | null | null | coord2vec/models/baselines/coord2vec_model.py | jonzarecki/coord2vec | 4f267fdd87af7b3d3558ca834b88e9ab7c309c18 | [
"Apache-2.0"
] | 1 | 2021-01-25T09:21:17.000Z | 2021-01-25T09:21:17.000Z | import os
import random
from typing import List, Tuple, Callable
import torch
from ignite.contrib.handlers import ProgressBar, LRScheduler
from ignite.handlers import ModelCheckpoint
from sklearn.base import BaseEstimator, TransformerMixin
from torch import nn
from torch import optim
from torch.nn.modules.loss import _... | 47.56051 | 118 | 0.64169 | 13,371 | 0.895339 | 0 | 0 | 4,320 | 0.289273 | 0 | 0 | 3,262 | 0.218428 |
d7bb7502a2e24be8eaf3bc4172023cbaaaa79d16 | 1,716 | py | Python | PythonExercicios/ex045.py | Caio-Moretti/115.Exercicios-Python | 7e66fb1f44ea3eb4ade63f37d843242ac42ade84 | [
"MIT"
] | null | null | null | PythonExercicios/ex045.py | Caio-Moretti/115.Exercicios-Python | 7e66fb1f44ea3eb4ade63f37d843242ac42ade84 | [
"MIT"
] | null | null | null | PythonExercicios/ex045.py | Caio-Moretti/115.Exercicios-Python | 7e66fb1f44ea3eb4ade63f37d843242ac42ade84 | [
"MIT"
] | null | null | null | from random import choice
from time import sleep
jokenpo = ['Pedra', 'Papel', 'Tesoura']
jokenposter_stainger = choice(jokenpo)
jogador = int(input('Qual a sua jogada?'
'\n1. Pedra'
'\n2. Papel'
'\n3. Tesoura'
'\nEscolha: '))
print('\nJO.... | 23.189189 | 64 | 0.597902 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 557 | 0.322152 |
d7bba15bb04519ffa2576bb1d237b14798175a4e | 102 | py | Python | demo_backend/text_generator/apps.py | WallaceLiu/Web-Full-Stack-Practice | 2551ab12d7b500387cc511f1cb7428aef4d59ab4 | [
"BSD-2-Clause"
] | 33 | 2019-03-04T12:56:47.000Z | 2021-11-27T02:29:45.000Z | demo_backend/text_generator/apps.py | WallaceLiu/Web-Full-Stack-Practice | 2551ab12d7b500387cc511f1cb7428aef4d59ab4 | [
"BSD-2-Clause"
] | 1 | 2021-06-10T21:39:42.000Z | 2021-06-10T21:39:42.000Z | demo_backend/text_generator/apps.py | WallaceLiu/Web-Full-Stack-Practice | 2551ab12d7b500387cc511f1cb7428aef4d59ab4 | [
"BSD-2-Clause"
] | 9 | 2019-03-04T13:15:51.000Z | 2021-08-24T01:24:34.000Z | from django.apps import AppConfig
class TextGeneratorConfig(AppConfig):
name = 'text_generator'
| 17 | 37 | 0.784314 | 65 | 0.637255 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0.156863 |
d7bd08d0f54f08c80ef0751f3fb01d94c3153c59 | 760 | py | Python | tools/find_protoc.py | Kill-Console/xresloader | dc11f4cffecb9f9d706c91a83d5b70a1d418cfc5 | [
"MIT"
] | 219 | 2015-05-21T03:27:46.000Z | 2022-03-22T08:39:41.000Z | tools/find_protoc.py | Kill-Console/xresloader | dc11f4cffecb9f9d706c91a83d5b70a1d418cfc5 | [
"MIT"
] | 9 | 2016-04-26T07:11:26.000Z | 2021-12-30T02:45:00.000Z | tools/find_protoc.py | Kill-Console/xresloader | dc11f4cffecb9f9d706c91a83d5b70a1d418cfc5 | [
"MIT"
] | 59 | 2015-05-19T01:29:28.000Z | 2022-03-22T08:39:43.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
import os
import stat
protoc_exec = None
def find_protoc():
global protoc_exec
if protoc_exec is not None:
return protoc_exec
script_dir = os.path.dirname(os.path.realpath(__file__))
if sys.platform[0:5].lower() == "linux":
protoc_ex... | 29.230769 | 78 | 0.665789 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 0.215789 |
d7bd3f72caaeb6260431ad1a59089ba8056f0635 | 43,253 | py | Python | inventory/views.py | yellowjaguar5/lnldb | dea7708f5e4e103ef6ef968c9f3a4deaa58861c5 | [
"MIT"
] | 5 | 2017-09-25T21:24:59.000Z | 2021-12-18T17:08:13.000Z | inventory/views.py | yellowjaguar5/lnldb | dea7708f5e4e103ef6ef968c9f3a4deaa58861c5 | [
"MIT"
] | 304 | 2015-03-24T17:44:22.000Z | 2022-03-29T14:09:41.000Z | inventory/views.py | yellowjaguar5/lnldb | dea7708f5e4e103ef6ef968c9f3a4deaa58861c5 | [
"MIT"
] | 10 | 2017-10-24T02:18:12.000Z | 2021-09-20T20:40:25.000Z | from io import BytesIO
import json
import re
import requests
from django.conf import settings
from django.contrib import messages
from django.contrib.auth.decorators import login_required, permission_required
from django.core.exceptions import PermissionDenied
from django.core.paginator import EmptyPage, PageNotAnInte... | 51.369359 | 199 | 0.565464 | 0 | 0 | 0 | 0 | 32,120 | 0.742607 | 0 | 0 | 18,340 | 0.424017 |
d7c1a3f606fca343046498c63a29e95730e0801b | 2,877 | py | Python | tests/unit_tests/db_engine_specs/test_athena.py | awchisholm/superset | a169b6071209c4f6681c95486127fc43884ff6d1 | [
"Apache-2.0"
] | 2 | 2021-12-21T15:57:16.000Z | 2022-01-31T02:22:02.000Z | tests/unit_tests/db_engine_specs/test_athena.py | awchisholm/superset | a169b6071209c4f6681c95486127fc43884ff6d1 | [
"Apache-2.0"
] | 8 | 2021-11-19T11:56:39.000Z | 2022-03-02T10:50:58.000Z | tests/unit_tests/db_engine_specs/test_athena.py | awchisholm/superset | a169b6071209c4f6681c95486127fc43884ff6d1 | [
"Apache-2.0"
] | 2 | 2021-12-21T13:41:18.000Z | 2021-12-26T22:16:43.000Z | # 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 u... | 33.847059 | 120 | 0.680222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,498 | 0.520681 |
d7c1f88f81f11884d3d6e8d5e5c7d5256d7a55bf | 1,376 | py | Python | apps/accounts/tests/functional/transactions/test_confirm_email.py | victoraguilarc/xib.li | 11e61641d0b2bad148713488aa7b730c1f6cbb0c | [
"MIT"
] | 1 | 2020-05-08T09:29:08.000Z | 2020-05-08T09:29:08.000Z | apps/accounts/tests/functional/transactions/test_confirm_email.py | victoraguilarc/xib.li | 11e61641d0b2bad148713488aa7b730c1f6cbb0c | [
"MIT"
] | 1 | 2020-05-08T16:47:17.000Z | 2020-05-13T21:05:00.000Z | apps/accounts/tests/functional/transactions/test_confirm_email.py | victoraguilarc/xib.li | 11e61641d0b2bad148713488aa7b730c1f6cbb0c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
import pytest
from django.test import RequestFactory
from django.urls import reverse
from doubles import allow, expect
from rest_framework import status
from apps.accounts.models.choices import ActionCategory
from apps.accounts.services.auth import AuthService
from apps... | 32.761905 | 90 | 0.750727 | 897 | 0.65189 | 0 | 0 | 920 | 0.668605 | 0 | 0 | 92 | 0.06686 |
d7c2573fe1dc3783d90bd1abbefb46141b4afea9 | 15,240 | py | Python | data/test/test_queue.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 2,027 | 2019-11-12T18:05:48.000Z | 2022-03-31T22:25:04.000Z | data/test/test_queue.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 496 | 2019-11-12T18:13:37.000Z | 2022-03-31T10:43:45.000Z | data/test/test_queue.py | giuseppe/quay | a1b7e4b51974edfe86f66788621011eef2667e6a | [
"Apache-2.0"
] | 249 | 2019-11-12T18:02:27.000Z | 2022-03-22T12:19:19.000Z | import json
import time
import pytest
from contextlib import contextmanager
from datetime import datetime, timedelta
from functools import wraps
from data.database import QueueItem
from data.queue import (
WorkQueue,
MINIMUM_EXTENSION,
queue_items_locked,
queue_items_available,
queue_items_availa... | 34.247191 | 98 | 0.720997 | 567 | 0.037205 | 36 | 0.002362 | 428 | 0.028084 | 0 | 0 | 2,104 | 0.138058 |
d7c5b2db0f4c72202956af5eb6262f4c752182db | 24 | py | Python | fortifyapi/__init__.py | brownsec/fortifyapi | 18ce25eb0dd082dd3017f27162740cb29f7bda85 | [
"MIT"
] | null | null | null | fortifyapi/__init__.py | brownsec/fortifyapi | 18ce25eb0dd082dd3017f27162740cb29f7bda85 | [
"MIT"
] | 1 | 2021-06-25T15:18:20.000Z | 2021-06-25T15:18:20.000Z | fortifyapi/__init__.py | brownsec/fortifyapi | 18ce25eb0dd082dd3017f27162740cb29f7bda85 | [
"MIT"
] | null | null | null | __version__ = '1.0.19'
| 8 | 22 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.333333 |
d7c62fc471a3322202e63b6f1c8bacf3b6d8ab26 | 1,432 | py | Python | 18Host/TDT4110/PythonWorkspace/Oving5/Blackjack.py | MarcusTL12/School | f7302f2d390e99ad9d06004e15da032c05ec59e7 | [
"Apache-2.0"
] | null | null | null | 18Host/TDT4110/PythonWorkspace/Oving5/Blackjack.py | MarcusTL12/School | f7302f2d390e99ad9d06004e15da032c05ec59e7 | [
"Apache-2.0"
] | null | null | null | 18Host/TDT4110/PythonWorkspace/Oving5/Blackjack.py | MarcusTL12/School | f7302f2d390e99ad9d06004e15da032c05ec59e7 | [
"Apache-2.0"
] | null | null | null | import random
def shuffle(cards):
for i in range(len(cards)):
randindex = random.randrange(0, len(cards))
cards[randindex], cards[i] = cards[i], cards[randindex]
def run():
stack = [2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10, 'A'] * 4
shuffle(stack)
stack_top = 51
dealer_cards = []
your_cards = []
deale... | 20.457143 | 66 | 0.629888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 160 | 0.111732 |
d7c647bb1019176d7d7f0e17a3dee844575194ad | 11,017 | py | Python | tools/external_converter_v2/parser/operations/op_io.py | pangge/Anakin | f327267d1ee2038d92d8c704ec9f1a03cb800fc8 | [
"Apache-2.0"
] | 533 | 2018-05-18T06:14:04.000Z | 2022-03-23T11:46:30.000Z | tools/external_converter_v2/parser/operations/op_io.py | pangge/Anakin | f327267d1ee2038d92d8c704ec9f1a03cb800fc8 | [
"Apache-2.0"
] | 100 | 2018-05-26T08:32:48.000Z | 2022-03-17T03:26:25.000Z | tools/external_converter_v2/parser/operations/op_io.py | pangge/Anakin | f327267d1ee2038d92d8c704ec9f1a03cb800fc8 | [
"Apache-2.0"
] | 167 | 2018-05-18T06:14:35.000Z | 2022-02-14T01:44:20.000Z | #! /usr/bin/env python
# Copyright (c) 2017, Cuichaowen. All rights reserved.
# -*- coding: utf-8 -*-
# ops helper dictionary
class Dictionary(object):
"""
Dictionary for op param which needs to be combined
"""
def __init__(self):
self.__dict__ = {}
def set_attr(self, **kwargs):
... | 54.004902 | 108 | 0.338023 | 726 | 0.065898 | 0 | 0 | 0 | 0 | 0 | 0 | 1,040 | 0.0944 |