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90948ab3b394c7cb6e8df8160515b81630f1c311 | 4,510 | py | Python | lib/site_config.py | bruceravel/xraylarch | a8179208872d43bd23453fa0c64680e11bc2b5ed | [
"BSD-3-Clause"
] | null | null | null | lib/site_config.py | bruceravel/xraylarch | a8179208872d43bd23453fa0c64680e11bc2b5ed | [
"BSD-3-Clause"
] | null | null | null | lib/site_config.py | bruceravel/xraylarch | a8179208872d43bd23453fa0c64680e11bc2b5ed | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
site configuration for larch:
init_files: list of larch files run (in order) on startup
module_path: list of directories to search for larch code
history_file:
"""
from __future__ import print_function
import sys
import os
from os.path import exists, abspath, join
from .utils impor... | 29.86755 | 77 | 0.614634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,689 | 0.374501 |
909490610fb0cdfc5860262dba5b4c657bee2b6b | 2,898 | py | Python | gpath/path_similarity.py | insilichem/gpathfinder | e6c7df14d473857acb007efbae3cc7b4fee1b330 | [
"Apache-2.0"
] | 5 | 2020-03-22T20:21:47.000Z | 2022-03-08T07:50:25.000Z | gpath/path_similarity.py | insilichem/gpathfinder | e6c7df14d473857acb007efbae3cc7b4fee1b330 | [
"Apache-2.0"
] | 2 | 2020-04-09T10:49:26.000Z | 2022-03-08T04:37:27.000Z | gpath/path_similarity.py | insilichem/gpathfinder | e6c7df14d473857acb007efbae3cc7b4fee1b330 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
##############
# GPathFinder: Identification of ligand pathways by a multi-objective
# genetic algorithm
#
# https://github.com/insilichem/gpathfinder
#
# Copyright 2019 José-Emilio Sánchez Aparicio, Giuseppe Sciortino,
# Daniel Villadrich Herrmannsdoerfer, Pablo Orenes C... | 36.683544 | 77 | 0.689786 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,139 | 0.737078 |
9096de4357058d79ebeafc310708bd4b4560fdc0 | 1,666 | py | Python | Schedule/groupagenda/urls.py | f0rdream/party-time | 3b596043627383859042a6e70167e4304bab9a92 | [
"MIT"
] | null | null | null | Schedule/groupagenda/urls.py | f0rdream/party-time | 3b596043627383859042a6e70167e4304bab9a92 | [
"MIT"
] | null | null | null | Schedule/groupagenda/urls.py | f0rdream/party-time | 3b596043627383859042a6e70167e4304bab9a92 | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from .views import (GroupListAPIView,
GroupCreateAPIView,
AgendaListAPIView,
AgendaDetailAPIView,
AgendaCreateAPIView,
AgendaPostAPIView,
agenda_create,
... | 57.448276 | 120 | 0.614046 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 595 | 0.357143 |
90988846045a582c1eb61f51d1fdf6a5c9b664f2 | 312 | py | Python | examples/admin.py | kimbackdoo/Web-Cralwer | 6a92ec00ea2273f228b8c304cd596ad9120c4709 | [
"MIT"
] | null | null | null | examples/admin.py | kimbackdoo/Web-Cralwer | 6a92ec00ea2273f228b8c304cd596ad9120c4709 | [
"MIT"
] | null | null | null | examples/admin.py | kimbackdoo/Web-Cralwer | 6a92ec00ea2273f228b8c304cd596ad9120c4709 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
#models에서 Shop을 임폴트
from .models import Shop
from .models import Parsed_data
from .models import Img_data
from .models import Other
admin.site.register(Shop)
admin.site.register(Parsed_data)
admin.site.register(Img_data)
admin.site.register(Other)
| 22.285714 | 32 | 0.814103 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59 | 0.182099 |
909914b3df8b80013e491c569d64a1ce700cd6e4 | 630 | py | Python | main_test_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 8 | 2022-01-19T20:47:36.000Z | 2022-03-20T05:11:04.000Z | main_test_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 2 | 2022-02-17T06:14:25.000Z | 2022-02-17T08:43:57.000Z | main_test_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 5 | 2022-02-15T04:16:27.000Z | 2022-03-29T01:21:41.000Z | import torch
from models.gta import GraphTemporalEmbedding
if __name__ == '__main__':
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
x = torch.randn(32, 96, 122)
model = GraphTemporalEmbedding(122, 96, 3)
y = model(x)
print(y.size())
# model = AdaGraphSage(num_nodes=10, s... | 39.375 | 78 | 0.647619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 339 | 0.538095 |
909961221deb2afd6f990975d13c32b0c0400f10 | 638 | py | Python | daiquiri_client/auth.py | aipescience/django-daiquiri-client | 30521dc7393b65ef51a5fd42b63b1dece46a2d5c | [
"Apache-2.0"
] | null | null | null | daiquiri_client/auth.py | aipescience/django-daiquiri-client | 30521dc7393b65ef51a5fd42b63b1dece46a2d5c | [
"Apache-2.0"
] | null | null | null | daiquiri_client/auth.py | aipescience/django-daiquiri-client | 30521dc7393b65ef51a5fd42b63b1dece46a2d5c | [
"Apache-2.0"
] | null | null | null | class Auth():
def __init__(self, client):
self.client = client
def get_profiles(self):
return self.client.get('/auth/api/profiles/', {'page_size': 10000})['results']
def get_groups(self):
return self.client.get('/auth/api/groups/')
def get_group_map(self):
return {gro... | 31.9 | 91 | 0.639498 | 637 | 0.998433 | 0 | 0 | 0 | 0 | 0 | 0 | 139 | 0.217868 |
909acbc6fed7077e7d615e7ea5b4fd6ba9538288 | 954 | py | Python | CSS/spiraleFile.py | NsiLycee/premiere | 2814a21860e227e2db01ea201b1c4d99723a0562 | [
"Unlicense"
] | null | null | null | CSS/spiraleFile.py | NsiLycee/premiere | 2814a21860e227e2db01ea201b1c4d99723a0562 | [
"Unlicense"
] | null | null | null | CSS/spiraleFile.py | NsiLycee/premiere | 2814a21860e227e2db01ea201b1c4d99723a0562 | [
"Unlicense"
] | null | null | null | '''
Auteur : Joël Dendaletche
But : tracé une figure géométrique à l'aide de la bibliothèque Turtle
Le projet utilise l'objet file pour itérer le calcul de chaque nouveau point
Les coordonnées des points d'un polygone sont placés dans une file
l'algorithme consiste à calcule... | 45.428571 | 121 | 0.697065 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 793 | 0.815844 |
909acc24e11a5c6671af7463f6c79ae6bbfe3286 | 20,420 | py | Python | network/modules/spconv_unet.py | alexisgroshenry/NPM3D_DSNet | d1a2ec071728dcb3c733ecdee3a27f4534b67f33 | [
"MIT"
] | null | null | null | network/modules/spconv_unet.py | alexisgroshenry/NPM3D_DSNet | d1a2ec071728dcb3c733ecdee3a27f4534b67f33 | [
"MIT"
] | null | null | null | network/modules/spconv_unet.py | alexisgroshenry/NPM3D_DSNet | d1a2ec071728dcb3c733ecdee3a27f4534b67f33 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
# author: Xinge
# @file: spconv_unet.py
# @time: 2020/06/22 15:01
import time
import numpy as np
import spconv
import torch
import torch.nn.functional as F
from torch import nn
def conv3x3(in_planes, out_planes, stride=1, indice_key=None):
return spconv.SubMConv3d(in_planes, out_planes, ker... | 41.588595 | 145 | 0.645495 | 18,620 | 0.911851 | 0 | 0 | 0 | 0 | 0 | 0 | 3,854 | 0.188737 |
909ad865d21f2537f3949dbc416292efd7136d09 | 45 | py | Python | scivision_test_plugin/__init__.py | acocac/scivision-test-plugin | 0ebeabe256287a83d8a268649085f18dc3ddfc9f | [
"BSD-3-Clause"
] | null | null | null | scivision_test_plugin/__init__.py | acocac/scivision-test-plugin | 0ebeabe256287a83d8a268649085f18dc3ddfc9f | [
"BSD-3-Clause"
] | null | null | null | scivision_test_plugin/__init__.py | acocac/scivision-test-plugin | 0ebeabe256287a83d8a268649085f18dc3ddfc9f | [
"BSD-3-Clause"
] | null | null | null | from .model import DummyModel, ImageNetModel
| 22.5 | 44 | 0.844444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
909b082c85db7f41252c1dd15a6d1058abd2c236 | 2,330 | py | Python | prml/dimreduction/bayesian_pca.py | andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | [
"MIT"
] | null | null | null | prml/dimreduction/bayesian_pca.py | andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | [
"MIT"
] | null | null | null | prml/dimreduction/bayesian_pca.py | andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | [
"MIT"
] | null | null | null | import numpy as np
from prml.dimreduction.pca import PCA
class BayesianPCA(PCA):
def fit(self, X, iter_max=100, initial="random"):
"""
empirical bayes estimation of pca parameters
Parameters
----------
X : (sample_size, n_features) ndarray
input data
i... | 36.40625 | 101 | 0.529185 | 2,270 | 0.974249 | 0 | 0 | 0 | 0 | 0 | 0 | 731 | 0.313734 |
909b242da63999e1207271fb27d3b19ba2f0e8e9 | 11,492 | py | Python | mne/time_frequency/psd.py | jnvandermeer/mne-python | 143a1fbfd2a68a0ce8d700da9299564de0b92334 | [
"BSD-3-Clause"
] | null | null | null | mne/time_frequency/psd.py | jnvandermeer/mne-python | 143a1fbfd2a68a0ce8d700da9299564de0b92334 | [
"BSD-3-Clause"
] | 2 | 2016-02-27T13:43:15.000Z | 2018-07-18T19:44:45.000Z | mne/time_frequency/psd.py | jnvandermeer/mne-python | 143a1fbfd2a68a0ce8d700da9299564de0b92334 | [
"BSD-3-Clause"
] | 1 | 2017-03-05T20:44:07.000Z | 2017-03-05T20:44:07.000Z | # Authors : Alexandre Gramfort, alexandre.gramfort@telecom-paristech.fr (2011)
# Denis A. Engemann <denis.engemann@gmail.com>
# License : BSD 3-clause
import numpy as np
from ..parallel import parallel_func
from ..io.pick import _pick_data_channels
from ..utils import logger, verbose, _time_mask
from ..fixe... | 38.563758 | 79 | 0.62661 | 0 | 0 | 0 | 0 | 8,860 | 0.770971 | 0 | 0 | 7,195 | 0.626088 |
909b464aebeffe98a01bbc3d1080af46d979ef36 | 5,690 | py | Python | culturebank/models.py | Anaphory/culturebank | 9a408cb25fafcb14bbdd96278bebfbc898d32d00 | [
"Apache-2.0"
] | null | null | null | culturebank/models.py | Anaphory/culturebank | 9a408cb25fafcb14bbdd96278bebfbc898d32d00 | [
"Apache-2.0"
] | null | null | null | culturebank/models.py | Anaphory/culturebank | 9a408cb25fafcb14bbdd96278bebfbc898d32d00 | [
"Apache-2.0"
] | null | null | null | from zope.interface import implementer
from sqlalchemy import (
Column,
String,
Integer,
Float,
ForeignKey,
CheckConstraint,
)
from sqlalchemy.orm import relationship, backref
from clld import interfaces
from clld.db.meta import Base, CustomModelMixin
from clld.db.versioned import Versioned
fro... | 38.187919 | 100 | 0.727065 | 4,801 | 0.843761 | 0 | 0 | 5,063 | 0.889807 | 0 | 0 | 708 | 0.124429 |
909b5fdd491dd149598afad1dcf2d6d1cdc7dcc1 | 600 | py | Python | src/models/layers/feature.py | icycookies/dd_benchmark | 5551c0654d3dc30d72b817096d0877a02f28f116 | [
"MIT"
] | 2 | 2021-08-01T13:02:41.000Z | 2021-08-01T14:39:44.000Z | src/models/layers/feature.py | icycookies/dd_benchmark | 5551c0654d3dc30d72b817096d0877a02f28f116 | [
"MIT"
] | null | null | null | src/models/layers/feature.py | icycookies/dd_benchmark | 5551c0654d3dc30d72b817096d0877a02f28f116 | [
"MIT"
] | 1 | 2021-08-01T14:39:45.000Z | 2021-08-01T14:39:45.000Z | import torch
import torch.nn as nn
class MLP(nn.Module):
def __init__(self, num_features, hidden_sizes, dropout):
super().__init__()
self.layers = nn.ModuleList(
[nn.Linear(num_features, hidden_sizes[0])] +
[nn.Linear(hidden_sizes[i], hidden_sizes[i + 1]) for i in range(len(... | 31.578947 | 99 | 0.576667 | 564 | 0.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
909b69d30b3ae1f1f238868bd4ff4b5d2afdace9 | 27,662 | py | Python | src/kanone/adapter/tx.py | doncatnip/kanone | 1f149f69f4f9dbb49dd29153fd0366cde68c2b85 | [
"Unlicense"
] | 5 | 2015-06-14T22:56:10.000Z | 2017-05-29T07:59:35.000Z | src/kanone/adapter/tx.py | doncatnip/kanone | 1f149f69f4f9dbb49dd29153fd0366cde68c2b85 | [
"Unlicense"
] | 5 | 2019-03-19T13:39:26.000Z | 2020-11-03T20:01:46.000Z | src/kanone/adapter/tx.py | doncatnip/kanone | 1f149f69f4f9dbb49dd29153fd0366cde68c2b85 | [
"Unlicense"
] | null | null | null | """ Twisted adapter for Kanone """
from twisted.python.failure import Failure
from twisted.internet import defer
from ..lib import Invalid
from ..util import varargs2kwargs
import logging, sys
log = logging.getLogger( __name__ )
# hacky and redundant, but it'll do for now ..
# TODO: move to proper twisted specific c... | 30.431243 | 132 | 0.521654 | 0 | 0 | 24,312 | 0.878895 | 2,476 | 0.089509 | 0 | 0 | 817 | 0.029535 |
909bb64980267ae4a08d2d7a1f0a4d2581917497 | 1,579 | py | Python | sandbox/graph-size.py | maarten1983/khmer | 417aaa57f0659685c01887a6910de1c08d0a73e5 | [
"BSD-3-Clause"
] | 1 | 2019-11-02T15:12:44.000Z | 2019-11-02T15:12:44.000Z | sandbox/graph-size.py | ibest/khmer | fbc307abd64363b329745709846d77444ce0c025 | [
"BSD-3-Clause"
] | null | null | null | sandbox/graph-size.py | ibest/khmer | fbc307abd64363b329745709846d77444ce0c025 | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python2
#
# This file is part of khmer, http://github.com/ged-lab/khmer/, and is
# Copyright (C) Michigan State University, 2009-2013. It is licensed under
# the three-clause BSD license; see doc/LICENSE.txt.
# Contact: khmer-project@idyll.org
#
import khmer
import sys
import screed
import os.path
from ... | 23.567164 | 76 | 0.664345 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 479 | 0.303357 |
909c067225e930569a068986504ae450bf7106ff | 3,187 | py | Python | ferry/crawler/fetch_demand.py | coursetable/ferry | f369b9588557c359af8589f2575a03493d6b08b6 | [
"MIT"
] | 4 | 2020-11-12T19:37:06.000Z | 2021-12-14T01:38:39.000Z | ferry/crawler/fetch_demand.py | coursetable/ferry | f369b9588557c359af8589f2575a03493d6b08b6 | [
"MIT"
] | 96 | 2020-09-08T05:17:17.000Z | 2022-03-31T23:12:51.000Z | ferry/crawler/fetch_demand.py | coursetable/ferry | f369b9588557c359af8589f2575a03493d6b08b6 | [
"MIT"
] | 2 | 2021-03-03T23:02:40.000Z | 2021-06-17T23:33:05.000Z | """
Fetches demand statistics.
Modified from Dan Zhao
Original article:
https://yaledailynews.com/blog/2020/01/10/yales-most-popular-courses/
Github:
https://github.com/iamdanzhao/yale-popular-classes
README:
https://github.com/iamdanzhao/yale-popular-classes/blob/master/data-guide/course_data_guide.md
"""
import ... | 29.509259 | 94 | 0.671478 | 168 | 0.052714 | 0 | 0 | 0 | 0 | 0 | 0 | 1,151 | 0.361155 |
909dc9969f5cc018e88da564d8e3efacb5bc1be6 | 406 | py | Python | migrate_db.py | qxf2/interview-scheduler | ef17350cec70c66c7136671789ed188231a5fcba | [
"MIT"
] | 2 | 2021-05-06T17:02:21.000Z | 2021-05-19T19:41:21.000Z | migrate_db.py | qxf2/interview-scheduler | ef17350cec70c66c7136671789ed188231a5fcba | [
"MIT"
] | 9 | 2019-08-01T18:49:35.000Z | 2021-04-01T12:52:35.000Z | migrate_db.py | qxf2/interview-scheduler | ef17350cec70c66c7136671789ed188231a5fcba | [
"MIT"
] | 18 | 2019-07-23T16:26:17.000Z | 2022-01-21T10:33:41.000Z | from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from qxf2_scheduler import models
from qxf2_scheduler import db
from qxf2_scheduler.__init__ import app
from flask_script import Manager
from flask_migrate import Migrate,MigrateCommand
migrate=Migrate(app, db,render_as_batch=True)
manager=Manager(app)
m... | 25.375 | 48 | 0.830049 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.034483 |
909e429cd3c93b342a1a4e97e4084847d6b07a78 | 3,476 | py | Python | main.py | tarunsinghal92/indeedscrapperlatest | 2c7fd920d115764192bf5f7bf8fd3d30aa6ec2b4 | [
"MIT"
] | 15 | 2019-07-31T11:48:28.000Z | 2022-02-25T13:55:23.000Z | main.py | tarunsinghal92/indeedscrapperlatest | 2c7fd920d115764192bf5f7bf8fd3d30aa6ec2b4 | [
"MIT"
] | null | null | null | main.py | tarunsinghal92/indeedscrapperlatest | 2c7fd920d115764192bf5f7bf8fd3d30aa6ec2b4 | [
"MIT"
] | 14 | 2019-02-20T21:44:39.000Z | 2022-02-16T11:35:27.000Z | # import packages
import requests
import pandas as pd
import time
from functions import *
# limit per sity
max_results_per_city = 100
# db of city
city_set = ['New+York','Toronto','Las+Vegas']
# job roles
job_set = ['business+analyst','data+scientist']
# file num
file = 1
# from where to skip
SKIPPER = 0
# lo... | 29.709402 | 183 | 0.467779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,032 | 0.296893 |
909f78a9a426fedd3532cae3c362b0e27f684e37 | 4,973 | py | Python | L0_serial.py | RL-WWW/ISST | 42b656686fa9660794007a0bc00a7177937410e9 | [
"BSD-3-Clause"
] | 5 | 2021-01-24T13:19:45.000Z | 2021-04-05T15:49:35.000Z | L0_serial.py | RL-WWW/ISST | 42b656686fa9660794007a0bc00a7177937410e9 | [
"BSD-3-Clause"
] | null | null | null | L0_serial.py | RL-WWW/ISST | 42b656686fa9660794007a0bc00a7177937410e9 | [
"BSD-3-Clause"
] | null | null | null | # Import Libraries
import numpy as np
import cv2
import argparse
import time
# Import User Libraries
import L0_helpers
# Image File Path
image_r = "images/flowers.jpg"
image_w = "out_serial.png"
# L0 minimization parameters
kappa = 2.0
_lambda = 2e-2
# Verbose output
verbose = False
def L0_smooth(input_path, outpu... | 26.593583 | 90 | 0.575508 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,424 | 0.286346 |
909f8409bcfac0d98c71ec79e9110765c9b7b295 | 2,565 | py | Python | data_processing/signal_downsampling.py | HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data | 7149e78736611f07a1c7c4adbdf24ae03011e549 | [
"MIT"
] | 9 | 2020-09-26T23:52:49.000Z | 2021-10-04T00:08:23.000Z | data_processing/signal_downsampling.py | HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data | 7149e78736611f07a1c7c4adbdf24ae03011e549 | [
"MIT"
] | null | null | null | data_processing/signal_downsampling.py | HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data | 7149e78736611f07a1c7c4adbdf24ae03011e549 | [
"MIT"
] | 2 | 2021-04-06T13:02:24.000Z | 2021-12-06T09:03:24.000Z | ### Interpretable cnn for big five personality traits using audio data ###
### This script downsamples 41000 kz signal into 4000 kz signal ###
from __future__ import absolute_import, division, print_function
import pathlib
import random
import csv
import numpy as np
from scipy.io import wavfile
import tensorflow as t... | 29.482759 | 121 | 0.670955 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 471 | 0.183626 |
90a1865751cb26e76fdfe2385bd5686fe05ca8bb | 1,858 | py | Python | ai_flow/model_center/entity/_model_repo_object.py | flink-extended/ai-flow | d1427a243097d94d77fedbe1966500ae26975a13 | [
"Apache-2.0"
] | 79 | 2021-10-15T07:32:27.000Z | 2022-03-28T04:10:19.000Z | ai_flow/model_center/entity/_model_repo_object.py | flink-extended/ai-flow | d1427a243097d94d77fedbe1966500ae26975a13 | [
"Apache-2.0"
] | 153 | 2021-10-15T05:23:46.000Z | 2022-02-23T06:07:10.000Z | ai_flow/model_center/entity/_model_repo_object.py | flink-extended/ai-flow | d1427a243097d94d77fedbe1966500ae26975a13 | [
"Apache-2.0"
] | 23 | 2021-10-15T02:36:37.000Z | 2022-03-17T02:59:27.000Z | #
# Copyright 2022 The AI Flow 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 or agreed to in w... | 28.584615 | 91 | 0.697524 | 1,089 | 0.586114 | 182 | 0.097955 | 298 | 0.160388 | 0 | 0 | 655 | 0.35253 |
90a2c66069c33df69aa851c8c0f49466dd43d14e | 2,127 | py | Python | model_search/search/common_test.py | LinqCod/model_search | d90bc39994bc2a5f5028035ac954f796eda03310 | [
"Apache-2.0"
] | null | null | null | model_search/search/common_test.py | LinqCod/model_search | d90bc39994bc2a5f5028035ac954f796eda03310 | [
"Apache-2.0"
] | null | null | null | model_search/search/common_test.py | LinqCod/model_search | d90bc39994bc2a5f5028035ac954f796eda03310 | [
"Apache-2.0"
] | null | null | null | # 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 32.227273 | 74 | 0.649741 | 1,299 | 0.610719 | 0 | 0 | 901 | 0.423601 | 0 | 0 | 963 | 0.45275 |
90a3029cbc5a3d0ba677696927ab7f1da401c62e | 588 | py | Python | model-builder/skrutil/deprecate_util.py | DaYeSquad/worktilerwdemo | 03fbc18dcba4881628cf790f2f0cd7e6f9aa130f | [
"MIT"
] | 5 | 2016-05-13T15:23:41.000Z | 2019-05-29T08:23:25.000Z | model-builder/skrutil/deprecate_util.py | DaYeSquad/worktilerwdemo | 03fbc18dcba4881628cf790f2f0cd7e6f9aa130f | [
"MIT"
] | null | null | null | model-builder/skrutil/deprecate_util.py | DaYeSquad/worktilerwdemo | 03fbc18dcba4881628cf790f2f0cd7e6f9aa130f | [
"MIT"
] | 2 | 2016-06-08T08:22:42.000Z | 2019-02-25T08:46:54.000Z | import warnings
def deprecated(func):
"""This is a decorator which can be used to mark functions
as deprecated. It will result in a warning being emmitted
when the function is used."""
def newFunc(*args, **kwargs):
warnings.simplefilter('always', DeprecationWarning)
warnings.warn("Call... | 34.588235 | 72 | 0.681973 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.331633 |
90a3bca5369f1537b322d1766cb9151ec9a0af0c | 3,181 | py | Python | models.py | sheldonjinqi/CIS680_BicycleGAN | a1d32ad9ba39c61e07838f5b6391b6d2ab0765c4 | [
"MIT"
] | null | null | null | models.py | sheldonjinqi/CIS680_BicycleGAN | a1d32ad9ba39c61e07838f5b6391b6d2ab0765c4 | [
"MIT"
] | null | null | null | models.py | sheldonjinqi/CIS680_BicycleGAN | a1d32ad9ba39c61e07838f5b6391b6d2ab0765c4 | [
"MIT"
] | null | null | null | from torchvision.models import resnet18
import torch.nn.functional as F
import torch.nn as nn
import numpy as np
import torch
import pdb
##############################
# Encoder
##############################
class Encoder(nn.Module):
def __init__(self, latent_dim):
super(Encoder, self).__init__()
... | 30.586538 | 106 | 0.563345 | 2,781 | 0.874253 | 0 | 0 | 0 | 0 | 0 | 0 | 1,941 | 0.610185 |
90a433b0faab6ec973b072f69d11760a7c0bb8ef | 3,381 | py | Python | oem_storage_file/main.py | OpenEntityMap/oem-storage-file | cce7e3979c413273aaa224799cfe6b86bad7627e | [
"BSD-3-Clause"
] | null | null | null | oem_storage_file/main.py | OpenEntityMap/oem-storage-file | cce7e3979c413273aaa224799cfe6b86bad7627e | [
"BSD-3-Clause"
] | null | null | null | oem_storage_file/main.py | OpenEntityMap/oem-storage-file | cce7e3979c413273aaa224799cfe6b86bad7627e | [
"BSD-3-Clause"
] | null | null | null | from oem_framework.models.core import ModelRegistry
from oem_framework.plugin import Plugin
from oem_framework.storage import ProviderStorage
from oem_storage_file.core.base import BaseFileStorage
from oem_storage_file.database import DatabaseFileStorage
import appdirs
import os
class ProviderFileStorage(ProviderSto... | 27.266129 | 89 | 0.615794 | 3,097 | 0.916001 | 0 | 0 | 480 | 0.14197 | 0 | 0 | 392 | 0.115942 |
90a450c6bb8a1da60bd0c096428df1ba30321115 | 1,565 | py | Python | scripts/slave/recipe_modules/v8/gclient_config.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | null | null | null | scripts/slave/recipe_modules/v8/gclient_config.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | null | null | null | scripts/slave/recipe_modules/v8/gclient_config.py | bopopescu/chromium-build | f8e42c70146c1b668421ee6358dc550a955770a3 | [
"BSD-3-Clause"
] | 1 | 2020-07-22T09:16:32.000Z | 2020-07-22T09:16:32.000Z | # Copyright 2013 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.
import DEPS
CONFIG_CTX = DEPS['gclient'].CONFIG_CTX
ChromiumGitURL = DEPS['gclient'].config.ChromiumGitURL
@CONFIG_CTX()
def v8(c):
soln = c.solutions.ad... | 30.686275 | 79 | 0.709904 | 0 | 0 | 0 | 0 | 1,280 | 0.817891 | 0 | 0 | 717 | 0.458147 |
90a4ede6bfdb471d923545a3e19b34b37a9df384 | 7,038 | py | Python | parser/fase2/team28/models/Other/funcion.py | jossiebk/tytus | de6ce433d61609d4eaa5d0dbbd2ce13aaa573544 | [
"MIT"
] | null | null | null | parser/fase2/team28/models/Other/funcion.py | jossiebk/tytus | de6ce433d61609d4eaa5d0dbbd2ce13aaa573544 | [
"MIT"
] | null | null | null | parser/fase2/team28/models/Other/funcion.py | jossiebk/tytus | de6ce433d61609d4eaa5d0dbbd2ce13aaa573544 | [
"MIT"
] | null | null | null | from models.instructions.shared import Instruction
from models.Other.ambito import Ambito
from controllers.three_address_code import ThreeAddressCode
from controllers.procedures import Procedures
from models.instructions.Expression.expression import DATA_TYPE, PrimitiveData
class Parametro(Instruction):
def __ini... | 34.331707 | 90 | 0.596903 | 6,753 | 0.959506 | 0 | 0 | 0 | 0 | 0 | 0 | 895 | 0.127167 |
90a5135d7b2c7cb2a555e6f77c99a227c0fdaa11 | 2,386 | py | Python | podcast/download.py | jessstringham/podcasts | 04de6cc5cd7d27ee6ab56c0c7950526b606ec201 | [
"MIT"
] | 1 | 2018-05-08T09:26:45.000Z | 2018-05-08T09:26:45.000Z | podcast/download.py | jessstringham/podcasts | 04de6cc5cd7d27ee6ab56c0c7950526b606ec201 | [
"MIT"
] | null | null | null | podcast/download.py | jessstringham/podcasts | 04de6cc5cd7d27ee6ab56c0c7950526b606ec201 | [
"MIT"
] | 1 | 2020-12-13T18:04:00.000Z | 2020-12-13T18:04:00.000Z | import typing
import urllib.error
import urllib.request
from podcast.files import download_location
from podcast.info import build_info_content
from podcast.info import InfoContent
from podcast.models import Channel
from podcast.models import get_podcast_audio_link
from podcast.models import NewStatus
from podcast.mod... | 33.605634 | 79 | 0.723386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 575 | 0.240989 |
90a586abf2c437f6ccd419108bdf5f296a7fed74 | 5,630 | py | Python | tests/model/test_ocrd_page.py | j23d/core | b063737a5cc4701fb507328b5940919848934ef1 | [
"Apache-2.0"
] | null | null | null | tests/model/test_ocrd_page.py | j23d/core | b063737a5cc4701fb507328b5940919848934ef1 | [
"Apache-2.0"
] | null | null | null | tests/model/test_ocrd_page.py | j23d/core | b063737a5cc4701fb507328b5940919848934ef1 | [
"Apache-2.0"
] | null | null | null | from tests.base import TestCase, main, assets
from ocrd_models.ocrd_page import (
AlternativeImageType,
PcGtsType,
PageType,
TextRegionType,
TextLineType,
WordType,
GlyphType,
parseString,
parse,
to_xml
)
simple_page = """\
<PcGts xmlns="http://schema.primaresearch.org/PAGE/gt... | 43.307692 | 298 | 0.649556 | 3,655 | 0.649085 | 0 | 0 | 0 | 0 | 0 | 0 | 2,694 | 0.478423 |
90a811a1c9219aef26a6c2b2f33c1210f92378af | 643 | py | Python | athena/athena/algorithms/NetworkAnalysis/Components.py | aculich/openmappr | c9e5b4cfc974a6eda9cbc8a0ea6f8a96ce35efba | [
"MIT"
] | 19 | 2018-04-05T23:33:33.000Z | 2022-03-24T00:18:20.000Z | athena/athena/algorithms/NetworkAnalysis/Components.py | aculich/openmappr | c9e5b4cfc974a6eda9cbc8a0ea6f8a96ce35efba | [
"MIT"
] | 13 | 2018-01-10T23:31:11.000Z | 2018-07-20T12:55:02.000Z | athena/athena/algorithms/NetworkAnalysis/Components.py | aculich/openmappr | c9e5b4cfc974a6eda9cbc8a0ea6f8a96ce35efba | [
"MIT"
] | 5 | 2018-02-12T05:33:19.000Z | 2019-09-21T22:43:02.000Z | # -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 13 15:35:50 2014
@author: rich
"""
import networkx as nx
# assign component IDs to graph components, id=0 is giant component
def componentIDs(network):
# networkx algo only works on undirected network
if isinstance(network, nx.DiGraph):
... | 26.791667 | 82 | 0.659409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 250 | 0.388802 |
90a821eadcd600fc9ceb85786e62d6539b2c7ae3 | 9,603 | py | Python | tools/netconf.py | jpfluger/radiucal | 42666478baaa93da05fdc5ab8f3b53df68b993e6 | [
"BSD-3-Clause"
] | 5 | 2019-12-15T09:47:02.000Z | 2022-03-16T03:18:55.000Z | tools/netconf.py | jpfluger/radiucal | 42666478baaa93da05fdc5ab8f3b53df68b993e6 | [
"BSD-3-Clause"
] | null | null | null | tools/netconf.py | jpfluger/radiucal | 42666478baaa93da05fdc5ab8f3b53df68b993e6 | [
"BSD-3-Clause"
] | 1 | 2021-03-27T08:11:53.000Z | 2021-03-27T08:11:53.000Z | #!/usr/bin/python
"""composes the config from user definitions."""
import argparse
import os
import users
import users.__config__
import importlib
import csv
# file indicators
IND_DELIM = "_"
USER_INDICATOR = "user" + IND_DELIM
VLAN_INDICATOR = "vlan" + IND_DELIM
AUTH_PHASE_ONE = "PEAP"
AUTH_PHASE_TWO = "MSCHAPV2"
c... | 30.389241 | 79 | 0.53754 | 4,029 | 0.419556 | 808 | 0.08414 | 0 | 0 | 0 | 0 | 1,653 | 0.172134 |
90a9c694ad7055aeb7e214346c75ba596c28d602 | 3,673 | py | Python | twitter_scrapper.py | juanlucruz/SportEventLocator | 1ac8236f9fdd60917b9a7ee6bb6ca1fa5f6fa71e | [
"Apache-2.0"
] | null | null | null | twitter_scrapper.py | juanlucruz/SportEventLocator | 1ac8236f9fdd60917b9a7ee6bb6ca1fa5f6fa71e | [
"Apache-2.0"
] | null | null | null | twitter_scrapper.py | juanlucruz/SportEventLocator | 1ac8236f9fdd60917b9a7ee6bb6ca1fa5f6fa71e | [
"Apache-2.0"
] | null | null | null | # Import the Twython class
from twython import Twython, TwythonStreamer
import json
# import pandas as pd
import csv
import datetime
def process_tweet(tweet):
# Filter out unwanted data
d = {}
d['hashtags'] = [hashtag['text'] for hashtag in tweet['entities']['hashtags']]
try:
for key in {
... | 33.390909 | 88 | 0.58263 | 865 | 0.235502 | 0 | 0 | 0 | 0 | 0 | 0 | 1,999 | 0.544242 |
90aa48820bf97867a9816268e697f65885c29466 | 389 | py | Python | tools/bin/filter_cassandra_attributes.py | fruch/scylla-tools-java | 3fdce3d357b64402799742f61d3cc33b6f8fcfbb | [
"Apache-2.0"
] | null | null | null | tools/bin/filter_cassandra_attributes.py | fruch/scylla-tools-java | 3fdce3d357b64402799742f61d3cc33b6f8fcfbb | [
"Apache-2.0"
] | null | null | null | tools/bin/filter_cassandra_attributes.py | fruch/scylla-tools-java | 3fdce3d357b64402799742f61d3cc33b6f8fcfbb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python2
import sys;
from yaml import load, dump, load_all
from cassandra_attributes import *
def main():
attributes = dict()
for i in range(1, len(sys.argv)):
attributes.update(load(open(sys.argv[i], 'r')))
print dump(dict(filter(lambda (a, b): a in cassandra_attributes, attributes.... | 25.933333 | 109 | 0.637532 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.089974 |
90aa5dbc6e140871e083e339d177b3478bf2b89d | 526 | py | Python | ci/test_filename.py | climateamante/linode.docs | 9a2d26db11ab439f354bb9027eb62eda7453ff0b | [
"CC-BY-4.0"
] | null | null | null | ci/test_filename.py | climateamante/linode.docs | 9a2d26db11ab439f354bb9027eb62eda7453ff0b | [
"CC-BY-4.0"
] | null | null | null | ci/test_filename.py | climateamante/linode.docs | 9a2d26db11ab439f354bb9027eb62eda7453ff0b | [
"CC-BY-4.0"
] | null | null | null | import pytest
import itertools
# Cartesian product of file names and extensions
# e.g. README.txt, README.md, CHANGELOG.txt, CHANGELOG.md ...
file_extensions = ['txt', 'md']
names = ['README', 'CHANGELOG', 'CONTRIBUTING', 'LICENSE', 'CODE_OF_CONDUCT']
exempt_files = [('.'.join(x)) for x in itertools.product(names, fil... | 35.066667 | 81 | 0.709125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 210 | 0.39924 |
90aa7fec2a73694bfef5aa1b7617bf2c7fb170fa | 1,570 | py | Python | test/test_sshtransport.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 76 | 2015-01-24T19:18:31.000Z | 2021-03-11T11:17:14.000Z | test/test_sshtransport.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 8 | 2015-01-24T18:59:57.000Z | 2017-06-07T13:07:34.000Z | test/test_sshtransport.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 21 | 2015-01-24T18:56:52.000Z | 2021-03-10T14:33:14.000Z | import sys
import unittest
sys.path.append("../main")
from sshtransport import *
class FakeSocket(object):
def __init__(self):
self.recv_buffer = b""
self.send_buffer = b""
def recv(self, n):
resp = self.recv_buffer[:n]
self.recv_buffer = self.recv_buffer[n:]
return r... | 32.708333 | 107 | 0.658599 | 1,481 | 0.943312 | 0 | 0 | 0 | 0 | 0 | 0 | 306 | 0.194904 |
90ab146abe91415bc0bc793fedf75c04fb9406e9 | 7,357 | py | Python | activity-classification/main_scenario_baseline.py | bstollnitz/grad-school-portfolio | 484e00cc4857de2eda6848f61a1e6fbf26309d42 | [
"MIT"
] | 2 | 2019-10-24T16:40:44.000Z | 2020-06-21T03:56:18.000Z | activity-classification/main_scenario_baseline.py | bstollnitz/portfolio | 484e00cc4857de2eda6848f61a1e6fbf26309d42 | [
"MIT"
] | null | null | null | activity-classification/main_scenario_baseline.py | bstollnitz/portfolio | 484e00cc4857de2eda6848f61a1e6fbf26309d42 | [
"MIT"
] | null | null | null | import random
import time
from pathlib import Path
from typing import Dict, List, Tuple
import numpy as np
import torch
from torch.utils import data
from torch.utils.tensorboard import SummaryWriter
import utils_graph
import utils_io
import utils_nn
from feed_forward import FeedForward
from hyperparameters import Hyp... | 35.887805 | 85 | 0.703819 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,150 | 0.292239 |
90ab4c6f6273b660fe6334ebc9b6fb8fce97ce8e | 868 | py | Python | 2020/day04/day4_part1.py | dstjacques/AdventOfCode | 75bfb46a01487430d552ea827f0cf8ae3368f686 | [
"MIT"
] | null | null | null | 2020/day04/day4_part1.py | dstjacques/AdventOfCode | 75bfb46a01487430d552ea827f0cf8ae3368f686 | [
"MIT"
] | null | null | null | 2020/day04/day4_part1.py | dstjacques/AdventOfCode | 75bfb46a01487430d552ea827f0cf8ae3368f686 | [
"MIT"
] | null | null | null | input = """
ecl:gry pid:860033327 eyr:2020 hcl:#fffffd
byr:1937 iyr:2017 cid:147 hgt:183cm
iyr:2013 ecl:amb cid:350 eyr:2023 pid:028048884
hcl:#cfa07d byr:1929
hcl:#ae17e1 iyr:2013
eyr:2024
ecl:brn pid:760753108 byr:1931
hgt:179cm
hcl:#cfa07d eyr:2025 pid:166559648
iyr:2011 ecl:brn hgt:59in
"""
def validate(passpor... | 25.529412 | 122 | 0.615207 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 346 | 0.398618 |
90ad0d873a774414aef935d258105887a6980e80 | 3,322 | py | Python | flit_core/flit_core/tests/test_common.py | rahul-deepsource/flit | 5d5be0a9c6f77a2dbbffd3369ad8ac7813a926bf | [
"BSD-3-Clause"
] | null | null | null | flit_core/flit_core/tests/test_common.py | rahul-deepsource/flit | 5d5be0a9c6f77a2dbbffd3369ad8ac7813a926bf | [
"BSD-3-Clause"
] | null | null | null | flit_core/flit_core/tests/test_common.py | rahul-deepsource/flit | 5d5be0a9c6f77a2dbbffd3369ad8ac7813a926bf | [
"BSD-3-Clause"
] | 1 | 2021-06-24T10:21:43.000Z | 2021-06-24T10:21:43.000Z | import os.path as osp
from unittest import TestCase
import pytest
from flit_core.common import (
Module, get_info_from_module, InvalidVersion, NoVersionError, check_version,
normalize_file_permissions, Metadata
)
samples_dir = osp.join(osp.dirname(__file__), 'samples')
class ModuleTests(TestCase):
def te... | 35.340426 | 112 | 0.599639 | 2,351 | 0.707706 | 0 | 0 | 500 | 0.150512 | 0 | 0 | 642 | 0.193257 |
90af463579adb14e899b746a24caf95a35d80b1b | 3,017 | py | Python | flumine/markets/market.py | jsphon/flumine | bd5cacf9793d53a99595fe4694aeb9b8d2962abb | [
"MIT"
] | null | null | null | flumine/markets/market.py | jsphon/flumine | bd5cacf9793d53a99595fe4694aeb9b8d2962abb | [
"MIT"
] | null | null | null | flumine/markets/market.py | jsphon/flumine | bd5cacf9793d53a99595fe4694aeb9b8d2962abb | [
"MIT"
] | null | null | null | import datetime
import logging
from typing import Optional
from betfairlightweight.resources.bettingresources import MarketBook, MarketCatalogue
from .blotter import Blotter
from ..events import events
logger = logging.getLogger(__name__)
class Market:
def __init__(
self,
flumine,
market... | 33.153846 | 88 | 0.670534 | 2,773 | 0.919125 | 0 | 0 | 915 | 0.303281 | 0 | 0 | 115 | 0.038117 |
90b067d91d1317f4e26b80f4ccf8b819d42bc981 | 206 | py | Python | {{cookiecutter.project_name}}/tests/conftest.py | nelsonHolic/common-fastapi-microservice | 06a995264ced42a59565f1f703bab7bfed8e7cc1 | [
"MIT"
] | 1 | 2021-12-14T17:08:24.000Z | 2021-12-14T17:08:24.000Z | {{cookiecutter.project_name}}/tests/conftest.py | nelsonHolic/common-fastapi-microservice | 06a995264ced42a59565f1f703bab7bfed8e7cc1 | [
"MIT"
] | null | null | null | {{cookiecutter.project_name}}/tests/conftest.py | nelsonHolic/common-fastapi-microservice | 06a995264ced42a59565f1f703bab7bfed8e7cc1 | [
"MIT"
] | null | null | null | import pytest
from fastapi.testclient import TestClient
from {{cookiecutter.project_name}}.app import app
@pytest.fixture()
def app_client() -> TestClient:
client = TestClient(app)
return client
| 18.727273 | 49 | 0.757282 | 0 | 0 | 0 | 0 | 96 | 0.466019 | 0 | 0 | 0 | 0 |
90b264bddefd9c5d8b81c5073da1b99d48704da6 | 2,228 | py | Python | scripts/naive_search.py | simonbowly/lp-generators | 937c44074c234333b6a5408c3e18f498c2205948 | [
"MIT"
] | 9 | 2020-01-02T23:07:36.000Z | 2022-01-26T10:04:04.000Z | scripts/naive_search.py | simonbowly/lp-generators | 937c44074c234333b6a5408c3e18f498c2205948 | [
"MIT"
] | null | null | null | scripts/naive_search.py | simonbowly/lp-generators | 937c44074c234333b6a5408c3e18f498c2205948 | [
"MIT"
] | 1 | 2020-01-02T23:08:26.000Z | 2020-01-02T23:08:26.000Z |
import itertools
import multiprocessing
import json
import numpy as np
from tqdm import tqdm
from lp_generators.features import coeff_features, solution_features
from lp_generators.performance import clp_simplex_performance
from search_operators import lp_column_neighbour, lp_row_neighbour
from seeds import cli_see... | 33.253731 | 81 | 0.685817 | 0 | 0 | 0 | 0 | 520 | 0.233393 | 0 | 0 | 142 | 0.063734 |
90b42e2cf853da75296b6d0c2d2e8e3942e4a7bb | 1,066 | py | Python | tests/test_list_.py | aefalcon/iterable_collections | 8e3b4ea84083a100413f23af30ea27dfd4b838ff | [
"MIT"
] | 4 | 2018-06-05T14:07:56.000Z | 2021-04-17T12:09:23.000Z | tests/test_list_.py | aefalcon/iterable_collections | 8e3b4ea84083a100413f23af30ea27dfd4b838ff | [
"MIT"
] | 1 | 2018-07-10T19:53:54.000Z | 2018-07-10T19:58:38.000Z | tests/test_list_.py | aefalcon/iterable_collections | 8e3b4ea84083a100413f23af30ea27dfd4b838ff | [
"MIT"
] | 2 | 2020-01-29T10:51:11.000Z | 2021-11-11T21:37:24.000Z | import unittest
from iterable_collections import collect
class TestList_(unittest.TestCase):
def test_list(self):
c = collect(list(range(10))).list_()
self.assertEqual(c.iterable, list(list(range(10))))
def test_set(self):
c = collect(set(range(10))).list_()
self.assertEqual... | 29.611111 | 68 | 0.605066 | 1,004 | 0.941839 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0.022514 |
90b5ceb756a46b298c1cfb2d69501dea6821b502 | 8,354 | py | Python | parcels/parcels/examples/example_peninsula.py | pdnooteboom/NA_forams | 789b45d8cc14225f31242c9c648f4f36c76d2fc4 | [
"MIT"
] | 1 | 2021-04-12T16:07:42.000Z | 2021-04-12T16:07:42.000Z | parcels/parcels/examples/example_peninsula.py | pdnooteboom/NA_forams | 789b45d8cc14225f31242c9c648f4f36c76d2fc4 | [
"MIT"
] | null | null | null | parcels/parcels/examples/example_peninsula.py | pdnooteboom/NA_forams | 789b45d8cc14225f31242c9c648f4f36c76d2fc4 | [
"MIT"
] | 1 | 2021-04-12T16:07:45.000Z | 2021-04-12T16:07:45.000Z | from parcels import FieldSet, ParticleSet, ScipyParticle, JITParticle, Variable
from parcels import AdvectionRK4, AdvectionEE, AdvectionRK45
from argparse import ArgumentParser
import numpy as np
import math # NOQA
import pytest
from datetime import timedelta as delta
ptype = {'scipy': ScipyParticle, 'jit': JITParti... | 43.061856 | 112 | 0.649988 | 298 | 0.035672 | 0 | 0 | 1,421 | 0.170098 | 0 | 0 | 3,433 | 0.410941 |
90b614eb6ed41d954f776b1b26da34eda803102b | 456 | py | Python | TestBegin.py | FrankWangJQ/HttpRunner-master | f0456a5b7b9d23ddb54415b1ea5951416e9601ef | [
"MIT"
] | null | null | null | TestBegin.py | FrankWangJQ/HttpRunner-master | f0456a5b7b9d23ddb54415b1ea5951416e9601ef | [
"MIT"
] | null | null | null | TestBegin.py | FrankWangJQ/HttpRunner-master | f0456a5b7b9d23ddb54415b1ea5951416e9601ef | [
"MIT"
] | null | null | null | from httprunner import HttpRunner
import time
kwargs = {
"failfast":False,
#"dot_env_path": "/path/to/.env"
}
runner = HttpRunner(**kwargs)
#入口
runner.run("/Users/wangjianqing/PycharmProjects/HttpRunner-master/tests/testcases/Release/账号管理-设置项.yml")
runner.gen_html_report(html_report_name="reportTestForBeta... | 26.823529 | 192 | 0.800439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 284 | 0.599156 |
90b636cded4c580440a67538e3ed1bce323607f4 | 2,186 | py | Python | pyaz/synapse/sql/pool/classification/recommendation/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/synapse/sql/pool/classification/recommendation/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/synapse/sql/pool/classification/recommendation/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | 1 | 2022-02-03T09:12:01.000Z | 2022-02-03T09:12:01.000Z | '''
Manage sensitivity classification recommendations.
'''
from ...... pyaz_utils import _call_az
def list(name, resource_group, workspace_name, filter=None, included_disabled=None, skip_token=None):
'''
List the recommended sensitivity classifications of a given SQL pool.
Required Parameters:
- name ... | 42.038462 | 128 | 0.718664 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,780 | 0.814273 |
90b6494c1b5e12c59216a90f809c6005fdb48a7e | 333 | py | Python | December Month Challenge/4KthfactorN.py | adesh-gadge/LeetCodePractice | 4b142c102e64ec93465af7f4193762e8fd2866ec | [
"MIT"
] | null | null | null | December Month Challenge/4KthfactorN.py | adesh-gadge/LeetCodePractice | 4b142c102e64ec93465af7f4193762e8fd2866ec | [
"MIT"
] | null | null | null | December Month Challenge/4KthfactorN.py | adesh-gadge/LeetCodePractice | 4b142c102e64ec93465af7f4193762e8fd2866ec | [
"MIT"
] | null | null | null | class Solution:
def kthFactor(self, n: int, k: int) -> int:
s1 = set()
s2 = set()
for i in range(1,int(n**0.5)+1):
if n%i ==0:
s1.add(i)
s2.add(int(n/i))
l = list(s1|s2)
l.sort()
if k > len(l):
return -1
... | 25.615385 | 47 | 0.381381 | 333 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90b74a470408ddeb782e48bf20e39ffd4457275e | 1,755 | py | Python | dipy/utils/tests/test_arrfuncs.py | martcous/dipy | 6bff5655f03db19bde5aa951ffb91987983a889b | [
"MIT"
] | null | null | null | dipy/utils/tests/test_arrfuncs.py | martcous/dipy | 6bff5655f03db19bde5aa951ffb91987983a889b | [
"MIT"
] | null | null | null | dipy/utils/tests/test_arrfuncs.py | martcous/dipy | 6bff5655f03db19bde5aa951ffb91987983a889b | [
"MIT"
] | null | null | null | """ Testing array utilities
"""
import sys
import numpy as np
from ..arrfuncs import as_native_array, pinv, eigh
from numpy.testing import (assert_array_almost_equal,
assert_array_equal)
from nose.tools import assert_true, assert_false, assert_equal, assert_raises
NATIVE_ORDER = '<' if ... | 29.745763 | 77 | 0.616524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 73 | 0.041595 |
90b769e3d5d7b99ed6ee9f9dfa67655328ca1e58 | 1,571 | py | Python | ProgressBar.py | ArisKots1992/Similar-World-News-Articles | 426aef1d6d9566e66ad634bc8468d554d887551c | [
"MIT"
] | 1 | 2017-09-09T13:53:09.000Z | 2017-09-09T13:53:09.000Z | ProgressBar.py | ArisKots1992/Similar-World-News-Articles | 426aef1d6d9566e66ad634bc8468d554d887551c | [
"MIT"
] | null | null | null | ProgressBar.py | ArisKots1992/Similar-World-News-Articles | 426aef1d6d9566e66ad634bc8468d554d887551c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import sys
import math
#HOMEMADE WITHOUT ONLINE CODE by Aris
#LIENCE BY ARIS
class ProgressBar:
def __init__(self,max_size=36):
ProgressBar.max_size = max_size
ProgressBar.tick = 20.0/max_size
ProgressBar.progress_counter = 0.0
ProgressBar.counte... | 29.092593 | 84 | 0.57352 | 1,472 | 0.926369 | 0 | 0 | 0 | 0 | 0 | 0 | 201 | 0.126495 |
90b7ba0980ae3d667866aa6f68a2acda5b4f0621 | 1,895 | py | Python | src/vtra/plot/rail_network_map.py | GFDRR/vietnam-transport | 71f6fc8cb7f1ca7bccb9a29d544869b442e68bfc | [
"MIT"
] | 3 | 2018-07-09T12:15:46.000Z | 2020-12-03T07:02:23.000Z | src/vtra/plot/rail_network_map.py | GFDRR/vietnam-transport | 71f6fc8cb7f1ca7bccb9a29d544869b442e68bfc | [
"MIT"
] | 1 | 2019-05-09T21:57:20.000Z | 2019-05-09T21:57:20.000Z | src/vtra/plot/rail_network_map.py | GFDRR/vietnam-transport | 71f6fc8cb7f1ca7bccb9a29d544869b442e68bfc | [
"MIT"
] | 2 | 2018-07-23T12:49:21.000Z | 2021-06-03T11:00:44.000Z | """Rail network map
"""
import os
import sys
from collections import OrderedDict
import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader
import matplotlib.pyplot as plt
from vtra.utils import *
def main():
config = load_config()
output_file = os.path.join(config['paths']['figures'], 'rail-map.p... | 28.712121 | 77 | 0.604749 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 331 | 0.17467 |
90b801d343545a11009f0b5ecc8dd2af2c9f92ca | 3,189 | py | Python | ecommerce_project/apps/ecommerce/migrations/0001_initial.py | mlopezf2019/guadalupe_sowos_examen_3 | 813f960f2428ac5d753a02888134ac3992e9018e | [
"MIT"
] | null | null | null | ecommerce_project/apps/ecommerce/migrations/0001_initial.py | mlopezf2019/guadalupe_sowos_examen_3 | 813f960f2428ac5d753a02888134ac3992e9018e | [
"MIT"
] | null | null | null | ecommerce_project/apps/ecommerce/migrations/0001_initial.py | mlopezf2019/guadalupe_sowos_examen_3 | 813f960f2428ac5d753a02888134ac3992e9018e | [
"MIT"
] | null | null | null | # Generated by Django 3.1.1 on 2020-09-27 20:02
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('users', '0001_initial'),
]
operations = [
migrations.CreateModel(
... | 41.415584 | 123 | 0.54688 | 3,056 | 0.958294 | 0 | 0 | 0 | 0 | 0 | 0 | 475 | 0.14895 |
90b9151bc28db99fb5989633cea86f3faad362ff | 4,471 | py | Python | pydl/pydlspec2d/tests/test_spec1d.py | jhennawi/pydl | 3926aab6fd57c27e13d571156077de41343881c1 | [
"BSD-3-Clause"
] | null | null | null | pydl/pydlspec2d/tests/test_spec1d.py | jhennawi/pydl | 3926aab6fd57c27e13d571156077de41343881c1 | [
"BSD-3-Clause"
] | null | null | null | pydl/pydlspec2d/tests/test_spec1d.py | jhennawi/pydl | 3926aab6fd57c27e13d571156077de41343881c1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
import numpy as np
import os
from astropy.tests.helper import raises
from astropy.utils.data import get_pkg_data_filename
from .. import Pydlspec2dException
from ..spec1d import (HMF, findspec, spec_append, spec_path, template_metad... | 38.543103 | 79 | 0.47193 | 4,109 | 0.919034 | 0 | 0 | 0 | 0 | 0 | 0 | 539 | 0.120555 |
90b979db4f0ee9199884997c5ba3cb24bb11e60e | 7,800 | py | Python | final/good_evaluate.py | wuyuMk7/CSCI8980 | 9cceffcac7975ee158655f3953e27b502fc383ea | [
"MIT"
] | null | null | null | final/good_evaluate.py | wuyuMk7/CSCI8980 | 9cceffcac7975ee158655f3953e27b502fc383ea | [
"MIT"
] | null | null | null | final/good_evaluate.py | wuyuMk7/CSCI8980 | 9cceffcac7975ee158655f3953e27b502fc383ea | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import os
from absl import flags
import numpy as np
import skimage.io as io
import cv2
import matplotlib.pyplot as plt
# import tensorflow as tf
# from psbody.mesh import Mesh
from smpl_webuser.seria... | 34.513274 | 145 | 0.680385 | 1,328 | 0.170256 | 0 | 0 | 0 | 0 | 0 | 0 | 2,305 | 0.295513 |
90b9c9ce2f3208b12b35d5e78f9d7d9be8454378 | 92 | py | Python | quick-scan.py | B3ND1X/py-air-script | d6756cc2b5ec2a7e7950b13b09c78c776488fd6e | [
"Apache-2.0"
] | 2 | 2021-11-19T10:40:07.000Z | 2022-02-28T16:39:49.000Z | quick-scan.py | B3ND1X/py-air-script | d6756cc2b5ec2a7e7950b13b09c78c776488fd6e | [
"Apache-2.0"
] | null | null | null | quick-scan.py | B3ND1X/py-air-script | d6756cc2b5ec2a7e7950b13b09c78c776488fd6e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import os
os.system("sudo ./scan.py")
os.system("sudo ./enable-wifi.py")
| 15.333333 | 34 | 0.673913 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56 | 0.608696 |
90b9ca60618e207e4f11df9555b71806b45d69af | 1,538 | py | Python | src/classifier/classifier_tuning/tune_sklearn.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 14 | 2021-08-24T12:36:37.000Z | 2022-03-18T12:14:36.000Z | src/classifier/classifier_tuning/tune_sklearn.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | null | null | null | src/classifier/classifier_tuning/tune_sklearn.py | krangelie/bias-in-german-nlg | 9fbaf50fde7d41d64692ae90c41beae61bc78d44 | [
"MIT"
] | 1 | 2021-10-21T20:22:55.000Z | 2021-10-21T20:22:55.000Z | from sklearn.ensemble import RandomForestClassifier
import xgboost
def suggest_xgb(model_params, trial, xgb=None):
n_estimators = trial.suggest_int(
model_params.n_estimators.name,
model_params.n_estimators.lower,
model_params.n_estimators.upper,
model_params.n_estimators.step,
... | 27.963636 | 71 | 0.683355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.006502 |
90ba1f62b3ac0c6dc5b223b48142b7f90d52dc27 | 4,958 | py | Python | textgenrnn/model.py | cosandr/textgenrnn | b2140c1a5704e866ff934fbfad4e14f3c827d439 | [
"MIT"
] | null | null | null | textgenrnn/model.py | cosandr/textgenrnn | b2140c1a5704e866ff934fbfad4e14f3c827d439 | [
"MIT"
] | null | null | null | textgenrnn/model.py | cosandr/textgenrnn | b2140c1a5704e866ff934fbfad4e14f3c827d439 | [
"MIT"
] | null | null | null | from keras.optimizers import RMSprop
from keras.layers import Input, Embedding, Dense, LSTM, Bidirectional, GRU
from keras.layers import concatenate, Reshape, SpatialDropout1D
from keras.models import Model
from keras import backend as K
from .AttentionWeightedAverage import AttentionWeightedAverage
def textgenrnn_mo... | 40.308943 | 103 | 0.583905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 881 | 0.177693 |
90bbeed86ea6726d8cf4682e4d77c05a1d88ab5a | 121,331 | py | Python | tests/adapters/switches/brocade_test.py | FrancoisLopez/netman | a40d3235f7ea0cdaf52daab97b0d5ad20857b00e | [
"Apache-2.0"
] | 38 | 2015-11-30T10:11:42.000Z | 2022-02-10T18:31:44.000Z | tests/adapters/switches/brocade_test.py | FrancoisLopez/netman | a40d3235f7ea0cdaf52daab97b0d5ad20857b00e | [
"Apache-2.0"
] | 143 | 2015-12-10T19:00:42.000Z | 2020-08-20T13:51:42.000Z | tests/adapters/switches/brocade_test.py | FrancoisLopez/netman | a40d3235f7ea0cdaf52daab97b0d5ad20857b00e | [
"Apache-2.0"
] | 15 | 2015-12-14T23:03:30.000Z | 2019-01-15T19:35:45.000Z | # Copyright 2015 Internap.
#
# 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 writing, so... | 52.365559 | 170 | 0.645779 | 118,061 | 0.973049 | 0 | 0 | 2,991 | 0.024652 | 0 | 0 | 31,501 | 0.259629 |
90bd59aae81c9889080df91dbd28e4a9b304ffd9 | 1,384 | py | Python | eahub/base/models.py | walambert/eahub.org | 21b6111b2626e4739c249d0881d16fbc818094cb | [
"MIT"
] | 36 | 2019-02-22T23:07:14.000Z | 2022-02-10T13:24:27.000Z | eahub/base/models.py | walambert/eahub.org | 21b6111b2626e4739c249d0881d16fbc818094cb | [
"MIT"
] | 717 | 2019-02-21T22:07:55.000Z | 2022-02-26T15:17:49.000Z | eahub/base/models.py | walambert/eahub.org | 21b6111b2626e4739c249d0881d16fbc818094cb | [
"MIT"
] | 19 | 2019-04-14T14:37:56.000Z | 2022-02-14T22:05:16.000Z | import uuid
from authtools import models as authtools_models
from django.core.validators import URLValidator
from django.db import models
from django.utils import timezone
from solo.models import SingletonModel
class User(authtools_models.AbstractEmailUser):
# django-allauth puts Google or EA.org SSO data in tho... | 28.833333 | 85 | 0.710983 | 1,163 | 0.840318 | 0 | 0 | 0 | 0 | 0 | 0 | 226 | 0.163295 |
90bee561f7ee7014b2253c39a50c061487d0ec34 | 2,106 | py | Python | scripts/math/generate_matrix_test.py | chr15murray/ledger | 85be05221f19598de8c6c58652139a1f2d9e362f | [
"Apache-2.0"
] | 96 | 2018-08-23T16:49:05.000Z | 2021-11-25T00:47:16.000Z | scripts/math/generate_matrix_test.py | chr15murray/ledger | 85be05221f19598de8c6c58652139a1f2d9e362f | [
"Apache-2.0"
] | 1,011 | 2018-08-17T12:25:21.000Z | 2021-11-18T09:30:19.000Z | scripts/math/generate_matrix_test.py | chr15murray/ledger | 85be05221f19598de8c6c58652139a1f2d9e362f | [
"Apache-2.0"
] | 65 | 2018-08-20T20:05:40.000Z | 2022-02-26T23:54:35.000Z | import numpy as np
types = ["int", "float", "double"]
def randi(*args):
return np.random.randint(-10, 10, size=args)
rngs = {"int": randi, "float": np.random.randn, "double": np.random.randn}
embodiments = {
"function": "R.%s(A,B).AllClose(C)",
"op": "(A %s B).AllClose(C)",
"inline_op": "(R = A, R ... | 25.071429 | 85 | 0.417854 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 645 | 0.306268 |
90c01fddb271dd8ab9c578d5f65f7244cd0b0416 | 2,824 | py | Python | Lab 2/utils/inference_utils.py | davedecoder/aws-deepcomposer-samples | 34f94a04436dc3fa0ded8c353e0f3260f1b3305e | [
"MIT-0"
] | 6 | 2021-10-11T12:39:01.000Z | 2022-03-27T16:01:41.000Z | notebooks/AWS DeepComposer/reinvent-labs/lab-2/utils/inference_utils.py | jesussantana/AWS-Machine-Learning-Foundations | 526eddb486fe8398cafcc30184c4ecce49df5816 | [
"MIT"
] | null | null | null | notebooks/AWS DeepComposer/reinvent-labs/lab-2/utils/inference_utils.py | jesussantana/AWS-Machine-Learning-Foundations | 526eddb486fe8398cafcc30184c4ecce49df5816 | [
"MIT"
] | 5 | 2020-05-16T13:06:52.000Z | 2020-11-14T11:56:26.000Z | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# 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
# us... | 46.295082 | 127 | 0.725921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,293 | 0.457861 |
90c06ceec71cc460139a2abcafcd42b40b0a56a8 | 315 | py | Python | python/aisdk/player_movement.py | THUAI-Team/thuai2022-aisdk | 84d3239f3edd13cd9ffd9ad61c12890f393d8b88 | [
"MIT"
] | null | null | null | python/aisdk/player_movement.py | THUAI-Team/thuai2022-aisdk | 84d3239f3edd13cd9ffd9ad61c12890f393d8b88 | [
"MIT"
] | null | null | null | python/aisdk/player_movement.py | THUAI-Team/thuai2022-aisdk | 84d3239f3edd13cd9ffd9ad61c12890f393d8b88 | [
"MIT"
] | null | null | null | from enum import Enum
from sys import stderr
class PlayerMovement(Enum):
STOPPED = 0
WALKING = 1
RUNNING = 2
SLIPPED = 3
def to_json_representation(self):
return (str(self).split('.')[1]).lower()
class MovementNotAllowedError(ValueError):
def __init__(self, message):
super().__init__(message) | 22.5 | 44 | 0.714286 | 267 | 0.847619 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.009524 |
90c0801975d3d3c99714cb7e0cfc32ffb8ce7205 | 251 | py | Python | diagnosticApp/admin.py | LASI-UFPI/diagnostic-imaging | 7afd732dd76fe92bf6a2eba48e69fa4102a978cc | [
"MIT"
] | null | null | null | diagnosticApp/admin.py | LASI-UFPI/diagnostic-imaging | 7afd732dd76fe92bf6a2eba48e69fa4102a978cc | [
"MIT"
] | 10 | 2021-04-04T19:07:41.000Z | 2022-03-12T00:54:50.000Z | diagnosticApp/admin.py | LASI-UFPI/diagnostic-imaging | 7afd732dd76fe92bf6a2eba48e69fa4102a978cc | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Image
@admin.register(Image)
class ImageAdmin(admin.ModelAdmin):
list_display = ('image', 'predict_covid', 'predict_no_findings', 'predict_pneumonia', 'created_at', 'updated_at', 'activated_at')
| 35.857143 | 131 | 0.776892 | 167 | 0.665339 | 0 | 0 | 190 | 0.756972 | 0 | 0 | 100 | 0.398406 |
90c1b22f3826d40d5a8ce3040c417f17a6d33b58 | 1,247 | py | Python | digraph/source/generator.py | addy1997/python-RRT | 93983e17f2e6e93ff79c8f04a86ce28718ba2779 | [
"MIT"
] | 11 | 2020-05-28T00:55:55.000Z | 2022-01-03T10:59:26.000Z | digraph/source/generator.py | addy1997/Internship-HTIC | 93983e17f2e6e93ff79c8f04a86ce28718ba2779 | [
"MIT"
] | 1 | 2020-10-19T16:20:30.000Z | 2021-03-22T19:01:14.000Z | digraph/source/generator.py | addy1997/Internship-HTIC | 93983e17f2e6e93ff79c8f04a86ce28718ba2779 | [
"MIT"
] | 2 | 2021-07-07T01:09:50.000Z | 2022-03-12T23:40:56.000Z | #!/usr/bin/env python
# coding: utf-8
# In[2]:
from time import time
import networkx as nx
from source.DiGraph import DiGraph
from source.model.Edge import Edge
def text_to_dict(filename):
in_file = open("filename", "r")
lines = in_file.read()
in_file.close()
open_bracket = lines.index("{")
... | 18.893939 | 51 | 0.572574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 0.056937 |
90c3c10d1bd2a3bf341092a750b3ced35a3d1342 | 451 | py | Python | [1] BEGINNER/1000 - Hello World!.py | tiago040/URI-SOLUTIONS | 519d3950252a6002e8926416b2f8217ba08fe721 | [
"MIT"
] | 1 | 2022-03-15T03:03:26.000Z | 2022-03-15T03:03:26.000Z | [1] BEGINNER/1000 - Hello World!.py | tiago040/URI-SOLUTIONS | 519d3950252a6002e8926416b2f8217ba08fe721 | [
"MIT"
] | null | null | null | [1] BEGINNER/1000 - Hello World!.py | tiago040/URI-SOLUTIONS | 519d3950252a6002e8926416b2f8217ba08fe721 | [
"MIT"
] | null | null | null | '''
https://resources.urionlinejudge.com.br/gallery/images/problems/UOJ_1000.png
Bem-vindo ao URI Online Judge!
O seu primeiro programa em qualquer linguagem de programação normalmente é o "Hello World!". Neste primeiro problema tudo o que você precisa fazer é imprimir esta mensagem na tela.
Entrada
Este problema nã... | 30.066667 | 180 | 0.78714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 450 | 0.980392 |
90c4143d466cb79c3fc483f709341546a5611433 | 615 | py | Python | py/py_0668_square_root_smooth_numbers.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0668_square_root_smooth_numbers.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | py/py_0668_square_root_smooth_numbers.py | lcsm29/project-euler | fab794ece5aa7a11fc7c2177f26250f40a5b1447 | [
"MIT"
] | null | null | null | # Solution of;
# Project Euler Problem 668: Square root smooth Numbers
# https://projecteuler.net/problem=668
#
# A positive integer is called square root smooth if all of its prime factors
# are strictly less than its square root. Including the number $1$, there are
# $29$ square root smooth numbers not exceeding $... | 26.73913 | 78 | 0.705691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 464 | 0.754472 |
90c531d029592c14df121556138eab86864faa16 | 2,927 | py | Python | user/forms.py | Zidan-Kharisma-Sakana/uts-f02 | d29652cb73829ffa63e0ca4d0e5f8d6d62500367 | [
"Unlicense"
] | null | null | null | user/forms.py | Zidan-Kharisma-Sakana/uts-f02 | d29652cb73829ffa63e0ca4d0e5f8d6d62500367 | [
"Unlicense"
] | null | null | null | user/forms.py | Zidan-Kharisma-Sakana/uts-f02 | d29652cb73829ffa63e0ca4d0e5f8d6d62500367 | [
"Unlicense"
] | null | null | null | from django import forms
from django.contrib.auth import authenticate
from django.contrib.auth.models import User
from django.contrib.auth.forms import AuthenticationForm, UserCreationForm
from django.forms import ValidationError, EmailField
from user import models
class MyAuthenticationForm(AuthenticationForm):
... | 32.522222 | 98 | 0.585924 | 2,656 | 0.906794 | 0 | 0 | 0 | 0 | 0 | 0 | 699 | 0.238648 |
90c5a20a145e1728ffe9af8247c9eff4f8b98279 | 3,476 | py | Python | data-structures-and-algorithms/examples/binary_tree_recursive.py | vinnyhoward/til | 8bb0055578220c4d83ddd12ac34bbb2fd3ae000e | [
"MIT"
] | null | null | null | data-structures-and-algorithms/examples/binary_tree_recursive.py | vinnyhoward/til | 8bb0055578220c4d83ddd12ac34bbb2fd3ae000e | [
"MIT"
] | 32 | 2020-07-16T07:11:35.000Z | 2022-02-27T19:01:03.000Z | data-structures-and-algorithms/examples/binary_tree_recursive.py | vinnyhoward/til | 8bb0055578220c4d83ddd12ac34bbb2fd3ae000e | [
"MIT"
] | null | null | null | class Node(object): # Similar to Linked List initial set-up
def __init__(self, value): # Constructor
self.value = value
self.left = None
self.right = None
class BinaryTree(object):
def __init__(self, root):
self.root = Node(root)
def print_tree(self, traversal_type):
... | 31.315315 | 114 | 0.585155 | 1,702 | 0.489643 | 0 | 0 | 0 | 0 | 0 | 0 | 1,577 | 0.453682 |
90c608f7d84094a6c38930b235bc4cc2b22ca8af | 2,044 | py | Python | powerranger/files.py | clayboone/powerranger | 09315c8b37132add56ce31f1b0c1dd0b1692bd23 | [
"MIT"
] | null | null | null | powerranger/files.py | clayboone/powerranger | 09315c8b37132add56ce31f1b0c1dd0b1692bd23 | [
"MIT"
] | 8 | 2020-04-18T20:20:08.000Z | 2020-05-06T13:39:03.000Z | powerranger/files.py | clayboone/powerranger | 09315c8b37132add56ce31f1b0c1dd0b1692bd23 | [
"MIT"
] | null | null | null | import curses
import itertools
import os
from pathlib import Path
import stat
from typing import Optional, Union
import config
from colors import Colors
class Item:
"""An item inside of a Directory."""
def __init__(self, path: Union[Path, str]):
self._path = Path(path)
self._selected = False
... | 27.253333 | 98 | 0.620841 | 1,884 | 0.921722 | 529 | 0.258806 | 697 | 0.340998 | 0 | 0 | 347 | 0.169765 |
90c62d1dcdf46b749f960d31f0195049399228f2 | 12,647 | py | Python | parlai/mturk/webapp/run_mocks/mock_turk_manager.py | lizekang/ParlAI | 9e113105d1690deda0b372f6aeaf933ab58e3a72 | [
"BSD-3-Clause"
] | 1 | 2019-04-19T06:39:41.000Z | 2019-04-19T06:39:41.000Z | parlai/mturk/webapp/run_mocks/mock_turk_manager.py | lizekang/ParlAI | 9e113105d1690deda0b372f6aeaf933ab58e3a72 | [
"BSD-3-Clause"
] | null | null | null | parlai/mturk/webapp/run_mocks/mock_turk_manager.py | lizekang/ParlAI | 9e113105d1690deda0b372f6aeaf933ab58e3a72 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
im... | 39.276398 | 79 | 0.633826 | 11,925 | 0.942911 | 0 | 0 | 0 | 0 | 0 | 0 | 3,729 | 0.294853 |
90c6e79ecc4dd80005f6bae2d4343c17f1c96324 | 6,517 | py | Python | scripts/train_model.py | allenai/sledgehammer | 03982da9cd0c543a76832a903033c2d97dbfb113 | [
"Apache-2.0"
] | 47 | 2020-04-14T18:10:05.000Z | 2022-02-16T05:17:03.000Z | scripts/train_model.py | yardenTal1/sledgehammer | 842a48023451a81c83cdf29cdd7c601b1114a207 | [
"Apache-2.0"
] | 1 | 2020-05-04T19:35:06.000Z | 2020-06-08T02:53:53.000Z | scripts/train_model.py | yardenTal1/sledgehammer | 842a48023451a81c83cdf29cdd7c601b1114a207 | [
"Apache-2.0"
] | 9 | 2020-04-12T17:31:12.000Z | 2022-03-19T21:23:59.000Z | #!/usr/bin/env python
import sys
import os
import random
import copy
import subprocess
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
# PYTHON_DIR="/".join(os.environ['CONDA_EXE'].split("/")[:-2])+'/envs/allennlp_0.8.4/bin/'
exit_threshold=0.9
def main():
parser = arg_parser()
a... | 45.894366 | 570 | 0.603038 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,251 | 0.345404 |
90c797e8f34b8974fc670dfa1133ddb2a05d7a20 | 918 | py | Python | utils/gather_files.py | letsgo247/KFG | dd055fc8349a9ea95497d04ecc4b52c04e09debc | [
"MIT"
] | null | null | null | utils/gather_files.py | letsgo247/KFG | dd055fc8349a9ea95497d04ecc4b52c04e09debc | [
"MIT"
] | null | null | null | utils/gather_files.py | letsgo247/KFG | dd055fc8349a9ea95497d04ecc4b52c04e09debc | [
"MIT"
] | null | null | null | import os
import shutil
import time
def read_all_file(path):
output = os.listdir(path)
file_list = []
for i in output:
if os.path.isdir(path+"/"+i):
file_list.extend(read_all_file(path+"/"+i))
elif os.path.isfile(path+"/"+i):
file_list.append(path+"/"+i)
... | 27 | 65 | 0.604575 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 293 | 0.291833 |
90c806da308d72b961e15453707e27dd9643ad2b | 1,897 | py | Python | code/diva_evaluation_cli/bin/commands/actev_get_system_subcommands/git_command.py | wenhel/Argus | 39768a8d1671eb80f86bbd67e58478a4cbdcdeca | [
"MIT"
] | 4 | 2019-06-28T23:27:43.000Z | 2021-09-27T03:17:58.000Z | code/diva_evaluation_cli/bin/commands/actev_get_system_subcommands/git_command.py | wenhel/Argus | 39768a8d1671eb80f86bbd67e58478a4cbdcdeca | [
"MIT"
] | 2 | 2020-01-16T19:39:44.000Z | 2021-02-24T22:45:37.000Z | code/diva_evaluation_cli/bin/commands/actev_get_system_subcommands/git_command.py | wenhel/Argus | 39768a8d1671eb80f86bbd67e58478a4cbdcdeca | [
"MIT"
] | 1 | 2019-09-09T07:40:45.000Z | 2019-09-09T07:40:45.000Z | """Actev module: get-system git
Actev modules are used to parse actev commands in order to get arguments
before calling associated entry point methods to execute systems.
Warning: this file should not be modified: see src/entry_points to add your source code.
"""
from diva_evaluation_cli.bin.commands.actev_command i... | 43.113636 | 111 | 0.641012 | 1,554 | 0.819188 | 0 | 0 | 0 | 0 | 0 | 0 | 1,231 | 0.648919 |
90c8c7759fc79bbde613e0b6f813d1b176c1ecaf | 902 | py | Python | 1.8.first-promise.py | senpl/course-promises | df4b64a02d0a7ab4bb372c0fae5e92c98830cd44 | [
"MIT"
] | 3 | 2017-02-05T03:17:13.000Z | 2019-03-11T19:44:34.000Z | 1.8.first-promise.py | senpl/course-promises | df4b64a02d0a7ab4bb372c0fae5e92c98830cd44 | [
"MIT"
] | null | null | null | 1.8.first-promise.py | senpl/course-promises | df4b64a02d0a7ab4bb372c0fae5e92c98830cd44 | [
"MIT"
] | 7 | 2016-06-19T02:24:09.000Z | 2018-09-11T01:32:02.000Z | import re
textinput = widget_inputs["text1"]
comments = []
def commentizer(new):
if new not in comments:
comments.append(new)
is_correct = False
result = re.match(".*window.*", textinput, flags=re.IGNORECASE)
if result:
is_correct = True
commentizer("You're right, but there's a little more to it... | 29.096774 | 115 | 0.701774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 314 | 0.348115 |
90c8e1c41e29404a0d0d0511d6b46db43890fb89 | 4,106 | py | Python | test/test_markdown_parser.py | Asana/SGTM | 0e9e236980ed68e80e021470da6374945bbac501 | [
"MIT"
] | 8 | 2020-12-05T00:13:03.000Z | 2022-01-11T11:35:51.000Z | test/test_markdown_parser.py | Asana/SGTM | 0e9e236980ed68e80e021470da6374945bbac501 | [
"MIT"
] | 12 | 2020-12-14T18:21:21.000Z | 2022-03-29T17:06:20.000Z | test/test_markdown_parser.py | Asana/SGTM | 0e9e236980ed68e80e021470da6374945bbac501 | [
"MIT"
] | 2 | 2021-06-27T09:32:55.000Z | 2022-02-27T23:17:36.000Z | import unittest
from html import escape
from src.markdown_parser import convert_github_markdown_to_asana_xml
class TestConvertGithubMarkdownToAsanaXml(unittest.TestCase):
def test_basic_markdown(self):
md = """~~strike~~ **bold** _italic_ `code` [link](asana.com)"""
xml = convert_github_markdown_... | 33.933884 | 115 | 0.585485 | 3,904 | 0.950804 | 0 | 0 | 0 | 0 | 0 | 0 | 1,343 | 0.327082 |
90cb7a749d3451fbf2614d7b4cc6d0e278b4fb6b | 3,724 | py | Python | ansible/my_env/lib/python2.7/site-packages/ansible/modules/network/ftd/ftd_file_upload.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | 1 | 2019-04-16T21:23:15.000Z | 2019-04-16T21:23:15.000Z | ansible/my_env/lib/python2.7/site-packages/ansible/modules/network/ftd/ftd_file_upload.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | 5 | 2020-02-26T20:10:50.000Z | 2021-09-23T23:23:18.000Z | ansible/my_env/lib/python2.7/site-packages/ansible/modules/network/ftd/ftd_file_upload.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2018 Cisco and/or its affiliates.
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your ... | 33.854545 | 117 | 0.705961 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,072 | 0.556391 |
90cbba8be9d213494b028b083d0b0f3629b1868d | 1,244 | py | Python | agent/indy_catalyst_agent/messaging/trustping/routes.py | nairobi222/indy-catalyst | dcbd80524ace7747ecfecd716ff932e9b571d69a | [
"Apache-2.0"
] | 2 | 2019-08-16T11:21:10.000Z | 2022-01-03T21:10:59.000Z | agent/indy_catalyst_agent/messaging/trustping/routes.py | nairobi222/indy-catalyst | dcbd80524ace7747ecfecd716ff932e9b571d69a | [
"Apache-2.0"
] | null | null | null | agent/indy_catalyst_agent/messaging/trustping/routes.py | nairobi222/indy-catalyst | dcbd80524ace7747ecfecd716ff932e9b571d69a | [
"Apache-2.0"
] | null | null | null | """Trust ping admin routes."""
from aiohttp import web
from aiohttp_apispec import docs
from ..connections.models.connection_record import ConnectionRecord
from .messages.ping import Ping
from ...storage.error import StorageNotFoundError
@docs(tags=["trustping"], summary="Send a trust ping to a connection")
async d... | 29.619048 | 84 | 0.730707 | 0 | 0 | 0 | 0 | 844 | 0.678457 | 927 | 0.745177 | 304 | 0.244373 |
90cceb9760edd56688a99f6ee73a68bdf983a84e | 619 | py | Python | python/wotdbg.py | wanyancan/wot-debugserver | 4c6dd5c511659885abb355bef7c9318ed3e42937 | [
"MIT"
] | 32 | 2015-01-23T16:13:20.000Z | 2021-05-29T21:11:42.000Z | python/wotdbg.py | wanyancan/wot-debugserver | 4c6dd5c511659885abb355bef7c9318ed3e42937 | [
"MIT"
] | null | null | null | python/wotdbg.py | wanyancan/wot-debugserver | 4c6dd5c511659885abb355bef7c9318ed3e42937 | [
"MIT"
] | 16 | 2015-08-25T08:02:52.000Z | 2022-01-19T19:16:16.000Z | import os.path
import tcprepl
import BigWorld
def echo(s):
'''Send string to client'''
if tcprepl.write_client is not None:
tcprepl.write_client(s)
def exec_file(filename, exec_globals=None):
'''
Execute file
Try to find file named `filename` and execute it. If `exec_globals` is
spec... | 22.107143 | 74 | 0.660743 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 192 | 0.310178 |
90cd458888a31c41557f6a303abf3a9a1b516bae | 40 | py | Python | quicken/_internal/__init__.py | chrahunt/quicken | 2dd00a5f024d7b114b211aad8a2618ec8f101956 | [
"MIT"
] | 3 | 2019-11-12T17:56:08.000Z | 2022-03-12T03:43:10.000Z | quicken/_internal/__init__.py | chrahunt/quicken | 2dd00a5f024d7b114b211aad8a2618ec8f101956 | [
"MIT"
] | 47 | 2018-12-10T04:08:58.000Z | 2022-03-20T14:54:36.000Z | quicken/_internal/__init__.py | chrahunt/quicken | 2dd00a5f024d7b114b211aad8a2618ec8f101956 | [
"MIT"
] | 1 | 2019-11-12T17:55:17.000Z | 2019-11-12T17:55:17.000Z | class QuickenError(Exception):
pass
| 13.333333 | 30 | 0.75 | 39 | 0.975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90d0a5da5e0a56dfea4ae7b895d09b65486f6dc4 | 1,861 | py | Python | folderikon/exceptions.py | demberto/FolderIkon | 62088b3e46266a6a53632a1e85bdb3d0a46e8cab | [
"MIT"
] | 1 | 2021-10-30T17:49:28.000Z | 2021-10-30T17:49:28.000Z | folderikon/exceptions.py | demberto/FolderIkon | 62088b3e46266a6a53632a1e85bdb3d0a46e8cab | [
"MIT"
] | null | null | null | folderikon/exceptions.py | demberto/FolderIkon | 62088b3e46266a6a53632a1e85bdb3d0a46e8cab | [
"MIT"
] | null | null | null | """Exception which are not actually thrown, only their docstrings are used."""
import colorama
import sys
__all__ = [
"Error",
"ParentIsNotAFolderError",
"InvalidURLError",
"ImageFormatNotSupportedError",
"ImageNotSpecifiedError",
"FolderIconAlreadyExistsError",
"DesktopIniError",
"exc... | 22.975309 | 108 | 0.652875 | 1,437 | 0.772166 | 0 | 0 | 126 | 0.067706 | 0 | 0 | 696 | 0.373992 |
90d0ff663bec28d2147cf9908b2baeccc98682a7 | 1,224 | py | Python | quickbooks/objects/companycurrency.py | varunbheemaiah/python-quickbooks | f5459a07619ae220e24099c6e0c8e8db890bb66b | [
"MIT"
] | 234 | 2015-08-25T02:41:33.000Z | 2020-03-30T15:30:23.000Z | quickbooks/objects/companycurrency.py | varunbheemaiah/python-quickbooks | f5459a07619ae220e24099c6e0c8e8db890bb66b | [
"MIT"
] | 170 | 2015-09-12T07:02:32.000Z | 2020-03-20T13:34:34.000Z | quickbooks/objects/companycurrency.py | varunbheemaiah/python-quickbooks | f5459a07619ae220e24099c6e0c8e8db890bb66b | [
"MIT"
] | 142 | 2015-08-26T07:08:56.000Z | 2020-03-20T11:59:52.000Z | from six import python_2_unicode_compatible
from .base import QuickbooksManagedObject, QuickbooksTransactionEntity, Ref, CustomField, MetaData
@python_2_unicode_compatible
class CompanyCurrency(QuickbooksManagedObject, QuickbooksTransactionEntity):
"""
QBO definition: Applicable only for those companies that ... | 28.465116 | 107 | 0.688725 | 1,049 | 0.857026 | 0 | 0 | 1,078 | 0.880719 | 0 | 0 | 437 | 0.357026 |
90d1622a98abf59a298f4b58a00b76f812b4c744 | 604 | py | Python | books/migrations/0004_alter_book_category.py | MwinyiMoha/books-service | 31a980a8505c5d5c2acad698bb493fad8c0ce8fe | [
"MIT"
] | null | null | null | books/migrations/0004_alter_book_category.py | MwinyiMoha/books-service | 31a980a8505c5d5c2acad698bb493fad8c0ce8fe | [
"MIT"
] | 3 | 2021-04-08T17:44:07.000Z | 2021-04-12T09:38:26.000Z | books/migrations/0004_alter_book_category.py | MwinyiMoha/books-service | 31a980a8505c5d5c2acad698bb493fad8c0ce8fe | [
"MIT"
] | null | null | null | # Generated by Django 3.2 on 2021-04-10 12:34
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("books", "0003_auto_20210410_1231")]
operations = [
migrations.AlterField(
model_name="book",
name="category",
field=mod... | 24.16 | 57 | 0.47351 | 513 | 0.849338 | 0 | 0 | 0 | 0 | 0 | 0 | 152 | 0.251656 |
90d18046bd7a28075eedb453f3f4d1aabe4f7e65 | 16,575 | py | Python | syft/execution/placeholder.py | juharris/PySyft | dbb70f24cc55a7dca032fb06f1a8662cb15092a9 | [
"Apache-2.0"
] | null | null | null | syft/execution/placeholder.py | juharris/PySyft | dbb70f24cc55a7dca032fb06f1a8662cb15092a9 | [
"Apache-2.0"
] | null | null | null | syft/execution/placeholder.py | juharris/PySyft | dbb70f24cc55a7dca032fb06f1a8662cb15092a9 | [
"Apache-2.0"
] | null | null | null | from itertools import zip_longest
import syft
from syft.generic.frameworks.hook import hook_args
from syft.generic.abstract.tensor import AbstractTensor
from syft.workers.abstract import AbstractWorker
from syft_proto.execution.v1.placeholder_pb2 import Placeholder as PlaceholderPB
class PlaceHolder(AbstractTensor):... | 37.247191 | 98 | 0.640422 | 16,193 | 0.976953 | 0 | 0 | 8,575 | 0.517345 | 0 | 0 | 5,092 | 0.30721 |
90d1a9736c8c20db26fd37eb2b021b1ef2da5b41 | 21,547 | py | Python | creativeflow/blender/render_main.py | idaho777/creativeflow | adf7a9e1cf70005560cfbf8064137fb1236bc574 | [
"MIT"
] | 53 | 2019-10-02T17:10:49.000Z | 2022-03-04T17:35:26.000Z | creativeflow/blender/render_main.py | idaho777/creativeflow | adf7a9e1cf70005560cfbf8064137fb1236bc574 | [
"MIT"
] | 1 | 2021-09-24T01:00:54.000Z | 2021-09-24T03:06:43.000Z | creativeflow/blender/render_main.py | idaho777/creativeflow | adf7a9e1cf70005560cfbf8064137fb1236bc574 | [
"MIT"
] | 6 | 2019-11-26T11:44:45.000Z | 2021-11-11T22:23:50.000Z | """
MAIN STYLING AND RENDERING FILE
Requirements:
------------------------------------------------------------------------------
IMPORTANT! This has only been tested with Blender 2.79 API. We have run this
on Linux and MacOS.
Execution:
------------------------------------------------------------------------------
Th... | 49.194064 | 108 | 0.58616 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,526 | 0.442103 |
90d3d04333f570bee6151ef38e0d8057f563ad15 | 5,004 | py | Python | atlas/foundations_contrib/src/test/archiving/test_artifact_downloader.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 296 | 2020-03-16T19:55:00.000Z | 2022-01-10T19:46:05.000Z | atlas/foundations_contrib/src/test/archiving/test_artifact_downloader.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 57 | 2020-03-17T11:15:57.000Z | 2021-07-10T14:42:27.000Z | atlas/foundations_contrib/src/test/archiving/test_artifact_downloader.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 38 | 2020-03-17T21:06:05.000Z | 2022-02-08T03:19:34.000Z |
from foundations_spec import *
from unittest.mock import call
class TestArtifactDownloader(Spec):
mock_archiver = let_mock()
make_directory_mock = let_patch_mock('os.makedirs')
@let
def source_directory(self):
return self.faker.uri_path()
@let
def download_directory(self):
... | 42.769231 | 146 | 0.689249 | 4,932 | 0.985612 | 0 | 0 | 1,198 | 0.239408 | 0 | 0 | 1,027 | 0.205236 |
90d3d4041471f93cb0f82d38f927e393e1e21818 | 34,846 | py | Python | lib/python3.5/functional/test/test_functional.py | mklan/NX-Rom-Market | 33613d2177b63df9e0568038ffdf1dd91ad334d8 | [
"MIT"
] | 21 | 2021-01-10T16:44:55.000Z | 2022-03-03T13:15:07.000Z | lib/python3.5/functional/test/test_functional.py | mklan/NX-Rom-Market | 33613d2177b63df9e0568038ffdf1dd91ad334d8 | [
"MIT"
] | 3 | 2021-01-10T15:38:50.000Z | 2021-04-29T09:45:47.000Z | lib/python3.5/functional/test/test_functional.py | mklan/NX-Rom-Market | 33613d2177b63df9e0568038ffdf1dd91ad334d8 | [
"MIT"
] | 1 | 2021-01-10T15:07:38.000Z | 2021-01-10T15:07:38.000Z | # pylint: skip-file
import unittest
import array
from collections import namedtuple
from itertools import product
from functional.pipeline import Sequence, is_iterable, _wrap, extend
from functional.transformations import name
from functional import seq, pseq
Data = namedtuple("Data", "x y")
def pandas_is_installed... | 34.229862 | 88 | 0.544711 | 34,394 | 0.987029 | 0 | 0 | 1,141 | 0.032744 | 0 | 0 | 1,316 | 0.037766 |
90d42edecd2171b0bdded78b6fa56be73310676a | 9,412 | py | Python | tests/test_git_commit_one_file.py | mubashshirjamal/code | d9c7adf7efed8e9c1ab3ff8cdeb94e7eb1a45382 | [
"BSD-3-Clause"
] | 1,582 | 2015-01-05T02:41:44.000Z | 2022-03-30T20:03:22.000Z | tests/test_git_commit_one_file.py | mubashshirjamal/code | d9c7adf7efed8e9c1ab3ff8cdeb94e7eb1a45382 | [
"BSD-3-Clause"
] | 66 | 2015-01-23T07:58:04.000Z | 2021-11-12T02:23:27.000Z | tests/test_git_commit_one_file.py | mubashshirjamal/code | d9c7adf7efed8e9c1ab3ff8cdeb94e7eb1a45382 | [
"BSD-3-Clause"
] | 347 | 2015-01-05T07:47:07.000Z | 2021-09-20T21:22:32.000Z | # -*- coding: utf-8 -*-
import os
from vilya.models.project import CodeDoubanProject
from vilya.models import git
from tests.base import TestCase
from tests.utils import mkdtemp
from vilya.libs import gyt
from vilya.libs.permdir import get_repo_root
class TestGit(TestCase):
@property
def u(self):
... | 42.977169 | 95 | 0.595516 | 9,155 | 0.972694 | 0 | 0 | 56 | 0.00595 | 0 | 0 | 2,461 | 0.261475 |
90d5aacb48382d69453f984a43223f2aa79a4272 | 11,704 | py | Python | py/desitarget/train/data_preparation/PredCountsFromQLF_ClassModule.py | echaussidon/desitarget | 1206380dac5155b9e7bf238c7cb187bc797d78a3 | [
"BSD-3-Clause"
] | 13 | 2016-02-02T00:26:21.000Z | 2022-01-14T07:31:59.000Z | py/desitarget/train/data_preparation/PredCountsFromQLF_ClassModule.py | echaussidon/desitarget | 1206380dac5155b9e7bf238c7cb187bc797d78a3 | [
"BSD-3-Clause"
] | 674 | 2015-09-15T15:02:06.000Z | 2022-02-23T18:39:02.000Z | py/desitarget/train/data_preparation/PredCountsFromQLF_ClassModule.py | echaussidon/desitarget | 1206380dac5155b9e7bf238c7cb187bc797d78a3 | [
"BSD-3-Clause"
] | 29 | 2015-06-09T13:51:48.000Z | 2021-06-05T06:03:18.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import re
import numpy as np
from scipy.interpolate import interp2d
from scipy.interpolate import interp1d
class PredCountsFromQLF_Class():
def __init__(self):
self.QLF_OK = False
self.EFF_OK = False
self.QLF_EFF_OK = False
# QLF
... | 38.5 | 114 | 0.605092 | 11,547 | 0.986586 | 0 | 0 | 0 | 0 | 0 | 0 | 691 | 0.05904 |
90d6fa60d16e379bff07b720da304a90340377ce | 1,135 | py | Python | safe_control_gym/controllers/__init__.py | gokhanalcan/safe-control-gym | e9086e102663a60a66f2cc9c8cd7610888744056 | [
"MIT"
] | null | null | null | safe_control_gym/controllers/__init__.py | gokhanalcan/safe-control-gym | e9086e102663a60a66f2cc9c8cd7610888744056 | [
"MIT"
] | null | null | null | safe_control_gym/controllers/__init__.py | gokhanalcan/safe-control-gym | e9086e102663a60a66f2cc9c8cd7610888744056 | [
"MIT"
] | null | null | null | """Register controllers.
"""
from safe_control_gym.utils.registration import register
register(id="mpc",
entry_point="safe_control_gym.controllers.mpc.mpc:MPC",
config_entry_point="safe_control_gym.controllers.mpc:mpc.yaml")
register(id="linear_mpc",
entry_point="safe_control_gym.controlle... | 39.137931 | 91 | 0.757709 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 669 | 0.589427 |
90d7c582c62cd57d3012bffede812a95aec2d89a | 378 | py | Python | tests/plot_profile/test_utils.py | mizeller/plot_profile | 832f1d47a182d65747f18cf1ac90afc9a3b821c1 | [
"MIT"
] | null | null | null | tests/plot_profile/test_utils.py | mizeller/plot_profile | 832f1d47a182d65747f18cf1ac90afc9a3b821c1 | [
"MIT"
] | 3 | 2021-11-10T15:37:27.000Z | 2022-03-28T13:29:42.000Z | tests/plot_profile/test_utils.py | MeteoSwiss-APN/plot_profile | 832f1d47a182d65747f18cf1ac90afc9a3b821c1 | [
"MIT"
] | null | null | null | """Test module ``plot_profile/utils.py``."""
# Standard library
import logging
# First-party
from plot_profile.utils import count_to_log_level
def test_count_to_log_level():
assert count_to_log_level(0) == logging.ERROR
assert count_to_log_level(1) == logging.WARNING
assert count_to_log_level(2) == loggi... | 27 | 51 | 0.759259 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.198413 |
90d92df312eb9bb3199567f0c02a6aff1611d818 | 1,116 | py | Python | spider/utilities/util_config.py | YunofHD/PSpider | c1c9e1e7c61365e140a55541cc558d7c1b9e50f2 | [
"BSD-2-Clause"
] | null | null | null | spider/utilities/util_config.py | YunofHD/PSpider | c1c9e1e7c61365e140a55541cc558d7c1b9e50f2 | [
"BSD-2-Clause"
] | null | null | null | spider/utilities/util_config.py | YunofHD/PSpider | c1c9e1e7c61365e140a55541cc558d7c1b9e50f2 | [
"BSD-2-Clause"
] | null | null | null | # _*_ coding: utf-8 _*_
"""
util_config.py by xianhu
"""
__all__ = [
"CONFIG_FETCH_MESSAGE",
"CONFIG_PARSE_MESSAGE",
"CONFIG_MESSAGE_PATTERN",
"CONFIG_URL_LEGAL_PATTERN",
"CONFIG_URL_ILLEGAL_PATTERN",
]
# define the structure of message, used in Fetcher and Parser
CONFIG_FETCH_MESSAGE = "priority... | 42.923077 | 147 | 0.634409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 836 | 0.749104 |
90d9a5726836680355d0f136ca02e9d3ff263f57 | 1,087 | py | Python | modcma/__main__.py | IOHprofiler/ModularCMAES | 5ae3310d68b7e2bc37ef10de07945e89c16d6654 | [
"MIT"
] | 2 | 2021-04-08T06:16:21.000Z | 2022-01-25T18:18:51.000Z | modcma/__main__.py | IOHprofiler/ModularCMAES | 5ae3310d68b7e2bc37ef10de07945e89c16d6654 | [
"MIT"
] | 3 | 2020-11-16T15:24:53.000Z | 2021-11-10T10:27:50.000Z | modcma/__main__.py | IOHprofiler/ModularCMAES | 5ae3310d68b7e2bc37ef10de07945e89c16d6654 | [
"MIT"
] | 2 | 2021-01-13T15:36:46.000Z | 2021-04-08T06:24:25.000Z | """Allows the user to call the library as a cli-module."""
from argparse import ArgumentParser
from .modularcmaes import evaluate_bbob
parser = ArgumentParser(description="Run single function CMAES")
parser.add_argument(
"-f", "--fid", type=int, help="bbob function id", required=False, default=5
)
parser.add_ar... | 29.378378 | 79 | 0.689052 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 317 | 0.291628 |
90da83a21ced32c3bda1f81dfc548d05d09d8656 | 7,303 | py | Python | src/rto/optimization/solvers/de.py | vicrsp/rto | e9e0b87533ae6bc5e6ad228bb26172384802f9b7 | [
"MIT"
] | null | null | null | src/rto/optimization/solvers/de.py | vicrsp/rto | e9e0b87533ae6bc5e6ad228bb26172384802f9b7 | [
"MIT"
] | 17 | 2020-10-24T18:03:54.000Z | 2020-11-11T22:25:16.000Z | src/rto/optimization/solvers/de.py | vicrsp/rto | e9e0b87533ae6bc5e6ad228bb26172384802f9b7 | [
"MIT"
] | null | null | null | import numpy as np
class DifferentialEvolution:
def __init__(self, lb, ub, mutation_prob=0.5, pop_size=10, max_generations=100, de_type='rand/1/bin', callback=None):
self.lb = np.asarray(lb).reshape(1, -1)
self.ub = np.asarray(ub).reshape(1, -1)
self.population_size = pop_size
self... | 37.451282 | 121 | 0.546899 | 7,281 | 0.996988 | 0 | 0 | 0 | 0 | 0 | 0 | 668 | 0.091469 |
90db629f11aa0043b43ed88cb2e40c8fc351233e | 2,122 | py | Python | openmdao/matrices/csr_matrix.py | onodip/OpenMDAO | 96a99806fb3a547b881d2ad3da2733bca9978567 | [
"Apache-2.0"
] | null | null | null | openmdao/matrices/csr_matrix.py | onodip/OpenMDAO | 96a99806fb3a547b881d2ad3da2733bca9978567 | [
"Apache-2.0"
] | null | null | null | openmdao/matrices/csr_matrix.py | onodip/OpenMDAO | 96a99806fb3a547b881d2ad3da2733bca9978567 | [
"Apache-2.0"
] | null | null | null | """Define the CSRmatrix class."""
import numpy as np
from scipy.sparse import coo_matrix
from six import iteritems
from openmdao.matrices.coo_matrix import COOMatrix
class CSRMatrix(COOMatrix):
"""
Sparse matrix in Compressed Row Storage format.
"""
def _build(self, num_rows, num_cols):
"""... | 34.786885 | 83 | 0.60132 | 1,951 | 0.919416 | 0 | 0 | 0 | 0 | 0 | 0 | 941 | 0.44345 |
90decc71935f62f946a40921c43b3f8580f075de | 2,398 | py | Python | setup.py | medchemfi/sdfconf | 81b1ed383c1d4b3e633fdc555e4027091226b025 | [
"MIT"
] | 6 | 2021-12-27T07:55:16.000Z | 2022-01-26T04:36:53.000Z | setup.py | medchemfi/sdfconf | 81b1ed383c1d4b3e633fdc555e4027091226b025 | [
"MIT"
] | null | null | null | setup.py | medchemfi/sdfconf | 81b1ed383c1d4b3e633fdc555e4027091226b025 | [
"MIT"
] | 3 | 2022-01-06T13:54:48.000Z | 2022-01-26T04:36:54.000Z | # -*- coding: utf-8 -*-
from setuptools import setup, find_packages
import re
import os
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
with open("src/sdfconf/_version.py", "rt") as vf:
VSRE = r"^__version__ = ['\"]([^'\"]*)['\"]"
for line in vf:
mo = re.search... | 42.821429 | 97 | 0.470809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,025 | 0.427083 |
90df7ee581fbe2b55cfc18df37ae0baf763d0554 | 2,453 | py | Python | stacks/cognito_stack.py | adamdubey/devops-serverless-app-aws-cdk | 3e1ba3f9905c4f8469275e51448fb908b64a736a | [
"MIT"
] | null | null | null | stacks/cognito_stack.py | adamdubey/devops-serverless-app-aws-cdk | 3e1ba3f9905c4f8469275e51448fb908b64a736a | [
"MIT"
] | null | null | null | stacks/cognito_stack.py | adamdubey/devops-serverless-app-aws-cdk | 3e1ba3f9905c4f8469275e51448fb908b64a736a | [
"MIT"
] | null | null | null | from aws_cdk import (
aws_cognito as cognito,
aws_iam as iam,
aws_ssm as ssm,
core
)
class CognitoStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
prj_name = self.node.try_get_context("project_name")
... | 34.069444 | 77 | 0.538932 | 2,350 | 0.958011 | 0 | 0 | 0 | 0 | 0 | 0 | 306 | 0.124745 |
90dfa79ebe79555eaeba7589bba91bb7586ad592 | 3,570 | py | Python | cloudrail/knowledge/rules/aws/context_aware/s3_bucket_policy_vpc_endpoint_rule.py | my-devops-info/cloudrail-knowledge | b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e | [
"MIT"
] | null | null | null | cloudrail/knowledge/rules/aws/context_aware/s3_bucket_policy_vpc_endpoint_rule.py | my-devops-info/cloudrail-knowledge | b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e | [
"MIT"
] | null | null | null | cloudrail/knowledge/rules/aws/context_aware/s3_bucket_policy_vpc_endpoint_rule.py | my-devops-info/cloudrail-knowledge | b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e | [
"MIT"
] | null | null | null | from typing import Dict, List
from cloudrail.knowledge.context.aws.iam.policy import S3Policy
from cloudrail.knowledge.context.aws.iam.policy_statement import StatementEffect
from cloudrail.knowledge.context.aws.s3.s3_bucket import S3Bucket
from cloudrail.knowledge.context.aws.ec2.vpc import Vpc
from cloudrail.knowled... | 51.73913 | 123 | 0.671989 | 2,900 | 0.812325 | 0 | 0 | 1,503 | 0.421008 | 0 | 0 | 326 | 0.091317 |
90e09e247242d171d4b02ca536f204cbdf79e682 | 2,034 | py | Python | src/gluonts/core/serde/_json.py | PascalIversen/gluon-ts | cb6b5145b94f942f7803383a70813363f6953509 | [
"Apache-2.0"
] | 1 | 2020-11-30T18:05:24.000Z | 2020-11-30T18:05:24.000Z | src/gluonts/core/serde/_json.py | PascalIversen/gluon-ts | cb6b5145b94f942f7803383a70813363f6953509 | [
"Apache-2.0"
] | null | null | null | src/gluonts/core/serde/_json.py | PascalIversen/gluon-ts | cb6b5145b94f942f7803383a70813363f6953509 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License").
# You may not use this file except in compliance with the License.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... | 26.076923 | 75 | 0.67355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,738 | 0.854474 |
90e1d06ca5448614066727df6e46a00f224d0fe4 | 36,937 | py | Python | run.py | Aisbergg/docker-image-arch-aur-makepkg | 26b7fed14838f52560c8fd4ba222c1c3d41ce00d | [
"MIT"
] | 7 | 2017-07-24T15:19:29.000Z | 2018-11-18T21:59:13.000Z | run.py | Aisbergg/docker-image-arch-aur-makepkg | 26b7fed14838f52560c8fd4ba222c1c3d41ce00d | [
"MIT"
] | 1 | 2018-06-12T10:30:23.000Z | 2018-06-12T15:54:01.000Z | run.py | Aisbergg/docker-image-arch-aur-makepkg | 26b7fed14838f52560c8fd4ba222c1c3d41ce00d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
import os
import sys
import re
import shutil
import tempfile
import pwd
import grp
import tarfile
import time
import glob
import urllib.request
from subprocess import Popen, PIPE
import aur
import pacman
local_source_dir = '/makepkg/local_src'
build_dir = os.path.abspath('/makepkg/b... | 35.861165 | 166 | 0.570133 | 17,632 | 0.477198 | 153 | 0.004141 | 0 | 0 | 0 | 0 | 11,071 | 0.299629 |
90e34a12e8b9e4a3553e847fbec09a27e4f92d6a | 12,680 | py | Python | test/test_schemagen.py | hd23408/nist-schemagen | 258e453d6f3bdc763e48e2c32668c932f7ffcd40 | [
"MIT"
] | 1 | 2021-09-01T02:11:03.000Z | 2021-09-01T02:11:03.000Z | test/test_schemagen.py | hd23408/nist-schemagen | 258e453d6f3bdc763e48e2c32668c932f7ffcd40 | [
"MIT"
] | null | null | null | test/test_schemagen.py | hd23408/nist-schemagen | 258e453d6f3bdc763e48e2c32668c932f7ffcd40 | [
"MIT"
] | null | null | null | """Test methods for testing the schemagen package (specifically,
the SchemaGenerator class).
Typical usage example:
python -m unittest
or, to run a single test:
python -m unittest -k test__build_schema
"""
import unittest
import pathlib
import logging
import copy
import os
import pandas as pd
import numpy a... | 38.895706 | 146 | 0.711435 | 9,870 | 0.778391 | 0 | 0 | 0 | 0 | 0 | 0 | 5,358 | 0.422555 |
90e49b3af233dbd74b52999ca2aa64df02b0beff | 368 | py | Python | core/migrations/0008_auto_20190528_1802.py | peterson-dev/code-snippet-app | b5ecb7b8b679c307d361a7ce100d4115f92d99a5 | [
"MIT"
] | 2 | 2019-05-22T21:54:43.000Z | 2019-05-26T22:22:14.000Z | core/migrations/0008_auto_20190528_1802.py | peterson-dev/code-snippet-app | b5ecb7b8b679c307d361a7ce100d4115f92d99a5 | [
"MIT"
] | 14 | 2020-02-12T00:04:05.000Z | 2022-03-11T23:51:10.000Z | core/migrations/0008_auto_20190528_1802.py | peterson-dev/kode-kangaroo | b5ecb7b8b679c307d361a7ce100d4115f92d99a5 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.1 on 2019-05-28 22:02
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('core', '0007_auto_20190523_1740'),
]
operations = [
migrations.RenameField(
model_name='snippet',
old_name='post_content',
... | 19.368421 | 47 | 0.589674 | 283 | 0.769022 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.298913 |
90e4c87211faae293a93093b6b860b2f8d021a50 | 2,740 | py | Python | scripts/Biupdownsample/grad_check.py | dongdong93/a2u_matting | 1d0ad8e630cce50c5b36c40ad384c888d292f9a8 | [
"MIT"
] | 22 | 2021-04-28T03:48:53.000Z | 2022-01-24T09:42:53.000Z | scripts/Biupdownsample/grad_check.py | dongdong93/a2u_matting | 1d0ad8e630cce50c5b36c40ad384c888d292f9a8 | [
"MIT"
] | 1 | 2021-08-08T20:10:18.000Z | 2021-08-23T07:33:38.000Z | scripts/Biupdownsample/grad_check.py | dongdong93/a2u_matting | 1d0ad8e630cce50c5b36c40ad384c888d292f9a8 | [
"MIT"
] | 5 | 2021-09-17T08:02:06.000Z | 2022-01-24T09:43:03.000Z | import os.path as osp
import sys
import subprocess
subprocess.call(['pip', 'install', 'cvbase'])
import cvbase as cvb
import torch
from torch.autograd import gradcheck
sys.path.append(osp.abspath(osp.join(__file__, '../../')))
from biupdownsample import biupsample_naive, BiupsampleNaive
from biupdownsample import bid... | 31.494253 | 79 | 0.691606 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 439 | 0.160219 |